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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "WNK7vbHo-KYU"
+   },
+   "source": [
+    "## Bayesian methods of hyperparameter optimization"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "BlFdvPwF-KYW"
+   },
+   "source": [
+    "In addition to the random search and the grid search methods for selecting optimal hyperparameters, we can use Bayesian methods of probabilities to select the optimal hyperparameters for an algorithm.\n",
+    "\n",
+    "In this case study, we will be using the BayesianOptimization library to perform hyperparmater tuning. This library has very good documentation which you can find here: https://github.com/fmfn/BayesianOptimization\n",
+    "\n",
+    "You will need to install the Bayesian optimization module. Running a cell with an exclamation point in the beginning of the command will run it as a shell command — please do this to install this module from our notebook in the cell below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "Pssx080d-Ulf"
+   },
+   "outputs": [],
+   "source": [
+    "#!pip install bayesian-optimization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-04-22T16:39:09.312682Z",
+     "start_time": "2019-04-22T16:39:09.309208Z"
+    },
+    "_kg_hide-input": true,
+    "colab": {},
+    "colab_type": "code",
+    "id": "l9nfFTyj-KYY"
+   },
+   "outputs": [],
+   "source": [
+    "import warnings\n",
+    "warnings.filterwarnings('ignore')\n",
+    "from sklearn.preprocessing import LabelEncoder\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import lightgbm\n",
+    "from bayes_opt import BayesianOptimization\n",
+    "from catboost import CatBoostClassifier, cv, Pool"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 85
+    },
+    "colab_type": "code",
+    "id": "D16Dquw1AAK0",
+    "outputId": "44167587-f22e-4bf5-a816-e2bcfdc6c4ee"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['.git',\n",
+       " '.gitignore',\n",
+       " '.ipynb_checkpoints',\n",
+       " 'api_data_wrangling_mini_project.ipynb',\n",
+       " 'Bayesian_optimization_case_study.ipynb',\n",
+       " 'Bayesian_optimization_case_studyclean.ipynb',\n",
+       " 'Clustering Case Study - Customer Segmentation with K-Means - Tier 3.ipynb',\n",
+       " 'Cosine_Similarity_Case_Study.ipynb',\n",
+       " 'data',\n",
+       " 'Euclidean_and_Manhattan_Distances_Case_Study.ipynb',\n",
+       " 'Feature Engineering.ipynb',\n",
+       " 'Generalist Specialization',\n",
+       " 'Gradient Boosting Case Study.ipynb',\n",
+       " 'GridSearchKNN_Case_Study.ipynb',\n",
+       " 'GridSearchKNN_Case_Studyclean.ipynb',\n",
+       " 'Jessica Williams Springboard Regression Case Study - the Red Wine Dataset - Tier 3.ipynb',\n",
+       " 'Jessica_Williams_SQLTasks Tier 2.sql',\n",
+       " 'Logistic Regression Advanced Case Study.ipynb',\n",
+       " 'meteorites final.ipynb',\n",
+       " 'meteorites.ipynb',\n",
+       " 'misc',\n",
+       " 'RandomForest_casestudy_covid19.ipynb',\n",
+       " 'README.md',\n",
+       " 'Springboard Decision Tree Specialty Coffee Case Study - Tier 3.ipynb',\n",
+       " 'Unit 11 - Python Statistics in EDA',\n",
+       " 'Unit 14 - Supervised Learning',\n",
+       " 'Unit 15 - Unsupervised Learning',\n",
+       " 'Unit 16 - Feature Engineering',\n",
+       " 'Unit 18 - Machine Learning Applications',\n",
+       " 'Unit 7 - Data Wrangling',\n",
+       " 'Unit 8 - SQL & Databases']"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import os\n",
+    "os.listdir()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-04-22T14:48:15.929012Z",
+     "start_time": "2019-04-22T14:48:15.926574Z"
+    },
+    "colab_type": "text",
+    "id": "AkBt3yds-KYu"
+   },
+   "source": [
+    "## How does Bayesian optimization work?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "E1kyBCUs-KYv"
+   },
+   "source": [
+    "Bayesian optimization works by constructing a posterior distribution of functions (Gaussian process) that best describes the function you want to optimize. As the number of observations grows, the posterior distribution improves, and the algorithm becomes more certain of which regions in parameter space are worth exploring and which are not, as seen in the picture below."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "gAdHF72R-KYw"
+   },
+   "source": [
+    "<img src=\"https://github.com/fmfn/BayesianOptimization/blob/master/examples/bo_example.png?raw=true\" />\n",
+    "As you iterate over and over, the algorithm balances its needs of exploration and exploitation while taking into account what it knows about the target function. At each step, a Gaussian Process is fitted to the known samples (points previously explored), and the posterior distribution, combined with an exploration strategy (such as UCB — aka Upper Confidence Bound), or EI (Expected Improvement). This process is used to determine the next point that should be explored (see the gif below).\n",
+    "<img src=\"https://github.com/fmfn/BayesianOptimization/raw/master/examples/bayesian_optimization.gif\" />"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "RTP8KUlLoYzu"
+   },
+   "source": [
+    "## Let's look at a simple example"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "crpPqKdC-KYx"
+   },
+   "source": [
+    "The first step is to create an optimizer. It uses two items:\n",
+    "* function to optimize\n",
+    "* bounds of parameters\n",
+    "\n",
+    "The function is the procedure that counts metrics of our model quality. The important thing is that our optimization will maximize the value on function. Smaller metrics are best. Hint: don't forget to use negative metric values."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "e09ciF8gpTfr"
+   },
+   "source": [
+    "Here we define our simple function we want to optimize."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "ofwvnfEwo5mG"
+   },
+   "outputs": [],
+   "source": [
+    "def simple_func(a, b):\n",
+    "    return a + b"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "XCGsdciCpeI3"
+   },
+   "source": [
+    "Now, we define our bounds of the parameters to optimize, within the Bayesian optimizer."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "4jLYW2qnpOFr"
+   },
+   "outputs": [],
+   "source": [
+    "optimizer = BayesianOptimization(\n",
+    "    simple_func,\n",
+    "    {'a': (1, 3),\n",
+    "    'b': (4, 7)})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "dg6LdYx8pq2T"
+   },
+   "source": [
+    "These are the main parameters of this function:\n",
+    "\n",
+    "* **n_iter:** This is how many steps of Bayesian optimization you want to perform. The more steps, the more likely you are to find a good maximum.\n",
+    "\n",
+    "* **init_points:** This is how many steps of random exploration you want to perform. Random exploration can help by diversifying the exploration space."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "i-GKMJ1uqMYv"
+   },
+   "source": [
+    "Let's run an example where we use the optimizer to find the best values to maximize the target value for a and b given the inputs of 3 and 2."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 153
+    },
+    "colab_type": "code",
+    "id": "Oy44Ro7wqNat",
+    "outputId": "9cc64d54-b1e6-46d1-dc29-4c0039a1c72d"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "|   iter    |  target   |     a     |     b     |\n",
+      "-------------------------------------------------\n",
+      "| \u001b[0m1        \u001b[0m | \u001b[0m8.862    \u001b[0m | \u001b[0m2.648    \u001b[0m | \u001b[0m6.214    \u001b[0m |\n",
+      "| \u001b[0m2        \u001b[0m | \u001b[0m7.409    \u001b[0m | \u001b[0m1.242    \u001b[0m | \u001b[0m6.167    \u001b[0m |\n",
+      "| \u001b[0m3        \u001b[0m | \u001b[0m7.458    \u001b[0m | \u001b[0m2.923    \u001b[0m | \u001b[0m4.535    \u001b[0m |\n",
+      "| \u001b[0m4        \u001b[0m | \u001b[0m8.843    \u001b[0m | \u001b[0m2.647    \u001b[0m | \u001b[0m6.196    \u001b[0m |\n",
+      "| \u001b[95m5        \u001b[0m | \u001b[95m10.0     \u001b[0m | \u001b[95m3.0      \u001b[0m | \u001b[95m7.0      \u001b[0m |\n",
+      "=================================================\n"
+     ]
+    }
+   ],
+   "source": [
+    "optimizer.maximize(3,2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "tyKFMF2Hq2Sx"
+   },
+   "source": [
+    "Great, now let's print the best parameters and the associated maximized target."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 51
+    },
+    "colab_type": "code",
+    "id": "_H6DixyfscV_",
+    "outputId": "fd0c35d7-e30d-4d30-9ab2-12c0fa837971"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'a': 3.0, 'b': 7.0}\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "10.0"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "print(optimizer.max['params']);optimizer.max['target']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "tQ1T1V6Mspi4"
+   },
+   "source": [
+    "## Test it on real data using the Light GBM"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "y_oGwREZkm4h"
+   },
+   "source": [
+    "The dataset we will be working with is the famous flight departures dataset. Our modeling goal will be to predict if a flight departure is going to be delayed by 15 minutes based on the other attributes in our dataset. As part of this modeling exercise, we will use Bayesian hyperparameter optimization to identify the best parameters for our model."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "abYSagjQANDZ"
+   },
+   "source": [
+    "**<font color='teal'> You can load the zipped csv files just as you would regular csv files using Pandas read_csv. In the next cell load the train and test data into two seperate dataframes. </font>**\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "EWKBApVuAeJe"
+   },
+   "outputs": [],
+   "source": [
+    "train_df = pd.read_csv('C:/Users/jwatki8/Downloads/Bayesian_Optimization_Case_Study/flight_delays_train.csv')\n",
+    "test_df = pd.read_csv('C:/Users/jwatki8/Downloads/Bayesian_Optimization_Case_Study/flight_delays_test.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "OapNcT9Eikis"
+   },
+   "source": [
+    "**<font color='teal'> Print the top five rows of the train dataframe and review the columns in the data. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 204
+    },
+    "colab_type": "code",
+    "id": "__4cXZ8iiYaC",
+    "outputId": "8718ad4b-8955-486c-9ae8-1dee6aa6c2fb"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Month</th>\n",
+       "      <th>DayofMonth</th>\n",
+       "      <th>DayOfWeek</th>\n",
+       "      <th>DepTime</th>\n",
+       "      <th>UniqueCarrier</th>\n",
+       "      <th>Origin</th>\n",
+       "      <th>Dest</th>\n",
+       "      <th>Distance</th>\n",
+       "      <th>dep_delayed_15min</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>c-8</td>\n",
+       "      <td>c-21</td>\n",
+       "      <td>c-7</td>\n",
+       "      <td>1934</td>\n",
+       "      <td>AA</td>\n",
+       "      <td>ATL</td>\n",
+       "      <td>DFW</td>\n",
+       "      <td>732</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>c-4</td>\n",
+       "      <td>c-20</td>\n",
+       "      <td>c-3</td>\n",
+       "      <td>1548</td>\n",
+       "      <td>US</td>\n",
+       "      <td>PIT</td>\n",
+       "      <td>MCO</td>\n",
+       "      <td>834</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>c-9</td>\n",
+       "      <td>c-2</td>\n",
+       "      <td>c-5</td>\n",
+       "      <td>1422</td>\n",
+       "      <td>XE</td>\n",
+       "      <td>RDU</td>\n",
+       "      <td>CLE</td>\n",
+       "      <td>416</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>c-11</td>\n",
+       "      <td>c-25</td>\n",
+       "      <td>c-6</td>\n",
+       "      <td>1015</td>\n",
+       "      <td>OO</td>\n",
+       "      <td>DEN</td>\n",
+       "      <td>MEM</td>\n",
+       "      <td>872</td>\n",
+       "      <td>N</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>c-10</td>\n",
+       "      <td>c-7</td>\n",
+       "      <td>c-6</td>\n",
+       "      <td>1828</td>\n",
+       "      <td>WN</td>\n",
+       "      <td>MDW</td>\n",
+       "      <td>OMA</td>\n",
+       "      <td>423</td>\n",
+       "      <td>Y</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Month DayofMonth DayOfWeek  DepTime UniqueCarrier Origin Dest  Distance  \\\n",
+       "0   c-8       c-21       c-7     1934            AA    ATL  DFW       732   \n",
+       "1   c-4       c-20       c-3     1548            US    PIT  MCO       834   \n",
+       "2   c-9        c-2       c-5     1422            XE    RDU  CLE       416   \n",
+       "3  c-11       c-25       c-6     1015            OO    DEN  MEM       872   \n",
+       "4  c-10        c-7       c-6     1828            WN    MDW  OMA       423   \n",
+       "\n",
+       "  dep_delayed_15min  \n",
+       "0                 N  \n",
+       "1                 N  \n",
+       "2                 N  \n",
+       "3                 N  \n",
+       "4                 Y  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "UxGBsPQhffgd"
+   },
+   "source": [
+    "**<font color='teal'> Use the describe function to review the numeric columns in the train dataframe. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 297
+    },
+    "colab_type": "code",
+    "id": "_bRRKG3DAtae",
+    "outputId": "7cfb9975-ec97-422c-abbd-98923a0b7aec"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>DepTime</th>\n",
+       "      <th>Distance</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>100000.000000</td>\n",
+       "      <td>100000.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1341.523880</td>\n",
+       "      <td>729.39716</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>476.378445</td>\n",
+       "      <td>574.61686</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>30.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>931.000000</td>\n",
+       "      <td>317.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>1330.000000</td>\n",
+       "      <td>575.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>1733.000000</td>\n",
+       "      <td>957.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>2534.000000</td>\n",
+       "      <td>4962.00000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             DepTime      Distance\n",
+       "count  100000.000000  100000.00000\n",
+       "mean     1341.523880     729.39716\n",
+       "std       476.378445     574.61686\n",
+       "min         1.000000      30.00000\n",
+       "25%       931.000000     317.00000\n",
+       "50%      1330.000000     575.00000\n",
+       "75%      1733.000000     957.00000\n",
+       "max      2534.000000    4962.00000"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_df.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "i6k-_fI5Aiyh"
+   },
+   "source": [
+    "Notice, `DepTime` is the departure time in a numeric representation in 2400 hours. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "gtZS4-hrlQah"
+   },
+   "source": [
+    " **<font color='teal'>The response variable is 'dep_delayed_15min' which is a categorical column, so we need to map the Y for yes and N for no values to 1 and 0. Run the code in the next cell to do this.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-04-22T15:38:42.677690Z",
+     "start_time": "2019-04-22T15:38:42.481963Z"
+    },
+    "colab": {},
+    "colab_type": "code",
+    "id": "yRlOTbnW-KYc"
+   },
+   "outputs": [],
+   "source": [
+    "#train_df = train_df[train_df.DepTime <= 2400].copy()\n",
+    "y_train = train_df['dep_delayed_15min'].map({'Y': 1, 'N': 0}).values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "z3WPkFQO9uo9"
+   },
+   "source": [
+    "## Feature Engineering\n",
+    "Use these defined functions to create additional features for the model. Run the cell to add the functions to your workspace."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "cXqsqz5W9t3r"
+   },
+   "outputs": [],
+   "source": [
+    "def label_enc(df_column):\n",
+    "    df_column = LabelEncoder().fit_transform(df_column)\n",
+    "    return df_column\n",
+    "\n",
+    "def make_harmonic_features_sin(value, period=2400):\n",
+    "    value *= 2 * np.pi / period \n",
+    "    return np.sin(value)\n",
+    "\n",
+    "def make_harmonic_features_cos(value, period=2400):\n",
+    "    value *= 2 * np.pi / period \n",
+    "    return np.cos(value)\n",
+    "\n",
+    "def feature_eng(df):\n",
+    "    df['flight'] = df['Origin']+df['Dest']\n",
+    "    df['Month'] = df.Month.map(lambda x: x.split('-')[-1]).astype('int32')\n",
+    "    df['DayofMonth'] = df.DayofMonth.map(lambda x: x.split('-')[-1]).astype('uint8')\n",
+    "    df['begin_of_month'] = (df['DayofMonth'] < 10).astype('uint8')\n",
+    "    df['midddle_of_month'] = ((df['DayofMonth'] >= 10)&(df['DayofMonth'] < 20)).astype('uint8')\n",
+    "    df['end_of_month'] = (df['DayofMonth'] >= 20).astype('uint8')\n",
+    "    df['DayOfWeek'] = df.DayOfWeek.map(lambda x: x.split('-')[-1]).astype('uint8')\n",
+    "    df['hour'] = df.DepTime.map(lambda x: x/100).astype('int32')\n",
+    "    df['morning'] = df['hour'].map(lambda x: 1 if (x <= 11)& (x >= 7) else 0).astype('uint8')\n",
+    "    df['day'] = df['hour'].map(lambda x: 1 if (x >= 12) & (x <= 18) else 0).astype('uint8')\n",
+    "    df['evening'] = df['hour'].map(lambda x: 1 if (x >= 19) & (x <= 23) else 0).astype('uint8')\n",
+    "    df['night'] = df['hour'].map(lambda x: 1 if (x >= 0) & (x <= 6) else 0).astype('int32')\n",
+    "    df['winter'] = df['Month'].map(lambda x: x in [12, 1, 2]).astype('int32')\n",
+    "    df['spring'] = df['Month'].map(lambda x: x in [3, 4, 5]).astype('int32')\n",
+    "    df['summer'] = df['Month'].map(lambda x: x in [6, 7, 8]).astype('int32')\n",
+    "    df['autumn'] = df['Month'].map(lambda x: x in [9, 10, 11]).astype('int32')\n",
+    "    df['holiday'] = (df['DayOfWeek'] >= 5).astype(int) \n",
+    "    df['weekday'] = (df['DayOfWeek'] < 5).astype(int)\n",
+    "    df['airport_dest_per_month'] = df.groupby(['Dest', 'Month'])['Dest'].transform('count')\n",
+    "    df['airport_origin_per_month'] = df.groupby(['Origin', 'Month'])['Origin'].transform('count')\n",
+    "    df['airport_dest_count'] = df.groupby(['Dest'])['Dest'].transform('count')\n",
+    "    df['airport_origin_count'] = df.groupby(['Origin'])['Origin'].transform('count')\n",
+    "    df['carrier_count'] = df.groupby(['UniqueCarrier'])['Dest'].transform('count')\n",
+    "    df['carrier_count_per month'] = df.groupby(['UniqueCarrier', 'Month'])['Dest'].transform('count')\n",
+    "    df['deptime_cos'] = df['DepTime'].map(make_harmonic_features_cos)\n",
+    "    df['deptime_sin'] = df['DepTime'].map(make_harmonic_features_sin)\n",
+    "    df['flightUC'] = df['flight']+df['UniqueCarrier']\n",
+    "    df['DestUC'] = df['Dest']+df['UniqueCarrier']\n",
+    "    df['OriginUC'] = df['Origin']+df['UniqueCarrier']\n",
+    "    return df.drop('DepTime', axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-BYbxXpU-FGE"
+   },
+   "source": [
+    "Concatenate the training and testing dataframes.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "Cj6bfSNw_RAf"
+   },
+   "outputs": [],
+   "source": [
+    "full_df = pd.concat([train_df.drop('dep_delayed_15min', axis=1), test_df])\n",
+    "full_df = feature_eng(full_df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "GSO8JbfM_W-F"
+   },
+   "source": [
+    "Apply the earlier defined feature engineering functions to the full dataframe."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "x6RfAINftjwi"
+   },
+   "outputs": [],
+   "source": [
+    "for column in ['UniqueCarrier', 'Origin', 'Dest','flight',  'flightUC', 'DestUC', 'OriginUC']:\n",
+    "    full_df[column] = label_enc(full_df[column])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "IJAw1RGB_ZuM"
+   },
+   "source": [
+    "\n",
+    "Split the new full dataframe into X_train and X_test. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "15cPtQU5tjfz"
+   },
+   "outputs": [],
+   "source": [
+    "X_train = full_df[:train_df.shape[0]]\n",
+    "X_test = full_df[train_df.shape[0]:]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "umfAw-9JErLV"
+   },
+   "source": [
+    "Create a list of the categorical features."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-04-22T14:31:58.412296Z",
+     "start_time": "2019-04-22T14:31:58.409088Z"
+    },
+    "colab": {},
+    "colab_type": "code",
+    "id": "5ibeVyNb-KZI"
+   },
+   "outputs": [],
+   "source": [
+    "categorical_features = ['Month',  'DayOfWeek', 'UniqueCarrier', 'Origin', 'Dest','flight',  'flightUC', 'DestUC', 'OriginUC']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "NzMIsMPIETVk"
+   },
+   "source": [
+    "Let's build a light GBM model to test the bayesian optimizer."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-04-22T15:18:04.466965Z",
+     "start_time": "2019-04-22T15:18:04.457992Z"
+    },
+    "colab_type": "text",
+    "id": "2hfm1i5G-KZH"
+   },
+   "source": [
+    "### [LightGBM](https://lightgbm.readthedocs.io/en/latest/) is a gradient boosting framework that uses tree-based learning algorithms. It is designed to be distributed and efficient with the following advantages:\n",
+    "\n",
+    "* Faster training speed and higher efficiency.\n",
+    "* Lower memory usage.\n",
+    "* Better accuracy.\n",
+    "* Support of parallel and GPU learning.\n",
+    "* Capable of handling large-scale data."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "jf-3F2Wg-KZL"
+   },
+   "source": [
+    "First, we define the function we want to maximize and that will count cross-validation metrics of lightGBM for our parameters.\n",
+    "\n",
+    "Some params such as num_leaves, max_depth, min_child_samples, min_data_in_leaf should be integers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-04-22T15:40:14.034265Z",
+     "start_time": "2019-04-22T15:40:14.027868Z"
+    },
+    "colab": {},
+    "colab_type": "code",
+    "id": "LyUJBhGX-KZM"
+   },
+   "outputs": [],
+   "source": [
+    "def lgb_eval(num_leaves,max_depth,lambda_l2,lambda_l1,min_child_samples, min_data_in_leaf):\n",
+    "    params = {\n",
+    "        \"objective\" : \"binary\",\n",
+    "        \"metric\" : \"auc\", \n",
+    "        'is_unbalance': True,\n",
+    "        \"num_leaves\" : int(num_leaves),\n",
+    "        \"max_depth\" : int(max_depth),\n",
+    "        \"lambda_l2\" : lambda_l2,\n",
+    "        \"lambda_l1\" : lambda_l1,\n",
+    "        \"num_threads\" : 20,\n",
+    "        \"min_child_samples\" : int(min_child_samples),\n",
+    "        'min_data_in_leaf': int(min_data_in_leaf),\n",
+    "        \"learning_rate\" : 0.03,\n",
+    "        \"subsample_freq\" : 5,\n",
+    "        \"bagging_seed\" : 42,\n",
+    "        \"verbosity\" : -1\n",
+    "    }\n",
+    "    lgtrain = lightgbm.Dataset(X_train, y_train,categorical_feature=categorical_features)\n",
+    "    cv_result = lightgbm.cv(params,\n",
+    "                       lgtrain,\n",
+    "                       1000,\n",
+    "                       early_stopping_rounds=100,\n",
+    "                       stratified=True,\n",
+    "                       nfold=3)\n",
+    "    return cv_result['auc-mean'][-1]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "FJwqBhdeF11Q"
+   },
+   "source": [
+    "Apply the Bayesian optimizer to the function we created in the previous step to identify the best hyperparameters. We will run 10 iterations and set init_points = 2.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-04-22T15:48:04.682447Z",
+     "start_time": "2019-04-22T15:40:14.641634Z"
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 51
+    },
+    "colab_type": "code",
+    "id": "JheCOkUE-KZP",
+    "outputId": "8f37ee51-885d-44e4-cdcd-ceb7abd58b61"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "|   iter    |  target   | lambda_l1 | lambda_l2 | max_depth | min_ch... | min_da... | num_le... |\n",
+      "-------------------------------------------------------------------------------------------------\n",
+      "[LightGBM] [Warning] min_data_in_leaf is set=1114, min_child_samples=8851 will be ignored. Current value: min_data_in_leaf=1114\n",
+      "| \u001b[0m1        \u001b[0m | \u001b[0m0.7396   \u001b[0m | \u001b[0m0.0376   \u001b[0m | \u001b[0m0.02414  \u001b[0m | \u001b[0m48.57    \u001b[0m | \u001b[0m8.852e+03\u001b[0m | \u001b[0m1.114e+03\u001b[0m | \u001b[0m1.418e+03\u001b[0m |\n",
+      "| \u001b[95m2        \u001b[0m | \u001b[95m0.7426   \u001b[0m | \u001b[95m0.04643  \u001b[0m | \u001b[95m0.04063  \u001b[0m | \u001b[95m21.31    \u001b[0m | \u001b[95m2.429e+03\u001b[0m | \u001b[95m1.19e+03 \u001b[0m | \u001b[95m3.88e+03 \u001b[0m |\n",
+      "| \u001b[95m3        \u001b[0m | \u001b[95m0.7434   \u001b[0m | \u001b[95m0.02636  \u001b[0m | \u001b[95m0.0412   \u001b[0m | \u001b[95m61.12    \u001b[0m | \u001b[95m5.721e+03\u001b[0m | \u001b[95m1.759e+03\u001b[0m | \u001b[95m1.102e+03\u001b[0m |\n",
+      "| \u001b[0m4        \u001b[0m | \u001b[0m0.7223   \u001b[0m | \u001b[0m0.03941  \u001b[0m | \u001b[0m0.006692 \u001b[0m | \u001b[0m36.16    \u001b[0m | \u001b[0m7.873e+03\u001b[0m | \u001b[0m142.3    \u001b[0m | \u001b[0m2.386e+03\u001b[0m |\n",
+      "| \u001b[0m5        \u001b[0m | \u001b[0m0.7433   \u001b[0m | \u001b[0m0.02251  \u001b[0m | \u001b[0m0.04832  \u001b[0m | \u001b[0m15.48    \u001b[0m | \u001b[0m6.844e+03\u001b[0m | \u001b[0m1.709e+03\u001b[0m | \u001b[0m37.62    \u001b[0m |\n",
+      "| \u001b[0m6        \u001b[0m | \u001b[0m0.7433   \u001b[0m | \u001b[0m0.01133  \u001b[0m | \u001b[0m0.01628  \u001b[0m | \u001b[0m55.78    \u001b[0m | \u001b[0m5.822e+03\u001b[0m | \u001b[0m1.557e+03\u001b[0m | \u001b[0m110.6    \u001b[0m |\n",
+      "| \u001b[0m7        \u001b[0m | \u001b[0m0.7427   \u001b[0m | \u001b[0m0.04447  \u001b[0m | \u001b[0m0.03112  \u001b[0m | \u001b[0m41.48    \u001b[0m | \u001b[0m5.616e+03\u001b[0m | \u001b[0m1.849e+03\u001b[0m | \u001b[0m1.113e+03\u001b[0m |\n",
+      "| \u001b[95m8        \u001b[0m | \u001b[95m0.7435   \u001b[0m | \u001b[95m0.03453  \u001b[0m | \u001b[95m0.01048  \u001b[0m | \u001b[95m45.59    \u001b[0m | \u001b[95m9.789e+03\u001b[0m | \u001b[95m1.949e+03\u001b[0m | \u001b[95m132.2    \u001b[0m |\n",
+      "| \u001b[0m9        \u001b[0m | \u001b[0m0.7197   \u001b[0m | \u001b[0m0.03135  \u001b[0m | \u001b[0m0.02093  \u001b[0m | \u001b[0m23.25    \u001b[0m | \u001b[0m2.833e+03\u001b[0m | \u001b[0m289.7    \u001b[0m | \u001b[0m460.4    \u001b[0m |\n",
+      "| \u001b[0m10       \u001b[0m | \u001b[0m0.743    \u001b[0m | \u001b[0m0.0266   \u001b[0m | \u001b[0m0.008876 \u001b[0m | \u001b[0m39.03    \u001b[0m | \u001b[0m56.61    \u001b[0m | \u001b[0m1.437e+03\u001b[0m | \u001b[0m3.916e+03\u001b[0m |\n",
+      "| \u001b[95m11       \u001b[0m | \u001b[95m0.7436   \u001b[0m | \u001b[95m0.006598 \u001b[0m | \u001b[95m0.02934  \u001b[0m | \u001b[95m32.22    \u001b[0m | \u001b[95m4.664e+03\u001b[0m | \u001b[95m1.985e+03\u001b[0m | \u001b[95m3.963e+03\u001b[0m |\n",
+      "| \u001b[0m12       \u001b[0m | \u001b[0m0.7173   \u001b[0m | \u001b[0m0.003704 \u001b[0m | \u001b[0m0.01458  \u001b[0m | \u001b[0m26.44    \u001b[0m | \u001b[0m9.85e+03 \u001b[0m | \u001b[0m162.8    \u001b[0m | \u001b[0m43.8     \u001b[0m |\n",
+      "=================================================================================================\n"
+     ]
+    }
+   ],
+   "source": [
+    "lgbBO = BayesianOptimization(lgb_eval, {'num_leaves': (25, 4000),\n",
+    "                                                'max_depth': (5, 63),\n",
+    "                                                'lambda_l2': (0.0, 0.05),\n",
+    "                                                'lambda_l1': (0.0, 0.05),\n",
+    "                                                'min_child_samples': (50, 10000),\n",
+    "                                                'min_data_in_leaf': (100, 2000)\n",
+    "                                                })\n",
+    "\n",
+    "lgbBO.maximize(n_iter=10, init_points=2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "rdkxhhST-KZS"
+   },
+   "source": [
+    " **<font color='teal'> Print the best result by using the '.max' function.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-04-22T15:49:01.513767Z",
+     "start_time": "2019-04-22T15:49:01.509392Z"
+    },
+    "colab": {},
+    "colab_type": "code",
+    "id": "oc8z6mfy-KZS"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'target': 0.7435984608715569,\n",
+       " 'params': {'lambda_l1': 0.006598206621174946,\n",
+       "  'lambda_l2': 0.02934042219579759,\n",
+       "  'max_depth': 32.223278345594345,\n",
+       "  'min_child_samples': 4663.55716144189,\n",
+       "  'min_data_in_leaf': 1985.3865014159348,\n",
+       "  'num_leaves': 3962.7601138694595}}"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lgbBO.max"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-04-22T15:50:29.049881Z",
+     "start_time": "2019-04-22T15:50:29.045908Z"
+    },
+    "colab_type": "text",
+    "id": "J5LAydKC-KZW"
+   },
+   "source": [
+    "Review the process at each step by using the '.res[0]' function."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2019-04-22T15:51:01.001688Z",
+     "start_time": "2019-04-22T15:51:00.997484Z"
+    },
+    "colab": {},
+    "colab_type": "code",
+    "id": "X1ttZmrI-KZX"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'target': 0.7396041412963869,\n",
+       " 'params': {'lambda_l1': 0.03759930485645532,\n",
+       "  'lambda_l2': 0.024135961944494036,\n",
+       "  'max_depth': 48.56541946244434,\n",
+       "  'min_child_samples': 8851.825417930817,\n",
+       "  'min_data_in_leaf': 1114.3447454138027,\n",
+       "  'num_leaves': 1418.1045534822722}}"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lgbBO.res[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "name": "Bayesian_optimization_exercise.ipynb",
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+   "display_name": "Python 3 (ipykernel)",
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diff --git a/Clustering Case Study - Customer Segmentation with K-Means - Tier 3 (1).ipynb b/Clustering Case Study - Customer Segmentation with K-Means - Tier 3 (1).ipynb
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+++ b/Clustering Case Study - Customer Segmentation with K-Means - Tier 3 (1).ipynb	
@@ -0,0 +1,1784 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "zxi-VF92ymXl"
+   },
+   "source": [
+    "# Clustering Case Study: Customer Segmentation with K-Means -  Tier 3\n",
+    "***\n",
+    "This case study is based on [this blog post](http://blog.yhat.com/posts/customer-segmentation-using-python.html) by the `yhat` blog. Please feel free to refer to the post for additional information, and solutions.\n",
+    "\n",
+    "Structure of the mini-project:\n",
+    "\n",
+    "1. **Sourcing and loading**\n",
+    "    * Load the data\n",
+    "    * Explore the data\n",
+    "\n",
+    "\n",
+    "2. **Cleaning, transforming and visualizing**\n",
+    "    * Data Wrangling: Exercise Set 1\n",
+    "        - Creating a matrix with a binary indicator for whether they responded to a given offer\n",
+    "        - Ensure that in doing so, NAN values are dealt with appropriately\n",
+    "    \n",
+    "\n",
+    "3. **Modelling** \n",
+    "    * K-Means clustering: Exercise Sets 2 and 3\n",
+    "        - Choosing K: The Elbow method\n",
+    "        - Choosing K: The Silhouette method\n",
+    "        - Choosing K: The Gap statistic method\n",
+    "    \n",
+    "    * Visualizing clusters with PCA: Exercise Sets 4 and 5\n",
+    "\n",
+    "\n",
+    "4. **Conclusions and next steps**\n",
+    "    * Conclusions\n",
+    "    * Other clustering algorithms (Exercise Set 6)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "eLGqKM7dymXn"
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import pandas as pd\n",
+    "import sklearn\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from sklearn.cluster import KMeans\n",
+    "# Setup Seaborn\n",
+    "sns.set_style(\"whitegrid\")\n",
+    "sns.set_context(\"poster\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-v84pqrpymXq"
+   },
+   "source": [
+    "## 1. Sourcing and loading\n",
+    "### 1a. Load the data\n",
+    "The dataset contains information on marketing newsletters/e-mail campaigns (e-mail offers sent to customers) and transaction level data from customers. The transactional data shows which offer customers responded to, and what the customer ended up buying. The data is presented as an Excel workbook containing two worksheets. Each worksheet contains a different dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "o6VegVF9ymXr"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\openpyxl\\worksheet\\_read_only.py:79: UserWarning: Unknown extension is not supported and will be removed\n",
+      "  for idx, row in parser.parse():\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_offers = pd.read_excel(\"C:/Users/jwatki8/Downloads/Clustering Case Study/WineKMC.xlsx\", sheet_name=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "4ed8ZPwPymXu"
+   },
+   "source": [
+    "### 1b. Explore the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "nyFOb6oEymXv"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>offer_id</th>\n",
+       "      <th>campaign</th>\n",
+       "      <th>varietal</th>\n",
+       "      <th>min_qty</th>\n",
+       "      <th>discount</th>\n",
+       "      <th>origin</th>\n",
+       "      <th>past_peak</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>January</td>\n",
+       "      <td>Malbec</td>\n",
+       "      <td>72</td>\n",
+       "      <td>56</td>\n",
+       "      <td>France</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>January</td>\n",
+       "      <td>Pinot Noir</td>\n",
+       "      <td>72</td>\n",
+       "      <td>17</td>\n",
+       "      <td>France</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>February</td>\n",
+       "      <td>Espumante</td>\n",
+       "      <td>144</td>\n",
+       "      <td>32</td>\n",
+       "      <td>Oregon</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>February</td>\n",
+       "      <td>Champagne</td>\n",
+       "      <td>72</td>\n",
+       "      <td>48</td>\n",
+       "      <td>France</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>February</td>\n",
+       "      <td>Cabernet Sauvignon</td>\n",
+       "      <td>144</td>\n",
+       "      <td>44</td>\n",
+       "      <td>New Zealand</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   offer_id  campaign            varietal  min_qty  discount       origin  \\\n",
+       "0         1   January              Malbec       72        56       France   \n",
+       "1         2   January          Pinot Noir       72        17       France   \n",
+       "2         3  February           Espumante      144        32       Oregon   \n",
+       "3         4  February           Champagne       72        48       France   \n",
+       "4         5  February  Cabernet Sauvignon      144        44  New Zealand   \n",
+       "\n",
+       "   past_peak  \n",
+       "0      False  \n",
+       "1      False  \n",
+       "2       True  \n",
+       "3       True  \n",
+       "4       True  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_offers.columns = [\"offer_id\", \"campaign\", \"varietal\", \"min_qty\", \"discount\", \"origin\", \"past_peak\"]\n",
+    "df_offers.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "1OsRt52wymXx"
+   },
+   "source": [
+    "We see that the first dataset contains information about each offer such as the month it is in effect and several attributes about the wine that the offer refers to: the variety, minimum quantity, discount, country of origin and whether or not it is past peak. The second dataset in the second worksheet contains transactional data -- which offer each customer responded to."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "IkYD9ZVOymXy"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\openpyxl\\worksheet\\_read_only.py:79: UserWarning: Unknown extension is not supported and will be removed\n",
+      "  for idx, row in parser.parse():\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer_name</th>\n",
+       "      <th>offer_id</th>\n",
+       "      <th>n</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Smith</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Smith</td>\n",
+       "      <td>24</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Johnson</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Johnson</td>\n",
+       "      <td>24</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Johnson</td>\n",
+       "      <td>26</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  customer_name  offer_id  n\n",
+       "0         Smith         2  1\n",
+       "1         Smith        24  1\n",
+       "2       Johnson        17  1\n",
+       "3       Johnson        24  1\n",
+       "4       Johnson        26  1"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_transactions = pd.read_excel(\"C:/Users/jwatki8/Downloads/Clustering Case Study/WineKMC.xlsx\", sheet_name=1)\n",
+    "df_transactions.columns = [\"customer_name\", \"offer_id\"]\n",
+    "df_transactions['n'] = 1\n",
+    "df_transactions.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Gm55bMGlymX2"
+   },
+   "source": [
+    "## 2. Cleaning, transforming and visualizing\n",
+    "### 2a. Data Wrangling"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "OQ5kUMJOymX3"
+   },
+   "source": [
+    "We're trying to learn more about how our customers behave, so we can use their behavior (whether or not they purchased something based on an offer) as a way to group similar minded customers together. We can then study those groups to look for patterns and trends which can help us formulate future offers.\n",
+    "\n",
+    "The first thing we need is a way to compare customers. To do this, we're going to create a matrix that contains each customer and a 0/1 indicator for whether or not they responded to a given offer. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "ogzDotBpymX3"
+   },
+   "source": [
+    "<div class=\"span5 alert alert-info\">\n",
+    "<h3>Checkup Exercise Set I</h3>\n",
+    "\n",
+    "<p><b>Exercise:</b> Create a data frame where each row has the following columns (Use the pandas [`merge`](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.merge.html) and [`pivot_table`](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.pivot_table.html) functions for this purpose):\n",
+    "<ul>\n",
+    "<li> customer_name\n",
+    "<li> One column for each offer, with a 1 if the customer responded to the offer\n",
+    "</ul>\n",
+    "<p>Make sure you also deal with any weird values such as `NaN`. Read the documentation to develop your solution.</p>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "IqC9L98ZymX4",
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "#your turn\n",
+    "merge_df=pd.merge(df_transactions, df_offers)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "merge_df2=pd.pivot_table(merge_df, index='customer_name', columns='offer_id',values='n', fill_value=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>offer_id</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>10</th>\n",
+       "      <th>...</th>\n",
+       "      <th>23</th>\n",
+       "      <th>24</th>\n",
+       "      <th>25</th>\n",
+       "      <th>26</th>\n",
+       "      <th>27</th>\n",
+       "      <th>28</th>\n",
+       "      <th>29</th>\n",
+       "      <th>30</th>\n",
+       "      <th>31</th>\n",
+       "      <th>32</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>customer_name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Adams</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Allen</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Anderson</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bailey</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Baker</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 32 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "offer_id       1   2   3   4   5   6   7   8   9   10  ...  23  24  25  26  \\\n",
+       "customer_name                                          ...                   \n",
+       "Adams           0   0   0   0   0   0   0   0   0   0  ...   0   0   0   0   \n",
+       "Allen           0   0   0   0   0   0   0   0   1   0  ...   0   0   0   0   \n",
+       "Anderson        0   0   0   0   0   0   0   0   0   0  ...   0   1   0   1   \n",
+       "Bailey          0   0   0   0   0   0   1   0   0   0  ...   0   0   0   0   \n",
+       "Baker           0   0   0   0   0   0   1   0   0   1  ...   0   0   0   0   \n",
+       "\n",
+       "offer_id       27  28  29  30  31  32  \n",
+       "customer_name                          \n",
+       "Adams           0   0   1   1   0   0  \n",
+       "Allen           1   0   0   0   0   0  \n",
+       "Anderson        0   0   0   0   0   0  \n",
+       "Bailey          0   0   0   1   0   0  \n",
+       "Baker           0   0   0   0   1   0  \n",
+       "\n",
+       "[5 rows x 32 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "merge_df2.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "_XELvcC-ymX7"
+   },
+   "source": [
+    "## 3. Modelling \n",
+    "### 3a. K-Means Clustering\n",
+    "\n",
+    "Recall that in K-Means Clustering we want to *maximize* the distance between centroids and *minimize* the distance between data points and the respective centroid for the cluster they are in. True evaluation for unsupervised learning would require labeled data; however, we can use a variety of intuitive metrics to try to pick the number of clusters K. We will introduce two methods: the Elbow method, the Silhouette method and the gap statistic."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "B7lnwb9HymX8"
+   },
+   "source": [
+    "#### 3ai. Choosing K: The Elbow Sum-of-Squares Method\n",
+    "\n",
+    "The first method looks at the sum-of-squares error in each cluster against $K$. We compute the distance from each data point to the center of the cluster (centroid) to which the data point was assigned. \n",
+    "\n",
+    "$$SS = \\sum_k \\sum_{x_i \\in C_k} \\sum_{x_j \\in C_k} \\left( x_i - x_j \\right)^2 = \\sum_k \\sum_{x_i \\in C_k} \\left( x_i - \\mu_k \\right)^2$$\n",
+    "\n",
+    "where $x_i$ is a point, $C_k$ represents cluster $k$ and $\\mu_k$ is the centroid for cluster $k$. We can plot SS vs. $K$ and choose the *elbow point* in the plot as the best value for $K$. The elbow point is the point at which the plot starts descending much more slowly. \n",
+    "\n",
+    "**Hint:** the Elbow Method is discussed in part 2 of the Harvard Clustering lecture. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "o5T4iBfqymX-"
+   },
+   "source": [
+    "<div class=\"span5 alert alert-info\">\n",
+    "<h3>Checkup Exercise Set II</h3>\n",
+    "\n",
+    "<p><b>Exercise:</b></p> \n",
+    "<ul>\n",
+    "<li> What values of $SS$ do you believe represent better clusterings? Why?\n",
+    "<li> Create a numpy matrix `x_cols` with only the columns representing the offers (i.e. the 0/1 colums) \n",
+    "<li> Write code that applies the [`KMeans`](http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html) clustering method from scikit-learn to this matrix. \n",
+    "<li> Construct a plot showing $SS$ for each $K$ and pick $K$ using this plot. For simplicity, test $2 \\le K \\le 10$.\n",
+    "<li> Make a bar chart showing the number of points in each cluster for k-means under the best $K$.\n",
+    "<li> What challenges did you experience using the Elbow method to pick $K$?\n",
+    "</ul>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[ 1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24\n",
+      " 25 26 27 28 29 30 31 32]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(merge_df2.columns.values)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "mG_tbcIdymX-"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Sum of Squares')"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# your turn\n",
+    "import sklearn.cluster\n",
+    "import numpy as np\n",
+    "\n",
+    "#Create a numpy matrix `x_cols` with only the columns representing the offers (i.e. the 0/1 colums)\n",
+    "ss = []\n",
+    "assignments = {}\n",
+    " \n",
+    "X = merge_df2.to_numpy()\n",
+    "\n",
+    "# Write code that applies the [`KMeans`](http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html) \n",
+    "#clustering method from scikit-learn to this matrix.\n",
+    "Krange  = list(range(2, 11))\n",
+    "\n",
+    "for K in Krange:\n",
+    "    # Make a variable called model, and assign it the result of calling sklearn.cluster.KMeans, with n_clusters = K \n",
+    "    model = sklearn.cluster.KMeans(n_clusters=K)\n",
+    "    assigned_cluster = model.fit_predict(X)\n",
+    "    centers = model.cluster_centers_\n",
+    "    ss.append(np.sum((X - centers[assigned_cluster]) ** 2))\n",
+    "    assignments[str(K)] = assigned_cluster\n",
+    "    \n",
+    "# Construct a plot showing 𝑆𝑆 for each 𝐾 and pick 𝐾 using this plot. For simplicity, test 2≤𝐾≤10.\n",
+    "plt.plot(Krange, ss)\n",
+    "plt.xlabel(\"$K$\")\n",
+    "plt.ylabel(\"Sum of Squares\")\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What values of  𝑆𝑆 do you believe represent better clusterings? Why?\n",
+    "A:It seems that the K value of 4 is the best because it sits in the elbow of the plot."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Make a bar chart showing the number of points in each cluster for k-means under the best  𝐾.\n",
+    "\n",
+    "kmeans = KMeans(n_clusters=4).fit(X)\n",
+    "kmeans.fit(X)\n",
+    "labels = kmeans.labels_\n",
+    "labels,counts = np.unique(labels, return_counts=True)\n",
+    "plt.bar(labels,counts)\n",
+    "plt.xlabel('cluster')\n",
+    "plt.title('Bar Plot of K=4 Clusters')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What challenges did you experience using the Elbow method to pick  𝐾?\n",
+    "A: The line plot did not display a very clear elbow and this made it more difficult to decide which K was best."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "OM08MgqiymYB"
+   },
+   "source": [
+    "#### 3aii. Choosing K: The Silhouette Method\n",
+    "\n",
+    "There exists another method that measures how well each datapoint $x_i$ \"fits\" its assigned cluster *and also* how poorly it fits into other clusters. This is a different way of looking at the same objective. Denote $a_{x_i}$ as the *average* distance from $x_i$ to all other points within its own cluster $k$. The lower the value, the better. On the other hand $b_{x_i}$ is the minimum average distance from $x_i$ to points in a different cluster, minimized over clusters. That is, compute separately for each cluster the average distance from $x_i$ to the points within that cluster, and then take the minimum. The silhouette $s(x_i)$ is defined as\n",
+    "\n",
+    "$$s(x_i) = \\frac{b_{x_i} - a_{x_i}}{\\max{\\left( a_{x_i}, b_{x_i}\\right)}}$$\n",
+    "\n",
+    "The silhouette score is computed on *every datapoint in every cluster*. The silhouette score ranges from -1 (a poor clustering) to +1 (a very dense clustering) with 0 denoting the situation where clusters overlap. Some criteria for the silhouette coefficient is provided in the table below."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Prh3gX9NymYC"
+   },
+   "source": [
+    "<pre>\n",
+    "\n",
+    "| Range       | Interpretation                                |\n",
+    "|-------------|-----------------------------------------------|\n",
+    "| 0.71 - 1.0  | A strong structure has been found.            |\n",
+    "| 0.51 - 0.7  | A reasonable structure has been found.        |\n",
+    "| 0.26 - 0.5  | The structure is weak and could be artificial.|\n",
+    "| < 0.25      | No substantial structure has been found.      |\n",
+    "\n",
+    "</pre>\n",
+    "Source: http://www.stat.berkeley.edu/~spector/s133/Clus.html"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "LFdwQkQGymYC"
+   },
+   "source": [
+    "**Hint**: Scikit-learn provides a function to compute this for us (phew!) called [`sklearn.metrics.silhouette_score`](http://scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html). Take a look at [this article](http://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html) on picking $K$ in scikit-learn, as it will help you in the next exercise set."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "WQ1xRm9fymYD"
+   },
+   "source": [
+    "<div class=\"span5 alert alert-info\">\n",
+    "<h3>Checkup Exercise Set III</h3>\n",
+    "\n",
+    "<p><b>Exercise:</b> Using the documentation for the `silhouette_score` function above, construct a series of silhouette plots like the ones in the article linked above.</p>\n",
+    "\n",
+    "<p><b>Exercise:</b> Compute the average silhouette score for each $K$ and plot it. What $K$ does the plot suggest we should choose? Does it differ from what we found using the Elbow method?</p>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "IZXVFtvXymYE"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 900x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Your turn.\n",
+    "from sklearn.datasets import make_blobs\n",
+    "from sklearn.metrics import silhouette_samples, silhouette_score\n",
+    "import matplotlib.cm as cm\n",
+    "\n",
+    "\n",
+    "# Using the documentation for the `silhouette_score` function above, \n",
+    "#construct a series of silhouette plots like the ones in the article linked above.\n",
+    "avg_silhouette_scores = []\n",
+    "\n",
+    "for K in Krange:\n",
+    "    fig, ax1 = plt.subplots(1, 1)\n",
+    "    fig.set_size_inches(9, 5)\n",
+    "\n",
+    "    # The 1st subplot is the silhouette plot\n",
+    "    ax1.set_xlim([-0.25, 1])\n",
+    "    ax1.set_ylim([0, len(X) + (K + 1) * 10])\n",
+    "\n",
+    "    clusterer = sklearn.cluster.KMeans(n_clusters=K, random_state=10)\n",
+    "    cluster_labels = clusterer.fit_predict(X)\n",
+    "\n",
+    "    # The silhouette_score gives the average value for all the samples.\n",
+    "   \n",
+    "    silhouette_avg  = sklearn.metrics.silhouette_score(X, cluster_labels)\n",
+    "    avg_silhouette_scores.append(silhouette_avg)\n",
+    "    \n",
+    "    sample_silhouette_values = sklearn.metrics.silhouette_samples(X, cluster_labels)\n",
+    "\n",
+    "    y_lower = 10\n",
+    "    for i in range(K):\n",
+    "        ith_cluster_silhouette_values = \\\n",
+    "        sample_silhouette_values[cluster_labels == i]\n",
+    " \n",
+    "        ith_cluster_silhouette_values.sort()\n",
+    "     \n",
+    "        size_cluster_i = ith_cluster_silhouette_values.shape[0] \n",
+    "        y_upper = y_lower + size_cluster_i\n",
+    "\n",
+    "        cmap = cm.get_cmap(\"Spectral\")\n",
+    "        color = cmap(float(i) / K)\n",
+    "        ax1.fill_betweenx(np.arange(y_lower, y_upper),\n",
+    "                          0, ith_cluster_silhouette_values,\n",
+    "                          facecolor=color, edgecolor=color, alpha=0.7)\n",
+    " \n",
+    "        ax1.text(-0.05, y_lower + 0.5 * size_cluster_i, str(i))\n",
+    "        y_lower = y_upper + 10  # 10 for the 0 samples\n",
+    " \n",
+    "    ax1.set_title(\"The silhouette plot for the various clusters.\")\n",
+    "    ax1.set_xlabel(\"The silhouette coefficient values\")\n",
+    "    ax1.set_ylabel(\"Cluster label\")\n",
+    "    ax1.axvline(x=silhouette_avg, color=\"red\", linestyle=\"--\")\n",
+    "    ax1.set_yticks([])  # Clear the yaxis labels / ticks\n",
+    "    ax1.set_xticks([-0.1, 0, 0.2, 0.4, 0.6, 0.8, 1])\n",
+    "    plt.suptitle((\"Silhouette analysis for KMeans clustering on sample data \"\n",
+    "                  \"with n_clusters = %d\" % K),\n",
+    "                 fontsize=14, fontweight='bold')\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Compute the average silhouette score for each  𝐾 and plot it. What  𝐾 does the plot suggest we should choose? Does it differ from what we found using the Elbow method?\n",
+    "A: It looks like a K of 5 would be best according to the average silhouette score plot. It has the highest average and the score continues to go down for each K after. This is higher then what we found using the elbow method."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Average Silhouette Score')"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(Krange, avg_silhouette_scores)\n",
+    "plt.xlabel(\"$K$\")\n",
+    "plt.ylabel(\"Average Silhouette Score\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Rol4xvqzymYH"
+   },
+   "source": [
+    "#### 3aiii.  Choosing $K$: The Gap Statistic\n",
+    "\n",
+    "There is one last method worth covering for picking $K$, the so-called Gap statistic. The computation for the gap statistic builds on the sum-of-squares established in the Elbow method discussion, and compares it to the sum-of-squares of a \"null distribution,\" that is, a random set of points with no clustering. The estimate for the optimal number of clusters $K$ is the value for which $\\log{SS}$ falls the farthest below that of the reference distribution:\n",
+    "\n",
+    "$$G_k = E_n^*\\{\\log SS_k\\} - \\log SS_k$$\n",
+    "\n",
+    "In other words a good clustering yields a much larger difference between the reference distribution and the clustered data. The reference distribution is a Monte Carlo (randomization) procedure that constructs $B$ random distributions of points within the bounding box (limits) of the original data and then applies K-means to this synthetic distribution of data points.. $E_n^*\\{\\log SS_k\\}$ is just the average $SS_k$ over all $B$ replicates. We then compute the standard deviation $\\sigma_{SS}$ of the values of $SS_k$ computed from the $B$ replicates of the reference distribution and compute\n",
+    "\n",
+    "$$s_k = \\sqrt{1+1/B}\\sigma_{SS}$$\n",
+    "\n",
+    "Finally, we choose $K=k$ such that $G_k \\geq G_{k+1} - s_{k+1}$."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "_e6PSKcVymYI"
+   },
+   "source": [
+    "#### Aside: Choosing $K$ when we Have Labels\n",
+    "\n",
+    "Unsupervised learning expects that we do not have the labels. In some situations, we may wish to cluster data that is labeled. Computing the optimal number of clusters is much easier if we have access to labels. There are several methods available. We will not go into the math or details since it is rare to have access to the labels, but we provide the names and references of these measures.\n",
+    "\n",
+    "* Adjusted Rand Index\n",
+    "* Mutual Information\n",
+    "* V-Measure\n",
+    "* Fowlkes–Mallows index\n",
+    "\n",
+    "**Hint:** See [this article](http://scikit-learn.org/stable/modules/clustering.html) for more information about these metrics."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "eHsqcXTIymYI"
+   },
+   "source": [
+    "### 3b. Visualizing Clusters using PCA\n",
+    "\n",
+    "How do we visualize clusters? If we only had two features, we could likely plot the data as is. But we have 100 data points each containing 32 features (dimensions). Principal Component Analysis (PCA) will help us reduce the dimensionality of our data from 32 to something lower. For a visualization on the coordinate plane, we will use 2 dimensions. In this exercise, we're going to use it to transform our multi-dimensional dataset into a 2 dimensional dataset.\n",
+    "\n",
+    "This is only one use of PCA for dimension reduction. We can also use PCA when we want to perform regression but we have a set of highly correlated variables. PCA untangles these correlations into a smaller number of features/predictors all of which are orthogonal (not correlated). PCA is also used to reduce a large set of variables into a much smaller one.\n",
+    "\n",
+    "**Hint:** PCA was discussed in the previous subunit. If you need help with it, consult [this useful article](https://towardsdatascience.com/a-one-stop-shop-for-principal-component-analysis-5582fb7e0a9c) and [this visual explanation](http://setosa.io/ev/principal-component-analysis/). "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "O2A8l0xOymYJ"
+   },
+   "source": [
+    "<div class=\"span5 alert alert-info\">\n",
+    "<h3>Checkup Exercise Set IV</h3>\n",
+    "\n",
+    "<p><b>Exercise:</b> Use PCA to plot your clusters:</p>\n",
+    "\n",
+    "<ul>\n",
+    "<li> Use scikit-learn's [`PCA`](http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html) function to reduce the dimensionality of your clustering data to 2 components\n",
+    "<li> Create a data frame with the following fields:\n",
+    "  <ul>\n",
+    "  <li> customer name\n",
+    "  <li> cluster id the customer belongs to\n",
+    "  <li> the two PCA components (label them `x` and `y`)\n",
+    "  </ul>\n",
+    "<li> Plot a scatterplot of the `x` vs `y` columns\n",
+    "<li> Color-code points differently based on cluster ID\n",
+    "<li> How do the clusters look? \n",
+    "<li> Based on what you see, what seems to be the best value for $K$? Moreover, which method of choosing $K$ seems to have produced the optimal result visually?\n",
+    "</ul>\n",
+    "\n",
+    "<p><b>Exercise:</b> Now look at both the original raw data about the offers and transactions and look at the fitted clusters. Tell a story about the clusters in context of the original data. For example, do the clusters correspond to wine variants or something else interesting?</p>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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pta4777yzVIlqz549q6YGgop/31SU9evXc+bMGcA5BPnFF18U6Jk8cuQIDz30EGazmd9//519+/apw5aevAZdZsyYoQZ5rVu35sMPPyxw0ZmcnMzTTz/N3r17OX36NG+88UaxCay3bdtGVFQUr732Gt27dyc9PZ1ffvlFDcJKcvWK2F9//RVwzs+7+r4jR46ogd7o0aMLTcXjPj/v6ikT7nJzc/n000/57bff+Oyzz4iOjvaovdcasRhDEDxw4cIFxo0bpw6VRkdHM3jw4Hxl3OfsVfSckqVLl6qTzgcPHlyg93DAgAHq/MBDhw6VOfHotGnTCnyRZ2Zmsm7dOqZOncrAgQPp1q0bEydO5LvvvuPKlSsl1vnFF1+oj+HBBx9k4sSJBR5HZGQks2fPVoO31atXq6s9L126lC/YffXVVwvtYfTz8+PVV19Vg9D4+HgyMzO9fAY8oyhKvvlIH330UYEgD5xzKl9++WVuvfVWwPn6KmwYzt2///1vxo4dS2hoKBEREdx3333ExsZ63LazZ8+q59Dr9Xz22WeFTpSPjY1l/vz5ag/LX3/9VWGrWd1fJ3q9vkzDmVXp8OHD6u2HHnqo0OHntm3b8sgjjwDORQhHjhzx+jxJSUl89913gLOn68svvyw0d1x0dDRz585VVy2vWrWK8+fPF1v3rFmz6Nu3LwEBATRo0KDU6UxkWVY/bwpbLeu6ONBoNEUusnDv0QNn8Pzpp5+ya9cujhw5wurVqxk3bpz6PB8/fpyJEycWmpheEIGecI27cuUKX375ZaH/ffLJJ7zzzjuMHj2aO+64Q00Oq9Vqee+99wp8mLvm5wGEhYVVWJtlWc4XFBTWqxQYGMjtt9+u/rxw4cIyndPPz4+vv/6aV199tciUF5mZmWzYsIHXX3+d3r17869//avArgkuVqtVHYrU6XRMmDChyHM3aNCAgQMHqluOuYI0g8HAf//7Xx555BGeeOKJYld+RkZG5hvydU8NUp4OHjzI6dOnAedwbUm9XO6Pe9WqVUWWkySp2ATdnli3bp26KGbgwIHFpqwIDg7OlxfPfZpAeXJ/z7gPT9Y07hcohe3o4TJmzBh+/vlnDh8+XKpAavny5WoS4vvvv7/YwDgwMFBdJCPLMmvWrCmybOvWrYtc/eot12IqKDzQc30mxMXFFZng2j3Qe+SRR/jmm2+49dZbCQ8Px8fHhxYtWvD000/z1VdfqZ/DR44c4dtvvy2Xx1DbiKFb4Zp26dIl3nvvPY/LR0VFMX369ELnBLmvUKzIK8sdO3aoPSHt2rUrdIECOANAV0C4atUqnn32WY8WURRFkiRGjRrF8OHD2bFjB5s3b2bnzp1cuHChQFlFUdi2bRs7d+7kmWeeUXsyXA4ePKh+yd9www0lTqIvbNgpJiaGBx54wKO2nz17Nt8m8e7DheXJ1cMInuX+at26NQaDAavVypEjR7Db7YX2SjZt2lSdr1Va7ul63C8CinLHHXfwyiuvoCgKf/75J7m5uV6tIveEe4BUk3eE6NKlC1999RXg7KlOSEhg8ODBdOvWLd/csZCQkBIXRhTH/fXlScqR9u3bq7ddw70llSsr9wVYhbXRFegV9/744YcfuHTpEsnJyfTt27fIKSEdO3Zk8uTJ/O9//wPgq6++KvBZI4hATxCKZDAYCAwMJCoqiuuvv56bbrqJ/v37F9lzFBwcrG555koGWhHce1fcc4hdrVu3bsTGxpKQkIDZbGb16tVl7hUCZw/cLbfcwi233AI4h5P27dvH3r172blzpzrHCJz5tKZNm0ZYWFi+troP2TVr1qzMbQJncBkfH8/Fixe5dOkSFy5c4PTp0xw7dkxdjOFetiK45mkBfPvtt171MOTl5ZGenl7oPKPy2NzetbMJOBNflyQoKIj69etz6dIl7HY7V65coUmTJmVux9XncMnMzMThcJRqEVNV69Onj5oaCZyLEX766Sf0ej0dO3akZ8+e3HrrrbRo0aJM53F/ff373//26tjLly8XeV95vL5cXL1xsbGxBUY2rFar+hhcC5kKExYW5vGoyIgRI5g5cyYOh4OkpCTOnDlTbp8ptYUI9IRr2tW5m8qiYcOGaqDnvsdteTIajWzcuFH9eerUqUydOtWjYxctWlQugd7VYmJiGDhwoJpM+tSpU8ybN48VK1aoAdXMmTO566671CDZfb/YsvZUXbp0ic8//5yff/652Ll3Go2mxHx+ZVXWuX+ZmZmFBnruAVFpuedD9LRXKTQ0VA3cK2JeY6NGjdTbiqKQlpZWIyfUazQaPv74Y958801Wrlypvu5tNht79uxhz549zJgxg0aNGjFs2DDGjBlTqlWiZfkbFHdsWd+DX375pXrbNSVDr9fn+z0406a4em5Pnz6d7/66dety5513en3uoKAg4uLi1B2CLl26JAK9q4hATxDKyfXXX6+miihumKQ4JpOJ3377jW7duhEREVHg/tWrV5d6WPjEiRMcPHiw3ObiFKVFixa8++679OjRg2eeeQZw9vrt2rVL7QUsr6HTX3/9laeffrpArjo/Pz8aN25Mq1at6NChAz179uTBBx8sNIVEeXIfHr7jjju83hqssL85UC55/0rTi+keGFfEHrINGjQgJCREDUJ+//33Uu3PfPjwYSwWC+3bty/TLh3FKen5CwoKYtq0aUycOJG1a9eyefNm/vjjj3zP4YULF5g5cyaLFy/mm2++8bonzf19M27cOK/mNRaXn7CsvaiFTX85f/58sdNifvzxx3w/d+3atVSBHuQPVF0L5oR/iEBPEMpJjx491N7Bffv2YbVavf7S2b59O0899RSSJHHdddexZMmSfF/y7sO2vXr18ihB7O+//87FixcBZ6+eN4He2rVrmT9/Pmlpadx+++1e7bJx9913s3TpUnULtfPnz6uBnnsPVXZ2tsd1ujt37hzPPPOMGuR17dqV4cOH065dO+rXr18gMPFmV4/Scv/C6dChA2PHjq3wc3oqODiYlJQUwNm750mPkvsUhPLoVbyaRqOhe/fuauqbHTt2lCrQ+/jjj9myZQu+vr489thjXu+uASUHcldfTBSlYcOGTJgwgQkTJpCVlaVOadi8ebM6fJqQkMB//vMfrxcPhISEqKMFAwYMqNVbg8myjMVi8WheqPviqrL2TtZGItAThHLSs2dPwsLCyMjIwGw2s2HDBq+vUF2BnKIoREZG5gvyjh8/ruaX8vf356OPPvLoy9p966affvqJF154weOeALPZzB9//AHg0d67V2vZsqUa6LlPtm/QoIF6++qdBAqzbds21q1bpyZEbtu2LV999ZWaQ+/WW2/lk08+KbLXyW63k5WVpf5cUXP03B+Xa/VtSdLT0yslrUhcXJwa6J04cULdE7komZmZamCi0Wi8SuXijbvvvlsN9H799VdefPFFr4Y1k5KS1NyGeXl5Xu3k4c0CKtdz543g4GD69etHv379eOWVV/juu+944403AOfF4OXLl0v8O7hr0KCBGuidPn26xEDParVitVrLtAjLE64coqtXr1Z78Xfu3Fmgh3ro0KEcO3aMgQMHMmPGjELrWrNmDW+//TZGo5Hu3bszb968Ys9ttVrzpY4panHatUykVxGEcqLX6xk1apT68wcffJAvfURJ9u7dm2/3g6vn07n35vXt29fjL8M77rhDLWuxWIpNQHo19zxrJ06cUDcj95T7ilz3HRPat2+vfskeOXKkxLlHv/zyC8uWLeOjjz5SAyj33GX3339/sUOLv//+e75hr9LO1Stp+NJ9L92tW7eWuJL0jz/+4MYbb6RDhw7cc889FbYaGPL/LV2BVXHcy1x33XUVttVU79691VxwRqNR3b7PUx988IH6PMfExOTbI7Yk7r1F7vNGC+O64Lmaw+Hg+eefZ9iwYfTo0aPIgFGSJB588MFi98suifvra8OGDSWWX7BgAZ06daJbt268+uqrXp2rNFwrbuvWrVsgyLNarep7t7iFGHXq1CEtLQ2Hw8Hvv/9e4lDsr7/+qj7njRo1KteFJbWFCPQEoRw9/PDD6mTyCxcuMGXKFI/m1F26dIlnn31W7Wnq2LFjvs3PXZulu9x9990et8nf3z/fVkY//PCDx8c2adKErl27qj+/+OKL6gb0JTlw4ABbt24FnHns3FPSBAYG0rt3b8D52Iq7ak9PT+enn34CnMG0a0cS9+e1uFXOdrud6dOnF/jd1dznKRUVCLr3ALnPx3O58cYbqVOnDuDsAbp6Mro7RVHUXg2z2Uz9+vUrdA/eIUOGqIHq2rVri8xxCM7h9I8//lj9ubRzpzyh0+nUXiCAzz//3OMEzYsXL2bZsmXqz5MnT/Zqr1zX3wryb2F4taNHjxZ5v1ar5cSJExw9epTU1NR8i6WuJstyvkUxVydWL+k16P433LBhQ7EXXhkZGerrz2g0erSfclm5Ar3CArkTJ06oAXlxgV6HDh3UXJ15eXnFfjaYTCbef/999WdP0y1da0SgJwjlKDAwkOnTp6PX6wHYvHkz99xzjzp8eTVZllm7di3333+/enUfEhJSIDDZsGGD+gURHh5e6G4LxXFPqnzu3Lki21OYl19+WR36uXDhAsOGDcuXuPVqDoeDpUuX8uijj6pfVs8++2yB+Yru25199tlnasZ/d0ajkSeeeEKdxzdkyBD1S8B9b9jPP/+80B6ZK1eu8PDDDxfojXEN+bpzH94qatFGSWX0en2++WEffvgh8+fPL/ClnZuby2uvvab+HUpKGl0eGjduzKBBgwDnMPq4ceMKXTR05coV/u///k9NgdOkSZMK/wLt378/9913H+B8Tzz//PO88sor6sb2V8vIyOCNN97I10t1++23q3V4qlu3bmrwvn///kIvgv744w8mTpxYaGDvcs8996i3p06dWuiuF4qiMG3aNDXVz/XXX19gOLyk11ezZs246667AOfzNHHiRHXY2l1SUhITJkxQz1WvXj3uvffeIttfHmRZVlOrFBbIuS4sitsRA5zBrvt7Ye7cuSxZsqRAOdd725U2qHnz5iLQK4KYoycI5ax79+68//77PPvss+Tl5XHq1CnGjh1LXFwc3bp1o27dusiyTEJCArt27cqX3yoiIoLPP/+8wPCD+7DtnXfe6XXPT+fOnWnQoIGaKmPhwoUebwTfsmVLPvnkE/71r3+Rl5dHSkoK//nPf3jzzTe56aabqF+/PqGhoZhMJuLj49m9e3e+oGvy5MmF7rXbtm1bnnrqKf73v/8hyzKvv/46ixYtolevXoSEhBAfH8/69evVYd24uDieffZZ9fgHH3yQdevWoSgK58+f57bbbuP222+nfv365OTkcOrUKXbu3Kl+Qev1ejU4LawH0P05f/HFF7nnnntQFIXhw4ervbTuZebNm4fVaiUoKIguXbqow2rDhw9n//79rFq1ClmWeffdd1m0aBE333wz4eHhXL58mc2bN+eb8/X000/nC1wryn//+1+OHz/OqVOnSE1NZdSoUXTv3p327duj1+s5c+YMmzZtUgPhwMBAZs6cWSkbxr/22mvk5uaqOzi4eus6d+5MmzZtCAkJIScnh5MnT7Jr1658wXrv3r0LXBx5IiIigrvuukvtLX/11VdZvXq1Osx95MgRdu3ahaIoDBgwQO1ZvtqIESP48ccfOXnyJEajkfvuu48ePXrQokULwsPDSUtLY/v27WoOOb1ez4svvligHk9eg6+99honTpzgzJkzGI1GHnnkETp16kSXLl3Q6/X89ddfbNiwQV084uPjw//+9z+vejpL46+//lKnqhQW6Ll6+xo3blzkjhguI0eOZOfOnWzYsAFZlnn55ZdZuHAhvXr1wsfHR32duhZYRUVFMWvWrApbcV3TiUBPECrA7bffTqNGjXj99dfV4ZXz588Xu9/kbbfdxiuvvFJgOCcxMTHfsJE3w7YukiQxdOhQPvroIwA2bdpESkpKkduZXa1Lly6sXLmSd999l82bNwPOYZNffvmlyGPq1avHiy++yG233VZkmUcffRR/f3/ee+89NSg+depUgXLt27fnww8/zJf/rWPHjrzyyiu89dZbOBwOTCZTvmE8F51Ox7hx49BoNMyePRtw9i64VgC7DBs2jG+//Rabzcbly5eZNWsW4Ow5dD2Gm266iYYNG3Lx4kUsFos6NDZ69Oh886emTZtGvXr1+PLLL7HZbEX+7X19fXnmmWcYPXp0kc9ReQoICOD777/n+eefZ+PGjSiKwq5duwrt4b3++uv54IMPCt1LtSJotVpmzJhB165d+eijj0hNTcVut7N79+4iFwL5+/szefJkHnrooVKnCJk6dSpJSUlqsuN9+/bl24ECnHNAp0yZUmSgZzAY+OKLL5gwYYIa0OzYsaPQ3rbIyEjefPPNfK8XF09eg4GBgSxcuJDnnntOfS/+/vvvhfbO1qlTh+nTpxe6p3F5c98Ro7geveKGbV00Gg0zZ87k7bffVrdvPHr0aKHTDdq0acP06dNp3LhxaZte64lATxAqSMuWLfnuu+84dOgQv/zyC0eOHOH8+fNkZWUhyzJBQUE0atSITp06MWTIkHyLFdwtX75cHfpr2LBhqbcrGjp0KLNnz0aWZWw2Gz/++KNXw4VxcXF88sknHD16lF9++YXDhw9z8eJFNQlqUFAQ0dHRXHfdddx2223cfPPNHvUijBo1in79+vH999+zfft24uPjMZlMhISEcMMNN3D33XczYMCAQr/IR40aRYcOHViwYAH79u0jKSkJRVEIDg4mLi6ODh06MHz4cBo2bMjhw4fVQG/VqlVMmDAh3+KKFi1a8M033zBnzhz+/PNPTCYTwcHB+eZU+fr68u233/L++++zY8cOjEYjPj4+BVJvaDQannrqKe69914WL17Mzp071cfl7+9PXFwcN910E8OHD/dq1WV5CAoK4uOPP2b//v2sWLGCffv2kZKSgtVqJSIignbt2jFgwABuv/32KtmlYvjw4QwaNIiNGzeydetWTpw4QVJSEjk5Oej1esLCwrjuuuvo0aMHgwcPLvOK0sDAQL755hvWrVvHypUr+fPPP8nKyiIyMpL27dszfPhwbrzxxnyrtgsTHR3N4sWL+fnnn1m/fj3Hjh1Tg9Xw8HAaN25M7969ueeee4pMVePJaxCcq3k/+eQTted43759JCcnY7FYCA4OpmXLlvTt25ehQ4eW2HtWXlyBnquH352nO2K4MxgMTJ06leHDh7No0SL27dvHlStXsNvtREVF0bp1awYMGMCAAQPyzZ0VCpKUisozIAiCIAiCIFQpEQYLgiAIgiDUUiLQEwRBEARBqKVEoCcIgiAIglBLiUBPEARBEAShlhKBniAIgiAIQi0l0qtco6xWa74l+z4+PlWSSkEQBEEQBM85HI58KZ1CQ0OLTRYtAr1rlNFoVHdJEARBEASh5nLtnFIYMXQrCIIgCIJQS4lATxAEQRAEoZYSQ7fXqKu3pmrQoEGlbFxeHZ05cwaHw4FWq6VZs2ZV3RzhGiBec0JVEK+72sFsNuebelXSVpMi0LtGXb3wwt/fv8x7RtZUGo0Gh8OBRqO5Zp8DoXKJ15xQFcTrrnYqaSGlGLoVBEEQBEGopUSgJwiCIAiCUEuJoVsPvfbaa3z//fdMmjSJyZMnl6mu0aNHs3fvXo/K/vDDD7Rv375M5xMEQRAE4dokevQ8sGvXLhYtWlRu9Z06darc6hIEQRAEQSiK6NErwZ9//smkSZOQZblc6ktKSlJ3pLj//vu55ZZbii3fuHHjcjmvIBRGufp1LUlIklQ1jREEQRDKnQj0irF161aeeeYZTCZTudV54sQJ9Xb//v3p2bNnudUtCJ5SFBmQsGVn4cgzo8gyklaHISQUrY+v82eN6PAXBEGo6USgVwir1conn3zC3Llzy60nz+XkyZPq7ebNm5dr3YJQElcPXl5KInnpKSg2W777cxPj0QUE4RtVB31QsOjdEwRBqOHEJftVdu7cyYABA5gzZw6yLOPv78/DDz9cbvW7Ar3Q0FBiYmLKrV5BKImiKCiKTNbZE+QmXS4Q5LnYc7IxnT9NXvKVSm6hIAiCUN5EoHeVVatWER8fD0CbNm1YsmQJvXv3Lrf6XQsxWrRoUW51CoKnss+dxpFr9qhsbtJl8lKTURSlglslCIIgVBQxdFuI8PBwJk2axIgRI9BqtaSlpZVLvTabjXPnzgH/DNvm5uZy4sQJsrKyCAsLo1WrVhgMhnI5nyC4KLKM1ZiOw5zj1XG5iQn4hEeCGMIVBEGokUSgd5VRo0YxdepUfH19y73us2fPYvt7uCwoKIgXXniBtWvXYrFY1DIBAQEMGzaMyZMnExISUu5tEK5NkkZDXlqy18cpsgNLRio+YZFicYYgCEINJAK9q9xwww0VVrf7QoxPPvmk0DI5OTksWLCA3377jS+//JIGDRpUWHuEa4c9L9fjIdurWdJT8Y2ILucWCULlk2UZk8lEVlYWVqsVh8NR1U2qVHa7Xf339OnTVdyaa49Wq8VgMBAcHExgYCCaSrp4FoFeJXIP9CRJ4v7772fkyJE0btwYs9nM7t27+fDDDzl//jwXLlxg/Pjx/Pjjj/j5+VVhq4XaQLbklf5Yq6XkQoJQzWVnZ5OQkHBNzznVarXqbVfQJ1Qeu92OxWIhOzsbSZKIjY0lKCiows8rAr1KlJSUBDiDvJkzZzJgwAD1Pl9fX+6880569erF6NGjOX78OGfOnOGbb77hscceq/C2nTlzptKuLqob13C6zWbjyJEjVdya8teqVSsow5eb64vxypUrpKSklFezrmm1/TVX3ciyjCzLaDQadDod0t+Jwa+1zzwfH5+qbsI1TZblv7MfKGqvqkaj8fp16G3aNxHoVaIZM2bw5ptvkpqaWuSQbFBQEG+//TZDhw4FYPHixZUS6DkcjmtuGKMwtiJSjtRkDocDnb70C3w0Oj0AeXl5tfL5qWriOa0cGo0GvV6Pn58fwcHB+Pr6ijyRQqVSFIW8vDyysrLIzc1Vpw9U9HevCPQqmZ+fX4nz7lq3bk3z5s05ffo08fHxJCUlVXjOPa1We81d3bq4f9Hq9foqbEnFMJlMREZGotEbkG1Wr483hIajyDI5OTm18vmpCrX9NVeduHrz9Ho9/v7+REdHX7MBnvuw9bX6HFQlSZLw9/fHz8+P5GRn6iqr1ep1r54sy14FhyLQq6aaNGmiTpatjECvWbNmBAYGVug5qqsjR45gs9nQ6/W0bdu2qptTIRRFxiciitzEBC+PlPCNjEbSaGjTpk2FtO1adC285qqL+Ph4srOzAYiOjiYgIKCKW1R1zGYziqKoAYdQdaKjo7l48SJ+fn4EBQVRv359j481mUz55vyX5NrswqkBdDoRgwvlR5I0+EREIem86z3yCY9E0orXolBzWa3OXmwR3AjVib+/v9qr6nqNVhTxCV5J0tPTWbduHampqcTFxTFkyJBiy7sWboAz8heEspIkDUGNm5P91ykUR8kr7vRBIfjHNhRDPEKN5hri0mq14rUsVBuSJKHVarHb7WKOXm1hs9l44403AGjZsmWxgV52djZ//vknADExMdSpU6cymijUcpJGg9bXl+Bm12FOuIDNlFV4Oa0Wn/Ao/OrEVnILBUEQhPImAr1KEhMTQ1xcHOfPn+fkyZMcOnSI9u3bF1p23rx55OU5854NHjy4Elsp1HaSpEGj1xPUpAUOqwVLWjL23FxQZCStFn1wKD6hEfB3+glBEAShZhNz9CrR6NGj1dvPP/98vuFZl7Vr1/LZZ58BEBoaytixYyurecI1wrWVmUZvwK9OfYKbtCC4aSuC4prjExqBpNGIIE8QBKGWED165Sg+Pp6+ffsCEBsby6ZNm/LdP2LECH766Sf279/P+fPnGTRoEMOHD6dVq1aYTCY2bdrE5s2bAedijHfffZeIiIhKfxzCtaGwYE7sZysIglC7iECvEul0OubOnctTTz3F9u3bMRqNfPrppwXKhYaG8tZbb9G7d+8qaKUgCIJwLXOl/hFqB3H5XsmCg4P54osvmDNnDrfddhvR0dHo9XpCQkK4/vrrmTx5MuvWraNfv35V3VRBEAShDPbs2UPLli1p2bIl//nPf6q6OR5ZtmwZTz/9dFU3o0LEx8erfw/3qVSlMXr0aLWu+Pj4cmphxRA9eh7o1q2bR8kJ69ev71E5SZLo16+fCOYEQRCEaiEnJ4fx48ezd+9eunbtWtXNEcqR6NETBEEQhGtcRkYGe/furepmCBVA9OgJgiAIglDreTrqVtuIQE8QhHKjKAooCrhW9CqKWMkrCIJQhUSgJwhCmSmyjKTR4DDnYMnMQLHbQHLuxOETFomk1YqgTxAEoQqIQE8QhDJRFAVrVgZ5yYk48nIL3J+bmIAhJAz/uvUBnQj2hBrr+PHjLFmyhL179xIfH4/dbiciIoJ27doxZMgQ+vTp41V9ffr0ISEhAaDEIcXRo0erc+g2btxI/fr1C5RJSEhg8eLF7Ny5k3PnzpGXl0dwcDCxsbHceOON3HnnnTRo0CDfMXv27GHMmDH5frd3715atmwJQNeuXVmwYEGBc9lsNlauXMmGDRs4duwYGRkZ+Pv7ExsbS8+ePXnggQeK3b7T9dh79uzJl19+yfr165kzZw7nz58nLCyMdu3a8fjjj9OqVatinxdvuOe6LepxAciyzLp161i+fDlHjx7FZDIRFRXFjTfeyNixY2nRokW5takyiEBPEIQyyU26TF7ylaILKApWYzo2UzbBTVqgMfiIYE+oUfLy8njttddYtmxZgfsSExNJTExk/fr13HzzzcycOZPAwMBKb+PSpUuZOnUqVqs13+/T0tJIS0vjyJEjfPnllzzyyCNMmDChTOc6fvw4Tz75JOfPn8/3e6vVitFo5OjRo3z11VdMmTLFo92d1q9fzxNPPOGc+sE/z+mkSZPK1M7SyMzMZOLEiezbty/f7y9fvszSpUtZtWoVr7zySqW3qyxEoCcIQqkoioIlLaX4IM+9vN1G1rlThDS/XgR6Qo3hcDh4/PHH2bFjh/q7Dh060KVLFwwGAydOnGDTpk3Issxvv/3GxIkTmT9/PppKfI3v27ePl19+GVmWAejSpQsdOnQgKCiI5ORkdu/ezenTp7Hb7Xz22WfUqVOHUaNGAdCwYUOee+45srKy+OSTTwBo0KABI0eOBKBu3br5znXkyBHGjh1LTk4OANHR0fTu3Zt69ephMpnYv38/Bw8exGKx8M4775CZmckTTzxRZNszMzN59dVX1SDPpWnTppXec2Y2mxk1ahSnT58GwGAw0LdvX1q0aEF2djabN2/m3LlzTJ06laCgoEptW1mIQE8QhFLLTbrsVXnFZiMvNQm/mHpiP12hRvjqq6/UIM/f358ZM2YUGKJ1D352797NypUrGTp0aKW1ce7cuWqQN3XqVDVIc1EUhffff1/dR/3LL79UA726devyf//3f8THx6uBnut3VzOZTDz55JNqkPd///d/PPnkkxgMhnzltm7dytNPP012djZz586la9eu3HjjjYW2/Y8//gDg1ltv5bnnnqNu3bocO3aM9PT00j4dpfbJJ5+oQV5sbCyff/45TZs2Ve9/5plnmD17Nh9//DGZmZmV3r7SEpfVgiB4TZFlrMZ0FIfd62Mt6akV0CJBKH+yLPPll1+qP7/77ruFzsNr27Ytr776qvrzDz/8UCntczl06BDg3HlpxIgRBe6XJIkpU6ZQr149wDmcm5iY6PV5Fi5cqM4pHDZsGM8991yBIA/glltu4c033wScQeasWbOKrbdFixbMnj2bpk2b4u/vT+fOnbn99tu9bl9ZGI1G5s+fD4Ber2fu3Ln5gjwArVbLE088wbBhwyq1bWUlAj1BELwmaTRYMkoXsCl2G7bszAJDNYJQ3Rw8eJC0tDQAWrZsSf/+/Ysse+edd9K6dWt69epF+/btK/X1rdM5B+dycnLUHqmrSZLE3LlzWb9+Pbt27Sp2oURRfvzxR/X2Y489VmzZO+64g8aNGwPw+++/qwFiYe67774q31t327Zt6vzGPn36qItRCvPEE09U6tB8WYmhW0EQSkW2WUsuVNyx7vn2BKEa2rlzp3r71ltvLbaswWBg+fLlFdyiwnXp0oUNGzbgcDh48MEHGTNmDH369OG6667LN0WiYcOGpQ5Ak5OT1cUX/v7+xMXFlXhMhw4dOHfuHOAM9mJjYwst1759+1K1qTy5/6179epVbNk6derQunVr/vzzz4puVrkQgZ4gCJVPdOYJNcCVK/8sNGrWrFkVtqR4kydPZufOnZjNZjIzM5k1axazZs0iIiKCHj160KtXL3r16oWPj0+pz3H27Fn1ttlsLrbHqzDuz+XVCksVU9ncexyvHrItTIsWLWpMoFdz+h4FQahSiqKgyDLK35O+NfqCc3M8pTEYRG+eUO25LwgICQmpwpYUr1WrVsyfP79AgJKWlsaqVat49tln6dGjB48//jjbtm0r1TmMRmOZ2ljc8cHBwWWquzy4hujBs/aEhYVVZHPKlejREwShWIoiAxI2U5YzIbIs4xtVB5+wCOymbK/rk3Q69EEhYtWtUO3ZbLaqboKqpCHX9u3bs2bNGnbu3Mkvv/zC1q1b8y24cDgc7Nq1i127djFo0CDee+89r96DDodDvR0bG6uu2vXU9ddfX+R9rjmGVcnbz6OqnlPojap/dgVBqJZc+9bmpSZjSU9GdkvEqjEYMIRGYL4c7/XKW5/wqPJuqiBUCPeenaysrAo9l6IoxQYbFoulxDo0Gg09e/akZ8+eAJw7d47du3ezfft2tm3bptaxatUqunfvzj333ONx+9yfi8DAwELTr9RkkZGR6kIWT3ovTSZTBbeo/IihW0EQCnAO0zrIOnuS3MT4fEEeQM6VeAD8YuoWdniRJJ0e38ho0Zsn1Aju24X99ddfJZafP38+U6dO5csvvyQpKanE8u4rN6/e0eJqKSkpJdZ3tcaNGzNy5EjmzJnDtm3b6Natm3rfypUrvarL/bm4cOGCR72d2dnZ2O3ep2CqCu4LRUrajg7yz1ms7kSgJwhCIRRM507jyM0p/G67HUtaMr6RMfhGeZamQdLpCGrSAkmjLcd2CkLF6dixo3rbk7ltixYtYuHChbz33nslBm4Afn5+6u3iEgSnpKQUuZjhwIEDjB8/nttuu43//ve/RdYREhKSb0uxqwPRki6+GjduTGRkJODcEs6T5+OBBx6gbdu29OnTh99++63E8lXJfVX1hg0bii2bnZ2t5i6sCUSgJwhCPooiY0lPw24uIsj7m/nyJSzGdPzqxBLQoDFaX7/CC0oShtBwgpu1Riv2uRVqkJtuukkNbv74449826BdbceOHWr6kRYtWuTrASuKey674up27WhRGD8/PzZv3szFixfZuHFjsUOKGRkZ6u3o6Oh892m1/1yAuc/HczdkyBD19gcffFDscPKKFSs4deoUDoeD1NRUbrjhhiLLVge9evVStzXbtWtXvnQrV/viiy/Izc2trKaVmfjEFQQhH0nSYElL9qhszsW/yEtJxBASSkiL6wlq2gqfiGgMoeEYwiLwq1Of0OvaEdCgMRq9XgR5Qo1iMBj417/+pf48ZcoU9u/fX6DcqVOneP7559WfH330UY/q7969u3r7ww8/5NKlS/nul2WZzz//nG+//bbIOq677jpat24NOHv+nnnmmULnE6ampjJjxgz156uTPwcGBqq3ExMTCw32xo4dS2hoKOAc3hw/fjypqQUTp2/atInXXntN/fnBBx+s9qtUfX19eeqppwDn1JUnn3ySvXv3Fij33XffFRt4V0diMYYgCPnYc83O1bUeyk1MIDcxAZ+oOvhFxuBft/4/qVMURQR3Qo02duxYdu/ezZYtWzAajTz44IPcdNNNtG/fHp1Ox/Hjx9m0aZM6F61///4MGjTIo7qHDRvG3Llzyc7OJjk5mYEDBzJgwAAaNmxIeno6mzdvJj4+Hr1eT58+fYocUnzppZcYM2YMDoeDzZs307dvX3r37k39+vXR6XScP38+X29fq1atuO+++/LVERgYSGhoKEajkYSEBB5//HE6deqEn58fo0ePBiAqKor33nuPiRMnYrPZ2LlzJ7fddht9+vShadOmZGdnc/DgQQ4ePKjW26ZNG5544gmvn/eqMHLkSDZv3sy2bdvIzMxkzJgx9OrVi3bt2mGz2di2bRtHjx4FIC4uTu3Bre5EoCcIgkpRFK+CPHeWlERsxjRCr2v3zy/FoguhhpMkiVmzZvH666/z448/oigKO3bsKHSo9Z577mHq1Kke1x0WFsbHH3/MpEmTyMzMJC8vr8DuGsHBwbzzzjvEx8cXGeh17tyZmTNn8uKLL2IymcjKyipysUXnzp2ZNm1aocmThw8fzqeffgrAli1b2LJlC0FBQWqgB859bOfNm8ezzz5LYmIiZrOZNWvWFHqu3r17M3369DIlaq5MGo2GuXPn8vLLL7NixQoUReG3337LN79QkiQmT56M0WgUgZ4gCDVUGfboFPvXCrWRwWDgzTffZMSIESxZsoQ9e/aQlJSE3W4nKiqKzp07M3z4cDp16uR13V27dmX9+vUsWLCATZs2cfHiRRRFITY2lt69e/Pggw8SExPDV199VWw9/fv3p2PHjvz444/s2LGDs2fPkp2djV6vJyoqig4dOtCnTx969uxZ5MKLJ598ktDQUJYtW0Z8fDwOh4OQkBDS09MJDw/P1+Zff/2V5cuXs3nzZo4dO0ZGRgYajYbo6Gjat2/P0KFDuemmm7x+PqqaXq9n2rRpDBo0iB9++IEDBw5gNBoJDQ2lbdu2jBkzhu7du/PWW29VdVM9Jinik/maZDKZ8i0hb9myZb45GteSI0eOYLPZ0Ov1tG3btqqbU+Ws2ZmYzhW+MXpJtL5+hLQoOjGq4CRec5Xn9OnT2O12dDodzZs3r+rmVCmz2azm6/P396/q5lzzSvva9Pb7W0yeEQQhH31gMJK2dJ39hpDwv3fSEARBEKoDEegJglCAT3ik9wdJEj4RUUiS+FgRBEGoLsQnsiAI+UiShG9kDJLWu8TGPuGRXh8jCIIgVCyxGEMQhAIknY7AuGZknzsNcslDsfqgEPzrNRRbmwmCUC4OHDiQL01LWdW2vXm9IQI9QRAKkCQJnX8gwU1bkZNwAUdRu2RoNPhGROFXp37lNlAQhFptx44dzJ49u9zqE4GeIAjCVSRJcq6ibXYd9lwzlrRkHHm5zlV7Wi2G4DDnXD5JEj15giAI1ZQI9ARBKJIrgNP6+uEf2yhfQKcoslh4IQhChZg8eTKTJ0+u6mbUCiLQEwShRIX12IkgTxAEofoTn9SCIAiCIAi1lAj0BEEQBEEQaikR6AmCIAiCINRSItATBEEQBEGopUSgJwiCIAiCUEuJVbeCIFQJRVFAUUCSnP8CkkZcewqCIJQnEegJglCpFFlG0mhw5OVizcxAsdtBI6H18cMnLMIZ+FF4ShdBEATBOyLQ89Brr73G999/z6RJk8oliWNCQgLz589n27ZtXL58GT8/Pxo1asRdd93FiBEj8PX1LYdWC0L1oigKtiwjuSmJOHLNBe7PvRKPISwcv5hY0GhED58gCEIZiUDPA7t27WLRokXlVt/WrVt56qmnyMn5Z/9Qq9XKkSNHOHLkCEuXLmXu3LnUry/2DxVql9yky+QlXynyfkV2YElLwZadRVCTlmh0OhHsCYIglIH4BC3Bn3/+yaRJk5BluVzqO3nyJJMnTyYnJwetVsvw4cOZPn06U6dOpUOHDgCcOnWKxx9/nNzc3HI5pyBUNUVRyEtNLjbIcydbLWSfO6nO3RMEQRBKRwR6xdi6dSsPP/wwJpOp3OqcOnUqFosFrVbL3Llzef311xk0aBAjR45k4cKFPPjgg4AzIPzmm2/K7byCUKUUhdykBK8OkS0W8tJTUMrpIksQBOFaJAK9QlitVj766CPGjx9PVlZWudV78OBBDhw4AMCQIUO45ZZb8t0vSRIvvfQSTZs2BWDevHnYbLZyO78gVAVFlrEa01AcDq+PtaSliKFbQRCEMhCfoFfZuXMnAwYMYM6cOciyjL+/Pw8//HC51L1u3Tr19gMPPFBoGY1Go95nNBrZvXt3uZxbEKqKpNFgSU8r1bGy1YItJ7ucWyQIgnDtEIHeVVatWkV8fDwAbdq0YcmSJfTu3btc6t63bx8AISEhtG7dushy3bt3V29v27atXM4tCFVJtllKf6zV4sy5JwiCUAxFUVi9ejVjx46lW7du3HDDDfTp04fnn3+eI0eOVHXzqoxYdVuI8PBwJk2axIgRI9BqtaSlla43wp3D4eDs2bMANG3aFE0xw1GNGzdGq9XicDg4ceJEmc8tCFWtTGGa4vqfyKsnCELh8vLyeOKJJ9iyZUu+3yckJJCQkMDq1at58sknGTduXNU0sAqJQO8qo0aNYurUqeWexy41NRWr1QpAbGxssWW1Wi1RUVEkJiZy+fLlcm2HIFQFjc6Ao5TzTTV6A5IkBh8EQSjaSy+9pAZ5TZs25f777ycyMpKjR4+yaNEizGYzM2bMICYmhsGDB1dtYyuZCPSucsMNN1RIvenp6ertsLCwEsuHhISQmJiI0WiskPYIQmVRZBmfsHDMuTklF76KpNejCwyqgFYJglBb7NixgzVr1gDOqU+fffYZPj4+AAwcOJB7772XBx54AKPRyNtvv03fvn0JDAysyiZXKnGZXEncc+K5XoDFcZXJy8ursDYJQmWQNBp8wiKhFKtnfcOjKOPAryAItdy8efMA0Ol0vPnmmwW+Y5s2bcorr7wCOBc5LlmypNLbWJVEj14lcbilljAYDCWWd5Wx2+0V1iZ3Z86cKXbeYG3mSmFjs9mu6Qm7FcXPz49mzZrhF1WH3CTPpyJIOj0+EdHYbPZaN1dVvOYqj91uR6vVIkkSZnPBbfdqK0V2OPeRlmXndoI6Hfw9BUJRlFrzXGRmZrJz504AbrrpJiIiIgp9bLfeeivh4eGkp6ezdu1ahg8fXtlNLcDhcGC1WsnNzfXqc8DbDRxEoFdJ3K8wPMmN55rPp9frK6xN7hwOR75g9Fol8haWP5vNhtlsJiCmHrLNiiU9tcRjJK2OoCYtkDQaTp88Wav/LrX5sVU3tX31tqIoKHlmHJkZyIWkJdIEBKENCUPy9a+C1lWMAwcOqIFPly5divwbS5JEp06d+PXXX/nzzz/JzMwkODi4MptaJEVRKvRzQAR6lSQgIEC9bbGUnGrCVaa8F4UURavVXvM9elB5gfW15uzZs7Rq1YqA+nFoff3IS0lCtlkLKSmhDw7Bv14DNDo9Fy5exOFwlOrvYjAYCA0NRa/X43A4MJvN5ZoAvSzEa67yuI+KSFLtXbkt5+ViS76MYi36+0XOyUbOyUbS+6CPqYfG168SW1gxXNksAJo1a1bs37hJkyaAM7A6c+YMnTp1qvD2eUKSJHQ6z8MxWZa96pgRgV4lCQr6Z0J5ZmZmieVdZcLDwyusTe6aNWt2TU1OdXfkyBFsNht6vZ62bdtWdXNqPZ+IKOeQbHYm1swMFIcDSZLQ+vrhEx7lHGJCQZI0xMXFleocrqv6qz/0FUWuFit4xWuu8pw+fVodvvX3rz09We5s2ZlkX77gHKb1gGKzYL18gaBGTdEHhVRw6ypWcnKyertp06bF/o0bNGig3k5LS6vy14NWq8VgMKDT6WjevLnHx5lMJk6ePOlxeRHoVZLo6GgCAgLIyckpMWWKw+EgJSUFgHr16lVG8wSh0rgCLX1gMPqgEDUYU2TZbbuz0vW8uOqQrVby0pKwZWWiOOwgadD5+eETEe38YlMUsbWaUCvYzTlkXzjrcZCnkmWyL5wluElLdP4BJZevprzJaBEaGqrevpYyWohPukrk2sPWvau5MH/99ZfaLduiRYsKb5cgVAVJo8nX41bWwEtRZFAUss+fJvPkH1hSk527ajgcKHYbtuwsTOfPkHniD+xmU62fryXUfoqikHPpnPdBnosskxN/vka/F9wzU5SU0cJ9IeS1lNFCBHqVqEuXLoCzy/j06dNFlnPf39Z1jCAIRVNkGWSFrLMnsGUVPzVCtlnJPncaW3Zmjf6CEwR7TjYOS9kCFkdeLvYavJ+0+xzMkjJauN9fWRktqgMR6FWi/v37q7cXLFhQaBmHw8H3338POOf19ezZs1LaJgg1maTRYLr4F4683JILAygKpgt/IdusItgTaqy8tJRyqcdSTvVUBfcFiyWtXHVlswDP0pzVFiLQq0Tt2rWjQ4cOACxZsoSffvop3/2KovDmm2/y119/AfDAAw9U2qpbQaipFEXBYcnDll3yIqf8B8pYUpNLLicI1ZDicGDLzCiXulyLomoi9wUVJWW0cA/0PNm4oLYQizHKUXx8PH379gWc+9lu2rSpQJlXXnmF4cOHY7PZeOqpp9i0aRM9e/YkLy+PFStWcODAAQDi4uJ47LHHKrX9glBT5ZUyYLNkpOJXN5bSLv4QhKpSeHqistWn1da8dCvuufCMRmO+DBdXc1+AUVkZLaoDEehVsuuvv54PPviAZ599FrPZzKpVq1i1alW+Mo0aNeKLL77Il3tPEITCSZKELctYqmMVhwO7yYQ+qHokThUETyly+fbAlXd9lcU9BdOVK1fypVC5WmJionr7WspoIYZuq0C/fv1Yu3YtY8aMIS4uDl9fX/z8/GjdujVPPfUUy5cvL/bFKghCfrKj9BOrZYddzNMTahxJo63W9VUWVzYLoNhFju73S5LkVd66mk706HmgW7duHiUnrF+/vsdJDOvVq8dLL73ESy+9VNbmCcI1T5I0KJQuxcTVaV4EoSbQ6MtzMYFUzvVVng4dOqDX67HZbOzZs4dRo0YVWs7hcLBv3z4AWrVqVW22P6sMokdPEIQaRVGUAj1wQU1bYgiLUDdt94a2FmwDJVx7JK0WfUjxCYI9ZQgJRdLWzB694OBgunfvDsCmTZuK3JBg7dq1anLlAQMGVFr7qgMR6AmCUCMoirPHzpGXiznhAllnT5J15gTZ58/gyDUTENuI0Ova4hMe6XGd+sBgtIZrZ/WdULv4RkSVSz0+5VRPVRk7dizgTK8yZcoUTCZTvvvPnDnDW2+9BTj3nb/vvvsqu4lVSgzdCoJQ7SmKgiPXTE7CRRy55gL327KMmK9cwjeqDgH149DoDeQmFb/VIIBPZHS12f9WELylCwhC6+NbpqTJWl8/dAFFr1StCXr27En//v1Zv349Bw8eZPDgwYwcOZK6dety7NgxFi5cSE5ODgDPPffcNbXiFkSgJwhCNacoCjaTc/syilk0odjt5F6JR7bkEVA/Dtlmw5JedCJYQ0gYhuDQCmixIFQOSZIIaNCYrL9Olm4bNI2GgPpxtWKO6rRp08jJyWH79u3Ex8czffr0fPdLksSkSZMYMWJEFbWw6ohATxCEaktRFGSrBdOFs8UGee4s6aloDD74162PxZhW6BegISSMgIZNUBSlVnzJCdcunX8AQY2akn3hrHfBnkZDUKOm6PxrRxovPz8/vvjiC1avXs2KFSs4fvw42dnZhIaG0qlTJ8aMGUOnTp2quplVQgR6giBUCdeCipICrbyURK97K/JSEvGNjMEnNCJfr54uMBjfiCgMIWEiyBNqDX1QCMFNWpJz6ZxHw7iSwYeghk1qTZDnIkkSgwYNYtCgQVXdlGpFBHqCIFQa54IKCbspW83srzEY/p4jpBScKyfLWDLSvT+Pw4HVmI5f3Vh0AYFIGg1aP3+0Bh+Uv4NGEeQJtYnOP4DgFtdjz8kmLy2lkO3RJDSBQWiDQ9H4BdS6IE8omgj0BEGocIoso/y9t2xeegrKVZuPa/QGfCKi8I2Ihr/z2imKgjUrA5TS5cezGNPxCY/EEOqceO0K7CSNWHgh1E6SJKEPDEYfGIzicCDbrCiyA0mjdS5QslhET/Y1SAR6giBUKEWRka0Wss+dQr4qwHORbVZyExOwpKcS1KQFGr0eFJDtpd/xQrE7zyW+1IRrkaTV1si9a4XyJy5tBUGoMIqioNjtZP1VdJDnTrZayD57EsXh3HezTCGaCPAEQRBEoCcIQsUyX76k9q55wtW7hySh8fEt9XlFImRBEAQR6AmCUIEUhwNrltHr4yzGdFAU9EEhSDp9qc7tExFVYKs0QRCEa40I9ARBqBCKLDtTm5Qm2JJlLOmpgOLVlmYuGoMP+sBgMT9PEIRrngj0BEGoGJKEIy+31Ic7LLmAhF9UHTReDsP612soevMEQRAQgZ4gCBXElSKltFz57tBIBDVp6Vmw9/eWUPog0ZsnCIIAIr2KIAgVRFEUNNrSf8RodHpQFCSNBo1eR3Dz68hLTsSSnoriKJh2RR8cil90XbR+/iLIEwRB+JsI9ARBqDCGkLB8W5B5e6wrRYokaZC0GvzqxOJXJxZrZgayJc8ZTOp0GELDkf4OKkWQJwiC8A8R6AmCUCEkSUIfFIzG4INstXh1rNbPv9AtmlxBnCEkFNxGhcVuF4IgCIUTn46CIFQYRZHxjarj9XG+UTF/74tbOEnSIGn++U8QBEEonPiEFAShwkiSBt+IKHwiojw+xjeqDoaQcCRJfDwJgiCUlRi6FQShwgXENnJuqp58BeTCe+okrRa/mHr4RsZUcusEQRBqLxHoCYJQKXyj6uAbGYMlIxVrRpq6961Gb8AnPAJDaITYn1YQBKGciUBPEIRKIUkSSBI+YZH4RkTnu0+RZTHXThAEoQKIT1ZBECpVYQGdCPIEQRAqhvh0FQRBEARBqKVEoCcIgiAIglBLiUBPEARBEAShlhKBniAIgiAItdJrr71Gy5YtmTVrVlU3pcqIVbeCIFRLiuLc40yRHTjy8lBkBxqdDq2vPyD2tBUEoXi7du1i0aJFVd2MKicCPUEQqiVHrpm81CSsmRmg/LOxraTT4RMehW9ENJJOhyRJzqBQcd/8VhKBoCBcw/78808mTZqEXESC9muJCPQEQahWFEXBfCUeS2pS4ffb7eQlX0Gx2/GrG4uk1eEw52DLyXbm49Nq0QcGo/PzR1FksZWaIFxjtm7dyjPPPIPJZKrqplQLItATBKFaMV+5hCU1udgy/vUa4hMRhSU9FUtaMo683Hz35wJavwB8I2PwCQuvwNYKglBdWK1WPvnkE+bOnSt68tyIS11BEKoFRVGw55hKDPL86tbHJzwS04WzmBMuFAjyXBy5OeRc+ouc+PPqfD9BuFY4rDbyMjIxJ6eRl5GJw2qr6iZVqJ07dzJgwADmzJmDLMv4+/vz8MMPV3WzqgXRoycIQrWRl1Z8kKcLCMIvqg6mi39hyzJ6VKclPRVJo8Wvbn0xb0+o1ZzTHpJJP3qarPMJBeat+jeoQ1DzOPzqRFZdIyvIqlWriI+PB6BNmzZMmzaNtLQ05s+fX8Utq3oi0BMEoVpQHA7nwoti+EZEYcsxYTWme1V3XmoSPpExaA2GsjRREKqt3NR0EjbvwZKRWXgBRcF88Qrmi1fQhwTRoO+N+EXWrmkN4eHhTJo0iREjRqDVaklLS6vqJlULYuhWEIRqwZGXm78H4iqSTo8+JAxLCb1+RbGkJYshXKFWMsUncn7VpqKDvKvYMrM5v2oTpvjECm5Z5Rk1ahSbN29m1KhRaLXaqm5OtSICPUEQqgVFdhR7vyEkFEUuudevKJb01FIdJwjVWW5qOpd+2Y5st3t1nGy3c+mX7eSmetc7Xl3dcMMN+Pr6VnUzqiUR6AmCUC1I2uJnkmh0emSbrdhev+IoDjuIlXhCLaIoCgmb93gd5LnIdjsJm/eInu5aTszRK4SiKKxZs4alS5dy/PhxzGYzUVFRdOnShVGjRtG2bdsy1d+nTx8SEhI8Krt9+3aioqLKdD5BqAl0/gFIWp0zICuMJJU6yHNRFAWxHEOoLcxXkj0eri2KJSMT85VkAurFlFOrhOpGBHpXycvL44knnmDLli35fp+QkEBCQgKrV6/mySefZNy4caWq32Qycfny5XJoqSDUPj7hkeSlFD5vSHE4t0ArNUlCEnN3hFok/eiZ8qnn2BkR6NViItC7yksvvaQGeU2bNuX+++8nMjKSo0ePsmjRIsxmMzNmzCAmJobBgwd7Xf/JkyfVbvLx48dzww03FFs+JCTE63MIQk0kSRI+EdHkpSYV2nNnM2XhX7c+uoBA7DneZ7w3BIeWQysFoXpwWG1knY8vl7qyzsXjsNrQGvTlUp9QvYhAz82OHTtYs2YNAN27d+ezzz7Dx8cHgIEDB3LvvffywAMPYDQaefvtt+nbty+BgYFenePkyZPq7SFDhtC4cePyewCCUMNp9HoCGzbBdOFsgfscuWbsZhM+EdGlCvR8IkWPhVB72HLMZZ7KoFIU7DlmtAbRsVAbicUYbubNmweATqfjzTffVIM8l6ZNm/LKK68AYDQaWbJkidfncAV6Pj4+NGrUqIwtFoTaRZIk9MGhBMY1L3RxRl5aCoaQULQ+3q2u0wUEoQ8IFAmThVpDtpVuAUZRHOVcn1B9iEDvb0ajkZ07dwLQq1cvGjRoUGi5O++8k4iICAB+/vlnr8/jCvSaNWuGRiOefkG4miRJ6IOCCW3dloAGjdH5BzgXYgDWLCMOi4WgJi3Q6D1Lfqz19SMorplYWSjUKhp9+Q7Iacu5PqH6EH/Zv+3fv1/dBLl79+5FltNoNHTp0oWff/6Zw4cPk5mZ6fE8OkVROH36NAAtWrQoe6OFGk12ONBctTigsN9di5w9bxKG0DB8wpwXVoqiIEmSM2BTFIKbtyYn/nzRW6FJEobQcAJiG4KkEb15Qq2iD/Avl5XoAEgSugD/stcjVEsi0PubKwCDkoOwZs2aAc4vnlOnTtGlSxePzpGQkIDJ5Jxb1Lx5c8C5CvfEiRPk5OQQHR1NixYtRFbvWk5RFKw5eZzZepjzu46Tm5ENgF9YEHHdr6PZre0wBPiKwASQJI3bbemff//+LyiuGbLNRl5aMnazCcUhI2m16AOD8ImIQtJo8x0rCLWF1qAnOK4+Weculbmu4Mb1xUKMWkwEen9zz2sXGxtbbNk6derkO87TQM99IYZGo2HSpEls2rQJh+OfHQFCQ0N58MEHefTRR0WW71rGNXR4eOk2Tm86hHJV8t6c1EyOrtnNsXV7ad6nPe3u6QWIIKUorudFo9fjF1Mv3/OkKHK+IFEQaqPw65uVS6AX3rpZObRGqK7EJ+Hf0tP/2QYmLCys2LKhoaHqbaPR6PE53AO9d999l19//TVfkOeqb/bs2YwePTpfm4SaT5Ik9n61nlMbDhQI8twpssypDQfYM3+9CPI8dPXzJII84VrgXzcan7CyrZT1CQvBv250ObVIqI7Ep+Hf8vLy1NtXr7a9msHwzyRw9+NK4h7o6fV6xo0bx7p16/jjjz/Ytm0bb775proLxpEjR3jqqafUeYNCzSY7HJzedJALe054fMzFvSc4tekgsqP4PWAFQbg2SZJEbO9upU4krtHpiO3dTVxQ1nJi6PZvdre9At0DucK432/3Yo/BpKQkwBlIzps3j86dO6v3RUdHc99993HzzTdz//33k5iYyO7du1m3bh0DBw70+ByldebMmWt2FbDNZlP/PXLkSLnXHxwcTKNGjTi16ZDXx57edJDmvdtz/vx5srKyyr1tQtWo6Nec8A+73Y5Wq0WSJMxmc1U3p/z5+xJ9S2eStu5DsXt+USjptETf0hnF37d2Pi+AxWJRb9tstmr3OB0OB1arldzcXK8+B7ztABKB3t/c58PZbLZigz2r1areLikodLdo0SJMJhPZ2dnUrVu30DIxMTG8/PLLTJo0CYDFixdXSqDncDgKDCNfi1xfwOUpLDSMxGMXyEn1fk/KnNQsEo+eJ6x+OGlpaeXeNqHqVcRrTihcbU2x41snijq33UTqzkPYMrNLLK8PCSLypvb4hIfW2ucEoFOnThw4cED9ubo+VkVRKvRzQAR6f/P3/2dpucVi8TjQK2mY92qBgYEl7qbRp08fAgMDMZlMHDx4EFmWK7y3TavVXvM9euAcUi9v/v7+nP3jQMkFi3D5j3O0bVG/QtomVI2Kfs0J/3AfdanNQ5S+EWHEDryVvKQ0sk6dw3wpMX/qFUnCv0EdglrE4Rsdcc1+3ldHkiSh82L4XZZlrzpmRKD3t+DgYPW20WgkKCioyLLuCzDCw8PLvS1arZZGjRpx9OhRrFYrRqOxQs7jrlmzZl5v51ZbHDlyBJvNhl6vp23btuVev6IoWM2ez+W8ms1sQafXVUjbhKpR0a854R+nT59Wh2/dL+hrq4AmAUQ0aYjDasOeY8Zhs6PV69AF+GOx29R8lNfCc1HdabVaDAYDOp1OTbnmCZPJlG/Of0lEoPe3uLg49faVK1eK3BkDIDExUb1dr169CmmPuMqvPRRZKVPWea1BhyIrSNra2xshCEL50hr0BfeutYtpAtci0Xf7t6ZNm6q33ZMnF8Z1vyRJHkfhly5d4uuvv+b9999ny5YtJZZ3LdzQ6/Ue77whVFOKQlijmFIfHtYwutrOLREEQRCqNxHo/a1Dhw5qL9qePXuKLOdwONi3bx8ArVq1yjfkW5zk5GTefvttPv30U3744Ydiy547d44rV64AcMMNN4idMmo4jU5LXPfr0Pl430ur89ET1701Wp14DQiCIAjeE4He34KDg9U9bjdt2sTly5cLLbd27Vo1kfGAAQM8rr9NmzbqHLht27YVWT/A3Llz1duDBw/2+BxC9aXVaWnU/Tqvj2vU7Tq0ehHkCYIgCKUjAj03Y8eOBZwr4qZMmaLuS+ty5swZ3nrrLQACAgK47777PK7bx8eH+++/X63/6aefLlA/wJdffsnKlSsB57zBoUOHluahCNWNJNF2SA+CYorfdcVdUEwYbYf2cO7rKgiCIAilUKoZ4haLhYMHD5KSkoK/vz/NmzenYcOGXtVx+vRpDh8+DMC9995bmmaUu549e9K/f3/Wr1/PwYMHGTx4MCNHjqRu3bocO3aMhQsXkpOTA8Bzzz1XYCXsnj17GDNmDABdu3ZlwYIF+e5//PHH2bx5M+fOnePAgQPcddddDB8+nLi4ODIyMli3bh379+8HnIHk//73P6/TtwjVkyRJaA16ej99L1s/XE5mQmqx5UNiI7nliaFoDfpanRJCEARBqFheBXq5ubl89NFHLFq0qMDWX61atWLixIn069fPo7q2bdvGe++9h0ajqTaBHsC0adPIyclh+/btxMfHM3369Hz3S5LEpEmTGDFihNd1BwUFMX/+fCZNmsSff/5JYmIiH374YYFydevWZcaMGdxwww2lfhxC9aPRajAE+NHvhZFc3HOCM1sPk3ExOV+ZsIbRNLulHQ27tUKSJDRa0ekuCIIglJ7HgV56ejqPPPIIJ0+eLHQF4PHjx5k8eTL9+vXjnXfe8TgnW3VbTejn58cXX3zB6tWrWbFiBcePHyc7O5vQ0FA6derEmDFj6NSpU6nrr1u3Lj/88ANr1qxh7dq1HD16lKysLAIDA4mLi+P2229n+PDhBAQElOOjEqoLV+DWqFsrGve4nuykDMzpWSgKBEQEExQThmx3oBGLLwRBEIRy4HGg9/TTT3PihHNDdkmSuOGGG2jQoAHJyckcPHgQu92Ooihs2LCBM2fOMH/+fOrUqVNhDa9IkiQxaNAgBg0a5NVx3bp18yiJoU6nY8iQIQwZMqSULRRqOlcgFxQTVmDengjyBEEQhPLiUaC3detWdu3ahSRJREVF8dFHH9G+fXv1/pSUFD766COWLFkCONODPPjgg3z33XfExJQ+f5ggCIIgCIJQeh5NAFq1apWzsEbDxx9/nC/IA4iKiuKNN97ggw8+wNfXF0mSiI+PZ+zYsWoqEkEQBEEQBKFyeRToHT58GEmS6NGjB23atCmy3B133MGnn36Kn58fkiRx7tw5xo0bR25ubrk1WBAEQRAEQfCMR4FeWloagEebb3ft2pU5c+ag1zvTQhw9epQnnngCWZbL1lJBEK4piqzgsDtw2Ow47I5qt3BLEAShJvAo0HMFaTqdZ2s3brzxRt577z31523btjF16lTvWycIwjVHtjsAyLycytnfjnBywwH++u0I2UlG5/0ORxW2ThAEoWbxKHILCwsjKSmJ8+fPe1zxHXfcwcWLF3n//feRJIklS5ZQr149xo8fX9q2CoJQiymKgiRJXPz9FKc3HSLjQtJVJbYS2aweLfp0oH7H5lXSRkEQhJrGox691q1boygKGzduJCsry+PKx40bx7Bhw1AUBUVR+PDDD1m0aFGpGysIQi2mKOz+8if2zl9fSJDnlHrmMjs/W8uBhZsquXGCIAg1k0eB3m233QaAyWRiypQpBXbFKM7rr79O9+7dAecV++uvv86nn34q5tsIgpDP/u82cnFfyXkoAc5sPcKRZdvF54ggCEIJPAr07rrrLnUv2x07dnDXXXfx2WefsWvXLrKzs4s9VqfTMWfOHHU7L1mW+eCDD/jkk0/K2HRBEGoDRZYxxqdwbsdRr447+evv5GaYKqhVgiAItYNHgZ7BYOD9998nMDAQRVG4fPkyM2fO5JFHHuH48eMlHh8QEMC8efPy5d8zmcQHtCAIABKnNx30+ihFUTi95RCyQ6zoFwTBKTMzk08//ZQRI0bQrVs32rRpw4033sjYsWNZtGgRVqu1qptY6TzeMb1NmzZ89913tG3bVp1zBxAdHe3R8UFBQXzzzTfcf//9YrhFEARkhwNFlnHY7Vzcd6pUdZzbcRRJksq5ZYIg1ES7du3ijjvu4P333+fgwYMYjUZsNhvp6ens2rWL//73vwwbNoxLly5VdVMrlcd73QK0aNGCxYsXs3//fjZt2sTp06e92s/WYDDw+uuvc/vttzN79mwOHTrkbXsFQajhZIeM4pA58ct+dD566rZpjMNmL1Vd1pw8bHlWDP4+5dxKQRBqkhMnTjBhwgR1g4aePXvSt29fQkNDuXz5MitWrOD06dOcPn2a//u//+PHH38kODi4iltdObwK9Fw6d+5M586dS33Snj170rNnT86dO8epU6W7khcEoeaRZRl7npUtHyzFeCmFNoNuLHMydUUkYxeEa96bb76pBnlTp05l5MiR+e4fO3Ys//nPf1i9ejUXLlzg448/5j//+U9VNLXSeTx0WxEaN25M//79q7IJgiBUJlnht1nLMV5KAcBqtuAT6Ffq6iSNBr2vobxaJwhCDXT27Fn27dsHQL9+/QoEeeBcGPrWW2+p082WLVuG4xpJvl6lgZ4gCNcO2e7g/K5jpJ//J0deyql4/EICiGoeW6o667VrgqQVH2OCcDVbroXMy2mknUsk83IatlxLVTepwuzatUu9PXjw4CLL+fj40Lt3b8C5aMObTSBqslIN3QqCIHhLo9NyZuuRfL/LuJhM2rlEmt7SjpTTCV7X2bx3exRZQdKKBRmCoCgKKafiObPlMAmHz6LI/yx8lDQSdW6Io+FNrYlsVq8KW1n+NBoNzZs358qVK8TFxRVbNiQkRL3tzQYQNZkI9ARBqBTG+BSM8SkFfn9m62G6jO5HcN1wsq6ke1xfROO6RLeoX55NFGo5RVHAFftI1KoV2xkXk9nz1XqyLqcVer8iK1w5fI4rh88RVCeM7o8MIKyhZ1kzqrsHHniABx54wKOyZ86cUW+HhoZWUIuqFzHmIQhChVMUhazEjELvu7T/FOnnk+g1aQj+YUEe1RcUE0avSYPLvJDDU4qiYLVasdls2Kw2bDZbpZxXKB+KAiiQk5lDVkY22cZsck25+VKF1WSJxy6wecaSIoO8q2UnZrB5xhISj12o4JZVL0lJSWzbtg2AsLAwGjVqVMUtqhyiR08QhIqnFL06VrY72P7xKm6dci99nx/O/u82kvjn+UK/gCWNhvodmtH5wb5oDTo0moq9VrXb7Oj0Oi6eT+CnVRtJT8tAr9fTuGkDBg69Hb1BjyRJFd4OoXQcDgeWXAu55jx8fX1IT8p/saHVaggICSQ4PAhJI9XIHr6Mi8ns/HQNdot3Fx92i42dn66h99P31ZqevZJMmzZNvUi76667rpn3rQj0BEGocJJGwi80sMj7rTl5bP7fEro+dDu9Jg7GlJrJX7/9Qepfl7Hn2dD5GohuWZ9mt7TDJ8gPRVEq/ENalmX27T7E57MXsH/3oQL3/+/Njxk49HYen/IIQcGB6PXi47Q6cTgcHNtznHPnzxFRNxxf34K5Fh0Omaz0LMzZZqIbRKHVaWtUsKcoCnu+Wu91kOdit9jY+9V6bn/lwRr1uEtj0aJFrF27FgB/f3/GjRtXxS2qPOKTSRCEShHVrB6+IQHkZeYUer8t18KOT1YTFBNG05vb0uqOLvkSIct2BxqdFqj4uVWyLLPw62W899rsIof2zDm5LP52JVs37uTLRR9QL7YOuloa7Nls9gKBbGG/qy4cdgcXjl9g3n+/4taHbi6xvN1mJ/lSCnUaxdSohT0pp+I9Hq4tSublNFJOxRPdskE5tar62bBhA6+//rr689SpU4mJianCFlWu6vkuFQSh1lEUhSY923Bs7Z5iy2UnZXBoyVaOLNuGIdAPQ4AvvZ+5Dx9/30ppp91m59eftjJt6iyPyiddSeHRB6aweN2XhIR6NsewppAdMnkWC8sXrWXV0p9JvJwMQEzdaO4edjv3jByIr59vtRsC0+q0LP5wKXab53nS7DY7WenZhEQG15jeratXsZelntoa6P3yyy9MmTJFzZk3ZsyYYlOw1EbV690pCEKtpdFqad67PT5BniVIlh0yeZk5RLeoj8Gv8rY402g1vP/2XK+OuZKQxDdf/IDdXrqt3KqrLz7+lt4dhzDttVkc//M0GemZZKRncuLoaaa/MYfenYby2UffVHUz85FlmQsnLpJw5rLXx5oyTRXQoophy7WQcOhMyQU9kHDoTK3Ms7dkyRKeeuopdV7e0KFDefHFF6u4VZWvUgK9yloZJwhC9ab3NXDz5KHoPdybtl7bJnS4/5YK62Gx2+1YrVasFit2uwOHw8GOLXtJulIwDUxJli1aW2N6gjzxzn8/ZPb/viQ3N6/IMrm5eXw8cz5vvDijEltWPEmS2LZiR6mOlR2yuhq3ujNnmPLlySsLRVbINRY+paKmmj17Ni+//LJ68XXPPffw9ttv16r3qKdKHejt3buXBQsWeFT23nvv5bHHHmPr1q2lPZ0gCLWARqclJDaCfs+PILpl0Tnw9P4+XDegCz3G3w2U7wezLMs4HDK5uXmsW7mBbz5fzIIvl7Dhpy04HDKdb2zPi288SUiodxuep6Wks23zHmRHzb6wtdnsLP9hLQu/WubxMUu+W8Xib1dis1V9j6YkSSQXkq/RUzarvUYEeqVdgFEUW561XOurKrIs8+qrrzJr1j9TL8aMGcNbb71V7aYYVBav5+hdvHiRV199lT179hAcHMzo0aOLLZ+ens7x48c5fvw4v/32G506dWL69OnUrVu31I0WBKHm0mi1BESGcOtT92JKNnJ6y2EyL6ci2xwYAnyJbdeUhl1bImk0SJryDfLsNjvJSal8+fF3rFn+K7nm3Hz3B4cEMfi+AYx59H669+jEhIeeJeFSosf1J1y8jMPhQFMDtmWTZRlZltFoNPm+APV6HV999oPX9X3z+Q/c/2D1mPskl2UPU0WhvC8uKoLOR1+u9dWGPaNlWea5555j9erV6u+eeOIJHn/88SpsVdXzKtA7cOAAEyZMICsry5kANSuL06dP07x58yKP2b17d76ro/379zN06FC++uorWrVqVfqWC4IHZIcDSZIwpWZhz7Oi89ETEBkMSDXiy7i2cj33AVEhtL+3F5JboOG+urY82e12/jh8nEkP/4fsrMLnYmVlZrPgi8X8vGojH3/9Hp8smMGYYY+TkZ7p0TlkWaY69wU5HA40Gg0ZaUb27DyAOScXP39fOnVtR0zdKGw2O+fPXuTcGe8T6V48n8DuHb/TpVt7tBXw9/NGUBkWxWh0Wq/CPEVWCsSFlTE86B8WiKSRymX4VtJo8AsNKIdWVa2pU6eqQZ5Go+HVV19l5MiRVdyqqudxoHfp0iUmTJhAZuY/H3idO3cusSv05ptv5sMPP2Tp0qVqRmqj0ci//vUvli1bRnT0tZGoUahcskPGlmvhzNbD/LXtT3KN/3yx+wT6EXdTa5r3bo9fSADBwcGkpZUtRYFQOpIkwVVfihUV5F08F8/jDz1HjslcYvmU5DTGj3mW71bM5dlXJ/Hik295dJ6omEi01fQCQpEVjhw8xoIvFrPl1x3Y7f/0emk0Gm66pQujHr6XHrd05f8eH8WXH3/n9Tk2/vQbnbu2K89me81hd9CxT3v+3HXU62MlCfyD/ErsSXZ1XsgOGZPRhN1mR1FAq9PgHxyAj6/BuQdzOfdIu9P7+RDbvhnxB06Xua7Y9k3RV+KCp4qwbNkyfvjB2ROt0Wh45513GDJkSNU2qprw+BPptddeIzMzE0mSaNCgAd9++y0LFiygadOmxR4XGBhI//79+eyzz/j666+JiYlBkiTS0tJ48803y/wABOFqiixz5c9zrHnhS46u3p0vyAOwmHI5+cvvrH1pHn9tP0qjRo2umT0PrxUOhwObzY7NakOWZXQ6HTPemutRkOeSlpLOJx9+Tf+7ehMeEVpi+aDgQHrf3hOttmp7s4ry6Udf89A9k9jw02/5gjxw9kRu37yHCWOe5d3/fsQTz49j9L/u9/ocWZnZVd6bp9Vp6di7A4Eh3vdQ+QX6ldh5oSgKdpud1MtpJJy9TGZaFjlZZszZZrIzTCRdSCLxfCK5ORW/qKPZLW2rVT1VJTU1lbfe+udi7PnnnxdBnhuPevT++OMPtm/fjiRJxMXF8f333xMWFub1ybp27cqCBQsYPnw46enp/Prrr5w9e7bEYFEQPCU7ZBKPXWDnJ2tK/JBVZIXfv98IQFyP1pw+XfYrY6Fq2Gx2dFotGelGcnPz8PP3JTwijExjFpnGbBrGxfLyW1P4YcEKvv7sBzWnVkl+XrWRZ15+nKHD7yqxh+vuYf3RVXGQUxhZlvn6sx/4eOZ8j8p//9VS9AYdz74ykf27D3L8T8/fFwYfA7IsV32wK0Gf4b1Z9dkazw+RIDi8+AU4iqJgzbOSEp+CXMyQqdViI/VyGqGRIQSFB1XYUG5Ui/oE14soU9LkwJhQIprVQ1GUGrsi9euvv8Zkcl7Q16tXj/r167Nhw4YSj2vdujX16tWr6OZVOY8CvTVr/nmzvPPOO6UK8lwaNGjASy+9xNNPPw3AihUr1NuCUFayw8GeL3/y6kr6wKJN1L0hjoiIiApsmVAR7HYHueZclny3iiXfrSLh0hX1vsbNGnH/g4MZdE9/0tMy+H3PIR574iE6dWvHM49PLbAQozB5eRbWLP+VO+7uU2ygFxwSxMPjR1TLVX3G9ExmTf/cq2O+/uwHBt97B8PHDGXqc+95fFzzVk2QHVUf6Gm1Wm57oK9Xq2/D60Sg93HuXexcqKIgSeT7mzrsDlLiU4sN8twZUzPR6rX4B/lXSBAlSRLdxvZn84wlpVqFq9Frady3I8kXk4luEI1Gq6mRwd7y5cvV25cvX2bixIkeHffOO+8wbNiwimpWteHRp9KhQ4cAZ/Tbvn37Mp/0zjvvVKPo33//vcz1CQI4J/Gf33XM6zQBiqxwdusRwsTwbY0iO2Q2/7Kdvl2G8cG7n+YL8gDOnbnAtKkf0f+m+zlx9Ay9b+/Fmy/OoE27Vkyf81+Pg5GL5+KJiCz64jYwKIA5X00jIjK82n1J2u12Fn2zvMBQrSd+WLCSu4fdzvYja9h/egN7T/7C3hPr2XJgJY9MeKBAeR8fA8OG34XeUL6rQUtLURRGPTeC6AbR+Rb7XE1v0BFVPwq/QF+y0rKw2+xIkoRWo0GRncO0siw7f6fVElE33Ku5d5kpni3kKa2whtHc9NhAr1fhavRaWtx9IwExYdisdpIvJdeItDJXS09PJyWl9Ol0rgUe9ehdvHgRSZLo1KlTuZxUkiRuvPFGli5dyoUL3q/uEoTCaHRazpZyS6C/dvzJ9Xd3L+cWCRXFYXewcf02np04tcQvJ1N2DpMe+Q9z5k/jyRfG8/zk15n15TuMGDOE7+YvLfFcdru90OBFkiR63NKVZ1+dRIOG9arlPrcajZalCz0fvnRpdX1zuvfqjFarRZIktvy6g+wsE75+PtzQvjVP/ucxJjw5ll3b9/Pv/3PuNND/7j74B3i260llcAXdEXXDsdvtaCQNvgG+yHYHSBI6vY7A0AB8/X2xWW1Y86yERIZgs9rISDaSk5WTb0Wrj58PgaGB+Af5EdukHkkXk7BZS84baLc7yMvJwzfAt8IuBOq0bkTvp+9jz1frPRrG9YsIpln/zgTE/HMBY7PayU7PJjii5mwBBxAeHs7JkyeruhnVmkefTNnZ2QBERkaW24ljY2MByMrKKrc6hWubw2ons5RzVSzZueSkZxMUFVq+jRIqhCk7h5eeesvjHgi7zc6zE6fy6+4lNGkWx8olPzN8zFC+/2pZiXWER4Si0WgYdO8dGNMz0el1xDVpwPDRQ6gbG4Pdbkenq35BHoA5x0xKsnfviX4DbuadD17mzKlzvPL0u6xfuxmrJX8veZcbOzDyoWH0G3Azm/YvZ8ywiUx5cUJ5Nr3cuIIWrVZLdP0o9feKopBryiX5UjJB4cH4+vuQkZxBdkbhqXcsuRYsuRYyU3VEN4giplEMWenZ6A06NBoNiqLgsDvIyTJjvWpUwZSZg19gxQbBYQ2j6f/KgySfiufUpoNcOXLu75yATpJGIqxpPWLaNSW4fmShwZwpM4fgiJLnKYKzR11RFGceRq2mRs/xq+08+nTS6/U4HA6s1vLLnO2a91DVczmE2sNRxqz89lqSGb62s9vs/PDtCiwW7/5eWZnZrF2xgeGjB/PMxKncP3owXW/qyJ4dxU8fuXNwPzQOhdfefRbt3712drtd/eyqrkEeoO7x6amevbvx3uz/snThGt559cMit6/ct+sg+3Yd5M7B/Xhr5ous2rwARaHK5ygqsqIGIrmmXGdew78DEFmRSUlIxWaxoSiKGqiERATjF+BLelI6Jg+2AbPb7CRdTCamUTTB4UHkmMzYrFYkjYSPr4E6YTFY86xkG03kZDrrc5Ri6Lw0JEkiukV9tEH+xPZog82Ui8NmR6vXoQ/0K3F411FM76PrOTMZTZgyc/I9JoOvgcDQQAKC/EGqnDyCguc8+oSKjIwkPj6exETPM8SX5PJl54bTQUGlT2wpCO60ZcwUX9PzSF0rNFoNP36/uuSChfhhwQrufeBugoMDOXLgKAMG9y020OvcvT1xTRvyy1vfYbfYuPP1sUD1Du7cBQQGoNFoPNpvPCg4kPdm/Zd1Kzbw1sszPap/3coNaLVa3pr5YrXY0zw5PoUtP25l36+/Y8m1AHDbo32o26QOwWHBRMVGkpNlJj0xTe3sCgwLxGzK9SjIc3HYHaRdSSemQTTJSankue0H7OfvR3h4KOHRYfj6+5CemF6uj7EkkiRht9nQ+ehLtXuGzWrH1598SaAVRcFkNJGRbCz0GGuelfTEdDJTM4mKjVQXtQjVg0efVi1atODSpUvlunBiz549aroWQSgPWp2WiKZ1STt7peTCVwmIDCaghCELoXpITkwh8XKyR2Wva9Oc4aOH0LFrO4JDgrDZbFjyLIx4aBiX45OIjAov8liNRsOjkx4k+exljJdS6HD/LRW2a0dZuXpXNFrnAgJZltHpdRgMem66pQvbN+8psY7B9w1Ao5F4578fenXu1cvWM+T+AbTr1AaNRqn0FDOKoqDICgtnLGb3uoKP05USxZpnJelSMpH1IomMjSIlPgW/QD+0Wi2mjGyvz2sxW7BabISHh3I54Z9OkFxzLgnmXIzGLBo0qkd4nXByTSWv8C5PZVpTcdXBiqJgyjCRkWIs8VCH3UHSpWRiGsagN+hEsFdNeBTo3XTTTWzcuJHz58+zf/9+OnfuXKaT7t69mwsXLiBJEu3aVW0WdaH2kB0Omt/arlSBXtNebbFZrRh8RK9edeZwyJg8SHrcqWtbnnphPG07Xs/Z0+f5efUmMtKN6PU64po05M7B/dAb9KSnphMUHFhgSzRJknh+6mS6dO/Abx8so36n5jTv06GiHlapOewOJI3E8X0nOLrrGLk5eeh99DRq2YCu/bug0+t4+c0pDO4zutihbkmSuP/BwaxZ9qtXSaVdFn69jM7d22O1Wqskl+D817/h0NbDJZazmC2kXEomumE0YVGh+Pj7YLPayDNbSnVek9FEaFQIiVeSC/Ro5phyuHThMo3i6qP3MVTqHDatVoP3yVacNDqN2punKAp2q92jIM9FkRVSE1Kp10TsZ19deBToDRgwgGnTpmGz2Xj77bdZtGgRBkPpNkC2Wq28/fbb6s+33357qeqpSIqisGbNGpYuXcrx48cxm81ERUXRpUsXRo0aRdu2Zc8ifurUKebPn8+ePXtITk4mKCiIpk2bMmTIEIYOHSrmLpaCRqulfscW+C3dRq4XwzA6Hz2Ne7YhPSODOnXqVGALhbKw2exkGbPwKSEYHzCoL2/OeIG9Ow/wyPAn2L/7UIEy/3tzDgOH3s6Epx7m6x9nMX70syQnpQJQv2E9nvrPY/Tp34s9838mpF4EHUf2rlaTzV1t2br0N7Ys20ZGUka++3ev28OKT1bT9fbODHpsIN8un8sjI54oco/fNu1aEdekAc9OnFqq9mz5dQfGjEz0eh0ajRZ9Ja1Attvs7Fyz26Mgz8VqsWFMMRIaFYoiK2XqbbPkWtBoNOj0ugILVsAZ7BmNmYSEVt5KVkVR8A/yL1XwKkkS/oH5c/5ll6K3026zk5uTh6+/T7V5z1zLPJo5Gx4ezrBhw1AUhePHj/Pkk09isXj/IsrLy+OJJ57g1KlTSJJE586dyyVoKk95eXmMHz+eZ555hl27dmE0GrFarSQkJLBixQpGjBjBZ599VqZzLFmyhGHDhrFs2TISEhKw2Wykp6ezb98+XnrpJcaMGYPRaCyfB3TNUeg5cbDHc1MkjYYbH70TSachPb1y59IInlMUhewsEx9N/5x69WOoGxtTaLket3TlrZkv8sOCFTw+9vlCgzwAc04ui79dyci7x6HT6fhi0QcMHNafuV+/x5qt33HjjR05t+NP2g3tSadRfZE01SuRrKIozH/ta5bPXVUgyHOx5FrYtnIH/xs/k3r1Ypg9790iU8BE13FmVDh76lyp2mO3Ozj/1yUUhUoL8gB0eh2/Ld/m9XE5mWZQnIGN4mHy48K4ji1uEUp6mrFSF6lIkoR/cACaUuyze/U+v4qikJPlfQ8vgCkju1q9Z65lHr/6nnrqKXXngM2bNzN48GA2bNjgUXoDu93OTz/9xODBg9myZQsAvr6+vPrqq6VrdQV66aWX1DY2bdqUF154gRkzZvDII4/g7++Pw+FgxowZrFy5slT1b9u2jVdeeQWbzYafnx8PP/wwM2bM4MUXX6RFixYA7N+/nylTplSLyc01jUarJaReJL2fuQ+/0MBiyxr8fbh58hCiWzXk7F9nsdvLtmpXqDgOh8w3n/+AIivYbHbufeDuAmX0Bj1v/O8//LJ2C++9Ptujz6bEy8mMH/Ms4RGhvD3zRbre1BHFIRMYHkyTnjfgX03nbS6bvYIDmw95VDbpYjIfP/spbTs4898VxmAw4HA4SpVY2cWSa0GSqLTPLdkhc/rQGZIuejZf050zgMlxrhDVlj4YcQVFsqPox5yXm0eu22KNyiBJEBTm3UJHSZIKbAEnO2T8gvxKFbDl5ZZuOFwofx5feoWEhDBnzhwefvhh8vLyuHDhApMnTyY4OJguXbrQsWNHYmJiCAsLw2q1kpGRQUpKCgcOHGDv3r3k5jq7xxVFQafTMX36dJo3b15hD6w0duzYoW731r17dz777DN1mGjgwIHce++9PPDAAxiNRt5++2369u1LYGDxwYQ7q9XK1KnOBK/+/v58++23XH/99er9I0eOZMqUKfz666/s2LGDdevWMXDgwPJ9kNcAjVZDSN0I7nr7ERIOnuH05sOknklQ7w9rGE3TW9rSqGsrJI2Gs3+dxWw2o9dXj4z+QmEURv/rPoJDgrlw7hL3jLybzz76Jt+8s3533ExoeAgz3/7Eq5ovxyfyzReLGf/EQ/kSI2u01W87M4Cs9Cy2rdzh1THxZxL4fdNBRo29h543d2XhN8vZu+sgOdk5+Af4cX27Vmi12kLnK3oqPDIMi8WKTq/H17fi57rKDpmTv58q9fF5ZgtBYUH4+vuWug5ffx8cDrnEi8S8XAu+vpU3jClJkjP5s82O2YMeOb2Pnqh6kWj1WhRFcaagkRUkrUREnXDkKJmcrByyM0wep4opS0+pUL686mNv3749X3/9NRMnTlS3HMnMzGTjxo1s3LixyOPcr6yjo6OZPn063bp1K2WTK868efMAZ+qEN998s8BcoKZNm/LKK6/w9NNPYzQaWbJkCQ8//LDH9f/yyy/Ex8cD8K9//StfkAfOq+pp06axb98+jEYjn376qQj0Ssm1MjK2fVMadGqB7JBxWG1oDTo0Wm2+1ZOuixCh4skO2fkFIv09z+zvZKvFcTgcoMCfh07w+gv/Q5Iklv36FW9/8BLPTnxN7UEaPnoIWzbsJCnR++2Qli1aw4Qnx5bmIVUqh93Bb8u3F9uDVJRtK7bT9fbO+OQ5eO6VSejdpjfYbDZkWabvHTezYvE6r+uObVCHZi2bsG3zbm7pe6PXx5eKhJpCpTSUv183Or0OX3+fQue0abUaAkICMfjqkTQaFFnGbnOQk5mDzWojMCSQTGNWib2YiqKgKM6etsqiKAqRdSPI1OvIzsgucn/e4PAgQiJDsNvshe4I4noOAkMDCAgJIDUhzaPn3Ztt4kpDzY/493PvSloNIo/f1by+ZG3bti0//fQTDz30EH5+zkzfzhdx0f8BhIWFMWnSJNatW1ctgzyj0cjOnTsB6NWrFw0aNCi03J133qkOYf/8889enWPdOucHqCRJjBw5stAyAQEB6ibLp06d4ty50s2ZEZw0fy9q0Wg16P18/vm5GqbIqM1kuwNFUUg+cZGja3Zz6MffOLZ2DymnE9T7i6IosPHn33hy3MukJKeRnJTKk+Ne5pa+N/G/j6fi5+dLWHgIHbu2ZeXin0rVvtTkdLZv2VPtp0todVr2/LyvVMeeP3aB1MtphMRG8efqnWx87we2frQca56VuTO/4nJCEqMevqdUdd/7wCAcDjurl60v1fGloji3JSst1/63DrujwDCnwUdPZL0I6jWtR1CYc9TGYbOjKAp+gb7UbVyHOo1i0PvoSU8rfI6kO61WU6lBHvwT7ARHBFOvaSzhMc68fnofPQZfA/7B/tRtXIfQqFCyM7K5ci4Rk9FUoCfO4ZDJSs/iyrlELGYLUfUjMfiVvBjT07+NGivICnnmPMzZZvJy8nD8/Zlx9RQMRXHuP5ydke1sr1uibkmSnPMuCznuWlaqWbOBgYG88MILTJo0iQ0bNrBz505OnjxJYmIiZrMZjUZDcHAwDRs25Prrr6dHjx707NmzWicZ3b9/v/oh37170XueajQaunTpws8//8zhw4fJzMwkJCTEo3Ps2+f8gG7ZsiXh4UXn7+revbvau/jbb7/RuHFjTx+GIFQrrl6TU5sOcnbrEXLS8m95ePznfQRGh9L81nY0690eyH81LssyCZcu8+KUt509e3/bv/sQj41+hg8/f4tfdi9h86/bAecwbGnFX7yCw+5AY6ieQ7bgHA7LTM0s9fFpiWn4hvnTeuCNoChc3H2c+P2nGDb8ThZ89gMvvPEk3Xp0ZM+OAx7XGRIazH2jBpGcmMq9I+/GYXegrYQLKUkr0axdU9Yv+LVUx/v4GbDb7JiMOYRGhRAUFkh2hgn/ID/C60Rgs1hJS0wnN9tcIC+dr7+PGhyGhAaTXEwvskajITAooMp6mZzBDwSEBBDoNm/ZFQhlpWdhTCn5NaUoCqmX04iMjSSqXiRXzl0pspcQnHMES1qp7to2Ljsjm5xMc4ELLb9Av7+H133U8sYUI1qdjuDwYGfAl55FTpZZ7eXWGXQEhjh7H12P/1pXpsgrKCiIoUOHMnTo0PJqT5U5ffq0etu1KKIozZo1A5wvulOnTtGlS5cS609KSlL39S1pbmLTpk3V2ydOnCixbkGojhRFQZYVdny8isRjF4osZ0o2cnDxVpJPJzhXQEv5V/0t+GIJNmvBrGC/7znMoD6juWfEXYwYM1QtX+r2yjLVvg+gjN9ZiqKwb9dBPnj3Uwbdewf/enwUGptMQHgQLa9vTnJiCjPmvs7oYRM5d6bov5mLn78fs+e/i5+fL++8+iHvfPhy2RroBa1WS6vOLYmMjSQ1IdWrYyVJIjAkEEuuBbvNhiXPSlh0GAYfZ09XcbtAgHN+X57ZQkCwP5F1wlEUhZSkwtsQEhpc5VvDgfMxu09T8fX1xW5zeBTkuUu/kka9pvXwDw7AZCx8PqdOr8MvoPi5j669htOupBUIpF1yTbnkmnIJrxNOYEgA6Ynp+Ab44hfoT9qVtEJXBNssNjKSjRhTMv8O4MXuW1X/6qsmEhL+mawfGxtbbFn3XGvuxxXHNTfPk/pjYmLUDwbXVnGCUNNIksTuL38qNshzl3DwDPsXbMj3O5vVxprlvxR5THpqBp/P/pYHBo0HIDI6otTtjYqJRFtNF2C4uCbZl1ZoVCjGjEyyMrP59ssljBz0GJm5ZvKyzAy+7w4O7D2CAny3Yi639rup2N6QZi0a883S2Vx/Q0s+njmffz/3aKWvXHfYHfQa3MPr4/yD/ZE0Er4BvkTWi8TH15nQ2D/Yn5ysnGKDPHc5WWbSkzKIjokkIMC/wP2SJBERGeZ1+yqK8+Lrn16z0uTIk2VnypWgIrIaSBqJyNiIfPsOF9aOvJw8Ui8XHeS58/E1YMrMQafX4R/oT2pCSolpXxRFISPZSGZq5jU/jFu9P9UqkXsOtbCw4t+YoaGh6m1P891lZPwzj6Ok+vV6Pf7+/l7VLwjViSLLpJ27QsLBM14dd37XMbIS09U5Nru3/445p+TFMkmJKZw8doa7hvQrVXuDggPpfVuPap+o3GF30O2OkkcQChPXuhF1GsawZcNO9XdXEpJ4bPQz2DVw5Y/z9Lm9JxLOBTAfffkOP21fxEPjhtO0eRzRMZE0jIvljrv78PWPs1n261c0btaQj9+fz/DRQ4iKjqj06TlanZZb772Z1t2u8/gYvUFHWFQokH9YzzW3KyPJ6FUbcjJzyDPnEX5VQCdJErEN6mLwMVS74UOtVgsKmLM8TyzvzmQ0Oef6XTVXT6vVEN0gGq1WS3pSRtFz5RRIu+JZ3lIfP+e8wpxME0HhQRhTM71KBp2ZlkWeOe+aDva8DvTS0tKYN28e//rXv7j77rsZMmQI//73v/nxxx+xWoveYqe6y8v7J89RSZn33XcFcT+uOO5d5iXV717G0/oFoVqRJE5vOlSqQ09vOgSKguyQMWZklVje5YcFK7jj7j6EhHqf+27QPf2rfZAHzsDm5qE9S5X6pdeQHpw8eoYjB47m+/3l+ES++nQRUc1j2fDW95gT0vEPcC60i6kbxRPPj2P5hq/ZsHcpa7Z+z7RZr9Lq+mbs3XmAo0dO8u/nHyUyOrzIZMyV4dE3H6HDre1LLGfwNRDdMBpJIxUIvhRZIceYU6qAwGTMISg4UE3RpNfradAoluCQoGoX5IEzCLXb7MXOsSuOK/2K629u8DUQXiecuk3qotFIJF1MIicrh9TLaQWOVRSFnOyC8/GKEhgagCXXgsHXAAqYMr1P/5OVfm0nb/bqnfnDDz/w3nvvYTbn7zI9efIkv/76K7Nnz+a9996ja9eu5drIyuA+5FDS9m7u93s6VOE+kdyT7eNcZSprKOTMmTPVYh5JVbDZbOq/R44cqeLW1HwRERFER0YR72VvnsuFPcfpMPxW8ix5+Ph6vtXi2hUbeOqF8Tw6eTT/e2OOx8eFhAbz0GMjMGYaPZ6KUValfc0ZDAZatmxJryE92br0N4+Pq9+8Ph1ubc/br35Y6P3LF69j4tOPEN2yARkXkwluGEl8fDwGg4GAgAD8/f3VzyRJkvDz96Nz9/ZkZmby119/YTKVLvdeealXtx6PTH2IC8dvZcuybRzaehi79Z/PTtdK05iG0TgcDvLy8vfwaDQafH19SxVEAOSazMiOUKKiI9DqnPkIFUXBYrFUq5Xc7o+5rO1SFIWwqFDCokLR6rRY86wYk43kZJnV8+TlOFfR+gb4YrFY/nmei5jbVxi9j4HcbDOBoYEFUr94ymK2OOf5Sv+896oDh8OB1WolNzfXq88Bb/92Hgd633//PW+88UaRVzuSJJGYmMgjjzzCl19+WS1TqBTH1/efiaM2m63YYMy959LTPX/de/E8eaG5zlFZSXwdDke+YPRaVZ0+BGoqSZLIyzIXmzKlOHaLDVuuBSS4rk3xC6Pc5ZpzmfbaLN6c8QKJCUl8O+/HEo8JDApgzvx3CQkJ4vSZ01Xy9/fmnDabjcuXLzNs4mBMGdn8vulgicfUiavDY+/8i9/3HGblksJz5BkzMtm4fhvtOzYnICKYnFxzgS0BfX19MRgMaDQaNViqLu+XCxcvkJaeRlR0FKNfeIART99Pdka2cwpBdjqKIiNpJCwWS6Gfc65hW5u1dBfWiuLcBi4sItRZj81WbZ6bwiiKUuaE4JJGIjc7D0uuBavFijW38BG97AwTAcH5Vx3bCtkXuCgajfNvozfoPZ47WZhcUy4BwQHVcgjX9ZqpKB4Feunp6UyfPl39OTAwkIEDB9K0aVM0Gg0nT55k3bp1mEwm7HY7zz33HBs3bqzW6VSu5poTB2CxWDwO9DwZhi2s/pK4yrgHoBVJq9Ve8z16UHmBdW2m1WrLnBVfkRU0eg1xTRrQqWtbft/r2dXuqh9/JiIyjOf+O5nGzRoxb+53JFwqmHJFkiRuurkLz746iXr1Y7hwwblgpLL+/mV5zaWlpWEwGBj76hgaXdeIrUt/Iy2x4Hwn3wBfut7ehTsfuYNTJ84yZcKrxW5xFn/xMjd2bU9wTBinTp0q0C6Hw1EguXh1er9YLBbiE+JJTEokODgYnU6HpJOw2az5kusWNoTnCvTKQpGdu0e4gonqOFToeoyyLOPj44NWp/V4pwt3vv7OXT6y0jJLDI6teVasFhs6nQ5ZltXk0R63WVbU/KelSRTuIjsU55Z31fDvIkmSV/GSLMtedcx4VPPKlSvJzc1FkiS6dOnCnDlzCA7OPw/m3//+N+PGjePYsWMkJyezfv167rrrLo8bUtXcH4/RaCQoqOgl2e4LJIrLh1dU/ZmZxS9nt9ls6vC4p/WXVbNmzbzazq02OXLkCDabDb1eT9u2bau6ObWCLddS6i9PjU6L3s+ApNFgt9kZOfYejwM9gPmfLMRmtfHUixO4d+Td7Ny2j59WbcSYnoneoKNR4wYMHz2EurEx2O12dDodLVu29LqdZVFer7mbh/bk1ntv5vjeExzdfQyzKReDj4EGLerTuV9HkCSW/bCW99+ei7WEXhSH3YEhwA/Z4SgxxVRNkpWVhd1uR6vV5rvgLkxZAj6NRoP176DS0w6AymY2m/OtvA0MDSxVXsbA0EDyzHke94DaLFb8g/zVIEvSSB5fDNptdgx/7+JSlt02nPMyNSW+BiqTVqvFYDCg0+m82hLWZDJx8uRJj8t7FOjt2bMHcPbkffzxx4UGQZGRkcycOZMBAwagKAo7duyoUYFeXFycevvKlStF7owBkJj4Tw9BvXr1SlV/cZKSktQ3oqf1C0J1ovfzoc71jbjy53mvj63foRloJGTFOdn7tjtvofftPdn8y3bPzm3Q02/ALUg4P9y79ejIjb06qz3Wri99oEaNOhTGlZi4ZacWtOzkDM7M5lyuJCTx4XufsWrpeo/3ro2ICkfvo1d7T641zl0v/DBnl7w37NV0eh0GXwOZ6VkEV8Meo8JIkkRgaABZaVleBbc6vRa/QD/SrhRcaFEU96BOURT8Ajx/nk2ZOUTWi0CWZQw+BizFrLjNyMhgxdrl7Nm3h8uJl1EUhajIaDp36MyDD43i+vDrizy2NvNorO7MmTNIksRtt91WbE9Xo0aN6NSpE4qicOzYsXJrZGVwT1Lsnjy5MK77JUnyOAoPCwtTt04rqf4zZ/6ZxF6brqyFa4fskNWdLrzV+OYb2PLrDowZzp4GRVH435yp9Onfq8Rj/fx8+fDzt2jX8Xp1RaBOp8s3LUGn01XL4Zuy0Oq0yIrCxvXb6HHDXdx7xyN8N3+px0GewcdA/4G90Ruqz1BsVXBtd+atwNAA7DY7EmVL2l3ZNBoNkbGe557UaCQiYyOxWW2Ysz3fI/zq+YDePM+5plwcdgd2q53A0IAiy/1+8Hf+b9IjfL/4e86eO0tubi55eXlcir/I8tXLGDFyBJ9++qnH561NPAr0XJNyPelduv56Z8SckuL9xuJVqUOHDup8E1cPZmEcDoe6lVmrVq0KDGEXx7WDxvHjx8nOLjpR5e7du9XbNW0Fc2ET8Es7KV+ouTRaDXVaNyKicV2vjou5riExzeuz6JsV6m4YGo0GnV7HzE/f4IPP3qTrTR0KHBcSGsxD44azctMCuvfsVClbcFU3er2Ovnf0IjLa++ket915C4FBRX+JXgskScLHz8ejfVzdabQaAkKcu0QEFpFEuLqSJAlff1+i60eVuDhDp9cR3TAajUZDSrznO5FIkjMxtTps63qevVhRn53hzNunN+jV7dDcnT13llffekX9Xu3WuRsTx03k2SeeY9igYfj4+GCz2Zg5cybffvutx+etLTwat3AtDPDz8yuxrCsZcFUvt/dWcHAw3bt3Z9u2bWzatInLly8XGtiuXbtWDXwHDBjg1Tn69+/Pzz//jN1uZ+HChYwbN65AGZPJxPLlywFo3LgxrVq1KsWjqXyKrGC32ji34yjndx/DnO58w/mHBxHX/Toa92iDzqAv0xwLoWax2+zcOGEgv32wjKxC8mldLaxRDN0fvZOfVm1kz47fCQ7550vT9SVxc58b6dO/FwmXrnDqxFnyci2ER4TSsWtbJEnz9+bx1+5rTFEU/m/CKKa9NsvjY3x9ffjXxAep/vu/VTxFUYiKjSTpQjJ2W8nzzyRJIio2EsWhYMm1EPp3IuaaRJIkfPx9iG1SD3O2mWyjCWveP/M5fQN8CQoNxDfAF5vFRtLFZK8WcAQE+xd4T7qe58QLSR7VZTJmExQWiFarJSwmjKSLyfkWZsz5dLa6SPLfE57g7gF3q/cZ/AYybsI47h9+P1lZWcycOZMhQ4YQEFB1+w9XNo969FyrOzxZlenqFauJyZPHjh0LOBdDTJkypUCweubMGd566y0AAgICuO+++7yqv1+/ftSvXx+AOXPmsH///nz3W61WnnvuOXWxx8MPP1yKR1E1jv20h1XPfcahJVsxXkrBmpOHNScP46UUDi35jVXPfcaxdUX3lApVp6KGmvQGPQkJifR+5j6a9GyDtoiEujpfA81ubcctT93D/r2Hefnpd+hyYwcCAgv2MLmGY2Mb1KX3bT3pP7A33f6/vfuOb6s6/wf+ufdqW5blvffKcPYmO0ACJGRBFmEkFMospaFlhdkyChRK6Q8otIXyBRISyICEEAJZZO/E2V7xiuM9Nax17+8PRcKOlyTL1vDzfr14Ieuec++RovHojOeMHwGxWAyRiHP4g9titsBkNLm04tCbiUQiLL33dtyx7DaHykdEheODz95EYnJct9Nt+AOGYcCyLCITIyDrYq9WsUSMyIQIiMQi1JTXIDQ61KeGbVtiGAYMy0ChUiAqMRLxGXGIS49FQma8vbePYRg01jU59Z5hGCAwpO10L4ZhrL3+iZFd9qByIg7hceHWXnrmas9ifLi9176ouAinz50GAIwYNqJVkCeVSxERG47EpETcecedAKydKZs3bEZTnQa8xbYK2P3/bu2d01OvD9+eiexmEyZMwIwZM/Djjz/ixIkTmDNnDpYsWYLo6GicO3cOq1evhlZr3TLmySefbLMi9tChQ7j77rsBWIdcP//881bHJRIJVq5ciYcffhjNzc1YtmwZFixYgOHDh6O+vh5r165FTk4OAGD48OG4/fbbe+FRd9+xVTuQ/0vnqyItRjPObj6I5gYtRiy9vpdaRtojCAIgCLCYLajJL4NBa4BIKkZIUiSkSvnVdAbd/9I3m8woLSnDiWNnMG/hLciaNx7FB8+jOr8M5mYTRDIJIjLiED+mH8Aw+OqLjXj39X/BbLbgjmXzYTaZu9xtwZmUQLYVtqXFZThy8CR0Wj0CAhQYO2EEomIi7Mf9wdMvP4aE5Dh88sGXqKxoPczGcRwmThuLex+6A0NHZLU6ZjKZIfbgDhfewBbsRcSFw2Q0oalOg2ZdM3gLD5ZlIJFJoFQrIVPIYGw2oqa8FqHR1kTJ3tRDpNc2o76qHga9AVK51NrbyFydCiEStUkBYwtCbP9nGMYeCImlYgiCgJDIYJiN5lY9fp0JjQ6FSNz+nFh7sJcQCWOzEU11TdBrmyFcTYFje57lSrm9vI1YLEZ0UhQ09Rqcv6jF0MHDUFRciMnjpwAApHJrXUWgAsZmI6pKqxAT8ese8yUlpaivsu6DG6BSQB2hbnMNVwmCAIEXoGnQQNuog8VssaZPEXMICFIiIFDR62le+vY7uh1vvPEGtFot9u7di9LS0lb5AwHrP86jjz6KxYsXu3T+adOm4cUXX8Srr74Kk8mEVatWYdWqVa3KDBo0CB988IHXb8nEmy0oPHiuyyCvpfw9p6GOj0DydQPA9sF5VJ7G8zy01Q3I2X4CRYcuwNziA5thGcQMTkH61KGIyOx41bmjRGIRJl0/HvOnL8MH73yCuQtvwcKlc5Bx/XB7meJLpXjvb//Bt1//gMYG63B/UmoCptw4AZybe5j27jqELz/5Bof2HW91P8uyuG7yKNx57wKMmzjSq76su2Ph0tlYdNdc7PppL7Z8+zNqq+uQkp6Eh1fci9CwYBzcdwwrHnwe+blFMBqMCA4JwvU3TcKCpbOhDLQOa/nLc+Es2+MWiUUIjlC3CYiatc1oqGmETCFFRFy41+TNEwQBuSfzsGfDXmTvPdNqBwWWZTFoQhYmzZuA5IFJaKhugF7TbM8tKJGJERgcCKlcan88DNf2MUXEh6O2vLbTxRiciENIVDBkClmnz4vtmFgqRkhUSLtDvO0GiSwDBgwCQwIx/dbpmDJ96tWAChCJxRBLrDn7Gqob0Hh1GlF19a/rBkKuTjETBAGaBi0MzUZExkcArOsBmC1AbqhuQFOdpk3vncVsgUFfi/rKeqjDgxAQ1HtzYinQu4ZcLsd//vMfbNq0CRs3brQvnFCr1RgxYgTuvvtujBgxolvXWLJkCUaOHInPPvsM+/fvR1VVFcRiMTIyMnDrrbdi4cKFXpWItCOsiMPFn453XfAaOduPI3XSoB5oEemMwAsoPnQBRz7/GUI7W+gIvIDLJ/Nx+WQ+0iYPxrDFU7v95SUIPD76/G+4c+5D+OTDVfjkw1XWfGYBcui0+jZJPyMiw/DxF29DEHi4sBV3B20Q8Opzf8faL75t9zjP89i78xD27jyE5Q8swR+efdAt1/U0W2/o5Ouvw/U3TQJgnYZz/HA27rntERQXtt7u7XLJFZw5dQEfvvs/zFt4C5566TEwDLz+B2dPsr3+WwYcDMNArpS3Gtr1hiCvJKcEn7+2ClcK2yYIB6yv81O/ZOPUL9kIiwnFLctvQmRCpP242WSGrkkPsUSM0Ghrqp1rH5ft77CYMJhNZmjqNdA16e3BolgqtvbCXX1uHH1eOirXVX3b8Wu3ShQEARXFlTAZrAu6Gpsa8c231p1yZFIZRo9svXOXyWBCVVm1NdhD+wFmV8E8wzCoLqvpMm0Mz/OoraiDpRvJn51FgV47GIbB7NmzMXv2bKfqjRkzxuEkhunp6XjllVdcaZ5X4C08qvMuo6mizum6TRV1qLxYgrC0WJoX1Et4C4/SE3k4/H/bHJp0n7c7G2AYDF88tVvXFYlECAsPwVebP8bTv/8LDu8/AYvF0m7aj9HXDcPr/3ge6uAgtw6hvvWX9zsM8q716UerIVfI8MDv7/GKL293sAV8ZrMZe3YexBMPvdjpQgOjwYg1n29EYUEJPvy/t7ymt8qTOhp69BYXjl7Ev5/7xOEh1eqyGqz+21rMfXA2kgYktjpmMloXXETEh0Mik3QY7InEIgSFBbVZgOLp14sgCNBr9NA2aVFRWYH9h/Zjw6b1qKm1Lgh74DcPIkgV1KaeTCH7ddi1XgOdRg/eYgEYBmLJrwFsR0FgY22TUzkYG6obwAt8r8zbo0CPuMja++Oq0hN5CEujZNC9RbDwOPbFz06trMzbdQpJ4wZAHR/ere3xRGIR1CFB+M/qd1FUUIIvPv0Gxw9lQ6vVISBAgeGjB2PpvbchKSXBrfPkeJ5H8aVSfPHfr52q969/fIb5S2YhIjLMLe3wBjzPo6y0HE8+8rJDq0kB4NC+Y/jri//As3953KuCGtJaSU6JU0GejclgwsZ/fYclf1zYqmcPsAYuVaXViE6J6rRH1xsDYIZhcOzwMdz38H2t7g8JDsHD9z+MyROmtKkTGhUChUqBusp6aBs0bbZoMxvN0Gv0EIlFCIkMhvTqFnAtNdV1nDKtI2aTGayo5zs7nPpEXb16NXbu3NlpmZa7RtgWJnSGYRh89tlnzjSDeAGGZWHQNrtc36htBtNH99btbba5lCYnvwgAIHfHCYy+Z0a322AL3hKS4/D0S4+1+vKwWCz2QNKdPXmCIODLT9c5XY/neXz12QY8vGK53yzOEATgfx99BYMTm8kDwIa1W/DYk/dDFdRxonziOYIg4PPXVjkd5NmYDCZs+XQrlr1wd5vAhed5aOo1UIWoPB68OcNisaC09HKb+xubGrFrzy6kpqQhLibOfn9QWBAUKgWqSqvQ3MmuG4A1MKssrUJYTCjkSrl9yzxdk96lfXh5Cw8BQo9/zjh19pKSEpSUlHRZzvaisCUW7oinu3iJ6wReACd2fe4OJxZB4IV2J/sS92JFHPJ/Oe1S3ZJjuRi+eCrEcvfs3ckwTJsegvZ6DGybnwNAU6MWgsAjMFBpHeoX2mbab4/FwmPzhm0utXP9mu/x6B9/41Jdb2Q0GPH9xp+drmcymrD2i29xz28X9/nVuN4o92Reh3PyHFVdVoOSnFIktLMAS1OvhSrE8U0BvAFv4RGkCsIjv30UwWo1Kquq8POun1FwKR97D+zFiewTeOuVvyE9NR0sx0IVEoi6yvoug7yWaq7UICoxCiKJdUWxXuP8tnk2xmYjJBLnknQ7y+EuFVuuGXf+R3yYIEAd6/rQVlBsGL0GelHDZccz2bfEmy1oqqx3b2M6YXtNFBWU4LXn38X4QTMxaeitmDxsDsYOvBkrV7yGc2es82D5dhaUtFRdWQOtix/AtdV10DRpXarrbXiex56dB6HXOb5lVUs///ALBXleas/GfW45z8ndp9q932K22Bc0+JKsAVmYO2suJk+YggXzFuDDv3+ImTNmAgC0Wi1ef/t1WCwWKIOU4C08tA3OvdcFAWhsMVTrSm/er+cSgB7u73Do3fv666/3bCuIz2FFHJKuG4jsjftgMTo258eGE4uQPH5gn9ymyhN4i6VbQbWz/74dsU50/vUD0Zqk9dffmrZevBeffBPffbO1TX2jwYjvN/yE7zf8hAlTx+CdD/8MsUTc4Rwik4Nz0TpiMvneF1x7LBYe9bUNLte37TlMvIte24zsPa711F8r50SuPd/etXwtqbg1nyFazbNjWRa/e/AxnL94HgWFBSgpLcaxk8cwd8EcaBu1Ln0+6hp1v6be6dbIJNPju9I4FOjNmzevZ1tBfJJIIkLCyExc2n/WqXoJozIg6uObp/cmluPAiUWwuBj4SAK6N2wr8DwYloWpSYumosuwGIxgOA7yiFAoYyMhWHgwHAsGDFY89AJ2/Liny3Pu3XkI992xAp+s+QdYtv1tz4LUrs8rY1kWykDf2re0Iwxjfa+6SkLvVa9UX1XfZa+2o2wrTdsL9Hxt20pr+htFmxWwHMfhphtvxgf/fh8AcP7iOdwuvq3TfICdsa3uVQQqIJGK0ezinHVOzHlHjx4hHRk8fwIqL5ZAW9PoUHlFqAqD50+E9SeMb32A+CpBEBAzOAUlx3KcrqsIVUEVHdqta2suV6Dm1AVoyyraHJeolAgekIbQrAyUFF3Gnp0HHT539vGzePevH+GJlQ+126unDg7C0JFZOHn0jNPtHj9lNKTSnp0301tEIhEy+qW6XD8lPcl9jSFuY9A7PqfMER0t6BD7YKAfGKxsN9VJXOyvizDqG+oBdG/YlbfwgAAo1Up7YmanMNYfUj29VoGWPRKXMSwLsVyCKU/cDuXVLWQ6o4xQY+qK2yGWS3pkxa3A862GBgW+d3IUeTtBEJA+bahLdVMnZLWbXNlRVcfOoPiH3e0GeQBgbNSg4uBJFH6/E9ExkXj17Wec+tD79usfYO5gaMlkMmPx3a6NRtyx7DaYze4ZsvYGWUP6Ib1fikt1F901p8PnmHhOe71v3SGRtf1hIw+Qef0Umw0bNuCxxx7DvHnz0NjYCIZhIJVLoQiUtylrMv4azCrkCgDdG3W1DttaU0h1tTdye3prVT8FeqRbWI6DPCgA01cuxdAFk9oN+JQRagy5fRKmr1wKuToArJsz7dt+kTXX1qP8wAkUb9uL4p/2ouLQKRivbqsl9GIWcm/DsizCUmMQnBjZdeEWxHIpUicNdunfS+AF1Jy+iKrjjg3r665U4fJP+zB95hTcPMfxvZCbGjXYvH5bu/PpxGIRps+cioSk2HZqdixzQBqumzjKb1KrANb5hovumut0vbiEGIybOAoiL/+y74vU4epu5bdsiWVZKNVtpyoogwO9/sdyTk4OfvzxR5w7dw4HDhwAYP1xGxoVat+hw+Z8zgX7bVvvXnemEYmlYvv1giOCnfr3EEtEHe4D7G4U6JFuYzkOIqkYaZOH4JY/L8MNTy/G2Ptuwdj7bsH1Ty3GLX9ehvQpQyCSit0e5AmCAG1ZBfLX/4iC9dtQezYXTYWlaLpUiprTF5G3dgsufbcd+urabvVM+TrewmPiI7OhCHFs3hon5jDhoVshkrn2IchbzKg44vgeyACgLatAw6VSLF12m1P1Du8/3nFQJgj41xdvIzQ8xKFzRcdG4sPP3oSFb92DZe0tFmAxmaGr00Bb2wjz1dWI3Rn66S1isRjzF8/E8FGDHa4jEnF48a9/7PaiFtIz5AEyDJ7onq0k04eltekhVATKIQ/ofK9abzBx4kT7bdu+8baetrDYMARHqCESi9DY1IitP/0AwNqTNmr4aDTrDAhsJ8B1hFgiglQute8JLRJziIgPdyj1k1gqRkR8RK/NXqJAj7gNe/VXf0hSFOJHpCN+RDpCk6NaHXMnQRBQdz4fxVt/QXN1x1ux6cqrULhpB5qKyvpssMdyLCQBMtzwzBKEpXXewxUQpsKUJxYgNDXGtd48C4/6CwUQXBjuqz+fj0HDBqDfwHSH62g1ug6/jERiESKjwvHV5o8xcuzQDs/BMAzGTx6NrzZ/3GoLNvtG5WU1OPL5T9i44l/Y/Mx/8P2zn2DDHz7A3g+/Q1WuNTmruybG9xSGYfD+/97AsJFdBwdSqQRvvf8SRo4dSqlVvNjEuePdcp6hk4e0+luulCM0OtTre/MAYOzYsejXrx8A4ODBg/jvf/8LAPYATKlWQhURiNffec0+L2/e7HkYOGwAZAopZAEy+zaBzlCqla2eH9tev9HJUQgKVYFrJ+ATSUQIjlAjMiGiV7f/pHcw6RE9/SuQt/DQllXgyr5jrdfRd0DgeZTu2I/k2TdAFqruk7tysBwHiUKGaX9cgPrL1cjdcQLlZ4tg0hvAScQISYpE+pQhiByQCIHnXf4gYjgWdRcKXKqru1IJXW0Dps+cggtncx2qowiQd5p8XSwWITQsGJ+s+QcK84vx5afrcOLoaei0egQoFRg1dijuWH4b4hJiYDFb7HOSbOlgDn22DcWH2+5hLfACyk4VoOxUAcJSYzDhkTlXe62987XFcRxkcin+u+ZdrP/qe6z5v43Ivdj630mukOOWOTfgnt8uQlxCTKfbXxHPSx+ahuikqG4lTQ6LCUV8hnUYUyqXQKkORIBK4TMbGrAsi9deew1Lly6FXq/Hm2++if3792P69OkIDAxEbm4uvv76a1RVVQEABvQfgGeee9Y+J1EQBIREBaOypMrha0pkEijVynb3AeY4DqpQFVShKhh0Bmt6mqvz+KRyqUeeVwr0iE9iORaVR7IdCvJsBAuPymNnkHjTpB5smXezBSFB0SEYufT6NgEvb+Gtv4S7+QVvbNS4XNek0SIkLNjh8sNGDoLZbIZY3PEwMwMGDfVN0On0+ONzD0Mq+3WYSqfT41JeEVTqQCgUil8rCcD+j75HWXbXQWt1fhl2vv01rn9y0dX8gN75BWkL3OYtugUL75yD0yfPI/diAYwGI9TBQZh0/TjIpFKAgdvmf5GewzAM7nr2Drz72P9zaRs0iUyCRU8sRFh0KCQyCcRSsb2XyheCPJuBAwfi448/xuOPP46amhrs3bsXe/fubVNu4sSJeOeddxAQ8Ov73LZ4Iyw2DDVlNV32YkpkEkTEhXdaxvbcyQJkbZ5PTzyvFOgRnyPwPJpr6zsdru2IpuQKTFodxC3e6H1RRz2a7uqN6tYQOc9D7OBCCLlCjrkLb+k0yON5Htu27MLzf/wrjAYjFAFyRESFIyBAAa1Gi4orVdDrmyGVSvDau8/h+psmAryAvF+yHQrybBouV+Pk17sx4o5p8PbUQbbnK2tIP/TPSocgCOA4joI7HxSfEY/7X7kX/37uE6eCPYlMgvv+shyZw63TJDwZiLjD6NGj8cMPP+DLL7/Ejh07cOnSJRgMBoSGhmLYsGGYN28eJk+e3G5dhmEgD5AhKikSTbVN0Dbq2gR8YokISrXSvmjF0efJG55PCvSIT6q/eMm1ioKA+pxLCB3cz+0LQ8ivRHIZzC5uucXKpGiodywv463zp0PSSb47s9mCn7fuxtOP/cX+wa3T6lGYX9ymrMFgxB8ffhGfrft/GDoiC3m72t8WqjNFhy5gyO2TIG4nVYU3YhjG7auLLRYLGIahoLEX9RuZicffexSfv7bKoWHcqMRI3L1yKeIz2u5v68uCgoLw8MMP4+GHH3a6rnVBhQjBkcFQR6ih1zSDv/paFkvFHht2dQcK9IjPYVgWJq1rQQQAmLV6n3yz+gqB5xGUmoCa023ntXVFolIiMCochw+c6LJsRv9UPLHy4U7zYOm0Ojy/4nWHJ5ULggBNoxYVF4qhcWGPX4vJjEv7ziBt8pAeWYDkrcxmMxiGwZEDJ1FVUQ1OxCEpJQEDBmXAZDJ12uNK3CM+Ix7PfPok8k7m45eNe5G953SrBUIsx2LguAEYO3M0UgenICAgwIOt9U4tezUVgfI2ef199XuDAj3im7q1tWDP7y3YpzEMQrIyXAr0ggekob62Hr9sP9BpuaEjs/D+p29ALBF12HNkMpmx9otvYTA4N3cpKTkOVdlFTtVpqSr3MjKuH+5yfV9iNpnR1KTBl5+uw7rVm1FTVdvqeHpmChbeNQfzFt0CjuW8Pvmur2MYBunD0pA+LA16bTMaqhvQrGuGTCFDUFgQBIb32V6p3mZL0eIPKNAjPkfgeUiUrv8aFSsVECD4y3vY6zAMA0lgAIJSE9GQ73jAJAqQI7hfKjiJGP9b+x5WfbYeP2/9BearedxYlsWEKWOw5J55GDdpFIxNWrBMx8ODIo7DN6s2Od1+RYAcVc1tEzA7ypZfz9+ZTWbkXMjHw/c8idqa+nbL5F4swKvP/R3rv/oeH33xNygDlZR8uZfIA2RtEgbrdG23BSP+jwI94nsYBsH9Ul3qMQLDQJ2ZQvPzepggCIiZMhomnR66K5VdludkUiTeNBkmrQ6lO08hKT0Jf33veTTrmlFTXQuBFxAcqkZgUCAaSq6gdPt+mBq1SL1tRofnrKutR1mp82kndFo9xC4migYAkdT/hynNZjNKS67g/jtWoMmBFdbnz+Tg/jtW4PP171OgR0gvo0CP+ByGYSANVkERGQZdRbVTdVVJceA8sFm9NSebAIZl+sSwiXXYg0XSzCkoP3gS9RcKwHewd2xAbBRiJo4EABRu3gmTRgtNURkqAhRQJcZYU6EwDDTlVSgvuWLf1g4ALAZjh/+een2zS23PzytCemqMS3UBIDw9DrzZ4tdz9EQiEV5Z+bZDQZ7NxXN5+PRfq3H/o3e5lKCWEOIaercRn8RbeESOGYLCzTsdTuXBikWIGDXImnuvF4It3mIBy3HQVjeg5lI5LEYzxAopIvvFQySVQIDg1ysTGZaBIABRY4chctRg1F0sgKa4DBaDEYxIBHlYMEKy0iEJVEJTWo7SnQdg0Rvs9c1aHWrP5XV6DYvJ1GGgpwhou6m5I77+8jv8v0//isDIYDRVOJfCh5OIkDx+oF8HeYIgoLS4DIf3d71g5lrrVm/Gbx+7pwdaRQjpCAV6xCexHAt5RCjipo1D6Y4DXQZ7rFiEhJsmQaJS9viuGLbJzlfOFCJ3x0lUXixpdZwTc4gfmYmM64cjKCbEb3bp4C3W3TT09Ro0XK6G2WSGLFCBkKQogGMR3D8VoVkZ9vICz4O38Mj7+gcYGzVQRIXZgzZLswG6imoIXewjy3aSGiQ4RI3ktERcynNuYcXeXYdQXVGDtMmDcWLtbqfqJo7pD5HEvz9WeZ7H6v+td6luZUU1ftmxHxOnjnV7WhdCSPvonUZ8FsOyCEyKRfKc61F59Aw0peVtd8pgGKiS4hAxalCvBHmANdA79OmPKD58od3jFpMFhQfOoejQeQxfPA0pE7N8ejjXFthWXChG7s6TqDhb1CqdiTRQgZTxA5E2ZQjEcgl4nodYJoUA6x7IIVnpCEpJACeVtFoRaNY3o+5iAerO58PUpG1zXVGAotNheJPJjIV3zsEbL73n1OPheR5FhaUYPnUoKnNKcflkvkP11HHhGLpgEvxmqV4HOI5Drqt5LAFcPJeP8ZNG07cPIb2E3mrEpzEsC1loMBJvngyTRof6nEsw6fRgAIgDA6DOSAEnkwCC0Gs9Z0f+76cOg7yWBF7AsVXbIZKKED8y02v3SO2Mbe7hwU+3ouRo+4tjDE06nN96BLm7TuG6+2ciNCUKp9btQcKoTATHh0OVFI/qU+dRn1sIs846r04cIIc6IxnB/VMRNqQ/Kg+fQvWp1s9pSP/UTofhxWIR5i26BR+884lTc8lUQYEYOMS6Sfq4+2fiyOc/oejg+U7rhKfHYsLDs8FynNduf+ZORidT1rSp6/9PESFew/e+WQi5hi2AEysVCB3SD9HXDUfUuOEIycqASC69uvdoz7/UeQuPypzSLoOCax1fvbPLIUpvxTAMDnUS5LVkbjZi74ffob60CmmTB2PHW2uQv/cMOKkY+uo6mLV6a+AmCDBpdKg6fhY5qzah4uBJRIwegohRg3+9LssieEBal/+uErEYf//oLw5P/hdLxHjvP69BxHH2PWvHLJuBGc/fiZQJWeBaDMsyLIvYYWmYsuJ2TH1iAURSsU8G664IUgd2sy5FeoT0FurRI36lZdqU3v4qYVgGuTtPOl3P1GxE4cFzSL7Otybx8xYLrpwuRMnRHMfrmC04/NlPmPnKckRnJeP4qh0QyySImzYOuas2tV2ZKwioOX0R5mYD4qaOhbGxCfUXLyF6wkhwkq5XT4vEIowYMwQff/E2/vDA851urRYcEoS/f/wKhgwfCO7q68g2jKyKDsWIO6Zh+OKpMGqbIQgCJAoZWDEHgb+6abmfzLXsislkwrSbJmHXz/udrsswDG68ZQrEtOqWkF5D7zZC3MSobUbZqQKX6ubvOY3USYO7LuhFWI5DUGwo5r37MDixCOZmI+pLqpD3yylcPlnQ4QIZbXUDrpwpROrkwbh8Mh8n1uxC3LA0BKUnou58+/PhGnILoYgIRfjwLMgjwqDOTHZ4XiPHcRg6IgvbD6/D5o0/Yc3/bcD5M7n24wMGZWLxPfNwy5wbwDKMPchryTocy4BhAVlQ62TdDNe3eqfEYjFumXMD/vaX99HYItWNI8ZOGIGYuKgeahkhpD0U6BHiJk0VdQ6nerlWY1mNm1vTc4Srw6sCz8NYVY3G87XgzRZwEjEC4qIx7v6ZaG7Q4tz3h5C/53S758j/JRsTHp4NebAS+joNSo7mILJ/WoeBHgDUnMlByMB0BGemOL14xTZ0e+v8GZi/aCaamw1o1hsgV8gglUpgMpmpl8kJHMtiyT3z8dF7nzlch2EYLH/wDpjNZlpxS0gvoncbIW5iMbWfENgRvIW3J1T2NNsXcXOzAVqNFhKJBAHKAFgsFog4FrzFgsrD2ajPuQT+msdcey4P4sAAhGZlYMTS66GMDMapb35pc436kioAgEIdCH2dBvl7TyNp3ABIg1Uw1LU/vGpsaILmcgUCosPh6sC8LZiTyaSQyaRt7ieO4UQcHvrDMuTlFGD71j0O1Vnx7EMYfd0wv84dSYg3ok83QtxEqnQtQS8AiOVSjwd5ZpMZLMdiz46DWPW/dTi077j9WGxcNP6z+h1EhoegcPOODoMxADA1aVF+4AR0lTXImDYWRm0zzv9wuFUZW1DMSazDpE3l1sTEIrm803NrisugiAqjqfxe4u0P/4y/vfIB1n7xbYcrcdXBQVix8iHMue0mj7/GCemLKNAjxE2CYsOgCFVBV9NxoNKR2KGpHu3RM5vMqCivwkN3/wmFBSVtjo+dMAJR0REo/G57p4FYS435xSiXy5B16ziUHL0ITVWD/ZhYYe1NM+mtwQF/ddUx08WqVYvR6NM5B/2JrWfuj889jAd/fw++/vI7/PDddtRU10HEcYhLiMZtd9yKGbOmgmVYCvII8RAK9AhxE4HnkTohC6e/dX41Yvq0oQAEeCLthMlkQk1VHZbOfQi11e1v+XXH8vloKChBc41zW4LVns1F6KBMpEwchOz1e+33xwxKhqnZaN9iTKqUAbDuXdsZViSyPk3Ea7AsC1VQIO6+fxF+8/DSVsdo7iMhnkeTJQhxE5bjkDppMCQKadeFWwjPiENwfESvp+fgLTzMJjPEYjGeeOiFDoO8ISMGIr1fKurPd77vbLsEAfUXCpAyPguc+OpqVgZInTwYRYfOw2wwAQDih2fAbDCiuba+09PJwkIozvNS7QV0FOQR4nkU6BHiRiKZGBMendsqsW5nAiODMf7BWeBdXK3rKoEXUHo8B2WnC3D21AWcPtlxkufJ118HbU099JWurQyuz7kESYAMoSkxAICYQSkIjAhG/u5sANbVmKmTB6Eh5xIEs6XD83BSCYLSEvpMUmJCCHEH+sQkxI1YjkNIYiSu/9MiqKJDOi7IANGDknHD04shkkp6dSUiz/MoPHgOJ9bsRuzgVKzqYoN6dXAQzFqdy9cz6fQAAIlSBlVMKEbfMx3FR3PQcDWlTPzIDASEBqH2XOc9huoMx3PnEUIIsaJ+dULcjOVYqGJCcNOLd6Mq7zJyd5xEXXEFLEYzxHIporOSkD51KALCgsDzfK8GeYIgQFPZgKNfbEdIYiQ4EYfDB453XdEN11XHhWPEHdejoawGRz77EQAQmhqNUXfdgNpzuTB2knxXGhKEiJGDOtzX1lsIFt6+oKTVbZ7vMztnEOJNGhsbMXPmTFRWVmLevHn461//6ukm9ToK9AjpAbat2EJTohGWGtOqJ4q38PYViL2eU0wQkLv9OASeh0gmBgDotPpOq9TXNUAUoHD5kiKFHAzDYMDNo1FyPBeHP/0RggAkjx+I4YunQltajiv7Og42ZeEhSLx5MhiO9doePVui7MbCUtSezYWuohoQBDAsi4CYCIQMzIAyIRrghS5XFhNC3Oe1115DZWWlp5vhURToEdKD2gvkPDnHzGK2oOjwBQCwL4RQKORoatR0WOeXHQdw3yN3Qh4R6tI8PXVGEiwmMw5/tg26miYMmDkGqRMHWVOs8AIsRhNkYcForqptVU8eGYbQgelQpcQD8N69ZAWeh76yBiU/7YNZ39zmmKa0HJrScogDlUi8aSIkQYEQi8UwmUxOXaflClae58HzPO0wQUgndu3ahQ0bNni6GR5HnxLXMJlMWLt2LTZt2oTc3FyYTCZERUVh/PjxuOuuu5CSktLt8w8bNsyhD3mJRILTp9vfQooQV9Tkl9kDPG11A3gLj2GjBmHrph0d1jl59AxyL+QjtH+q84EewyBkYDo4sQjj7rsFAMBbLPYeT3AM1GmJCM5MhrFRA5NGBzCAWBkASWCA1w95CjwPXUU1irbsgmDpfEGNqUmDgo0/I3nODUhOSsK58x0vgLGxmC3gRByqq2qx9vONyM8thNFgQlCwCjfePBkTp42FxcLT6lZCrtHY2Ijnn3/e083wCvTp0EJdXR3uv//+NsFVUVERioqKsH79erz88suYO3euy9coKChw+pc8Ie4gCAKMOoP97+ZGHS5nF2Dx3XM7DfQAYNX/NuC5Vx5H3ZkcNNfUO3zNkAFpECta7xhiD/Kusg1lSlRKSFTK1se8OMgDAN5sQfGPe7oM8uzlTSYU/7Ab6UtmITg4GE1NHc9LNJnMqK6swV9feg+/bD8Ai6X1iuTvvtmKqJgI3HP/Iiy99/ZuPQ5C/I1tyFalUqGx0fkk9v6EAr2rLBYLHn30UXuQN2TIEMydOxdKpRLHjh3DunXr0NzcjJUrVyI6Ohpjxoxx6ToXL1603165ciViYmI6LEt7QhJ3YhgGIqm41X0Fv2Rj8u/nI6N/KnLO53dY99tvfsAts6dh0PSJKP1hNwz1XX9wqlLiEXXd8G6321sJFh51F/LBG50cgtXq0HCpFBGR4R0GeiaTGUUFJbhvyeOo7SSwLi+rxBsv/xO5Fwvw0htPOtUO4t80TVpUXKmCTqeHQiFHZHQ4WM4757i6W8sh2yeffBLPPfech1vkWRToXbVu3TocPXoUADB79my88cYb9kBr9uzZmDVrFn7zm9/AYDDg5ZdfxubNm10KxGyBHsuyWLhwIWQymfseBCFdCE6MBMOy9sUDFReKUV1Ujrf+34u4c97DHc7VM5vMePyB5/Gvz95E5q3TUHPsDOpzC8Ff3bO2JbEyACFZ6Qgb3A+C4L/pjRmORV0nwXFn6s7mIjn1esjl7e+PrNPq8MCdT3Qa5LW0/qvvERkVjgceu4fyDPZhgiDgyIET+Or/NmLntr2teoE5jsPkG8Zh/uKZGDFmiAdb2bNaDtkuWrQI48aN83CLPI8+Ea765JNPAABBQUF48cUX2wRxo0aNwiOPPAIAyM/Px88//+zSdWyBXkJCAgV5pNdJlXLEDE7+9Q4BOPCvzQgPCcb/vv4nIqPCO6zb1KjBb5b8ATkXLyHquhHIvHMuoieMgDozBUGpiQgekIaEGRORvmQWQgZmAIDXrpJ1B5NG12lKmM7oyqvAm83tfgaYTWZ8+ck3qHJyPuT/Pl4DQxdbyBH/de50DuZPX477lvwBP/+wu81Qv8ViwY4f9+LR5c9g6eyHcO50joda2rNsQ7bR0dF48knq5QYo0AMAnD9/HpcuXQIA3HrrrVAqle2WW7JkCbir84u2bt3q0rVsgV5GRoZL9Yn/EXi+Tc9Xe/e551oC0qcNa3Wfvk6D3W9/g3BVEDbvXoWX33wS/bNavz4DVUrc+ZsFWL/tUwwYnInyQydQeTQbiqhwRI0bhtipYxAxchAYkQilOw7CUFvv8Lw1X2Vxcsi2TX2T2f550hLDsli3erPT59Pr9Ni4dgvNAe6DDuw5guULH0N+ziWHyhfkFWH5wsdwYM+RHm5Z72o5ZPvyyy93+F3e19DQLYDDhw/bb3fWzatSqTBgwACcPn0ae/fu7bBcR+rq6uz5fCjQI7aEurryatSczUFzVR14sxmcVAJlfDRCszIgUSnduvKU5VhEZMQhfepQ5O48ab9fW9OIHW98haSx/TFl0mjMWzQT1RU10Gi0kEjECI8MAwQBjXlFKFj3Iwx1DQCAmg56BcxaHZJnX++WNnsrVtQ2SHO2fntb3x3ef9zp3jybzRu2Ycmy+d1qF/Et507n4PHfPg+9rvN8mNfS6/R4/LfP49O172HAIN//Pmo5ZDt37lxMnjzZwy3yHhToAcjNzbXfTk9P77RsWloaTp8+jYaGBpSVlXW6mOJaOTm/finarlNbW4ucnBx7Gpe0tDS/Hu4iVgLPo7muHqXbD7QZ/rM0G1Db0ITaMzlQxkcjbto4sGKRW1egDl04GQzLIGf7Cft9ZoMJebuzkbc7G+Hpsci8cQQSBiSi+tR5VOYXo/FSSbtz8tqjK6+Cob4RkqBAv309i5UKcDIpLM2GrgtfQxIUCE4shtHYeqjVYrag4kqVy22qrKh2uS7xPYIgYOWK15wO8mz0Oj2ee+I1rPvxU59/n9qGbMPDw/Hss896ujlehQI9AJcvXwZgXSARHR3dadmoqCj7bWcDvZYrbjUaDZYtW4aDBw+2GqKLjIzEfffdh6VLl7Y7rEN8ny3BbuGWXRDMlk7LakquoGDjT0iZe6Nbgz2GYTB0wWQkju2P3B0nUXI0B5YWQZyurgnBCRGozy1E1bEzLl2j9lweosYO9fpty1zB8zwYAOrMZNScuuB0/ZABaTA0N0OjuWbxCwOwrOvPF63U71uOHDjh8HBtR/IuXsLRgycxatywrgt7qZZDti+99BKCgoI83CLvQoEerL1qABAQEACJRNJpWbVabb9dX1/v1HWuTa3SnoqKCrz66qvYt28f/vGPf9CCDT/Em8zW3GtdBHk2xoYmFG/bi+Rbp7m9LUGxYRh1140YvmgKNFUNMBtNkATIEBgZDIHn0XDRtcUGAGBs1Hh9HjxXMQyDPTsOYtSIgajJvgg4MZ+SEXFQZ6bgSmVFm2McxyEuwfEfj9eKiY10uS7xPWs+3+i28/hqoNdyyPaWW27BDTfc4OEWeR8K9AA0N1u3LZJKpV2WbRkI6vXOdZe3DPQCAgLw4IMP4uabb0ZkZCSqqqqwbds2vP/++2hqasKuXbvw0ksv9doGzHl5eX22N8A2ed1kMiE7O7vHrsMwDPplZqL+XC4sTq6O1F2phK6qFkYRg+KSEre2SyQSQa1WQywTg5FL0MybUVtUhNjoGIDvxoKQq/PPzpw50+5cNF+VlJSEw/tO4L03/411P36KyLFDUXHgRNcVr4qdPAYCy6CmpgZms7nVa06lUmH46MGIS4hBaXGZ022bu/AWaJo0KLhU4HRdf2U2Wxe9MAwDnU7n6ea4jVajxY4f97jlXNu3/oKqyioEKAPccr7e9Oc//xmVlZVQq9V44okn2vwb277fAetrwZteAxaLBUajEXq93qnvHmc/T30+0Nu5cycefPBBl+pu374dcXFxMJutQ1Zd9eZdW+ba5etdsS3EUKvVWL16davt1GJjY7F8+XKMHz8eixcvhlarxYYNG7Bo0SIMG9bzv7QsFovTj8cf9eSKxeDgYIjE4m7lXoueNApCcbH9NesOJpOp3R8tkeEREClc71Hm5DIIggCDwfk5bN5KLpdDpVJh9WcbUFhQgpUrXsOb/+9FQBBQcfBkp3UZlkXM5NFQJccjNy/X/m/Y8jVXU1ODiIhILLxzNt557V9OtS1IrcLNc67HlStXaOVtB/wpr2PFlWpY3LSy3WLhUVlejaRUhVvO11v27NmDTZs2AQCeeuopBAcHt81g0MXf3kAQhB59z/p8oOcOtuFRR57olpOnxWJxJyXb+uWXX1BfXw+j0YiIiIh2y2RkZOCxxx7D66+/DgBYu3ZtrwR6HMf1+R49wPl/U2cEBgZCX1Nn3c/VBY2FpYidMgYqlarTrbPcRaPTIig1ARWHs50amrQJSkuEpknTo89pb1AqlQgODoZMKoNEKkFpcRmOXO3B27ppBxiGwStvPwN5bCQaLxSgPqcQfIvXFCeTIjgzBarMZLBSKRiWaRX8Xvv8NDY2YOGdc7F+zRYU5hc73M5H//gbMAyDpqYmn3/O3anljyJfX3DQkl7f3HUhJ+h0zT73/LTMZ/vMM8/gmWee6bT8pk2b7IHhAw884HInkbsxDAORyPFwjOd5pzpmfD7QS0hIwL333utS3cDAQACAQmH9FeNIz0PLQM+Rod5rtZzj15HZs2fbA71jx445fQ1XpKWl9dmcQ9nZ2TCZTBCLxRg8eHCPXktTWu5yXd5ogiAISE5O7rqwGynjo6FxchhRolIiMN66sKmnn9OexPM8WJbF2ewL+HHzTkyfORXlZa3n1v3w3XbkXbyEO5bfhlnzbkTYyEHQ19RDsJjBiEQICA9Bs96AdWu3YOumHfhi44dQKBQwGo0dvubMZjP+/eXbuHfR4ygputxlOx96fBkW3TUXAJCVleWWx+4vcnNz7cO3ts96fxASEuzW84WGBvvc8+NMcHQtsVjs8cfLcRwkEglEIlGXGT9a0mg0raaCdcXnA73U1FQ89dRT3TqHSqUCYH3yzGZzpy+elgswQkJCunXdjoSEhECtVqO+vt4+3Ev8Q3dyrzEs2+u/uAWeR/iwAdCUXHGqVy9s2EB7nkBfYRvSEcxm6CprYDGYwIpFkIaq0W9gOq5croCh2dDu7hO5Fwvw8tNv4Z3XPsTNs69HQnIcFAo5tBot8nIKsW3zTuj1zQhUWX9MdfXvKBKJEBoWgtWbPsIH73yKTet/bHd7usHDBuDeh+7A1BsnuOEZIL4kMjocHMe5ZcqNSMQhopNdcbzVXXfd1eXii5qaGrzwwgsAgDFjxuDuu+8GgF7/wexJPh/ouUNSUhL27t0LnudRUVGB2NjYDsuWl//aI9NZue6ioRf/JFGrrOlGXBgKlQb3fsoAhmUhDw9B7JQxuLzrkEPtDhs2AOqMJJ8aBhIEAYa6RtScvoiG/KJWK6IZjoUqOR5jhvaHMjIcBXmFHZ6nqVGDtV982+HxILX1R6UjX84isQiBKiX+9MIj+MOzD2LLxp+Rl3MJRoMRQcEqzJg5Fen9UmAymcF0IyUL8U3KwABMmzEBP23Z3e1zTZsxEcpA31uIMXDgQAwcOLDTMqWlpfbbMTExfXJVLgV6sPYK2uTl5XUawNmSKwcFBSEy0vFUBhcuXMCBAwdQXV2NG264odN5d0aj0d5zGB7ue7+ySMc4qQSqpFg0XirtuvA1ggekeaSXjGFZBKUmQiSXovzASfuuGNcSBygQPmIggvultnvcWwmCgNozOSg/eLLdQFaw8GjIK0JDXhHChw9E6shBWHLPfKz+bL3T15o2YwLMZovDC1QYhgHHceA4DrPm3wgI1vt4gbePPIjF9DHeVy26a65bAj3bsD/xT/QJAWD06NH22wcPHuxw65TGxkacP38eADBq1CinrpGTk2NPlWIwGDoN9A4fPmxfIDBkyBCnrkO8nCAgJCvD6UCPlYihTk/y2FAowzIIiI5E2oKboauoRt35fBibtIAgQCSXQZ2RBGVCjEs9lT2FN1taDZVf+zdg3fu37mI+yh1Mj1J1/CwYlsVTL/0Oh/YfQ0FukcPtYRgGdyy/DRzHupRuhnr5ybVGjRuG1IzkbiVNTstMxsixQ93XKOJ1fGcCTQ9KS0uzpzrZsGEDtFptu+W+/PJL+5DLzTff7NQ1xowZY1/V+v3337fNiH+VIAj46KOP7H/PmTPHqesQ78awLAKiI6DOcG5+SMyEkR4fnrMFmfLwUMRMHo3kW6chefb1iL9xPJTx0WAYxuMJkgVBAG/hYTGZUXjwPA78ewt++edG7PtoM3J2nIBJb4DAC/ZAy2I0onzfcaeuUXn0NMwaHe5cfrtT9abNmICY2CifGtIm3o1hGLz6zrOQK+Qu1Zcr5Hjl7WfpNennKNC7avny5QCAuro6PP300232oDxy5Ag+/PBDANa5edOnT3fq/JGRkbjxxhsBWHfieOaZZ9pcg+d5vPrqqzh8+DAAa6/hhAk0ydofxUwahaD0pK4LMgxiJo2CKjXB40GUDcMybb4Y2mubNeiyQOB58Bbrfz1J4HkIPI/TG/fhuyf/jaNf/IySYzkoP1uIyyfykL1+L7578mMc+fwnWAwm8BYedefzILjQu1Z7NhfzFt0ClTrQofL9Bqbjtb8/51eJo4l3GDAoA+9+/Bengz25Qo53P/4LBgzK6KGWEW/BCN6YPdADeJ7HokWL7NmpMzMzsWDBAqjVahw/fhxff/01TCYTGIbBxx9/jEmTJrU5x/r16+15fObNm9dmV4uysjIsWLAA1dXWjcdTUlJw++23IyYmBuXl5di4cSMuXLDumxkeHo7Vq1cjPj6+Rx7vtcuzMzMzKb1KL6RXsREEwZrzrOgyas7kQnu5ddoVhuMQlJaI0EGZkKoDvSbIc4RtHqGusgZNl0pgMZjAcCxkYcEISku0BolM22CxW9cUBPBmC355bwOqcrtOR5I8IQuj7rwBOau+cymvISeVIOPOuSjIL8Kjy59GWQdpc1iWxfU3TcQrbz8LsUQM0dWhY0+85voqW3oVZ1NY+Jpzp3OwcsVrDg3jpqYn4dW/r6Qgz8NcfW06+/1Nc/SuYlkWH330Ee677z6cPXsWFy9exCuvvNKqjFgsxosvvthukOeImJgYfPLJJ/jd736HoqIiFBQU4M0332xTLj09Hf/4xz96LMgjnmcLcpTx0QhMjIWxSQt9ZQ14swWcVIyAmEiwVyfZuyMgEnjenj6kp4dYGwqKUZN9Ac019W2OlR84AXVGMiJGDgIr4tzWDoZhcOjTrQ4FeYD1/W5uNricvNpiMKK5sQmRUeHYsmc19uw4iLVffovcCwUwNBsQpFZh6o0TsGTZfETFRNjz8RHSUwYMysD6bZ/i6MGT+Or/NmDHj3tbre4WiThMvuE6zF88E8NHD0ZAgO+tsiWuoUCvhZCQEKxduxZr1qzB5s2bkZ+fD51Oh/DwcIwZMwbLly9HZmZmt66RmZmJ7777DuvWrcPWrVuRk5MDrVYLtVqNtLQ03HzzzZg3b55D27ER32cLdCSBARArFdbFDG7q7RIEARAAwWJB46USmLQ6AAzESgVUyfHWOX9u7lkrP3AcNadzOjzOG02oPZMDTckVJN96PTiZpNvBnsALaKyoRenxPIfrcGIOvLl7+ccsJjO+Xr0ZZ0/nYNHdc/H+p2+0Om42W+w9eBTkkd7AMAxGjRuGUeOGQdOkRWV5FbRaPQIC5IiICgfLMfbRBNJ3UKB3DZFIhKVLl2Lp0qVO150/fz7mz5/fZTmZTObyNYj/sg1puoPA8zDr9Kg6cR4NeYXgTa33xr2y9xjUGUkIGzoAIrm0+8GWIKD65PlOg7yWjA1NKPx+J1LmT4cbQlrk7jjpVA2T3ghO0r1VrJxUgoaGJvy0ZRd+2rILo64bjv+u/rv9uKgbybEJ6S5lYECb3Hg6nWs92MS30c9MQvyMwPPQV9Uif92PqDuf1ybIAwDeZELt2Vzkr9uK5toGlxYktLqm2YKqE2edqmOoa0D9xQII3VykwbAsig9fcKpObVEFOIkYATHt7zndFVmoGoqgQJw7/es8mWk3ju/RjckJIcQVFOgR4kcEnoexUYOiH3bD0s5WXdeyNBtQtGUXTFo9BN61dVmChUfdhfxWu0k4qvZsXrdzA5qNJpgNzgVYDZerUVNQhuD+aS5dU90/FcWXSnDoamqW+MRYzF8yi3LdEUK8DgV6hPgRhmVRcegkeKPjgY+l2YDKI9lwZAy15bw2Wy8gw7GodzFhq6GuAfqaOpfq2jAuDv7m7joFVXIcJCrnVpuL5DIEpSVi1f82AACiYiLw71XvQNyNDdYJIaSn0CcTIX7EpNWjqfiK0/UaC0oQPX4EOGn7i4B4i3XVbvHhC8jbnY2G0irwFh4xg5Mx4eE5Lq9eBQBTowayELXLE8Q5iQhSpRwGjd6peqXH89Bv+kgk3DwZl779GZbmrrclY8UixN44HhXl1fjhu+2YNW86/vj8I1CplBDRVmSEEC9En0yE+AnbEKor25AJPI+6CwUIyUoHy7XdJuzKmUs48tk2GHWtgyGL2dqr1510nN3N5MlbeCRdNwAXtx1zrp7Zgos/H8fou29EyrwbUbJtb7spYWwkQYGImTYOgkyCgzsPYvPuLxGgVEAQBHAcLbwghHgnCvQI8RcsA2NDk8vVjY1NbXrVeAuP0hN5OPTfH9oN5oxXe9HEAXIYnBgubkmsVHQr3QPLsUifOhQ5Px13OuBMHN0PggCIAxRIve0m6CqqUXMmB9qyCvBGM1ixCIrIMIRkZUAZGwnBwkNgGMy+7SaIu7lqlxBCegMFeoT4CYZhurV69trFGIIgQF+vweH//dhhAFVfWo3mBi2C0pNQeTjb6WtKVEooIkJdam9LiuBApE0ZgtydJx2uEzkgEVEDElvdJw8PQdy0cW0Cz5bzERkALAV5hBAfQYsxCPETAs9DJJe5XF8kl7YK6AReQM72E50mFhZ4Hvl7TkOdkeLS6tngAWndTq9iM3TBZCSM7udQ2bC0WIx/cFabwJhh2XZ7F31pCzpCCGmJPr0I8RsMgtISuy7WgaD0pFYBjcDzKDx4rst6BXtPg5NKEJLl3L6Z4sAAhPRP7XZ6FTsGGHvvTRix9HqookPaLSIPViJr9jhM+cN8cG7cgo0QQrwVDd0S4icYloEiMgzSkCAYahucqiuPDIUsOKjVfbWFFTDpul6Jqq/X4vS3+zB43gSYtXo05BV1WUcUIEfSzKlg3LiIwdYTlzxuAFInDkJV3mWUny2ESW+ESCpGaEo0YgalQBD4NgtOiP+ybT/HdzMpOCHuZntN9vQWiRToEeJHBAuP8GEDUbp9v1P1wocPhMDzrXq4jFrH05Vc3HYMUqUc/aaPgywsGDWnc2DWtk25wrAsApPjED1uuFv2uW0Pe3XrsdCUaIQkRlrnLsK6uxzDMmBgPS7wPMAw4E1mNNfUgzeZwEklkIUF27ejoz1BfZ9IJILRaATP8zAajbSPOPEKttckgB5PtE6BHiF+hOFYqFLiEdEwCJVHTztUJ2rcMCjjotsENaIOcup1JHv9XmirGpA1exxCszLQVHwFTUWlsDQbwYg4yELUCO6fas3VJwg9PmzKsizQwTUEQUBzbT1qTuegsaAEguXXeYicVAJ1RjJCsjIgDpDT8K6PCwgIsO/xqtFoEBLS/rA+Ib1Jo9HYbwcEBHRSsvso0CPEzzAMg7BhAyBSKlB15DRM7fSsAdY5cpGjh0CVEt9uz5U6PhwMyzq1kjd/z2lc2n8WA2aNRf8ZI6GMiwIr4qyLPHjh1/l4Hu4pqzx6GtUn2p9/aDEYUXP6ImrP5iJmyhgEpSZQz54PUyqVqKqqAgDU1tZCpVJBRLuYEA8ym82ora21/02BHiHEaQzDQJ2WCHV6EjTFZajLuQSzRgcwDMRKBYIzUxAQF2XtWesgiJEEyBA7NBWlx3OdujZv4aGKCoGuohqFm3aAYVmEDx+IsCH93fHQukUQBFQdO9NhkNeqLM/j8o4DYDkWgYmx1LPno6RSKWQyGZqbm2EymVBcXIywsDAolcoenxtFSEs8z0Oj0aC6uhomkzXvqEwmg1Qq7dHrUqBHiJ+yBSbK+GgEJsa2OibwvH0eWkcEQUD6tKFOB3pytRIxg1NQtuuQ/Vr66lr3ra51kSAIMNY3our4WafqXd51GJl3zQVDMYFPYhgGcXFxKCwshNlshsFgwOXLl8EwDNgO0un4K0vLKQq0IKlXCYIAnudbpbASiUSIi4vr8dcgBXqE+Ln2eqIc6Z1iWRbhabFImzIEebtOOXQtVsRhzL0zYNbp0XipxH5/Z7n4eo0A1JzJcboabzKhPqcAwZluTAXTB5jNZohEIphMJui0ekgkYsgVcphMZoh7eV9gsViM+Ph4lJaW2ntSBEFoFfj0BUaj0X6bFqV4llgsRlxcXI8vxAAo0COEdGHYoilgWAa5O052Wk4kFeO6385EaGIkLm3a0WpuH+cFO0kIvMWh1C/tqT2Xh5AB6W5ukX8ym8xgORb7dh3Gqv+tw8G9x+y9GLHxUbj9jtlYeOccKALkvdqrJJPJkJqaCp1Oh/r6ehgMhj4X6On1eghXp2vQPMXex3EcpFIp1Go1FIrubf3oDPqXJoR0imEYDFs4BQmj+iF350mUHs9t1UMnVyuRMiELqZMGgeNYFG7ZBUNtfatzBCbEQLDwHu0RMzZqwJvMLtU11DZA4AUwbN8Z5nOF2WRGRXkVHrrnSRTmF7c5frmkHP9442N8+O7/8MzLv8f8xTN7deiUYRgEBAT0+OR3b5WdnQ2TyQSRSIT0dPrh0ldQoEcIcUhIYgTGLJuO4Ysmo7G8DhajGRKFFEFx4bAYjKi/WIDaszkw65pb1eOkEgSlJnp82NPVIM9GsFjAsPSR2RGzyYzqqlosnfsQaqvrOi1rNBjx8tNvwWQyYcHSOeBoSJyQHkOfWoQQhwgC0FRcBn1lNcRKBSScCJYGHcryC6y56DpIwxI8IA3wgo4wzsm8gK0wDNhenlfma0RiER7/7XNdBnkt/fXF9zBq3DAkpybQClhCegi9swghDmE5FkHJcRDMFpTvO46yXw6j4uBJNOQVdRjkKeOjETFykFekJpEEBUKsdG3IThkf7ebW+BfewuP0yfM4d/qic/V4Hl/852tA6LosIcQ1nv/0JYT4lOjxIxA+IqvzoViGgTozBQkzJvZew7oiCAjun+pS1dCsDKcSR/c5DPDlp9+4VHXLtz+jubnrPZUJIa6hsQhCiNPChw9EaFYGas/nof7iJZiatBAEASKFDOq0RIQMzIBYqbCv8PMGDMsiZEAaqk+eB381xYYjpMEqKOOierBlvo9lWRzef9ylunp9M04dP4txE0e6uVWEEIACPUKICxiGASeVIGxQP4QPHdDqmMDz9qFabwnybFixCPHTJ6D4h90O9dBxMikSbprc6jGR9mk1epfrNjY0edWPAkL8CX1yEUJc1t7wrTcHRAzLIiA6HImzpkKkkHdaVhqiRsr86RAHyL36MXkLuULmcl1lYAAFeYT0EOrRI4T0KQzLQhERiow7ZqOpqBS1Z3Ohr6wFbzaDFYuhjItCSFY6AqIjqCfPCUNHZGHHj3ucrieWiJE1pF8PtIgQAlCgR4hPEa7ZK5HpY3t1uosteAtMjIUqOb7VMUEQrLlk4N29k97EYrZgyT3zXQr0brhpElRBgT3QKkIIQIEeIT7BtquE9kol9JW1EMwWsBIxAhNjIFWrqOfJRe3uA8wwAAXPTuFEHMaMH46klHgUFpR0XaGFO3+zADzP9+p2aIT0JRToEeLFbL1LNWdzUHcuD8ZGTavjFYdOQhEdjrDB/aBMiKHePeIxJpMZb//rz7hr3sPQaR1bmHH/o3cia0g/et0S0oOoC4AQLyUIAgSzBYXf70LFwZNtgjwb3ZUqFP+4B5VHsnu5hYT8SiwWITklAZ+s+QdCQtVdln/gsXvwuz/dT0EeIT2MevQI8WLF2/ZCd6XSobLVJ8+Dk0oQOph6SIhniMQiZPRLxdZ9a7Dx6x+w9vNvkZdzyX5cGRiAW2+bgaXLb0d8YowHW0pI30GBHiFeSOB5NBVfgfZyuVP1Ko+eQXD/VHCSbuzrSkg3iMQiiMQi3LZkFhbfPQ8VV6rQ1KSBVCpBZFQ4OBEHlhYREdJrKNAjxAsxLIvaszlO1xMsFtSdz0doVmbnW5QR0sPEYjEAIDI6HJHR4R5uDSF9F30TEOKFTFo9tJcrXKpbd6GAgjxCCCEAKNAjxCsZG5u6Ubf9RRuEEEL6Hgr0CPFCAi90XajDykKrpMqEEEL6Lgr0CPFCom7sG8rJpTTRnRBCCAAK9AjxSrLgIEjUKpfqBqUmQuB5N7eIEEKIL6JAzwEPPPAAMjMzsX79eredMycnB8888wymTZuGrKwsjBs3DnfeeSe++eYbWCwWt12H+CbBwiNkQJpLdUOzMmgLL0IIIQAovUqX1q9fj127drn1nF9//TVefvllmEwm+321tbWora3FkSNHsGHDBrz//vtQq9VuvS7xHQzHIjgzBTXZF2DS6Byup0qJh0Sl7MGWEUII8SXUo9eJ3bt344UXXnDrOffs2YPnn38eJpMJcrkcy5cvx9tvv41nn30WGRkZAICjR49ixYoV4Gn4rU9jOBaJt0wBJ5c6VF4RFY7YqWNpIQYhhBA76tHrwPr16/Hiiy+26nXrLqPRiJdeegmCIEChUOCLL77AwIED7ceXLFmCFStW4KeffsK+ffuwZcsWzJo1y23XJ76FYVlIVEqkzpuBsj1HoCm50m45ViSCOjMZUWOHAQxDCzEIIYTYUaB3jaamJrz11ltYs2aN28+9bds2lJaWAgDuu+++VkEeAEgkErzxxhs4cuQI6uvr8dFHH1Gg18cxLAuRQobEmyfDqNGi9mwumqvqwJvN4KQSKOOjEZyZAobjAAYU5BFCCGmFAr0WNm/ejNdeew01NTUAgJCQEEyfPh1fffWVW86/ZcsWANYv4yVLlrRbJiAgAPPnz8cnn3yCnJwcXLp0CcnJyW65PvFNDGudYSEOUCBy1GD734B10Ya/7IIhCAIgWPf5NWm09mBWEqj0q8dJCCG9iQK9FtasWWMP8iZMmIBXX30V+/fvd1ugd+TIEQBAZmYmQkJCOiw3duxYfPLJJwCAX375hQI9AuBqb901PXb+EvwIggBjQxNqTuegIa8QvMlsPyYJCkTIgDQE97P2XLYMdAkhhHSOAr1rxMbG4oknnsDMmTPdet6Kigo0NjYCANLT0zstm5qaar994cIFt7aDEG9UefQ0qk+ca/eYsaEJ5QdOoOr4WSTcPBnysGAK9gghxEEU6LWwYsUKDBo0CCKR+58W29w8wBpMdiYyMhIsy4LneZSVlbm9LcS9BJ4Hw7KwGI2wGExgOQ6cTApAoICkC4IgoPJwNqpPne+yrMVgROHmHUiefT1kIWp6bgkhxAEU6LUwbNiwHjt3XV2d/XZwcHCnZcViMRQKBTQaDerr63usTaR7BAsPMEBDfjFqz+ZCX1ljP8bJpQjOTEHIwAyIFDJaJNEOgRegr6pxKMiz1zFbUPLTfqQvdm+POyGE+CsK9HqJXq+335ZKu86LJpVKodFo0Nzc3JPNssvLywPbR3tIbCl0TCYTsrOzuywvEomQlpoKXteM4h92t5vQ2KI3oPrkeVSfuoCIUYMRPrQ/SkpKWgX8fZlYLEa/fv1QcybH6bqmJg00peVAUAAuFRa6v3G9wNnXHCHuQK87/+Bsjl2fD/R27tyJBx980KW627dvR1xcnJtb1L6W25pJJJIuy9vKmM3mLkq6h8Vioa3XAIfyJqampIDXG1D43XZYDMbOCwsCKg+fAngecUP7Q6vVQqvVuqm1vis0NBQWgxFNl0q7LtyO2rO5SLxpEhiGgdHYxb+Bl3Nnrk5CHEWvu77D5wM9X9GyF8+RN5jty0ssFvdYm1riOK7P9+gBXT/fSqUSAUol8r7Z2nWQ10Ll0dMIiI9CVFQUiouLXW6rv5DL5dBX1UJwcfcXfUU1AEChUPjkTiDOvOYIcRd63fkHnued6pjx+UAvISEB9957r0t1AwMD3dyajikUCvttg8HQZXlbGZlM1mNtaiktLQ1KZd/cIzU7OxsmkwlisRiDBw/utKzA89CVV8FQW+/0dWrP5CJ2ypgur9FXNDaUuFyXN1s/5FquUPclzrzmCHEXet35B41Gg4sXLzpc3ucDvdTUVDz11FOebkaXVCqV/XZDQ0OnZU0mE3Q667yvzvLtEQ9gGJfmlQFAY0Exoq8bDk7a9dB9X8A6MIWh47o+/9FFCCG9om+O1XlAUlKS/faVK+3vWWpTUVFhn2wZExPTk80iTmIYBrryKpfqChYeuhYrc/s6RUQoWLFrAZsyNsonh2wJIaS3UaDXS4KDgxEaGgoAyM3N7bRsXl6e/XZGRkaPtos4jze6vkCGNxopQLmK4TgEpSW6VDcki94XhBDiCAr0etGoUaMAAOfPn0dTU1OH5Q4ePGi/PXr06B5vF3FOd4YNWYmEcurZMEDooMw227p1RRYWDEVEKD2PhBDiAAr0etGMGTMAWFOmrF69ut0yGo0GGzZsAAAkJyejX79+vdY+0jVBEKCICnepLsOxUESEurlFvothGEhUgYieMNLhOiK5DAnTJ7q8WpcQQvoaCvR60Q033GDP2/f+++/j6NGjrY4bjUY8+eST9t0wli9f3ttNJF0RBIS6OGyoSkkAK6GUBi0xLIPgfimImTIGDMd1WlYarELyvBshksto+zNCCHEQLV1zo0OHDuHuu+8GYB1y/fzzz1sdl0gkWLlyJR5++GE0Nzdj2bJlWLBgAYYPH476+nqsXbsWOTnWFZ3Dhw/H7bff3uuPgXSOYVkoosIhDVE7nWLF1QDR3zEMA3VaIlRJcai/WIDac3kwNjTZDkIZF4XQrAwExEUBAu0fTAghzqBAr5dNmzYNL774Il599VWYTCasWrUKq1atalVm0KBB+OCDD8B10cNBPEOw8Ei4cTwKNv7kcNLkiFGDIAsLpnllHWBYFpyERciAdIQOygRvsUCw8GBFIjAsA4Hnrc8dPX+EEOIUCvQ8YMmSJRg5ciQ+++wz7N+/H1VVVRCLxcjIyMCtt96KhQsXUtZyL8BbeADWFbIMw9h7khiOhTgwAMlzbkDRll3t7nVrxzCIHD0YYUP690KLfR/DWZ9jluOAFj90qBePEEJcQ4FeF+bPn4/58+c7VHbMmDEOZ6tOT0/HK6+80p2mETeTSqX21Ce80YTGSyUw6w1gWAZStQrK+BgA1qFDhmUhUSmRvngWGgpKUHs2B/qKX3PkcXIpgjNTETIwHSJF7+xuQgghhFyLAj1CYN3DNi01FYa6RlSfOo/GgmIIltYrO0UKOYL7pyJscCYYjrP3MgWlxEOdlgiL0QjeaALDceCkUtiCQkIIIcRTKNAjfZ5cLkdKcgo0JWW4vONAmwDPxqzTo+rYGTTkFyNp5lSI5FJ77x4AcBIJuFbbetF8MkIIIZ5F3Q2kz0uIj4e+ohqXt3cc5LVkrG9E4fc7wZstvdA6QgghxHUU6JE+TyqToXz/caeS8BrrG1Fz+iIl7iWEEOLVKNAjfZrA89BeqYShrsHpunUX8kHDs6S3CRYevMVy9T/6oUEI6RzN0SN9G8Og7kKBS1XNWj00JWVQxkfTogvSowRBAARAsFjQkFcEk0YHAQLEAXIEpSWCFYspmTQhpF0U6JE+jWEYGOsbXa5vqG9CQFwU9euRHiNYeJj1elQdP4v6vCII18wNLT9wEqqUeIQPHwhJYAAFe4SQVijQI31ed+bZ0Rw90pMEnkdzTR2Kftjd4S4sgsWChtxCNBWWIn76RAREh1OwRwixo08D0ueJ5K4nNLbWpf484n4CL8Ck0XUa5LXEm8wo+XEPDHWN9AOEEGJHgR7p03gLD1Vqgkt1GY6DKiUOLEdvI9IDGKDiSLbD+ykDAG82o+LQSerRI4TY0acB6dNYjkVQWiI4qaTrwtdQpcRbJ8ET0gMsBiOaLpU6XU9TWg6jRmvfzo8Q0rdRoEf6PEEAQgdlOlWH4TiEDelvrUyIm/EWC+ovXnJ5CLbuXD7A02uTEEKBHiEoryhH+PCBCEpPcqg8w7KImzYOUnUgDZGRHsEwDIyNGpfrG5s0AEtzRwkhtOqWENTU1IBjWcRNHQtpUCBqTl/scF6UNDgI0RNGQBEZRkEe6Vnd6S3meTAMBXqEEAr0CAEAXC4rg4XnETO0P0KH9ENDXhEa84th1hvAsAwkahVCBqRBERkGwcJTkEd6lCAI3VsNrpBD4Ol1SgihQI8Qu5qaGsTGxoIBEJSWhODMFPsx684E1h4WhlbZkh7GsCyCMpJQdeKsS/WD0pMA6tEjhIDm6BHSrmtTpjAMQ70jpNcwDANpUCAU0RFO15WFqqGICKWhW0IIAAr0CCHEKwk8j/ARA53umQsfngXBQgmTCSFWFOgRQogXYlgWAdERiJk40uFgL3LMEAQmxdL0AkKIHc3RI4QQL8UwDNSZKRDJ5ag4fBKGusZ2y0lUSkSMHARVagIN2RJCWqFAjxBCvBjDMFDGRSEw8RboyqtQd6EAJo0WggCIA+RQZyZDGRtlXWVLQR4h5BoU6BFCiJezDcXKI0IhjwxrFdDZds+gxUKEkPZQoEcIIT6ivWCOAjxCSGfoE4IQQgghxE9RoEcIIYQQ4qco0COEEEII8VMU6BFCCCGE+CkK9AghhBBC/BStuu2jLBZLq791Op2HWuJ5/NX0FDzPQ6PReLg1pC+g1xzxBHrd+Ydrv6+v/T6/FiMIgtCTDSLeqbKyEiUlJZ5uBiGEEEK6IT4+HhERER0ep6FbQgghhBA/RYEeIYQQQoifojl6fZRarW71t1QqBcdxnmkMIYQQQhxisVhgMBjsf1/7fX4tmqNHCCGEEOKnaOiWEEIIIcRPUaBHCCGEEOKnKNAjhBBCCPFTFOgRQgghhPgpCvQIIYQQQvwUBXqEEEIIIX6KAj1CCCGEED9FgR4hhBBCiJ+iQI8QQgghxE9RoEcIIYQQ4qco0COEEEII8VMU6BFCCCGE+CkK9AghhBBC/BQFeoQQQgghfooCPUIIIYQQP0WBHiGEEEKIn6JAjxBCCCHET1GgR4iDHnjgAWRmZmL9+vWebgrxQYIgYNOmTVi2bBnGjBmDQYMGYdq0aXjqqaeQnZ3t6eaRPuLll19GZmYm/vnPf3q6KaSXiDzdAEJ8wfr167Fr1y5PN4P4qObmZvz+979v8xq6fPkyLl++jE2bNuHxxx/Hb3/7W880kPQJBw4cwFdffeXpZpBeRoEeIV3YvXs3XnjhBU83g/iwlStX2oO81NRULFy4EGFhYTh79iy++uor6HQ6vP3224iMjMScOXM821jil86cOYNHH30UPM97uimkl9HQLSGdWL9+PR599FGYTCZPN4X4qH379mHz5s0AgLFjx2LDhg1YtmwZZs2ahaeeegrffPMN1Go1AOC1116DRqPxYGuJP9q9ezeWL19Or60+igI9QtrR1NSEF154Ac888wyMRqOnm0N82CeffAIAEIlEeOWVVyCVSlsdT01NxfPPPw8AqK+vx9dff93rbST+yWg04r333sODDz6IxsZGTzeHeAgFeoRcY/PmzZgxYwbWrFkDAAgJCcHixYs93Crii+rr67F//34AwMSJExEfH99uuVtuuQWhoaEAgK1bt/Za+4j/2r9/P26++Wa8//774HkeCoUCy5cv93SziAdQoEfINdasWYOamhoAwIQJE7BhwwYMGTLEw60ivujo0aP2OVFjx47tsBzLshg1ahQA4NSpU2hoaOiV9hH/9d1336G0tBQAkJWVha+//hpTp071cKuIJ9BiDELaERsbiyeeeAIzZ870dFOID8vNzbXfzsjI6LRsWloaAGsalpycHHvgR4irQkJC8Oijj2Lx4sXgOM7+A5b0LRToEXKNFStWYNCgQRCJ6O1Buufy5cv227GxsZ2WjYqKalWPAj3SHUuXLsVLL70EmUzm6aYQD6NvMkKuMWzYME83gfiJ2tpa++3g4OBOy9pW3gLWuX2EdMegQYM83QTiJWiOHiGE9JDm5mb77WtX215LIpG0W48QQrqDevSIX9i5cycefPBBl+pu374dcXFxbm4RIYDZbLbfbhnItafl8Zb1CCGkO6hHjxBCekjL+VFdJd1uma+xq6CQEEIcRT16xC8kJCTg3nvvdaluYGCgm1tDiJVCobDfNhgMnQZwLQO9roZ5CSHEURToEb+QmpqKp556ytPNIKQVlUplv11fX9/pj4qWCzBCQkJ6slmEkD6Ehm4JIaSHJCUl2W9fuXKl07Ll5eX22zExMT3VJEJIH0OBHiGE9JDU1FT77ZbJk9tjO84wDNLT03u0XYSQvoMCPUII6SHDhg2DWCwGABw6dKjDchaLBUeOHAEA9OvXr9WQLyGEdAcFeoQQ0kNUKpV9j9sdO3agrKys3XLff/+9PbnyzTff3GvtI4T4Pwr0CCGkBy1btgyANb3KihUroNFoWh3Py8vDq6++CgAICAjAggULeruJhBA/RqtuCSGkB02YMAEzZszAjz/+iBMnTmDOnDlYsmQJoqOjce7cOaxevRparRYA8OSTT9KKW0KIW1GgRwghPeyNN96AVqvF3r17UVpairfeeqvVcYZh8Oijj2Lx4sUeaiEhxF9RoEcIIT1MLpfjP//5DzZt2oSNGzfi/PnzaGpqglqtxogRI3D33XdjxIgRnm4mIcQPMYIgCJ5uBCGEEEIIcT9ajEEIIYQQ4qco0COEEEII8VMU6BFCCCGE+CkK9AghhBBC/BQFeoQQQgghfooCPUIIIYQQP0WBHiGEEEKIn6JAjxBCCCHET1GgRwghhBDipyjQI4QQQgjxUxToEUIIIYT4KZGnG0AIIf5k/fr1eOaZZ7osx3EcpFIpQkJCkJaWhjFjxmDOnDkIDQ116no1NTXYunUr9u3bh5ycHNTU1MBoNCIwMBAJCQkYOnQoZs2ahcGDB7v6kByWm5uLuXPnwmw24+LFiz1+PUJI1xhBEARPN4IQQvyFo4FeexQKBf74xz9i6dKlXZatr6/Hu+++i3Xr1sFoNHZZfsKECXjppZcQHx/vUtu6otfrsWTJEpw/fx4AKNAjxEtQjx4hhPSQ+Ph4LFmypN1jPM9Dr9fjypUr2LZtGzQaDXQ6Hf785z+DZdkO6wHAyZMn8cgjj6C6utp+X1JSEkaMGIHo6GhIJBJUVVXh+PHjOHv2LABg7969uP322/HBBx9gxIgRbn2cBoMBv/vd7+xBHiHEe1CPHiGEuFHLHr3Ro0fj888/77JOQ0MDHnnkERw5cgSAtWdv27ZtCA8Pb1M2Ozsbd999N/R6PQCgX79+WLlyJUaPHt3uuY8fP45nnnkGhYWFAICgoCCsXbsWSUlJLjy6tiorK/H444/j2LFjre6nHj1CvAMtxiCEEA8LCgrC+++/D6VSCQDQ6XT49ttv25TTaDR45JFH7EHe1KlTsXbt2g6DPAAYPnw4Vq9ebR+ybWhowAsvvOCWdu/duxfz5s1rE+QRQrwHBXqEEOIFgoKCMGvWLPvfBw4caFPmn//8JyorKwFYh2r//ve/QyqVdnnukJAQvP766/a/Dx06hIMHD7rc1vz8fDz44IP4zW9+Yx8+HjJkCIKDg10+JyGkZ1CgRwghXiI1NdV+u7y8vNWxxsZGrF271v73ihUrIJfLHT73qFGj7D1/KpWqW0OrL730Enbu3AkAYFkWd911Fz7//HMoFAqXz0kI6Rm0GIMQQrwEx3Ht3gaAn3/+GTqdDoC19++GG25w+vwvvPACeJ5HRkYGGIbpXmNh7cV7+umnMXz48G6fixDSMyjQI4QQL3HhwgX77YSEhFbH9u/fb789cuTINoGgI9LT011vXAsjRozA8uXLMW3aNLecjxDScyjQI4QQL1BdXY0tW7bY/540aVKr4y2HWj3dg/b444979PqEEMfRHD1CCPGwoqIi/Pa3v4VGowEAREREYM6cOa3KtJyzFxkZ2avtI4T4LurRI4SQHnLlyhX897//bfeYyWRCXV0dzp07h6NHj4LneQDWuXlvvvlmm9W0tvl5AGh1KyHEYRToEUJIDykpKcGbb77pcPnw8HC89dZbGDduXJtjLPvrAIwjW54RQghAgR4hhHiERCKBUqlEeHg4Bg4ciOuuuw4zZsyARCJpt7xKpbLnrKurq+vNphJCfBgFeoQQ0kMc3QLNEQkJCfZAr+Uet4QQ0hlajEEIIT5g4MCB9tuubjmm0WiwZcsW1NTUuKtZhBAvR4EeIYT4gPHjx9tvHzlyxKV5env37sUf/vAHjB8/HvPmzYPZbHZnEwkhXogCPUII8QETJkywr7bV6XT4+eefnT7HunXrAACCICAsLAwiEc3eIcTfUaBHCCE+QCwWY+nSpfa/33333VYpV7py+PBh7Nmzx/73kiVL3No+Qoh3okCPEEJ8xPLlyxEREQHAmmR5xYoVDg3hlpSU4E9/+hMEQQBg3VmDti8jpG+gQI8QQnyEUqnEW2+9BbFYDADYuXMnbrvtNhw4cKDd8jzP4/vvv8fChQvtO2sEBQXhrbfe6rU2E0I8iyZoEEKIDxk7dizeeecd/OlPf0JzczNycnKwbNkyJCUlYcyYMYiOjgbP87h8+TIOHDiAsrIye93Q0FD8+9//RlxcnAcfASGkN1GgRwghPmb69OlITEzEn//8Zxw9ehQAUFhYiMLCwg7r3HjjjXj++edpn1xC+hgK9AghxAdlZmbiyy+/xMmTJ7Ft2zZkZ2ejsLAQjY2N4HkegYGBSExMxIgRIzB37lykp6d7usmEEA9gBNvsXEIIIYQQ4ldoMQYhhBBCiJ+iQI8QQgghxE9RoEcIIYQQ4qco0COEEEII8VMU6BFCCCGE+CkK9AghhBBC/BQFeoQQQgghfooCPUIIIYQQP0WBHiGEEEKIn6JAjxBCCCHET1GgRwghhBDipyjQI4QQQgjxUxToEUIIIYT4KQr0CCGEEEL8FAV6hBBCCCF+igI9QgghhBA/9f8BiyBHlijAltoAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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6dOlidajv2LFjQpDn6emJ7777zmJ4CTB+IC1evBgbNmxATk4O3n33XezduzffuW5nzpyBRCLB/PnzMWzYMLAsi+PHj6Njx45Wy+fniy++EIIzX19f/PDDD3nmUMXHx+Pdd9/FrVu3kJmZiRkzZmDXrl2QyWQWq9RjYmKEugYOHIjw8HC72gIYJ+WbUgMBJf93U1IOHTqEBw8eADAOQf7yyy95eiajoqLwr3/9C2q1GleuXMGlS5eEYUtbXoMmS5YsEYK8Jk2a4Pvvv8/zpTM5ORlz587FxYsXERMTgy+++KLABNZnzpyBn58fPvvsM7Rv3x7p6ek4fPiwEIQV5uXMBUeOHAFgnJ/38rGoqCgh0Js4cWKeVDzmIwim57QgL5ehQC8v6t8kxAZPnjzBW2+9JQyV+vv7Y+jQoRZlzOfsmb9ZlYRt27YJk86HDh2ap/dwwIABwvzA69evW/REOmLhwoV5PsgzMzOxf/9+LFiwAIMHD0Z4eDimT5+OP//8E4mJiYXW+csvvwiPYcKECZg+fXqex+Hr64sVK1YIwduePXuE1Z7Pnj2zCHY//fRTqz2Mcrkcn376qRCExsXFITMz085nwDY8z1vMR/rhhx/yBHmAcU7lf//7X3Tv3h2A8fVlbRjO3LvvvovJkyfD09MTPj4+GDVqFGrUqGFz2x4+fChcQyqV4qeffrI6Ub5GjRpYv3690MPy6NGjElvNav46kUqlRRrOLEs3btwQbv/rX/+yOvzcokULvP766wCMixCioqLsvs7z58/x559/AjDOZ1y7dm2eIA8wvj+tXr1aCHh2796N2NjYAutevnw5evXqBVdXV9SqVcumtFPWcBwnvN9Y27XC9OVAJBKhSZMmeY6bz6M9f/58oStpX/67MX3xI/+gQI9UaYmJiVi7dq3Vf2vWrME333yDiRMnon///sIkYbFYjEWLFuV5MzfNzwMALy+vEmszx3EWb27WepUUCgX69u0r3N+4cWORrimXy/Hbb7/h008/zffbcmZmJo4ePYrPP/8cPXr0wJtvvpln1wQTnU4nDEVKJBJMmzYt32vXqlULgwcPFrYcMwVpMpkM//vf//D666/jvffeK3Dlp6+vr8WQr3lqkOJ07do1xMTEADAO1xbWy2X+uHfv3p1vOYZhCkzQbYv9+/cLi2IGDx5c4NZR7u7uFnnxzKcJFCfzvxnz4cmKxvwLirUdPUwmTZqEgwcP4saNGw4FUjt27BCSEI8ePbrAwFihUAiLZDiOw969e/Mt26RJkzyrXx1lWkwFWA/0TO8JQUFBVhNcBwQECF+A9Ho95s2bl+/f69mzZ7F582aLn5n3EBMjGrolVdqzZ8+waNEim8v7+flh8eLFVucEmU8AtrblWXE5d+6c0BPSsmVLqwsUAGMAaAoId+/ejfnz59u0iCI/DMNg/PjxGDNmDM6dO4cTJ04gIiICT548yVOW53mcOXMGERERmDdvntCTYXLt2jXhQ7558+aFTqK3NuwUEBCA1157zaa2P3z40GKT+JL6MDD1MALWP+Re1qRJE8hkMuh0OkRFRcFgMFjtlQwODhbmaznKPF2P+ZeA/PTv3x+ffPIJeJ7HrVu3kJuba9cqcluYB0gVeUeIsLAw/PrrrwCMPdXx8fEYOnQowsPD4eLiIpTz8PAodGFEQcxfX9Z6w17WqlUr4bZpuLewckVlvgDLWhtNgV5Bfx/z58/HxYsXoVarcfXqVYwcORIzZsxAx44doVAohMUma9euBc/zqFatmjCiUly7AVUmFOgRkg+ZTAaFQgE/Pz80bdoUHTt2RL9+/fLtOXJ3dxe2PDNfOVbczHtXzHOIvSw8PBw1atRAfHw81Go19uzZU+ReIcDYA9etWzd069YNgHE46dKlS7h48SIiIiKEOUaAMZ/WwoUL4eXlZdFW8yG7+vXrF7lNgDG4jIuLw9OnT/Hs2TM8efIEMTExuHPnjrAYw7xsSTCfL/THH3/gjz/+sPlcjUaD9PR0i1WEJsWxub0pNxlgTHxdGDc3N9SsWRPPnj2DwWBAYmIi6tWrV+R2vHwNk8zMTLAs69AiprLWs2dPITUSYFyMcODAAUilUrRu3RqdO3dG9+7d0bBhwyJdx/z19e6779p1bkJCQr7HiuP1ZXLnzh0AxikAL49s6HQ64TGYFjJZU79+fSxbtgyzZs2CWq3G48ePrebTE4vF+OSTT3D69Gkh0KM9b/OiQI9UaabcTcWhdu3aQqBnvsdtcVIqlTh27Jhwf8GCBViwYIFN527atKlYAr2XBQQEYPDgwUIy6fv372PdunXYuXOnEFAtXboUgwYNEoJk8/1ii9pT9ezZM/z88884ePBggXPvRCJRofn8iqqoc/8yMzOtBnrmAZGjzPMh2tqr5OnpKQTuJTGv0Tx9Bs/zSEtLs/r4yzuRSIRVq1bhyy+/xK5du4TXvV6vx4ULF3DhwgUsWbIEderUwYgRIzBp0iSLnj5bFeV3UNC5Rf0bXLt2rXDbNCVDKpVa/BwwLpQw9dzGxMRYHA8MDMTAgQOF+926dcOmTZvwzTffWE1O37JlS3z44YcIDQ21SNFTEfbVLm0U6BFSTJo2bSqkiihomKQgKpUKp0+fRnh4OHx8fPIc37Nnj8PDwnfv3sW1a9eKbS5Ofho2bIhvv/0WnTp1wrx58wAYe/0iIyOFXsDiGjo9cuQI5s6dmydXnVwuR926ddGoUSOEhoaic+fOmDBhQolvkWQ+PNy/f3+7twaz9jsHUCx5/xzpxTQPjEtiD9latWrBw8NDCEKuXLni0P7MN27cgFarRatWrUpsY/vCnj83NzcsXLgQ06dPx759+3DixAncvHnT4jl88uQJli5dii1btuD333+3uyfN/O/mrbfesmteY0H5CYvai2pt+ktsbGyB02L+/vtvi/vt2rWzCPQAYyLmX3/9FXFxcUK6KG9vbzRq1MhiyoppoYmTk1OJzo+uqCjQI6SYdOrUSegdvHTpEnQ6nd0fOmfPnsXs2bPBMAwaN26MrVu3WnzImw/bdunSxaZvr1euXMHTp08BGHv17An09u3bh/Xr1yMtLQ19+/a1a5eNV155Bdu2bRO+jcfGxgqBnnkPVXZ2ts11mnv8+DHmzZsnBHnt2rXDmDFj0LJlS9SsWTNPYGLPrh6OMu8ZCQ0NxeTJk0v8mrZyd3dHSkoKAGPvni09SuZTEIqjV/FlIpEI7du3F1LfnDt3zqFAb9WqVTh58iScnZ3x9ttv2727BlB4IPfyl4n81K5dG9OmTcO0adOQlZUlTGk4ceKEMHwaHx+P//znP3YN7QPGnljTaMGAAQNsmqdXGdSsWTPfoDg+Pl4YIahfvz4lS7aCAj1Ciknnzp3h5eWFjIwMqNVqHD16NM831MKYAjme5+Hr62sR5EVHRyM6OhqAcQ/IH374waYPa/Otmw4cOIAPP/zQ5p4AtVqNmzdvAoBNe+++LCQkRAj0zCfbmzYiB5BnJwFrzpw5g/379wsJkVu0aIFff/1VSKXQvXt3rFmzJt9eJ4PBgKysLOF+Sc3RM39cptW3hUlPTy+VtCJBQUFCoHf37l1hT+T8ZGZmCoGJSCSyK5WLPV555RUh0Dty5Ag++ugju4Y1nz9/LuQ21Gg0du3kYc8CKtNzZw93d3f07t0bvXv3xieffII///wTX3zxBQDjl8GEhIRCfw/matWqJQR6MTExhQZ6Op0OOp2uSIuwbGHKIbpnzx6hFz8iIiJPD/Xw4cNx584dDB48GEuWLMm3Pp1Oh7S0NKjV6nwXm5mcOHFCuG0tXRCh9CqEFBupVIrx48cL95ctW2aRPqIwFy9etNj94OX5dOa9eb169bL5w7B///5CWa1Wa9fG3+ZvnHfv3hU2I7eV+Ypc8x0TWrVqJXzIRkVFFTr36PDhw9i+fTt++OEHIYAyz102evToAocWr1y5YjHs5ehcvcKGL81zgJ06darQlaQ3b95Ehw4dEBoaipEjR5Zoagjz36UpsCqIeZnGjRuX2CT3Hj16CLnglEqlsH2frZYtWyY8zwEBARZ7xBbGfBWx+bxRa0xfeF7Gsiw++OADjBgxAp06dco3YGQYBhMmTChwv+zCmL++jh49Wmj5DRs2oE2bNggPD8enn35q17UcYVpxGxgYmCfI0+l0wt9uQQsxOI5DeHg4unfvjnHjxllMh7DG/H2xT58+jja9UqNAj5BiNGXKFGEy+ZMnTzBnzhyb5tQ9e/YM8+fPF3qaWrdubbH5uWmzdJNXXnnF5ja5uLhYbGX0ct6pgtSrVw/t2rUT7n/00UfCBvSFuXr1Kk6dOgXAOEHaPCWNQqFAjx49ABgf27p16/KtJz09HQcOHABgDKZNO5KYP68FrXI2GAxYvHhxnp+9zHyeUn6BoHkPkLUPoA4dOqBatWoAjD1AL09GN8fzvNCroVarUbNmzRLdg3fYsGFCoLpv3758cxwCxuH0VatWCfft7Zm2h0QiEXqBAODnn3+2OUHzli1bsH37duH+zJkz7dor1/S7Aiy3MHzZ7du38z0uFotx9+5d3L59G6mpqRaLpV7GcZzFopiXE6sX9ho0/x0ePXq0wC9eGRkZwutPqVTatJ9yUZkCPWuB3N27d4WAvKBATyQSCTtyZGZmFvh8/v3338Iq30aNGlm8V5F/UKBHSDFSKBRYvHixkMvpxIkTGDlypNVVY4DxzXzfvn0YPXq08O3ew8MjT2By9OhR4QPC29vb6m4LBTFPqvz48eN822PNf//7X2Ho58mTJxgxYoRF4taXsSyLbdu24d///rfwYTV//vw88xXNtzv76aefhIz/5pRKJd577z1hHt+wYcOEhM3me8P+/PPPVntkEhMTMWXKlDy9Mday55sPb+W3aKOwMlKp1GJ+2Pfff4/169fn+dDOzc3FZ599JvweCksaXRzq1q2LIUOGADAOo7/11ltWFw0lJibijTfeEFLg1KtXz+Z8hY7q168fRo0aBcD4N/HBBx/gk08+wfPnz62Wz8jIwBdffGHRS9W3b1+hDluFh4cLwfvly5etfgm6efMmpk+fXmDP0siRI4XbCxYssLrrBc/zWLhwoZDqp2nTpnmGwwt7fdWvXx+DBg0CYHyepk+fLgxbm3v+/DmmTZsmXKt69ep49dVX821/ceA4Tgi6rAVypi8W+e2IYc789/jVV1/h4cOHecrs2rULn332GQBjb+lHH33kcNsrO5qjR0gxa9++Pb777jvMnz8fGo0G9+/fx+TJkxEUFITw8HAEBgaC4zjEx8cjMjLSIr+Vj48Pfv755zwTj82HJwYOHGh3z0/btm1Rq1YtIVXGxo0bbd4IPiQkBGvWrMGbb74JjUaDlJQU/Oc//8GXX36Jjh07ombNmvD09IRKpUJcXBzOnz9vEXTNnDnT6l67LVq0wOzZs/F///d/4DgOn3/+OTZt2oQuXbrAw8MDcXFxOHTokDCsGxQUhPnz5wvnT5gwAfv37wfP84iNjUWfPn3Qt29f1KxZEzk5Obh//z4iIiKED2ipVCoEp9Z6AM2f848++ggjR44Ez/MYM2aM0EtrXmbdunXQ6XRwc3NDWFiYMKw2ZswYXL58Gbt37wbHcfj222+xadMmdO3aFd7e3khISMCJEycs5nzNnTvXInAtKf/73/8QHR2N+/fvIzU1FePHj0f79u3RqlUrSKVSPHjwAMePHxcCYYVCgaVLlzqUCsRen332GXJzc4UdHEy9dW3btkWzZs3g4eGBnJwc3Lt3D5GRkRbBeo8ePfJ8ObKFj48PBg0aJPSWf/rpp9izZ48wzB0VFYXIyEjwPI8BAwYIPcsvGzt2LP7++2/cu3cPSqUSo0aNQqdOndCwYUN4e3sjLS0NZ8+eFXLISaVSq4GJLa/Bzz77DHfv3sWDBw+gVCrx+uuvo02bNggLC4NUKsWjR49w9OhRYfGIk5MT/u///s+unk5HPHr0SJiqYi3QM/X21a1b1+qOGOYGDhyILVu24Pz580hKSsLQoUPRu3dv1K9fHzk5OYiMjBTmKwPArFmzHNpruaqgQI+QEtC3b1/UqVMHn3/+uTC8EhsbW+B+k3369MEnn3ySZzgnKSnJYtjInmFbE4ZhMHz4cPzwww8AgOPHjyMlJcXmzb/DwsKwa9cufPvtt8LkZ5VKhcOHD+d7TvXq1fHRRx8VOG/m3//+N1xcXLBo0SIhKL5//36ecq1atcL3339vkf+tdevW+OSTT/DVV1+BZVmoVCqLYTwTiUSCt956CyKRCCtWrABg7F0wrQA2GTFiBP744w/o9XokJCRg+fLlAIw9h6bH0LFjR9SuXRtPnz6FVqsVhsYmTpxoMX9q4cKFqF69OtauXQu9Xp/v797Z2Rnz5s3DxIkT832OipOrqyv++usvfPDBBzh27Bh4nkdkZKTVHt6mTZti2bJlVvdSLQlisRhLlixBu3bt8MMPPyA1NRUGgwHnz5/PdyGQi4sLZs6ciX/9618OpwhZsGABnj9/LiQ7vnTpksUOFIBxDuicOXPyDfRkMhl++eUXTJs2TQhozp07Z7W3zdfXF19++aXF68XEltegQqHAxo0b8f777wt/i1euXLHaO1utWjUsXry4VBYpmO+IUVCPXkHDtiYMw2DFihV49913ERERAb1eb/W5l8vleP/990u8x7mio0CPkBISEhKCP//8E9evX8fhw4cRFRWF2NhYZGVlgeM4uLm5oU6dOmjTpg2GDRtmsVjB3I4dO4Shv9q1azu8XdHw4cOxYsUKcBwHvV6Pv//+267hwqCgIKxZswa3b9/G4cOHcePGDTx9+lRIgurm5gZ/f380btwYffr0QdeuXW3qRRg/fjx69+6Nv/76C2fPnkVcXBxUKhU8PDzQvHlzvPLKKxgwYIDVD/Lx48cjNDQUGzZswKVLl/D8+XPwPA93d3cEBQUhNDQUY8aMQe3atXHjxg0h0Nu9ezemTZtmsbiiYcOG+P3337Fy5UrcunULKpUK7u7uFnOqnJ2d8ccff+C7777DuXPnoFQq4eTklCf1hkgkwuzZs/Hqq69iy5YtiIiIEB6Xi4sLgoKC0LFjR4wZM8auVZfFwc3NDatWrcLly5exc+dOXLp0CSkpKdDpdPDx8UHLli0xYMAA9O3bt0x2qRgzZgyGDBmCY8eO4dSpU7h79y6eP3+OnJwcSKVSeHl5oXHjxujUqROGDh1a5BWlCoUCv//+O/bv349du3bh1q1byMrKgq+vL1q1aoUxY8agQ4cOFqu2rfH398eWLVtw8OBBHDp0CHfu3BGCVW9vb9StWxc9evTAyJEj801VY8trEDCu5l2zZo3Qc3zp0iUkJydDq9XC3d0dISEh6NWrF4YPH15o71lxMQV6ph5+c7buiGHOzc0N69atw8GDB7Fr1y7cvHlT+HsLCgpC165dMW7cuDxfjEleDF9SeQYIIYQQQkiZosUYhBBCCCGVFAV6hBBCCCGVFAV6hBBCCCGVFAV6hBBCCCGVFAV6hBBCCCGVFKVXqaJ0Op3Fkn0nJ6cySaVACCGEENuxLGuR0snT0zPPzkPmKNCropRKpbBLAiGEEEIqLtPOKdbQ0C0hhBBCSCVFgR4hhBBCSCVFQ7dV1MtbU9WqVatUNi4vjx48eACWZSEWi1G/fv2ybg6pAug1R8oCve4qB7VabTH1qrCtJinQq6JeXnjh4uJS5D0jKyqRSASWZSESiarsc0BKF73mSFmg113lVNhCShq6JYQQQgippCjQI4QQQgippGjo1kafffYZ/vrrL8yYMQMzZ84sUl0TJ07ExYsXbSq7efNmtGrVqkjXI4QQQkjVRD16NoiMjMSmTZuKrb779+8XW12EEEIIIfmhHr1C3Lp1CzNmzADHccVS3/Pnz4UdKUaPHo1u3boVWL5u3brFcl1CrDEYDOA53niHB8RSMUQi+v5HCCGVBQV6BTh16hTmzZsHlUpVbHXevXtXuN2vXz907ty52OomxFYGvQEisQjRF+4iLiYeep0eLm4uaNmlOfxq+sGgN0AipbcHQgip6Oid3AqdToc1a9Zg9erVxdaTZ3Lv3j3hdoMGDYq1bkIKwxpYcByHY5tO4NyeCChTMi2O7/pxDxq0qo9e43qiSbtGYBimjFpKCCGkONAYzUsiIiIwYMAArFy5EhzHwcXFBVOmTCm2+k2BnqenJwICAoqtXkIKwxpYaDU6LJ25HPvWHcgT5JnEXH+ANR/8hIO/Hy7lFhJCCCluFOi9ZPfu3YiLiwMANGvWDFu3bkWPHj2KrX7TQoyGDRsWW52E2Gr1+z/i2b1nhRcEsH/9QZzecQYcW7y92oQQQkoPDd1a4e3tjRkzZmDs2LEQi8VIS0srlnr1ej0eP34M4J9h29zcXNy9exdZWVnw8vJCo0aNIJPJiuV6hJgY9AZcPnoVsXee2HXenl/2o8PA9hCJ6TshIYRURBTovWT8+PFYsGABnJ2di73uhw8fQq/XAwDc3Nzw4YcfYt++fdBqtUIZV1dXjBgxAjNnzoSHh0ext4FUTRKpBGd2nrX7PE2OBhcOXUL7Ae1ocQYhhFRA9M79kubNm5dY3eYLMdasWWO1TE5ODjZs2IDTp09j7dq1qFWrVom1h1QdSU+S8NTGIduXRew7j85DOhZziwgpfRzHQaVSISsrCzqdDizLlnWTSpXBYBD+j4mJKePWVD1isRgymQzu7u5QKBSllsqKAr1SZB7oMQyD0aNHY9y4cahbty7UajXOnz+P77//HrGxsXjy5AmmTp2Kv//+G3K5vAxbTSqD589SHD43LaF4pi4QUpays7MRHx8PnufLuillRiwWC7dNQR8pPQaDAVqtFtnZ2WAYBjVq1ICbm1uJX5cCvVL0/PlzAMYgb+nSpRgwYIBwzNnZGQMHDkSXLl0wceJEREdH48GDB/j999/x9ttvl3jbHjx4UGUT5ZqG0/V6PaKiosq4NcWvUaNG4AyO91xwL3o9EhMTkZLieMBI/lHZX3PlDcdx4DgOIpEIEokEDMOAYZgq957n5ORU1k2o0jiOA8/z4Hle6FUViUR2vw7tTftGgV4pWrJkCb788kukpqbmOyTr5uaGr7/+GsOHDwcAbNmypVQCPZZlq9wwhjWmD+DKhGVZePg6Pt/TzdsdAKDRaCrl81PW6DktHSKRCFKpFHK5HO7u7nB2dqY8kaRU8TwPjUaDrKws5ObmCtMHSvqzlwK9UiaXywudd9ekSRM0aNAAMTExiIuLw/Pnz0s8555YXHW3vjL/oJVKpWXYkpKhUqlQt2kQvKt5IT0pw+7z2/ZqDYPegJycnEr5/JSFyv6aK09MvXlSqRQuLi7w9/evsgGe+bB1VX0OyhLDMHBxcYFcLkdycjJ4nodOp7O7V4/jOLuCQwr0yql69eoJk2VLI9CrX78+FApFiV6jvIqKioJer4dUKkWLFi3KujklwmAwoNPgDtjzy367zhOJRegyvDMkUgmaNWtWQq2reqrCa668iIuLQ3Z2NgDA398frq6uZdyisqNWq8HzvBBwkLLj7++Pp0+fQi6Xw83NDTVr1rT5XJVKZTHnvzBVswunApBIKAYnxUcikaDzsM5w93G367yOg9pD4VF1PxhJxafT6QCAghtSrri4uAi9qqbXaEmhQK+UpKen448//sCyZcuwc+fOQsubFm4AxsifkKKSOUkxffHbcLUxcGvaoQlGvTeShnhIhWYa4hKLxfRaJuUGwzDCKmiao1dJ6PV6fPHFFwCAkJAQDBs2LN+y2dnZuHXrFgAgICAA1apVK40mkkpOIpXAv7Y/5q2ejc1Lt+Le5ftWU03IFXJ0HtIRg98cWAatJIQQUpwo0CslAQEBCAoKQmxsLO7du4fr16+jVatWVsuuW7cOGo0GADB06NBSbCWp7CQSCTz9PDB98VSkJ6Xj9I6ziH+YAL1OD7lCjhadmqFtn7YQie1f8k8IIaT8oUCvFE2cOFHo1fvggw/w+++/51lksW/fPvz0008AAE9PT0yePLm0m0kqOdNWZl4BXnjlrUGWSVT1BtrqjBBCKhF6Ry9GcXFx6NWrFwCgRo0aOH78uMXxsWPH4sCBA7h8+TJiY2MxZMgQjBkzBo0aNYJKpcLx48dx4sQJAMael2+//RY+Pj6l/jhI1WA+R8SEgjxCCKlc6F29FEkkEqxevRqzZ8/G2bNnoVQq8eOPP+Yp5+npia+++go9evQog1YSQgipykypf0jlQJNwSpm7uzt++eUXrFy5En369IG/vz+kUik8PDzQtGlTzJw5E/v370fv3r3LuqmEEEKK4MKFCwgJCUFISAj+85//lHVzbLJ9+3bMnTu3rJtRIuLi4oTfx8SJE4tU18SJE4W64uLiiqmFJYN69GwQHh5uU3LCmjVr2lSOYRj07t2bgjlCCCHlQk5ODqZOnYqLFy+iXbt2Zd0cUoyoR48QQgip4jIyMnDx4sWybgYpAdSjRwghhJBKz9ZRt8qGAj1CSLFhWRY8x0MkFoHnAZ7lIJHR2wwhhJQVegcmhBSZKf/e07vPcO3EdagycyCWihFQ2x8dB7WH3FUOjuMglogLr4wQQkixoUCPEFIkPM/jxukoHPnrGOIfJuQ5vm/dAbTq1hJD334FCg9XytVHKqzo6Ghs3boVFy9eRFxcHAwGA3x8fNCyZUsMGzYMPXv2tKu+nj17Ij4+HgAKHVKcOHGiMIfu2LFjqFmzZp4y8fHx2LJlCyIiIvD48WNoNBq4u7ujRo0a6NChAwYOHIhatWpZnHPhwgVMmjTJ4mcXL15ESEgIAKBdu3bYsGFDnmvp9Xrs2rULR48exZ07d5CRkQEXFxfUqFEDnTt3xmuvvVbg9p2mx965c2esXbsWhw4dwsqVKxEbGwsvLy+0bNkS77zzDho1alTg82IP81y3+T0uAOA4Dvv378eOHTtw+/ZtqFQq+Pn5oUOHDpg8eTIaNmxYbG0qDfSOSwgpkn3rDuDQhiP5HjfoDLh85AruX4nBzKXvwLe6DwV7pELRaDT47LPPsH379jzHkpKSkJSUhEOHDqFr165YunQpFApFqbdx27ZtWLBgAXQ6ncXP09LSkJaWhqioKKxduxavv/46pk2bVqRrRUdHY9asWYiNjbX4uU6ng1KpxO3bt/Hrr79izpw5Nu3udOjQIbz33nvC3tum53TGjBlFaqcjMjMzMX36dFy6dMni5wkJCdi2bRt2796NTz75pNTbVRT0bksIcQjLsojYE1lgkGcuKz0LK+etxn/WzqdAj1QYLMvinXfewblz54SfhYaGIiwsDDKZDHfv3sXx48fBcRxOnz6N6dOnY/369aW6V/SlS5fw3//+FxzHAQDCwsIQGhoKNzc3JCcn4/z584iJiYHBYMBPP/2EatWqYfz48QCA2rVr4/3330dWVhbWrFkDAKhVqxbGjRsHAAgMDLS4VlRUFCZPnoycnBwAgL+/P3r06IHq1atDpVLh8uXLuHbtGrRaLb755htkZmbivffey7ftmZmZ+PTTT4UgzyQ4OLjUe87UajXGjx+PmJgYAIBMJkOvXr3QsGFDZGdn48SJE3j8+DEWLFgANze3Um1bUdC7LSHEMTywf/1Bu05RpmTixNZTGPCvfjRfj1QIv/76qxDkubi4YMmSJXmGaM2Dn/Pnz2PXrl0YPnx4qbVx9erVQpC3YMECIUgz4Xke3333nbCP+tq1a4VALzAwEG+88Qbi4uKEQM/0s5epVCrMmjVLCPLeeOMNzJo1CzKZzKLcqVOnMHfuXGRnZ2P16tVo164dOnToYLXtN2/eBAB0794d77//PgIDA3Hnzh2kp6c7+nQ4bM2aNUKQV6NGDfz8888IDg4Wjs+bNw8rVqzAqlWrkJmZWertcxTl0SOE2M2gN+DqiWtQZebYfW7kvgtgGKYEWkVI8eI4DmvXrhXuf/vtt1bn4bVo0QKffvqpcH/z5s2l0j6T69evAzDuvDR27Ng8xxmGwZw5c1C9enUAxuHcpKQku6+zceNGYU7hiBEj8P777+cJ8gCgW7du+PLLLwEYg8zly5cXWG/Dhg2xYsUKBAcHw8XFBW3btkXfvn3tbl9RKJVKrF+/HgAglUqxevVqiyAPAMRiMd577z2MGDGiVNtWVBToEULsJpFKcOHgpcILWpGVnoXoS3eFHghCyqtr164hLS0NABASEoJ+/frlW3bgwIFo0qQJunTpglatWuUZiixJEolxcC4nJ0fokXoZwzBYvXo1Dh06hMjIyAIXSuTn77//Fm6//fbbBZbt378/6tatCwC4cuWKECBaM2rUqDLfW/fMmTPC/MaePXsKi1Gsee+990p1aL6oaOiWEOKQjOQMh89Nf54BjuUq1JslqXoiIiKE2927dy+wrEwmw44dO0q4RdaFhYXh6NGjYFkWEyZMwKRJk9CzZ080btzYove8du3aDgegycnJwuILFxcXBAUFFXpOaGgoHj9+DMAY7NWoUcNquVatWjnUpuJk/rvu0qVLgWWrVauGJk2a4NatWyXdrGJBgR4hpPSVYm8HIY5KTEwUbtevX78MW1KwmTNnIiIiAmq1GpmZmVi+fDmWL18OHx8fdOrUCV26dEGXLl3g5OTk8DUePnwo3Far1QX2eFlj/ly+zFqqmNJm3uP48pCtNQ0bNqwwgR59nSaE2IRjORj0Buh1BgCAl7+Xw3V5BXhBJKa3H1K+mS8I8PDwKMOWFKxRo0ZYv359ngAlLS0Nu3fvxvz589GpUye88847OHPmjEPXUCqVRWpjQee7u7sXqe7iYBqiB2xrj5eX4+9/pY169AghBTIYWIjFIty/FoP4hwnQ6/ToObo72vVri3tX7ttdn5u3G5q0a0zDtqTc0+v1Zd0EQWFDrq1atcLevXsRERGBw4cP49SpUxYLLliWRWRkJCIjIzFkyBAsWrTIrkVRLMsKt2vUqCGs2rVV06ZN8z1mmmNYluxdIFbWcwrtUfbPLiGkXOJYDhzL4eS20zi7OwJpif984/UO8Eabnq2xfeUu5Ni58rbjoPalOlGdEEeZ9+xkZWWV6LV4ni8w2NBqtYXWIRKJ0LlzZ3Tu3BkA8PjxY5w/fx5nz57FmTNnhDp2796N9u3bY+TIkTa3z/y5UCgUVtOvVGS+vr7CQhZbei9VKlUJt6j40FdqQkgeHMtBm6vFsneXY9ePeyyCPADYsXoXAGDAv/JfhWiNh68Hur/ajXLokQrBfLuwR48eFVp+/fr1WLBgAdauXYvnz58XWt68V/vlHS1elpKSUmh9L6tbty7GjRuHlStX4syZMwgPDxeO7dq1y666zJ+LJ0+e2NTbmZ2dDYPBYNd1yor5QpHCtqMDLOcslncU6BFC8uB5Hqve/xFP7j61elyVocLZXefQbUQX9B3f26Y63bzdMP3/psLZxfEJ4YSUptatWwu3bZnbtmnTJmzcuBGLFi0qNHADALlcLtwuKEFwSkpKvosZrl69iqlTp6JPnz743//+l28dHh4eFluKvRyIFjZ0WbduXfj6+gIwbglny/Px2muvoUWLFujZsydOnz5daPmyZL6q+ujRowWWzc7OFnIXVgQU6BFCLBgMLM4fvIjYO08KLPf38h24euI6Br85EJM+noDAuoFWy0mkYrTp1Rrz18yBXw1f2v6MVBgdO3YUgpubN29abIP2snPnzgnpRxo2bGjRA5Yf81x2BdVt2tHCGrlcjhMnTuDp06c4duxYgUOKGRn/pETy9/e3OCYW/9PLbj4fz9ywYcOE28uWLStwOHnnzp24f/8+WJZFamoqmjdvnm/Z8qBLly7CtmaRkZEW6VZe9ssvvyA3N7e0mlZkFOgRQixIJGKc2XnWprLrP/sNR/46hpZdmuOj9e9j9op30W1kV7Tt3RrtB7TD0LdfwZfbPse//jsB7j5uFOSRCkUmk+HNN98U7s+ZMweXL1/OU+7+/fv44IMPhPv//ve/baq/ffv2wu3vv/8ez549szjOcRx+/vln/PHHH/nW0bhxYzRp0gSAsedv3rx5VucTpqamYsmSJcL9l5M/KxQK4XZSUpLVYG/y5Mnw9PQEYBzenDp1KlJTU/OUO378OD777DPh/oQJE8r9KlVnZ2fMnj0bgHFEY9asWbh48WKecn/++WeBgXd5RO+6hBALcTFxiH+QYHP5PT/vw761B9BzTHf0HN0dw6YNgVgsAs/x4DhOCO7MewwIqSgmT56M8+fP4+TJk1AqlZgwYQI6duyIVq1aQSKRIDo6GsePHxfmovXr1w9Dhgyxqe4RI0Zg9erVyM7ORnJyMgYPHowBAwagdu3aSE9Px4kTJxAXFwepVIqePXvmO6T48ccfY9KkSWBZFidOnECvXr3Qo0cP1KxZExKJBLGxsRa9fY0aNcKoUaMs6lAoFPD09IRSqUR8fDzeeecdtGnTBnK5HBMnTgQA+Pn5YdGiRZg+fTr0ej0iIiLQp08f9OzZE8HBwcjOzsa1a9dw7do1od5mzZrhvffes/t5Lwvjxo3DiRMncObMGWRmZmLSpEno0qULWrZsCb1ejzNnzuD27dsAgKCgIKEHt7yjQI8QIuA4DomxhU8it3be0Y3HcfnoVXyx1ThPiBEzlCuPVHgMw2D58uX4/PPP8ffff4PneZw7d87qUOvIkSOxYMECm+v28vLCqlWrMGPGDGRmZkKj0eTZXcPd3R3ffPMN4uLi8g302rZti6VLl+Kjjz6CSqVCVlZWvost2rZti4ULF1pNnjxmzBj8+OOPAICTJ0/i5MmTcHNzEwI9wLiP7bp16zB//nwkJSVBrVZj7969Vq/Vo0cPLF68uEiJmkuTSCTC6tWr8d///hc7d+4Ez/M4ffq0xfxChmEwc+ZMKJVKCvQIIRUQb1xx66j85vYQUpHJZDJ8+eWXGDt2LLZu3YoLFy7g+fPnMBgM8PPzQ9u2bTFmzBi0adPG7rrbtWuHQ4cOYcOGDTh+/DiePn0KnudRo0YN9OjRAxMmTEBAQAB+/fXXAuvp168fWrdujb///hvnzp3Dw4cPkZ2dDalUCj8/P4SGhqJnz57o3LlzvgsvZs2aBU9PT2zfvh1xcXFgWRYeHh5IT0+Ht7e3RZuPHDmCHTt24MSJE7hz5w4yMjIgEong7++PVq1aYfjw4ejYsaPdz0dZk0qlWLhwIYYMGYLNmzfj6tWrUCqV8PT0RIsWLTBp0iS0b98eX331VVk31WYMTwmtqiSVSmWxhDwkJMRijkZVEhUVBb1eD6lUihYtWpR1c8pc9MW7WPX+jw6dW71eID5c934xt6jyoddc6YmJiYHBYIBEIkGDBg3KujllSq1WC/n6XFxcyro5VZ6jr017P79pXIUQYqFh6wZQeLg6dG7rHqFgDdSrRwgh5QUFeoQQSwzQfmB44eVeIpGK0XloR0qGTAgh5QgFeoQQC2KxGD1e7Qa5Ql54YTMdBrWHixsNBxFCSHlCizEIIXm4erhi6jdvYuX7P0KXW3iG/ybhjfHqzBF2bwxOCCHWXL161SJNS1FVtr157UGBHiEkD7FEjDqN62DOivewacmWfHfJcJI7ofOQjhjy9uBSbiEhpDI7d+4cVqxYUWz1UaBHCCEvEUvEqFYnAHNXzUL8wwSc3n4GibFJ0OsMcHV3QcsuzRHevx0kUonF5uyEEELKDwr0CCH5Mi2sCKxbDWPmjrII6AwGFhJaeEEIKQEzZ87EzJkzy7oZlQIFeoSQQlnrsaMgjxBCyj8abyGEEEIIqaQo0COEEEIIqaQo0COEEEIIqaQo0COEEEIIqaQo0COEEEIIqaRo1S0hpExwLAeWZSESicDzPHgekMroLYkQQooTvasSQkqVQW+ARCpBwuNEXDt5HTlZakhlEgQGVUNYn7bG3H2M9ZQuhBBC7EOBno0+++wz/PXXX5gxY0axJHGMj4/H+vXrcebMGSQkJEAul6NOnToYNGgQxo4dC2dn52JoNSHlC8/zuBVxG0f+Ooan957lOb5j9W6069sWg14fAJmzDBIpvUURQkhR0LuoDSIjI7Fp06Ziq+/UqVOYPXs2cnJyhJ/pdDpERUUhKioK27Ztw+rVq1GzZs1iuyYh5cH+9Qdx8PfD+R7X5GhwesdZ3LkQjXeXTYeblxsFe4QQUgQ0NlKIW7duYcaMGeA4rljqu3fvHmbOnImcnByIxWKMGTMGixcvxoIFCxAaGgoAuH//Pt555x3k5uYWyzUJKWscy+H0jjMFBnnmUhPSsGLuarAGtoRbRgghlRsFegU4deoUpkyZApVKVWx1LliwAFqtFmKxGKtXr8bnn3+OIUOGYNy4cdi4cSMmTJgAwBgQ/v7778V2XULKEsty2Lv2gF3nJD9LwdndETDoDSXUKkIIqfwo0LNCp9Phhx9+wNSpU5GVlVVs9V67dg1Xr14FAAwbNgzdunWzOM4wDD7++GMEBwcDANatWwe9Xl9s1yekLBj0Blw+egW5Kvt7qM/ujqChW0IIKQIK9F4SERGBAQMGYOXKleA4Di4uLpgyZUqx1L1//37h9muvvWa1jEgkEo4plUqcP3++WK5NSFmRSCU4f+CCQ+emxqfiYdSjYm4RIYRUHRTovWT37t2Ii4sDADRr1gxbt25Fjx49iqXuS5cuAQA8PDzQpEmTfMu1b99euH3mzJliuTYhZSk9KcPhc9MS02iuHiGkUDzPY8+ePZg8eTLCw8PRvHlz9OzZEx988AGioqLKunllhsZErPD29saMGTMwduxYiMVipKWlFblOlmXx8OFDAEBwcHCBOcLq1q0LsVgMlmVx9+7dIl+bkLLHO34m7/i5hJCqQaPR4L333sPJkyctfh4fH4/4+Hjs2bMHs2bNwltvvVU2DSxDFOi9ZPz48ViwYEGx57FLTU2FTqcDANSoUaPAsmKxGH5+fkhKSkJCQkKxtoOQsuDh4wFlSqZD53r6eRqTKBNCSD4+/vhjIcgLDg7G6NGj4evri9u3b2PTpk1Qq9VYsmQJAgICMHTo0LJtbCmjoduXNG/evESSFaenpwu3vby8Ci3v4eEBwDhPj5CKzKA3oG2fNg6d6+nngQah9Yu5RYSQyuTcuXPYu3cvAOPUpx07dmDy5MkYPHgwPvjgA/z999/w9PQEAHz99dfFmkmjIqBAr5SY58RzcnIqtLypjEajKbE2EVIaJFIJOgwMh0wus/vcjoM6gOdo6JYQkr9169YBACQSCb788ss8n7HBwcH45JNPABg7T7Zu3VrqbSxLNHRbSlj2n8nkMlnhH3imMgZD6eQQe/DgQZXdW9SUwkav11fpCbslRS6XIzg4GL3G9MCBXw/ZfJ6Hrwe6jugClmNxO+p2Cbaw9NFrrvQYDAaIxWIwDAO1Wl3WzSk1PMeCNxgAjgNEIjASCcAY3+N5nq80z0VmZiYiIiIAAB07doSPj4/Vx9a9e3d4e3sjPT0d+/btw5gxY0q7qXmwLAudTofc3Fy73gfs3cCBAr1SYv4Nw5bceKb5fFKptMTaZI5lWYtgtKqivIXFT6/XIzc3FwMn94cyRYnIfYWnWlF4KjB98dtwkstw7/69Sv17qcyPrbyp7At7eJ4Hr1GDzcwAl5Od57jI1Q1iDy8wzi5l0LqScfXqVSHwCQsLy/d3zDAM2rRpgyNHjuDWrVvIzMyEu7t7aTY1XzzPl+j7AAV6pcTV1VW4rdVqCy1vKlMS8wWtEYvFVb5HDyi9wLqqefjwIRo1aoTX5o9F9XrVcXzLSWQ8z5tyRSQWoXmnZhgxfSjcvd0RFx8HlmUd+r3IZDJ4enpCKpWCZVmo1epiTYBeFPSaKz3moyIMw5RhS0oWp8mFPjkBvC7/zxcuJxtcTjYYqROkAdUhcpaXYgtLhimbBQDUr1+/wN9xvXr1ABgDqwcPHqBNG8fmDhc3hmEgkdgejnEcZ1fHDAV6pcTNzU24nZlZ+OpDUxlvb+8Sa5O5+vXrQ6FQlMq1ypuoqCjo9XpIpVK0aNGirJtT6XUe2hFdh3fGnQvRuH4qCupsNaQyCaoFVUPnIR2h8FSANbCQSCUICgpy6Bo8z4PjOIjFlqt1DXpDudhpg15zpScmJkYYvnVxqTw9Web02ZnITnhiHKa1Aa/XQpfwBG51giF18yjh1pWs5ORk4XZwcHCBv+NatWoJt9PS0sr89SAWiyGTySCRSNCgQQObz1OpVLh3757N5cv+Ha+K8Pf3h6urK3JycgpNmcKyLFJSUgAA1atXL43mEVJqTN9cG7UNQZPwxkJPsnkQ5mgwxhpYiCVipCWm49T207gVcRs5WWpInaSoGVwdnYd1QtP2TcBxPCSUsoVUAgZ1DrKfPLQ5yBNwHLKfPIR7vRBIXFwLL19O2ZPRwrTyFqhaGS0o0CtFwcHBiIqKsuhqtubRo0dCt2zDhg1Lo2mElLqXg7mi9rQZDCwMOj1++XQ9bkfesZirk6vKxZ20LNy5eBdeAV6Y8J9xqN8iGCJx1ZyuQCoHnueR8+yx/UGeCcchJy4W7g2aVNhhbfPMFIVltDBfCFmVMlrQu1wpCgsLA2DsMo6Jicm3nPn+tqZzCCH5Y18Eed9N/wG3Im4XOOk+43kGVs3/EXcuRtPWaqRCM+Rkg9UWLWBhNbkwWFm4UVGYz8EsLKOF+fHSymhRHlCgV4r69esn3N6wYYPVMizL4q+//gJgnNfXuXPnUmkbIRWZWCLGr19sQOLjRJvKswYW6z/7HVlpWZV+JSapvDRpKcVSj7aY6ikL5gsWC1u5aspmAdiW5qyyoECvFLVs2RKhoaEAgK1bt+LAgQMWx3mex5dffolHjx4BAF577bVSW3VLSEXFcRxS4lJwO/KOXefpNDqc3H7a7pxUhJQHPMtCn5l35bojdJkZ4Ctoei3zBRWFZbQwD/Rs2bigsqBArxjFxcUhJCQEISEh6Nmzp9Uyn3zyCaRSKTiOw+zZszF//nzs2rULmzdvxmuvvSb05gUFBeHtt98uzeYTUjHxwMltZxw69fyBi7TzBqmQOL2u8EJlWF9pMc+FV9gCC/PjpZXRojygxRilrGnTpli2bBnmz58PtVqN3bt3Y/fu3RZl6tSpg19++cUi9x4hxDqRWISbEbccOledpcajm4/RsLXtqQ0IKQ94rnh74Iq7vtJinoIpMTHRIoXKy5KSkoTbVSmjBfXolYHevXtj3759mDRpEoKCguDs7Ay5XI4mTZpg9uzZ2LFjR4EvVkKIJXWW49s5qZQqmqdHKhxGVLzpgYq7vtISHBws3C5okaP5cYZh7MpbV9FRj54NwsPDbUpOWLNmTZuTGFavXh0ff/wxPv7446I2j5AqTyqTQJtb+I4zVs91llXY1BKk6hJJi3MxAVPM9ZWe0NBQSKVS6PV6XLhwAePHj7dajmVZXLp0CQDQqFGjcrP9WWmgHj1CSIXCcVyeBRSzls9E+wHtIHWybzsxhmFQI7jqDOGQyoMRiyH1KDhBsK1kHp5gxBWzR8/d3R3t27cHABw/fjzfDQn27dsnJFceMGBAqbWvPKAePUJIhWDaOSPxUSJO7zyH5LhksAYObp6uaN0jFGPmjMLwd4Zi1497EbE30qY6Q9o2hHdA8XxYElLanH38imXlrZOPXzG0puxMnjwZZ86cgV6vx5w5c/DLL79YbOn54MEDfPXVVwCM+86PGjWqrJpaJijQI4SUeyzLIv5BPLYs24an957lOR519hbcvBToOaYHxs0bDU8/D+xff7DQersO71xu9r8lxF4SVzeInZyLlDRZ7CyHxNWt8ILlWOfOndGvXz8cOnQI165dw9ChQzFu3DgEBgbizp072LhxI3JycgAA77//fpVacQtQoEcIKedYA4v7V2Pw83/XQa/LPyFqdoYKu9bsQfKzZLw2fyyy0rJwdndEvuVb92iF5h2blUSTCSkVDMPAtVZdZD2659g2aCIRXGsGVYo5qgsXLkROTg7Onj2LuLg4LF682OI4wzCYMWMGxo4dW0YtLDsU6BFCyi2O45CelI5f/re+wCDPXOS+C/Ct7oshb7+CS0euWF2k0bpHK0z6eAJ4nq8UH3Kk6pK4uMKtTjCynzy0L9gTieBWJxgSl8qRxksul+OXX37Bnj17sHPnTkRHRyM7Oxuenp5o06YNJk2ahDZt2pR1M8sEBXqEkDLBsiwYMBCJC14TdmTjMehy7UvmemzzCXR/tRvC+rQRevUYhkHD1g3QdXhntOjcHBzHUZBHKgWpmwfc64Ug59ljm4ZxGZkT3GrXqzRBngnDMBgyZAiGDBlS1k0pVyjQI4SUGtbAghExiLn2AOnPM8AwgHc1bzRoVR8cy0EssVz5p9fqceXYNbuvo85S49qJa3jlrcGo17weZM5S1KxfAz6BPjDojZuZi0SUdIBUHhIXV7g3bApDTjY0aSlWFmkwECncIHb3hEjuWumCPJI/CvQIISWONbDQ5mpxatsZROyLhDIl0+K4dzUvdHqlI7oO7wypTAqxRAyWZXHjdBR0Gse2Zrp89CrC+7dDm56hYESM0HtHCy9IZcUwDKQKd0gV7uBZFpxeB55jwYjEEEllyNVqabpCFUTveISQEsUaWKQmpGHF3NVQpiitlklPysCen/chct95zFgyDZ5+nuB5HlkZ2Q5fN/vFuYUNDRNSGTFiMcRieVk3g5QD9A5ICCkxHMshW6nCD7NW5hvkmUtNSMP3s1YiV5ULnueLNLxKAR4hhFCgRwgpQYyIwY5Vu5CVnmXzORnPM7Dnl/0QiUXwr+V4Ilff6r4On0sIIZUFBXqEkBKjzlbjxukou8+7fOwKOJZDk/DGcPdxbE/KzkM6gmMdyC1GCCGVCAV6hJASYdAbcG5PJFgDa/e5ulwdzh+4CI7j0WlwB7vP96vph4atG9DwLSGkyqN3QUJIiRCLxUiMTXL4/MRHiRCJGPQc3R1+NWwfhhWJRXj13eEOBZiEEFLZUKBHCCkRjIiBQWdw+Hy9Tg/wgNRJiplL34GvDcGeWCLG+A/GoVGbkDw5+QghpCqiQI8QUiJYloWrh+NJWV09FOA4YxJld293vP/jHPR5rRcUnoo8ZUViEVp2aY7ZK95F216taciWEEJeoDx6hJASE9qtJc692ILMXq27txQCNrFEDLlCjkGvD8Cg1wfgxpmbSH6WDNbAQuGpQOseraDwNAaGFOQRQsg/KNAjhJQIsViMkDYN4VfDFynxqXadW7NBTdRuVDtvnS+GY1t2aQ6e440/ZP7Z7UIspuFaQggxR199CSElxmBg0WtsT7vP6z2uBwwFLKYQS8SQyCTGf7SlGSGE5IsCPUJIiZFIxOj0Sgd0Hd7Z5nP6vNYLrXuEQkKLKQghpMjoqzAhpMSNem8kPHw9cOTPo9CotVbLyBVyDJzSH91Hdi3l1hFCSOVFgR4hpFT0HtsTPV7thguHLuHioUvGvW8ZBt7+Xmg/oB3a9m5DCykIIaSYUaBHCCkVIrEIIrEI7QeGo/OQjhbHDAaWhmoJIaQE0NdnQkipshbQUZBHCCElgwI9QgghhJBKigI9QgghhJBKigI9QgghhJBKigI9QgghhFRKn332GUJCQrB8+fKybkqZoVW3hJByied4gAFYrQ7qFCVYnQFSuRNcq3mD50GpWAghBYqMjMSmTZvKuhlljgI9Qki5pEpMQfz5W0i98xg8ywk/lyrkqNa6Eaq3awKJ3BkisQgcy4EzKyOSiCASUSBISFV169YtzJgxAxzHFV64kqNAjxBSrvA8j0eHziPh/C2rx/WqXDw7fQ2GXA1q9wyDTO6EJ/ee4sH1h9BpdHB2dUbjsBBUr1cdrIGFmFK3EFKlnDp1CvPmzYNKpSrrppQLFOgRQsqVgoI8AAADBA/oiMC2TXBubyTO7DyLhEeJFkV2rgbqNK6NHq92Q5terUu4xYSQ8kCn02HNmjVYvXo19eSZobENQki5wHMcsuKSCw7yANTtE46A1iFY+7/12Pzd1jxBnsmT6Kf49YsN2Ph/W8DzfEk0mZByi9MboM9WQadUQp+tAqc3lHWTSlRERAQGDBiAlStXguM4uLi4YMqUKWXdrHKBevQIIeUDwxQa5HkEBaJmxxb47csNuHHmpk3VRuyNhLOrE4ZNHQKGYYqjpYSUSzzPQ5uejpwnT5H7PBkw/4LDMJD6+sApMBBSL88ya2NJ2b17N+Li4gAAzZo1w8KFC5GWlob169eXccvKHgV6hJBywaDRITX6cYFlAsOaIPZ2LC4fvWpX3Se2nkL3kV3h5e9VlCYSUm7pMjORfuMmDPnNS+N56FNSoU9JhdjFBdLQlpB5eJRuI0uYt7c3ZsyYgbFjx0IsFiMtLa2sm1Qu0NAtIaRcUD9Pt1hd+zKZmwt8GgXh1M6zdtfNczxObT8LlmWL0kRCyiVNSipSzl/MP8h7CatWI+X8RWhSUku4ZaVn/PjxOHHiBMaPHw+xmBZgmaNAjxBSLrA6fYHHfRoHQafR4fqpGw7Vf/7ABUq5QiodXWYm0q5eA2/nlxieZZF29Rp0mZkl1LLS1bx5czg7O5d1M8oletcjhJQLErlTgcdlrnJkpihh0Dk2qTwnMwfaXK1D5xJSHvE8j/QbN+0O8oTzWdZ4Pi1WqtRojp4VPM9j79692LZtG6Kjo6FWq+Hn54ewsDCMHz8eLVq0KFL9PXv2RHx8vE1lz549Cz8/vyJdj5CKQFHdDxIXJxjU1oMxRiQCW8DQri1YA6VcIJWHNj3d5uHa/BhUKmjT0+Hs41NMrSLlDQV6L9FoNHjvvfdw8uRJi5/Hx8cjPj4ee/bswaxZs/DWW285VL9KpUJCQkIxtJSQyoVhgGqhIYg7F2X1uEGjhYenwuH6xRIxnF0K7jUkpCLJefK0mOp5RoFeJUaB3ks+/vhjIcgLDg7G6NGj4evri9u3b2PTpk1Qq9VYsmQJAgICMHToULvrv3fvntBNPnXqVDRv3rzA8h6VbFUUIflhRCJUD2+GhAu3wRnyDkUpHyWgbp9wBLeoh4dRj+yuv2XXFrQ/Lqk0OL3BmEKlGOQ+fw5Ob4BISiFBZUS/VTPnzp3D3r17AQDt27fHTz/9BCcnYw/A4MGD8eqrr+K1116DUqnE119/jV69ekGhsK+H4d69e8LtYcOGoW7dusX3AAip4GSucoSM7IHorccAznLekCoxFZnPnqPr8M4OBXrdR3YFz/FgxJRLj1R8rEZjmSevKHgerFYDkdTxHnNSftHXWzPr1q0DAEgkEnz55ZdCkGcSHByMTz75BACgVCqxdetWu69hCvScnJxQp06dIraYkMqFEYvgE1IHTcf1g8TKMGvS5Wi07NICgXWr2VVv/VbBqNs0iHr0SKXBs8W70wVvqNw7Z1Rl9K73glKpREREBACgS5cuqFWrltVyAwcOhM+LuQwHDx60+zqmQK9+/fqU6oEQKxiRCJ71aiB87niEDO8Ot5r+YCTGvFjpMU+Rm56F6Yunwqeat031Va8XiLe/ehNcERdyEFKeMOLiHZBjJDTAV1nRb/aFy5cvC5sgt2/fPt9yIpEIYWFhOHjwIG7cuIHMzEyb59HxPI+YmBgAQMOGDYveaFKhsQYWYom40J9VRaaeN99m9eDfsgEA498PwzDgeR4cy2Hej3OwackW3Dx3y2oQJ5FJ0KZnKEbPehViqZh680ilInZ2Nq5gKo7hW4aB2Ily0FVWFOi9YArAgMKDsPr16wMwfvDcv38fYWFhNl0jPj4eqhdL4Rs0MH54qVQq3L17Fzk5OfD390fDhg0pq3clx/M8crJycGbnOVw8dAkZyUoAgJe/J9r1DUOX4Z3g6u5K+7ICEJn9LZieD4ZhIJaI4aKQ483PpyArPRund5zB49ux0OZq4ezijIatG6DzkI6Qu8rBg6fec1LpiKQSyAP8kZv0vMh1yQMCaCFGJUa/2RfM89rVqFGjwLLVqv0zPyg+Pt7mQM98IYZIJMKMGTNw/Phxi22ZPD09MWHCBPz73/+mLN+VjGm19c7Vu3Fy2+k8vVCpCWnY/+tBHNxwGN1HdsWwaUMAgAK+fJh66Ny93TDgX/0sekLNe0YZ0PNHKifXOrWLJdBzrWN9qhKpHOhr7gvp6enCbS+vgjc+9/T0FG4rlUqbr2Ee6H377bc4cuRInr03lUolVqxYgYkTJ1q0iVR8DMNgw9d/4fiWkwXOF+NYDse3nMTvX/9JQZ6NXh7upuFvUhU4eXtDYmfmh5dJFAo4eds235VUTBTovaDRaITbL6+2fZlMJrN6XmHMAz2pVIq33noL+/fvx82bN3HmzBl8+eWXwi4YUVFRmD17tjBvkFRsrIHFyW2ncenIZZvPuXzkCk7+fRqslZxyhBDCMAy8WzYH4+B0H0YsNp5PXygrNRq6fcFgtrTcPJCzxvy4wY4l6c+fG7vYnZycsG7dOrRt21Y45u/vj1GjRqFr164YPXo0kpKScP78eezfvx+DBw+2+RqOevDgQZWdx6TX64X/o6Ks78pQFO7u7qhTuw5ObTtt97knt51GtxFdEBsbi6ysrGJvGykbJf2aI/8wGAwQi8VgGAZqtbqsm1P8pFIomjZB9q3bgD0dAyIRFE2bwCCVwlAZnxcAWu0/2ynq9fpy9/tnWRY6nQ65ubl2vQ/Y2wFEgd4L5vPh9Hp9gcGeTqcTbhcWFJrbtGkTVCoVsrOzERgYaLVMQEAA/vvf/2LGjBkAgC1btpRKoMeybJ5h5KrI9AFcnDw9PRF9+S5SE9LsPjctMQ3Rl+6iekgg0tLsP5+UfyXxmiPW8cWVYLickXh5wq1VS+TcvQfOhmBG5OoC15AQSNwUlfY5AYA2bdrg6tWrwv3y+lh5ni/R9wEK9F5wcXERbmu1WpsDvcKGeV+mUCgK3U2jZ8+eUCgUUKlUuHbtGjiOK/HeNrFYXOV79ADjkHpxc5G74HbkHYfPvxVxG/VbBZdI20jZKOnXHPmH+ahLZR6ilLq7wSOsDQzKTGgSEqBPSbUswDCQ+vrAqXogJB4eVfb9vjxiGAYSO/IYchxnV8cMBXovuLu7C7eVSiXc3NzyLWu+AMO7BCaxisVi1KlTB7dv34ZOp4NSqSyR65irX7++3du5VRZRUVHQ6/WQSqVo0aJFsdfP8zzU2Y4PGahVuZDKSqZtpGyU9GuO/CMmJkYYvjX/Ql9pubrCo0Z1cHoDWK0GvMEARiKB2MkZGr1OyEdZJZ6Lck4sFkMmk0EikQgp12yhUqks5vwXhkL6F4KCgoTbiYmJBZZNSkoSblevXr1E2kPf8isPjuMgdXL89ylzltKiHEKIXURSCaQKBWSenpAqFJQnrwqjQO+F4OBg4bZ58mRrTMcZhrE5Cn/27Bl+++03fPfddzh58mSh5U0LN6RSqc07b5Dyied41G7oeJ6qWg1qgufK59wSQggh5RsFei+EhoYKvWgXLlzItxzLsrh06RIAoFGjRhZDvgVJTk7G119/jR9//BGbN28usOzjx4+FXsXmzZvTThkVnEQqQbt+YXCS2zefEwCc5E4I798OEvo2TgghxAEU6L3g7u4u7HF7/PhxJCQkWC23b98+IZHxgAEDbK6/WbNmwhy4M2fO5Fs/AKxevVq4PXToUJuvQcoviVSCdn3bFl7wJWF92lCQRwghxGEU6JmZPHkyAOOKuDlz5gj70po8ePAAX331FQDA1dUVo0aNsrluJycnjB49Wqh/7ty5eeoHgLVr12LXrl0AjPMGhw8f7shDIeUMwzAY8tZg+Nfys/kc/1p+GPr2K5V6pSAhhJCS5VBXgVarxbVr15CSkgIXFxc0aNAAtWvXtquOmJgY3LhxAwDw6quvOtKMYte5c2f069cPhw4dwrVr1zB06FCMGzcOgYGBuHPnDjZu3IicnBwAwPvvv59nJeyFCxcwadIkAEC7du2wYcMGi+PvvPMOTpw4gcePH+Pq1asYNGgQxowZg6CgIGRkZGD//v24fNm4c4Krqyv+7//+z+70LaR8YkQMpE5SvPf9TKyctxoJjwpe8FO9XiCm/980SJ2kYEQU6BFCCHGMXYFebm4ufvjhB2zatCnP1l+NGjXC9OnT0bt3b5vqOnPmDBYtWgSRSFRuAj0AWLhwIXJycnD27FnExcVh8eLFFscZhsGMGTMwduxYu+t2c3PD+vXrMWPGDNy6dQtJSUn4/vvv85QLDAzEkiVL0Lx5c4cfByl/xBIxXD1cMP/HObh05ArO7DyLZ/fjLMrUalgTXYZ1RlifNmBEDM3PJIQQUiQ2B3rp6el4/fXXce/ePavZpaOjozFz5kz07t0b33zzjc052cpbpmq5XI5ffvkFe/bswc6dOxEdHY3s7Gx4enqiTZs2mDRpEtq0aeNw/YGBgdi8eTP27t2Lffv24fbt28jKyoJCoUBQUBD69u2LMWPGwNXVtRgfFSkvxGIxIDbOveswMBzJz5KR/jwDPA/4VPOCfy1/GPQGmpdHCCGkWNj8aTJ37lzcvXsXgLFXq3nz5qhVqxaSk5Nx7do1GAwG8DyPo0eP4sGDB1i/fj2qVatWYg0vSQzDYMiQIRgyZIhd54WHh9uUxFAikWDYsGEYNmyYgy0kFZ0pkPOv5Q//Wv5WjxFCCCFFZdMnyqlTpxAZGQmGYeDn54cffvgBrVq1Eo6npKTghx9+wNatWwEY04NMmDABf/75JwICAkqk4YQQQgghpGA2rbrdvXu3sbBIhFWrVlkEeQDg5+eHL774AsuWLYOzszMYhkFcXBwmT54spCIhhBBCCCGly6ZA78aNG2AYBp06dUKzZs3yLde/f3/8+OOPkMvlYBgGjx8/xltvvYXc3NxiazAhhBBCCLGNTYFeWloaANi0+Xa7du2wcuVKSKVSMAyD27dv47333qO9OgkhduE5HpyBNf5j2XK3cIsQQioCmwI9U5Amkdg2SbxDhw5YtGiRcP/MmTNYsGCB/a0jhFQ5HMsCAHKS05F4ORpxEVFIvByN3LRMi+OEEEIKZ1Pk5uXlhefPnyM2Ntbmivv374+nT5/iu+++A8Mw2Lp1K6pXr46pU6c62lZCSCXG8zwYhkHKrUdIuHALqoTUPGXca1dDjfbN4Nukbhm0kBBCKh6bevSaNGkCnudx7NgxZGVl2Vz5W2+9hREjRoDnefA8j++//x6bNm1yuLGEkEqMB+5uO477O05aDfIAIOtpEqK3HMWDfedKuXGEEFIx2RTo9enTBwCgUqkwZ86cPLtiFOTzzz9H+/btARi/sX/++ef48ccfab4NIcRCzN4zSLn50KayiZfu4PGRi/Q+QgghhbAp0Bs0aJCwl+25c+cwaNAg/PTTT4iMjER2dnaB50okEqxcuVLYzovjOCxbtgxr1qwpYtMJIZUBz/FQJaXh+dXCk42bi4uIgi4rp4RaRQghlYNNgZ5MJsN3330HhUIBnueRkJCApUuX4vXXX0d0dHSh57u6umLdunUW+fdUKpXDjSaEVC4JF27ZfxLPI+HibfC0op8QAiA1NRVLly7FsGHDEBoaitDQUAwYMABfffUVHjx4UNbNKzM2BXoA0KxZM/z5559o0aKFMOcOAPz9/Qs508jNzQ2///47Ro8eTcMthBAY9AZwHAfOYEDKLduGbF+WdO0ewDDF3DJCSEVjGm1cs2YNoqOjoVaroVar8ejRI/z+++8YNmxYlR1JtGtTzYYNG2LLli24fPkyjh8/jpiYGLv2s5XJZPj888/Rt29frFixAtevX7e3vYSQCo41sDAYDFi/ZiPkLnIMH9IbnN6xlCkGtRasVgeJs1Mxt5IQUlHcvXsX06ZNg1arBQB0794dnTt3hkKhQHR0NDZv3gyNRoOlS5dCoVBgwoQJZdzi0uXQ7ult27ZF27ZtHb5o586d0blzZzx+/Bj37993uB5CSMXCsixUqhy8NX4Oom/FYMa8N4o89MqzNEJASFX2xRdfCEHeggULMG7cOOHY8OHD8dprr2HUqFHIysoShnYVCkVZNbfU2Tx0WxLq1q2Lfv36lWUTCCGliON4TJs0H9G3YgAAWZnZkLnKHa6PETEQO0uLq3mEkArmwYMHuHz5MgBjJ5J5kGcSFBSEN998E4BxfcDp06dLtY1lrUwDPUJI1aHXG7D774O4deOu8LNLkdch91DAo47tU0DMeYfUASOitzFCXmbQ6JCTnIHsuGTkJGfAoNGVdZNKhFKpRPv27eHr64v+/fvnW65Ro0bC7fj4+NJoWrnh0NAtIYTYSyqVYNPvOyx+Fn3rPm7fuIuAto2R+STJ7jqrhzcDeJ4WZBACY67azNhEJFy8g7S7sca/DROGgWfDWvBr1QButQPKrI3FrW3btvjtt98KLZeU9M/7i5+fX0k2qdyhQI8QUiru3XmAe3fypjjY+Nt2fLboA8T5XYM6RWlzfW41/eEZFFiMLSSVHc/zgCn2YQCmEn1BUCWk4t6Ok1CnZFgvwPNQ3nsK5b2ncPb1QOMRPaGo7lu6jSwjSqUS69atAwDI5XJ07dq1jFtUumjMgxBS4nieR+yjp1aPHdhzHLej7qLRuL5w8nC1qT65rweaju9fajn0eJ4HZ2DBsazwP6lAeOM/TXYu1Jk5UGflQKvWWqQKq8gyHsbhxvo9+Qd5L9GkZuLG+j3IeBhXwi0rO1qtFo8ePcLPP/+MV155BbGxsQCA//znP/D29i7bxpUy6tEjhJQ4nudhMFgPjvQ6PWa8/iHWb/kezV4fgsf7ziE95pnlsNMLjIiBT+O6aDCkC0QSSYnPz+NYDiKxCJr0LKTceghdTi5EYjHkPh7wb9kAIrEIYJhK1TNUmXAsB71GB41aAydnJ2QmKy2OiyViyN1c4OLpCkZUMX+PqoRU3Nl0BJzeYNd5nN6AO5uOoOWUVypdz96tW7cwcuRIi5/5+fnho48+wsCBA8uoVWWHAj1CSIkTiUTwr5b/h4kyIxOTRs7AV999iO6v9UNOWiaSr95D1rPnYHU6iJ1k8AyqjsCwJpC6OgM8X+JBHs/xyIxNwLMz15EZm5jn+OPDF+Dfoj5q92gDibMMIrG4RNtD7MOxHB5ffYD42GdwD/CAzEquRdbAQpWRDU1OLryq+0AkFlWoYI/nedzbcdLuIM+E0xtwb+dJtJ42skI97sKYz8czUSqVOHDgAJo0aYKgoKDSb1QZokCPEFIqWoe1hJ+/D1KS06wez85S4d03P0ZQcG2MHj8Ew0cPRN0+7YTjHMv+E0yV8IcS/2J7tUeHIv+Z0/USVqdH4uVopN1/ihb/GgQnTzdjD18lxBpYiCXiQn9WXrAGFkkPErD3//5G4xGhhZY36AzISEiDdw1fMOKKE/BkxibaPFybH3VyBjJjE+FZt3oxtarseXl54ZNPPoG3tzeSkpKwa9cu3L17F4cPH0ZkZCR+++03NG3atKybWWoo0COElAqe4zBy3GCs+b7gFXKxD59i0ecr8N03a+Dl5QEPL3f8unU53D3cSqWdHMsh9c5jPDoYaVN5XVYObv6+H6FTR0Akr1w7dHAcB1ZnwM1j13DnRBSy07IAAAofdzTp1hzNe7eG1Knkh9DtJZaIcfznA2DzmS5gjUFngFqpgqu3W4Xp3Uq8dKfY6qlMgV6bNm3Qpk0b4f7kyZOxYMECbN68GdnZ2Zg3bx727t0LcRXphS9ff52EkEpLIpXgtSkj4e3jaVN5g96AlOQ0hHUIhZt76WWxZ0QMHh+5YNc52kwV4iNvgmNLZ3FIabm4/RxWv/4dTq47jOTHScjNUiM3S42Ux0k49esRrHnjO5z/+2xZN9MCx3FIepCAlNjndp+rzlaXQItKhkGjQ2p0bLHUlRodW2nz7AHGqSP/+9//EBISAgB49OgRzp4tX6/bklQqgR5XSivjCCHlm6vCFat/X2xz4Na9d0e8/+nMEuth4VjOuIrWwBpvcxzSY55Bl5Vjd11JV+9WqnR+x385iIiNJ2HQ6vMtY9DqEbn5FI7+uK8UW1YwhmFw4+Blh87lDBy0OZoKsRJXm5VjdcGSQ3geumz7X/MViVgsxquvvircv3r1ahm2pnQ5HOhdvHgRGzZssKnsq6++irfffhunTp1y9HKEkEpAKpWgQUg9/LlrDdp1zH/ulJu7Av+eMQHLfv6q2IMnnufBcxxYnR4pNx8gPvIm4s/fROqdxwDHwzMoEMEDO0Ji5zCsXpWL9Jhn4LnyHyQUhDWwuHXsGq4fuGTzOVGHr+LGoSt2DZWWFIZhkJFgfR6oLVg9m++8zPKE0+UfgDuCLSCgryzq1q0r3E5PTy/DlpQuu+foPX36FJ9++ikuXLgAd3d3TJw4scDy6enpiI6ORnR0NE6fPo02bdpg8eLFCAykRKeEVEUSqQQ1awfil43L8DQ2Hpt+246Ye4+h0+rg4emGHn27YNCw3hCJxRAV89wvjuWgy87Bs7M3kBwVA05nuVrxodwJAa0aokaH5vCsVwO3/jgIrTLb5vo1GdngeQ4Myv/cH57nwXEcRIwIjOifaFosEePyrvN213dlz3m07Nem8IKloCijSBWhNw8ARLLi3eNZ7FQx94zesWMHTpw4gWfPnuG3336Du7t7vmW1Wq1w29XVtpydlYFdgd7Vq1cxbdo0ZGVlged5ZGVlISYmBg0aNMj3nPPnz1v84Vy+fBnDhw/Hr7/+arH3HCElgWM5MAwDTUYWWJ0eIqkEzl7uYBiUuwnkVYlEYnzrqVWnOub+9x2LSdF6vR5SafF/6HAsh+z4ZNz+6xDYfOYjGXK1iI+8iZRbD9F0fH80nzgAN9buhl6tse0i5jsvlEMcy4ERMcjNUuPpzVjoc7WQOstQo0ltuPm4gzWwSI9PRXp8qt11KxPT8TTqMWo2rVPmq49dbEy8bY0xN6Lt5a0FhqWxmMPJ3dW4+rwYAlNGxEDmVjEDn/v37+PQoUMAgMjISPTr1y/fslFRUcLtevXqlXjbygubA71nz55h2rRpyMzMFH7Wtm3bQr9xd+3aFd9//z22bduGM2fOADDms3nzzTexfft2+Pv7O9h0QvLHcxwMGh0SL91B4pW7FnOupC7OCAhtiOrhzSBTyOHu7o60NMeHeojjGIbJs/KtpII8TXombv950KYhKl22Grf+OIBWbw5Fvf7tcW/7SZuuI3NzsegdK094nkdiTDyu7jmPh5fuWywcYUQMgloFI3RQOwS1CkbY8E64tOOc3deIOR+NGk1qF2ez7cYaWIR0aopHl2PsPpdhGDgr5IUGaqbgjmM55GapjcO94CESi+CskEPqLAPP8yUa8EmcZfBtHGScclBEPo2CIHGWFUOrSl+XLl2E7c3++uuvfAM9pVKJrVu3AjC+x3Tr1q3U2ljWbP7a9dlnnyEzMxMMw6BWrVr4448/sGHDBgQHBxd4nkKhQL9+/fDTTz/ht99+Q0BAABiGQVpaGr788ssiPwBCXsZzPNLvP8XFpX/hyYkreSbW69UaxJ2LwsVlG5F09R7q1KkDT0/PsmksKRE8x/3zjzd+AD86fMGueUh6VS6enroK36b1jEmaCyF2lsGnUZ1y21N8fusZbP74V8Scv5tndTDP8Xh89QG2f/EXTqw9iC4TeqL1K+F2X0OToynz3jyxRIyGHZtA7u5i97lOCudCA3We58HqWWQmZSD1yXOo0rORm61GbnYucpQ5SItLRdqzFGjVJb+oIzCsSbmqpyy0b99eGB08f/481q5dm6eMSqXCzJkzhXl5o0ePRkBAQKm2syzZ9Bd58+ZNnD17FgzDICgoCFu2bEHbtm3tvli7du2wYcMGeHl5ged5HDlyBA8fPrS7HkLyw7EcMh48w53NR8HpC5kYzvF4sPcskq7cRd2gIMhkFfMbLTH+3nmehy4nF5qMbBhytWBEIuNqWp1xXk6DV7qgZueWgB09bim3HoLVGRAQGlJo2YCWDcplkMdzPC7tjEDkZtsWw13bfwmnfjuC7pP7wr9uNbuuJZFKysViFIZh0HZIB7vPcfUseDU4z/PQa/VIj0uFJkeT76ipXquHMjEDamVOiQZ7HkGBcPHzKlIdzj4ecKsdUGHmJr5MJBLh66+/hlwuBwAsWrQIb7zxBjZv3oz9+/fj+++/R//+/XHx4kUAQJMmTTB//vyybHKps2nodu/evcLtb775Bl5ejr+watWqhY8//hhz584FAOzcuVO4TUhR8RyHu9uO2zVv5cH+c/BqWAs+Pj4l2DJSEkyrZxMv30XSlWhoMv5ZOCH39URgWGNUa9UQrE4Hns1FnR5t4FEnENFbj+ZZiGENp2eREvUAfs2CEXf2Rr7lJHIn1OzYosR37HBEbrYa5/46Ydc5V3afR9MeLdFqQFscXrW38BNe8K3jXy4CBpFYhLDhHZGRaNuUDIZh4BHgCYlMAoZhXgSrvOmgUI5jOSgT021e7JGdlgWRRGTTcLAjGIZByPDuuLF+j0PboDESMfzaNUdGfFqF3ALOpGnTpvjpp58wa9YspKWl4ezZs1bz5HXp0gXfffedEBRWFTYFetevXwdgjIRbtWpV5IsOHDgQS5YsQWJiIq5cuVLk+ggBjFtkPb9+3/40ARyPpEvRqNm18K2SSPnBczxS7z7B/R0nrPbe5qYq8ehAJJ4cv4zGY/rAo3YAcuKfwqNOTTQe1Qu3Nx4GbOh9yk3PhG/TuvkeFztJ0fS1fpAqXMrdhyRrYHH9wGWHEjnfOHgZ3V/vh/rhjSB1kgHgjb2muTpc3n0el3dGWJSXyCRo1iu03GyLxvM8+r7zCi6fvQiugOBTIpPAzdcdUmcZcjJUkLvJIZKIATAveoo5iEQiiMQiiEQiePh7IvN5Bjgbey5V6dlwVpRcYKGo7osmY/vgzqYjdgV7jESMwG5t4Ozj8c8WcDV9y91r2Fbt2rXDgQMH8Oeff+L48eN4/PgxtFotfHx8EBoaiuHDh1epeXnmbAr0nj59CoZhLLYUKQqGYdChQwds27YNT548KZY6CRGJxQ5vCZR09S5qdy8fqSFI4XiOQ2p0LO7+fazQVa6sVo/bfx5Es/H94VazBlRxj+BZrz6qhzVBwoXbhV+L5cBYm3fGAF7BNVGvfwc4e7mX+dw0a0RiEW4etT8xrF/daqjTqh5EYhGkMjFUz+LBafVgJGLI/X3QdWIvdB7XDY+vPcSub7cAABp2agKZc/lJ0WEKWDz8vaA36CFmRHBycTIGvQwDiVQMubsLZHInGHQGGLR6KLzdYNAZkJ2aBU12rkXPnUwug4uHK5xcneEbFID0uFQYbOgVZvUsdGotZC5OJRZEeQXXRMspr+DejpM27X0r83RDQIeWcPbxEH5m3AIuB65eigob7Hl4eOCdd97BO++8U9ZNKVdsCvSys43DIb6+vsV24Ro1agAAsrKyiq1OUrWxegPUyY5t8K3P0UCTmQ0Xb4/CC5MyZ9DocH/HSZtTmfAsh+itx9BuzmuQOMmhy0hD9fCmSLh4u9A6pK7GYTf/Vg1gUBvn/sl9PRAY1gTOHgpwLFcugzwA0OXqkJOhsuucBu0bYeCs4dCkZyL+5AVkPXoK/qUeQZdAf3g3a4DgsBC8vXY2/vp4HbpO7A0edmUmKR0vGiSSiOFV/Z/pGTzPQ6vWIiMhDS6eCsjkMmSnZiJHaX2HCF2uDrpcHSQyCbwCveFd0xdqZQ7EUglEYgY8D3AGFrnZudC/lL4nN1sNJxsW9BSForovWr8zEsrYBCScv430+08tp7AwDBS1qsGjYR3IA7ytBnO5WWq4ehU+TxEwDmOD58G86O0s6VXGxHE2BXpSqRQsy0KnK7698ExpWarKpsKk5HFFzMrPFnOmeVIyOJZD4uVou3/fhlwtkqNi4NekDnKePYZHw6bwrFsdykcJBZ7n07Qu0jOzETyoMyRSidAG0+rM8hrkAfb/TdRtXR+D5oxExt2HSIq4mu9cV3ViMtSJycgOroMaPcLx+vfTAaDYE1zbi+d48DDmMtSqNcb7LwIQjuOgTEqHQWcwJotmOfAcD4W3G5xcnJCVkgl1ZuHbgBl0BqTHG4c5Xb0U4HR6IfhhZE5w8XCFXquHOjMHudlqgAdYQ+lsA8owDDyDqkPk4gLPliFgczXg9CxEUjHEcmeIC0myzBry7300PWem/Y7Nd0GROkvh4uEqDFFTwFe+2BTo+fr6Ii4uDklJScV24YQE45urm5tbsdVJqjax1O6NXixInGjVbUXAiBgkXYl26NzES3cQ2KYxGLEYelU2/JrVLzDQ8wgKhMLfG28MehM5KjX2nvoLQPkO7szJ5DIwIsamlbBOrs4YNGcEMh88QdI52+ZOZz58AogY1OzRvlysts1ITMPVfRcRfeqm0KvWfEwYfOr4wdVTAc9q3tCocpH5XCkEZy4eLtDkaGwK8kxYA4vMZCW8q/tAr84Fbxb0iCTGoMrdzwMyuROykpXF+hgLwzAMDHoDxDJpoYGdNQa9ATLeyaJrlud55GapkZ2aZXWxjV6jR6ZGCVVaNjwDvYVFLaR8sOmTsWHDhnj27FmxLpy4cOGCkK6FkOIgkojhXisAWc+e232us5cbnD3pS0dFoM3KgdbGD2XXQB9UD2sC9zqBkDrLwLEcWIMBTj7+4Aw6yNwKmCTPMKjRuSVuXY9G9K0YfLDgXej1BkiL+IWiJJgWWzAi404JxtyBYoilEgS1Csbjqw8KraNpj5YQi0VIirDvfT4zJhZeIfXg7O8DhmdKPQg27l3M4+iP+3Dr2HWrx/VaHfQaPdIT0uAZ4AXPQC8oEzPg5OoEkVgMdabS7uvq1FoYdHpInJ2gV6mFn3MGFlx2DliNFs7uCsDfE9ocG3dWKS5FiblfOpfneagzc5CdWvg0K9bAIiM+Fd41fSGWUrBXXtj0F9mxY0cAQGxsLC5fvlzki54/f15YhNGyZcsi10cIYPywC2znWOLPam0aQ09Dt+Uez/E2rap2r1MNLd8cgtZvj4B7rQCk3nqIp6euIT7yJpJvxEDi4gaZuxdc/X0gtrYjAAPU698B7rWrYfEXK9F3UA+MnzKy3AV5pvyBGQ/j8OhABO5tP4GYPWfx/Oo9sHoDeI5Dz38PgERWSLsZoFX/tlDGxDqUpiPt9n2IxCJwbNGmTzhq39LtVoO8l+lezMmTOsug8HGDq5cbDHoDdLnaQs+1Rp2phtjJyerERE5vgC5LBWeFM1y9FaWadsbq4iEbmW8BZ0wObYAqzfa59BzHQ5mUQUFeOWLTu9aAAQOwcOFC6PV6fP3119i0aZPDyWV1Oh2+/vpr4X7fvn0dqqck8TyPvXv3Ytu2bYiOjoZarYafnx/CwsIwfvx4tGjRosjXuH//PtavX48LFy4gOTkZbm5uCA4OxrBhwzB8+HCau+gAkVgEvyb18PjwBeiy1YWfYDpPJkG1NiFIy0hHtWr2JYglpYdjWRhytS9SX+TPr1kwGg7vBuXjBET9uheZsYl5yjw+dAH+Leqjdo82aPn6K7i14YDwmnH2ckOdXmHwblQH/3n3C9QPqYuPvphdriabm9qScOEWEi7chjbTcsHF82v38PjIRfi3rI+g3u0w7usp2PLp79CqrQc01epXh2egNx5GXHSoPdmx8WA1OrCccXJ+aaVYYQ0sbh65iphI24fy9Vo9VGnZcPNxB8dx0Km1DveA6TU6MCIGjEiUZ8EKYAz2WI0WEueSW3H7Mp7n4ayQGx+XnRgRAydXZ4u2GpM+21ePQWeAVq01Th0oJ38zVZlNYb+3tzdGjBgBnucRHR2NWbNmQau1/0Wk0Wjw3nvv4f79+8bM5W3bFkvQVJw0Gg2mTp2KefPmITIyEkqlEjqdDvHx8di5cyfGjh2Ln376qUjX2Lp1K0aMGIHt27cjPj4eer0e6enpuHTpEj7++GNMmjQJSqWyeB5QFcMDaPpaP4gK68F4gRExaDyqNyAWCdvjkPKH53kYNDo8PnYJzp4KOHlYXxnoVb8mQkZ0R+KlO7j950GrQR6AF0mWo3H9px1gRCI0/9cg+Leoj8bj+qLtzNEQ+Xti28a9mP3hVHzy9VyIy2Ei2eitx/D48IU8QZ4Jq9Mj8VI0rv+8Cx7+Hhj28TiIJNbf8hXe7gAATXqm1eOF4nloM7PAA6WaR08sEePagUt2n5ebrbZYpOEoYV5iAa8Ng0Zbqq8dhmEgV8gdWhjj7Cq32AKO53nkqnIdaoc6M6fc/c1UVTa/EmbPni3sHHDixAkMHToUR48etak72mAw4MCBAxg6dChOnjwJAHB2dsann37qWKtL0Mcffyy0MTg4GB9++CGWLFmC119/HS4uLmBZFkuWLMGuXbscqv/MmTP45JNPoNfrIZfLMWXKFCxZsgQfffQRGjZsCAC4fPky5syZU6Q3oKpKJBbBxd8bLae8Apm7a4FlJXInNJ0wAB71quPBw4cwGOwfsiKlhOcRHxkF8MbhymptGuUpwohFaDisG1JuP8Kjg+dt6qXRZubg1h8HIHOVI2RED3jWqw6dXg9ffx+8Ou4VVK9ZPnt4Hx2MROrtRzaVzU1V4taGAwhsUANdJvSyWkYsFYPnOLt2lHkZb2DBMMYch6WBYznE3X6CjHjbdr8wx3M8NNm5YBimSCuFhaCogOeNN7AODYcXCQO4eBb8/pfnFBEDVy/Lc3iOh7Nr4fv/WqPPLb4sHaRobJ5w4uHhgZUrV2LKlCnQaDR48uQJZs6cCXd3d4SFhaF169YICAiAl5cXdDodMjIykJKSgqtXr+LixYvIzTV+K+B5HhKJBIsXL0aDBg1K7IE54ty5c8J2b+3bt8dPP/0EJycnAMDgwYPx6quv4rXXXoNSqcTXX3+NXr16QaEoOOeQOZ1OhwULFoDnebi4uOCPP/5A06ZNhePjxo3DnDlzcOTIEZw7dw779+/H4MGDi/dBVgHGYM8L7WaNRWp0LBIu3kbWk39WjCsCfREY1gT+LeoDDIOHjx5CrVZDKi0/yV6JJZ7nUbNjC0icncBqNQhs2xjPTl+zSB/i27gupC7OeHzEvuFHrVKFuMibqN2tNSRSqfCmWF52eHiZTqVGgp2JwXOS0pBy6yFCB4ahVou6uHnoCp7degJdrhZSZxmqBVc35kOTScE5OFdVIneGQWeAWCKGRFbyCzI4jsOTqMcOn6/TaOHi6QqpXGack+ZAjCuVy8BznNVhW3Mcy4KRiEuth4thGCi83cDqDcjNLrxHTuokhUc1L+NrngcMej14jgcjYuDu7wk3jkNudi7UmTlgC9tD/AWep46K8sKumcWtWrXCb7/9hunTpyMlJQUAkJmZiWPHjuHYsWP5nmfe6+fv74/FixcjPDzcwSaXnHXr1gEAJBIJvvzySyHIMwkODsYnn3yCuXPnQqlUYuvWrZgyZYrN9R8+fBhxcXEAgDfffNMiyAMAmUyGhQsX4tKlS1Aqlfjxxx8p0HOQ6MUcR59GdeDXtN6LPVENEEklwqRxUxnTlxBS8gwGFhzHCvuJiiXiQuej8hxnLK/XQBl7HwDg0aApQkb0QPTWY0JvSmBYE6TdewJdlu1pMkySrt5Fne6t7X9ApYxjOSRcvGPT1m0vS7x0BwEtG+Dug4foPKkXnJz/eX9jDSx4nod73ZpQ3rM/eJK6ucLJ2wOPrsQguG1Du893BMMwDi+iACBsYSaRSuAkd7I6f1EsEUPu5gKJk8Q4D+/F4oTc7FwYdHq4uLuC1drQc1UG+//yPA+PAC+IpRKoM3Py3QbP1UsBhbcbOAMLdUY2dCqNxWe2SCyCk0IOZ4UccjcXKJPSobOht45hSjbYNw29m3qQTb8f47VpyNic3b+JFi1a4MCBA/jXv/4lbAzMv1jOn98/APDy8sKMGTOwf//+chnkKZVKREQY927s0qULatWqZbXcwIEDhSHsgwcP2nWN/fv3AzC+CMeNG2e1jKurK0aMGAHAuGDj8WPHv7GSfwI+RiSCxFkmpH4Q0WKXUqXXG8BzPC6cu4LVS3/F/325Cmu+/w1XLtwQjueLYaDLVEL15CF4gx68QQ/V04fwaVQHjUf3gkgqgdTFGR51quH5tfuOtU+Vi/QHz8pFLriCiMQiPL/u2GPMjktGbnoWGjauj+WLf8HEEe9g6sR5yM3VIHLzKWSlZMKnmWNBmlfjYPAch+jTUQ6d7wie5yGztmLaRqIXwQDHsnDxsByylDpJ4VnNC751/OHi6QqJVAQxA0jExvlvvrX84FPTDxKZBAZbgs0yCDxMwY6rlwJ+dQLg7u8JJxcnSJ2kkDpLIXeTw7e2P9x83KHJUiMzIQ3a7Nw807E4lkNuZg6yElJh0OjgFehj0/Muldv2uzGPFfQaHXRqDfS5WmFF+cvt4XkenIGFNlsNTbYaPG98fzc9ZoZhrJ5XlTmUK0ChUODDDz/EjBkzcPToUURERODevXtISkqCWq2GSCSCu7s7ateujaZNm6JTp07o3LkzJJLylZrA3OXLl4U5ce3bt8+3nEgkQlhYGA4ePIgbN24gMzMTHh62bZt16ZJx0nBISAi8vb3zLde+fXuhd/H06dOoWzf/DdUJKc84jgPPA3+u24rNG3Yi/pll0vVfVv6BOnVrYuy/RuC1f40AGMtv4zzPg9NpkRNn+YXHkJON7Mf34V0/GOFzX0NqdCwAQKPMdritmoxs8DwHBuX3SwDP89Bl299jaaLNVMHLS4FZ/3kLer0BO7cewIHdx9Cteziu7IpEz38PgGv1AOQk2J6LUuwkg3fj+shOy0bz3m1KbUs4kUiEmk3r4MK2sw6dL5XLjL1zWWoofNzh6umKHGUOnBVyePh7gmNZ6LNzrPbYiaQSSOTGLc3EzjIYcgoYFWAAsUxaZr1MDMMADCB3k8PF3UX4uSkQys3MQa6y8G3yeB5QpWZC4ecBz0AvpD5JKXAeuYuHa6Er1U27bWiz1NDm5Ob5oiVzcYKTmwukLwJLnueRm6GCSCKCs7srWL0BOUoVNKpcocdSIpVA7u4CZzfapcOkSJGXm5sbhg8fjuHDhxdXe8pMTEyMcNu0KCI/9evXB2B80d2/fx9hYWGF1v/8+XNhX9/C5iYGBwcLt+/evVto3YSURzzPw2Bg8d6bH+HcqfznzT15HIeFC37AlQvXsXjlgjxDuZqU51aHvgw5KmTG3IaTtx98mwQVR4OLlmi2IuB55CSmIPniDXg2DMLwkf2QkpIBV283+NYNgCojG7X6dMKjXUehUxaeO00kkaB2/65gJGKc/fM4Bs0eUQoP4sW1xSLUaVkPntW8oEyyb49rRsRA7uYCvUYHg56FXqODm68HJE5SOCvkYDVaiyTIL+P0Buj0KoidZZAqXI3z2tTWgz1jnr2yDzYYhrGYpuLs7Gzcm9eGIM9cTloWPGr4wtldDnU++wJLZBI4uThZPWbC8zz0ai1UaZn5/t3p1Fro1Fq4+rjDSSGHOi0LErkMMrkzMp8roVGp87w16LV66FMykZ2WBTcf9zy9tVVRxdjHpxTEx8cLt2vUqFFgWfNca+bnFcQ0N8+W+gMCAoSVYKat4gipaBiGwX/e/bzAIM/c0QOnseCDxZY/5HlolfmvquQNBmiSE5H90PiFSKZwybdsYWQKV4dWF5YmhmEgc3P8g8vJQwFWowWr1SHt5n083X0MPu4KZKRloGn3lnh6MxYGlkO9YX3gVqd6wXV5eaDu0F6Q+3nj3KZT6DKhl8X+p6WBNbBo2b+t3ec5K4xpRGQuTvCs5gWps0zIP8dqdQUGeRbX1xjLSl3lEOWTTFsiLzjgKU08z1v0wmltWKiRpw6Ohy5HY9E7aE4kYuAR4FXg8CnP89Dn6qBKzT/IMyeRSaFV5UIkEUPm4oyMpPQXKXIKbmdWSiZU6dlVfhiXAr0XzHOoeXl5FVjW09NTuG1rvruMjH++cRZWv1QqhYuLi131E1KesCyLqGt3cPTAabvO27X1AB4/fPpiyJeHPjsLsCFdB2/QQ5+TY1xJ7QCxsww+jeoIc33KK47lENDKsXl0bjX9IffxQPaTf76c6lVqxB06A29Pd5w+Hom6beuDYzkY9AbU7tcVDca9Ap8WIXDycofERQ6ZuwLuwbURNKQX6o8aAJmHO85uPIlW/drA1UtR6iuVxRIxWg8KR93Wtv/eJTIJ3HyNeQPNh/UYhgF4QK+yb2ic1WjB6vXCUK45qZsrGHHprba1lVhsXF2rLWjIuQDa7FxIZNI8c/XEEjG8qvtALBZBnZYF8Mg3yMpJsy1no8RJCrFMAq0qF87uLlClZduVDFqVng1drrZKB3t2D92mpaVh165diIiIwPPnzyEWi1G7dm107doVQ4YMcXjHjLKm0fyzF+HLq21fZv4Yzc8riHmXeWH1m8qoVCqb6yekPGEYBn+t3+bQuX+u+xsffv6ecVI1a3v+MV1GCvyaBePRofO2TZA3E9CyQbnvzQOMw5XV2zXBs7PX7V55GxjWBLkp6chNtuwh1atykHH7PsI7tsbI/m/gv1/ORnhH4wpksYszAtq1RLX2oUJ5nudh0Bnw7GYsRFIxuozvCc7AFrpjSUka8sFoHPh+J+5HFJx2Ruosg1egtzBp3xzP82A1ju2SweZqjUGdSGRcJS4SQapwgagM5+YVhGEYcAbW4cVHrN4AnuchlooBDSB1lsLF3RXOCjk4lkXW8wzjnr8cB4Wfp8W5PG/sEbT12k4vhtglMil4ALkOrKrPUebAySVvIF5V2BXobd68GYsWLYJabdmtfe/ePRw5cgQrVqzAokWL0K5du2JtZGkwT5ZbWLBqftzWJLus2R6QtgTDpjKllcT3wYMHRUocWpHp9Xrh/6io0ls1WFn5+PjA28sbRw6ccuj8vTsO4z+fvYvc3FyI7XhNapXpkFeriVpdQ/H40Hmbz5PInVCjYwukZ2TYPBWjqBx9zclkMoSEhKB6WBMkXLht83mugT7wa1oPSRFXrR5X3n0E39bNEN6xNaJv3UfzVo2QmpYKmUwGV1dXuLq6CnkmGYaB1EmKmk3rIDMrE48ePYJKZd88r+JWvXp1DJ47EolD2uP6/ku4H3lHyPfGMMahP6mTFN41fMCyLPQavWUKEZEIzs7OMGgcS9fCanWQKlwgcXEW8hHyPA+tVluuEt+bP+ai9nDxPA+FjzvcfN0hEoth0OmN6Vly/knPos81rqKVOMug1WqF59meIWOxVAK9WgMnNzk02blCWhx76NRaGHQG8Awv/O2VByzLQqfTITc31673AXtfUzYHen/99Re++OKLfF8cDMMgKSkJr7/+OtauXVsuU6gUxNn5n2hfr9cXGIzpdP+swrK1B9O8F8+WF5rpGqWVxJdlWYtgtKoqT28CFRXDMEhNSYfewcS76pxcqLJzIJVJIHaW234ix0Gd+Aw1OzSHNlOFhPO3Cj1F7CRFk9f6gXGSIP7JozL5/dtzTb1ej4SEBNTr1wH6HA1Sbj0s9BwXPy80e60/1EkpyLhnfTcNVqtDdmwcBgzpiYBAf2i0mjxbAjo7O0Mmk0EkEoFlWWg0mnLz9/LkyROkpaXBz9cP/WYOQe+3ByInMwc8xyE5MxUcz4ERMdBqtVbf54SUHEV4D+RZDhK5s3HKgV5fbp4ba3ieL/IXe4ZhoNfqYNDqwOoMMGitP15tdi6cXOUWPZsGO54bRsQYt9aTSqBVO7hFHwCtWgNnN3m5HMI1vWZKik2BXnp6OhYv/meStEKhwODBgxEcHAyRSIR79+5h//79UKlUMBgMeP/993Hs2LFynU7lZaY5cQCg1WptDvRsGYa1Vn9hTGXMA9CSJBaLq3yPHlB6gXVlJhaL833TtxXHcRCJRJA4yyFxVcCQY1uPkS4jDWqJFMH9O8DF1xPPzt6A1lrKFQbwCq6Juv3aQ+buikexxvQtpfX7L8prLi0tDTKZDI1e7Qm3Gn6Iv3Db6mMUO0kR0LIh6vRsA21GFp4dOVdg4l6DKgc1awaieu1A3L9/P0+7WJbNk1y8PP29aLVaxMXHIel5Etzd3SGRSMCIGOj0Oot9ba0NpRbH8CrP88jNVkPu5lJoWpGyYgpyOI6D1En6Inm8/T2OUmcZGIaBJlNV6E4ZBq0eBp0BEolEmHtr1/A4z0MkMuU8LMIWfSwPBuUz3QrDMHbFSxzH2dUxY1PNu3btQm6ucV/AsLAwrFy5Eu7u7hZl3n33Xbz11lu4c+cOkpOTcejQIQwaNMjmhpQ188ejVCrh5uaWb1nzBRIF5cPLr/7MzIK/lej1emF43Nb6i6p+/fp2bedWmURFRUGv10MqlaJFixZl3ZxKQZWdA5FI5NCwlVQmhZubAhKJcf9VJx9/mwM9ANCkJIHnOQSENkS1No2Q8TAOKbcewqDWghGLIPfxQGBYEzh7KIScbyEhIXa3syiK6zUX2K4pqrdvhowHcUiPeQqDRgexVAJFoC/8W9QHwzDIuPcIzy9cL3SbLp7j4entDr3eUGiKqYokKysLBoMBYrHY4gt3sWMYcAZjIGNrB0BpU6vVFitvndxc7E6vYjxPDr1GZ/N2aKxeD5mLsxBkmXpQbTuXhfjFiuYiBWki424dJfoasJNYLIZMJoNEIrFrS1iVSoV79+7ZXN6mQO/ChQsAjD15q1atshoE+fr6YunSpRgwYAB4nse5c+cqVKAXFBQk3E5MTMx3ZwwASEr6J+lr9eoFpyDIr/6CPH/+XPhDtLV+QsoThZsrOnVvhzPHbZ8rZ9JnQDeIXyTcZUQiyDy8oHP3hD5LaVsFDAOZuxcYkXHCvWfdGvAKril8SHAsJyy8KI3EviXJ1H7PejXgWa+6sddKb4AuOwfJl29Cef+xzXvXSlyc4Sx3rrK7xvA8D7GTzLYtzV7CiEXGuWRaHRimYnxhZhgGTgo5NJk5dg1niiRiSOVOyEktPM+iwKx6nuchdXGCLse2hYY6VS5c/TyEXkh7t73LVqkw+Z0pSE1LxbBhw7Bw4UK7zq8MbHqXe/DgARiGQZ8+fQrs6apTpw7atGkDnudx5459m26XNfMkxebJk60xHWcYxuYo3MvLS9g6rbD6Hzx4INyuTN+sSdVhMBiMO104YNy/hiP17hPo1f98EChq14PU3bPwkxkRFHXqQ+KqEPbaFIlFFj0BL9+vDERiERgwyIqNw93ftuPR9kNIv3Xf5iCPEYvgUa92lQ3yTMRWUqTYdJ6z04scgrb3VJUHjIiBws+2nZ3My7N6A3Rq2zNCvLyi3bRrhS10L7ZD4wws5O4ugJ1/uit+WoHUtFRjOyrZ372tbAr0TJNybeldatq0KQAgJSWlCM0qfaGhocJ8E1MPpjUsywpbmTVq1CjPEHZBTDtoREdHIzs7/62azp//pxekoq1g5qzMG7D2M1K5SSQSdOzaDi1aN7XrvA5d2qJlm2Z4fiUanOHFZuUMAzAMFHWCoagTDIlr3i+bjFgMZ98AeIQ0g9TNvUq+oTNiEdyDalrN51YY97q1IJKVn/l2ZYFhGIilknwTHxdwIsTOTlBn5sDFo/wMC9qCYRhInGVw8/cqdI62WCKGW4AXGJEIqmSlXdcwzekTrukkg8SO15s2Sw2xVGLcccOOBNSRFyNx8Nghm8tXVjYFeqaFAXJ54VG4KRlwWS+3t5e7u7uwx+3x48fz3ZFi3759QuA7YMAAu67Rr18/AMbejo0bN1oto1KpsGPHDgBA3bp10ahRI7uuUVZ4jger0yPx0h1cXbMdkYt+R+Si33F1zXYkXrwDVqsv9xvGk+LFsgasXPcN6je0ba/mpi0a4bs1X+B5VAyUjxIgMdsU3ZT3TOruAffgEHj8f3v3HR5Vlf4B/Hvvnd4ymfQeUpEqHQQbFiwIoqKwrArquq6yrmKXRdld7K66uvrbquuyyoqChbKIBRQUkCogJYSSkEJ6mz63/P6YzJCQNjOZyUwm7+d5fBxyz7lzZjK5951T3jN4OHRZedBm5kCfUwDjkJFQp6SDlUdm3rK+FH/+eX6VZzgOCaOGhKg1/YskSVAYdGB8HdJnAEWMDpIgwmV3QqFW9rvPnzvYkyMmPR7aOEOHAEyuUkCXYIQh1T0i1XKm3q8FHAqtqsMWcJIkQZcY4/PUCbvZClEQIYkS9Am+1Wsxm/Hyn1/p8nh/6nntLZ/eZc/qDl9WZXp6xdquTO0v5s+fD8C9GGLRokUdgtXi4mI888wzAACtVovZs2f7df7LL78c6enpAIA333wTu3btanfc6XTi0Ucf9S72WLBgQQCvIjxOb9mL7S/9Byc2bIflTB14qwO81QHLmTqc+Hw7tr/8H5R+23kOLxJeobrgyeRyMDYnln/8Fm6cMx0qVeffxLU6DebOvwHvrPwTbBW1OPbpt4jJToFM2XHlu2c4llMooYgxQhETC7nOAIZhO02C2xVJFL3/RROGZRE3vBCmob5NKZFp1Mi6+iIoYvT9LkAJBU/vsdJo6LGHk+E4KGIMAMOiqbrRu+1Xf+T521FoVTCkmBCbmYjYjASYspKgT4oFWue72put/q3SZQBVJ1ulMQwDhmVhSDFBpuz+fWY51t3jyLEA02b3jR4SdHuGbNuOurlsTjSfqUdLdSMcLVbvKuBQ/N46O2e4Ph/9J/9JH5gyZQqmTZuGzz//HHv37sXMmTMxd+5cpKSk4NChQ1ixYgUsFndW7kcffbTDitgdO3bgtttuA+Aecl2+fHm74wqFAosXL8a9994Lu92O+fPnY/bs2Rg9ejQaGxuxcuVKFBUVAQBGjx6Nm266qQ9ede8Vr92Kyl2Huy0juniUbt4Dp9mG/OlT+qhlpDPu9AYSREFEc+kZ8DYHOIUcurQEyDUqQJKCshWYKIhwNlvgKKvG4mUP4uHf3ovVH6zDvt0HYbXYoNFqMP6CUZhxwzTI5TKc2XUYp778AZIoIXXCUO+K2O74E5x4dizgrVY46uohCu7dHJRxcZCp1d7j0SBl8hgoYvSo3XcYvPWc5LQMA31mKkwjB0OXnNDukMALfb6NWaRhGHfeNmWMHiIvgLfb3XMdJQkAA1YuA6dSglPI4XK4YK5vRkxSbMTN/XTZHLA2mME7XJAp5dDEuheJsCwLmUzWIQWMJwjxBiMM4+5FkyTIFO7yWpMBoksA7+PcT11cDFhZ51vAMQwDsCwMySbwDhccLVa4bE53zkOGgUwhh1Kvhrx1qLbtOWQKGeIyEmBrtsLabIXgar+xwM4fd3mHbB9e9BCeWvo0APc0Ik/qJ5fNAVujBQqtCppYPSQEJyWOJ3B0mm1wWOze1e6sjINSp3b3cKJv5wtSoHeOF154ARaLBVu3bkVZWVm7/IGA+5ezcOFCzJkzJ6DzT506FU8//TSeeeYZuFwuvP/++3j//ffblRk+fDjeeust936EEUwUBFTtO9ZjkNfWmV2HoUuOQ9KoggE/8TscJFGEvaEF5dsPoHp/MYS2+e5YBnEFWUidMBTGQb1f7c1yLOIKsrD7rY9w+ps9SBpViFnXX4lb77rZW6aluh6VW39E1b4i77Zl6vgYxBUGf99Ze00tzKdOwVFX3+GYKiEeuuxsKOPjIupm3RumIXkwDclHS0kZmopLwNscUBoNiB8zDAqtGqX7T2LT8s2oO10Lgeeh1muQN3EwRlwxGsow3IwiiXc+GcdCrtWA0bUPiJxWB2xmOxRqJWJTTBGTN0+SJNQUlaF4848o//F4u+kyDMsgdWQO8i85H6acFNgazXDZnO4vOAwDzhNYqRTe18Nw5wy5QoI+KRaWuuZuF2OwHOseBm4zN68znmOcQgZNXMe5tV29r562aYxaaIxa8A4XBEEEwwAWmxUvvua+b994/SwMy+l6+pMkSXCYbeCdLnfPJQL/zHsCZFujGY4Wa4eUlaIggne4dw9RG3VQ6vxIBt9LFOidQ61W4x//+AfWrFmDTz75xLtwwmg0YsyYMbjtttswZsyYXj3H3LlzMXbsWLz77rv4/vvvUVNTA7lcjoKCAlx33XW4+eabIyoRaVdYjkP59/5vGVa+7QBSxvo3j4j0niRJqN5fjGOffdv5fElRQt2RU6g7cgop44Yg95oLen3zkiQJw269Gj/+41OUbf0RZVt/BFj3TUVwujrs16rQazDs1msgSX4vruu2DY0/HYKl9HSXZew1tbDX1EKXMwjGwX2bUy9UPIGyPisNhkHudFGiIKL8cCm++Ms6NFa2D3ibqhpxprgC2z74BsOmno9L77wKEtP7HRT6M8/nv23AwTAMlFoVFBplh3Lh1FBajR3/+hzNFXWdHpdECeV7j6N873Fo42Mw9LqJMCSfHZUSeAFOqx2cXAZtvAGcXNbhdbl7OyXoEmIg8jrYW6xwWR3u6wnj3r2iq1647nRVrqf6nuNylQKeO+bTv1+K6upqJCUm4Ve3343mlp7TwAhOHpaaJm+w11mA2VMwzzAMzDVNPa5GlkQJ1vqWPp2zToFeJxiGwYwZMzBjxgy/6k2YMMHnJIb5+flYtmxZIM2LCJIooqnkDGx1/m9JY6trQuPJCsRkJUfNUFmkk0QRtYdOoujTb3zKSl+58xAYhkHuNRf06nlZjoVCp8Gou2fhyOpNaDpZAYgSBHvHObwxg1Ix+IZLIdMog5rfrunwkW6DvLbMJ06C5Tjo83Ij4uYdDJ6/MVEQcWL3Maz940feFc2dEVwCfvx8Nxoq63HDb38WMb1V4RSq3TSC5cyhEnz/17U+70hjqW3C7v98hRE3TkHcoJR2xwQXj5YzDdAlGSFTdFzc5Pk3K+OgNuqgiW2/Cj6cn5fNmzd7FzM+dv9D0Gq1PgV6ACBr7cmUJAmOFhtcVkfrTioAJzsbwHYVBNqbrX6lnLE1ms/uFBJidJclAZEkoO7IqYDr1x4+2d1uTCTIREHEsTVb/Np6qOKHn9BSXtPrBQssx0KmUWHE7ddizK9vRsq4IdAkxkJp1EGTGIuUcedhzMLZGHH7tZBpgpewV5IkuMwWmE+V+FWv+VgxRB+2KexPJFFCU3Uj1r+6utsgr63S/Sfx9T83hLhlpLcaSqv9CvI8BBeP/au2ovlMx6kMkiTBXN3YY69TJAXAzc3NWLJkCQDg2mnXYNL4iT7X1cYZoDJoYG1oQWNZDWyNZvBOF0RegOAS4LQ50FLdiKbyWvB2Z6fBmaPF6nebRZfQJ++XXz16K1aswKZNm7ot03bXCM/ChO4wDIN3333Xn2aQCMCwDFx+Zihvi7c5OiTRJKEhCgKqfzzWfj6ejyp2HETBrEt63QZPD53aZEDu1ZPa9eRKouhNvxDsnSrMp04FVq+kFIb8vKjpcZYgYden28A7+Z4Lt/HTV/sw5WeXQtWH84mI7yRJwo5/fR7w3tKCi8dPa7dj4p1Xd+ylEiU4zFaoDNqI6r3syrPPPovq6mrEx8fj/rvv87me2qiDQquCuboRrk5GGtoSeAEt1Y3QJcRA3ppKxzNnM5A9gyVRggQp5GOrfp3+9OnTOH265yEQz4fCk1i4KzQk0I9JEtherM5jZTJ3tyD9/kOO5ThU7gpsp5qaQyeRe81kyFQdU50EwpO+ot3POgmmPCuDAYC3OwEJ4FQK95cDqWOm/U5JEqxd5MPsieV0GQwFvu89GekEF48jWw74X48XsH/jHoyZMXHAr8aNRDVFZV3OyfOVpaYJDaXVMGUldTjmaLFBZdD26vx9oe2Q7VNLnoKhmx282mI51tuT11OQ15a5tgkxKXHeFcUua+CdHoLTBSnEycp9DvT6a34gEhqSJEGbZOq5YBe0rTmnKMzrG5aqhoDqSbwAW30T9KkJPRcOAs+XP1tdE8q3H0TN/mL3og0AjIxD/JBBSJswFPq0REii1G3AJ9gdkPjAdmURnU5IPA+mHyyK6okkSTi5pxgue2C9Pse2H8b4GyYHuVUkGIq/8X8xXGfK9hzrNNATBRGCk+8x1104tR2yveaaa3D5ZZehycfgV6lTQxLdqVD8IgH2Zis0JndA2ZvpLX2xKMOnQO+5554LdTtIP8NyHJJHFeLUlzshuvwbDmLlHJJGFVJ6lT4iCiJ6MyHS399vV9r20gEAzklw7Dl+9NNvUL2v437QEi+gZn8xavYXIzY/A+fdfDlYsF0Or0pS7+YWRksyZVEQYWv2f/6QR2/qktBx2Rwo31fcc0Ef1Bwt8+bbO5cY4X8HniHb2NhYLFmyxJtY2Zf5yAqdGg6zLaDLo9NihzpW1+kohV8iZY7erFmzQt0O0g+xMhkShuWiaq9vK409EoblgouCnpL+guVYsHIOoiuw3i2ZH3tLdkaSRDAMC9HphKu5EaLAg2FZyDRayHWGdomKD6/8yqdFPg3HTuPAu+swYv50gOl8Cgjby88YK4uOpAQMw/Rq2JXzd+9X0iesDeag9Qa5V5paIVPGdDgWydOr2g7ZLlmyBCaTO6ehQq3qcQUsK+PAybiAh10lSYLL5oRCowQnlwU8Z53l2JCPbNFfMOmVQVeMR+PJCjgaW3wqrzTqMOiKCSFuFWlLkiSYCrJQ+9MJv+sqjTpoEmJ79dyulhbYa8+AN3f8jLAKJZRxCVDFJ8Fe34z6Y6U+n7ulrBonv/wBOVdO6PRbMadQQBFrhLOh0e92qxISwERJjzPLsYjvZFjOV3Hp8UFsDQmWQBdgdHm+LhbqcPLI/TvYsOHsqvBFixZh0aJF3ZZf/8UGrP/CXecXt9+Bh598rHfDrq0LMJR6NezNFr/rM4w7WXSoe/WiY0kZCQuGZcApFRixYDrUcR2/CZ5LZTJgxPzp4JSKkKy4PXfPwlDtYdjvSBLSJgwNqGrymMG96jWwVVXAfOpYp0EeAIhOB2yVZWg5cRTKGC0Kr7/Er0zJVfuKurxQS6IIXVZmAK0GdNmZUTN0CwDJeamIz0oMqO7Iq8YGtKKQhFaw583JFB37feRqZdROsfFe1XpzK2qty8k4yNX+L1hjgpxloCvUo0d6xZsQ95ezcGb3EVTuOtwhibI6LgbJY89DypjBYDgu6Ck0PEN/gt0KR30dRJd79RSnUEJpSgCnUkXVPqb+YlgWhsxk6FLjYa6o9bkep1IgZeyQgH5fkiTBUVsNe3WlT+V5ixnm0uOIH5qPhKJc1Bw47lM9we5E1Y/FSDo/v8MNiWFZqJOTIdMUg7f6Ps9MrtdDGR8f0UNW/hJ4ASOnjcFXf/ufX/VikmKRNTInRK0ivaGJ1YFhmaAM3zIsA6Ve0+HnKr06orNj3Hrrrbj88ss7/NzzBd/eZEVNdTVe+NPLAIAxI0dh9vXuPeSzs7IAuKcmCAFOa/FMa5AkCZpYPZod9T7/Pjg5B04ug8QHZw50dyjQI73GcizAsUgZPwRpk4ajpbwa9gZ3D47SqIchPdG9gXwIvhm6k+K2wFZVDsHW/mbuAmCvrYJMq4M6OR0yTf/IBxUKoiBi6M+mYd/fP4WjydxjeVbGYeicK8EFuuxfFGE9U+5XFd7cAmdTI1InDPM50AOAppMVSB7d9bZl8ePHovr77RCdPadP4FQqxI8f2yH1j2dCOu/i0dDQBFEQYYw1QK1Rg+cFyCI89Qgn4zDsslE4suUgyg/7tksIy7G44lfXQuAFSq0SgeRqJdLOz0PZno4Ll/yVUJDeoYdQoVF5tzKLVEOHDsXQoZ2PVniCvRNHj3sDvaTEJFw8+UJvGZfdCaVODWcA8/Q4OQd5m7RTrIyDPikW5urGHnvAObkM+iQjqk8Elg3BXxTokaDxBHL6tEToWtNxeLfLCVGQ56ivgbW8+3ldvMWMlhNHocvMgdxgHJDBHsuxkKlVOP/u63F45ZdoLjnTZVlVrB6Db5oKXUp8QL2gkijCUV8LBLDq1VFfA0NuIbTJcbCc8S1FguB0db1XJsuCU6mQNOUC1O/bD0d9x10APJTx8TCdPwKsTOZ93Z7ejGNHTuA/b3+Ez9d8DbvdfVPgOA4XTp2IeQtuwoTJoyEIArgIHuZiWAazFs/F6mUrUHGk+2BPppDh6gdmIX1IVtB74Enw5F08IiiBXvro9jkjFRoltPGGiO7N64mn3Qrt2WCVU8igMmjAMAzkaqU3uOVkHAQ/UzEpdZoOeyBzchkMKXFwtFjhMNs6BHycnINSp4FSpw7eZt4+oECPhESoLw6SKMJlbukxyDtbQYK59AQMuYPBqTX99uLVGyzHQqZSYuSC62Cpqkf5joNoKC4Db3eAk8uhT0tAyvghiM1Nb81RF9gNnmFZOOprAqrLW1rA22xIGJrjc6DHKWTd3pAYlgWrUCBh4vjWLdFOwdngXv3LcjIo40zQZWdBptG0G+IXRRGiIOK3Dz+H9Z982eG8giBg8xffYfMX32HU2OH48zvPQ61RR2zvHsuykCnlmP27W3Hwq734ccNu1JZWtysjV8kx+MJhGDNjEoxJsRTkRbiEgnQYUuN6lTRZmxCD2Ez3/E2ZUg6VXgOFVtWvg7y22r4GTi6D2qhzT9Br/bEkSdDEGdDiR65RmVIOpV7d6T7ADMdAFaOFKkYL3u50B3ut++XKlPKwvK8U6JF+iWFZ2Kr8GxqEJMFWVQH9oOjZ8cBfnhu3JiEW+dMv7LAoRhRE78WqNwRn4JniRZcTcq3vW24ZMpLdAVoPvWmC0wVJ4GE8b3C7siLPw2U2g5HLO/Q8L7pnCTZ/+X2Pbdi76wDmz/41/vPx/4FlGbAROh+UZVmABYZdNgojp43FmWPlqC2tBu/koTZokDMmH5xCBgYMbVHYDzAMgwnzp2HTHz8MaBUup5BhzM8ugy4+BjKl3D1nrHXIMxqCvHMxntydTPufyZRy6BJiYKlt6jGnnkwphy7R2OPzAO7h9XPfz3C8rxTokX5HkiQIdmuHOXm+cLU0QXQ5wcqDs6VXf9XVTTxoPTi9mR8uST6vRmMVMiSNKuh2aoAkSbCdqUL9/gNAa0DIqVRgZBwkXoBgt0MSBIBlYRo5AurkJPC8gJXLP/EpyPM4duQEXvzdG1jy7EM+1wkXz5y7pLxUJOYkQ5LcQSAFd/1PbGYiLvjldHz/17V+BXsypRwX/PJaJA3OABDeQCTcPEO5hpQ42JutcFrsHTI2cHIOSn3rsCt8f58i4f2kQI/0S45631ePdqxbB1VC0oBdhdsXGJkMEh9Yni+Gk4G3dZ/s1CNpRH63ey5LoghbVRXq9/149meCAN7SSc4rUUT93n1ImDQBythY/PffH/vd9nWffIFHnroPGm3HFYyRyN17G9yhZkkUO+x6QkIreUgWLn1oNnb863OfhnH1ybGYeMfV3iHbaJaeno6jR3tO6s8wDFgZB41JD02sDk6b0z1SAAacgoNMqei3w9kU6JF+h2EYiK7Ak4WKvLNPJ8IONJIkQWk0wV5b5XddVqGEXKdD48me07Jok0wY1EWyZG9bBAH1Px7wqw28w4l93+1Byckyv+oBgN3uwKoVazHn9lmQD6DdXzw5By2V1eAtNoBloYzRQ51ggiiINNevD8RmJmLakp+jpqgMxd/sR/m+4napPhiWRfLwbGRdcB7i8lKh1WrD2NrI5A3iGAYKTccVx/0xyAMo0COEhIAyPjGgQE8VlwCX1Yb6ou4X2RgykjB03jQwHNflxVcSRZhLTwN+Jj5mVGrs3L7Xrzpt7dm5H7fedXPA9fsTSRQhOFyoP1iEhiPHO/TEKmNjYBqSB+PgHHfvIfWihxTDMEgszEBiYQZcNgdsjRa47E7IVQqojVq4JKHf9kr1tWh6jyjQI/2OJEngFEoE2qfHypXtVl2R4GIYBpxCCYXRBGdj1+lMOtSTy6EwxYPlZBgxfzoqd/6E2sOnvNsMgWFgys9AyrghiM1Lh2C1gekuzx/DwFLqW864tji5DFaz//M/PSxmW8B1+xNJFGGva0TJ/76BYO988Y2joQmV3+1Gw9ETyLrmEnAKOQV7fUSuVnbIg+fyI3E4iR4U6JF+SWmKD6jHCGCgNMXRzSbEJEmCNj0bossF3tLzPsgMJ4M+Ox+CzY76o0XQpKWi8IapyHO54DJbIUmAQquGTK2EvaYW9Xv3gbfakDTlgi7PKTqdEGz+B12Ci4dGF/gcO63O9xXD/ZUkinA2m3Fq3SaIzp6/ctlrG1CybhMGzbyc/vYI6WMU6JF+h2EYcCo1ZBodeGvPuzy0JY8xguH6/mMviiJEUQLHsVE1JNAVhmEgAdDnFMBacRqOhtouh1BlOgO0aZmQRAm1O3dDsNlgr6oGp1JBlZQIVi4HwzBwVrtgr6ltt5BCdLnAdjEXThIC29ZIslkxfuIo/O31fwdUf8z4kXC5XFE9R49hWVRu3eVTkOdhr2tE7Y9HkDBqCAV7hPQhCvRIvySJItQp6Wg5cRQ9Jj7yYFloklJD27A2eJ6HTCZD+elK7N9zCHaHA3q9DhOnjIFGqwakIKYziUAMw7iTkaZmQJOSBkd9LVzNTRAFAQzLQqbWQBmfCE6hhL22DvX7fmy3TZlgt8NS0v1cPZHnuwz0GFlglzdbeTnGTx6D7JwMnDrh39CvWq3CDXOujeogT5IkuFossFRU91z4HA2HjyNhVOdbVhFCQoMCPdIvMSwLmUYLXWYOzKUneg72WBb67HywSlXod+1oney85evteP9fq7Djuz3tjiuVCky7bipu+8XNyM3Pjuhts/zhCWxrqmpRdOQE7HYH4uJiMez8wWAYBkpTAlTxSd7ykiRBEkSc2bIVgsUKRWwsWIUckNxJkx0NjT0upOguNQinUECm1XaeSqUb9uoaOCwW3HLbLLyw9HW/6l476wqoVCq/6vQ7koS6g0UBVeWtNrSUlkOfmUq9eoT0EQr0SL/FMAzkBiMMuYNhq6qAq6Wps1KQxxihSUrtkyAPcA/T/vah57Du4y86Pe5wOPHZRxuw7uMv8OQfHsCNc6dH7E4KvvAEttu37sb7/1qF77/ZCbFNgGaKj8UNt1yLObfNgk6vhSiK0Go1ECV32g1dVhY0Kclg5e23BxIcTljKymApPd3pXDtOpeqyNw9w9/pqszLRdOiw/6/J7sDPbr8BO7ftxdefb/GpTuGQPDz61MKoX+TDsCwcDZ39rfnGXtcIXUZKtL9NhEQMCvRIv8YwDDi1GvpB+RCcTjgbaiG2Jupl5Ur3wovWOXl9NTfu6Ude6DLIa0sQBPzhyT9CrVHh6usu8+5W0J9IkgRBELH4wWfwv8++6rRMfW0D/vHmf7Di3dV4+a3fYcToIfjjs/+Hq2dMxeChBVAnJaHlxElYy8u9qzc5lQqa9DToMjOgzxmE5qNFaDlxst15tRnp7p7cbva41aanobnoGCSe9/k1MXI5lMYYSJDw8lu/w9JHX8Bnqz7vts6YCSPxxj+fg0wu79dBu68kPzeAb1dX8C/dDSGkd6L/ikSiHsO4P8acQgFVQrJ7TlhqBlTxiWBl8rP7G4aYIAjYtX1fj0HBuZ5d8hpcfgQikYRhGDz5wLIug7y2LGYrfvOLxSg6dBy33DoTt9+4EKtWrAEjk8HZ1NwuRYdgt6Ol+DgqN32DpiNHYSgsgKGwoO0TQ5uV2ePwH8OyiBszqtukyu2wDOJby7MsC45jseyVJ7F64zu4cc50qNVnh2VlMg6XX30R3v7gT3hn5etQa1SQ9cNgPRCcKvAtBDnlwN5+kJC+Rj16JKq0u/H38dgQy7J4/1+r/K5nbrFgzarPcf3N10Au7z9/kjzP49uvt2PDmq99ruN0OLHk4eexfssKTLl0IpYtfgU6vRZXTLsQ1d9823GlrCTBfPIURKcTppEjwFsssJaVI3bY0G6HbT0YloUy1oT48WNRv2dftzuqsAo54kaPhiLW2GHfz5z8bCx59iE8uewBNDW2QBREGIx6KJUK7zB1tMy17IkoiNBnp6OlpCKg+oacDJqfR0gfor82QoKkqbEZm7/4LqC6H773Wb8K8gBAJpMhv3AQvj+4HnuOf41v963B399/BVdcc3G3PVtlpRXYunkHbrn1egDA80+/7l4Rndr1imhreQXMJaUw5OfBOGwoNOlpvm8qzjJQxsYiZeqliB0+FHKDod1xeYwBsSOGIWXqpVAYYzo9L8uyYDkWcrkc8QkmJCbHQ6VSuqcODJAAz4PlWMTkZQXUM6dNS4ZCrx0QKYYIiRT9685CSAQ7deI0+ADnLhUXney5UISQJAmiKIF38Tj4wxEUHzoJp8MJjU6D0ZOH46U3l6K2uh5/ff1dfPjeZ52eY+XyT/D6P59DUkoCqiprsGHN17h86gRYTnedzsR8qgS6rExoM9L9DhQ8PUiatDRoMzIgCQJEQQDLcWA4zr15OfUy+YxhGJiG5qNmz09+1Ys/fzC914T0MQr0CAkSexfbQPmCd/EQRTEiJvJ7Vr5KougeSmUZMCwHQIIoSHA6XXj3T//F12u2wmZpvxp2/QdfICktAdfNnYYlzz6ErJwMvPyHNzs8x5FDxQCApJREVFXW4MP3P8N1N06DTKcDb+48CTZvscBeWwelKdb3OXfn8AQYDMe164mjwMM/DMsiYcww2Oub0HKqzKc6SRPOhzY1iXrzCOljFOgREiQmkzHgunqDLuxBniSJABi4mhthr6sGbz67dRkjV0CXnQernceTdy5D6fHyLs9TVV6Df7z8Hxw9WIyHnr0XTY3N+Psby9uVcbQGxarWSf2njrt78jilAnw3m53Ya2rcgR6JCBlXTEbV9r2oP1Tc5WpaTqlA0sTzYSwYREEeIWFAgR4hQZJXmIPU9GRUlJ3xu+7UaReGtUdPkiSILhdaThZBdHTsmVToDWBkCjx9zzPdBnltbdmwHUZTDO575A5s+OxrnC45W88QowcAtDS7kxm7WhdJ9NSzJrpcAffmkeDyBG1JE0chYfQw1B8uRlNxKQSbHWAZKPQ6xJ6Xi5icTIDpu/RGhJD2aLyCkCARBAE3zb0uoLrzFtwY5Nb4ThREiC4XmosPdxrkAYDMGI+tG7fj+JFTfp173QdfoK66AbPntX9fLrrsAljMVpScdPfkGWNj3G1xdZ9mhuE437e8I32CYRhwSgXihw9G3k1XofDW61E4byYGzbgMMTmZYDiWhsYJCSP66yMkSORyGWb/fKa3t8pX4yaNwuCh+X3emyfwAhwOB1iOhbnkeJdJhWUaLZQ6Hdau6DkJ9LlEQcTnq77G9TdfC2XrKk2GYXDzz2di7ccbYW2d43fltZfA5XDA1dLS3emgiInxuw2kbzCd7Nvc2c8IIX2L/goJCSKtVo0333m+XWLd7mTnZuLVv/4Bwrn540JMFEV8vm4Ttm7aAXtzMwRb1/vByg1GnCmrwtEDxQE919efbYEx1oDzxw4DAFx82SRkDUrHyuWfAnCnLpl7+yzYKyo75tFrg5HLoUlNod4hQgjxA10xCQkimVyGoSMH49+r30ROflaX5RiGwUVTJ+G9T/4PGq26T3OxCYKAzz7agBeWvo5LLp8MvrGu2/IMJ0NNZfdlulNXXQ8AiDHGIK9gEJa98iQ2rPkax46eAABcdd1UJKcmwVLadWoVANCmpwXcBkIIGahoMQYhQSaTyZCTn41Pvvw39vywH++9swqHDhyF3e6A3qDDlEsmYN6CG5GWkQJBEPo0yBNFEadPleP3T7yMISMGg5Nx4C3NffK8g4fmYcmzi1B89CSWPPQcAOD8scPwuxcfRUtJKXhLN72Keh0MBfkRvxCjbY64do9bU9YQQkLr+PHjWLFiBbZu3YqqqioAQEZGBi699FLcfvvtMJlMYW5h36NAj5AQ8OxyMXLMUIwaN7zdTV4QBO98vL7eVUGSJCz/54fgeQFardr9sx42mZcEHgkpcQE/pykhFizL4q77fo4v1m/G4gefhShJuGHOtXjy9w/AWV+PpkOHu6wvjzEgftzYPtuzOBCe1DTO5kY46qpbg1YJYBjItXoo4xMh18cAkkRDz4SEyL/+9S+8/PLL3lX8HkePHsXRo0fx4Ycf4q233sL5558fngaGCQV6hIRQZ4FcOLfMcjpdWPeJe1GF1dqa7JhjAbHruXGu5iYk5w1G4fC8gObpTZ1xERx2B5565AWUl53B3fffhtnzZkJv0LrPLwiQG/RwNbXvWVTEGqHLyoQ6ORlA5CY1liQJvNXauqDFde5BuMzNcJmbwSqU0GXngVMqIZfLO9yMenyec3oIKWgk5Kzly5fjuefcIwVqtRo33XQThg8fDrvdjnXr1mHHjh2oq6vD3XffjXXr1iEhISHMLe47FOidw+VyYeXKlVizZg2OHTsGl8uF5ORkTJ48GbfeeitycnJ6ff5Ro0b5dJFXKBQ4cOBAr56PkLb27TroXelaVloJURQh1+jgbGrosg5vNcNhNuPaOVf4HeixHIvpc66AUqXEC288BQBwufh2+/pqUlOgTU8Db7GCt9sAMJCp1ZBp1BG/XZYkieAtFrScLOox7YvodKCl+Aj0eYORM2gQfjp0qOfzt75+weGAuaQUvNkMSRTByhVQJydBlZhAAR8Z8MrKyvDyyy8DAEwmE959910UFBR4j99yyy1YtmwZli9fjqamJvzlL3/BkiVLwtXcPkdXhzYaGhowd+5c/P73v8fevXthNpvhcDhQUlKC999/H7NmzcInn3zSq+c4ceKE39/kCQkGSZLQ3HQ2fUldTT2+/WobOGPPw7J8Yy0unDYROYO7XmDSmWtuvhyx8cZ2P2sb5AFne+pkWg1UcXFQxZkg06jbHYtYogTzqWKfc/tJogDzyWNQKJWIje1+hw9JFCE4HKjdvQeVX29GS/Fx2M5UwV5dA2t5Oep278GZTd/AXFIajFdCSL/15ptvwm63AwBee+21dkGex6OPPuqdn/e///2vT9sXbtSj10oQBCxcuNDbgzZy5Ehcf/310Ol02L17N1atWgW73Y7FixcjJSUFEyZMCOh5jh496n28ePFipKamdlk23FtikejCMAw0rfPyPFa8uxqXXDEZTpUagt3WRU3A0VAHTm/E7956DE/e9QxOn+h5d4wpV07ALx69tdftjlSSJMJRXwOpm2HvzoguJ5xNDUhMTEBLF3kDJdHdU1izYydEp7PLcwl2O5oOH4GrxQzTiGF+tYNEN5vFjsaaRjhsDijVShgTjEBkTnHtFafTiY0bNwIApk6d2uW9WaFQYOHChTh16hRiY2PhdDqhUCj6sqlhQ4Feq1WrVmHXrl0AgBkzZuCFF17wBlozZszA9OnTceedd8LhcOB3v/sd1q5dG1Ag5gn0WJbFzTffDJXKt3xrhATD0OGFkMk48Lw7ONm+dTeKDhcjKzML1lPHus5jJ0mwnT4JTWYuXl6+FO++vhKb1m6FzdIxOExMjcf0udMw67Zr3HPJohTDsLDX1QRU11FXDUPuYKjV6k6PizyPmh92dRvktWUtK4NMrYI+LzdiF6yQ0JMkCcf2FWPLx1uxf+tBiOLZhVYsy2LoBUMw8ZrxyB3ZuylIkWTbtm0wm90bZM+aNavbsvPmzeuLJkUcCvRavf322wCAmJgYPP300x2CuHHjxuG+++7DK6+8guPHj+PLL7/ElVde6ffzeAK9zMxMCvJIn4uNM+Liyy/AVxu2AHDfGO5b8Dj+u+Zv0GXlwXr6BKQuphZIogBLyTHoBxXil4/dhjsenIuv12xB8aGTcNid0Oo1GHfh+Rgz5XxvAuhoDjoEpxOis/Mt43rCW8wQRaHTa4AkijCfKulyO7qutJw4CV3OIPc2cWTAOV10GsuffR+Vpzrfa1sURRzYehAHth5EUlYibl/8c2QUZPRxK4PvyJEj3scjR470Pq6vr8eJEyfgcDiQlZWF9PT0cDQvItDYIIDDhw/j5MmTAIDrrrsOOp2u03Jz5871rpjcsGFDQM/lCfQ6m0NABiZJkjr0fHX2s2AQRRHzFtzU7mdVlTX4+axfoaq2CYb8oVCnZYJTa9qVYTgOyvgkxOQPgUyrRfPRIthOnsAlV47Dr56cj4ee/RXueuhnGDI4HfU/7odosUASu0/b0t/5O2TboX5XORQZBpbTZQGdz3q6LOrfd9LRkV1H8dr9f+4yyDtXVUk1Xrv/zziy62jPhSPcsWPHALiHZpOSklBaWop7770XF154IebNm4c77rgDl112GW666Sbs2bMnzK0ND+rRA/DDDz94H0+aNKnLcgaDAUOGDMGBAwewdetWv5+noaEB1dXVACjQI+45XgzDgreYYa+tgmCzuldZchzk+hio4pPAKZVBTbbLcRzGTjwfP5t/I97/1yrvz8tPn8Hsq+/CjJumYd78G5GdPwQOmw0yBgDDgJUrIIkirOUV3tWfAGA+VdLp8wh2OxInBTaPtb/o7UIRhuXaDa15OOrq/O7N87CWV0CX7d+CGdK/nS46jb//9m047b4N83s47U78/bdv44HXF/brnj1PUuSYmBjs3LkTd999N6xWa4dyBw4cwK233ooXX3wR1157bV83M6yoRw9nvxEAQH5+frdl8/LyAABNTU2oqKjw63mKioo6PE99fT22b9+OLVu24NixY1E9p4mcJUkSBJsNjUcPouXEUbiaGyG6nJAEHqLTAUddNZqOHkDLyWOQRKE1IW/wPLb01/j5nbPb/cxmteGDf3+CGVNvxYKb78f27/eCkSlgLi1Dw4GfUPn1JjT+dMgb5HXH2dAAl9kc1Z9nVq4AwwX2XZlVqsByHJznzMGTRBFC6+rBQAgBBoikf5IkCcuffd/vIM/DaXdi+XMr+vXfqaV1Rx2bzYaFCxfCarXipptuwtq1a3HgwAF8+eWX+MUvfgGWZcHzPB5//HEcPtx1gvZoRIEegPJy9wpClmWRkpLSbdnk1uStAPwO9NquuDWbzZg/fz4uuOAC3H777bjrrrswffp0XHzxxfj3v//d55vck77jTrBrQfPxoxAd3d/UXS1NaC4+DEkQg3oxZhgGjz61ECvX/wMzZ18NlUrZ7viZimoMG14Ia0UFWo4Vw1peDon37zPZ0961/Znnd6E0xQdUX2VKgNPh8E4iby965zWS4Dq2r9jn4dquVJ6sRPG+40FqUd/zBHpmsxmNjY24//778cwzzyA/Px8KhQIZGRl4+OGH8fTTTwNwr9J96aWXwtnkPkeBHty9agCg1Wp7XG5tNBq9jxsbG/16nnNTq2zbtq3DzbuqqgrPPPMM7r33Xm9eIBJdJEGA+dQxwMdeOtHhgLnkeEgWNhQMzsXvXnwUm/d8ig//90/8e/Wb+PTr5Vj/7QrExhnBdzIE4iveao3qxRjm0gooYwMI9BgWClMcqms6rthlWNabQzAQXBereEl02vLJd8E5z6f+T0WKRAUFBbj33ns7PTZnzhzvYo3vvvsOlZWVfdm0sKI5eoA3oFIqlT2URLtA0GbrOu9YZ9oGelqtFvfccw+uvvpqJCUloaamBhs3bsSbb76JlpYWbN68GUuXLsXzzz/v13MEqri4eMDm7fMksHa5XNi/f3/InodhGJw3eDBc9bVdpzHpAm9pgctqgcXpRGmQe8pkMhmMRiNMCTFgGCNEUURJaQnSUlN9TgTcGUl01z148GCnc9H6q9ycHPDVDajeuR95N10FdUo6bJW+L57QZmRDkoC6ujrwPN/uM2cwGJCdnQ1Oo4Zg9e/64j53Guw2G4raTEcZ6HieB8dxYBim07lb/ZXdasf+LcHZOenHbw+gvrYeKk3/ywTR9r595ZVXdntfnjp1Kn788UcA7rQsV111Vcjb1x1BEOB0OmGz2fy69/h7Pe33gd6mTZtwzz33BFT3q6++Qnp6OnieBwCfkie2LePv8KpnIYbRaMSKFSvabaeWlpaGBQsWYPLkyZgzZw4sFgs+/vhj3HLLLRg1apRfzxMIQRBouBgI6a4lsbGx4GQymOsDz70Wk5YFSSr1fmaDweVydXpxTEpMBNeLhKKcUgFJkuCIonljarUaWp0OJzf9AGdTC8o270DGZRcAQM/BHsNAm54NRUwsjh075v0dtv3M1dXVITUlBbrMTDQd8W9FJCuXQ52SgtNlZbT7Thf681y0czXWNAXtC5QoimiqaYIys+fOjkij1Wq9j7Oysrr9HWdlnV2oVF1dHTGfB0mSQvo32+8DvWDw5LLy5Y1uO3laLpf79TzffvstGhsb4XQ6kZiY2GmZgoIC3H///d7NmVeuXNkngR7HcQO+Rw/w/3fqD71eD95mhegKbOK0q7kRTMYgGAyGLndUCCazxYLY1BQ0HS3quXAn1KmpMJvNIX1P+4JOp0OcyQS1Wg2ZXA5nsxnWSveXtubjpTgNIP2SCZDrDHDU18LZUNcu9QrDyaA0xUNpigfDycAwTLvg99z3p76hAYmZGbCcLgPfOv/IF4aCfEgAWlpa+v17HkxtvxRF01QCV4ALMLritDv75fuTlpbmTZvCMEy3r6Ft718wsxn0FsMwkMl8D8dEUfSrY6bfB3qZmZm44447Aqqr1+sBABqNO2eYLz0PbQM9X4Z6z9V2jl9XZsyY4Q30du/e7fdzBCIvL6/L/IHRbv/+/XC5XJDL5RgxYkRIn8vZ0hRwXUkQIEkSBg0aFMQW9UyVmAB7tX+9kJxGA3WCe/5aqN/TUJJECQzLwFZTj/ojh2HIyQBvaT/813y8FMfrmxA3rAAx+VlQJ6e1S5UjU2sg8gIaj55AU3EJcmZdCY1GA6fT2eVnThJFxI8fh5odP0DwYbjRkJ8HXVYmAGDYMNoKrS1P7ynHcd5rfTQwxMYE9XwxJmO/fH+GDBmCNWvWAABqa2u7fQ1tvyCnp6eH/fVyHAeFQgGZTNZjxo+2zGZzu6lgPen3gV5ubi4ee+yxXp3DYDAAcL95PM93G1m3XYDh2SA52EwmE4xGIxobG73DvSQ6MGwvdi3o4dtqKEiiCH1uLuw1tX7N1zPk5bgDnX7US+wZxpEEAc7GRoguHqxMBnmMAao4I5wtFkiCALGT1ceOhiZUbNmJMzv2ISY3C4oYHVi5HKLTBUdDE5pOlELiBbAKd09bT79HhmXBKRVImjwJzUXFsJSXQ+pkuF5hjIE+JweqpM5HCEj0MiYYwbJsUIZvWY5FTHxwA8e+Mm7cOO/jb7/9FgsWLOiy7L59+7yPB1Iu234f6AVDdnY2tm7dClEUUVVVhbS0tC7Lnjlzdil7d+V6i4ZeohOnVMGdPsP/uSGcqu9XVDIsC4UxBrEjhqFh/0Gfgj19bg40aWkRMyziC0mSwJvNaDlZAltlZfvFMiwLTXIStFmZUBiNcDQ0d3ke0elCw+HiLo9zraMAvgy7MCwLMAxihgxGzOACWCsq3bkJBQGsQgF1cjIUBr07oO5H7zUJDrVWhREXDse+b37s9blGXjgcam3/W4gBAMOHD0dWVhZKSkqwbds27N+/v9Ne8oaGBqxbtw6Au4OosLCwr5saNv3n63YI5ebmeh8XF3d9kQbOJleOiYlBUlKSz89x5MgRvPPOO3jppZewd+/ebss6nU5vz2FCQoLPz0EiH8NxkMcYA6qrNCUEPXGyLxiGgSY1FfFjx0Cm73p4n1OpYBw2FDGFBf0q8JAkCeZTJaja8h2sZWUdV0SLIqwVlajZtgPNx4qhMsUgdqjvwyxtGbLTIImizwtUPHOOGI6DJi0VMYUFMA45D4bcXMhbfxf9qdeUBNeF108OznlmTgnKecLFk1JFkiQ8/PDDHXLcOp1OPProo2hqck+dmT9/fl83MayoRw/A+PHjvY+3b9+Oiy++uNNyzc3N3ozabbuLfVFUVORNleJwOLpdYPHDDz94Fwi03aSZRAdVXCJcTQ1+1WFYDsrYODBMeG7qDMNAGWdC8oVT4GhogKW0DILNBkmSwCkV0KSlQZWY0Kt0LMHmmXd59t885PL2lzxJkmA5XYamw0fOrd6pluLjYFgWKReMhrW8Co7Grnv3OmMaVgAwTEDDbRTQkXPln5+HlOzkXiVNThmUgrzzc3suGMGuv/56fPXVV9i4cSNKSkowY8YMzJ49G0OGDEFdXR0++OADnDhxAoD7fj979uwezhhdKNCDeyFCTk4OTpw4gY8//hgLFy5st2Tb47333vMOuVx99dV+PceECRO88ynWrVuHBx54oNPFD5Ik4a9//av33zNnzvTz1ZBIxjAM5Do9FLFxcDbU+VxPk54JhLmXzBNoKIxGKIzGdr123uHDMLdRkiSIgntF2tqPN2Lbll2wmK1QqZUYMWoIbvrZDGi0akByz0sSXS40Hjrk13M0Fx2DJjUFpuEFqNyyy+d6+ux0KPQdryuEBIphGNz65M/w2v1/DmgbNIVKgVufmNuveuC78sorr+C3v/0tPvnkE7S0tODtt9/uUGbKlCn405/+FBWv1x/0FbGVZwJnQ0MDHn/88Q57UO7cuRP/93//B8A9N+/KK6/06/xJSUm44oorALh34njiiSc6PIcoinjmmWfwww8/AHD3Gk6Z0r+71EnntOnZUBjjfCqrScuCIsYUMRenzlIYdNbbJEkSJFFs918oCYIAgRfwpxf/hkvHzsLSx17C52s3YevmHfjyf9/ilWf/gkvHXI+nHnkBFot7Vayl9DQg+t8LaS4pRWzBIHBK3/IMquKMSL90YsTk7SLRI6MgA79YdgcUKv9yXipUCvxi2R3IKMgIUcv6llwuxwsvvIB3330X06dPR0pKChQKBRITEzF58mS8/vrr+Pvf/z4gs0swEl15ALiDrFtuucWbnbqwsBCzZ8+G0WjEnj178OGHH8LlcoFhGPztb3/DRRdd1OEcq1evxhNPPAEAmDVrVoddLSoqKjB79mzU1tYCAHJycnDTTTchNTUVZ86cwSeffIIjR9xDSAkJCVixYgUyMkLzR3ju8uzCwsIB+QcA9G16FQ9PDidncyPstdXgzecMATIsFEYTVAlJ4JSqiAnyfOFZbetsbITtTBVElwsMy0Fu0EOTmuru9WOCm9NMFEXwLh6/vPVh7N7R8+T0G+dOx9PPP4LKrzdDCGCrQUYuR+pll8LR2IzSDVvgMneR745hYMhOQ9olE8FwrDcgDsdnbqDypFfxN4VFf3O66DSWP/u+T8O4yVlJuG3xvKgJ8vqrQD+b/t6/aei2Fcuy+Otf/4q77roLP/30E44ePYply5a1KyOXy/H00093GuT5IjU1FW+//TZ+/etfo6SkBCdOnMCLL77YoVx+fj7+9Kc/hSzII+HnCXLk+hgoDEYITgd4qwVozb0m1xmA1qAgGAERzwveHjWGZSGT9SLNSw+slZUwnzgFVydJnRsPH4E2PQ2GgnyAZYM274xlWTzxwDKfgjzAnb/KZXcEFOQBgORygbfZINNqkD93OsylFag/VAxHfRNEQQCnVECfnYa4oQWQ6zQRlZyVRKeMggw88c6jKN53HN9+shX7txxoNxeU5VgMnTQEE68dj9wROZ1OTyLRiQK9NkwmE1auXIkPPvgAa9euxfHjx2G1WpGQkIAJEyZgwYIFvV6SXVhYiM8++wyrVq3Chg0bUFRUBIvFAqPRiLy8PFx99dWYNWuWT9uxkf7Pc/PnFEqwckWHn/eGKEqAJMHpdOH7L39A7Zk6gGGQkByHyVeMBydz74YSzACk8dBhmE+VdHlc4nmYT5XAXlOLhInjwcrlvQ72RFHEyeOl+GL9Nz7XUaqUEHq5jZzEC2gsKoG9tgGmoXnIurr9Iq62eQQpyCN9gWEY5I/KQ/6oPNgsdjTVNsFutUOlUSEmPgYSI9KXjgGIAr1zyGQyzJs3D/PmzfO77g033IAbbrihx3IqlSrg5yDRK5gXX57n0VDbhA//8Sk2r/sONmv7nqu/PPcvTL3uQsy+cwYMsXq/tt/pjCRJaDlxstsgr137LBbU/LATSRdM6tXzup8beO/tj/yqY24xQ9bLL1PuhMhONJ88jeaTp6FJTcSg6VO9x2mVLAkntVbVITee1YddVkj0oSsRIVGG5wUUHzqJ+2c/gf99+FWHIA8ArGYb1q7YiPtvfhKlx8vb7QcaCEkQ0FJ83L92tphhKSvv9SINjmOx/tMv/arz0/6jkCnkUMYFtruNXK+HTKOGreZsmhxDVhokoe/zHBJCSHco0CMkigi8gKqyaiy990WYm7tYINBGU30zlvzyOdRXN0AMMEiRRBGW050kGvaBubS01z1fdpsdVovNrzpFh4/jwN5DUAc4D1abmQFHYzMsFVUAAIVBh9jBuWA4uqQSQiILXZUIiSKcjMPbr7wPS4vvQzTNDS349xsrfcqB53Kd7fnz5JRkWBbW8nL/Gwt3r56z2b+kwx0EOOT93r9WQZOUBM7Pjc1ZhQKatFTU/+TeJUeu1SDr2kspyCOERCS6MhESReprGrBrS/db7HXmuy9+gNXcdXDI8zycThfWfbwRc6/7JUbnXYZROVPx6zvd6YR4W2CrVwGAt1p7lV9OpVIi1uT/huxfrP8GJ46dQvy4MWAVvu0tzXAc4saOBm+1oel4CWLys5Fzw5WQa9U0J48QEpHoykRIlOBdPDZ89LV7tW0Adb/4eHO7HjsPURSxZdN2TB07C0898gJ+2n8EfGs5l9O9VV+vtj7rZSZPnhdw/exr/K7ncrrwr799AJlajcQLJkGu13dbXqbVImHSBMjUGpjLq5B/y3SkXTIBnFJBQR4hJGLR1YmQKMFxHCpKA9/zsuJ0FdhzhkEFXsDG9Zvx4N1L0NzUSV68BvewK6dSdTjmK5la3asVxzIZh7nzbwAbQLB17azLIYgSOJUKSRdORsKkCVCnJINVKACWBatQQJWUiPjx45B88YWQ63RgFXIYW3fFYBiGgjxCSESj9CqERAmGZSD0YtWnwPNAm3hLkiScOVODxQ8+2y7xaltFh4tRX1sPTVoqmo8W+f2cMo0GCqP/w67nSk5NxJzbZuH9f63yuc4FF43DpAvHtfuZwmiE6Xxjh8CzbbJpwD2ESwgh/QF9FSUkSvC8AKPJEHD9mNiYdsO+oijivX9+eHZ4tovn/GD5p1Clpnh38vCHNjMjaHvgPvr0Qlw76wqfyo4ZPwKv/W1ZhwC2s318AcqJRwjpv+jqRUiUYBkGF19zQcD1L50+GVybniqBF/DpRxt6rLdqxVpwCgV02Vl+PR+nVkObmRG0IIphGDz32m/x1HMPITc/u9MySSkJWPjwnfj7+69CoVAENNxLCCH9CQ3dEhIlWI7F4BH5yM7PwKljp/2qO3hkPjJz09v97MCPh9HSbO6xbnVVLV5/4e944PFfQrDbYauo7LEOp1IiYcK4oPaUeXriZs6+Gjf9bAb27NyP7zbvgNlshVqtwsgxQ3HxZRdAEETI5HTpI4QMDHS1IySK8C4et9w9Cy888rrPdRiGwZy7Z4F38e0CoKaGjosvuvLOX1fAaIrBgnvmosVggPlUCQR7JylXWAbqpGQYhwwOyj63nZHL3alSRo4eimEjBoNhGUgSwLIMWJb19uJ5UrpIggBXcwskngcjl0MR0zr83cUwLiGE9CcU6BESRWRyGSZfMR4/v282/vPmhz7VueuRn2PUBcM7DGNqtP6tpH31ub+grLQCv374TiRdkgVHTQ1sVdUQXS4wLAe5QQ9tRjpYuRyQpJDPe+M4rt1QdFuSJMHV3ALzqVOwVp4B2szVY+RyaNPToMvOAqdU0vw8Qki/RoEeIVGGYRjc/IuZiE+Ow3tvfoiaM3WdlktKS8Dtv5mDyVeM73SuWuGQfMhkHHje963NPnzvM3y8cj1+9Zv5uOu+eVDFx4PhOHfvWdvgLsw9Zc1Fx9By/ESnxySXC+aTp2AuKUHs8OHQpKZQzx4hpN+iQI+QKMS0Lsy4dPpk7Nr6I7765BvUVteDAYOElDhcMesSjJo0HAIvdLkgwRhrwKVXXogv1m/267l5F4/cgmzY6upRv3MXwDIw5OZCn5vT+xfWS5IkoflYcZdBXjuihIYf94PhOKgTE6hnjxDSL1GgR0iUksncw5ZjLhiB8ReNandM4AUwDNPtogRRFDFvwY1+B3pJyQm4+PIL0HjgYOuJJDibm8MeKEmSBN5iQUvxcb/qNew/APVll4aoVYQQElr0FZWQKMfJOs5T6+xnHcpwHEaPH4G582/w+bnkCjmef/234G122M6c3aVD6kUi52Aynyrxu47E87CUlQct399A4Xm/JEGE4HBCbN02j95HQvoW9egRQrr1+NL7wTIM3nun+10nNFo1Xv3LHzDi/CGo/2En0Cb5MhsB6UwkUYS1vCKgupbSUuiyMoPcougkiSLAMGg5XYn6g8dgKT8b8Mv1WsSelwvTeXmtq65p7iMhoRb+qy8hJKIxDIPHlt6Pa2ddgffeWYUv1n8Dp8PpPZ6UnIAb507HzT+fCZ1Ghfpdu+BqaZ+aRZWQAEkUwzp8K1itkATfF5a05WoxQ5IkWpTRA0kU4bJYUbL+Gzg72RvZ1WJB9Q/7UbP7IJIvGIPYwTn0nhISYhToEUJ8MmRYIZ555Uk8+bvf4OTxUthtDhiMeuQPzoHgdMJeUYnaH0sgOhzt6rFyuXvlapjn6Il+rB7ujCSKtMdtNyRRBG+14cQnX0CwObovK4io3LITkijCdF4e9eyRgL3xxhv485//7He9WbNm4fnnnw9BiyIPBXqEEJ8wDGCvqobQ1IQckw4MFwOR59F44KB7Pl6bodq2tJkZfdzSzrGtiZQDwjBgKcjrFsOyKN24tccgr60z3++BNjURSqOBevZInxpInzcK9AghPmFYFuqUZDjqG9B46LBPdVQJ8TAU5EfERVWm1YBTqyHYbH7XVSXEh6BF0UOSJNhq6mGvbfC3IuoPHEXKheNC0zAS9a655hqcd955PZZraGjA0qVLwfM8tFot7rzzzj5oXWSgQI8Q4hfj0PPAKuRoPn6i3Y4S59KkpyF22NA+bFkPJAnazAw0Hy3yu6ouKyvscwwjXf1B/99XAGgsLkHypFFgetPjSgas3Nxc5ObmdltGkiTcdddd4Hn3yu9ly5YhLy+vL5oXESjQI4T4TZ+XC112Fsylp2EtKwNvdfeScUoFNKmp0GZlQaZWRdQCBoZlocvMQMvxE5BaL/i+kOl01KPXA4ZhYCmvCqiuxAuwVtVBl54c5FYR4rZixQps3boVADBjxgxcc801YW5R36JAjxDiN4ZhwMjl0A/KhuGcHS/a9nxFSpDnwXAc4saMQu3OXV3OKWyLVSgQP24M9eb5wJMnLxCCwxlRXwqigdVsRW1VPexWB1QaJeKTTAMyc251dTVefvllAIDRaMSTTz4Z5hb1PQr0CCEB6yz4ieSAiGFZKGNjkTB+POr27uuwQrgtuV6PuLGjwSmVEf2aIgUj5wA/ekrbYhVyCvKCQJIkHNh5COs++ALbN+2G2CZROcuxGHfRKFx5w8UYOmZwGFvZt15++WVYLBYAwMMPP4zY2Ngwt6jvUaBHCBlQGJaFwhiDlKmXwFZVDUtJCZyNTZAEAYxMBlV8HHTZWVCaTNST5wdNUjxaTpX7XY9hWagTTCFo0cBSfPgkXl38F5QeL+v0uCiI2LFpN3Zs2o30nFQ89Oy9yDtvUB+3sm8dOXIEn332GQCgoKAAN954Y5hbFB4U6BHSjwiCCLFN0l+ZXEY9IQHwBG/qxARokpPaHZMkqUM50j1JFGEaWhBQoKcflA5OqQhBqwaOvdsO4NkHX4Xdx9Q2ZScq8MSCP+DJVx/EqEnDQ9y68HnjjTe8f8+/+c1vwA7Qv2cK9AjpB3gXD5lchgM7D6Ho4HE4HU5odRqMv2Q00rJSvMeJfzodeqbA2W8My0KXlgRFjL7THTG6Eze8EJAA0NsekOLDJ/0K8jzsNgeeffBVPPfOkqjs2SstLcXXX38NAMjJycFll10W5haFD90ZCIlgoihCEiWsWbER/1v5JSpPt1/Z+PYr72PYmMGYdfu1GHfRKApSSNhIgoiMKybj5Kdf+rwwI37UEKgTTPS5DZAkSXh18V/8DvI87DYHXvvtX/DGR89H3e/gP//5D8TW9E8LFiyIutfnj4HZj0lIPyCKIpwOF377y+fw9h/f6xDkeRzcfQR/uP+P+PfrK/u4hYScxXAslEYDsqdPBadS9lg+YfRQJI0bMaBvwL11YOehLufk+aqkuAwHd/mWAL2/sFgsWL16NQAgPj4e119/fXgbFGYU6BESwZ598FWfL8Ifvf0ZVr2z1vstlpC+xrAsVHFGFPzsOqRMHgNlbEy746xcDtPQfOTdci0SxgwLUyujx/qVXwblPOuCdJ5IsX79erS0uKcQzJ49GwrFwJ4DSkO3hEQgnhewe+s+7N12wK967//fR7hq9lRodZoQtYyQ7jEsC4ZlYRycC9PQfLgsVggOF1gZB5lW7e7BYxjqyeslq9mKbV/vCsq5tn21E1azFZoouW58+eXZwPWqq64KY0siA/XoERKBZDIOa97/3O96TocLn3/0NfheJK8lJBhYzn17kWs1UJlioDDowHKcOxCkIK/Xaqvq2+XJ6w1REFFX7ec+xRHKZrNh27ZtAIDs7GwMHjxwcgZ2hQI9QiJQXXUD9v9wKKC6G1dvphW4hEQ5uzWwBRhdsVnsQT1fuHz33XdwtCZCnzZtWphbExko0CMkAlWermqXz80fZ8qrg9waQkikUWl6XvDiD7VWFdTzhcuWLVu8jy+//PIwtiRyUKBHSAQS2iRF9pcouFOyEEKiV3ySyTs83lucjENcYnRsDbZ3714AgFwup2HbVhToERKBYuOMAdeNidWDYWkOFCHRTKPTYNLUsUE518SpY6NiIYbD4UBxcTEA95ZnA321rQcFeoREoMzcNKQPSg2o7oVXTepVjyAhpH+45ubgDE1eG6TzhNuJEye8177zzjsvzK2JHBTo+eCXv/wlCgsLvQkYg6GoqAhPPPEEpk6dimHDhmHSpEn4+c9/jo8++ohu0gS8iw/4Ij5j3lUDdk9HQgaS4eOGIDM3vVfnyMpLx7Cx0REUlZaWeh/HxcWFsSWRhe4GPVi9ejU2b94c1HN++OGHuOGGG7B69WqUl5fD5XKhvr4eO3fuxOLFi3HbbbehsbExqM9J+heZXIYrZl2ChJR4v+pNmTYRyemJlL6CkAGAYRg8+Mw9UKkDW5ihUivxwLJ7ouZ6UVV1dvcgnU4XxpZEFgr0uvHNN9/gqaeeCuo5t2zZgiVLlsDlckGtVmPBggX44x//iCeffBIFBQUAgF27dmHRokW0w8EAJ5Nz+MNfH4fRZPCp/NDRg7Fo2T0QaSEGIQNG3nmD8OSrD/od7KnUSjz56oPIO29QiFrW9ywWi/exweDbdXMgoECvC6tXr8bChQvhcrmCdk6n04mlS5dCkiRoNBq89957ePzxxzF9+nTcfvvtWLVqFa644goA7lxA69evD9pzk/5HJpMhKS0Br/53GcZMGdnlt26VWonpc6/Esr89AY7jwNJCDEIGlFGThuO5d5b4PIybkZOG595ZglGThoe4ZX3rV7/6FY4ePYqjR49izpw54W5OxKCsqudoaWnBSy+9hA8++CDo5964cSPKytwbUN91110YOnRou+MKhQIvvPACdu7cicbGRvz1r3/F9OnTg94O0n/IZDLExhmx9M1HUVNZi7X//QLFh07CYXdAp9dizJSRuGLWxVAoFGBY2laKkIEq77xB+POq53Fw12Gs++ALbPt6V7udMzgZh3EXnY8rbrgEQ0cXQqvVhrG1pC9RoNfG2rVr8eyzz6Kurg4AYDKZcOWVV+K///1vUM7v6aFjGAZz587ttIxWq8UNN9yAt99+G0VFRTh58iQGDYqernXiP07GAQDik+Nw2/03g+M47zHexUfNLhiiKAGSBJ7nUVVRC6fdAZ1Bh6S0hKh6nYSECsMwGD5uCIaPGwKr2Yq66gbYLHaotSp3njwWkCSJvhAOMHTlbOODDz7wBnlTpkzBM888g++//z5ogd7OnTsBAIWFhTCZTF2WmzhxIt5++20AwLfffkuBHgHgvoi3DfIARE3wI0kSKkoq8dl7G7B53XewWc9ux5SenYKrZl+GK2+4FHKFDDJZdLxmQkJJo9N0yI1ntVrD1BoSTnTFPEdaWhoeeughXHvttUE9b1VVFZqbmwEA+fn53ZbNzc31Pj5y5EhQ20FIJPrPnz/Eyn982umxslOV+MdL/8HKv3+Cp/78CPLOG+Tt5SSEENI9WozRxqJFi7Bx48agB3kAvHPzAHcw2Z2kpCRvHrSKioqgt4UEl9S6Olp0ucDbbBAcDkiS5P056ZokSXj3T//tMshrq7nRjMW/eBanjp0G7+L7oHWEENL/UY9eG6NGjQrZuRsaGryPY2O731NQLpdDo9HAbDZTPr0I5gnkrJVnYCkphbPN74pVKKDNSIcuKxOsUklzYjohCiKO/XQCH729xuc6DpsDzz/8J/xt7SshbBkhhEQPCvT6iM1m8z5WKnvOd6RUKmE2m2G323ssGwzFxcUDdjcFTwodl8uF/fv391heJpMhLy8PcDhQt3M3hE5+R6LTiZbjJ9By/AQMhQUw5Obg9OnT7QL+gUwul6OwsBCfvbfB77pnyqqxd9sB5A7NQklJSQhaF3r+fuZI4HieB8dxYBhmwM9RkyTJ+/+B/l5EAkEQ4HQ6YbPZ/LoO+Jtjt98Heps2bcI999wTUN2vvvoK6em92z7GV223NfNlo2VPGZ7vmyEqQRBo6zXAp7yJebm5YJxOVG//AZIP5ZuPFgGShPTcHFgslnZJPQequLg4WFqs+P6rnQHVX7tiI55642EwDAOn0xnk1vWtYObqJN3zBDqE3otIIklSSK8D/T7Q6y/a9uL58gv13LzkcnnI2tSWO9HuwO7RA3p+v3U6HTRaLaq2fOdTkOfRXHQMyvh4JCcnt9uPcaBSq9U49tOJgOfaHd1/DACg0Wj65Q3Ln88c6Z22X5YH+hSKtn8rA/29iCQMw/iVTUAURb86Zvp9oJeZmYk77rgjoLp6vT7IremaRnN2mbvD4eixvKeMSqUKWZvaysvLG7B7A+7fvx8ulwtyuRwjRozotqwkSXA0NMDV0uL381hOlSB25PAen2OgOGItDriu3eb++2i7Qr0/8eczR3rn2LFj3uHbttfhgchqtXrz6A309yIScBwHhUIBmUzWYzaOtsxmM44ePepz+X4f6OXm5uKxxx4LdzN61Hbfvaampm7Lulwu7/yJ7vLtkfAwnwpsXpj1zBkYh54HhnpwAABaQ+CZ+TVadRBbQggh0WtgjtWFQXZ2tvdxZWVlt2Wrqqq8ky1TU1ND2SziJ4Zh4KgPcEGFKMLZ0BjU9vRnhcPzoNYE1mM9cuIw904ahBBCukWBXh+JjY1FXFwcAPdQQneKi88OaRUUFIS0XcR/Ui8WyIg83y/nlIWCQiHHxddODqjujJ9dBYDeR9Izz24ygiDQ3x6JGJIkeefZnbvjUbBRoNeHxo0bBwA4fPgwWrqZ47V9+3bv4/Hjx4e8XcQ/TC+24GJlMpoE7cEwmPnzq8By/l2G8oYMQsHw3AG7eIj4x5PBgFKKkEjimS8J+JaJozfoStmHpk2bBsC9CmzFihWdljGbzfj4448BAIMGDcLgwYP7rH2kZ5IkQWnqPuF1l1gWilhjUNvTn7Esg9SMZPxq8QKf6xjjYrD4tUXgeUoFRHzTdn50fX099eqRsJMkCfX19d5/t/2MhgIFen3o8ssv9+bte/PNN7Fr1652x51OJx599FHvbhgLFvh+AyR9R5edFVA9TXJyr3oDoxHLsbhy1qV4cNk9UKq6/1abmZuGV977PYwmA2S01y3xkU6n8/aim81mlJWVwWKxUMBH+pwkSbBYLCgrK4PZbAbgnvcd6owXdNcJoh07duC2224D4B5yXb58ebvjCoUCixcvxr333gu73Y758+dj9uzZGD16NBobG7Fy5UoUFRUBAEaPHo2bbrqpz18D6R7DMFDGxkKu1/udYkU3KLAAMdqxLIOLr5mMSVPHYuPqzVj/4ZeoKDnjPTZ68khcN/dKjLpgBARBpCCP+IVlWaSlpaG8vBySJMFsNsNsNoNhmJDPjYo0bXOvDbTXHgnOnSfKMAzS0tJCPg2FAr0+NnXqVDz99NN45pln4HK58P777+P9999vV2b48OF466236A8xQkmiiLjRo1D1/TafkyYbCvIhNxhofl4XOI6FWqvGtXOuwMxbr4bL6YLLxUOlUoLlWAi80JpUlP4miP/0en27YA9w96701c5DkaLtLjKhnhdGuucJ8voiny8FemEwd+5cjB07Fu+++y6+//571NTUQC6Xo6CgANdddx1uvvlmypYfAaS2+wkyjDdIY1gWnFqFxEkTUfvDzk73um0rZnAh9DmDQtnUqCGTuy9JcoUccsXZvwGOAjzSS3q9HgUFBTCbzWhubobT6Rxw2z7abDZvwmR/dmIgweFJkGwwGKDT6fpsQRkj0USFAenczNqFhYUDfmcMnU7nTWcjiQKcTQ3uVCoMA06pglwfA+Ds1kGeQNBaeQaWklI4W+dWAgCrUECbkQ5dViZYpZJ68kg7tDMGCQf63EUHf+/fFNITAveE7by8PAgOO+zVlXA2NQDnfAdiZHKo4hKgik8CWBZM67cxTUoytGmpEF0uiDwPhmXBKhSAJHnLEEIIIeFAgR4Z8NRqNXJzcuAyN8NSeqJDgOch8S7YqirgaKyHIacAkMnBMIw3mGPlcrBth9ypF48QQkiYUXcDGfAyMzPBWy3dBnltiQ47mk8UAW3n8BFCCCERiAI9MuAplUrYKkp9CvI8RIcd9toqysVFCCEkolGgRwY0SZLgMrdAcHS/crYz9vqaELSIkO5JoghJEN3/p15lQkgPaI4eGfAcAQZskssFV0sT5PoYWlVLQsqb+00QYK2odKf0kSRwKhU0qSneHVfoc0gIORcFemRAYxgGgsMRcH3BYYdcZ6CFFyRkJFGE4HCgpfg4rBWVkM7J/dZ4+Ag0KcnQ5+VCplbTSm9CSDsU6BEi9WL4i+bokRCSRBGu5hbU7twFsatdWEQR1vIK2KqqEDd6NJSmWAr2CCFedDUgAx4rC3wXEpayy5MQkSQJgt2Omu6CvLbleQF1u/fAZbbQ3D1CiBcFemRAk0QRcqMpsMoMA3kM9Z6Q0Gk6eszn/ZQB9xy+piNH6TNJCPGiqwEZ0BiWhdJoAsP5v5eqIsYEhqU9WEloiC4XbFVn/K7nqK0F37qnKSGEUKBHBjxJktzbmvmDYaBKTA5Ng8iAJ4kirGXlgBhYsGYpPU3zRwkhACjQIwSVZ85AnZQKhTHOtwoMA11mDjilitJZkJDhrdbe1aXPJiEEtOqWENTV1YHjWCRnDoJNqXTveHFOCgsPTqWGJjUTMq2OgjwSWr3pkZMk+nwSQgBQoEcIAKC8vAKCICI1NRWqhGQ4G+vhbKyHKPAAGHBKJZRxiZBrdZAkkW6iJORYpbJXdSVRpEUZhBAK9AjxqKurQ1paGsAwUBhNUJrivcfaTmxnGLp5khBjGGjSUtFSfDyg6tq0VBq6JYQAoDl6hHTq3J4QhmGoF4/0GYZhINdqoTT5n/pHrtdDYTTS55UQAoACPUIIiUiSKEKfn+t3z5w+P48SJhNCvCjQI4SQCMSwLJQmE4xDh/hcJ2ZwIdRJiTQ3jxDiRXP0CCEkQjEMA21GOjiVEk1HisCbzZ2Wk2k0MBTkQ52STEO2hJB2KNAjhJAIxjAMVPHxUF+UCEd9AyynyyDYbYAEsColtOlpUMXHu1fZUpBHCDkHBXqEEBLhPEOxilgjFLHtF1p45uPRcC0hpDMU6BFCSD/RWY8dBXiEkO7QFYIQQgghJEpRoEcIIYQQEqUo0COEEEIIiVIU6BFCCCGERCkK9AghhBBCohStuh2gBEFo92+r1RqmloSf2JqeQhRFmLtISEtIMNFnjoQDfe6iw7n363Pv5+diJEmSQtkgEpmqq6tx+vTpcDeDEEIIIb2QkZGBxMTELo/T0C0hhBBCSJSiQI8QQgghJErRHL0Bymg0tvu3UqkEx3HhaQwhhBBCfCIIAhwOh/ff597Pz0Vz9AghhBBCohQN3RJCCCGERCkK9AghhBBCohQFeoQQQgghUYoCPUIIIYSQKEWBHiGEEEJIlKJAjxBCCCEkSlGgRwghhBASpSjQI4QQQgiJUhToEUIIIYREKQr0CCGEEEKiFAV6hBBCCCFRigI9QgghhJAoRYEeIYQQQkiUokCPEEIIISRKUaBHCCGEEBKlKNAjhBBCCIlSFOgRQgghhEQpCvQI8dEvf/lLFBYWYvXq1eFuCumHJEnCmjVrMH/+fEyYMAHDhw/H1KlT8dhjj2H//v3hbh4ZIH73u9+hsLAQb7zxRribQvqILNwNIKQ/WL16NTZv3hzuZpB+ym634ze/+U2Hz1B5eTnKy8uxZs0aPPDAA7j77rvD00AyIGzbtg3//e9/w90M0sco0COkB9988w2eeuqpcDeD9GOLFy/2Bnm5ubm4+eabER8fj59++gn//e9/YbVa8cc//hFJSUmYOXNmeBtLotLBgwexcOFCiKIY7qaQPkZDt4R0Y/Xq1Vi4cCFcLle4m0L6qe+++w5r164FAEycOBEff/wx5s+fj+nTp+Oxxx7DRx99BKPRCAB49tlnYTabw9haEo2++eYbLFiwgD5bAxQFeoR0oqWlBU899RSeeOIJOJ3OcDeH9GNvv/02AEAmk2HZsmVQKpXtjufm5mLJkiUAgMbGRnz44Yd93kYSnZxOJ15//XXcc889aG5uDndzSJhQoEfIOdauXYtp06bhgw8+AACYTCbMmTMnzK0i/VFjYyO+//57AMCFF16IjIyMTstdc801iIuLAwBs2LChz9pHotf333+Pq6++Gm+++SZEUYRGo8GCBQvC3SwSBhToEXKODz74AHV1dQCAKVOm4OOPP8bIkSPD3CrSH+3atcs7J2rixIldlmNZFuPGjQMA/Pjjj2hqauqT9pHo9dlnn6GsrAwAMGzYMHz44Ye49NJLw9wqEg60GIOQTqSlpeGhhx7CtddeG+6mkH7s2LFj3scFBQXdls3LywPgTsNSVFTkDfwICZTJZMLChQsxZ84ccBzn/QJLBhYK9Ag5x6JFizB8+HDIZPTnQXqnvLzc+zgtLa3bssnJye3qUaBHemPevHlYunQpVCpVuJtCwozuZIScY9SoUeFuAokS9fX13sexsbHdlvWsvAXcc/sI6Y3hw4eHuwkkQtAcPUIICRG73e59fO5q23MpFIpO6xFCSG9Qjx6JCps2bcI999wTUN2vvvoK6enpQW4RIQDP897HbQO5zrQ93rYeIYT0BvXoEUJIiLSdH9VT0u22+Rp7CgoJIcRX1KNHokJmZibuuOOOgOrq9fogt4YQN41G433scDi6DeDaBno9DfMSQoivKNAjUSE3NxePPfZYuJtBSDsGg8H7uLGxsdsvFW0XYJhMplA2ixAygNDQLSGEhEh2drb3cWVlZbdlz5w5432cmpoaqiYRQgYYCvQIISREcnNzvY/bJk/ujOc4wzDIz88PabsIIQMHBXqEEBIio0aNglwuBwDs2LGjy3KCIGDnzp0AgMGDB7cb8iWEkN6gQI8QQkLEYDB497j9+uuvUVFR0Wm5devWeZMrX3311X3WPkJI9KNAjxBCQmj+/PkA3OlVFi1aBLPZ3O54cXExnnnmGQCAVqvF7Nmz+7qJhJAoRqtuCSEkhKZMmYJp06bh888/x969ezFz5kzMnTsXKSkpOHToEFasWAGLxQIAePTRR2nFLSEkqCjQI4SQEHvhhRdgsViwdetWlJWV4aWXXmp3nGEYLFy4EHPmzAlTCwkh0YoCPUIICTG1Wo1//OMfWLNmDT755BMcPnwYLS0tMBqNGDNmDG677TaMGTMm3M0khEQhRpIkKdyNIIQQQgghwUeLMQghhBBCohQFeoQQQgghUYoCPUIIIYSQKEWBHiGEEEJIlKJAjxBCCCEkSlGgRwghhBASpSjQI4QQQgiJUhToEUIIIYREKQr0CCGEEEKiFAV6hBBCCCFRigI9QgghhJAoJQt3AwghJJqsXr0aTzzxRI/lOI6DUqmEyWRCXl4eJkyYgJkzZyIuLs6v56urq8OGDRvw3XffoaioCHV1dXA6ndDr9cjMzMT555+P6dOnY8SIEYG+JJ8dO3YM119/PXiex9GjR0P+fISQnjGSJEnhbgQhhEQLXwO9zmg0Gjz88MOYN29ej2UbGxvx2muvYdWqVXA6nT2WnzJlCpYuXYqMjIyA2tYTm82GuXPn4vDhwwBAgR4hEYJ69AghJEQyMjIwd+7cTo+JogibzYbKykps3LgRZrMZVqsVv//978GybJf1AGDfvn247777UFtb6/1ZdnY2xowZg5SUFCgUCtTU1GDPnj346aefAABbt27FTTfdhLfeegtjxowJ6ut0OBz49a9/7Q3yCCGRg3r0CCEkiNr26I0fPx7Lly/vsU5TUxPuu+8+7Ny5E4C7Z2/jxo1ISEjoUHb//v247bbbYLPZAACDBw/G4sWLMX78+E7PvWfPHjzxxBM4deoUACAmJgYrV65EdnZ2AK+uo+rqajzwwAPYvXt3u59Tjx4hkYEWYxBCSJjFxMTgzTffhE6nAwBYrVZ8+umnHcqZzWbcd9993iDv0ksvxcqVK7sM8gBg9OjRWLFihXfItqmpCU899VRQ2r1161bMmjWrQ5BHCIkcFOgRQkgEiImJwfTp073/3rZtW4cyb7zxBqqrqwG4h2pfffVVKJXKHs9tMpnw3HPPef+9Y8cObN++PeC2Hj9+HPfccw/uvPNO7/DxyJEjERsbG/A5CSGhQYEeIYREiNzcXO/jM2fOtDvW3NyMlStXev+9aNEiqNVqn889btw4b8+fwWDo1dDq0qVLsWnTJgAAy7K49dZbsXz5cmg0moDPSQgJDVqMQQghEYLjuE4fA8CXX34Jq9UKwN37d/nll/t9/qeeegqiKKKgoAAMw/SusXD34j3++OMYPXp0r89FCAkNCvQIISRCHDlyxPs4MzOz3bHvv//e+3js2LEdAkFf5OfnB964NsaMGYMFCxZg6tSpQTkfISR0KNAjhJAIUFtbi/Xr13v/fdFFF7U73naoNdw9aA888EBYn58Q4juao0cIIWFWUlKCu+++G2azGQCQmJiImTNntivTds5eUlJSn7aPENJ/UY8eIYSESGVlJf75z392eszlcqGhoQGHDh3Crl27IIoiAPfcvBdffLHDalrP/DwAtLqVEOIzCvQIISRETp8+jRdffNHn8gkJCXjppZcwadKkDsdY9uwAjC9bnhFCCECBHiGEhIVCoYBOp0NCQgKGDh2KCy64ANOmTYNCoei0vMFg8Oasa2ho6MumEkL6MQr0CCEkRHzdAs0XmZmZ3kCv7R63hBDSHVqMQQgh/cDQoUO9jwPdcsxsNmP9+vWoq6sLVrMIIRGOAj1CCOkHJk+e7H28c+fOgObpbd26FQ8++CAmT56MWbNmgef5YDaREBKBKNAjhJB+YMqUKd7VtlarFV9++aXf51i1ahUAQJIkxMfHQyaj2TuERDsK9AghpB+Qy+WYN2+e99+vvfZau5QrPfnhhx+wZcsW77/nzp0b1PYRQiITBXqEENJPLFiwAImJiQDcSZYXLVrk0xDu6dOn8cgjj0CSJADunTVo+zJCBgYK9AghpJ/Q6XR46aWXIJfLAQCbNm3CjTfeiG3btnVaXhRFrFu3DjfffLN3Z42YmBi89NJLfdZmQkh40QQNQgjpRyZOnIhXXnkFjzzyCOx2O4qKijB//nxkZ2djwoQJSElJgSiKKC8vx7Zt21BRUeGtGxcXh7///e9IT08P4ysghPQlCvQIIaSfufLKK5GVlYXf//732LVrFwDg1KlTOHXqVJd1rrjiCixZsoT2ySVkgKFAjxBC+qHCwkK899572LdvHzZu3Ij9+/fj1KlTaG5uhiiK0Ov1yMrKwpgxY3D99dcjPz8/3E0mhIQBI3lm5xJCCCGEkKhCizEIIYQQQqIUBXqEEEIIIVGKAj1CCCGEkChFgR4hhBBCSJSiQI8QQgghJEpRoEcIIYQQEqUo0COEEEIIiVIU6BFCCCGERCkK9AghhBBCohQFeoQQQgghUYoCPUIIIYSQKEWBHiGEEEJIlKJAjxBCCCEkSlGgRwghhBASpSjQI4QQQgiJUhToEUIIIYREqf8HBM2lgoDEnV8AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import sklearn.decomposition\n",
+    "pca = sklearn.decomposition.PCA(n_components=2)\n",
+    "components = pca.fit_transform(X)\n",
+    "\n",
+    "#Use scikit-learn's [`PCA`](http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html) \n",
+    "#function to reduce the dimensionality of your clustering data to 2 components\n",
+    "#Create a data frame with the following fields:customer name cluster id the customer belongs to\n",
+    "#the two PCA components (label them `x` and `y`)\n",
+    "#Plot a scatterplot of the `x` vs `y` columns\n",
+    "#Color-code points differently based on cluster ID\n",
+    "#How do the clusters look?\n",
+    "\n",
+    "for k in range(2,10):\n",
+    "    kmeans = KMeans(n_clusters=k).fit(X)\n",
+    "    labels = kmeans.fit_predict(X)\n",
+    "    df3 = pd.DataFrame({'customers':merge_df2.index, 'x':components[:,0], 'y':components[:,1], 'cluster_id':labels})\n",
+    "    sns.scatterplot(x='x',y='y',hue='cluster_id',data=df3)\n",
+    "    plt.title('PCA Scatter of Cluster #'+str(k))\n",
+    "    plt.xlabel('PC 1')\n",
+    "    plt.ylabel('PC 2')\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Based on what you see, what seems to be the best value for  𝐾? Moreover, which method of choosing  𝐾 seems to have produced the optimal result visually?\n",
+    "A: From these scatter plots the based value of K seems to be 3. The clusters in have strong variance and not much overlap."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now look at both the original raw data about the offers and transactions and look at the fitted clusters. Tell a story about the clusters in context of the original data. For example, do the clusters correspond to wine variants or something else interesting?\n",
+    "\n",
+    "A:The K clusters could correspond more to the \"origin\" variable than the \"varietal\" variable since there are 3 specific origins. It is also possible that the spaces of overlap could be representative of the \"past_peak\" variable. this two dimensional variable could be a principal component responsible for some a good amount of the variance in the clusters."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "ip7bNDsDymYM"
+   },
+   "source": [
+    "What we've done is we've taken those columns of 0/1 indicator variables, and we've transformed them into a 2-D dataset. We took one column and arbitrarily called it `x` and then called the other `y`. Now we can throw each point into a scatterplot. We color coded each point based on it's cluster so it's easier to see them."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "30rRDyjzymYN"
+   },
+   "source": [
+    "<div class=\"span5 alert alert-info\">\n",
+    "<h3>Exercise Set V</h3>\n",
+    "\n",
+    "<p>As we saw earlier, PCA has a lot of other uses. Since we wanted to visualize our data in 2 dimensions, restricted the number of dimensions to 2 in PCA. But what is the true optimal number of dimensions?</p>\n",
+    "\n",
+    "<p><b>Exercise:</b> Using a new PCA object shown in the next cell, plot the `explained_variance_` field and look for the elbow point, the point where the curve's rate of descent seems to slow sharply. This value is one possible value for the optimal number of dimensions. What is it?</p>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "GeC4yWmiymYO"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0, 0.5, 'Proportion of Variance Explained')"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#your turn\n",
+    "import sklearn.decomposition\n",
+    "pca = sklearn.decomposition.PCA()\n",
+    "pca.fit(X)\n",
+    "\n",
+    "\n",
+    "#Using a new PCA object shown in the next cell, plot the `explained_variance_` field and look for the elbow point, \n",
+    "#the point where the curve's rate of descent seems to slow sharply.\n",
+    "\n",
+    "variance = pca.explained_variance_ratio_\n",
+    "plt.plot(range(len(variance)), variance)\n",
+    "\n",
+    "plt.xlabel(\"Number of Components\")\n",
+    "plt.ylabel(\"Proportion of Variance Explained\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This value is one possible value for the optimal number of dimensions. What is it?\n",
+    "\n",
+    "A:It looks like this value could be 4 based on the elbow point of the plot."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "_a0Q7XtFymYR"
+   },
+   "source": [
+    "## 4. Conclusions and next steps\n",
+    "### 4a. Conclusions\n",
+    "What can you conclude from your investigations? Make a note, formulate it as clearly as possible, and be prepared to discuss it with your mentor in your next call. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "gyu7Drl4ymYR"
+   },
+   "source": [
+    "### 4b. Other clustering algorithms\n",
+    "\n",
+    "k-means is only one of a ton of clustering algorithms. Below is a brief description of several clustering algorithms, and the table provides references to the other clustering algorithms in scikit-learn. \n",
+    "\n",
+    "* **Affinity Propagation** does not require the number of clusters $K$ to be known in advance! AP uses a \"message passing\" paradigm to cluster points based on their similarity. \n",
+    "\n",
+    "* **Spectral Clustering** uses the eigenvalues of a similarity matrix to reduce the dimensionality of the data before clustering in a lower dimensional space. This is tangentially similar to what we did to visualize k-means clusters using PCA. The number of clusters must be known a priori.\n",
+    "\n",
+    "* **Ward's Method** applies to hierarchical clustering. Hierarchical clustering algorithms take a set of data and successively divide the observations into more and more clusters at each layer of the hierarchy. Ward's method is used to determine when two clusters in the hierarchy should be combined into one. It is basically an extension of hierarchical clustering. Hierarchical clustering is *divisive*, that is, all observations are part of the same cluster at first, and at each successive iteration, the clusters are made smaller and smaller. With hierarchical clustering, a hierarchy is constructed, and there is not really the concept of \"number of clusters.\" The number of clusters simply determines how low or how high in the hierarchy we reference and can be determined empirically or by looking at the [dendogram](https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.cluster.hierarchy.dendrogram.html).\n",
+    "\n",
+    "* **Agglomerative Clustering** is similar to hierarchical clustering but but is not divisive, it is *agglomerative*. That is, every observation is placed into its own cluster and at each iteration or level or the hierarchy, observations are merged into fewer and fewer clusters until convergence. Similar to hierarchical clustering, the constructed hierarchy contains all possible numbers of clusters and it is up to the analyst to pick the number by reviewing statistics or the dendogram.\n",
+    "\n",
+    "* **DBSCAN** is based on point density rather than distance. It groups together points with many nearby neighbors. DBSCAN is one of the most cited algorithms in the literature. It does not require knowing the number of clusters a priori, but does require specifying the neighborhood size."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "8tRpy3OaymYS"
+   },
+   "source": [
+    "### Clustering Algorithms in Scikit-learn\n",
+    "<table border=\"1\">\n",
+    "<colgroup>\n",
+    "<col width=\"15%\" />\n",
+    "<col width=\"16%\" />\n",
+    "<col width=\"20%\" />\n",
+    "<col width=\"27%\" />\n",
+    "<col width=\"22%\" />\n",
+    "</colgroup>\n",
+    "<thead valign=\"bottom\">\n",
+    "<tr><th>Method name</th>\n",
+    "<th>Parameters</th>\n",
+    "<th>Scalability</th>\n",
+    "<th>Use Case</th>\n",
+    "<th>Geometry (metric used)</th>\n",
+    "</tr>\n",
+    "</thead>\n",
+    "<tbody valign=\"top\">\n",
+    "<tr><td>K-Means</span></a></td>\n",
+    "<td>number of clusters</td>\n",
+    "<td>Very large<span class=\"pre\">n_samples</span>, medium <span class=\"pre\">n_clusters</span> with\n",
+    "MiniBatch code</td>\n",
+    "<td>General-purpose, even cluster size, flat geometry, not too many clusters</td>\n",
+    "<td>Distances between points</td>\n",
+    "</tr>\n",
+    "<tr><td>Affinity propagation</td>\n",
+    "<td>damping, sample preference</td>\n",
+    "<td>Not scalable with n_samples</td>\n",
+    "<td>Many clusters, uneven cluster size, non-flat geometry</td>\n",
+    "<td>Graph distance (e.g. nearest-neighbor graph)</td>\n",
+    "</tr>\n",
+    "<tr><td>Mean-shift</td>\n",
+    "<td>bandwidth</td>\n",
+    "<td>Not scalable with <span class=\"pre\">n_samples</span></td>\n",
+    "<td>Many clusters, uneven cluster size, non-flat geometry</td>\n",
+    "<td>Distances between points</td>\n",
+    "</tr>\n",
+    "<tr><td>Spectral clustering</td>\n",
+    "<td>number of clusters</td>\n",
+    "<td>Medium <span class=\"pre\">n_samples</span>, small <span class=\"pre\">n_clusters</span></td>\n",
+    "<td>Few clusters, even cluster size, non-flat geometry</td>\n",
+    "<td>Graph distance (e.g. nearest-neighbor graph)</td>\n",
+    "</tr>\n",
+    "<tr><td>Ward hierarchical clustering</td>\n",
+    "<td>number of clusters</td>\n",
+    "<td>Large <span class=\"pre\">n_samples</span> and <span class=\"pre\">n_clusters</span></td>\n",
+    "<td>Many clusters, possibly connectivity constraints</td>\n",
+    "<td>Distances between points</td>\n",
+    "</tr>\n",
+    "<tr><td>Agglomerative clustering</td>\n",
+    "<td>number of clusters, linkage type, distance</td>\n",
+    "<td>Large <span class=\"pre\">n_samples</span> and <span class=\"pre\">n_clusters</span></td>\n",
+    "<td>Many clusters, possibly connectivity constraints, non Euclidean\n",
+    "distances</td>\n",
+    "<td>Any pairwise distance</td>\n",
+    "</tr>\n",
+    "<tr><td>DBSCAN</td>\n",
+    "<td>neighborhood size</td>\n",
+    "<td>Very large <span class=\"pre\">n_samples</span>, medium <span class=\"pre\">n_clusters</span></td>\n",
+    "<td>Non-flat geometry, uneven cluster sizes</td>\n",
+    "<td>Distances between nearest points</td>\n",
+    "</tr>\n",
+    "<tr><td>Gaussian mixtures</td>\n",
+    "<td>many</td>\n",
+    "<td>Not scalable</td>\n",
+    "<td>Flat geometry, good for density estimation</td>\n",
+    "<td>Mahalanobis distances to  centers</td>\n",
+    "</tr>\n",
+    "<tr><td>Birch</td>\n",
+    "<td>branching factor, threshold, optional global clusterer.</td>\n",
+    "<td>Large <span class=\"pre\">n_clusters</span> and <span class=\"pre\">n_samples</span></td>\n",
+    "<td>Large dataset, outlier removal, data reduction.</td>\n",
+    "<td>Euclidean distance between points</td>\n",
+    "</tr>\n",
+    "</tbody>\n",
+    "</table>\n",
+    "Source: http://scikit-learn.org/stable/modules/clustering.html"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-vRkKRGGymYT"
+   },
+   "source": [
+    "<div class=\"span5 alert alert-info\">\n",
+    "<h3>Exercise Set VI</h3>\n",
+    "\n",
+    "<p><b>Exercise:</b> Try clustering using the following algorithms. </p>\n",
+    "<ol>\n",
+    "<li>Affinity propagation\n",
+    "<li>Spectral clustering\n",
+    "<li>Agglomerative clustering\n",
+    "<li>DBSCAN\n",
+    "</ol>\n",
+    "<p>How do their results compare? Which performs the best? Tell a story why you think it performs the best.</p>\n",
+    "</div>\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Estimated number of clusters: 14\n",
+      "Silhouette Coefficient: 0.186\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Your turn\n",
+    "\n",
+    "#Affinity propagation\n",
+    "\n",
+    "from sklearn.cluster import AffinityPropagation\n",
+    "from sklearn import metrics\n",
+    "\n",
+    "af = AffinityPropagation(random_state=3).fit(X)\n",
+    "cluster_centers_indices = af.cluster_centers_indices_\n",
+    "labels = af.labels_\n",
+    "\n",
+    "n_clusters_ = len(cluster_centers_indices)\n",
+    "\n",
+    "print(\"Estimated number of clusters: %d\" % n_clusters_)\n",
+    "print(\"Silhouette Coefficient: %0.3f\"\n",
+    "      % metrics.silhouette_score(X, labels, metric='sqeuclidean'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Silhouette Coefficient: 0.120\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Spectral clustering\n",
+    "from sklearn.cluster import SpectralClustering\n",
+    "clustering2 = SpectralClustering(assign_labels='discretize',random_state=3).fit(X)\n",
+    "labels2 = clustering2.labels_\n",
+    "\n",
+    "print(\"Silhouette Coefficient: %0.3f\"\n",
+    "      % metrics.silhouette_score(X, labels2, metric='sqeuclidean'))\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Silhouette Coefficient: 0.123\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Agglomerative clustering\n",
+    "from sklearn.cluster import AgglomerativeClustering\n",
+    "from scipy.cluster import hierarchy\n",
+    "import numpy as np\n",
+    "clustering3 = AgglomerativeClustering().fit(X)\n",
+    "labels3 = clustering3.labels_\n",
+    "\n",
+    "print(\"Silhouette Coefficient: %0.3f\"\n",
+    "      % metrics.silhouette_score(X, clustering3.labels_, metric='sqeuclidean'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Estimated number of clusters: 0\n",
+      "Estimated number of noise points: 100\n"
+     ]
+    }
+   ],
+   "source": [
+    "#4 DBSCAN\n",
+    "from sklearn.cluster import DBSCAN\n",
+    "db = DBSCAN(eps=0.3, min_samples=10).fit(X)\n",
+    "labels4 = db.labels_\n",
+    "\n",
+    "# Number of clusters in labels, ignoring noise if present.\n",
+    "n_clusters4 = len(set(labels4)) - (1 if -1 in labels4 else 0)\n",
+    "n_noise_ = list(labels4).count(-1)\n",
+    "\n",
+    "print(\"Estimated number of clusters: %d\" % n_clusters4)\n",
+    "print(\"Estimated number of noise points: %d\" % n_noise_)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The affinitty propagation algorithm presents a fairly large number of clusters or features. We don't get a ton of information from the Spectral clustering algorithm because the fit model requires a predetermined number of clusters. It looks like the DBSCAN algorithm estimates that all of the cluster points are noise. This algorithm would not be a good fit for this data. From the information presented. The Agglomerative clustering algorithm presents the best results because it has the highest silhouette coefficient."
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "colab": {
+   "name": "Clustering Case Study - Customer Segmentation with K-Means - Tier 3.ipynb",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Cosine_Similarity_Case_Study.ipynb b/Cosine_Similarity_Case_Study.ipynb
new file mode 100644
index 00000000..5e418d40
--- /dev/null
+++ b/Cosine_Similarity_Case_Study.ipynb
@@ -0,0 +1,824 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "eNSkSfKvSXEE"
+   },
+   "source": [
+    "## Cosine Similarity Calculations\n",
+    "Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space that measures the cosine of the angle between them. Similarity measures have a multiude of uses in machine learning projects; they come in handy when matching strings, measuring distance, and extracting features. This similarity measurement is particularly concerned with orientation, rather than magnitude. \n",
+    "In this case study, you'll use the cosine similarity to compare both a numeric data within a plane and a text dataset for string matching."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "USGZdZYoVu7A"
+   },
+   "source": [
+    "Load the Python modules, including cosine_similarity, from sklearn.metrics.pairwise"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "_T-FTjWuSXEF"
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.cm as cm\n",
+    "%matplotlib inline\n",
+    "plt.style.use('ggplot')\n",
+    "from scipy import spatial\n",
+    "from sklearn.metrics.pairwise import cosine_similarity\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "woBv3-cmV1R6"
+   },
+   "source": [
+    "**<font color='teal'> Load the distance dataset into a dataframe. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "irpsaCuGSXEK"
+   },
+   "outputs": [],
+   "source": [
+    "distance_df=pd.read_csv('C:/Users/jwatki8/Downloads/CosineSimilarityCaseStudy/distance_dataset (1).csv')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Unnamed: 0</th>\n",
+       "      <th>X</th>\n",
+       "      <th>Y</th>\n",
+       "      <th>Z</th>\n",
+       "      <th>ClusterID</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>5.135779</td>\n",
+       "      <td>4.167542</td>\n",
+       "      <td>5.787635</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4.280721</td>\n",
+       "      <td>5.770909</td>\n",
+       "      <td>6.091044</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>8.329098</td>\n",
+       "      <td>7.540436</td>\n",
+       "      <td>3.247239</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>5.470224</td>\n",
+       "      <td>5.069249</td>\n",
+       "      <td>5.768313</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2.381797</td>\n",
+       "      <td>2.402374</td>\n",
+       "      <td>3.879101</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Unnamed: 0         X         Y         Z  ClusterID\n",
+       "0           0  5.135779  4.167542  5.787635          4\n",
+       "1           1  4.280721  5.770909  6.091044          4\n",
+       "2           2  8.329098  7.540436  3.247239          2\n",
+       "3           3  5.470224  5.069249  5.768313          4\n",
+       "4           4  2.381797  2.402374  3.879101          1"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "distance_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "WWd4xbk1SXEO"
+   },
+   "source": [
+    "### Cosine Similarity with clusters and numeric matrices\n",
+    "\n",
+    "All points in our dataset can be thought of as feature vectors. We illustrate it here as we display the __Cosine Similarity__ between each feature vector in the YZ plane and the [5, 5] vector we chose as reference. The sklearn.metrics.pairwise module provides an efficient way to compute the __cosine_similarity__ for large arrays from which we can compute the similarity."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "NeRvhNjLWaau"
+   },
+   "source": [
+    " **<font color='teal'> First, create a 2D and a 3D matrix from the dataframe. The 2D matrix should contain the 'Y' and 'Z' columns and the 3D matrix should contain the 'X','Y', and 'Z' columns.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "aWkrVP8dWqZ-"
+   },
+   "outputs": [],
+   "source": [
+    "docs2=distance_df[['Y','Z']].to_numpy()\n",
+    "docs3=distance_df[['X','Y','Z']].to_numpy()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "HlRZpDfzXJR9"
+   },
+   "source": [
+    "Calculate the cosine similarity for those matrices with reference planes of 5,5 and 5,5,5. Then subtract those measures from 1 in new features."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "QmKPcdIjSXEP"
+   },
+   "outputs": [],
+   "source": [
+    "simCosine3D = 1. - cosine_similarity(docs3, [[5,5,5]], 'cosine')\n",
+    "simCosine = 1. - cosine_similarity(docs2, [[5,5]], 'cosine')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "EieVXBAcX0OU"
+   },
+   "source": [
+    "Using the 2D matrix and the reference plane of (5,5) we can use a scatter plot to view the way the similarity is calculated using the Cosine angle."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "Oga4-0A6SXEY"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "figCosine = plt.figure(figsize=[10,8])\n",
+    "\n",
+    "plt.scatter(distance_df.Y, distance_df.Z, c=simCosine[:,0], s=20)\n",
+    "plt.plot([0,5],[0,5], '--', color='dimgray')\n",
+    "plt.plot([0,3],[0,7.2], '--', color='dimgray')\n",
+    "plt.text(0.7,2.6,r'$\\theta$ = 22.4 deg.', rotation=47, size=14)\n",
+    "plt.ylim([0,10])\n",
+    "plt.xlim([0,10])\n",
+    "plt.xlabel('Y', size=14)\n",
+    "plt.ylabel('Z', size=14)\n",
+    "plt.title('Cosine Similarity')\n",
+    "cb = plt.colorbar()\n",
+    "cb.set_label('Similarity with (5,5)', size=14)\n",
+    "\n",
+    "#figCosine.savefig('similarity-cosine.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "h5EERbkYXioh"
+   },
+   "source": [
+    "Now, plot the 3D matrix with the similarity and the reference plane, (5,5,5)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "-f3ZhgoQSXEV"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from mpl_toolkits.mplot3d import Axes3D\n",
+    "figCosine3D = plt.figure(figsize=(10, 8))\n",
+    "ax = figCosine3D.add_subplot(111, projection='3d')\n",
+    "\n",
+    "p = ax.scatter(docs3[:,0], docs3[:,1], docs3[:,2], c=simCosine3D[:,0])\n",
+    "ax.set_xlabel('X')\n",
+    "ax.set_ylabel('Y')\n",
+    "ax.set_zlabel('Z')\n",
+    "cb = figCosine3D.colorbar(p)\n",
+    "cb.set_label('Similarity with (5,5,5)', size=14)\n",
+    "                                   \n",
+    "figCosine3D.tight_layout()\n",
+    "#figCosine3D.savefig('cosine-3D.png', dpi=300, transparent=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "_ysZ1wFMSXEt"
+   },
+   "source": [
+    "----"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "jGJ2vr60SXEu"
+   },
+   "source": [
+    "### Cosine Similarity with text data\n",
+    "This is a quick example of how you can use Cosine Similarity to compare different text values or names for record matching or other natural language proecessing needs. \n",
+    "First, we use count vectorizer to create a vector for each unique word in our Document 0 and Document 1. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "7oSm7linSXEv"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>coffee</th>\n",
+       "      <th>essence</th>\n",
+       "      <th>of</th>\n",
+       "      <th>starbucks</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Document 0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Document 1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            coffee  essence  of  starbucks\n",
+       "Document 0       1        0   0          1\n",
+       "Document 1       1        1   1          0"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "count_vect = CountVectorizer()\n",
+    "Document1 = \"Starbucks Coffee\"\n",
+    "Document2 = \"Essence of Coffee\"\n",
+    "\n",
+    "corpus = [Document1,Document2]\n",
+    "\n",
+    "X_train_counts = count_vect.fit_transform(corpus)\n",
+    "\n",
+    "pd.DataFrame(X_train_counts.toarray(),columns=count_vect.get_feature_names_out(),index=['Document 0','Document 1'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "W99LBHobSXE1"
+   },
+   "source": [
+    "Now, we use a common frequency tool called TF-IDF to convert the vectors to unique measures."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "mA52-mj9SXE1"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>coffee</th>\n",
+       "      <th>essence</th>\n",
+       "      <th>of</th>\n",
+       "      <th>starbucks</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Document 0</th>\n",
+       "      <td>0.579739</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.814802</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Document 1</th>\n",
+       "      <td>0.449436</td>\n",
+       "      <td>0.631667</td>\n",
+       "      <td>0.631667</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              coffee   essence        of  starbucks\n",
+       "Document 0  0.579739  0.000000  0.000000   0.814802\n",
+       "Document 1  0.449436  0.631667  0.631667   0.000000"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+    "vectorizer = TfidfVectorizer()\n",
+    "trsfm=vectorizer.fit_transform(corpus)\n",
+    "pd.DataFrame(trsfm.toarray(),columns=vectorizer.get_feature_names_out(),index=['Document 0','Document 1'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "8T8ZOVnLSXE4"
+   },
+   "source": [
+    "Here, we finally apply the __Cosine Similarity__ measure to calculate how similar Document 0 is compared to any other document in the corpus. Therefore, the first value of 1 is showing that the Document 0 is 100% similar to Document 0 and 0.26055576 is the similarity measure between Document 0 and Document 1."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "ZLbYTQfnSXE4"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[1.        , 0.26055567]])"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cosine_similarity(trsfm[0:1], trsfm)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "uSDf5EgJatlw"
+   },
+   "source": [
+    "Replace the current values for `Document 0` and `Document 1` with your own sentence or paragraph and apply the same steps as we did in the above example."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "S9FESS0IbF9I"
+   },
+   "source": [
+    " **<font color='teal'> Combine the documents into a corpus.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "7aVkjj-xczS-"
+   },
+   "outputs": [],
+   "source": [
+    "count_vect = CountVectorizer()\n",
+    "Document3 = \"Food is my Fun\"\n",
+    "Document4 = \"I Love Food\"\n",
+    "corpus2 = [Document3,Document4]\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Bng2fLV_bR-V"
+   },
+   "source": [
+    " **<font color='teal'> Apply the count vectorizer to the corpus to transform it into vectors.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "FtW2_TcJczuh"
+   },
+   "outputs": [],
+   "source": [
+    "X_train_counts2 = count_vect.fit_transform(corpus2)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "55i9xWTYbc-r"
+   },
+   "source": [
+    " **<font color='teal'> Convert the vector counts to a dataframe with Pandas.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "OaXsheskc0Ql"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>food</th>\n",
+       "      <th>fun</th>\n",
+       "      <th>is</th>\n",
+       "      <th>love</th>\n",
+       "      <th>my</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Document 0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Document 1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            food  fun  is  love  my\n",
+       "Document 0     1    1   1     0   1\n",
+       "Document 1     1    0   0     1   0"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.DataFrame(X_train_counts2.toarray(),columns=count_vect.get_feature_names_out(),index=['Document 0','Document 1'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "dONg4uupcJAK"
+   },
+   "source": [
+    " **<font color='teal'> Apply TF-IDF to convert the vectors to unique frequency measures.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "o2z2p_kMc1mF"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>food</th>\n",
+       "      <th>fun</th>\n",
+       "      <th>is</th>\n",
+       "      <th>love</th>\n",
+       "      <th>my</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Document 0</th>\n",
+       "      <td>0.379978</td>\n",
+       "      <td>0.534046</td>\n",
+       "      <td>0.534046</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.534046</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Document 1</th>\n",
+       "      <td>0.579739</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.814802</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                food       fun        is      love        my\n",
+       "Document 0  0.379978  0.534046  0.534046  0.000000  0.534046\n",
+       "Document 1  0.579739  0.000000  0.000000  0.814802  0.000000"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vectorizer = TfidfVectorizer()\n",
+    "trsfm=vectorizer.fit_transform(corpus2)\n",
+    "pd.DataFrame(trsfm.toarray(),columns=vectorizer.get_feature_names_out(),index=['Document 0','Document 1'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "wd1JHVSxcl1D"
+   },
+   "source": [
+    " **<font color='teal'> Use the cosine similarity function to get measures of similarity for the sentences or paragraphs in your original document.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "sJdk5sX5bcPO"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[1.        , 0.22028815]])"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cosine_similarity(trsfm[0:1], trsfm)"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "colab": {
+   "name": "Cosine Similarity.ipynb",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Dataset Story-Restaurants.ipynb b/Dataset Story-Restaurants.ipynb
new file mode 100644
index 00000000..4a4a0d29
--- /dev/null
+++ b/Dataset Story-Restaurants.ipynb	
@@ -0,0 +1,1469 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9212a79d",
+   "metadata": {},
+   "source": [
+    "## Craft a Story from a Dataset - Jessica Williams"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "250d1b88",
+   "metadata": {},
+   "source": [
+    "Recreational dining is dying! This is both a conversation and a fear that has been frequently brought up in the food and beverage community for a while now. But even though a lot of information seems to point toward this trend, I want to explore a bit further and see if things are really as they seem. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e5e3f237",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import os\n",
+    "import sklearn\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "import spacy\n",
+    "from yellowbrick.text import FreqDistVisualizer\n",
+    "from pathlib import Path\n",
+    "nlp=spacy.load('en_core_web_sm')\n",
+    "from textblob import TextBlob, Word, Blobber\n",
+    "\n",
+    "#from sb_utils import save_file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "34e48ccf",
+   "metadata": {},
+   "source": [
+    "We have a couple of different dataframes that we are going to look at here. The data are as follows:\n",
+    "The top 250 ranked restaurant businesses \n",
+    "The top 100 independent restaurants \n",
+    "The top future 50 restaurants\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "41d93da5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rest_50 = pd.read_csv('Future50.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ad87d7ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 50 entries, 0 to 49\n",
+      "Data columns (total 9 columns):\n",
+      " #   Column       Non-Null Count  Dtype \n",
+      "---  ------       --------------  ----- \n",
+      " 0   Rank         50 non-null     int64 \n",
+      " 1   Restaurant   50 non-null     object\n",
+      " 2   Location     50 non-null     object\n",
+      " 3   Sales        50 non-null     int64 \n",
+      " 4   YOY_Sales    50 non-null     object\n",
+      " 5   Units        50 non-null     int64 \n",
+      " 6   YOY_Units    50 non-null     object\n",
+      " 7   Unit_Volume  50 non-null     int64 \n",
+      " 8   Franchising  50 non-null     object\n",
+      "dtypes: int64(4), object(5)\n",
+      "memory usage: 3.6+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "rest_50.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "dd498cb3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Rank</th>\n",
+       "      <th>Restaurant</th>\n",
+       "      <th>Location</th>\n",
+       "      <th>Sales</th>\n",
+       "      <th>YOY_Sales</th>\n",
+       "      <th>Units</th>\n",
+       "      <th>YOY_Units</th>\n",
+       "      <th>Unit_Volume</th>\n",
+       "      <th>Franchising</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Evergreens</td>\n",
+       "      <td>Seattle, Wash.</td>\n",
+       "      <td>24</td>\n",
+       "      <td>130.5%</td>\n",
+       "      <td>26</td>\n",
+       "      <td>116.7%</td>\n",
+       "      <td>1150</td>\n",
+       "      <td>No</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Clean Juice</td>\n",
+       "      <td>Charlotte, N.C.</td>\n",
+       "      <td>44</td>\n",
+       "      <td>121.9%</td>\n",
+       "      <td>105</td>\n",
+       "      <td>94.4%</td>\n",
+       "      <td>560</td>\n",
+       "      <td>Yes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Slapfish</td>\n",
+       "      <td>Huntington Beach, Calif.</td>\n",
+       "      <td>21</td>\n",
+       "      <td>81.0%</td>\n",
+       "      <td>21</td>\n",
+       "      <td>90.9%</td>\n",
+       "      <td>1370</td>\n",
+       "      <td>Yes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Clean Eatz</td>\n",
+       "      <td>Wilmington, N.C.</td>\n",
+       "      <td>25</td>\n",
+       "      <td>79.7%</td>\n",
+       "      <td>46</td>\n",
+       "      <td>58.6%</td>\n",
+       "      <td>685</td>\n",
+       "      <td>Yes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>Pokeworks</td>\n",
+       "      <td>Irvine, Calif.</td>\n",
+       "      <td>49</td>\n",
+       "      <td>77.1%</td>\n",
+       "      <td>50</td>\n",
+       "      <td>56.3%</td>\n",
+       "      <td>1210</td>\n",
+       "      <td>Yes</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Rank   Restaurant                  Location  Sales YOY_Sales  Units  \\\n",
+       "0     1   Evergreens            Seattle, Wash.     24    130.5%     26   \n",
+       "1     2  Clean Juice           Charlotte, N.C.     44    121.9%    105   \n",
+       "2     3     Slapfish  Huntington Beach, Calif.     21     81.0%     21   \n",
+       "3     4   Clean Eatz          Wilmington, N.C.     25     79.7%     46   \n",
+       "4     5    Pokeworks            Irvine, Calif.     49     77.1%     50   \n",
+       "\n",
+       "  YOY_Units  Unit_Volume Franchising  \n",
+       "0    116.7%         1150          No  \n",
+       "1     94.4%          560         Yes  \n",
+       "2     90.9%         1370         Yes  \n",
+       "3     58.6%          685         Yes  \n",
+       "4     56.3%         1210         Yes  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rest_50.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "57eef2b8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Yes    29\n",
+       "No     21\n",
+       "Name: Franchising, dtype: int64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rest_50['Franchising'].value_counts()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "ebec1b4d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rest_50['YOY_Sales']=rest_50['YOY_Sales'].str.rstrip('%').astype('float')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b7ac19e3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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ACmIZAAAAABTEMgAAAAAoiGUAAAAAUBDLAAAAAKAglgEAAABAQSwDAAAAgIJYBgAAAAAFsQwAAAAACmIZAAAAABTEMgAAAAAoiGUAAAAAUBDLAAAAAKAglgEAAABAQSwDAAAAgIJYBgAAAAAFsQwAAAAACmIZAAAAABTEMgAAAAAoiGUAAAAAUBDLAAAAAKAglgEAAABAQSwDAAAAgIJYBgAAAAAFsQwAAAAACqscy5566qm89957SZJJkybl+OOPzzXXXJNyudxgwwEAAADAmrRKseyWW27J4YcfnpdeeikvvvhiTj/99NTU1OT666/P1Vdf3dAzAgAAAMAasUqx7IYbbsiZZ56Z3XbbLffdd1+23nrrXHfddbnwwgtz1113NfSMAAAAALBGrFIse/PNN9OvX78kyeOPP56vf/3rSZIuXbpkwYIFDTcdAAAAAKxBqxTLNtlkk7zzzjuZP39+Zs6cmd133z1J8uKLL6Z9+/YNOiAAAAAArCnNV+VD+++/f0499dS0adMmX/ziF9O7d+/cd999GTFiRAYOHNjQMwIAAADAGrFKsWzYsGH54he/mDlz5uTwww9Ps2bN8u677+Z73/teTjrppIaeEQAAAADWiFWKZeutt16OPPLIOmuffA0AAAAAa5tVemZZkjz66KM56qijsscee+Qvf/lLrrzyyvz2t79tyNkAAAAAYI1apVj2+OOPZ8iQIdliiy3yt7/9LcuXL8+HH36Y008/PZMmTar3eebNm5ehQ4emd+/e6dOnT0aOHJlly5YlSebMmZNBgwZl5513zn777ZcpU6asyqgAAAAAUG+rFMuuvPLKDBs2LOeff36aNWuWJDn55JNz8sknZ/z48fU6R7lcztChQ7NkyZLcdNNNufTSS/Pwww/nsssuS7lczoknnpj27dvnzjvvzIABAzJkyJDMnTt3VcYFAAAAgHpZpVj20ksvpV+/fius77vvvnnjjTfqdY5XX301M2bMyMiRI7P11ltnl112ydChQ3PPPfdk6tSpmTNnTs4+++x06dIlxx9/fHbeeefceeedqzIuAAAAANTLKsWyL3zhC3nnnXdWWJ81a1Y23HDDep1j0003zbhx49K+ffs66wsXLswzzzyT7bbbLm3btq1d79WrV2bMmLEq4wIAAABAvazSb8M88MADc9555+W8885LqVTKokWL8thjj2XEiBHZb7/96nWODTbYIH369Kl9vXz58kyYMCFf/epXM3/+/Gy22WZ1jt9kk03y9ttvr9Sc5XI5ixcvXqnPAABNh30CAEDT2BOVy+WUSqV6HbtKsewnP/lJ3n777Rx00EFJkoMPPjjlcjl77bVXTj755FU5ZUaNGpU//elPueOOO3L99denZcuWdd5v2bJlqqurV+qcNTU1mTlz5irNAwCs++wTAACazp7ok63ps6xSLGvRokUuvvjiDB06NDNnzszy5cuzzTbbpGvXrqtyuowaNSo33HBDLr300myzzTZp1apV3n///TrHVFdXp3Xr1is956rOtHZ5rNIDAMBaqXv37pUegQb03OP3VnoEAFgrNYU90axZs+p97CrFso917NgxHTt2/P85RUaMGJGJEydm1KhR2WeffZIkHTp0WOGHWLBgwQq3Zn6eUqlU57lnAAD/yD4BAKBp7InqewtmshKxbNttt633iet7+d5VV12VW265JZdcckn23Xff2vWddtop1157bZYuXVp7Ndn06dPTq1ev+o4LAAAAACut3rHs44f5N5TZs2dn9OjRGTx4cHr16pX58+fXvte7d+9svvnmOf300/OjH/0oDz/8cJ599tmMHDmywb4/AAAAAHxSvWPZIYcc0qDf+KGHHspHH32UMWPGZMyYMXXee+mllzJ69Oj8/Oc/zyGHHJKOHTvm6quvzhZbbNGgMwAAAADAP1rlZ5Y99NBDefnll/PRRx/VrlVXV+e5557Lr371q8/9/ODBgzN48ODPfL9jx46ZMGHCqo4HAAAAACttlWLZRRddlHHjxqV9+/Z5991306FDhyxYsCAfffRR9t9//4aeEQAAAADWiPVW5UOTJ0/OGWeckSlTpmSzzTbLzTffnClTpuTLX/5yvvSlLzX0jAAAAACwRqxSLHv33XfTr1+/JEm3bt3y7LPPpl27djn55JNz3333NeiAAAAAALCmrFIs22CDDbJ48eIkyT//8z9n1qxZSZItttgi8+bNa7jpAAAAAGANWqVYtuuuu+aiiy7KvHnzstNOO+U///M/89577+X+++/Pxhtv3NAzAgAAAMAasUqx7Gc/+1neeeed/O53v8s+++yTli1bZvfdd8+FF16YH/zgBw09IwAAAACsEav02zA333zzTJo0KcuWLcvChQtz1FFH5S9/+Uu+/vWvp0ePHg09IwAAAACsESsVy66++urceOONue2229KxY8e88MILGTx4cBYtWpRyuZw//vGPGTNmTFq3br265gUAAACA1abet2HeeuutGTt2bA499NBssskmSZIzzjgjrVu3zuTJk/Poo49m0aJFufbaa1fbsAAAAACwOtU7lt1+++35t3/7twwbNixVVVV57rnn8vrrr+fII49M165d06FDh/zrv/5r7r333tU5LwAAAACsNvWOZbNnz87uu+9e+3rq1KkplUrZc889a9e6du2auXPnNuyEAAAAALCGrNRvwyyVSrX//sc//jEbbrhhtt1229q1RYsWpU2bNg03HQAAAACsQfWOZdtss02eeuqpJMnf/va3PPnkk3WuNEuS3/3ud9lmm20adkIAAAAAWEPq/dswDz/88Pzyl7/MzJkz8/TTT6e6ujo/+MEPkiTz5s3L5MmTM378+Jx77rmrbVgAAAAAWJ3qHcu+9a1vpbq6OhMnTsx6662XSy+9NDvuuGOS5Jprrsltt92WH/7whxkwYMBqGxYAAAAAVqd6x7IkGThwYAYOHLjC+vHHH5+TTjopG220UYMNBgAAAABr2krFss/SoUOHhjgNAAAAAFTUSv02TAAAAABYl4llAAAAAFAQywAAAACgIJYBAAAAQEEsAwAAAICCWAYAAAAABbEMAAAAAApiGQAAAAAUxDIAAAAAKIhlAAAAAFAQywAAAACgIJYBAAAAQEEsAwAAAICCWAYAAAAABbEMAAAAAApiGQAAAAAUxDIAAAAAKIhlAAAAAFAQywAAAACg0ChiWXV1dQ444IA8+eSTtWvnnHNOunXrVudrwoQJFZwSAAAAgHVd80oPsGzZsgwbNiyvvPJKnfXZs2dn2LBhOfjgg2vXqqqq1vR4AAAAADQhFb2ybNasWTn00EPzxhtvrPDe7Nmzs91222XTTTet/WrTpk0FpgQAAACgqahoLPvDH/6QXXfdNbfeemud9YULF2bevHnp1KlTZQYDAAAAoEmq6G2Yhx122Keuz549O6VSKWPHjs1jjz2Wdu3a5eijj65zSyYAAAAANLSKP7Ps07z66qsplUrp3LlzjjjiiEybNi1nnXVWqqqq8o1vfKPe5ymXy1m8ePFqnBQAWJvZJwAANI09UblcTqlUqtexjTKWHXTQQenbt2/atWuXJNl2223z+uuvZ+LEiSsVy2pqajJz5szVNCUAsLazTwAAaDp7opYtW9bruEYZy0qlUm0o+1jnzp0zderUlTpPixYt0rVr1wacrLF6rNIDAMBaqXv37pUegQb03OP3VnoEAFgrNYU90axZs+p9bKOMZZdffnmefvrpXH/99bVrL774Yjp37rxS5ymVSmnbtm0DTwcArCvsEwAAmsaeqL63YCYV/m2Yn6Vv376ZNm1axo8fnzfeeCM333xzJk2alGOOOabSowEAAACwDmuUsWzHHXfM5Zdfnt/+9rc54IAD8utf/zoXX3xxevbsWenRAAAAAFiHNZrbMF966aU6r/v375/+/ftXaBoAAAAAmqJGeWUZAAAAAFSCWAYAAAAABbEMAAAAAApiGQAAAAAUxDIAAAAAKIhlAAAAAFAQywAAAACgIJYBAAAAQEEsAwAAAICCWAYAAAAABbEMAAAAAApiGQAAAAAUxDIAAAAAKIhlAAAAAFAQywAAAACgIJYBAAAAQEEsAwAAAICCWAYAAAAABbEMAAAAAApiGQAAAAAUxDIAAAAAKIhlAAAAAFAQywAAAACgIJYBAAAAQEEsAwAAAICCWAYAAAAABbEMAAAAAApiGQAAAAAUxDIAAAAAKIhlAAAAAFAQywAAAACgIJYBAAAAQEEsAwAAAICCWAYAAAAABbEMAAAAAApiGQAAAAAUxDIAAAAAKDSKWFZdXZ0DDjggTz75ZO3anDlzMmjQoOy8887Zb7/9MmXKlApOCAAAAEBTUPFYtmzZspxyyil55ZVXatfK5XJOPPHEtG/fPnfeeWcGDBiQIUOGZO7cuRWcFAAAAIB1XfNKfvNZs2Zl2LBhKZfLddanTp2aOXPm5JZbbknbtm3TpUuXPPHEE7nzzjtz0kknVWhaAAAAANZ1Fb2y7A9/+EN23XXX3HrrrXXWn3nmmWy33XZp27Zt7VqvXr0yY8aMNTwhAAAAAE1JRa8sO+ywwz51ff78+dlss83qrG2yySZ5++23V+r85XI5ixcvXuX5AIB1m30CAEDT2BOVy+WUSqV6HVvRWPZZlixZkpYtW9ZZa9myZaqrq1fqPDU1NZk5c2ZDjgYArEPsEwAAms6e6JOt6bM0yljWqlWrvP/++3XWqqur07p165U6T4sWLdK1a9cGnKyxeqzSAwDAWql79+6VHoEG9Nzj91Z6BABYKzWFPdGsWbPqfWyjjGUdOnRY4YdYsGDBCrdmfp5SqVTnuWcAAP/IPgEAoGnsiep7C2ZS4Qf8f5addtopL7zwQpYuXVq7Nn369Oy0004VnAoAAACAdV2jjGW9e/fO5ptvntNPPz2vvPJKrr322jz77LMZOHBgpUcDAAAAYB3WKGNZs2bNMnr06MyfPz+HHHJI7r777lx99dXZYostKj0aAAAAAOuwRvPMspdeeqnO644dO2bChAkVmgYAAACApqhRXlkGAAAAAJUglgEAAABAQSwDAAAAgIJYBgAAAAAFsQwAAAAACmIZAAAAABTEMgAAAAAoiGUAAAAAUBDLAAAAAKAglgEAAABAQSwDAAAAgIJYBgAAAAAFsQwAAAAACmIZAAAAABTEMgAAAAAoiGUAAAAAUBDLAAAAAKAglgEAAABAQSwDAAAAgIJYBgAAAAAFsQwAAAAACmIZAAAAABTEMgAAAAAoiGUAAAAAUBDLAAAAAKAglgEAAABAQSwDAAAAgIJYBgAAAAAFsQwAAAAACmIZAAAAABTEMgAAAAAoiGUAAAAAUBDLAAAAAKAglgEAAABAQSwDAAAAgIJYBgAAAAAFsQwAAAAACo06lv3Xf/1XunXrVudr6NChlR4LAAAAgHVU80oP8H+ZNWtW+vbtmxEjRtSutWrVqoITAQAAALAua9SxbPbs2dlmm22y6aabVnoUAAAAAJqARn0b5uzZs9OpU6dKjwEAAABAE9Forywrl8t57bXXMmXKlFxzzTX56KOPsu+++2bo0KFp2bJlvc+xePHi1TwpALC2sk8AAGgae6JyuZxSqVSvYxttLJs7d26WLFmSli1b5rLLLsubb76Zc845J0uXLs2ZZ55Zr3PU1NRk5syZq3lSAGBtZZ8AANB09kT1vfiq0cayLbfcMk8++WQ23HDDlEqldO/ePcuXL89Pf/rTnH766WnWrNnnnqNFixbp2rXrGpi20h6r9AAAsFbq3r17pUegAT33+L2VHgEA1kpNYU80a9aseh/baGNZkrRr167O6y5dumTZsmX54IMPsvHGG3/u50ulUtq2bbuapgMA1nb2CQAATWNPVN9bMJNG/ID/3//+99l1112zZMmS2rWZM2emXbt29QplAAAAALCyGm0s69mzZ1q1apUzzzwzr776ah599NFceOGFOe644yo9GgAAAADrqEZ7G2ZVVVXGjx+f8847L9/+9rez/vrr53vf+55YBgAAAMBq02hjWZJsvfXW+dWvflXpMQAAAABoIhrtbZgAAAAAsKaJZQAAAABQEMsAAAAAoCCWAQAAAEBBLAMAAACAglgGAAAAAAWxDAAAAAAKYhkAAAAAFMQyAAAAACiIZQAAAABQEMsAAAAAoCCWAQAAAEBBLAMAAACAglgGAAAAAAWxDAAAAAAKYhkAAAAAFMQyAAAAACiIZQAAAABQEMsAAAAAoCCWAQAAAEBBLAMAAACAglgGAAAAAAWxDAAAAAAKYhkAAAAAFMQyAAAAACiIZQAAAABQEMsAAAAAoCCWAQAAAEBBLAMAAACAglgGAAAAAAWxDAAAAAAKYhkAAAAAFMQyAAAAACiIZQAAAABQEMsAAAAAoCCWAQAAAEChUceyZcuW5Ywzzsguu+ySPfbYI9ddd12lRwIAAABgHda80gP8Xy688MI8//zzueGGGzJ37tycdtpp2WKLLbLvvvtWejQAAAAA1kGNNpYtXrw4t99+e/7jP/4j22+/fbbffvu88soruemmm8QyAAAAAFaLRnsb5osvvpgPP/wwPXv2rF3r1atXnnnmmSxfvryCkwEAAACwrmq0sWz+/PnZaKON0rJly9q19u3bZ9myZXn//fcrNxgAAAAA66xGexvmkiVL6oSyJLWvq6urP/fzNTU1KZfLefbZZ1fLfI3J+O98pdIjAMBaqSnsE5qSbhv2rfQIALBWagp7opqampRKpXod22hjWatWrVaIYh+/bt269ed+/uM/gPr+QazNOm6yYaVHAACouKo27So9AgDQSJVKpbU/lnXo0CF//etf8+GHH6Z58/8dc/78+WndunU22GCDz/38Pz7rDAAAAADqo9E+s6x79+5p3rx5ZsyYUbs2ffr09OjRI+ut12jHBgAAAGAt1mirU5s2bXLQQQdl+PDhefbZZ/Pggw/muuuuy1FHHVXp0QAAAABYR5XK5XK50kN8liVLlmT48OF54IEHUlVVlWOPPTaDBg2q9FgAAAAArKMadSwDAAAAgDWp0d6GCQAAAABrmlgGAAAAAAWxDAAAAAAKYhkAAAAAFMQygP9P3bp1y7Bhw1ZYv+uuu9KvX78KTAQAsPqdcsop2XPPPbNkyZIV3jv66KPzve99L36fHLA2EssAGsA999yTJ554otJjAACsMaeddlr+/ve/Z+zYsXXWH3jggUybNi1nn312SqVShaYDWHViGUAD2HLLLXP22Wenurq60qMAAKwRHTp0yEknnZRf/epXmTNnTpJk6dKlOf/883P00Udnm222qfCEAKtGLANoAD/5yU8yb968jB8//jOPefvtt/PjH/84vXv3zq677ppzzjlHXAMA1mpHHnlkOnbsmFGjRiVJxo0bl/XWWy8nnnhi3nrrrZxwwgnZaaed0q9fv1x11VX56KOPkiQ1NTU588wzs+uuu6Znz5454YQTMm/evEr+KAC1xDKABtChQ4cMHTo0Y8eOrf0/q/+ouro6P/jBD7JkyZL8+te/zmWXXZZHHnkkF154YQWmBQBoGM2bN88vfvGLPPDAA3nwwQczfvz4/PKXv0yrVq0yZMiQbLLJJvnNb36TkSNHZvLkybW3bN50002ZNm1arrvuutxxxx1ZtGhRzjvvvAr/NAD/SywDaCAf/5/Vc889d4X3fv/732fevHkZNWpUunXrlt122y2/+MUvMnHixCxatKgC0wIANIyvfOUrOfDAA/PjH/84ffv2TZ8+fTJ16tTMnTs3I0aMSOfOnbPrrrvmtNNOy4033pgkefPNN9OqVatsueWW6dKlS84///wMHjy4wj8JwP9qXukBANYVzZo1y/Dhw3PYYYflwQcfrPPe7Nmz06lTp2y44Ya1a1/+8pfz4Ycf5o033kj37t3X9LgAAA3mhBNOyN13350TTzwxyf/ufd5///306tWr9pjly5dn6dKl+etf/5rvfve7uffee7PHHnukd+/e6d+/fw455JBKjQ9Qh1gG0IC+/OUv59vf/nbOPffcHHfccbXrrVq1WuHYj5/Z8fE/AQDWVh/vdT7+54cffpjOnTtn9OjRKxz7hS98IRtttFH++7//O4888kgeeeSRXHLJJbnnnnty0003+Q2aQMW5DROggZ166qlZvHhxnYf9b7XVVnn99dfz/vvv167NmDEjzZs3zz//8z9XYEoAgNVnq622yty5c7PxxhunY8eO6dixY958881cccUVKZVKmTRpUh5++OF885vfzAUXXJBx48Zl+vTpeffddys9OoBYBtDQNtpoo5x66qn5y1/+Uru2++6750tf+lJ+9rOf5aWXXsrUqVMzYsSIHHDAAdlggw0qOC0AQMPbY489suWWW+anP/1pXnrppfzxj3/MWWedlTZt2qRZs2b5+9//nnPPPTdPPPFE5syZk8mTJ+eLX/xiNtpoo0qPDuA2TIDVYeDAgbnzzjvzzjvvJPnf55mNHj06I0aMyKGHHpr1118/Bx54YE455ZQKTwoA0PCaNWuWMWPG1O592rZtm3333TennXZakuTwww/P22+/nZ/+9Kf54IMPssMOO2TMmDFp1qxZhScHSErlcrlc6SEAAAAAoDFwGyYAAAAAFMQyAAAAACiIZQAAAABQEMsAAAAAoCCWAQAAAEBBLAMAAACAglgGAAAAAAWxDACggRx55JHp1q3bp35dcMEFFZurW7duueuuuz7z/SuvvDL9+vWr17nuuuuudOvWraFGAwBodJpXegAAgHXJN7/5zfz85z9fYb1NmzYVmKZ+jjnmmBx++OH1Ona//fZLnz59VvNEAACVI5YBADSg1q1bZ9NNN630GCtl/fXXz/rrr1+vY1u3bp3WrVuv5okAACrHbZgAAGvIkUcembPOOivf+c53sssuu+Tuu+9OdXV1LrjggvTr1y877LBDevfunR//+Md57733kiRvvvlmunXrlvvvvz/f+c53ssMOO6Rfv3659dZb65z77rvvzre+9a3suOOO2XvvvXPDDTfUef+1117LoEGD0qNHj/Tp0yfXXHNN7XufvA1z0qRJ2X///WuPPffcc1NdXZ1kxdswu3XrljvuuCODBg3KjjvumD322CNXXXVVne89efLkfPOb30yPHj3yne98JzfeeKNbOQGARkssAwBYg26//fYcddRRufnmm9OnT59ceOGFeeCBB3L++efn/vvvz/nnn5+pU6dmzJgxdT43cuTInHDCCfnd736XvfbaK8OHD8+cOXOSJPfdd19OO+20DBgwIHfffXdOOeWUXHTRRXWeUzZhwoQcdNBBue+++/L9738/l1xySZ544okV5nvxxRdz5pln5qSTTsr999+f8847L7/97W8zbty4z/yZLrjgghx88MG59957c8QRR+TKK6/MtGnTkiQPP/xwTjvttAwcODB33313DjnkkFx00UUN8UcJALBauA0TAKABTZ48Offff3+dtV69etXGpu7du+fAAw+sfa9Hjx7Zd999s8suuyRJttxyy3zta1/Lyy+/XOccgwYNyt57750kOfnkk3PTTTflmWeeyZe+9KXccMMN2W+//XLssccmSTp16pRFixbVuV3ysMMOy0EHHZQk+dGPfpTrrrsuzz//fHbbbbc63+fNN99MqVTKlltumS222CJbbLFFxo8fn6qqqs/8mQ866KAMGDAgSXLCCSdk/Pjxeeqpp/KVr3wl48ePz7777ls721ZbbZXXX389119/fb3+PAEA1jSxDACgAfXr1y+nnnpqnbV/jFYdO3as896AAQPyP//zP7nooovy+uuv59VXX81rr71WG88+1qVLl9p//8IXvpAkqampSZK8/PLL2X///escf+ihh9Z53alTpzqvN9hggyxbtmyF+fv06ZOePXtm4MCB+ad/+qfsvvvu2XvvvbPDDjt85s/8j7N9PN/Hs73wwgv5l3/5lzrvf+UrXxHLAIBGSywDAGhA66+//gpB7B998uH4v/jFL3L//ffnoIMOSr9+/XLiiSdm/PjxmTdvXp3jWrZsucK5yuVykqR588/f0jVr1uwzP/+PWrVqlRtvvDF/+tOfMmXKlEyZMiUnnHBCDjrooIwcOfJTz/15sy1fvvxz5wMAaCzEMgCACvnrX/+aW2+9NZdeemn222+/2vVXX301bdu2rfd5unTpkueee67O2siRI/PWW2/liiuuWKmZHn300Tz33HMZMmRItttuuwwePDhjxozJ2LFjPzOW/V+23XbbPPPMM3XWnn766ZU+DwDAmiKWAQBUSFVVVb7whS/koYceyvbbb5+lS5dmwoQJeeGFF7LTTjvV+zyDBw/OSSedlB133DF77rlnnnnmmUycODFnn332Ss/UokWLXH311amqqsree++dDz74II888kh69uy50udKkh/+8Ic5/vjjs+OOO6Zv376ZPn16JkyYsErnAgBYE/w2TACACmnRokUuv/zyvPzyyznwwANz3HHHZcmSJTnllFMya9asLFmypF7n6devX84+++zcdNNN2W+//XLVVVfl9NNPr32g/8r42te+lnPPPTd33HFHDjjggBx77LHp2LFjLrnkkpU+V5J8/etfr53tgAMOyO23357vf//7adGixSqdDwBgdSuVP+1hFQAA0AD+8Ic/pH379uncuXPt2tixY3PHHXfkwQcfrOBkAACfzpVlAACsNlOmTMmxxx6bqVOnZu7cuXnooYdyww03ZMCAAZUeDQDgU7myDACA1aa6ujoXXnhhHnjggbz33nvZfPPNM3DgwBx33HGf+hs6AQAqTSwDAAAAgILbMAEAAACgIJYBAAAAQEEsAwAAAICCWAYAAAAABbEMAAAAAApiGQAAAAAUxDIAAAAAKIhlAAAAAFAQywAAAACg8P8Ax/rFUmRKhZkAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(15, 5))\n",
+    "sns.barplot(x='Franchising', y='Sales',data=rest_50,ax=ax)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "e8a7158e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(15, 5))\n",
+    "sns.barplot(x='Franchising', y='YOY_Sales',data=rest_50,ax=ax)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "964fb786",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rest_100 = pd.read_csv('Independence100.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "426148aa",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Rank</th>\n",
+       "      <th>Restaurant</th>\n",
+       "      <th>Sales</th>\n",
+       "      <th>Average Check</th>\n",
+       "      <th>City</th>\n",
+       "      <th>State</th>\n",
+       "      <th>Meals Served</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>Carmine's (Times Square)</td>\n",
+       "      <td>39080335.0</td>\n",
+       "      <td>40</td>\n",
+       "      <td>New York</td>\n",
+       "      <td>N.Y.</td>\n",
+       "      <td>469803.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>The Boathouse Orlando</td>\n",
+       "      <td>35218364.0</td>\n",
+       "      <td>43</td>\n",
+       "      <td>Orlando</td>\n",
+       "      <td>Fla.</td>\n",
+       "      <td>820819.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Old Ebbitt Grill</td>\n",
+       "      <td>29104017.0</td>\n",
+       "      <td>33</td>\n",
+       "      <td>Washington</td>\n",
+       "      <td>D.C.</td>\n",
+       "      <td>892830.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>LAVO Italian Restaurant &amp; Nightclub</td>\n",
+       "      <td>26916180.0</td>\n",
+       "      <td>90</td>\n",
+       "      <td>New York</td>\n",
+       "      <td>N.Y.</td>\n",
+       "      <td>198500.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>Bryant Park Grill &amp; Cafe</td>\n",
+       "      <td>26900000.0</td>\n",
+       "      <td>62</td>\n",
+       "      <td>New York</td>\n",
+       "      <td>N.Y.</td>\n",
+       "      <td>403000.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Rank                           Restaurant       Sales  Average Check  \\\n",
+       "0     1             Carmine's (Times Square)  39080335.0             40   \n",
+       "1     2                The Boathouse Orlando  35218364.0             43   \n",
+       "2     3                     Old Ebbitt Grill  29104017.0             33   \n",
+       "3     4  LAVO Italian Restaurant & Nightclub  26916180.0             90   \n",
+       "4     5             Bryant Park Grill & Cafe  26900000.0             62   \n",
+       "\n",
+       "         City State  Meals Served  \n",
+       "0    New York  N.Y.      469803.0  \n",
+       "1    Orlando   Fla.      820819.0  \n",
+       "2  Washington  D.C.      892830.0  \n",
+       "3    New York  N.Y.      198500.0  \n",
+       "4    New York  N.Y.      403000.0  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rest_100.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "a0ddd5d9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 100 entries, 0 to 99\n",
+      "Data columns (total 7 columns):\n",
+      " #   Column         Non-Null Count  Dtype  \n",
+      "---  ------         --------------  -----  \n",
+      " 0   Rank           100 non-null    int64  \n",
+      " 1   Restaurant     100 non-null    object \n",
+      " 2   Sales          100 non-null    float64\n",
+      " 3   Average Check  100 non-null    int64  \n",
+      " 4   City           100 non-null    object \n",
+      " 5   State          100 non-null    object \n",
+      " 6   Meals Served   100 non-null    float64\n",
+      "dtypes: float64(2), int64(2), object(3)\n",
+      "memory usage: 5.6+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "rest_100.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "42758171",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rest_250 = pd.read_csv('Top250.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "3817d468",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 250 entries, 0 to 249\n",
+      "Data columns (total 9 columns):\n",
+      " #   Column            Non-Null Count  Dtype \n",
+      "---  ------            --------------  ----- \n",
+      " 0   Rank              250 non-null    int64 \n",
+      " 1   Restaurant        250 non-null    object\n",
+      " 2   Content           33 non-null     object\n",
+      " 3   Sales             250 non-null    int64 \n",
+      " 4   YOY_Sales         250 non-null    object\n",
+      " 5   Units             250 non-null    int64 \n",
+      " 6   YOY_Units         250 non-null    object\n",
+      " 7   Headquarters      52 non-null     object\n",
+      " 8   Segment_Category  250 non-null    object\n",
+      "dtypes: int64(3), object(6)\n",
+      "memory usage: 17.7+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "rest_250.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "d3ac80b0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Rank</th>\n",
+       "      <th>Restaurant</th>\n",
+       "      <th>Content</th>\n",
+       "      <th>Sales</th>\n",
+       "      <th>YOY_Sales</th>\n",
+       "      <th>Units</th>\n",
+       "      <th>YOY_Units</th>\n",
+       "      <th>Headquarters</th>\n",
+       "      <th>Segment_Category</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>McDonald's</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>40412</td>\n",
+       "      <td>4.9%</td>\n",
+       "      <td>13846</td>\n",
+       "      <td>-0.5%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Burger</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Starbucks</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>21380</td>\n",
+       "      <td>8.6%</td>\n",
+       "      <td>15049</td>\n",
+       "      <td>3.0%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Coffee Cafe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Chick-fil-A</td>\n",
+       "      <td>While Popeyes got a lot of the chicken buzz in...</td>\n",
+       "      <td>11320</td>\n",
+       "      <td>13.0%</td>\n",
+       "      <td>2470</td>\n",
+       "      <td>5.0%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Chicken</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Taco Bell</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>11293</td>\n",
+       "      <td>9.0%</td>\n",
+       "      <td>6766</td>\n",
+       "      <td>2.7%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Mexican</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>Burger King</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10204</td>\n",
+       "      <td>2.7%</td>\n",
+       "      <td>7346</td>\n",
+       "      <td>0.2%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Burger</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Rank   Restaurant                                            Content  \\\n",
+       "0     1   McDonald's                                                NaN   \n",
+       "1     2    Starbucks                                                NaN   \n",
+       "2     3  Chick-fil-A  While Popeyes got a lot of the chicken buzz in...   \n",
+       "3     4    Taco Bell                                                NaN   \n",
+       "4     5  Burger King                                                NaN   \n",
+       "\n",
+       "   Sales YOY_Sales  Units YOY_Units Headquarters             Segment_Category  \n",
+       "0  40412      4.9%  13846     -0.5%          NaN       Quick Service & Burger  \n",
+       "1  21380      8.6%  15049      3.0%          NaN  Quick Service & Coffee Cafe  \n",
+       "2  11320     13.0%   2470      5.0%          NaN      Quick Service & Chicken  \n",
+       "3  11293      9.0%   6766      2.7%          NaN      Quick Service & Mexican  \n",
+       "4  10204      2.7%   7346      0.2%          NaN       Quick Service & Burger  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rest_250.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "cdf18d28",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Quick Service & Burger', 'Quick Service & Coffee Cafe',\n",
+       "       'Quick Service & Chicken', 'Quick Service & Mexican',\n",
+       "       'Quick Service & Sandwich', 'Quick Service & Pizza',\n",
+       "       'Fast Casual & Bakery Cafe', 'Fast Casual & Mexican',\n",
+       "       'Casual Dining & Italian/Pizza', 'Casual Dining & Varied Menu',\n",
+       "       'Fast Casual & Asian/Noodle', 'Quick Service & Frozen Desserts',\n",
+       "       'Casual Dining & Sports Bar', 'Family Dining & Family Style',\n",
+       "       'Casual Dining & Steak', 'Casual Dining & Seafood',\n",
+       "       'Fast Casual & Sandwich', 'Fast Casual & Chicken',\n",
+       "       'Quick Service & Family Casual', 'Fast Casual & Burger',\n",
+       "       'Casual Dining & Asian', 'Quick Service & Snack', 'Steak',\n",
+       "       'Quick Service & Beverage', 'Sports Bar',\n",
+       "       'Quick Service & Seafood', 'Quick Service & Bakery Cafe',\n",
+       "       'Fast Casual & Pizza', 'Fine Dining & Steak', 'Mexican',\n",
+       "       'Varied Menu', 'Chicken', 'Italian/Pizza', 'Pizza', 'Seafood',\n",
+       "       'Frozen Desserts', 'Coffee Cafe', 'BBQ', 'Sandwich', 'Bakery Cafe',\n",
+       "       'Burger', 'Asian', 'Family Style', 'Asian/Noodle', 'Family Casual',\n",
+       "       'Snack', 'Healthy', 'Ethnic'], dtype=object)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rest_250['Segment_Category'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "38da00bd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "values = ['Quick Service', 'Fast Casual','Casual Dining','Fine Dining']\n",
+    "conditions = list(map(rest_250['Segment_Category'].str.contains, values))\n",
+    "\n",
+    "rest_250['Category'] = np.select(conditions, values, 'other')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "0011c4ba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Rank</th>\n",
+       "      <th>Restaurant</th>\n",
+       "      <th>Content</th>\n",
+       "      <th>Sales</th>\n",
+       "      <th>YOY_Sales</th>\n",
+       "      <th>Units</th>\n",
+       "      <th>YOY_Units</th>\n",
+       "      <th>Headquarters</th>\n",
+       "      <th>Segment_Category</th>\n",
+       "      <th>Category</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>McDonald's</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>40412</td>\n",
+       "      <td>4.9%</td>\n",
+       "      <td>13846</td>\n",
+       "      <td>-0.5%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Burger</td>\n",
+       "      <td>Quick Service</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Starbucks</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>21380</td>\n",
+       "      <td>8.6%</td>\n",
+       "      <td>15049</td>\n",
+       "      <td>3.0%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Coffee Cafe</td>\n",
+       "      <td>Quick Service</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Chick-fil-A</td>\n",
+       "      <td>While Popeyes got a lot of the chicken buzz in...</td>\n",
+       "      <td>11320</td>\n",
+       "      <td>13.0%</td>\n",
+       "      <td>2470</td>\n",
+       "      <td>5.0%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Chicken</td>\n",
+       "      <td>Quick Service</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Taco Bell</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>11293</td>\n",
+       "      <td>9.0%</td>\n",
+       "      <td>6766</td>\n",
+       "      <td>2.7%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Mexican</td>\n",
+       "      <td>Quick Service</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>Burger King</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10204</td>\n",
+       "      <td>2.7%</td>\n",
+       "      <td>7346</td>\n",
+       "      <td>0.2%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Burger</td>\n",
+       "      <td>Quick Service</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Rank   Restaurant                                            Content  \\\n",
+       "0     1   McDonald's                                                NaN   \n",
+       "1     2    Starbucks                                                NaN   \n",
+       "2     3  Chick-fil-A  While Popeyes got a lot of the chicken buzz in...   \n",
+       "3     4    Taco Bell                                                NaN   \n",
+       "4     5  Burger King                                                NaN   \n",
+       "\n",
+       "   Sales YOY_Sales  Units YOY_Units Headquarters             Segment_Category  \\\n",
+       "0  40412      4.9%  13846     -0.5%          NaN       Quick Service & Burger   \n",
+       "1  21380      8.6%  15049      3.0%          NaN  Quick Service & Coffee Cafe   \n",
+       "2  11320     13.0%   2470      5.0%          NaN      Quick Service & Chicken   \n",
+       "3  11293      9.0%   6766      2.7%          NaN      Quick Service & Mexican   \n",
+       "4  10204      2.7%   7346      0.2%          NaN       Quick Service & Burger   \n",
+       "\n",
+       "        Category  \n",
+       "0  Quick Service  \n",
+       "1  Quick Service  \n",
+       "2  Quick Service  \n",
+       "3  Quick Service  \n",
+       "4  Quick Service  "
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rest_250.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "95273858",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Quick Service', 'Fast Casual', 'Casual Dining', 'other',\n",
+       "       'Fine Dining'], dtype=object)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rest_250['Category'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "9f9ece13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "values2 = ['Chicken', 'Pizza','Casual Dining','Seafood','Frozen Desserts','Coffee','BBQ','Sandwich','Bakery','Burger','Asian']\n",
+    "conditions2 = list(map(rest_250['Segment_Category'].str.contains, values2))\n",
+    "\n",
+    "rest_250['Cuisine'] = np.select(conditions2, values2, 'other')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "4e4a8635",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Rank</th>\n",
+       "      <th>Restaurant</th>\n",
+       "      <th>Content</th>\n",
+       "      <th>Sales</th>\n",
+       "      <th>YOY_Sales</th>\n",
+       "      <th>Units</th>\n",
+       "      <th>YOY_Units</th>\n",
+       "      <th>Headquarters</th>\n",
+       "      <th>Segment_Category</th>\n",
+       "      <th>Category</th>\n",
+       "      <th>Cuisine</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>McDonald's</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>40412</td>\n",
+       "      <td>4.9%</td>\n",
+       "      <td>13846</td>\n",
+       "      <td>-0.5%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Burger</td>\n",
+       "      <td>Quick Service</td>\n",
+       "      <td>Burger</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>Starbucks</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>21380</td>\n",
+       "      <td>8.6%</td>\n",
+       "      <td>15049</td>\n",
+       "      <td>3.0%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Coffee Cafe</td>\n",
+       "      <td>Quick Service</td>\n",
+       "      <td>Coffee</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>Chick-fil-A</td>\n",
+       "      <td>While Popeyes got a lot of the chicken buzz in...</td>\n",
+       "      <td>11320</td>\n",
+       "      <td>13.0%</td>\n",
+       "      <td>2470</td>\n",
+       "      <td>5.0%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Chicken</td>\n",
+       "      <td>Quick Service</td>\n",
+       "      <td>Chicken</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>Taco Bell</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>11293</td>\n",
+       "      <td>9.0%</td>\n",
+       "      <td>6766</td>\n",
+       "      <td>2.7%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Mexican</td>\n",
+       "      <td>Quick Service</td>\n",
+       "      <td>other</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>Burger King</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10204</td>\n",
+       "      <td>2.7%</td>\n",
+       "      <td>7346</td>\n",
+       "      <td>0.2%</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Quick Service &amp; Burger</td>\n",
+       "      <td>Quick Service</td>\n",
+       "      <td>Burger</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Rank   Restaurant                                            Content  \\\n",
+       "0     1   McDonald's                                                NaN   \n",
+       "1     2    Starbucks                                                NaN   \n",
+       "2     3  Chick-fil-A  While Popeyes got a lot of the chicken buzz in...   \n",
+       "3     4    Taco Bell                                                NaN   \n",
+       "4     5  Burger King                                                NaN   \n",
+       "\n",
+       "   Sales YOY_Sales  Units YOY_Units Headquarters             Segment_Category  \\\n",
+       "0  40412      4.9%  13846     -0.5%          NaN       Quick Service & Burger   \n",
+       "1  21380      8.6%  15049      3.0%          NaN  Quick Service & Coffee Cafe   \n",
+       "2  11320     13.0%   2470      5.0%          NaN      Quick Service & Chicken   \n",
+       "3  11293      9.0%   6766      2.7%          NaN      Quick Service & Mexican   \n",
+       "4  10204      2.7%   7346      0.2%          NaN       Quick Service & Burger   \n",
+       "\n",
+       "        Category  Cuisine  \n",
+       "0  Quick Service   Burger  \n",
+       "1  Quick Service   Coffee  \n",
+       "2  Quick Service  Chicken  \n",
+       "3  Quick Service    other  \n",
+       "4  Quick Service   Burger  "
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rest_250.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "6cd0675c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "250"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rest_250['Content'].isna().value_counts().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "764477ed",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "250"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rest_250['Headquarters'].isna().value_counts().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "1bff2e63",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rest_250=rest_250.drop(['Content','Headquarters'], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "b32c5058",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['Rank', 'Restaurant', 'Sales', 'YOY_Sales', 'Units', 'YOY_Units',\n",
+      "       'Segment_Category', 'Category', 'Cuisine'],\n",
+      "      dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(rest_250.columns)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "a318d293",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot: xlabel='Rank', ylabel='Sales'>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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SRURERP61BQsW8OabbzJx4kQuXrxIQEAAjz/+OE8//XShHP/333/np59+4vHHH8+3vnFZVOLLrl2Lm5sbCxcuZMKECaxdu5aQkJB8S4+EhYXxyiuvMHv2bC5cuECrVq2YNGmSff/IyEiSk5MZMmQIJpOJnj170r9/f3v71KlTGTduHL169cLX15fJkyeX6V8DiIiISNkTFBTEW2+9VWTHnz17dpEd+1ZzywTiK49svqJRo0Z88skn1+3fo0cP+5SJvzKZTERFReV7et3/8vHxYcGCBTc/WBEREREpM/TsXxEREREp1xSIRURERKRcUyAWERERkXJNgVhEREREyjUFYhEREREp1xSIRURERIpAcnIyr776Ku3btyc0NJSuXbuyePHifA8m+ydz5syhb9++hdbvip9//plHHnmE0NBQmjZtypNPPsm+ffsKvP+NOHXqFCEhIZw5c6ZIjl8YFIhFRESkzIs9n8qIz35nwOqfGfHZ78SeTy3S88XHx/PQQw9x/Phxpk2bxoYNGxg8eDArV65k0KBBWK3WAh1nwIABzJkzp1DHtm/fPp599lnuvfde/u///o9Vq1YREBBAv379OHXqVKGeC6By5cps2bIFf3//Qj92Ybll1iEWERERKWy5eVYGrvuVjQfPkJCaad/+wR/H6VwvgEUPtcTBVPj3BydPnkyVKlVYtGgRJpMJuPwgjcaNG9O1a1dWrVrFo48++o/HufIk38K0fv16WrVqle/8L7/8Mtu2beOLL75g4MCBhXo+k8mEr68v6enphXrcwqQ7xCIiIlJmDVz3K8u3H8sXhgESUjNZvv0YA9dtLfRznj9/nm+//ZannnrKHoavCAgI4MEHH2Tt2rUAbNu2jZCQkHx9xowZw5gxY4Crp0L8+OOPPPDAA4SGhnLffffx66+/XnX+rKwsevfuzYABA8jOzr6q3Wg0cujQIZKTk+3bDAYDS5YsoVevXvZt33zzDV26dCE0NJSePXvy22+/2dv69u3LpEmTuPPOO2nXrh1Dhw7lP//5T77zjBgxgnHjxl01ZeLcuXMMHz6cJk2a0KpVK958801sNhsAZ8+e5ZlnniE0NJQOHTowd+5c8vLy/ubTLhwKxCIiIlImxZ5PZePBM9iu024Dvow+XejTJ/bv309ubi6NGjW6ZnuTJk2Ijo6+Zlj9O4cPH2bQoEHcddddfPbZZ3Tr1o1nn32WxMREex+r1coLL7yA1Wpl7ty5mM3mq47Ts2dPzp07R/v27Rk0aBDvv/8+J0+epEqVKnh5eQEQHR3Nf/7zHwYNGsT//d//cd999/HUU09x4sQJ+3E+/vhjpk2bxty5c7n//vvZtGkTOTk5AGRnZ7Np0ya6du161fmff/55EhMTWbFiBTNnzuTjjz9m5cqV2Gw2hgwZgo+PD5988glTpkxh/fr1xfJ0YQViERERKZNm/hh91Z3hv4q/lMmsn6IL9bznz58Hrj/dwdPTM1+/gvrwww9p0qQJzz77LMHBwQwcOJDHH3+cixcv2vtMmjSJEydOsHDhQlxcXK55nJo1a7Ju3Truvvtutm/fzquvvspdd93Fc889R0ZGBgCLFy+mV69e3HvvvVSrVo1+/fpxxx13sGrVKvtx2rVrR5MmTWjQoAF33HEHVquVbdu2AbBlyxacnZ2JiIjId+6TJ0+yZ88eXn/9dW677TaaNWvGxIkT8fDwYOvWrZw5c4ZJkyZRo0YNIiIi+M9//sPy5ctv6HO6GZpDLCIiImXS+YysAvU7l35jd2r/yZW7rPHx8QQGBl7VfiXAuru739Bxjx8/Tv369fNtGz58uP31zp072b59O6GhofbQfT21atVi+vTp5ObmsnPnTj7//HPWrl2Lr68v48eP5+jRo2zcuJE1a9bY98nJyaF169b291WqVLG/NpvNdOzYka+//prWrVvz9ddf06lTp6umjJw5cwZPT0+CgoLs2zp27AjAihUrSElJoWnTpvY2q9VKZmYm58+fp0KFCgX4lG6OArGIiIiUSRUsTgXq5+1y9bSCf6N+/fo4ODiwb9++awbinTt3Ur16dVxcXDAYDFe15+bm4uBwdUS71rb/5erqyty5c3n66af58MMPeeihh67Z74033uD++++nbt26ODg40KxZM5o1a4abmxubNm0CIC8vj6eeeoru3bvn29fZ2dn+2skp/+fbpUsXoqKiGD9+PN9//z3z5s276tx/Dcj/Kzc3lxo1ajB//vyr2m70h4cbpSkTIiIiUiYNv6Mufm7Of9vH392Z59rULdTzent707FjRxYsWGBfc/j999/nySef5LfffuOTTz6xh1VHR0cAUlP/O4/5ekufVatWjejo/NM7HnnkET7//HMA6tSpQ7NmzRg0aBAzZswgJSXlmsfZsmULH3300VXbPTw88Pb2BqB69eqcOnWKatWq2f+sWbOGH3/88brXffvtt5OXl8fSpUtxdnYmPDz8qj6VK1fmwoULnD171r5t+fLlPPvss1SvXp0zZ87g7e1tP+epU6eYPXv2NX9wKEwKxCIiIlImBVVwo3O9AK4XpQzAPXUDCKrgVujnHjduHJcuXeKpp57i999/JyIigvT0dPr27YuXlxf9+vUDoHbt2jg7O7NgwQJiY2N59913OXDgwDWP2bt3b37//XeWLl1qnyd8+PDhq4Ln448/jqenJ2+++eY1j/Pss8+yYsUKpk+fzqFDhzh27Bgffvgh7777Lv379wegf//+fPHFFyxfvpyTJ0/y3nvv8d577xEcHHzda3ZwcODuu+9mwYIF3HPPPdcMsYGBgTRv3pxx48Zx6NAhtm3bxqJFi2jVqhWtW7emSpUqjBo1ikOHDvH777/z4osvYrFY/vbOcmFQIBYREZEya9FDLenXrCb+7vnvFPu7O9OvWQ0WPdSySM7r5+fH2rVrqV69OiNGjLCv7BAZGQnAM888Q0JCAm5ubkyaNInPP/+cbt26ER0dfd31iatWrcqcOXP46KOP6NatG1999RULFiy46oEXZrOZqKgo1q1bx969e686TufOnZk7dy47d+6kT58+dO/enTVr1jB58mTuvPNOABo3bszUqVP54IMP6NKlC2vXrmXGjBk0a9bsb6+7a9eupKenX3N1iSteffVVLBYLDz/8MCNGjODhhx+mT58+mEwm3n77baxWK7169WLo0KG0bduW8ePH/+05C4PBdmXhNymwK3+5GjZsWKTnSU9P5+DBg9SrV++63xSVW5tqWPqphqWfalg2/Ns6xp5PZeaP0ZzPyMbbxczwO+oR6FX4D70oiPT0dNasWcPDDz9crv5OFve/xRvJa/pSnYiIiJR5QRXcmHH/1XNaS4KLiwtPPPFESQ9D/oemTIiIiIhIuaZALCIiIiLlmgKxiIiIiJRrCsQiIiIiUq4pEIuIiIhIuaZALCIiIiLlmgKxiIiIiJRrCsQiIiIihaxDhw6EhIRc9ad3797/+tgHDx7kjz/++Ns+R44c4fnnn+f2228nLCyMRx55hM2bN//rc/9biYmJhIWFcerUqZIeSj56MIeIiIhIERg7dixdunTJt83R0fFfH3fw4MEMGTKEJk2aXLP9jz/+IDIyknvvvZd33nkHV1dXvv76a5599lmmT59O586d//UYyhoFYhERESnzUjNTOHBmC1m5GTg5WLgtoDVuzl5Fek53d3d8fX2L9Bx/ZbPZiIqKokuXLrzyyiv27QMHDuTcuXNMnTqVu+++G5PJVKzjutVpyoSIiIiUWVZbHj/9uZYNu+dy4MwWjibs4MCZLWzYPZef/lyL1ZZXIuNKTU0lKiqKli1b0qBBA+655x6+/fZbe/sXX3xBp06daNiwIV26dLG39e3bl9OnTxMVFcWYMWOuOu4ff/xBTEwMAwYMuKpt4MCBzJkzB6Pxcvz77rvv6N69Ow0bNiQ8PJwXXniBtLQ0AC5evMjQoUMJDw+nWbNmjBw5ktTUVADGjBlz1blDQkLYtm0bAPHx8QwbNoxmzZrRoEEDHnjgAXbs2FEIn1rRUSAWERGRMuvnwx9xNOEPMnNS823PzEnlaMIf/HL44xIZ12uvvcbx48dZsmQJGzZsIDw8nHHjxpGdnU1ycjKjR4/m6aef5ssvv+TBBx/khRdeICUlhTlz5lCpUiXGjh3LuHHjrjpudHQ0rq6u1KxZ86o2b29vGjRogMFg4OTJkzz33HP06dOHjRs3MnPmTH755RfWrl0LwOzZs0lMTGTVqlUsX76c6Oho5s+fX6BrGzlyJHl5eaxevZpPP/0Uf39/Jk6c+K8+r6KmKRMiIiJSJqVmpnD6/J9/2+fU+UOkZqYUyfSJCRMmMGnSpHzbfv75Z1xcXGjWrBlPPPEEderUAWDAgAGsW7eO5ORkzp8/T05ODpUqVaJKlSoMGDCAkJAQnJycsFgsmEwm3N3dcXd3v+qcly5dws3N7R/HZrVaGT9+PL169QIgMDCQ22+/ncOHDwNw+vRpXF1dCQwMxGKxMGvWrAJds81mo2PHjnTq1IlKlSoB8OijjzJw4MAC7V9SFIhFRESkTDpwZstVd4b/KjMnlQNnttC8RrdCP/+wYcO4++67822zWCwAdO/enW+//Za1a9dy7Ngx9u/fD0BeXh716tWjXbt2PPHEE1SvXp0777yThx56yL7v3/Hy8uLSpUv/2C84OBiz2czbb7/N4cOHOXz4MEeOHOH+++8HoF+/fjz77LO0bNmSli1b0qlTJ+69995/PK7BYKB379588cUX/PHHHxw/fpx9+/ZhtVr/cd+SpCkTIiIiUiZl5WYUqF92AfvdKB8fH6pVq5bvj8FgAGD06NG88cYbeHh40Lt3bxYuXGjfz2AwsHDhQtatW0enTp3YtGkTDzzwAAcPHvzHc9avX5/09HSOHj16VVtsbCxPPvkkcXFxREdH07VrV44cOUJ4eDivvfZavhUxWrZsyebNm5kwYQJms5mXXnqJ//znP/bx/a/c3Fz7a6vVyoABA1iyZAkBAQFERkYyderUG/vgSoDuEIuIiEiZ5OTwz3dUAcwF7FdYUlNT2bBhA2vXrqVRo0YA9jWCbTYbR48e5cMPP+Q///kPjRo1Yvjw4XTt2pWffvqJevXq/e2xGzRoQM2aNXnvvfeumq6xcuVKoqOj8fX1ZdmyZTRr1owZM2bY20+cOGGfe/zee+8REhLCAw88wAMPPMDnn39OVFQUcHnpuPPnz9v3i42Ntb8+cuQI27dv59dff8Xb29t+3ivXdqtSIBYREZEy6baA1hxL3PW30yacHd24LaB1MY4KzGYzFouFr7/+Gm9vb44fP25fIi07OxsPDw9WrVqFu7s79957L0eOHOH06dPcdtttALi4uHDs2DFSUlLw8vLKd2yDwcBLL73EU089hdFopHfv3jg4OLB+/XqWL1/OzJkzMZlMeHl5cejQIfbs2YO7uztr1qxh7969BAUFARAXF8eaNWuYMmUKXl5efPXVV/bzN2zYkClTpvDrr7/i4+PDlClT7Osre3h4YDQa+fzzz+nQoQN79+5lzpw59mu7VZXolIkTJ04QGRlJWFgY7dq1491337W3vfrqq1c93WXFihX29g0bNtCxY0dCQ0MZPHgw586ds7fZbDamT59OixYtaN68OVOnTs03d+X8+fMMHTqUsLAwOnTowGeffVY8FywiIiLFxs3ZiyoV6vxtnyoV6hT5esR/ZTabmTZtGl999RVdu3bl9ddfZ9CgQfj6+nLw4EF8fX2ZM2eOvf2VV17hhRdeoHXry8G9d+/erFy5kvHjx1/z+C1atGDZsmWcPn2a/v3706tXL3777TcWLlxon9Pct29fGjduTP/+/enTpw9nzpxh8ODBHDhwAIDnnnuOJk2aMGjQIO6//37S09OZNm0aAPfffz+dOnXi2Wef5cknn6Rbt274+fkBUKlSJSZOnMg777xDt27dWLRoEePHj8fBwYHo6Oii/mhvmsFWQvevrVYrnTt3pmHDhgwZMoQTJ07wwgsvMHHiRO69916eeOIJWrZsyQMPPGDfx83NDYvFwp49e+jbty8vv/wydevW5bXXXsPFxcU+/2bJkiUsX76c6dOnk5uby6hRo+jfvz+RkZEAPPPMM2RmZjJ27Fh2797NK6+8wsqVK+2/tvgne/fuBS7/hFSU0tPTOXjwIPXq1cPFxaVIzyVFQzUs/VTD0k81LBtuto5WWx6/HP6YU+cP5btT7OzoRpUKdWhV+0GMBj2kojgU97/FG8lrJTZlIikpiXr16jFx4kTc3NwIDg6mZcuW7Nixg3vvvZejR48SGRl5zSe8rFixgs6dO9O9e3cApk6dSvv27YmNjSUoKIjly5czbNgwwsPDgcvr4c2aNYvIyEhOnjzJpk2b+O677wgMDKROnTrs2rWLDz74oMCBWEREREoHo8FE6zoP2Z9Ul52bgZODC/UCWhX7nWG5dZXYlAk/Pz9mzpyJm5sbNpuNHTt2sH37dpo3b05qairx8fEEBwdfc9/du3fbwy5A5cqVCQgIYPfu3cTHx3P27FmaNWtmb2/atCmnT58mISGB3bt3U7lyZQIDA/O179y5s8iuVUREREqWm7MXzWt0o3Wdh2hWo6vCsORzS3yprkOHDpw5c4b27dvTqVMn9u3bh8FgYMGCBfz44494eXnxxBNP2KdPJCQk2OeqXOHj40NcXByJiYkA+dorVqwIYG+/1r7x8fE3NGabzUZ6evoNX+uNyMjIyPdfKX1Uw9JPNSz9VMOyQXUs/Yq7hjab7aol4q7nlgjEs2fPJikpiYkTJzJlyhTq16+PwWCgRo0aPPbYY2zfvp0XX3wRNzc37rrrLjIzMzGbzfmOYTabyc7OJjMz0/7+f9vg8rcbMzIyrrvvjcjJySnQeoCFISYmpljOI0VHNSz9VMPSTzUsG1TH0q84a/jXzHc9t0QgvjLZOSsri5EjR/LHH3/Qvn17+1IidevWJSYmhlWrVnHXXXfh5OR0VYDNzs7GYrHkC79OTk7213D56TDX29fZ2fmGxuzo6EitWrVu+FpvREZGBjExMQQHBxfo6TRy61ENSz/VsPRTDcsG1bH0K+4aHjlypMB9S/RLdbt27aJjx472bbVq1SInJ4fU1FT7Ys5X1KhRg61btwLg7+9PUlLSVcfz9fXF398fgMTERPs84SvTKK60X2/fG2EwGIrt28oWi0XfjC7lVMPSTzUs/VTDskF1LP2Kq4YFnS4BJfilulOnTjFkyJB8c3f37duHt7c377//Pv3798/XPzo6mho1agAQGhrKjh077G1nz57l7NmzhIaG4u/vT0BAQL72HTt2EBAQgJ+fH40bN+b06dPExcXla2/cuHHRXKiIiIiI3NJKLBA3bNiQ+vXrM3bsWI4cOcLmzZuZNm0azzzzDO3bt2f79u0sXryYkydP8sEHH/Dpp58yYMAA4PKC1J999hnr1q0jOjqa0aNH065dO/vTVXr37s306dPZtm0b27ZtY8aMGfTr1w+AoKAgWrduzahRo4iOjmbdunVs2LCBRx99tKQ+ChEREREpQSU2ZcJkMjF//nwmTZrEww8/jMVioW/fvvTr1w+DwcCsWbOYPXs2s2bNokqVKsyYMYOwsDAAwsLCeOWVV5g9ezYXLlygVatW+Z7XHRkZSXJyMkOGDMFkMtGzZ898d5ynTp3KuHHj6NWrF76+vkyePFlrEIuIiIiUUyX2pLrSTE+qk4JSDUs/1bD0Uw3LhtJYxwsXLvD222/z9ddfk5ycTEBAAA8//DD9+vXDaCyxX9IDl5e8HTJkCD169LiqbcyYMXzyySf292azmaCgIPvYr8zN7du3L82bN2fo0KEFOt/AgQOpXbu2nlQnIiIiUh6cP3+ehx9+GD8/P1577TUCAwPZu3cvkyZNIjY2lhdffLGkh/i3OnfuzLhx44DLP4xs3bqV119/nYsXL9oD8Jw5c3B0dCzQ8T788EMAjh8/XjQD/pcUiEVERKTMyzoVS/zcmeSeT8Ghghf+Q4bjFBhUZOebMWMGZrOZxYsX25eBDQoKwtnZmWeffZbHHnuM6tWrF9n5/y1nZ+d8K3BVq1YNo9HIyy+/TK9evfD397cvj1sQ3t7eRf5As3+jZO/Xi4iIiBQhW24ux56O5MAdEcTPnUXyymXEz53FgTsiOPZ0JLbc3EI/Z3Z2Np9//jmPPvqoPQxf0b59e9577z2qVKkCXF4rNzIykrCwMBo2bEifPn04evSovf+bb75J69atadSoEX379uXw4cMAfPzxx3To0CHfsfv27cucOXPsY5gyZQpt2rShfv36dOjQgTVr1vyr67rvvvtwdHTkxx9/vOp8Y8aMYcqUKQwfPpzQ0FDatm3Lp59+at+3Q4cO/N///R8ATz75JG+//TaRkZE0atSITp068dNPP9n7nj9/niFDhhAWFsadd97JqlWrCAkJ+Vdj/ycKxCIiIlJmHR/8NMkfLCc3ISHf9tyEBJI/WE7MkKcL/ZwnT54kPT39mnNXDQYDLVq0wGw2Y7VaeeaZZ6hSpQqfffYZq1evJi8vj2nTpgHwzTffsGbNGmbOnMmGDRuoWLEiUVFRBRrDokWL+OGHH5gzZw5ffvkl3bt3Z9KkSVc9i+FGODk5ERgYeN0HXqxcuZL69euzYcMG7r77biZMmMClS5eu2XfBggV07dqVDRs2ULduXV588UWsVisAL7zwAufOnWPVqlW89NJLzJs376bHXFAKxCIiIlImZZ2K5cI3G+F66wfYbKR8/SVZp2IL9bwXL14EwN3d/W/7ZWZm8sgjjzBmzBiqVq1K/fr1eeCBB+yB8/Tp0zg6OhIQEEDVqlV58cUXGTNmTIHGULduXV577TUaN25MUFAQzzzzDDk5Of/6sclubm6kpaVdsy0kJISnnnqKoKAgnnvuOTIzM+13tP+qbdu29OjRg6pVqzJo0CDOnj1LYmIix48f55dffuGNN96gbt26tG3bliFDhvyrMReE5hCLiIhImRQ/d+ZVd4b/Kjchnvi5s6j6+vRCO++VubUXLlz4234uLi707t2bTz/9lH379nHs2DEOHDhAxYoVAejatSsrVqzgzjvvpHHjxnTs2JGePXsWaAwdO3bk559/5vXXX7cfFyAvL+/mLwxITU3Fzc3tmm3BwcH211f65F5nSsr1+h46dAgvLy/7syWAYnl4mu4Qi4iISJmUez6lYP1SzhfqeatWrYq7uzv79++/ZvugQYP45ZdfSEtLo2fPnmzYsIEaNWowbNgwRo8ebe/n6+vLxo0befvtt6lTpw6LFy+mV69eZGRkXPOxxP8bPt966y1GjRqFg4MD3bt3/9fzhwGysrKIiYmhdu3a12y/1ooT11vd93p9HRwcrrtPUdIdYhERESmTHCp4FayfV4XCPa+DA126dGHlypU8+OCDmM1me9v333/P999/z4gRI/jtt99ISEhg/fr1ODhcjmRbtmyxB8IffviBM2fO0KdPH9q1a8eQIUNo3bo1f/75J46OjvmmLthsNk6dOmV/v3r1aiZOnEjnzp0B7NMw/k3YXL9+PQaDgfbt29/0Mf5JzZo1uXDhArGxsfa7xPv27Suy812hO8QiIiJSJvkPGY6Dn9/f9nHw88d/yHOFfu6hQ4eSmppKZGQkv/32GydPnmTdunWMGTOGfv36UatWLby8vEhPT+fbb7/l1KlTrFu3jpUrV5KdnQ2A1Wpl6tSpfPPNN5w6dYqPP/4Yi8VCcHAwDRo0ICUlhffff5/Y2FimTJmSb4qGl5cXmzZtIjY2lt9//91+5/nKsf9JZmYmiYmJJCYmcuLECVasWMHkyZMZNGgQ3t7ehf55XVG9enVat27N2LFjiY6O5ueff2b27NlFdr4rdIdYREREyiSnwCA87+pM8gfLr/3FOoMBz7vuKZL1iH19fVm1ahVz5sxh5MiRpKSkULVqVYYNG0bv3r0BCAsLY/Dgwbz88stkZWUREhLCSy+9xLhx44iPj6dDhw4MGzaMKVOmkJiYSI0aNZg/fz6enp54enryn//8h7fffpuZM2fSo0cPOnXqZD//5MmTmThxIl27dsXf35+HHnoIk8nEwYMHueOOO/5x/Bs3bmTjxo3A5Tm+1atXZ/z48dd8sl1hmzJlCi+++KJ9veMePXrw7rvvFuk59ejmm6BHN0tBqYaln2pY+qmGZcPN1tGWm0vMkKdJ+fpLchPi7dsd/PzxvOseqs9biMFB9weLQ0FqmJGRwS+//MIdd9xhn2e8ceNGpk2bxvfff39D59Ojm0VEREQAg4MD1Rcs/u+T6lJScKjgjf+Q53CqEljSw5O/cHJyYuzYsfTu3ZsHH3yQpKQk5s2bl+/ud1FQIBYREZEyzykwiKqvzyjpYcg/MBqNzJs3j6lTp7J06VLc3Ny47777eP7554v0vArEIiIiInLLCA8PZ+3atcV6Tq0yISIiIiLlmgKxiIiIiJRrCsQiIiIiUq4pEIuIiIhIuaZALCIiIiLlmgKxiIiIiJRrCsQiIiIixWjjxo0kJycDMGfOHPr27VvCIxIFYhEREZFicvr0aYYPH05GRkZJD0X+hx7MISIiImVeWmwSh2ZuJOt8Kk4V3AgZ3hnXoIrFPg6bzVbs55R/pjvEIiIiUmZZc/P4dcACvmw+nuiZX3B82Y9Ez/yCL5uP59cBC7Dm5hXJeePi4njuuedo3rw5ERERvPrqq2RnZ3PnnXcCcOedd/Lxxx8DkJOTw8svv0yTJk24/fbbWbp0qf04NpuNefPm0bp1a8LDw3nmmWc4c+aMvT0kJIRZs2YRERHBM888UyTXUh4oEIuIiEiZtW3gOxxfvpmshAv5tmclXOD48s38NvCdQj9ndnY2jz/+OBkZGbz//vvMnDmTH374galTp7Ju3ToA1q1bR5cuXQDYuXMnjo6OfPrppwwcOJDXX3+do0ePArBixQrWr1/PjBkzWLNmDT4+PgwYMICcnBz7+TZt2sSqVasYOXJkoV9LeaFALCIiImVSWmwSZzbuhOvNUrDB6S93kRabVKjn/emnn4iPj2fatGmEhITQsmVLXnrpJVatWoWzszMA3t7e9tf+/v5ERUVRtWpV+vfvj4eHB4cOHQLg3XffZfTo0URERFCzZk1eeeUVLly4wE8//WQ/38MPP0yNGjWoVatWoV5HeaI5xCIiIlImHZq5kayEi3/bJyv+AodmbaTJ9MJb6eHo0aMEBwfj6elp39akSRNyc3PJy7t6ikZgYCAGg8H+3t3dnaysLNLS0oiLi+P555/HaPzvPczMzExiYmLs76tUqVJoYy+vFIhFRESkTMo6n1qgftnn0gr1vE5OTldtuxKErxWITSbTVdtsNpu976xZs6hevXq+9v8N29c6n9wYTZkQERGRMsmpgluB+pm9XQv1vNWrVycmJoaUlBT7tl27duHg4ECFChUKfBwPDw98fHxITEykWrVqVKtWjcqVKzNt2jSOHz9eqGMu7xSIRUREpEwKGd4ZJz/Pv+3j5O9JyHOdC/W8rVq1IigoiNGjR3Po0CG2bt3KpEmT6NatGxaLBYDo6GjS0v75znT//v2ZOXMm33//PTExMYwfP54//viDGjVqFOqYyztNmRAREZEyyTWoIgGdG3N8+eZrf7HOAAH3NC709YhNJhPz589n0qRJ9OrVC1dXV+69915eeOEFnJycuO+++xg+fHiBVoWIjIwkLS2Nl156idTUVBo0aMDixYvzTZmQf0+BWERERMqsiEVPYeDyahJZ8f9des3J35OAexoTseipIjlvUFAQixYtumbbtGnTmDZt2nX3/f777+2vTSYTzz//PM8///w1+15ZjUL+HQViERERKbOMDiZaLHnG/qS67PNpmL3//5PqAn1Kenhyi1AgFhERkTLPNagiTWYU3tJqUrboS3UiIiIiUq4pEIuIiIhIuVaigfjEiRNERkYSFhZGu3btePfdd+1tsbGx9O/fn8aNG9OlSxe2bNmSb99ffvmFbt26ERoaSr9+/YiNjc3X/t5779GmTRvCwsIYO3YsGRkZ9rasrCzGjh1LeHg4rVu3ZsmSJUV7oSIiIiJyyyqxQGy1Whk4cCAVKlTgk08+4eWXX+btt99m/fr12Gw2Bg8eTMWKFfnoo4+4//77GTJkCGfOnAHgzJkzDB48mB49evDhhx/i7e3Ns88+i812eU2Vr776irlz5/LKK6+wbNkydu/ene/bnFOnTmXfvn0sW7aMCRMmMHfuXL788ssS+RxEREREpGSV2JfqkpKSqFevHhMnTsTNzY3g4GBatmzJjh07qFixIrGxsaxevRoXFxdq1qzJr7/+ykcffcTQoUNZt24dDRo0YMCAAQBMmTKFVq1a8dtvvxEREcHy5ct5/PHHad++PQAvv/wykZGRjBo1CpvNxrp163jnnXeoX78+9evX5/Dhw6xcuZJ77rmnpD4OERERESkhJXaH2M/Pj5kzZ+Lm5obNZmPHjh1s376d5s2bs3v3bm677TZcXFzs/Zs2bcquXbsA2L17N+Hh4fY2i8VC/fr12bVrF3l5eezduzdfe+PGjcnJySE6Opro6Ghyc3MJCwvLd+zdu3djtVqL/sJFRERE5JZySyy71qFDB86cOUP79u3p1KkTkydPxs/PL18fHx8f4uLiAEhMTLxu+8WLF8nKysrX7uDggJeXF3FxcRiNRipUqIDZbLa3V6xYkaysLFJSUvD29i7QmG02G+np6Td7yQVyZd7z/85/ltJFNSz9VMPSTzUsG1TH0q+4a2iz2TAYDAXqe0sE4tmzZ5OUlMTEiROZMmUKGRkZ+QIrgNlsJjs7G+Bv2zMzM+3vr9Vus9mu2QbYj18QOTk5HDx4sMD9/42YmJhiOY8UHdWw9FMNSz/VsGwoLXUcNmwYSUlJV22vU6cOEydOZNKkSdSrV4+ePXsW+rn79Oljf20wGHB2dqZmzZo8/PDD1KxZE7h8c/G5555j1qxZ+Pr6/u3xDhw4wKuvvsoHH3xQKOMrzhr+NfNdzy0RiBs2bAhcXv1h5MiRPPjgg1f99JCdnY2zszMATk5OV4XX7OxsPDw8cHJysr//a7vFYiEvL++abYD9+AXh6OhIrVq1Ctz/ZmRkZBATE0NwcDAWi6VIzyVFQzUs/VTD0k81LBtKWx0dHR0ZNWoUd99991XbPT09efvtt3F0dMw3PbQwTZ8+ndDQUKxWK+fOnWPlypVMnjyZ5cuXU6tWLerUqcM333xDhQoVMJlMf3usWrVq0bZtWypWrPivxlTcNTxy5EiB+5bol+p27dpFx44d7dtq1apFTk4Ovr6+HDt27Kr+V6ZB+Pv7X/VT15Uv6Xl5eeHk5ERSUpL9p6Dc3FxSUlLw9fXFZrNx/vx5cnNzcXC4fPmJiYk4Ozvj4eFR4PEbDIYi+0v8VxaLpdjOJUVDNSz9VMPSTzUsG262jtmZsZyPm4k1NwWjgxcVKg3H7BxUBCO8zGg04u3tTdWqVa/ZXtR/F/38/OznDg4OJiwsjMcee4z58+ezYMECANzd3Qt8PE9Pz0IbW3H9WyzodAkowS/VnTp1iiFDhhAfH2/ftm/fPry9vWnatCn79++3T38A2LFjB6GhoQCEhoayY8cOe1tGRgYHDhwgNDQUo9FIw4YN87Xv2rULBwcH6tatS7169XBwcLB/Qe/KsRs2bIjRqOeUiIiIlCU2Wy5njkZyYl8E5+NmcSFpGefjZnFiXwRnjkZis+WWyLj69u3LnDlzABgzZgxTpkxh+PDhhIaG0rZtWz799FN73+zsbF599VUiIiKIiIhg5MiRpKSk3ND5DAYDDz30EFu2bCEzM5NTp04REhLCqVOnAAgJCeGzzz6jW7duNGjQgD59+tif8bBt2zZCQkIA7Pt9/fXXdOzYkYYNG/L000/nG8+WLVu49957adSoEU8++SSTJk1izJgxN/9hFYMSS4ANGzakfv36jB07liNHjrB582amTZvGM888Q/PmzalcuTJRUVEcPnyYRYsWsWfPHvs8mwcffJA//viDRYsWcfjwYaKioggMDCQiIgK4PHdm8eLFfPvtt+zZs4eJEyfSq1cvLBYLFouF7t27M3HiRPbs2cO3337LkiVL6NevX0l9FCIiIlJEzh57mouJy8nLTci3PS83gYuJy4k79nQJjSy/lStXUr9+fTZs2MDdd9/NhAkTuHTpEgBvvvkm+/bt45133mH58uWkpqby3HPP3fA5rvwm/npzeOfMmcO4ceP4+OOPOX/+PDNnzrzusRYsWMCbb77JihUr2Lt3L0uXLgUuP1ht0KBBdO7cmU8//ZSGDRuycuXKGx5rcSuxKRMmk4n58+czadIkHn74YSwWC3379qVfv34YDAbmz5/PuHHj6NGjB9WqVWPevHkEBAQAEBgYyJw5c5g8eTLz5s0jLCyMefPm2W+Nd+3aldOnT/PSSy+RnZ3N3XffzahRo+znjoqKYuLEiTz++OO4ubkxdOjQq+b4iIiISOmWnRlL2vmNgO06PWykpnxJdmZskUyfmDBhApMmTcq37eeff77mdIGQkBCeeuopAJ577jmWL1/O4cOHqVevHitWrOCjjz6y36WdOnUqERERHDp0yL6tIK5MkUhLS8PNze2q9ieeeIKWLVsC0Lt3778NssOGDaNRo0YA3HvvvezduxeAdevW0ahRI5599ln7tfzyyy8FHmNJKdEv1fn7+zN37txrtlWrVo0VK1Zcd9+2bdvStm3b67YPHDiQgQMHXrPNYrHwxhtv8MYbb9zYgEVERKTUOB8386o7w3+VlxPP+bhZ+AdPL/TzDxs27Kobbtf7MllwcLD99ZWwmpubS2xsLDk5OTzyyCP5+lutVmJiYm4oEKempuY7/l9Vq1Yt3xhycnKue6zr9T106JB9sYQrGjduzIULFwo8zpJwS6wyISIiIlLYrLkpBex3vkjO7+Pjky84/h1HR8erttlsNvLy8gD44IMPrrqz7OPjc0PjOXToEI6OjgQHB5OYmFigMdzIeOHyDACbLf8d+b++vxXpW2QiIiJSJhkdvArYr0LRDuRfCAoKwmQykZKSQrVq1ahWrRpubm5MmTKF5OTkGzrWxx9/TIcOHexL1BaF2rVrs3///nzb/vr+VqRALCIiImVShUrDMTn4/W0fk6M/FSrd+BfUioubmxsPPfQQEydOZNu2bRw5coTRo0dz4sQJAgMDr7vfhQsXSExMJD4+nv379zNixAj279/P8OHDi3S8vXr1YteuXSxatIjjx4+zYMECfv/99xtaAq0kaMqEiIiIlElm5yBcK3TmYuJyrv3FOgOuXvcU6XrEhWHMmDG88cYbDBs2jJycHJo1a8aiRYv+9oEaQ4cOBS6vh+zj40OTJk1YvXo1NWrUKNKxVqlShdmzZ/PGG28we/ZsWrVqxZ133nlD0zFKgsFWGiZ23GKufJPyr5PGC1t6ejoHDx6kXr16Wky+lFINSz/VsPRTDcuGm62jzZZL3LGnSU35kryc/z77wOToj6vXPVSusRCDQfcHC8uff/5Jbm4ut912m33bwIEDadiwIZGRkcX6b/FG8pr+BoiIiEiZZTA4ULnm4r88qc6bCpWfw+x0/SkHcnNOnjzJuHHjePPNNwkODuaXX37h119/5YUXXijpof0tBWIREREp88zOQfgHzyjpYZR5HTt25PDhw4wbN47k5GSqV6/OW2+9Rd26dUlPTy/p4V2XArGIiIiIFJpBgwYxaNCgkh7GDdEqEyIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGslGojj4+MZNmwYzZs3p02bNkyZMoWsrCwAXn31VUJCQvL9WbFihX3fDRs20LFjR0JDQxk8eDDnzp2zt9lsNqZPn06LFi1o3rw5U6dOxWq12tvPnz/P0KFDCQsLo0OHDnz22WfFd9EiIiIicktxKKkT22w2hg0bhoeHBytXruTChQuMHTsWo9HIf/7zH44ePcqIESN44IEH7Pu4ubkBsGfPHsaNG8fLL79M3bp1ee2114iKimLhwoUALF26lA0bNjB37lxyc3MZNWoUPj4+REZGAhAVFUVmZiZr1qxh9+7djB8/nurVq9OoUaPi/yBEREREpESVWCA+duwYu3bt4ueff6ZixYoADBs2jDfeeMMeiCMjI/H19b1q3xUrVtC5c2e6d+8OwNSpU2nfvj2xsbEEBQWxfPlyhg0bRnh4OAAjR45k1qxZREZGcvLkSTZt2sR3331HYGAgderUYdeuXXzwwQcKxCIiIiLlUIlNmfD19eXdd9+1h+ErUlNTSU1NJT4+nuDg4Gvuu3v3bnvYBahcuTIBAQHs3r2b+Ph4zp49S7NmzeztTZs25fTp0yQkJLB7924qV65MYGBgvvadO3cW7gWKiIiISKlQYneIPTw8aNOmjf291WplxYoVtGjRgqNHj2IwGFiwYAE//vgjXl5ePPHEE/bpEwkJCfj5+eU7no+PD3FxcSQmJgLka78Suq+0X2vf+Pj4Gxq/zWYjPT39hva5URkZGfn+K6WPalj6qYaln2pYNqiOpV9x19Bms2EwGArUt8QC8V9NmzaNAwcO8OGHH7J//34MBgM1atTgscceY/v27bz44ou4ublx1113kZmZidlszre/2WwmOzubzMxM+/v/bQPIzs4mIyPjuvveiJycHA4ePHgzl3rDYmJiiuU8UnRUw9JPNSz9VMOyQXUs/Yqzhn/NfNdzSwTiadOmsWzZMt566y3q1KlD7dq1ad++PV5eXgDUrVuXmJgYVq1axV133YWTk9NVATY7OxuLxZIv/Do5OdlfA1gsluvu6+zsfENjdnR0pFatWjdzuQWWkZFBTEwMwcHBWCyWIj2XFA3VsPRTDUs/1bBsUB1Lv+Ku4ZEjRwrct8QD8aRJk1i1ahXTpk2jU6dOABgMBnsYvqJGjRps3boVAH9/f5KSkvK1JyUl4evri7+/PwCJiYn2ecJXplFcab/evjfCYDDg4uJyQ/vcLIvFUmznkqKhGpZ+qmHppxqWDapj6VdcNSzodAko4XWI586dy+rVq3nzzTfp2rWrffusWbPo379/vr7R0dHUqFEDgNDQUHbs2GFvO3v2LGfPniU0NBR/f38CAgLyte/YsYOAgAD8/Pxo3Lgxp0+fJi4uLl9748aNi+YiRUREROSWVmJ3iI8ePcr8+fMZOHAgTZs2td/FBWjfvj2LFi1i8eLF3HXXXWzZsoVPP/2U5cuXA9C7d2/69u1L48aNadiwIa+99hrt2rUjKCjI3j59+nQqVaoEwIwZMxgwYAAAQUFBtG7dmlGjRjFu3Dj27t3Lhg0b8j30Q0RERETKjxILxN999x15eXm8/fbbvP322/naDh06xKxZs5g9ezazZs2iSpUqzJgxg7CwMADCwsJ45ZVXmD17NhcuXKBVq1ZMmjTJvn9kZCTJyckMGTIEk8lEz549891xnjp1KuPGjaNXr174+voyefJkrUEsIiIiUk4ZbDabraQHUdrs3bsXgIYNGxbpedLT0zl48CD16tXTfKlSSjUs/VTD0k81LBtUx9KvuGt4I3mtROcQi4iIiIiUNAViERERESnXFIhFREREpFxTIBYRERGRck2BWERERETKNQViERERESnXFIhFREREpFxTIBYRERGRck2BWERERETKNQViERERESnXFIhFREREpFxTIBYRERGRck2BWERERETKNQViERERESnXFIhFREREpFxTIBYRERGRck2BWERERETKNQViERERESnXFIhFREREpFxTIBYRERGRck2BWERERETKNQViERERESnXbjoQ//HHH5w7dw6ATz/9lKeffpqFCxdis9kKbXDyXxk5ucRdyuBUShpxlzLIzMkr6SGJiIiIlAk3FYhXr17No48+yqFDh4iOjiYqKoqcnBzee+895s2bV9hjLNecnZ1JyYHR63dQe/KnVJv0MXWnfMaLG3cRfymjpIcnIiIiUurdVCBetmwZ48ePp2XLlnzxxRfUrl2bJUuWMHXqVD7++OPCHmO55lEpiLbzvmL+z3+Snp0LwKWsHN7cfICOb39DQmpmCY9QREREpHS7qUB86tQpOnToAMDPP//MHXfcAUDNmjVJSkoqvNGVc1YMLNl+jGPJqddsPxB/gXW7YsizWot5ZCIiIiJlx00FYh8fHxISEkhMTOTgwYO0atUKgOjoaCpWrFioAyzPLuVYeWfbkb/tM+/nQySnZRfTiERERETKHoeb2alr166MHDkSi8VCpUqVaN68OV988QWTJk2iZ8+ehT3GcstgMJD4D1MiktKysOqLjCIiIiI37aYC8YgRI6hUqRKxsbE8+uijmEwmkpOTeeSRRxg6dGhhj7H8stm4zd+LPWfPX7dLPT9PHE2GYhyUiIiISNlyU4HYaDTSt2/ffNv++l7+PS8nE6Pa1aPvql+u22fcXQ3xcXUuxlGJiIiIlC03vQ7x5s2b6devH61bt+b06dPMmTOHzz77rDDHVu5ZrVZaV/XisabVr9n+bKs6hAf5FPOoRERERMqWm7pD/PPPPzNkyBC6du3Krl27sFqt5ObmEhUVhc1mo3v37oU8zPIr+fRJpnVrwtMt6zB1035OpaRT3duN0R3qU7OiO94uTiU9RBEREZFS7aYC8Zw5cxgxYgT9+/fnq6++AuD555/Hzc2NxYsXKxAXIqvVipsD3F7dj+WVvcjKteLsaMLdybGkhyYiIiJSJtzUlIlDhw7Z1yH+X/fccw8nT57814OSa/NwNuPr5qwwLCIiIlKIbioQu7u7k5CQcNX2I0eO4Onp+a8HJSIiIiJSXG4qEN97771MnjyZ6OhoDAYDaWlp/Pjjj0yaNIkuXboU9hhFRERERIrMTQXi4cOHU716dbp37056ejoPPPAAAwcOpE6dOjz//PMFPk58fDzDhg2jefPmtGnThilTppCVlQVAbGws/fv3p3HjxnTp0oUtW7bk2/eXX36hW7duhIaG0q9fP2JjY/O1v/fee7Rp04awsDDGjh1LRkaGvS0rK4uxY8cSHh5O69atWbJkyc18DCIiIiJSBtxUIHZ0dGTGjBl89dVXzJw5kxkzZrBhwwYWLFiAk1PBVj2w2WwMGzaMjIwMVq5cyVtvvcWmTZuYOXMmNpuNwYMHU7FiRT766CPuv/9+hgwZwpkzZwA4c+YMgwcPpkePHnz44Yd4e3vz7LPPYvv/T2z76quvmDt3Lq+88grLli1j9+7dTJs2zX7uqVOnsm/fPpYtW8aECROYO3cuX3755c18FCIiIiJSyt3UKhNXVKtWjWrVqt3UvseOHWPXrl38/PPPVKxYEYBhw4bxxhtvcMcddxAbG8vq1atxcXGhZs2a/Prrr3z00UcMHTqUdevW0aBBAwYMGADAlClTaNWqFb/99hsREREsX76cxx9/nPbt2wPw8ssvExkZyahRo7DZbKxbt4533nmH+vXrU79+fQ4fPszKlSu55557/s3HISIiIiKlUIEDcd26dTEYCvaI4IMHD/5jH19fX9599117GL4iNTWV3bt3c9ttt+Hi4mLf3rRpU3bt2gXA7t27CQ8Pt7dZLBbq16/Prl27CA8PZ+/evQwZMsTe3rhxY3JycoiOjsZms5Gbm0tYWFi+Yy9YsACr1YrReNPPKhERERGRUqjAgXjy5MkFDsQF4eHhQZs2bezvrVYrK1asoEWLFiQmJuLn55evv4+PD3FxcQB/237x4kWysrLytTs4OODl5UVcXBxGo5EKFSpgNpvt7RUrViQrK4uUlBS8vb0LNH6bzUZ6evoNX/eNuDLv+X/nP0vpohqWfqph6acalg2qY+lX3DW02WwFzq4FDsQ9evS46QEVxLRp0zhw4AAffvgh7733Xr7ACmA2m8nOzgYuf5DXa8/MzLS/v1a7zWa7ZhtgP35B5OTkFOhOeGGIiYkplvNI0VENSz/VsPRTDcsG1bH0K84a/jXzXc9NzyH+7rvv+PPPP8nLy7Nvy87OZu/evSxduvSGjjVt2jSWLVvGW2+9RZ06dXByciIlJSVfn+zsbJydnQFwcnK6KrxmZ2fj4eFh/1LftdotFgt5eXnXbAPsxy8IR0dHatWqVeD+NyMjI4OYmBiCg4OxWCxFei4pGqph6acaln6qYdmgOpZ+xV3DI0eOFLjvTQXi6dOn2+f/Jicn4+/vT1JSEnl5eXTt2vWGjjVp0iRWrVrFtGnT6NSpEwD+/v5XXURSUpJ9GsSV8/21vV69enh5eeHk5ERSUhI1a9YEIDc3l5SUFHx9fbHZbJw/f57c3FwcHC5ffmJiIs7Oznh4eBR43AaDId8c56JksViK7VxSNFTD0k81LP1Uw7JBdSz9iquGNzLV96a+QbZ+/XrGjh3Lli1b8PPz44MPPmDLli00adKEoKCgAh9n7ty5rF69mjfffDNfkA4NDWX//v326Q8AO3bsIDQ01N6+Y8cOe1tGRgYHDhwgNDQUo9FIw4YN87Xv2rULBwcH6tatS7169XBwcLB/Qe/KsRs2bKgv1ImIiIiUQzeVAJOTk+nQoQMAISEh7NmzBy8vL55//nm++OKLAh3j6NGjzJ8/n6eeeoqmTZuSmJho/9O8eXMqV65MVFQUhw8fZtGiRezZs4eePXsC8OCDD/LHH3+waNEiDh8+TFRUFIGBgURERADQp08fFi9ezLfffsuePXuYOHEivXr1wmKxYLFY6N69OxMnTmTPnj18++23LFmyhH79+t3MRyEiIiIipdxNTZnw8PCwr7BQtWpV+/SGgIAA4uPjC3SM7777jry8PN5++23efvvtfG2HDh1i/vz5jBs3jh49elCtWjXmzZtHQEAAAIGBgcyZM4fJkyczb948wsLCmDdvnv3WeNeuXTl9+jQvvfQS2dnZ3H333YwaNcp+/KioKCZOnMjjjz+Om5sbQ4cO5e67776Zj0JERERESrmbCsQRERFMnz6dSZMmERoaysKFC+nTpw9fffVVgZctGzhwIAMHDrxue7Vq1VixYsV129u2bUvbtm1v6vgWi4U33niDN954o0BjFREREZGy66amTIwePZqEhAQ2btxIp06dMJvNtGrViqlTp/L4448X9hhFRERERIrMTd0hrly5Mp9++ilZWVmkpqbSr18/Tp8+zR133EHDhg0Le4wiIiIiIkXmhgLxvHnzWL58OWvXrqVatWrs37+fgQMHkpaWhs1m4/fff+ftt9++ofV8RURERERKUoGnTKxZs4YFCxbQq1cvfHx8ABg7dizOzs6sX7+ezZs3k5aWxqJFi4pssCIiIiIiha3AgXjdunWMGTOGESNG4Obmxt69e4mJiaFv377UqlULf39/Bg0axOeff16U4xURERERKVQFDsRHjx6lVatW9vdbt27FYDDkW+mhVq1anDlzpnBHKCIiIiJShG5olYn/fQTe77//jqenJ3Xr1rVvS0tL0/PFRURERKRUKXAgrlOnDn/88QcAFy9eZNu2bfnuGANs3LiROnXqFO4IRURERESKUIFXmXj00UeZMGECBw8eZOfOnWRnZ9vXHI6Pj2f9+vUsXryY1157rcgGKyIiIiJS2AociO+77z6ys7NZtWoVRqORt956i0aNGgGwcOFC1q5dy1NPPcX9999fZIMVERERESlsN7QOcc+ePenZs+dV259++mmGDh1KhQoVCm1gIiIiIiLF4aaeVPdX/v7+hXEYEREREZFid0OrTIiIiIiIlDUKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuWaArGIiIiIlGsKxCIiIiJSrikQi4iIiEi5pkAsIiIiIuXaLRGIs7Oz6datG9u2bbNve/XVVwkJCcn3Z8WKFfb2DRs20LFjR0JDQxk8eDDnzp2zt9lsNqZPn06LFi1o3rw5U6dOxWq12tvPnz/P0KFDCQsLo0OHDnz22WfFc6EiIiIicstxKOkBZGVlMWLECA4fPpxv+9GjRxkxYgQPPPCAfZubmxsAe/bsYdy4cbz88svUrVuX1157jaioKBYuXAjA0qVL2bBhA3PnziU3N5dRo0bh4+NDZGQkAFFRUWRmZrJmzRp2797N+PHjqV69Oo0aNSqmqxYRERGRW0WJBuIjR44wYsQIbDbbVW1Hjx4lMjISX1/fq9pWrFhB586d6d69OwBTp06lffv2xMbGEhQUxPLlyxk2bBjh4eEAjBw5klmzZhEZGcnJkyfZtGkT3333HYGBgdSpU4ddu3bxwQcfKBCLiIiIlEMlGoh/++03IiIieP7552ncuLF9e2pqKvHx8QQHB19zv927d/PUU0/Z31euXJmAgAB2796N2Wzm7NmzNGvWzN7etGlTTp8+TUJCArt376Zy5coEBgbma79yd7mgbDYb6enpN7TPjcrIyMj3Xyl9VMPSTzUs/VTDskF1LP2Ku4Y2mw2DwVCgviUaiPv06XPN7UePHsVgMLBgwQJ+/PFHvLy8eOKJJ+zTJxISEvDz88u3j4+PD3FxcSQmJgLka69YsSKAvf1a+8bHx9/Q2HNycjh48OAN7XOzYmJiiuU8UnRUw9JPNSz9VMOyQXUs/YqzhmazuUD9SnwO8bUcO3YMg8FAjRo1eOyxx9i+fTsvvvgibm5u3HXXXWRmZl51gWazmezsbDIzM+3v/7cNLn95LyMj47r73ghHR0dq1ap1M5dXYBkZGcTExBAcHIzFYinSc0nRUA1LP9Ww9FMNywbVsfQr7hoeOXKkwH1vyUDcvXt32rdvj5eXFwB169YlJiaGVatWcdddd+Hk5HRVgM3OzsZiseQLv05OTvbXABaL5br7Ojs739AYDQYDLi4uN3N5N8xisRTbuaRoqIaln2pY+qmGZYPqWPoVVw0LOl0CbpFl1/7KYDDYw/AVNWrUsE9r8Pf3JykpKV97UlISvr6++Pv7A9inTvzv6yvt19tXRERERMqfWzIQz5o1i/79++fbFh0dTY0aNQAIDQ1lx44d9razZ89y9uxZQkND8ff3JyAgIF/7jh07CAgIwM/Pj8aNG3P69Gni4uLytf/vl/pEREREpPy4JQNx+/bt2b59O4sXL+bkyZN88MEHfPrppwwYMACA3r1789lnn7Fu3Tqio6MZPXo07dq1IygoyN4+ffp0tm3bxrZt25gxYwb9+vUDICgoiNatWzNq1Ciio6NZt24dGzZs4NFHHy2x6xURERGRknNLziFu1KgRs2bNYvbs2cyaNYsqVaowY8YMwsLCAAgLC+OVV15h9uzZXLhwgVatWjFp0iT7/pGRkSQnJzNkyBBMJhM9e/bMd8d56tSpjBs3jl69euHr68vkyZO1BrGIiIhIOXXLBOJDhw7le9+xY0c6dux43f49evSgR48e12wzmUxERUURFRV1zXYfHx8WLFhw84MVERERkTLjlpwyISIiIiJSXBSIRURERKRcUyAWERERkXJNgVhEREREyjUFYhEREREp1xSIRURERKRcUyAWERERkXJNgVhEREREyjUFYhEREREp1xSIRURERKRcUyAWERERkXJNgVhEREREyjUFYhEREREp1xSIRURERKRcUyAWERERkXJNgVhEREREyjUFYhEREREp1xSIRURERKRcUyAWERERkXJNgVhEREREyjUFYhEREREp1xSIRURERKRccyjpAciNS07LItdqxdFkxMFowGQ04mpWKUVERERuhlJUKXI+PYs/Tp1j9c4YnmxRi71nU/gy+jQAj4RV544afvi5W0p4lCIiIiKliwJxKXE+PYs3Nx/g072xLHnkdh5atpnYlHR7+yd7YwnycuGHwZ0I9nYrwZGKiIiIlC6aQ1xKJKRmMvnbfUzq3Jin1v6aLwxfEZuSzv2LN5GQmlkCIxQREREpnRSISwErBuZuOUQldwtuTo7sPZty3b774lKIv5RRfIMTERERKeUUiEuBrDwbR5MuUbOiG3vOnP/H/jtik4thVCIiIiJlgwJxKeDkYKRmRXfSs/Nwd3L8x/5eFnMxjEpERESkbFAgLgWMNitD29Rlz9nzNAn0xsnh+mVzcjDSoppvMY5OREREpHRTIC4l/NyciLqzAat3xTC6Q4Pr9nv5nlDcnbR4iIiIiEhBKRCXEl4WJ4bfUY+u9arQvKoPM7s3I9DLxd4e6OXC4odb8mREbVwLMK1CRERERC7TrcRSpIKLE+1qVeJcWhYRVSvyYKOqZOdZAXBxNOHj4oTJpJ9xRERERG6EAnEp5O3qZH9ttdpISsskNTuXS1k5mB1MXMzMwctixtnBhM//9BURERGRqykQl2KXMnP49UQii375k9F3NmD8Fzv57nCcvb1NDT/efbgl1Su46c6xiIiIyHXcEikpOzubbt26sW3bNvu22NhY+vfvT+PGjenSpQtbtmzJt88vv/xCt27dCA0NpV+/fsTGxuZrf++992jTpg1hYWGMHTuWjIz/PqwiKyuLsWPHEh4eTuvWrVmyZEnRXmAR+eNUMg++9wPj7m5E9yWb8oVhgJ+OJdBi5kbO6kEdIiIiItdV4oE4KyuLF154gcOHD9u32Ww2Bg8eTMWKFfnoo4+4//77GTJkCGfOnAHgzJkzDB48mB49evDhhx/i7e3Ns88+i81mA+Crr75i7ty5vPLKKyxbtozdu3czbdo0+/GnTp3Kvn37WLZsGRMmTGDu3Ll8+eWXxXvh/1JiaibPfbqdRxpXZ9Ufx4m/dO3HNZ/PyGbapv1kZOcW8whFRERESocSnTJx5MgRRowYYQ+yV2zdupXY2FhWr16Ni4sLNWvW5Ndff+Wjjz5i6NChrFu3jgYNGjBgwAAApkyZQqtWrfjtt9+IiIhg+fLlPP7447Rv3x6Al19+mcjISEaNGoXNZmPdunW888471K9fn/r163P48GFWrlzJPffcU+yfwc3KzM1j79kUXrq7ESP+b4d9u8EAnUICeKpFbSp5WAD49Xgiqdm5WMyaISMiIiLyVyV6h/hKgF2zZk2+7bt37+a2227DxeW/y4o1bdqUXbt22dvDw8PtbRaLhfr167Nr1y7y8vLYu3dvvvbGjRuTk5NDdHQ00dHR5ObmEhYWlu/Yu3fvxmq1FtGVFr486+UfIpwcTKT9/7u/ZpORDx9vS5d6VYj6fCetZn9J27lf8XNMAikZ2WTl5pXkkEVERERuSSV6y7BPnz7X3J6YmIifn1++bT4+PsTFxf1j+8WLF8nKysrX7uDggJeXF3FxcRiNRipUqIDZ/N/HG1esWJGsrCxSUlLw9vYu0NhtNhvp6ekF6nuzrsx7/t/5z1c4mYz4uDpxIP4CEVUr8sXB08y4P5wvo8/wztb/Tj/Jtdr4ZG8sXx06yy9D76FWBeer7shL0fm7GkrpoBqWfqph2aA6ln7FXUObzYbBYChQ31vyd+gZGRn5AiuA2WwmOzv7H9szMzPt76/VbrPZrtkG2I9fEDk5ORw8eLDA/f+NmJiYq7Z5VPBmeJu6vLv1MHN6NGfbySQaBVRg6Me/XfMY6dm5PL1uK+/3bEJK3KkiHrH81bVqKKWLalj6qYZlg+pY+hVnDf+a+a7nlgzETk5OpKSk5NuWnZ2Ns7Ozvf2v4TU7OxsPDw+cnJzs7//abrFYyMvLu2YbYD9+QTg6OlKrVq0C978ZGRkZxMTEEBwcjMViuar9Kd9KHE66xJ4z53nvkdtZuyvmb4+37WQSTi5u1KtXr4hGLH/1TzWUW59qWPqphmWD6lj6FXcNjxw5UuC+t2Qg9vf3v+oikpKS7NMg/P39SUpKuqq9Xr16eHl54eTkRFJSEjVr1gQgNzeXlJQUfH19sdlsnD9/ntzcXBwcLl9+YmIizs7OeHh4FHiMBoMh3xznomSxWK55Lhdgxv3hJKdlkZadQ2Jq/pUm/N2diYyoTdua/hgM8HtsMtl5ebi4FPw6pXBcr4ZSeqiGpZ9qWDaojqVfcdWwoNMl4BZYdu1aQkND2b9/v336A8COHTsIDQ21t+/Y8d+VFTIyMjhw4AChoaEYjUYaNmyYr33Xrl04ODhQt25d6tWrh4ODg/0LeleO3bBhQ4zGW/Lj+FveLk7U9vUgNMCbsCr/nf/8WNPqfPJEe2LOpfLQss08sOQHtsYkkpadR2pWTgmOWEREROTWcksmwObNm1O5cmWioqI4fPgwixYtYs+ePfTs2ROABx98kD/++INFixZx+PBhoqKiCAwMJCIiArj8Zb3Fixfz7bffsmfPHiZOnEivXr2wWCxYLBa6d+/OxIkT2bNnD99++y1LliyhX79+JXnJ/5rBYODRJjUwGQ10qF2J3mHVaT//Kz744zgXM3NIy87l//afosmbn7PpSByZOVqXWERERARu0SkTJpOJ+fPnM27cOHr06EG1atWYN28eAQEBAAQGBjJnzhwmT57MvHnzCAsLY968efZb4127duX06dO89NJLZGdnc/fddzNq1Cj78aOiopg4cSKPP/44bm5uDB06lLvvvrtErrUwebk48sFjbfB0duSptb+SlXv1MnJWm43HVm7hz6juODvekuUXERERKVa3TCI6dOhQvvfVqlVjxYoV1+3ftm1b2rZte932gQMHMnDgwGu2WSwW3njjDd54442bG+wtytXsSOe6AeyPu0BsyvWXhEvNymVrTCL3N6xajKMTERERuTXdklMm5Oa5Ojly+uI/r498OOlSMYxGRERE5NanQFwGBVdw+8c+dXy10oSIiIgIKBCXSQGeFoK9rx+K3Z0ciahWsRhHJCIiInLrUiAugyq6OrG23x1YHE1XtZmMBtb0a4OXpWBPbhEREREp6xSIyyCT0UiDyl7sH30fA1vWxtfNGW8XM4+EBbN31L20ruGPk8PVYVlERESkPLplVpmQwuXkYKKatxsz7gtnwt2hYABXRwfcnR1LemgiIiIitxQF4jLOxeyAi1llFhEREbkeTZkQERERkXJNgVhEREREyjUFYhEREREp1xSIRURERKRcUyAWERERkXJNgVhEREREyjUFYhEREREp1xSIRURERKRcUyAWERERkXJNjzArJy5l5ZCWlUuezYaD0YCPqxMORv08JCIiIqJAXMbl5VmJvZDO2M//4OO9seTkWankbuH5tvXo37wmFV2dS3qIIiIiIiVKgbiMi72QTvibn3M+I9u+Le5SBv/Z8Aebj8axtHcrhWIREREp1/Q78zLsQkY2Iz77PV8Y/l9fHDzDwfgLxTwqERERkVuLAnEZlpGTx/oDp/62z1ubD3Ip89qBWURERKQ8UCAuw7LzrORZbX/bJyktk+y8v+8jIiIiUpYpEJdhZgcjns6Of9unYeUKuJpNxTQiERERkVuPAnEZ5uVs5unb6/xtn+F31MPZUd+tFBERkfJLgbgMc3Y08ULb22gZXPGa7XN7NMfPTStMiIiISPmmW4NlnK+bM5880Z5tJxKZ9VM059KzaBzgzaj29ansYcHTYi7pIYqIiIiUKAXicsDXzZlu9YNoVd2PXKsNF7MDrmaVXkRERAQUiMuVCi5OWK15ZOWmk55tw4ABR5MzDqa//+KdiIiISFmmQFyOZOakcejsbxw8u4XMnDQcTGZq+4XTMKgdLmaPkh6eiIiISIlQIC4nMnPS+O7AchIvnbBvy83L5uDZX4g9d5Auoc/iYnYvwRGKiIiIlAwF4nLibMqRfGHYxexBkE8ELk6VsdmsJF46Q2CFGpiMmj4hIiIi5YuWXSsHMnPS2H96i/19nUrtqRPQn0XbzPxyIg9vV3/SszOJSTrApcxzZOWkl+BoRURERIqX7hCXAzablcycVACCfVsScyGYp975gS8Htoa8XfxwcDVWW569fxWvEFrXeQiL2a2khiwiIiJSbHSHuBwwGR3wtPhiMBgJ8mnBgDW/83zb2hhtezma8Eu+MAxwOuUQm6JXkJmTVkIjFhERESk+CsTlgNnBQqOgDlTxqs3nB+LItVp5PLwqxxK2XnefhIsxZGRfKsZRioiIiJQMBeJywsvFjxq+YeyPSyfAw4WM7HPkWXP+dp+YpL3FNDoRERGRknNLB+JvvvmGkJCQfH+GDRsGwIEDB3jooYcIDQ3lwQcfZN++ffn23bBhAx07diQ0NJTBgwdz7tw5e5vNZmP69Om0aNGC5s2bM3XqVKxWa7FeW3FzcnQhyLseNSu6YTCArQD72GwF6SUiIiJSut3SgfjIkSO0b9+eLVu22P+8+uqrpKenM3DgQMLDw/n4448JCwvj6aefJj398uoIe/bsYdy4cQwZMoQ1a9Zw8eJFoqKi7MddunQpGzZsYO7cucyePZv169ezdOnSkrrMYuPo4ESfJjU4ezEDVydvjAbT3/avVrF+MY1MREREpOTc0oH46NGj1KlTB19fX/sfDw8PvvjiC5ycnBg9ejQ1a9Zk3LhxuLq68uWXXwKwYsUKOnfuTPfu3albty5Tp05l8+bNxMbGArB8+XKGDRtGeHg4LVq0YOTIkaxcubIkL7XYeDg78nrXJqzeeZpg3/B8bSajA4EVQqjuG0ptv3BcnbxKZpAiIiIixeiWD8TBwcFXbd+9ezdNmzbFYDAAYDAYaNKkCbt27bK3h4f/N+xVrlyZgIAAdu/eTXx8PGfPnqVZs2b29qZNm3L69GkSEhKK9HpuBR7OZgZE1KJ1jcr4uLekmk8TDBgJqXw3LWsPZU9iE9YfqsmptKZcyDSSlZv3zwcVERERKcVu2XWIbTYbx48fZ8uWLSxcuJC8vDzuuecehg0bRmJiIrVq1crX38fHh8OHDwOQkJCAn5/fVe1xcXEkJiYC5GuvWLEiAHFxcVft93fjuzJFo6hkZGTk+29hMQMtAitwISuPKp6dqR/YhXe3HWXCl9/g4+rEs63qUNvXg+PnUqnkbsHiYMTD0aA5xTehqGooxUc1LP1Uw7JBdSz9iruGNpvNfvP0n9yygfjMmTNkZGRgNpuZOXMmp06d4tVXXyUzM9O+/X+ZzWays7MByMzMvG57Zmam/f3/tgH2/QsiJyeHgwcP3tS13aiYmJgiO7a7uzt70x15ceMealV054PH2vDm5gNM/vZLcvIuf9Hw9mBf5j0Qjjk9hbRLF4psLGVZUdZQiodqWPqphmWD6lj6FWcN/5oHr+eWDcRVqlRh27ZteHp6YjAYqFevHlarlVGjRtG8efOrwmt2djbOzs4AODk5XbPdYrHkC79OTk721wAWi6XA43N0dLzqLnVhy8jIICYmhuDg4Bsa2424mGPjlUXfA7C09+30X/UzB+Ivh14Ho4Hu9QNp5Wdh097jPNjyNqoFVdGd4htQHDWUoqUaln6qYdmgOpZ+xV3DI0eOFLjvLRuIAby8vPK9r1mzJllZWfj6+pKUlJSvLSkpyT7dwd/f/5rtvr6++Pv7A5CYmEhgYKD9NYCvr2+Bx2YwGHBxcbmh67lZFoulyM6VciGdfXEp3Fm7EjtPnbOH4XtDKjGrXU2yN3yC9cOvMTg6kpfyKMY778SpgNNK5L+KsoZSPFTD0k81LBtUx9KvuGpY0OkScAt/qe6nn34iIiIi3zyTgwcP4uXlRdOmTdm5c6f9TqXNZuOPP/4gNDQUgNDQUHbs2GHf7+zZs5w9e5bQ0FD8/f0JCAjI175jxw4CAgIKPH+4LDEaDBgM0PW2QNbsigHgrlp+zGnkSXK7cFJe+g8Xf9wERiPOKUlc+u5rsuPjS3bQIiIiIoXolg3EYWFhODk5MX78eI4dO8bmzZuZOnUqTz75JPfccw8XL17ktdde48iRI7z22mtkZGTQuXNnAHr37s1nn33GunXriI6OZvTo0bRr146goCB7+/Tp09m2bRvbtm1jxowZ9OvXryQvt8Q4ORi5s3ZlnB1MpGblAjCzXU2Set9P3sWLWOo35LZNP+PRtj3J69YQP3cWyR8sJzsujrz/Px9bREREpDS7ZadMuLm5sXjxYiZPnsyDDz6Iq6srjzzyCE8++SQGg4GFCxcyYcIE1q5dS0hICIsWLbLffg8LC+OVV15h9uzZXLhwgVatWjFp0iT7sSMjI0lOTmbIkCGYTCZ69uxJ//79S+hKS1YFFyem3tuU97cfJTzIB5PRgMPBfeQmJmIOqkr1t9/haL/eZMUcxzsykorDniMpN5FLaYdwNdfFkJWLyWjC19UZo7Hgv5oQERERuVXcsoEYoHbt2td9glyjRo345JNPrrtvjx496NGjxzXbTCYTUVFR+Z5eV57VquhGj0ZVMRkNvLX5IOy8/ICTSkOHc+qVCWTFHMf/lVfIvq81G+LXcltgN1KyKvLmR3sJ9nanT9PqpGfnYjIauPJ9OzcnB4wGA25OjjiabtlfRIiIiIjculMmpPi4mh1pUc2XYG83BrWqg827IphMuN3emovffY3ltvqYH+zClriNhAR04pP9Nu5ZtIX+zWtT1duNDQdOczD+Ag8t+5HP9sVyMiWN8V/sYtjHv/Ht7qOknDpNenyCVqcQERGRW5ICsQBgNBrwd7cQHliRwJ49MXl5kRMfDzYb3s8PZ9fF7Vgc3TCaqvLat9GMu6shv55IZMP+U7Ss5kv3pT8wtHVdYs6n0W7e19SyGHi1rhs1357MqYfu5dziBaTt3EHW6VNYc3JK+nJFRERE7BSIJR9XJwccPTzxjRyIg1cFAFyahhN34RiBPmHM+/k4ZpORbrcFMvunaIa1qcvYL3YSVsUbB5OBWT8e5OU2teh+djcJ7ZpBUiLVFyyG7GwSl77L2ZNnOBZ3jn2nk4m7mM6lLIVjERERKVm39BxiKRkOnp5UHvo82WdO41y3HmDDADgYPTmSlEpEtYr8eDSBPKuNat5u7I9LYeFDLZjzUzRuTg70q+1NfN/BuEW0pPLI/3CoS0dc+w/k9OPDGfLdIQ4lHALA0WSkV2g1pt3XFH93LbIuIiIiJUOBWK7JoYI3Jg9Pqs9/lwu//EJA09rkWVMJ8LSQkpHNpawcTEYDmbl5ANSq6M7O0+d4NLQq2aveA5uNgDHjOTbwCZzr1CXhwcfp9MHvWG02TEYDXetWYUiDQPzdLcQeS8Cplj9ers4le9EiIiJSLmnKhFyXwWTCpWEjvNvcSeOKrTl7fg+DW1XjcOIlwqp4k2e14exgwtnBRGZOHh7OZmq5OWI9uB9zYBC2vDyyT8TgNHwMz/9wFKvNhq+bM7/1b8e4Sxmk9Z3H3tDRnLp/Gqfe/obMxIslfckiIiJSDikQy98yWixYatbGw92fFjXvw8splTY1fDA7GKnp485He07Qp0l11u8/xSNhwSRm2zD6+WOuEkjmkcOXj1H3NnaePofBAJ8/1IKEoUv4c8T7pB6Nx2a1YansRerB00TP/ILMpEslfMUiIiJS3igQS4E4uXlSyasWNX2rMaVrY3LzclnVtw2f7o3lyRa1OZx0kceb1eSHk+dweHwguRcv4FixIgC51svLrd1ZuzKGX/8kafNBAPzuqEvnn8cS+mx9/F33UsG6k9xTx8lJTi6x6xQREZHyR3OIpcBMRhMWsxsWM3S5zYNzaVl8/+xd/Ho8iZfvaUx6Vg5Le9/OmYREvBs3xalmbUweHpgz0/F2MfN03SrEv7AcAL929Qh/5R6O9+lEbkKC/RwJc2ZQofuDVJs1H0cfn5K6VBERESlHdIdYbpq3qxOVPVzoEVqVRgEVaBLoQ+2K7tSuWZWqk6eSm3qJoMnTyFo8n2HNgvF1MZN+6vLd36ZTenD80fvyhWGThwfubduTl5JCwqJ55GVklNSliYiISDmiO8RSKFzN//2r5OzoAG7OWNq2JycxAec6IQxwc+V4DrhV98OzfiCZu38jNykJAJOnJ5Vfno5zo2Yk/HIY5zqBEFaTC7ngFBeP2QAYwMGnIgaTqYSuUERERMoqBWIpMgajEbN/Jcz+lXBOTsbV0YmUkd1I/ukg6b9+D4DR3Z0aH37FnhmbSXt7JXU/GMrS6DN0SzqH17e/kvXOPJyaRWB+YhA52eDk4oq7xYynxVzCVyciIiJlhQKxFAtHHx+8AEv7+uQkXcKw+/Kaw5VGvsSB+b+QuOVPGv8wgQ7rtrKscz1cJ0dx4buv8P3kK5YlG1n+2UHeal+ThuY8Mk/FYrqtMUk7TpARd5EKodXwqh+E2ccNo4PuIIuIiMiNUSCWYuXk407Vh1uS1dCFc2tW4ta+EyfGvEqNcQ/w6vYj+Lo6USX2T86t/wTvhct58XAG6w8n8HPf5hA1DMd2nbhAVX54dDx5mf997LOznyftNozGs2EQJrNjCV6hiIiIlDb6Up0UO6cKblhC6lCh+4Ok7DuFzWqj4oMRrNkXyzMN/MlZNAeTtzc5TSJYsfc0L7aqgcObk7ClnMcW2JjfX1htD8MGo4FKdzWkyn1NiJ69kSytYywiIiI3SIFYSoRjRV+qTp+J0WIBINdoICvXSoCLI9knT+DZoSMrDyXiYDTwYK2KXFi7Cp8nh7Fv2lf2YwT3bkGXbeMJ6exOJa9DhDxeG6tLDmlp58mz5pbUpYmIiEgpo0AsJcbR2wefVvUxOpow5VpxMTtwOi0Hc7VgjM4WkrOt+LtbyD5+DFtuLs6165G8/SgAtSLvoM6DNTjSKYLsuGO4D3mKA5WS+enkJxw+d5TTKRc5lZJK/KUMbDZbCV+piIiI3MoUiKVEObpbqD3oLpJW/UzfRlVZsD8ex6eHkXnkMO38LORarRicrqwocTnYOrhbqPt0G2IG9MLzgQcxDezN+pPLyTE4UNn7Pl788gI1Jn9O50Xfs2H/cQ4nJpKenYnNai25CxUREZFblr5UJyXK0d1Cg/E9ODBtAyMbB9Pt/34nNqAOlSoF0LKiMzl5VvIqVcHk4UH63p343VEPz9sqc27VEmy5ufiOGc36s6up6BaIs3MLbp+zCbPJxBdPtibAIwtr5ikqZTtxYfX/kbT/IA53d8HQqAk4OFDBzXJ5zWQREREp13SHWEqck487DcZ2J8DHje+eaMfBdEgb8yokxPFVn+Ys3p+Ax8hxJL8zm4Zj7sG7YWXStm7BLaIlCTnx5FqzqVqxHYM+3EVOno0vnmqFIXcL55J/p8oZA4fDm3Jh117SnhjM2DMOLN19ivj0HFbvjOG9bYeJSb7EhYxMTa0QEREppxSI5Zbg6GHB2c+Tyn6eDGwdQmC1KrhE3E6InyfP39kQ4wO9cOvdl+zt3+ATXh2jszOOlSpx0XYRo8GEg8mbfXEp3FO3MmZDLHEXDhHq0YyYB7pjuaszJx95miZLfqVrw2pcysqh5eyNJKZe4o6abpw9/zO7TnzCobjfyMxJIycvu6Q/DhERESlG+n2x3HJMRiP+7pdXn8DVCVfA5ulKVuRAjGmpWLNzqPhYf5LXfoCrwRUHoyMpGVkAPNemOieTPqZahdu4sHo11owM3Ea/SO81e3kotBox59OY+v1+3unVhNt8E/gxei2V3KrRzPsOcnbsJ27rR7g3a47ljjYYzGacXDwxGvRzo4iISFmmQCylgsFgwNnNFdxcATB17cbZt6ZSzTmIPGsuvm7OGAwQ4GnhVGISIa4NSN/8E5YGjdhzIYeUjGwGRNSiz4qfaFjZixZVHfjt6FdU9qhJcxoT064jziH1CFgwn5OZx8m6sBcftwacij9Lbp6BBpXcMTvYcHF0wsHoiMGokCwiIlJW6P/VpVRy9PWj7sbvSNu0mWa+7Tmfdox7QiqTkZOH2eRMnsGK0dmCo58/h1MyMRjAycFE/KVMht9Rg5NJP2LAQESFOzjetQvmKkH4LZrLF2fXkmF25UBiFVrP/YkzF1Kp5JZObNJW8pIucPqLP0g8cJSEuOMcjjvAyfPn+WDHUWZuPsCPR+OJv5RBnlazEBERKVV0h1hKLXNAFfzufwhvYx6XbGnMesCVD3bE0q56U2IzYmjatw/J09+kuoc5334NKnkSfeokAV61Sfv6O/LOn8d/zRQ2J3yOt2slzqRW4onVW/mofwsqmPdzMiGBxrTl595v0fKzYfyWtpHK2eFsOmZm3BdfkJ1npX4lLyyZ6diSnKhfpSJelf1xMOnnTRERkdJAgVhKNYcKFXAAnKmIZ04GT98egtEQzKaDC3Bo2g5bTjZNfSy4OzmSkZNHJXcLWXl5OJjMVDT5kv71EhwrVSavsjcXTydRu1I3HllxgNCACtT0zmHH8a10q/oMm8MnU//1B9mTtRmTyZEj5zwZtX4bTg5GPnuwMbddiiPn7QmYq1fHqVdvcjIukWexYDSbcXFxKemPSURERP6GbmFJmWF2tODn7oKPqxedGz7LCetJgj5ah/WHr1nerQGLtx1mRLvb+HjPWapUCMVqsGJwcsIcVJWUzKT/fwwvohMuMqR1dU6f+5lKnjVI/vEouWmZVOxYl5Mp0VTxbsUrX0cDsPr+RtRes5Bzve/H78mnca4azLH+j3LgjghOvjWDs0diqOhbiQtZVuIvZXApM6ckPyIRERG5Bt0hljLHYDDg5uxJo6AO5ORl49+7N3dYjVQPqkRceg4ZObkE+kRw6PRnBPZ5hIQXX8LV4fKqFlfWIq7h7UL8uXiqeTUg+etoXKv5kpIeD9gwO3pxIP4Cdf08aJCWQPLiBQRNmc6FrzeSuOQdXO+8G8/p81h2MIH2lYL580gSf549x9O3+ZJz5CA5/hVwrFWdNHLJw4OLWTYcjEacHIzkWm345qThaDCQY3YizeiIg8mEmxmMRnAwmjHqC30iIiKFSoFYyixHkxlHkxm83XAGPIGgjGwaVvLCaITwGt0xeadgMBrxMlbA0eQEtgyqeLpwITMHJ0dXrIY8TK5mrDm5mIz5/7k826gyufNfwejujluL24mNGomlYSi21+fQcsXvfPREW6I27CTQ1ZEptZw436sLPmvXsjN3N54XHNh51pVv/zzOkDZ1efGLnYwOD6T2qUMkHY4mt0dv3t1/nJ5NAnFxvMSJrJMEGmthPG/DejEbl7q+GN3M5OJAeq4BR6MRt9wsTDYrBjcXrAYwGUyQkYnB0RGD+fI8aoPBUPyFEBERucUpEEu54mkx42m58s5ClpM7tT/7gnP/9zHhHdpz6tyvjOnQiPe2nyaqfTgnk36h5eNdOPrOJjwcfHAwOpKRnUjTQG+quzmSeewInh06kvLF+stHHPsKD2+M5q46lfny4Bl2nEpmxRMRJLQJI3DxEn7L+g2Tg4W98e6M27iPDU924K4F37Dg7rpUX72QrNOxJI6ZwsMrt/P9oDs4FvcxbiYPQjLD2NZ3LnWjumJp409s+j7cbbfxztaT9K7uiXfsEazWdBzDw0i6dJBKxkqk/fADOQ3COWN2IxkzVSu4sjs2idY+7tiOxGNNTsWnoR8WX3dsFjN5ZhNGkwOZeUbyrEZczUaMhjyMBhOGjKzLt6idncmz2jA7mEqshiIiIoVNgVjKNSdHC1Sy4PvQo3gZ8nDL8SfQx5HTF1xxs1TFwfQ7eT42fO+oS8ySLdz22O2cSt7Cq507c/ZUMtUrVcbo6kbu+XMYXVzIqRnCzh9+ZUrXMB5f9TO9GwaSsXoZRhcXTI3qcSb2fVrWfobH1/3OgOa1mLclGncnRyKcc0h8Zz7+W3bS7uM9PN2iOkkXfuFSZjItfLrwXcsJ1J/8IGnN8ziaug13t7vpMnczmx8Nx/rcAJx6P0J8y2okJGwmLKs2xyLvwXvNBh7+5igj2t3G5mNnSE5JZ2INf3a0eZmGY7vgFWggZd16bAMjOXR2Hx6et3HmkpkzF7NoV7MC8eeOEWT0J/3HLWTXbsBZixcJaVlE+DiTu+UHXGvUwMHbh0wrZFUO5GIemB1M2Gw2XLJycTNADpBpcQIj5NrA+P9vUBswYLZacc7IwWgErIABjBYHrM42jCYHLmRefkiLkykXB6MNo8GB7DwTJqMBk9FIntWGxdGku94iIvKvKRCL8N/VKqpQkcycNF5oW4lsq4FWtfsTk7ydsOWPc3jSRqqcCsEQZCLXfApbYFXMTz5L1jvz8HnoYS5U8ObsxXQA3J0dib+UyR3+LuQu+gbXZi04nXEck8GBzFwzZy9mcE/dALq88x3DmlcnZ/F8nOvdxoF0G8lpWTzWNIjfjv4f9Sq04PDULzGaHfC/vyGfxy6kZe1nuGvhdvo2qoLDewvIiIvD2K4FO06toXu1JzgW0QL3SdMZ8kssvm7OnLmYwbLtR9nd7w62NRtH3SF3Ysk4RML0tfitWsoXsR/QrGY//rPhOA0re9C9vo29J77ndscWHHukEz4rP+WJn07xaF1os+9H4tesoPrcBZyMGo3r+EksSDTidOYEdf08+XBXDG80q8mhlz8kaMz9LIxJpIqvB37uzvx0LIG+4TVYsu0II0KrcW7ht1QI9sWjTmUSfo6m6tOtOZl8CE+v2/j2z3MEe7sQ6JlNasYJfD3C2HQ0mdv8fYi/lImBbJoEunM66wy+bpW5mJmMi9mDXGsOXErHPc+ZzP0HMDduQJbFQI7BEZvBE6MN3DMuYQKMrrkYzAaybU5cynHGweiA5dIFHB1MpJrM5JgcMDmYyMyxEVgzhHPZNi5ZM3DOtWLOzMHo5IA1Ow+jowlbrvVyoDebsOXZMDo7YrABJgMmswM2mw2jyYTNatVDXUREbkEKxCJ/4ezoirPjlXeueLu0Jzsvk9A3ekNGHhVygzB6O5FhzcHVuy0nlr+LS1g4NqsVf/fLS6zl5FlxNTuQY7VdnsNrNGDFhsFoJDsvDwBHk5HM3DwCLSbyTsVi9q/Mn+czMBjAZMwjz5pDJXN1tn76KYE9m3MsYw+uTl7EXYLTF9J56jY/Lj33Ln4TJrAvdReVPWuSvukHbDk5mNq04/NFP/PpE+15/rPtPB5ajbOLN2HLsxL8UBP+bN+Eah9+yK9J3+LvWYON0Rf58Vgi0+4NYcuhuXQO7M2JTvfh0jeS1/af53xWDu3yzpE0biT1Nv3Ckb6P4PLMc0w9lUd0SjrPtgrgidW/sPPxtuxq9wp1Fz/NsO1H8fdyparRwIQvd7O09+10WfQ9Pz7WmqOPzCLgnsZYs3PZ/eJamn4UybenlxNe8wl6LtvBmA51MLOHmIREKnp1ptPCLazsewfPrNvK6Pa1CHQ/weG4RGr7h/Pjn2u4vXYPfjnyCc0qtCF95kLSrDYsLzzNlrj/o2HVnsz9KZb2/uep/+d2ck5GU6H/3aTELcTg8yrzf42lQyUvgv/cxcXEOFI6dGPJoWQGtKjNx3tP0raGPyfOp5FxMZ1ulbyI/3I3Qfc05uzXu/C9vS4X/zwDGPCsG0Dir39SuWNDkrcfxb1WJax5VnIupuNe05/ELYfwalgVg7MDWMHZz4Ocixk4uluwZudiMBowmAxYc6w4uJjJy8rB6OgABgMYuBykjQbIs2JwNGHLzgWTCWw2MBgwmozYcvMwOjuQl56N0eLE/2vvvuOjqvLH/7+mZ9J7D6kkhBaS0HuXXsQOUnQtWHDVVRfUtWFFBRQbIgqKgghSBEF6Cz2QRoAkpPfeps/c3x83RFlX3c/vu4rIeT4eeYy5c2fuGU8O837f0xwmCwqtSr4D73Cg0KpxmKyonLXYWy0odWokuwOQUKhVOKx2VDoNdpNVDvTtDlAoUCgVSHYHSq0akECpRKlS4rDZUem1SFY7Sq1aTgwAtYvuD261giAI/29EQCwIv0Gl0qBXaUALeP543AXADaI/W0Pz0RQiP1hBbVkhXQI92ZhexPSkSLYWNzNoys0Ylr1NsC6MNPsRfJw16DUqLlY30TPUh0KDDVV4FJa0VDq4aZEkUCrkMbpKFEg2O/owT2odDeg1ruTXtQLgJNlpbmpCGx9PreEk4Z6dMR3ajCYklHOVjUgS+LrquFTbwuB+sdTtTCNwRFeadm1DqdWijouhrugI0QHjuGdjBrN7RVBafwJ3vR9cKsFSWoL3zXewauUxVo7pjOm1x3AbPBRDWirWygo0N4zno+UprJ81mGe+P8uM7uFUfrIPlYuO+kBPvt+TScq8sYxZvpvnRiew8IcMBkT4Yt6bSfPFcjqsuI+dfZ9hwM7HSKnZQqBXFz5MKaLVbKNLgIITeUcZFPcw/d89wj+GdeH1PZm4aNV08jORVnSQcd3n8n36hwyOu42UnI0EOAVjXbOJ5m3bCduzg21FX9ArejZ3r8tgUJA78Ye3Ydy6Ef81L1NSMQW3qBOMW3mBx5NCCF27HEtZKQWPPMc9G9PYfNcwbvx0P8tu7MOHKRcJ0qmZq1GR/c+v6P3+3eyf9AaDvppH6pNrCJ2YjGR3kL/qAN1fvIUDU99iwJqHOfPUGqLnDKXpfBnZi7aS9NZMTj+6isTX7iB/zWE84kNQu+ioOnyemLuHk/X6Zro/fzPZi78jeEwithYTDRlFRN45mEurDhBzzwjy1xwi+IYEGjKLsRss+PWPpXjLKaJnD6XgqyOETu5JTcpFnIK8UOs11KcXETohiaINxwm/tT8lW07jPyiO5pwK7CYrXokRlO/OIPymvhRvOknQ6O7UnylA5+eG2tmJhnPFBI3oRtG3JwgZl0jzpUq0Hs5o3PU0Zpfi3z+O6pSL+PbrSH1aISonLR6dgmkpqMY9Lpimi+U4h3jhMNuQJAmdjxuG0jpcwnwwN7SicXXCYbGBQ0LtrsfaZETn5YqlsRW1S9tzSgVKjRqHyYLazQlro5xE2AwmlBo1kgKwOVA5abCZrGhcdFhbTKh0GjmBkECpURIXEAH1JoyNZiS7BEhyLqGUEw4kUKiVOKx2FGoVOOQxPgoF8l1/nRqH0YLSSSufo+CKRMFutqLUauTkRqX8yXNyoqFUq3HY7SgUcuIj2SW5R8HmQKGWew9wICcpNjtKvVZ+1Mi/A6icNDhsDlRatfyeGhUOm73tM8hDhxQKBZIkXfH4V6FQKHBycvpLfSbhz0MExILw/0jj44vX2PHY6uvQOyRWR9uY9HkK3941jFtXH0R98wSkpYtQFlfh4xZCecMZ7ukbzfKjF5k3OJ4ntpzmgbvn0jC0V/smIlkVzXi7BFNjLcN/eBdMpY24KP2pt1YS5tk2K1AtN1/JaEDr4oQNG0pPDySLBWeN/Jyy7YtDQr7DqPNxxV5xHpWHJ0ZzEwBatQuF9a10CXShyVCKu94X4w8nUDo7U2u2YbY56BHoRvPRIwT/8xkatm/DpUcS+wvrcEgSIR7OZFc2smxoZyqe+IKgaX1Yfr6MWD938uuaaTJZGRjlzz+2nmLdxGQqH11N8LhESracRu3ujDbKg4aSSjqH3sSK40d4emQnSutS8HUN5UxpC/VGCyM6BrJg2xk2zO5DQfX3RPh2p6AmA63aGZVSQ11rGQN9RlPw3n34PfkU6U2ncNf7UNKo4khBDZ+OiqXmnheJXPUhNY3P4uwxlm8ymylvNjLUW03lh+/if/AUczaf475+HVl84ByBbnrqjWa+O1dC9t+Gc6LHU/RdeT8nH1pJ0MhulGw5TWtBNT69otkzciGjDj7PoVuW0PH+kVx8byc4JBRKBdlvbuWGYwvZP/ENuj47jYvv/4DdbMW3b0fO/vNLhm77J3tGvMTgjY9zYu4KAoZ2obWgmqL1x+j1/t3sG/86I3bO5+js9+n06DgKvjqCrcVE+K39OXbXBwza+A/2T3idfqsfJOPFDfj1i6U1v4qK3Rl0/dc0Dkx9i6FbnuDI7e+Q8Mpt5Hy0G62XK759Yjj50Kf0XX4P+8a9xqD1j3LmyTWE39yXupOXaLpQRsy9I9g/eRFDvv0Hx+9dTtcFUyj9LhXJaid4bA9SZr1Pn4/u4eCNb5P01gwqfsig5uhFfHpGceyuD0hePIvj935M8lt3kvPRbjy6hOLk507Oh7uIe/AGjj+2muS3ZpL56iYibutP0/kyLI0G/Ad3Iu+TfXR7dhrpz62n69NTyf1kL34D4rA1m2g4V0LELf3IXrKdhBduJvOVb4mdO5rS71JRe+jx6taBwq+P0vmJSZx/53s63j+S4o0n8Ooejt1kpfFcCWFTe5O3ch9x88aS+8keQsYl0ZpfhaXRgF+/WIq3nibqzsFcWn2ADjf2of5MPgqNGve4IKqPXCB0Uk+Kvz1B6OReVOzOwKNLKLYWEy35VQSN7k75rnRCxiVRsScT7+RIDMW1OKw23ONCqD56geDRCVTszcSvfxyNF8rQuOjQ+bnTmFWC34A4ak7k4JMcTWN2CTpvN9RuTrQW1+LZJZT6MwV4J0VSn1mMawdfbAYLDrMVfYgXTRfL8ewaRn1aIR7xIRhK6tB46FGq1ZhqmnCLCqAhqxjPLmE0X6rEOcgLq8EMdgc6HzdaS2pxiwqg6WIZrpH+GCsa0Lo7gxKsTUacQ31oya/GNdKP1qIa9P4eWJoNKJUqNO56TDVNOIfI57h08JZf7+GCw25HstjR+rhiLKvHOdRHfn2ABzajGYVKhcpJg7XJiJOfO8ayepwCPbDUtqBycQKHA4fdQQc3H1ozSrH7e2CqbETr7YLdZEGhUsm9HEYLWk9nLPWtaDydsRksKNUqUCqQrHbUzlpsBgtqVydsLSZUejmJQaFAqVXjsNhQ67U/SXCsKJRKOfmwO1Cq2x5VSiTJgZyRSfI/siple7v/KckhyYkVbSv9tL2EtqRJoVTI51x+XdtwK+wSiraeH5QKOYGT/2GXr6NWIlkdKFTK9mRLvpDc4yPZ7HJCZrajUCtBkuTLtvcGqbAbrSh1WhxWK4rLu6s6JBQaFQ6zDZVei91gRqnTtJVDKV/Dbkep02A3WOQeJ6OlfcgYINeFxSonkAYLKr0Gu9kKSgVRPiEoLA74k+1ZJQazCcL/gEKlQuPrh9bfn/gQPw4+NJpt54r5etZgvilpxXfzDzS8/xGDvUfTaCjgwQFBBLvrsNodzOgZyf5GBx5/f5KWd95k5bjOvLo3l7jg8eS0pNLpmfGUfnuKKH13Wsx1hHmqCXBz4mBpI+5DR9D81ddEu8RT2nAR9zunYykqpKO7FledmtSSWoZEB7CjtA6fyckYyurRRMZhb2xAr3NvK70DvUZFi9mOVq3H5rCg8vZCsljQa+WxIza7hFKnA6USyW5HodFgbOset7et3azXqLC1mFC4OtFkseKmU1NnsMivdziQJPDQaTDXNOPk70FrYTVOfm60mhrayqGi0WQlwltPi6kWd70vKQUN+DjrKG004JAkOvq6UtdahrdLEBWNl/B2CaSqqVBeCaO5FXtjI64jhlPSeIEA9y6sOFZMj2AvrKeOIZnN6BM6Y2o9id31bj44WsbUzsFY1nyKNjyCApua6hYT4zuHsiG9iDt7RrHiWC6j44Kp23YGpU6DSwdf6s8UEHHHQPI+2UfkzMHkrtiLV2IELflVmKsaCRmfROG6o8TcN5LzS78neHwSFXuzsBsteCdFUrT+GLFzR5Hx4gai5gwl54MfcIsJxFTdRENaIRG39yfrtc3EPnQD6f/6mqBRXSnflYGlrgW3mCAKvjhMp0fGcfqRVUTfM4LsN7fiFhNIa0E1NUdzCJ2UTMaLG4h/YiKnHlpJ+M19yV25D6VOTpJKvj1Jx3tHcOrhT4l/bDypT3xBwNDOVOzOoOVSFZ7dOpD91nd0fnISR2d/QMzdwzm/ZJscSLSayV99iNgHRpNy53t0e/ZGjt+zHN++MTRll1Gy5RRhN/bm6OwPSHx9OodvXUKHaX3I+3Q/huJa3GODOP3Y53T55xQOTHmTzv+YyOm/r8I52Ium82UUfn2UkPFJHLntHbo/dxMHp71N+K39OPfGFhwWG3ajlfOLtxFz1zAOTF5E1/lTODJjGf4DO5H/5WEasorx6h7Osbs/ar9Gh2l9yHhhA5LNgbGsnovv/0DY1N7sn7SIuIfHcHTme3h1C6f0u1Qq9mbhER/C0bs+JOrOwRyY+AYh4xLJfnMrrYXy5j1nF6wlcHhX9k98g9BJPTl294fog70o3Xqa4o0n8OgcSsqM9wgalcDBqW/inRjBudc205xTgbXBwNkFX+HTM4YDU9/Cb0Anjt/3MQqFgsp958j9aDf6IE9S7lyGV/cIDt+2FCc/D3JX7KFyTybmykZSH/8c5zBfDt68GLeoAE49ugprYysl353m0sr9OMw2jv3tI1zD/UiZsQydtyuZL26kMauY2mO5ZL60AY2LjpSZ7+Ec6MmJ+1cgmW3krdhL6XeptORUkPr452jcnEmZ+R5aDxdSn/gCQ3EdpZtPk/PhLiy1zZy4fwUaVz1H53yAUqEk67XN1J7Mo3LvObJe3YTDZObY3R+hdnbixNwV2JpMXHz/B8q2naH+bCGpT65BoVBw7N7lICk4O/8rWnIrKPzyCLkf76G1qIZT8z5DckicfGAFNoOFzIUbqDmWS/mONLJe3YSlrplT8z7DYbZz+pHPMJXWcfGDHyj65ji1J/NIe2YdlppmTj3yGdYGA+n/+pr6tEIKvjxC7vI9NGQWc/qxz7HUG0h9bDXG0nqy3/qOir1ZlG45TebL39JaWMuZf36JsaKRs/O/ojG7lNwPd1O4NoWqA+dJf+EbDEW1pD75BaayejJf2kDtqTzyvzhE7vLd1KXmk/bsWozlDaTN/4rWohqyF22lfGca5d+f5cKS7TRfrCD9X19jKm8g/YVvaLpYTu77uyjeeIKqg9mce2MrrQU18jkVDWS+/C31aYXkrz5E/heHqD2VR8aLGzCWN5D50gZai2q4sPR7KvdlUfZ9GheWfU/LpSqyXt+MqayBc69vpim7lPzVhyjZcpra4xe5sPR7DIU1ZL26GUNpHecXb6fu9CWKvz1BwdoUGjKKyV68HWNpHdlvbqG1sIacD3ZRffQiZdvPkPfJXppzKslesg1jeQPnF2+jOaeCgs8PUb4rneqUixyd+T5bIuexO3EB6fPX0lpUg91q/yO+ov8r121AbDabWbBgAT179mTgwIGsXLnyahdJ+IvQ6TRE+Ljz+NAuBLs5MT0pHE1YB4KWvI9W0jE4cCLeGiVvTIijd5gnI2ODSIyPwjTjHtxvvo2kvDO8M7wjey4a6BY2jVr3Gnq8N4PaXTl09RlEftU+Vt3ekzdTy3B+6Q2adu0kXBeJSqGmycWGx6QpmD5bzr8GRPPBkYssGNmNb7JK8J8+iLozBbgOHIbkcGDLvoi3SzDVTZnckRjOurRy/NyTqGoqxG30aCSHA21NBRHermy5VIvb5GkYUk/hPmQYxgvZ9A/xBMAhSXg4acioaca7VzSm7BL6+rlT1GCgk78HAHaHhJtOQ26jAc8uoZiqG3Hp4IulvhW91g0ABfKqEdUtFvRaN2x2C97OGkw2Oy5tgblDAgXynRmVUo1DcqBUKJHaxrXKb6SUN1hRaGk0WXHRqnHU1wMgSTYAlCoPqlpM+OtUUFGK2tOL8mZT++ex2B0EuOkpqG8h1F2PLasYJ393WgurAVA7azHXNuMa5U9DRhHuccHUnc5H6+WKsbweyWbHLTqA+jMF+A2Io+z7M/j0jqFiTwYKpQKNuzOGohqCRnWnaMMJgm5IoHjDcTwTwqlLzcdhtuLTM4qqg9l0mNaH/M8PEjIxmaKvj+LcwRdzfQumqkaCb0igZNNJwm8fwKXP9hN0Q3dKtpxG465H46anOaeCsJv6UPDFYSJuH8ClT/fjNzie6iMXkOwOPLuGUXM0h8g7B5H78R75nNUH8ezWgZb8Kix1LYROSqb4m+NE/224HExO6UnxplNovVzQuOlpyCgi+q7hXHh3B9F3Dyfn/R/wTo6kObcCY3kDQaO6UbDmMB0fGE3mK5uIuL0/BV8eRuvpjFKnoeZYDpF3Dib77W10vH8UWa9tImhMAhV7MnGYrLjFBFL6XSox94wk65VviblnBOeXbMe7VzQNWcUYSurwGxRP/upDxD08hvRnvyZi+kDyPz+ExtUJpVpJ1b4somYOJvPlb4l9cDTpz68neIx8F9dc04xXQjh5K/bS6ZGxnHpkFdF3DeP829/hEu6LubqJit0ZRM4cTOrjn9P5yUmcmvcZIROTKPjqCHaDGZ2vG3mf7KPzExM5NucDYh+6gbRn1uKZEE7tqUvUnMgjeGwPUp9YQ7dnp3F05jIi7xjAhXe/R6lRoVAqyF2+m06PjufI7e/QZcFUTsxdgV//WKoOnKPu1CV8+8dx+u+rSHjxFg7d9DZxD4wm44Vv0Ad60lpUS/H644Tf1p9jcz6gx8u3c/i2pYTf0o+LH/zQNh5dxfnF24j/x0QO3byE7s9N49jfPpL/PrefoT69CM9uYaQ+/jndX7iZgze+Rfyj4znzxBe4RvjRlF1K8aaThE3uxdFZ75P46u0cmvY2UTMHk714m9zOTVYuvreTjveO4NAtS0l46VZSZrxL8JgeFHx1RL4jHORJ2tNr6fbMjRyc+iZdnpzEqYdX4hEXTHVKDhV7MgkY3pVjcz4g4cVbODj1LaLvHk76c1+jdnHCVNFA7oq9RM0awsEb36b7czdx+LalhIxLJO+z/RiKanEK9OTMU18S/+h49k9aRPxj4zkxdwVuHYOoOnieit3p+PaN4ejsD9rLETlzCBkvfgOAsbyeix/sIurOQRyY9Abxj00gZfq7+A+KJ3/1QZpzytH6uHLmyTXE3jeS/RNeJ/b+0ZyYuwKXcD+q9mdTsSsDr8RIjs1+n06PjOfApEWE39aftGfWgQSm6iYuLNtJ8LgkDkx5k7gHb+DwbUsJGNyZi+/tpLW4FqVGRfqzXxN+W3/2j3+NjveM4OicD/CMD6H42xPUHL2ISwcfTty/go73jmT/+NfoMK0PZ//5JUq1kuacCnI/2k3gyO4cnPomUXcO5vBtS/DpHUPOh7toyq0ASeLs0+sImZDMvvGvE3nHAI7/bTku4b6Ubj9Dxe4MnEO8OXHfcjpM68O+ca8ROrEnqf/4HJWThtrjuRSsOYx3chSHb19K+E39ODhlEf6DOpG9aCumykZMVY0cnPImlfuycFhsWJuM5C3fw7buT9KSU/47fyP/967bgPiNN94gMzOTVatW8dxzz7Fs2TJ27NhxtYsl/IW46DS4axSU513ETQWugQHoIyJw9Q/F2zOUSN8Q4gN9GBUbTPdgL7rFReA3dBghEyeQEOjBbV064OMSTEhwd4JGJxA+oRfR+gQ6e/fCS1fIF9N7srFWwn/bPuqWLGOk/2SKLEV4vf4iWhcd0+yV3JsQzM7zpXwxYyALT+WR9P18Ctan0uGdT6he+DL9fUdSVp/Gk8NjyK1pxqHwx9PZn2JLIb4PP4xl8WssHt6RZanFOD/6T5oOHcB9+Agkmw234lx6hfmw5lQ+9/TryNIzBQQ/MYmy785wY0wgzSYrDUYzXQM9WXumgFm9onkvrZCAR8ZRtv0soZN7YqlrgWorrjovqpsyuCMxnE9PFhPo2ZvyxjymdQ+mqW2762B3PbsvVhHiFU95Qx4dvDtT01xMsGdHJMmB3VmD2j8Aw4kTBLlHYbZW06eDJ3m1LWgTkuRKsShQKF2QrAV08vegoMUKcV2wVpQT7e0CyEvCOalVVLeY6ODpQoPZijLYC2uDAV1bgI8kodRpsLWY0Xq7YjOY0bg5YbfYUOnlCWWSQ+62RHH5v5U4LHa5e7PtrohSK4+NVWrV2I0W1C46LI3ySiWXz9G46zHXNKNx02OubUbr5YKpsrH9Gg6rHV1bN7TOxw1jeT1ab1eMFQ3yNdTynXudnzuGkjqc/N1pKahG4+6Mqbpt2IynC8ayevTBXrTkVaIP8aI5txKlRoWt1YzDape72tOLcOsYRP2ZfFyjA2jIKALkBMFU0YB3ciSV+87h0yuGij2ZcsKQWYxkd+Aa6U9DWiF+AztRtu0M/oPjKdt2BqdAT0yVDdiajfj0iqZybxaBw7tSvOkkvgNiKduRhspZB5KEqbKRgGFdKNl0Uh62sukUPr2iqDpwDiQJfZAXTRfKCJ2YROG6FILHJ1L49TE8uoTJ466NFnySo6g+dJ6wKb0oWHOY4AmJFK0/hj7YC5vBjKmigeCxPSjeeIKIOwaQt3I/gSO7Uf5DOiqdGudgLxoyioi4tT+XVh0kYvog8lbuw6d3NPXpRdhaTPj1j6VidyZRs4eQu3w3Ebf1J//zQ7hFB2BtMmAoqSNkUk+Kvj5G9N3DuPj+D4RMTKZ0WypqVyec/NypT80ncuYQcj7aTfTdw7n4/k78h8RTe+qS/Dn6dKTs+7PE3DOCC+98T+SsweR+shePLqEYy+sxltUTPC6RwrVH6XjfSLIXbyf8tv4UrjuKk787CrWKhvQiIu4YQO6KvXS8byTnF28nZGIS5TvTUKqUcnB3MJuoOcO48M4O+Vrv7sBvYBx1qflYGg349ouleONJYu4dwblFW4maPYScj/fg3ikYU2UDLfnVhExIIn/VAWLnjiLr9S2E39qPwnUpaL1c5KDqRB4R0wfKwfTcUZx7fTPB4xIp353R/rdTsSuDmLuHc27RVjreO4LzS7fLY9fTCzFVNuI3KJ6CNUeIfWAUmS9tIGrWEHI/2YdLBx+szUYa0grpMK03F9/bSexDY8h4YQPhN/ehaMNxFGoVOi8XKnZlED17KOde29yWnG3Gf0g8NSkXMFU34Z0YISd3c0eT/uzXxNw9jPNLt+PROZSWgiqasksJHpPAxWU7iH34BtIWrCXijoFcWrkPrbcLDpud6oPZRN45iMyXNsoJ3L/WETJBHkJmN9vQB3q29+KcXbCWjnNHkfnyRvwGdqL6yAUMpfV4J0VyaeV+Yh8aw5knvyTm7mFcWLod1+gAWktqqT15idApvch6dROdHhtP6mOrCbupD/mfH0KhUqLSaynZdJKYu4Zx5qkv6fTIWM7O/5Kg0d0p3X4WU3UT7h2DyPt4L53mjeXUw5/Sce5oMhduxDs5krrTl2jMLsNvQJycZD0+gRNzPyF61hAuLN2OPsQbU2Ujlfuy6DCtN+nPrPuP35G2ZiMps95v/3foarsuA2KDwcD69et5+umn6dKlC6NGjeJvf/sba9asudpFE65jCoUCrVqFxtsHja8f3t4e+Lg64aF3x9ndA+dAb7wiQgkL7kzXkF7E+roxs39HdDEd8X3meZx0nvQKHIGLbzD+j/2DoN49mZMQyuOD4ujq786zY3qgjPQj5IGx6PsMJOLDz7Bs2sGokJswtWZz6MEhfHaihI5BN1OPEe0903EdOZzOZw7y0Q3xvJFVg/+mXVSuWE7HtRsxvf0Ka8fGcbK4hjGdQojzd+eYUkH0v6ZR9PK3bL65L6/vyWL5Lf3Yeb6MO5Ii8dBryXLREnbfSIo2nqD7wls59+xm+vpNoLj2NE8Nj6Gy2UiL1Qsf1w60mvK5t18U7x85z8JxiSw9lEek/zAqmvLxdw9Hq9ZT11pOuE9XzrWmE/D009QuXUp3914U12Uyo2cYVS0myvSeOMXGUbv6azw87oTGZTw1NIhN50rR3XwH1uoqfJtqiPZxY0tWMbf0CGdNaj5zesfwfXYZvrf2x1zbDA4Hzh18KfkulfBb+lL8rRw0Ve0/R/D4JGzNRhRKBU6BnlTuyyJ0cjK1J/MIHNGVhoxi/AbGtY3dU6N2daIhowjfAXE0nivGp08MLZeq8EoIl/8elApUei2thTV4dA6ltagaj/gQjGX1uEUFyH80koTaRYexrB7XqACM5fW4RvpjrmnGOcQbAIfFhsbTBVNFAy4Rfpirm3Hp4Iu12YiTr3x33tZiQufjhqWuBX2wl3znPsgTR9uYSwBbqwmtp4sc/Hs4YzdYULvr28sKINnsKDTyyhf/Po6y/e9cqZAnkCkVOOx2lGqlPIaz7fNcHv94eXKaw2JrO0dOjC4nFEqtGrvJglKjxm6yyiu5tL2PykmLtdGA2sUJS0MrKmctloYrEw21mx5LXStad2dMNU1oPX9MNJDaEg1feRKgU4A8xEfrLfcAAKj0WqwNregDPWgtqMY51IfmnArUbnrMNU1ygB7gSculKlzCfWnMLsElwo/Gc6WgkMvqsNhwiw6k/mwhbrFB1KXmy4lDZrF8DZ0ac00zHp1DqD2Wi0fnUGqO5+Ac5kPjuRKQJHTerrQWVMt3+1Mu4tm9AzVHLqDzc6e1uAbJZm9PRry6d6Dq4Dk8u4dTffiC/BmaTdhaTHj1iKDqwDm8k6Ko3H8Oj66h1By92F4OU1UjPr2iqNiTiU/PaCr2ZuLeVub2cuRXyT0huzPx7RND+a4MXDr40HShDIfVjku4Hw1phfj2i6V8Rxq+fTtStiMNnY8bpuombC0mvJMiqdybJSdO28/g3SuKyr2ZKDXyOGBzdRP+g+Mp3ZqK/+DOlH6XildCB6qPXABJwsnfg+acCgJHyIlT4PCulGw6hXunYOozinBYbHK5T18icFR3ijeeIHCknIA5h8pjnq1NRvwHxlG+46w8BGr9MQKGyddSu+lRKMBYVk/QmB4UbzhByIQkitYdxbdfLBX7sgBwDvam6UIZIZOSKfjqCCETkylcmyL3Ap0pwG604JUQTs3RHMKm9CJ/zWFCJiRRuP5oW2Bbh7XRgN/ATpTvTCdsai8KvjxC8JgEir89ic7PHYfVhrG8nuCxPSj65jgdbupLwReHCRjWmfIf0lFqVDgHe9GYVUL4TX25tPog4bf0I3/1QXx6x1BzIk8uR2IkNUdzCL+1H5c+2y/3Sn15GPf4EFoKa7DUtxIwJJ7yHWeJuH0AeZ/uJ3RSMoVfH0Uf7IXdYsNYWkfw+CSKvjkuDylbuY+gGxIo3XYGySH94vdefWo+tlbTb39B/gGuy4D4/Pnz2Gw2EhMT248lJyeTlpaGw+G4iiUThP+Ok8YFJ60rXs4u+LnqcfPzwykwEL2XH856T/Ru3ugCg3AOCCDQy41IPw8ivF2J9HHDN8wHt5hQXLp0JmDOvejVrsR6dSfUQ8+LY7viqXejc+hoPAJj8Jo1h7BpUxkV5cOCkd1QxnbCZ8FzqMPCiV75Bb6N1Wya1BW9w8a8QfF07RhIy7gexC6YQoe8Sr6+sRc55XV8e9dQMsvreXNSMrjpMdwxALcJSbjHBdP58Yk0br7EsODbqWs6yZ65A9l1vpoAr7E4JCuPDQ6iTwdPalvNvDwukY+Pl9Mneg4ZJQcY2mk6RbXn6Bw8EKVGi3loD7zvvhvLph30CxhFef1x1s/sy6MH8/Fc/Q0Nm7/DjRkgqUkKqObm7oGsPFeFz+IPML64gPWTu/L1mQIeGtiJymYjIR56BkT6sb24lsgnJ5L99jaSl8zk0qqDxD08huacCtzjQnDrGETtiVz57tiHu+j23DRyl+8m/rEJlO9MJ2R8EnaDWQ48EiMo+CqF6LuGkbt8D53+Po7SLacJGZ+EpcGA3WjBo3MoRRtPEH57f/JW7qfj/SMp3ZpKyMRkrA2t2Axm3OOC5S+f6QO5tPog0X8bTsUP6QTdkIDdaMFU2YBH1zAK1qUQNXMw+WsOE33XUKoOZuM/OB6AppwKvJIi5XNmD6FwXQqRMwdTeyIP7+QoVHqtfE6PCIo3nyLijgGUfpdKh1v60pBeiHdiJConDYayetw7BVO5/xyhE5OpOnye4LE9aMmrlJeaU6swVtTjHhfcliB0o+50PgFDu2CsaMQ1KgCFWkVrYTWe3TtQn1aA/6B4GtKL8B8Uh7XJiNbbDZWThsbsUnz7daQhowi/AZ1oPFeCb5+Y9jvyahcdzbny52rOLce7R0R7wAjyXXW1m56WS1V4dAujtagGj04hGCsacI30B+SgWeOux1guHzNVNeEc5oOlvhWnQE9AHh6g8XTBVN2Ec2jbcwEe2FrNaD3l3gbr5USj0YDOzx1rkwGdjytIEqq2Md02gxmtp5xgaNz02IwWNG5OAO2TnBwWG2oXXdujvPrG5UTlcuLhsNhQOWnlBMJJg2S1o3KSz/n3pfMku6N9WT2lRl7RRrK3rXZx+bnLPRxtr7/8/06hUv74+NPE5/LKD23HpLYZYJL0k+faH2l7/vJMM9pO/JHics+KUr6ePH+h7ZyfTkZrW6XDYbW1lxHkSV12sw2FRtW+hKHDbGv/rEBbUmX9canBtp6ay+8jOSR59ZIWEyonbdujpj2Au5yEyYmFEZWzFmujEYVGja3VDIDaWYe1ySg/NhhQuzphqW9trzOg/ZjaWSc/ujrJvWfISSaShNrVCXNdC2o3J8z1LVeccznB0njoMVU3ofVwxlTV2P4aaEvgGg1ovVzkiY7erpgqGlBq1diajQBtCV/DT3qcXDGW1rW3Cckh/fhcW3Ko83VrPwdJwmGx4eTnhqGkrj2h/C3mmubfPOePcF0GxNXV1Xh5eaHVatuP+fr6YjabaWho+K/eQ5IkDAbD7/pjNMp/pEaj8Xe/lvi5PuvQrFRic3XDpnFCsqvQocBdrUCvUKB0qAENdjcPHG4euDtp8NIp0Xh6IPn4YPfzR9UtAe+QABLD/egT6kn3ADcGdgnBO8KXiClJ+Hs6c3OPCIJdtdyaEEa0lwsjYgJIjA3EvUso3kM64ZkUQeStA3HT+dDFdxBBrnr+MbwTQe4edPTvRYCbD3MHdOT2pHCGRvvz4MDOuDoF0KPDRLRqZ3pHTcRZ60aX4EH4hXTGdcZt+N06nQC7D8mB/UgMUrN+Vn92t6rw+fYH6tIK8VW+jKfdzsKRrgzr5s/Zzn3xWPQuXj9sYs/tyaRcLOGbWUM4W1rP/BFdUbg60XpTX/xmDqE+rYgBXzzEpS8OMXTLE5R+d5pe791FS34V4bf1xz0uGOwSXZ+dxqVVBxi88XFyPt7D4I2Pc37xNvp8dA/VKRcIndwTt46BtORV0v3FW8h6fTOD1v+drNc20/eT+yjdlkrHe0fKm3lo1O3jfPt8fC+Zr26i9/J7KP72BNF3DWtf3ivspj7krdxHz3dnk/XGVnotu4vSralE3DFA/uJrMRExfSC5n+wlefFMOcB/605KvztDh1v6odRpsDa0En5rP/I+2UviohlcWLqdHq/eRvH6Y0RMH4it1YxCqcRvcDwFXx6h85OTuPj+D3R95kbyPz9E9N3DaMmvxsnfA9foAMq+P0vkzEHkfrSHTo+PJ//zQ0TNGUpLbgVOvm64hPtStv0MEXcMIOej3cQ/Np7CL48QOWMgxtI6eWWHTsEUfXOMqNlDyflwF53+Po6iDScIm9oLS4MBa1uiUbguRe4q/3gvcQ/dQMmmU/LQnPpWrE0GPLt1oPCrI0TNGkzeyn3Ezh1F2fYzBI9LxNZsxFzfgkeX0PbEIP/zQ8TcM5yK3RkE35CA3WTFVNmIR9cwCr8+StSdgyj8KkVONA6dJ2BoZxQKaL5UhVdiBEXrjxE5czDFG08QOWMQdacu4dMrGpWThoasEnx6R1Oy5RQRtw+gbPsZwm/pS9O5Ejy7hqHSa2nMLsWndzRlO9IIm9aH8l0ZhE3pSWthDS7hfqhdnahLzcd/SDzlu9IJu7E3VQeyCRmfhLlWHmaj9Xal+vB5gsb0oGJvFqGTe1Fz9CKBo7rjsNiQ7A6cAjyo3J9FyKRk+XFiMvWp+fgP6gQKBdbGVpw7+MrvPSGJqkPZhIxLpOl8Gd5JkSiUCozlclJUffgCwWN7UHPkIsFje2AoqsE9NgilVk1zbgXeyVHUHs8laHR3ak/kEjiqG+baFvSBnqicdTRkFuM3II7aU5cIHNGN+jMF+A/pjMNsRaVTo/Fwpj41n4BhnalLzSdgWBcas0rw7dsRoP3Ofv3ZQvwHd5KTqoGdaM6rbO99sbaY0Id405hRhN+A2PbXG0rrcesYBAoF5rqWtjv7pfj0ipY/a6/otl4UbxQqJYaSWtzjQ2i6WI53UhTNF8vxTo7EYbaicXNq/8xeiRE058mJZWt+FZ7d5ORMoVSgcta19Qx1oCW/Eq9uHeQJqHHB7Z9H6+XSNuE1jNb8ajy7hGGqbGxP4GwtJpwCPDAU1uARH0JrcS3unYKxNBjQtyVw5roWnEO92z5jIIaSWtw6BsrJlZtersOyetxiAtqTQ7nnSb6GQq1CqVFhKKvHLfryOQGYKhtxCfe9HBihctZhrGjEJcIPY0XDj8/9Cp2f++/2HSdJv3x3+t8ppP/L2X8RmzZtYunSpezbt6/9WHFxMSNHjuTAgQMEBgb+6uszMjKwWCy/dzEFQfgNCoUClUqFw+FArVZjt9tRqVTt668qlUrUajUqlQqtkxMWu4SzTofK2CpvLqFXAnZMkgtWu4Q7dlRmIw4nZ5oUGjRqJTZJgU6lwOyQV9LQNpvRtC2JhBL5VpYDFErALiEpFSgcEhISCkm+GyVJoFQrkewOTNVNqPU6rM1GJLsDtYsOQ2kdbjGBNGSV4NkllMZzJXh0CqE+owj3mECaLpSh8XRBqVHRUlCNT3IUVUfOEzisK+U/pBEwtAvVR3Nwjw3EXNuCtdGAR+dQqg5nEzIuieItJwkdl0TF/iw8OodirW/F1mrBNcqPqkPnCZmYTPGG44RN60PpltP4DZTXKkaBvLJGeiG+fWIpWJdCx3tGkPvxHvmO8toUfPt0lIeTKOShCpUHs+Wxnq9tImHhrZyZ/xVdF0zl0qoD+A2Mw1haT0t+FR1u7su517eQ9OYMTj60kuTFs8h65VtCp/bCUFxHS0EV4Tf1IWPht/Radhcn7v+Y5MWzOL94G4Eju2Gpb6Uhs4ioWUNIe3otfZbfy/H7V9BzySwyF24k4o4B1J0pwNpoIHhsD7Je3UzvD+4mZdb79Ft5P2cXrCVq9hDqzxZiM5rxH9iJC+/sIHnJLFKmv8vAdY9w8qFP6fzkREo2n0Ln545LuB8FXx4m8Y0ZHLnjHYZsfoJjcz6g67M3UrL5FPpAT5wCPSlaf4zE1+/g0K1LGP79fA7f/g49Xrud/FUHcY0KQB/kSeHXR0l8YwaHbl7MiF1Pc3Dqm/R8dw4X3tmBZ7cO6HxcKdl6mu4v3sLhmxcz8sDz7J/wOj3fmS0vYdcpBCd/dwrXHyP57Znsn7SI0Qef4+CNb5Hwyu0UfHkYfZAX7p2CyV2+h76f3M++Ma8w8sDzHLrpbbo+e6M8BMBFh2/vGM69+R2D1j3C7hELGbn3WVLuXEbcvLFUp1zAYbERNDqB9OfWM3TLE+we9iLDvp/P8fs+JnrOUBqzSzGW1RN55yBOPfwpI3Y/w+5hLzJo4+Py+NWpvTHXNFOfVkCnx8ZzdNYHjDrwHLuHvcjAtfM4+/Q6gkZ2Q7I7qNx/ju4v3MShm5cwOuUl9ox4iT7L7+H84u149ghH6+lCyaaTJC+eyf6Ji7jh6EvsveEVkhfPJO+TfbhGB+AS5sOl1Qfps/xe9o55lRuOvsT+ca+R8PKtFH1zHK23C96JkVx4ZwcDvprHnuEvMurwixyYvIgu86dQuS8LhUqB34BOnHt9M4M3Ps7uoS8wYt+/OHLbO8Q+fAN1qflYGwyE3dibs//8kuE7F/DDwOfk/y/3fETE9EEYSmppzimn430jOTH3E0YdeI4fBvyLwd8+zulHVxMyMRlbi4ma47l0XTCFlBnLGJ3yEj8MfI5+qx4g69VN+PaJQe3qROmW0yQtnsnByYu44dhCdg97keQls7i06gAuEX64hvvJn3nFfey74RVuOLaQPaNeJvH1Oyhcl4LOzx2v7uFcfG8nA76cx54RLzHq0AscmLyIzk9NovrQeRw2O0GjE8h4cQPDvnuSHwY+x4jdz5By53vE3DuCpvOlGErriJw5mNN/X83Iff9iZ99nGLr1CU7N+4ywqb2xNLRSl5pP/OMTODbnA0anvMTOfs+2r6X973z7diRh9b2UNFT+bt8TWq2Wbt26/eZ512VA/P3337Nw4UKOHDnSfiwvL49x48Zx/PhxPD09f/X1GRkZSJJETEzM71pOo9FIQUEBERER6PX63/Vawu9D1OG1739dhwqFov3np8f+fTMFh92OUiVPalOqlEgWuxxkKxQ4bHK3tsNqa19TVKlRyVtJq+Ud5OT3VyBJDvmYVe4ud5jlrmGHVZ7gJwf2bWuj2iUUWnn9UaWTBofRgspJg91sk9cYbRt/e8WGD5K8FKvCIcmPEpgbWuWNMewO+Q6NUom9beyxqaoJvb87zZcqcQnzxVghryVrazGhUCpQ6jTy3a8IP5oulOMeF0RTbgUuId5YGgwo1ErULk4Yy+twjQqgMbsUj/gQms6XySuXNBpQOWlAkrA0yuOkG86V4NMzipojF9snYrlGBWCpb0GyS2i9XOQ7ed3DqTyYTdDIbpTvSsNvYCcaMopwDffHVNWIw2JDH+Ql3+Gf1JOijScIm9KL8t3p+PSMouVSNSq9BrWzjtrTlwib1JPCr48SMX0gReuPETwukaoD53AO9UGpVVOfXkjoBHksZtSsIeQs30X0nGEUfnUEn14xWJsMGMsb8O3XkfwvjxD/yFiyXt9M539MJG/VAQKGdMZQUtc22bAzeZ/up8tTk8l85Vs6PzGJS6v249e/E+aaJloLawgem0Dux3vpsmAq6c99TdcFU8ldsRf/wfGYa5ppzqskbEpPLi7bSfcXbubsM+voOn8KeZ/tx7dfLNYGA43ZpfJSeIu2kvT6HZxdsJYu86dwadUBvBIjQIKak3nEzBlK5sINJL15J2f++SVdnppM4dfy+FithzOVh7KJuWs4ac99Ta+ls0n9xxd0WTCFovXHcIn0Q+flSvmudOLmjePMk1/Q+/27SX1iDZ2fmEDx5lM4B3vhFOhJyZbTdHlqMqcf/1w+57HVdJk/maKNJ3AO8kIf6k3xtyfpumAqp+Z9Sp+P7+P03z+j81OTKd2Wis7LFdeYAArXptDtuZs4cf8K+n06l1N//4yuT99I0fpjOPl74BYbSP7nh0hYeCvH711O/1UPcvLhT+ny1CTKdqahdtLilRRJzke7SX5zBkfnfEj/1Q9w+tHVxM0bQ/XhCzhsdvwHx3N+6XZ6Lp5Fyqz36f/5Q6Q+tpqY+0ZS3zZRMWR8IpmvbKLPh3/jyPR36ffZA6Q9u44ON/fDUFJLS14lEdMHkrbgK/qunEvKncvos+I+Ml74htCJyZiqmmi6UEbknYM4u2At/Vbez6Fbl9B/9UNkvPANIeMTMdU005hZTMy9Izj999UM+Goeh29dQp+P7yP7ra34DYhDsjmoPnKBTo+N5+TcTxj49d85cvtSer47h9zle3CPC8bJ353iTSfp9tzNHJvzPoM3Pk7Kne+R8OptFH6Vgj7QE7fYIE7N++xnw2J0Pm6MOvICmlDP/9Od3P+L3NxcFAqFCIh/SWpqKjNmzCA9PR112+YGx44d47777uPMmTMolb8+kiQjIwPgv/of/P/CYDCQnZ1NfHw8zs5/shWshf+KqMNrn6jDa5fD7kCyO7BZrVSXV+EX5I/CLsk7vdnsP46NtTnats22oVDKE/rkBMPWnmhcHqf640YJSnksrO3HREOlb9ugwEkrrx7SNhYXpCsmAzpMNnnnO7P1is0cfvw6VrRvoqCQAKW8Wx4SSA47CrW8gYRKp24vo71t+29JAn6ye55ar8XaakbtrMNmNMubVDgkHA4JpVopj4V2lScfaj2csTQaUDvr2iYfSijU8uRFrbsec12LPPa0qhGthws2kwWlQoFCq8FuNKP1cMZY1Yje3wNTVRMaT2fsBnnTDaVGic1gkVdJqWhAH+iJsaoRnZcr5kYDKq0ahVKJrdWIk58HhpJanMN85aXaAj0x17Wg0mvbzjHh5OdOa1GNnDjlVuAS6oOpthmtmx6H3YHdYMbJz53mS1W4xwbRmF2CW0wQrUXV6HzdcZht2I1m9IGeNF+qxL1TCA0ZhXjEh9F0oRTnEB9sJguSzY7W3Zmm3Aq8uneg7tQlvHtGUZ9WhFu0P5YGQ/vY2uacCrx6hFNzPBffPh2pS72EW0ygPGa4bafGxotl+CRFUX3sIn79Yqk5loNH51CMFY0olAp0vm40nivBr29HKg9l4z8ontrjubh3CsZc14JktaMP9qIhvQjftmX5/AfHU5eaL69nXtmIJEnoAzyozyjGv7880S9oZDfK92Tg0zOalvxKVDotWk8X6jOLCBzahdKdaYSO7UHl/nN4JUXSWlCNUqtG5+NK3ZkCgkZ2o3TbGUImtm02kxSJoaQWyebANdKPmuO5BI1OoGTLKUInJcvnJEZgKKnDbrbh1jGQi+/uoPqIPJkzYvoA4h4cgy7AA6Xq9xu9+3+J167LgNhoNNKnTx9WrlxJz549AXjvvfc4evQoX3zxxW++XgTEwn9L1OG1T9ThtU/U4V+DyWSiuLiYsLAwnJycfpdrtPfQOBztvSCS1JaMWG0otGokiw2FRo1ktf24/rnDgULVtjqK9t+SqbaAT3LY289R6tRIbZP+HOa2RIu2bcLVSrn3R6uWe310KiRLWwLXtpW4vEtd2050FjsKjRrs8jnyhECHPCHRbkepknuIFBp56ccrtvyW2j6zSp6gqNT8mGTJ5yh/nKioVLRtzNRWLm1bL5VKdeU5trZVYCw2VFq13MPUNonTITkwGAy4Bnihd3X5Xerwp/4v8dp1uXWzXq9nypQpPP/887zyyitUVVWxcuVKXn311atdNEEQBEEQ/gOHw0FTU9PvuhrU5SD4pz3F7cODVG0T8S+v3qHS8u8ur9qh0qjbTtH8/CKXX69re2xbu/w/uhwz/kXyOIPBQFFZPvFB3le7KD9zXQbEAPPnz+f5559n1qxZuLq68vDDDzN69OirXSxBEARBEAThD3bdBsR6vZ7XX3+d119//WoXRRAEQRAEQbiKrst1iAVBEARBEAThMhEQC4IgCIIgCNc1ERALgiAIgiAI1zUREAuCIAiCIAjXNREQC4IgCIIgCNc1ERALgiAIgiAI1zUREAuCIAiCIAjXNREQC4IgCIIgCNc1ERALgiAIgiAI1zUREAuCIAiCIAjXNYUkSdLVLsS1JjU1FUmS0Gq1v+t1JEnCarWi0WhQKBS/67WE34eow2ufqMNrn6jDvwZRj9e+P7oOLRYLCoWCpKSk3zxX/buX5i/oj2qICoXidw+6hd+XqMNrn6jDa5+ow78GUY/Xvj+6DhUKxX8ds4k7xIIgCIIgCMJ1TYwhFgRBEARBEK5rIiAWBEEQBEEQrmsiIBYEQRAEQRCuayIgFgRBEARBEK5rIiAWBEEQBEEQrmsiIBYEQRAEQRCuayIgFgRBEARBEK5rIiAWBEEQBEEQrmsiIP6TMpvNLFiwgJ49ezJw4EBWrlx5tYsk/IZdu3YRFxd3xc+8efMAOHfuHDfffDMJCQlMmzaNzMzMq1xa4acsFgsTJkzg+PHj7ceKi4uZPXs2PXr0YNy4cRw+fPiK16SkpDBhwgQSEhKYOXMmxcXFf3SxhZ/4T3W4cOHCn7XJL774ov357777jpEjR5KQkMCDDz5IXV3d1Sj6da+yspJ58+bRu3dvBg0axKuvvorZbAZEO7yW/Fo9XgttUQTEf1JvvPEGmZmZrFq1iueee45ly5axY8eOq10s4Vfk5uYybNgwDh8+3P6zcOFCDAYD9957Lz179mTjxo0kJiZy3333YTAYrnaRBeTk87HHHiMnJ6f9mCRJPPjgg/j6+rJhwwYmT57MQw89RFlZGQBlZWU8+OCD3HjjjXzzzTd4e3vzwAMPIDb+vDr+Ux0C5OXl8fjjj1/RJqdNmwZAeno6Tz/9NA899BDr1q2jqamJ+fPnX43iX9ckSWLevHkYjUbWrFnD4sWL2bdvH0uWLBHt8Brya/UI10hblIQ/ndbWVqlbt27SsWPH2o+999570owZM65iqYTf8vjjj0tvvfXWz46vX79eGj58uORwOCRJkiSHwyGNGjVK2rBhwx9dROHf5OTkSJMmTZImTpwoxcbGtre5lJQUqUePHlJra2v7ubNmzZLeeecdSZIkacmSJVe0R4PBICUmJl7RZoU/xi/VoSRJ0qBBg6RDhw79x9c98cQT0lNPPdX+e1lZmRQXFycVFRX97mUWfpSbmyvFxsZK1dXV7ce2bt0qDRw4ULTDa8iv1aMkXRttUdwh/hM6f/48NpuNxMTE9mPJycmkpaXhcDiuYsmEX5OXl0dERMTPjqelpZGcnIxCoQBAoVCQlJTE2bNn/9gCCj9z4sQJ+vTpw7p16644npaWRufOnXF2dm4/lpyc3F5naWlp9OzZs/05vV5Ply5dRJ1eBb9Uhy0tLVRWVv7HNgk/r8OgoCCCg4NJS0v7PYsr/Bs/Pz9WrFiBr6/vFcdbWlpEO7yG/Fo9XittUf2HXk34r1RXV+Pl5YVWq20/5uvri9lspqGhAW9v76tYOuE/kSSJ/Px8Dh8+zEcffYTdbmfMmDHMmzeP6upqYmJirjjfx8fnZ927wh/vjjvu+I/Hq6ur8ff3v+KYj48PFRUV/9Xzwh/nl+owLy8PhULBhx9+yMGDB/H09GTOnDlMnToVgKqqKlGHfwLu7u4MGjSo/XeHw8EXX3xB3759RTu8hvxaPV4rbVEExH9CRqPximAYaP/dYrFcjSIJv6GsrKy93pYsWUJJSQkLFy7EZDL9Yn2Kuvzz+q06E3X653fp0iUUCgVRUVHMmDGDkydP8uyzz+Lq6sqoUaMwmUyiDv+EFi1axLlz5/jmm2/47LPPRDu8Rv20HrOysq6JtigC4j8hnU73sz+Ey787OTldjSIJvyEkJITjx4/j4eGBQqEgPj4eh8PBE088Qe/evf9jfYq6/PPS6XQ0NDRcceyndfZLbdTd3f2PKqLwG6ZMmcKwYcPw9PQEoFOnThQUFPDVV18xatSoX6xDvV5/FUorgBxErVq1isWLFxMbGyva4TXq3+uxY8eO10RbFGOI/4QCAgKor6/HZrO1H6uursbJyUk09D8xT0/P9nHCANHR0ZjNZvz8/Kipqbni3Jqamp91EQl/HgEBAb9aZ7/0vJ+f3x9WRuHXKRSK9i/gy6KioqisrAREHf7ZvPTSS3z66acsWrSIG264ARDt8Fr0n+rxWmmLIiD+E4qPj0etVl8xMeD06dN069YNpVJU2Z/RoUOH6NOnD0ajsf1YdnY2np6eJCcnc+bMmfalgCRJIjU1lYSEhKtVXOE3JCQkkJWVhclkaj92+vTp9jpLSEjg9OnT7c8ZjUbOnTsn6vRPZOnSpcyePfuKY+fPnycqKgr4eR2Wl5dTXl4u6vAqWLZsGWvXruXtt99m/Pjx7cdFO7y2/FI9XittUURXf0J6vZ4pU6bw/PPPk56ezu7du1m5ciUzZ8682kUTfkFiYiI6nY5nnnmGS5cuceDAAd544w3+9re/MWbMGJqamnj55ZfJzc3l5Zdfxmg0Mnbs2KtdbOEX9O7dm6CgIObPn09OTg7Lly8nPT2dm266CYBp06aRmprK8uXLycnJYf78+YSGhtKnT5+rXHLhsmHDhnHy5Ek++eQTioqK+PLLL9m0aRN33XUXALfffjubN29m/fr1nD9/nieffJKhQ4cSFhZ2lUt+fcnLy+P999/nnnvuITk5merq6vYf0Q6vHb9Wj9dMW/xDF3kT/msGg0F68sknpR49ekgDBw6UPv3006tdJOE3XLx4UZo9e7bUo0cPacCAAdK7777bvvZwWlqaNGXKFKlbt27STTfdJGVlZV3l0gr/7t/XsC0oKJCmT58ude3aVRo/frx05MiRK87fv3+/NHr0aKl79+7SrFmzxPq1fwL/Xoe7du2SJk6cKHXr1k0aM2aMtHPnzivO37BhgzRkyBCpR48e0oMPPijV1dX90UW+7n300UdSbGzsf/yRJNEOrxW/VY/XQltUSJLY0kUQBEEQBEG4fokhE4IgCIIgCMJ1TQTEgiAIgiAIwnVNBMSCIAiCIAjCdU0ExIIgCIIgCMJ1TQTEgiAIgiAIwnVNBMSCIAiCIAjCdU0ExIIgCIIgCMJ1TQTEgiAIgiAIwnVNfbULIAiCIPy/u/POOzlx4sQVxzQaDb6+vgwfPpwnnngCvV7/P7nW8OHDmTp1Kg8//PD/5P0EQRCuNhEQC4Ig/EWMHTuWp59+uv13g8HA4cOHefXVV3E4HDz//PNXr3CCIAh/YiIgFgRB+ItwcnLCz8/vimPh4eFkZmayfft2ERALgiD8AjGGWBAE4S9Op9OhVsv3P8rKynj00Ufp168fXbp0YfDgwSxatAiHwwHAxo0bGTVqVPtj165dufHGGzl9+vR/fO/W1lZuv/12Jk2aRF1d3R/2mQRBEP6XREAsCILwF2Wz2di/fz+bN29m8uTJAMydO5fm5mY+/fRTduzYwV133cWKFSvYu3dv++vKy8tZu3YtixYt4ttvv0Wv1/PPf/4TSZKueH+j0cj999+PyWRi9erVeHt7/6GfTxAE4X9FDJkQBEH4i9i6dSs7d+5s/91kMhEcHMzdd9/dHrhOnjyZsWPHEhQUBMDs2bP5+OOPuXDhAiNHjgTAarXywgsvEB8fD8CcOXN48MEHqa6uxt/fHwCz2czcuXNpbW3ls88+w8PD4w/+tIIgCP87IiAWBEH4ixg+fDj/+Mc/kCSJ9PR0Xn75Zfr378/999+PWq1GrVYzY8YMduzYQXp6OoWFhVy4cIGampr2IROXRUdHt/+3m5sbIAfKl61atQqr1Urfvn1FMCwIwjVPBMSCIAh/ES4uLoSHhwMQERGBv78/c+bMQaVS8fzzz2MwGJgxYwYmk4kxY8YwdepUunfvzvTp03/2Xlqt9mfHfjpkIjY2lqeeeoo5c+awbt06br311t/vgwmCIPzOREAsCILwF9W3b1/mzJnDJ598wvDhwzGZTGRlZXHkyBF8fX0BaGhooLa29mfjg3/L0KFD6d27N3PmzOGNN95g8ODB7cMwBEEQrjViUp0gCMJf2COPPEJERATPP/88Xl5eAGzZsoXS0lJOnTrFAw88gNVqxWKx/P96/4ceeghvb2+eeeaZ/2WxBUEQ/lAiIBYEQfgL0+l0vPTSS5SVlbFz507mz5/P6tWrGTt2LPPnz6dXr15MmDCBjIyM/1/v7+TkxIsvvsjhw4dZv379/7j0giAIfwyF9H/tJxMEQRAEQRCEvxBxh1gQBEEQBEG4romAWBAEQRAEQbiuiYBYEARBEARBuK6JgFgQBEEQBEG4romAWBAEQRAEQbiuiYBYEARBEARBuK6JgFgQBEEQBEG4romAWBAEQRAEQbiuiYBYEARBEARBuK6JgFgQBEEQBEG4romAWBAEQRAEQbiu/X8scNuTKPHk4wAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.scatterplot(x='Rank', y='Sales',data=rest_250, hue='Category')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b91ba5c",
+   "metadata": {},
+   "source": [
+    "As we look at the different restaurant category breakdowns we can see that the quickservice and fast casual restaurants sit at the top of the ranking and sales. This further pushes the narrative that casual and fine dining are sitting at the bottom of the restaurant totem pole."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "89eff12d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "hist = rest_250['Sales'].hist(bins=[1000,2000,3000,4000,5000,6000])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "e45e8e61",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\AppData\\Local\\Temp\\ipykernel_2784\\1054847787.py:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
+      "  corrmat = rest_250.corr()\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x900 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "corrmat = rest_250.corr()\n",
+    "f, ax = plt.subplots(figsize=(12, 9))\n",
+    "hm = sns.heatmap(round(corrmat,2), annot=True, ax=ax, cmap=\"coolwarm\",fmt='.2f',\n",
+    "                 linewidths=.05)\n",
+    "f.subplots_adjust(top=0.93)\n",
+    "t= f.suptitle('Top 250 Restaurant Correlations', fontsize=14)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "a1b805e7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Category\n",
+      "Casual Dining    1682.130435\n",
+      "Fast Casual      1557.095238\n",
+      "Fine Dining       461.000000\n",
+      "Quick Service    4096.021277\n",
+      "other             293.183544\n",
+      "Name: Sales, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "sales_mean=rest_250['Sales'].groupby(rest_250['Category']).mean()\n",
+    "print(sales_mean)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5af19341",
+   "metadata": {},
+   "source": [
+    "Let’s take a look at the overall sales for the different categories of restaurants."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "01f9e35e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(15, 5))\n",
+    "sns.barplot(x='Category', y='Sales',data=rest_250,ax=ax)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "385ad188",
+   "metadata": {},
+   "source": [
+    "Quick Service leads the pack once again while casual dining and fine dining lag behind."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6b0547fd",
+   "metadata": {},
+   "source": [
+    "So far it seems like the argument that fast food revenue is on the rise over casual sit down restaurants may be true…"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4ef66467",
+   "metadata": {},
+   "source": [
+    "But what if it isn’t necessarily restaurant category but cusine type that creates this gap? Let’s take a look."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "7c1e32c4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(15, 5))\n",
+    "sns.barplot(x='Cuisine', y='Sales',data=rest_250,ax=ax)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4dacf766",
+   "metadata": {},
+   "source": [
+    "Even this specific comparison places fast food cuisine like burgers chicken and sandwiches well above not only casual dining cuisine but other cuisine types that generally lend themselves to sit down dining experiences. I almost stopped here!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "acfd1e09",
+   "metadata": {},
+   "source": [
+    "But since we want to know if this type of \n",
+    "restaurant is ‘dying’ or on the downslide so \n",
+    "to speak, maybe we should take a look at \n",
+    "how sales have changed from the past?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "5ff86f79",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rest_250['YOY_Sales']=rest_250['YOY_Sales'].str.rstrip('%').astype('float')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "48eb16e5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rest_250['YOY_Units']=rest_250['YOY_Units'].str.rstrip('%').astype('float')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "c3b86ee5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 250 entries, 0 to 249\n",
+      "Data columns (total 9 columns):\n",
+      " #   Column            Non-Null Count  Dtype  \n",
+      "---  ------            --------------  -----  \n",
+      " 0   Rank              250 non-null    int64  \n",
+      " 1   Restaurant        250 non-null    object \n",
+      " 2   Sales             250 non-null    int64  \n",
+      " 3   YOY_Sales         250 non-null    float64\n",
+      " 4   Units             250 non-null    int64  \n",
+      " 5   YOY_Units         250 non-null    float64\n",
+      " 6   Segment_Category  250 non-null    object \n",
+      " 7   Category          250 non-null    object \n",
+      " 8   Cuisine           250 non-null    object \n",
+      "dtypes: float64(2), int64(3), object(4)\n",
+      "memory usage: 17.7+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "rest_250.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "02f225df",
+   "metadata": {},
+   "source": [
+    "But since we want to know if this type of restaurant is ‘dying’ or on the downslide so to speak, maybe we should take a look at how sales have changed from the past?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "127842e4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(15, 5))\n",
+    "sns.barplot(x='Category', y='YOY_Sales',data=rest_250,ax=ax)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "9faa88d5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(15, 5))\n",
+    "sns.barplot(x='Cuisine', y='YOY_Sales',data=rest_250,ax=ax)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "09e0c994",
+   "metadata": {},
+   "source": [
+    "We can see from these figures that not only is casual dining down from the previous year, casual dining cuisine types actually have negative average sales differences from the previous year."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6a22b77d",
+   "metadata": {},
+   "source": [
+    "So I guess we have to throw in the towel and assume \n",
+    "people just don’t want to take the time to sit down and \n",
+    "have a meal in a restaurant the way they used to right? \n",
+    "After all the data always tells the truth right? But is the \n",
+    "data telling us the whole truth? \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "383d1221",
+   "metadata": {},
+   "source": [
+    "What if I told you that this data was representative of restaurant \n",
+    "financials from the year 2020? Can you think of a few factors \n",
+    "about this year that would affect sit down restaurant revenue? \n",
+    "That’s right folks this data comes from a year where people, \n",
+    "for good reason, were absolutely less inclined to dine at a \n",
+    "casual sit down restaurant. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e93aff21",
+   "metadata": {},
+   "source": [
+    "So before everybody starts to move their 401k from Maggiano's into \n",
+    "Burger King stock, maybe we should wait a while and give people a chance \n",
+    "to get back into the rotation of having their regular Saturday date nights \n",
+    "and family meals at their favorite restaurants. The casual sit down dining \n",
+    "experience might still be as big a part of human culture as it has been for \n",
+    "many years.\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Euclidean_and_Manhattan_Distances_Case_Study.ipynb b/Euclidean_and_Manhattan_Distances_Case_Study.ipynb
new file mode 100644
index 00000000..f8620e73
--- /dev/null
+++ b/Euclidean_and_Manhattan_Distances_Case_Study.ipynb
@@ -0,0 +1,324 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Euclidean and Manhattan Distance Calculations\n",
+    "\n",
+    "In this short mini project you will see examples and comparisons of distance measures. Specifically, you'll visually compare the Euclidean distance to the Manhattan distance measures. The application of distance measures has a multitude of uses in data science and is the foundation of many algorithms you'll be using such as Prinical Components Analysis."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.cm as cm\n",
+    "%matplotlib inline\n",
+    "plt.style.use('ggplot')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>X</th>\n",
+       "      <th>Y</th>\n",
+       "      <th>Z</th>\n",
+       "      <th>ClusterID</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5.135779</td>\n",
+       "      <td>4.167542</td>\n",
+       "      <td>5.787635</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.280721</td>\n",
+       "      <td>5.770909</td>\n",
+       "      <td>6.091044</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>8.329098</td>\n",
+       "      <td>7.540436</td>\n",
+       "      <td>3.247239</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5.470224</td>\n",
+       "      <td>5.069249</td>\n",
+       "      <td>5.768313</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2.381797</td>\n",
+       "      <td>2.402374</td>\n",
+       "      <td>3.879101</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          X         Y         Z  ClusterID\n",
+       "0  5.135779  4.167542  5.787635          4\n",
+       "1  4.280721  5.770909  6.091044          4\n",
+       "2  8.329098  7.540436  3.247239          2\n",
+       "3  5.470224  5.069249  5.768313          4\n",
+       "4  2.381797  2.402374  3.879101          1"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Load Course Numerical Dataset\n",
+    "df = pd.read_csv('C:/Users/jwatki8/Downloads/CaseStudy Calculating Distances/data/distance_dataset.csv',index_col=0)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Euclidean Distance\n",
+    "\n",
+    "Let's visualize the difference between the Euclidean and Manhattan distance.\n",
+    "\n",
+    "We are using Pandas to load our dataset .CSV file and use Numpy to compute the __Euclidean distance__ to the point (Y=5, Z=5) that we choose as reference. On the left here we show the dataset projected onto the YZ plane and color coded per the Euclidean distance we just computed. As we are used to, points that lie at the same Euclidean distance define a regular 2D circle of radius that distance.\n",
+    "\n",
+    "Note that the __SciPy library__ comes with optimized functions written in C to compute distances (in the scipy.spatial.distance module) that are much faster than our (naive) implementation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# In the Y-Z plane, we compute the distance to ref point (5,5)\n",
+    "distEuclid = np.sqrt((df.Z - 5)**2 + (df.Y - 5)**2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Create a distance to reference point (3,3) matrix similar to the above example.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "distEuclid2 = np.sqrt((df.Z - 3)**2 + (df.Y - 3)**2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Replace the value set to 'c' in the plotting cell below with your own distance matrix and review the result to deepen your understanding of Euclidean distances. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "figEuclid = plt.figure(figsize=[10,8])\n",
+    "\n",
+    "plt.scatter(df.Y - 5, df.Z-5, c=distEuclid2, s=20)\n",
+    "plt.ylim([-4.9,4.9])\n",
+    "plt.xlim([-4.9,4.9])\n",
+    "plt.xlabel('Y - 3', size=14)\n",
+    "plt.ylabel('Z - 3', size=14)\n",
+    "plt.title('Euclidean Distance')\n",
+    "cb = plt.colorbar()\n",
+    "cb.set_label('Distance from (3,3)', size=14)\n",
+    "\n",
+    "#figEuclid.savefig('plots/Euclidean.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Manhattan Distance\n",
+    "\n",
+    "Manhattan distance is simply the sum of absolute differences between the points coordinates. This distance is also known as the taxicab or city block distance as it measure distances along the coorinate axis which creates \"paths\" that look like a cab's route on a grid-style city map.\n",
+    "\n",
+    "We display the dataset projected on the XZ plane here color coded per the Manhattan distance to the (X=5, Z=5) reference point. We can see that points laying at the same distance define a circle that looks like a Euclidean square."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# In the Y-Z plane, we compute the distance to ref point (5,5)\n",
+    "distManhattan = np.abs(df.X - 5) + np.abs(df.Z - 5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Create a Manhattan distance to reference point (4,4) matrix similar to the above example and replace the value for 'c' in the plotting cell to view the result.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "distManhattan2 = np.abs(df.X - 4) + np.abs(df.Z - 4)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's create distributions of these distance metrics and compare them. We leverage the scipy dist function to create these matrices similar to how you manually created them earlier in the exercise."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import scipy.spatial.distance as dist\n",
+    "\n",
+    "mat = df[['X','Y','Z']].to_numpy()\n",
+    "DistEuclid = dist.pdist(mat,'euclidean')\n",
+    "DistManhattan = dist.pdist(mat, 'cityblock')\n",
+    "largeMat = np.random.random((10000,100))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Plot histograms of each distance matrix for comparison.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "figManhattan = plt.figure(figsize=[10,8])\n",
+    "\n",
+    "plt.scatter(df.X - 4, df.Z - 4, c=distManhattan2, s=20)\n",
+    "plt.ylim([-4.9,4.9])\n",
+    "plt.xlim([-4.9,4.9])\n",
+    "plt.xlabel('X - 4', size=14)\n",
+    "plt.ylabel('Z - 4', size=14)\n",
+    "plt.title('Manhattan Distance')\n",
+    "cb = plt.colorbar()\n",
+    "cb.set_label('Distance from (4,4)', size=14)\n",
+    "\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "deepnote_execution_queue": [],
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Gradient Boosting Case Study.ipynb b/Gradient Boosting Case Study.ipynb
new file mode 100644
index 00000000..27861050
--- /dev/null
+++ b/Gradient Boosting Case Study.ipynb	
@@ -0,0 +1,1036 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "DX307zY7Rz8L"
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import scipy\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn import tree\n",
+    "from IPython.display import Image\n",
+    "%matplotlib inline\n",
+    "from sklearn import preprocessing\n",
+    "from sklearn.ensemble import GradientBoostingClassifier\n",
+    "from sklearn.metrics import classification_report, confusion_matrix, roc_curve, auc\n",
+    "from sklearn.metrics import ConfusionMatrixDisplay\n",
+    "from sklearn import metrics"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "IXO1tobzRz8R",
+    "run_control": {
+     "frozen": false,
+     "read_only": false
+    }
+   },
+   "source": [
+    "### Gradient boosting\n",
+    "\n",
+    "You may recall that we last encountered gradients when discussing the gradient descent algorithm in the context of fitting linear regression models.  For a particular regression model with n parameters, an n+1 dimensional space existed defined by all the parameters plus the cost/loss function to minimize.  The combination of parameters and loss function define a surface within the space.  The regression model is fitted by moving down the steepest 'downhill' gradient until we reach the lowest point of the surface, where all possible gradients are 'uphill.'  The final model is made up of the parameter estimates that define that location on the surface.\n",
+    "\n",
+    "Throughout all iterations of the gradient descent algorithm for linear regression, one thing remains constant: The underlying data used to estimate the parameters and calculate the loss function never changes.  In gradient boosting, however, the underlying data do change.  \n",
+    "\n",
+    "Each time we run a decision tree, we extract the residuals.  Then we run a new decision tree, using those residuals as the outcome to be predicted.  After reaching a stopping point, we add together the predicted values from all of the decision trees to create the final gradient boosted prediction.\n",
+    "\n",
+    "Gradient boosting can work on any combination of loss function and model type, as long as we can calculate the derivatives of the loss function with respect to the model parameters.  Most often, however, gradient boosting uses decision trees, and minimizes either the  residual (regression trees) or the negative log-likelihood (classification trees).  \n",
+    "\n",
+    "Let’s go through a simple regression example using Decision Trees as the base predictors (of course Gradient Boosting also works great with regression tasks). This is called Gradient Tree Boosting, or Gradient Boosted Regression Trees. First, let’s fit a `DecisionTreeRegressor` to the training set."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "gGreKgygRz8R"
+   },
+   "outputs": [],
+   "source": [
+    "np.random.seed(42)\n",
+    "X = np.random.rand(100, 1) - 0.5\n",
+    "y = 3*X[:, 0]**2 + 0.05 * np.random.randn(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "a48uXlSBRz8U",
+    "outputId": "f077e2e2-ca97-4aae-987a-176736cc6f1f"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeRegressor(max_depth=2, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeRegressor</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeRegressor(max_depth=2, random_state=42)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "DecisionTreeRegressor(max_depth=2, random_state=42)"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.tree import DecisionTreeRegressor\n",
+    "\n",
+    "tree_reg1 = DecisionTreeRegressor(max_depth=2, random_state=42)\n",
+    "tree_reg1.fit(X, y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "W3ao2m6RRz8Z"
+   },
+   "source": [
+    "Now train a second `DecisionTreeRegressor` on the residual errors made by the first predictor:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "j_wMy80MRz8Z",
+    "outputId": "41e4143a-5dad-40e7-b816-b08ff7a39799"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeRegressor(max_depth=2, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeRegressor</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeRegressor(max_depth=2, random_state=42)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "DecisionTreeRegressor(max_depth=2, random_state=42)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y2 = y - tree_reg1.predict(X)\n",
+    "tree_reg2 = DecisionTreeRegressor(max_depth=2, random_state=42)\n",
+    "tree_reg2.fit(X, y2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "T7iraM6-Rz8c"
+   },
+   "source": [
+    "Then we train a third regressor on the residual errors made by the second predictor:\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "luWV0lZGRz8c",
+    "outputId": "53ef51ac-8293-4c24-b403-853320cdd4a7"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeRegressor(max_depth=2, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeRegressor</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeRegressor(max_depth=2, random_state=42)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "DecisionTreeRegressor(max_depth=2, random_state=42)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y3 = y2 - tree_reg2.predict(X)\n",
+    "tree_reg3 = DecisionTreeRegressor(max_depth=2, random_state=42)\n",
+    "tree_reg3.fit(X, y3)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "hNqDI9AcRz8g"
+   },
+   "source": [
+    "Now we have an ensemble containing three trees. It can make predictions on a new instance simply by adding up the predictions of all the trees:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "5UxW0hN1Rz8g"
+   },
+   "outputs": [],
+   "source": [
+    "X_new = np.array([[0.8]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "2O_e-UpZRz8j"
+   },
+   "outputs": [],
+   "source": [
+    "y_pred = sum(tree.predict(X_new) for tree in (tree_reg1, tree_reg2, tree_reg3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "TKw9-uOJRz8m",
+    "outputId": "2d615aee-f854-489a-e517-d8fbc7d1ea48"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.75026781])"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y_pred"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "PlbPjAa1Rz8o"
+   },
+   "source": [
+    "The figure below represents the predictions of these three trees in the left column, and the ensemble’s predictions in the right column. In the first row, the ensemble has just one tree, so its predictions are exactly the same as the first tree’s predictions. In the second row, a new tree is trained on the residual errors of the first tree. On the right you can see that the ensemble’s predictions are equal to the sum of the predictions of the first two trees. Similarly, in the third row another tree is trained on the residual errors of the second tree. You can see that the ensemble’s predictions gradually get better as trees are added to the ensemble."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "WRMKci30Rz8p",
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Run the below cell to develop a visual representation.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "gbuQDXNWRz8p",
+    "outputId": "62b85e30-cc06-4585-bd8f-860924249c53",
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1100x1100 with 6 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def plot_predictions(regressors, X, y, axes, label=None, style=\"r-\", data_style=\"b.\", data_label=None):\n",
+    "    x1 = np.linspace(axes[0], axes[1], 500)\n",
+    "    y_pred = sum(regressor.predict(x1.reshape(-1, 1)) for regressor in regressors)\n",
+    "    plt.plot(X[:, 0], y, data_style, label=data_label)\n",
+    "    plt.plot(x1, y_pred, style, linewidth=2, label=label)\n",
+    "    if label or data_label:\n",
+    "        plt.legend(loc=\"upper center\", fontsize=16)\n",
+    "    plt.axis(axes)\n",
+    "\n",
+    "plt.figure(figsize=(11,11))\n",
+    "\n",
+    "plt.subplot(321)\n",
+    "plot_predictions([tree_reg1], X, y, axes=[-0.5, 0.5, -0.1, 0.8], label=\"$h_1(x_1)$\", style=\"g-\", data_label=\"Training set\")\n",
+    "plt.ylabel(\"$y$\", fontsize=16, rotation=0)\n",
+    "plt.title(\"Residuals and tree predictions\", fontsize=16)\n",
+    "\n",
+    "plt.subplot(322)\n",
+    "plot_predictions([tree_reg1], X, y, axes=[-0.5, 0.5, -0.1, 0.8], label=\"$h(x_1) = h_1(x_1)$\", data_label=\"Training set\")\n",
+    "plt.ylabel(\"$y$\", fontsize=16, rotation=0)\n",
+    "plt.title(\"Ensemble predictions\", fontsize=16)\n",
+    "\n",
+    "plt.subplot(323)\n",
+    "plot_predictions([tree_reg2], X, y2, axes=[-0.5, 0.5, -0.5, 0.5], label=\"$h_2(x_1)$\", style=\"g-\", data_style=\"k+\", data_label=\"Residuals\")\n",
+    "plt.ylabel(\"$y - h_1(x_1)$\", fontsize=16)\n",
+    "\n",
+    "plt.subplot(324)\n",
+    "plot_predictions([tree_reg1, tree_reg2], X, y, axes=[-0.5, 0.5, -0.1, 0.8], label=\"$h(x_1) = h_1(x_1) + h_2(x_1)$\")\n",
+    "plt.ylabel(\"$y$\", fontsize=16, rotation=0)\n",
+    "\n",
+    "plt.subplot(325)\n",
+    "plot_predictions([tree_reg3], X, y3, axes=[-0.5, 0.5, -0.5, 0.5], label=\"$h_3(x_1)$\", style=\"g-\", data_style=\"k+\")\n",
+    "plt.ylabel(\"$y - h_1(x_1) - h_2(x_1)$\", fontsize=16)\n",
+    "plt.xlabel(\"$x_1$\", fontsize=16)\n",
+    "\n",
+    "plt.subplot(326)\n",
+    "plot_predictions([tree_reg1, tree_reg2, tree_reg3], X, y, axes=[-0.5, 0.5, -0.1, 0.8], label=\"$h(x_1) = h_1(x_1) + h_2(x_1) + h_3(x_1)$\")\n",
+    "plt.xlabel(\"$x_1$\", fontsize=16)\n",
+    "plt.ylabel(\"$y$\", fontsize=16, rotation=0)\n",
+    "\n",
+    "#save_fig(\"gradient_boosting_plot\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "9dsMW-TCRz8s"
+   },
+   "source": [
+    "Now that you have solid understanding of Gradient Boosting in the regression scenario, let's apply the same algorithm to a classification problem. Specifically, the Titanic dataset and predicting survival."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "oaIC-pukRz8s",
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Use pandas read csv to load in the Titantic data set into a dataframe called df.</font>**\n",
+    "\n",
+    "Hint: in this case you can use [dropna()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dropna.html) to just throw away any incomplete rows. For the purpose of this exercise we will disregard them but obviously in the real world you need to be much more careful and decide how to handle incomplete observations. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "2MG_oc_cRz8s"
+   },
+   "outputs": [],
+   "source": [
+    "df=pd.read_csv('C:/Users/jwatki8/Downloads/Gradient Boosting Case Study/titanic.csv')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "zLvRIfuSRz8w",
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Print the levels of the categorical data using 'select_dtypes'. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 891 entries, 0 to 890\n",
+      "Data columns (total 12 columns):\n",
+      " #   Column       Non-Null Count  Dtype  \n",
+      "---  ------       --------------  -----  \n",
+      " 0   PassengerId  891 non-null    int64  \n",
+      " 1   Survived     891 non-null    int64  \n",
+      " 2   Pclass       891 non-null    int64  \n",
+      " 3   Name         891 non-null    object \n",
+      " 4   Sex          891 non-null    object \n",
+      " 5   Age          714 non-null    float64\n",
+      " 6   SibSp        891 non-null    int64  \n",
+      " 7   Parch        891 non-null    int64  \n",
+      " 8   Ticket       891 non-null    object \n",
+      " 9   Fare         891 non-null    float64\n",
+      " 10  Cabin        204 non-null    object \n",
+      " 11  Embarked     889 non-null    object \n",
+      "dtypes: float64(2), int64(5), object(5)\n",
+      "memory usage: 83.7+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df=df.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "RmwDwRljRz8x"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VarName</th>\n",
+       "      <th>LevelsCount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Name</td>\n",
+       "      <td>183</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Sex</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Ticket</td>\n",
+       "      <td>127</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Cabin</td>\n",
+       "      <td>133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Embarked</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    VarName  LevelsCount\n",
+       "0      Name          183\n",
+       "1       Sex            2\n",
+       "2    Ticket          127\n",
+       "3     Cabin          133\n",
+       "4  Embarked            3"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dfc=df.select_dtypes(include=['object'])\n",
+    "vn = pd.DataFrame(dfc.nunique()).reset_index()\n",
+    "vn.columns = ['VarName', 'LevelsCount']\n",
+    "vn.sort_values(by='LevelsCount', ascending =False)\n",
+    "vn"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "D07cr6M5Rz8z",
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Create dummy features for the categorical features and add those to the 'df' dataframe. Make sure to also remove the original categorical columns from the dataframe.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "vPF6cbioRz8z"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(183, 11)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Sex_female</th>\n",
+       "      <th>Sex_male</th>\n",
+       "      <th>Embarked_C</th>\n",
+       "      <th>Embarked_Q</th>\n",
+       "      <th>Embarked_S</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>51.8625</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>16.7000</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>58.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>26.5500</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Survived  Pclass   Age  SibSp  Parch     Fare  Sex_female  Sex_male  \\\n",
+       "1          1       1  38.0      1      0  71.2833           1         0   \n",
+       "3          1       1  35.0      1      0  53.1000           1         0   \n",
+       "6          0       1  54.0      0      0  51.8625           0         1   \n",
+       "10         1       3   4.0      1      1  16.7000           1         0   \n",
+       "11         1       1  58.0      0      0  26.5500           1         0   \n",
+       "\n",
+       "    Embarked_C  Embarked_Q  Embarked_S  \n",
+       "1            1           0           0  \n",
+       "3            0           0           1  \n",
+       "6            0           0           1  \n",
+       "10           0           0           1  \n",
+       "11           0           0           1  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.DataFrame(df.drop(dfc.columns,axis =1)).merge(pd.get_dummies(dfc.drop(['Name','Cabin','Ticket'],axis =1)),left_index=True,right_index=True).drop(['PassengerId'],axis =1)\n",
+    "print(df.shape)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "8kU862wQRz82",
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Print the null values for each column in the dataframe.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "ZV2mKhf_Rz82"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Survived  Pclass  Age    SibSp  Parch  Fare   Sex_female  Sex_male  Embarked_C  Embarked_Q  Embarked_S\n",
+       "False     False   False  False  False  False  False       False     False       False       False         183\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.isnull(df).value_counts()\n",
+    "#na_df=pd.DataFrame(df.isnull().sum().sort_values(ascending=False)).reset_index()\n",
+    "#na_df.columns = ['VarName', 'NullCount']\n",
+    "#na_df[(na_df['NullCount']>0)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "zsDK9CraRz85",
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Create the X and y matrices from the dataframe, where y = df.Survived </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "dle4w3vRRz85"
+   },
+   "outputs": [],
+   "source": [
+    "X = df.drop(columns = ['Survived'])\n",
+    "y =df.Survived"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "lT_yoTjtRz88",
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Apply the standard scaler to the X matrix.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "c8VoJndnRz88"
+   },
+   "outputs": [],
+   "source": [
+    "scaler = preprocessing.StandardScaler().fit(X)\n",
+    "X_scaled =scaler.transform(X)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-59l61rsRz9A",
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Split the X_scaled and y into 75/25 training and testing data subsets..</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "rJZsUA0xRz9A"
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.25, random_state=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "wTZIpc_KRz9C",
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Run the cell below to test multiple learning rates in your gradient boosting classifier.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "4ipqTcZPRz9D"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Learning rate:  0.05\n",
+      "Accuracy score (training): 0.730\n",
+      "Accuracy score (validation): 0.652\n",
+      "\n",
+      "Learning rate:  0.1\n",
+      "Accuracy score (training): 0.847\n",
+      "Accuracy score (validation): 0.739\n",
+      "\n",
+      "Learning rate:  0.25\n",
+      "Accuracy score (training): 0.832\n",
+      "Accuracy score (validation): 0.696\n",
+      "\n",
+      "Learning rate:  0.5\n",
+      "Accuracy score (training): 0.883\n",
+      "Accuracy score (validation): 0.717\n",
+      "\n",
+      "Learning rate:  0.75\n",
+      "Accuracy score (training): 0.883\n",
+      "Accuracy score (validation): 0.804\n",
+      "\n",
+      "Learning rate:  1\n",
+      "Accuracy score (training): 0.905\n",
+      "Accuracy score (validation): 0.717\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "learning_rates = [0.05, 0.1, 0.25, 0.5, 0.75, 1]\n",
+    "for learning_rate in learning_rates:\n",
+    "    gb = GradientBoostingClassifier(n_estimators=20, learning_rate = learning_rate, max_features=2, max_depth = 2, random_state = 1)\n",
+    "    gb.fit(X_train, y_train)\n",
+    "    print(\"Learning rate: \", learning_rate)\n",
+    "    print(\"Accuracy score (training): {0:.3f}\".format(gb.score(X_train, y_train)))\n",
+    "    print(\"Accuracy score (validation): {0:.3f}\".format(gb.score(X_test, y_test)))\n",
+    "    print()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**<font color='teal'>Apply the best learning rate to the model fit and predict on the testing set. Print out the confusion matrix and the classification report to review the model performance.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gb = GradientBoostingClassifier(n_estimators=20, learning_rate = 0.75, max_features=2, max_depth = 2, random_state = 1)\n",
+    "gb.fit(X_train, y_train)\n",
+    "y_pred=gb.predict(X_test)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#cnf_matrix = confusion_matrix(y_test, y_pred)\n",
+    "#np.set_printoptions(precision=2)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x2bd7c6b0190>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ConfusionMatrixDisplay.from_predictions( y_test, y_pred)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.75      0.60      0.67        15\n",
+      "           1       0.82      0.90      0.86        31\n",
+      "\n",
+      "    accuracy                           0.80        46\n",
+      "   macro avg       0.79      0.75      0.76        46\n",
+      "weighted avg       0.80      0.80      0.80        46\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(classification_report(y_test, y_pred,))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "ezq61Ov2Rz9G",
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'>Calculate the ROC for the model as well.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "u1TGKEqCRz9L"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.7516129032258064"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fpr, tpr, thresholds = roc_curve(y_test, y_pred)\n",
+    "auc(fpr, tpr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "y_pred_proba = gb.predict_proba(X_test)[::,1]\n",
+    "fpr, tpr, _ = metrics.roc_curve(y_test,  y_pred_proba)\n",
+    "auc = metrics.roc_auc_score(y_test, y_pred_proba)\n",
+    "plt.plot(fpr,tpr,label=\"data 1, auc=\"+str(auc))\n",
+    "plt.legend(loc=4)\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "name": "Gradient_Boosting_student.ipynb",
+   "provenance": []
+  },
+  "deepnote_execution_queue": [],
+  "hide_input": false,
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  },
+  "toc": {
+   "colors": {
+    "hover_highlight": "#DAA520",
+    "running_highlight": "#FF0000",
+    "selected_highlight": "#FFD700"
+   },
+   "moveMenuLeft": true,
+   "nav_menu": {
+    "height": "78px",
+    "width": "252px"
+   },
+   "navigate_menu": true,
+   "number_sections": true,
+   "sideBar": true,
+   "threshold": 4,
+   "toc_cell": false,
+   "toc_section_display": "block",
+   "toc_window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/GridSearchKNN_Case_Study.ipynb b/GridSearchKNN_Case_Study.ipynb
new file mode 100644
index 00000000..450f29c8
--- /dev/null
+++ b/GridSearchKNN_Case_Study.ipynb
@@ -0,0 +1,1081 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Grid Search Hyperparameter optimization"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This case study is all about using grid searches to identify the optimal parameters for a machine learning algorithm. To complere this case study, you'll use the Pima Indian diabetes dataset from Kaggle and KNN. Follow along with the preprocessing steps of this case study."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "Load the necessary packages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "sns.set()\n",
+    "\n",
+    "# set random seed to try make this exercise and solutions reproducible (NB: this is just for teaching purpose and not something you would do in real life)\n",
+    "random_seed_number = 42\n",
+    "np.random.seed(random_seed_number)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Load the diabetes data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Pregnancies</th>\n",
+       "      <th>Glucose</th>\n",
+       "      <th>BloodPressure</th>\n",
+       "      <th>SkinThickness</th>\n",
+       "      <th>Insulin</th>\n",
+       "      <th>BMI</th>\n",
+       "      <th>DiabetesPedigreeFunction</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Outcome</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>6</td>\n",
+       "      <td>148</td>\n",
+       "      <td>72</td>\n",
+       "      <td>35</td>\n",
+       "      <td>0</td>\n",
+       "      <td>33.6</td>\n",
+       "      <td>0.627</td>\n",
+       "      <td>50</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>85</td>\n",
+       "      <td>66</td>\n",
+       "      <td>29</td>\n",
+       "      <td>0</td>\n",
+       "      <td>26.6</td>\n",
+       "      <td>0.351</td>\n",
+       "      <td>31</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>8</td>\n",
+       "      <td>183</td>\n",
+       "      <td>64</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>23.3</td>\n",
+       "      <td>0.672</td>\n",
+       "      <td>32</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>89</td>\n",
+       "      <td>66</td>\n",
+       "      <td>23</td>\n",
+       "      <td>94</td>\n",
+       "      <td>28.1</td>\n",
+       "      <td>0.167</td>\n",
+       "      <td>21</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>137</td>\n",
+       "      <td>40</td>\n",
+       "      <td>35</td>\n",
+       "      <td>168</td>\n",
+       "      <td>43.1</td>\n",
+       "      <td>2.288</td>\n",
+       "      <td>33</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Pregnancies  Glucose  BloodPressure  SkinThickness  Insulin   BMI  \\\n",
+       "0            6      148             72             35        0  33.6   \n",
+       "1            1       85             66             29        0  26.6   \n",
+       "2            8      183             64              0        0  23.3   \n",
+       "3            1       89             66             23       94  28.1   \n",
+       "4            0      137             40             35      168  43.1   \n",
+       "\n",
+       "   DiabetesPedigreeFunction  Age  Outcome  \n",
+       "0                     0.627   50        1  \n",
+       "1                     0.351   31        0  \n",
+       "2                     0.672   32        1  \n",
+       "3                     0.167   21        0  \n",
+       "4                     2.288   33        1  "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "diabetes_data = pd.read_csv('C:/Users/jwatki8/Downloads/GridSearchKNN_Case_Study/data/diabetes.csv')\n",
+    "diabetes_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Start by reviewing the data info.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 768 entries, 0 to 767\n",
+      "Data columns (total 9 columns):\n",
+      " #   Column                    Non-Null Count  Dtype  \n",
+      "---  ------                    --------------  -----  \n",
+      " 0   Pregnancies               768 non-null    int64  \n",
+      " 1   Glucose                   768 non-null    int64  \n",
+      " 2   BloodPressure             768 non-null    int64  \n",
+      " 3   SkinThickness             768 non-null    int64  \n",
+      " 4   Insulin                   768 non-null    int64  \n",
+      " 5   BMI                       768 non-null    float64\n",
+      " 6   DiabetesPedigreeFunction  768 non-null    float64\n",
+      " 7   Age                       768 non-null    int64  \n",
+      " 8   Outcome                   768 non-null    int64  \n",
+      "dtypes: float64(2), int64(7)\n",
+      "memory usage: 54.1 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "diabetes_data.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Apply the describe function to the data.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Pregnancies</th>\n",
+       "      <th>Glucose</th>\n",
+       "      <th>BloodPressure</th>\n",
+       "      <th>SkinThickness</th>\n",
+       "      <th>Insulin</th>\n",
+       "      <th>BMI</th>\n",
+       "      <th>DiabetesPedigreeFunction</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Outcome</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "      <td>768.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>3.845052</td>\n",
+       "      <td>120.894531</td>\n",
+       "      <td>69.105469</td>\n",
+       "      <td>20.536458</td>\n",
+       "      <td>79.799479</td>\n",
+       "      <td>31.992578</td>\n",
+       "      <td>0.471876</td>\n",
+       "      <td>33.240885</td>\n",
+       "      <td>0.348958</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>3.369578</td>\n",
+       "      <td>31.972618</td>\n",
+       "      <td>19.355807</td>\n",
+       "      <td>15.952218</td>\n",
+       "      <td>115.244002</td>\n",
+       "      <td>7.884160</td>\n",
+       "      <td>0.331329</td>\n",
+       "      <td>11.760232</td>\n",
+       "      <td>0.476951</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.078000</td>\n",
+       "      <td>21.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>99.000000</td>\n",
+       "      <td>62.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>27.300000</td>\n",
+       "      <td>0.243750</td>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>117.000000</td>\n",
+       "      <td>72.000000</td>\n",
+       "      <td>23.000000</td>\n",
+       "      <td>30.500000</td>\n",
+       "      <td>32.000000</td>\n",
+       "      <td>0.372500</td>\n",
+       "      <td>29.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>140.250000</td>\n",
+       "      <td>80.000000</td>\n",
+       "      <td>32.000000</td>\n",
+       "      <td>127.250000</td>\n",
+       "      <td>36.600000</td>\n",
+       "      <td>0.626250</td>\n",
+       "      <td>41.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>17.000000</td>\n",
+       "      <td>199.000000</td>\n",
+       "      <td>122.000000</td>\n",
+       "      <td>99.000000</td>\n",
+       "      <td>846.000000</td>\n",
+       "      <td>67.100000</td>\n",
+       "      <td>2.420000</td>\n",
+       "      <td>81.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Pregnancies     Glucose  BloodPressure  SkinThickness     Insulin  \\\n",
+       "count   768.000000  768.000000     768.000000     768.000000  768.000000   \n",
+       "mean      3.845052  120.894531      69.105469      20.536458   79.799479   \n",
+       "std       3.369578   31.972618      19.355807      15.952218  115.244002   \n",
+       "min       0.000000    0.000000       0.000000       0.000000    0.000000   \n",
+       "25%       1.000000   99.000000      62.000000       0.000000    0.000000   \n",
+       "50%       3.000000  117.000000      72.000000      23.000000   30.500000   \n",
+       "75%       6.000000  140.250000      80.000000      32.000000  127.250000   \n",
+       "max      17.000000  199.000000     122.000000      99.000000  846.000000   \n",
+       "\n",
+       "              BMI  DiabetesPedigreeFunction         Age     Outcome  \n",
+       "count  768.000000                768.000000  768.000000  768.000000  \n",
+       "mean    31.992578                  0.471876   33.240885    0.348958  \n",
+       "std      7.884160                  0.331329   11.760232    0.476951  \n",
+       "min      0.000000                  0.078000   21.000000    0.000000  \n",
+       "25%     27.300000                  0.243750   24.000000    0.000000  \n",
+       "50%     32.000000                  0.372500   29.000000    0.000000  \n",
+       "75%     36.600000                  0.626250   41.000000    1.000000  \n",
+       "max     67.100000                  2.420000   81.000000    1.000000  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "diabetes_data.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Currently, the missing values in the dataset are represented as zeros. Replace the zero values in the following columns ['Glucose','BloodPressure','SkinThickness','Insulin','BMI'] with nan .</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diabetes_data['Glucose'].replace(0, np.nan, inplace=True)\n",
+    "diabetes_data['BloodPressure'].replace(0, np.nan, inplace=True)\n",
+    "diabetes_data['SkinThickness'].replace(0, np.nan, inplace=True)\n",
+    "diabetes_data['Insulin'].replace(0, np.nan, inplace=True)\n",
+    "diabetes_data['BMI'].replace(0, np.nan, inplace=True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Pregnancies                   0\n",
+      "Glucose                       5\n",
+      "BloodPressure                35\n",
+      "SkinThickness               227\n",
+      "Insulin                     374\n",
+      "BMI                          11\n",
+      "DiabetesPedigreeFunction      0\n",
+      "Age                           0\n",
+      "Outcome                       0\n",
+      "dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "count_nan = diabetes_data.isna().sum()\n",
+    "print(count_nan)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Plot histograms of each column. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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G3I/bJ31c//79FRUVpbVr10oqfdva8ePHNW7cON1zzz1q0aKFEhISNG7cOJ0+fdrp71y8eFEzZsxQXFycOnTooPHjx+vUqVNOddLS0tS/f3+1adNG8fHxTnW2b9+uxx9/XJL0+OOP67HHHnPs99FHH+nBBx9Uq1at1LlzZ82YMUMXLlxwbM/Pz9fUqVPVtWtXtWzZUr169dLy5ctvKH6bzaa77rpLP/zwg6OsoKBAf/zjH9WtWze1bNlS999/v/72t7857We327V48WIlJiaqTZs2Gj58uM6cOeNUp6zbJ5cvX66f//znat26tR555BH94x//UNOmTbV9+3bHPr/4xS+0aNEixcfH65577nH83XfffVe9e/dWy5YtlZiYqIULF6q4uPiGj7ErrrwVtMSVr4+mTZtq9erVmjRpkuLj4xUbG6tnnnlGJ06ccNpvw4YNSkpKUps2bZSYmKg5c+aosLBQ69ev18SJEyVJP//5zx1/+8p2zp49q5kzZ+ree+9Vq1at1KdPn1K3vfbo0UMLFizQH/7wB919991q3bq1Bg0apCNHjrgcPwB4k9TUVCUkJKhTp0667bbbHGP65a43/kjSvn37NGzYMLVr107t2rXTiBEjdOzYMXeGAgBwk08++URz5szR008/rWXLlql3796Kj4/XQw89pHXr1ikxMVETJkzQ/v37Pd1VwKNIivk4m82mhIQEffPNN05ri0lSXl6eHn/8cR08eFBTpkzR8uXL9fjjj2vTpk2aN2+eU93/+7//03fffadZs2Zp/Pjx+vTTTzVkyBBH0mbnzp0aMGCAgoODNX/+fP3+97/Xjh079Pjjjys/P18tWrTQiy++KEl68cUXHbd6bty4USNGjNAdd9yhV199VU8//bQ++OADDR8+3HG/+ssvv6x//vOfGj9+vOND/x//+Eelpqbe0DE4fPiwGjZsKOnSbZUjRozQ2rVrNXDgQL322muKjY3Vc889pw0bNjj2mT17tl599VX95je/0aJFi1S7dm3NmTPnmu0sWrRIKSkp+tWvfqXFixerTZs2evbZZ0vV++GHH/TZZ59p3rx5mjhxomrVqqXXX39dL7zwghISErRkyRL169dPf/rTn/TCCy849rveMb6c3W5XUVGR08+VCbYbNW/ePNntds2dO1fjxo3TJ598opdfftmxffXq1Ro/frxatGihRYsWaejQoXr77bc1Y8YMJSYm6qmnnnIcn+HDh5f6+/n5+frtb3+rjRs3avDgwVq8eLHat2+vSZMmacmSJU5133rrLR06dEgzZ87UjBkz9O2332r8+PHligsAvMH+/fv1n//8R7/+9a8lSb/+9a/18ccfO305cSPjz+HDh/XII4/o5MmT+sMf/qDk5GQdO3ZMjz76qE6ePOnGiAAA7rBo0SLdcccdGjFiRKltgYGBeumll+Tv768//elPjnWJ169f71RvwoQJ6tGjh+P/33//fX3//fdOdc+dO6fp06erS5cuatu2rfr27atPP/3U8TeKi4u1evVq3X///WrdurUSExOVkpKigoICp3YGDRqkdevW6d5773V8wXP48GF98sknuv/++9WmTRs99NBDysjIcOpjZU0agHVx+6QF3HTTTbp48aJycnKcyo8cOaLo6Gj94Q9/0K233ipJ6tSpk3bv3q0dO3Y41Y2MjNTy5csVGhrq+H3EiBH65z//qe7du2vOnDlq1KiRXn/9dfn7+0uS2rRpo969eys1NVX9+vVTkyZNJElNmjRRkyZNZIxRSkqKunTpopSUFEdbt99+uwYMGKDPPvtMiYmJ2rFjhzp37uyY2tuxY0eFhoaqbt26Tn0sSQSV/H9WVpbefvtt7dmzR1OnTpV0aX2rzz//XPPmzdN9990nSerSpYvy8vKUkpKiPn366MKFC3r77bc1cOBAPf3004462dnZ+vzzz8s8xhcuXNCf/vQn9evXT2PGjJEk3XPPPcrLy9O6deuc6hYVFWn8+PHq0KGDpEuzpBYvXqyHH35YkydPduxbu3ZtTZ48WQMHDtSdd955Q8e4xKRJkzRp0iSndoOCgvSf//ynzP5fS0xMjGbOnOn4/ZtvvtHf//53x3F+9dVXde+992rGjBmOOnl5edq0aZPCw8MdCcm77rpLDRo0KPX3169fr3379mnt2rWKjY2VdOl4FxUVafHixXrkkUdUu3ZtSVJERIQWL17siP///b//p4ULF+r06dOKjIx0OTYAqO5SU1NVu3Ztx0VJUlKSFi5cqPfee09PPvnkDY8/ixYtUkhIiFauXOlY0zEhIUH33nuvli1bxhcMAOBDTp06pW+//VaDBg266hqUtWvX1t13362PP/5Yo0aNuu7fHD58uE6dOqX09HQtWrRIDRs2VHFxsZ544gkdOXJEo0aN0h133KH3339fI0aM0JtvvqkOHTroxRdf1F/+8hcNGTJEHTp0UHp6ul599VVlZGRo2bJljv79+9//VnZ2tiZMmKCCggJNnTpVQ4cOlZ+fn0aNGqWQkBBNmTJFY8aM0aZNmyRdmjQwcOBAderUSfPnz9eZM2f0yiuv6PHHH9d7773nkfWU4X1IillAyYyrK98Q77rrLq1Zs0Z2u11HjhzR0aNHdeDAAR06dKjUrLJu3bo5EmLSpVvZAgICtHPnTkcibdCgQTLGOPa99dZb1bhxY33xxRdOCZsShw4dUmZmpoYNG+bUXlxcnMLCwvTFF18oMTFRHTt21Nq1a5WZmalu3bqpW7duZX7jUVYiKDw8XE899ZQefvhhSdLWrVvl5+enbt26lXoq5wcffKD9+/frp59+0sWLF9W9e3env/WrX/3qqkmxr7/+Wvn5+erVq5dTeZ8+fUolxaRLx77Ev//9b+Xn56tHjx6l+iRJX3zxhRo0aODSMX766adLLbRvs5VvYuiVa5NFR0crLy9P0qWZBydPntQvfvELpzqDBg3SoEGDbujv79ixQ7fccosjIVbigQce0Hvvvafdu3erW7dukqRWrVo5EmIlfZEuJeFIigHwNRcvXtQHH3yge++9V/n5+crPz1fNmjXVvn17vfPOOxo6dOgNjz/btm1TfHy8goODHWNIWFiYOnTooC+//NKtcQEAqlbJU99vueWWa9a77bbb9PHHHys3N/e6f7Nhw4aqU6eOgoKCHNcHn3zyiXbv3u34kly6NMni2LFj2rZtm2rXrq333ntPzz//vIYOHSpJ6ty5s+rVq6dx48bpn//8p+Nz/vnz5zV//nzH4v87duzQ2rVrtXLlSsc6mkePHtUf/vAH5ebmKiIiwqVJA8DVkBSzgKysLAUHBztm21zujTfe0JIlS5STk6ObbrpJLVu2VEhIiM6ePetU7+abb3b63WazKTIyUrm5ucrNzZXdbtef/vSnMp9EUqNGjTL7VTJzbdq0aZo2bVqp7dnZ2ZIuJbuio6P1wQcfaPr06Zo+fbpiY2M1depUNWvWzFH/8kSQzWZTeHi4GjRo4JQMysnJkTFG7dq1K7NP2dnZjkHhyiTLlcfgciVTdOvUqeNUfuVsthI1a9Z06pMkx0BxtT65coxvueUWtWrV6qr9dUVISIjT7zabzZFoLen71eK8EWfOnCnz2N50002S5DRIl9UX6dKMNQDwNZ9++qlOnjyp9957r9Q6i5L0+eefO8br640/OTk5+tvf/lZqDc2y9gUAeLeSz+qBgYHXrFeSSCqp76pdu3YpMDDQ8WW+dOnzecnal2vWrJGkUov59+7dWxMnTtT27dsdSbFatWo5PQ2z5FqgTZs2jrKS69nc3FwFBgaWa2IGcCWSYj6uqKhI27dvV7t27Zxm2EiX1vOaNWuWxo4dqwcffNDxofiZZ54pdZvdlbdeFhcX6/Tp06pbt65q1qwpPz8/DRgwoMynl1yZyCgREREhSRo3bpzi4+NLba9Vq5akS7f9PfXUU3rqqaf0ww8/6JNPPtHixYv1/PPPO6bOSjeWCAoPD1doaKjeeuutMrffdttt+uabbyRJJ0+e1B133OHYduUxuFzJjKUr97mR+9lLjkNKSopuv/32Uttvuummch/jqymZNXhlMun8+fMu/Z2Svl8Z5+nTp5Wenl5q9ldZatWqpaNHj5Yq/+mnnySVTk4CgFWkpqbq1ltvVXJyslO5MUZPP/201q5d65iVe73xJzw8XHfffbcGDhxYqp2AAD4OAoAvKZkhVjJj7GqOHTummjVrOq67XJWTk6PatWtf9Y6UkgeKXfkFeEBAgCIjI50mYpTc2n+ly+9Wulx5J2YAV2KhfR+3bt06/fTTT3r00UdLbdu1a5ciIiI0ePBgR0Ls/Pnz2rVrV6lkyRdffOF0a9+HH36ooqIidezYUWFhYWrevLkOHTqkVq1aOX7uvPNOLVy40PHkqyuTcnfccYfq1q2r48ePO+0XFRWlOXPmKD09Xfn5+frlL3+pFStWSJJ+9rOfqV+/furdu7fTEyVvVHx8vC5cuCBjjFOb+/bt06uvvqqioiLFxsYqODjYsW5WiU8++eSqf7dZs2YKDw/Xli1bnMo3b9583T61adNGgYGBysrKcupTQECA5s6dq+PHj9/wMb5RJYNOZmamo+zgwYPXTPyV5Y477lBkZGSpY/OXv/xFQ4cO1cWLF69722ZcXJy+//57/fvf/3Yq/+CDDxQYGKjWrVu71CcA8AU//fSTPv/8c/Xu3VsdO3Z0+unUqZN69eqlzz77TPXr17+h8Sc+Pl4HDhzQXXfd5RhDWrZsqZUrV5baFwDg3erWrau2bdvqww8/vOodFefOndMXX3yhHj16OL4wv/LBXBcuXLhmO+Hh4Y47cS6Xnp6u7777zpFsK/myu8TFixcrvCZwyaSBgQMHOmZUX/4za9ascv9tWAtfDfqIc+fO6euvv5Z0afbP6dOn9a9//Uvr1q3TAw88oJ49e5bap3Xr1vrzn/+sWbNmqXv37srOztby5ct14sSJUt8W/PTTTxo5cqQee+wxHTlyRHPnzlXnzp0d93ePHj1aQ4cO1fPPP68HHnhAxcXFWrFihXbv3u144mB4eLikS7eD1KpVS82aNdNzzz2nF198Uf7+/urevbtyc3O1ePFiZWVlqUWLFgoODnY81TAwMFBNmzbV4cOH9f777+uXv/yly8epW7duiouL0/DhwzV8+HA1btxY33zzjRYsWKAuXbo4koPDhw/X/PnzFRISok6dOumzzz67ZlIsLCxMgwcP1oIFCxQSEqL4+Hjt2LFDf/7znyVdez2vyMhIDR48WK+88orOnTunjh07KisrS6+88or8/Pwct4jeyDG+UR07dlRwcLBmzZqlZ555RufPn9eCBQvKvMX2Wvz9/TVy5Ei99NJLqlu3rnr06KHDhw9rwYIF6tevn2rVquWYTbZlyxZ17drVaVq0JD344INas2aNRowYoVGjRqlBgwb6xz/+odTUVD399NOO/QHASjZs2KCioqIyZwdLl55C+e6772r9+vU3NP4MHz5cjzzyiIYNG6ZHH31UNWrU0Lp16/TRRx9pwYIFbosLAOAeTz/9tAYPHqy5c+c6HsRSori4WFOmTFF+fr4GDx7s+MI8KyvLUefixYv65ptvnK5jrrym6dChg1asWOG0NpgxRhMnTtRtt93mWMB/06ZNTkvFbNq0ScXFxWrfvn2547ty0kCJ/Px8jRo1St26dXM86A24FpJiPiI9Pd2xmLyfn59q1qypmJgYTZ06VQ899FCZ+yQlJen48eNKTU3VmjVrFBUVpW7duum3v/2tXnjhBR08eNCRwPjtb3+rs2fPasSIEQoKCtL999+vsWPHOr5VuOeee7R8+XItWrRIo0aNUmBgoFq0aKE33njDsRDjnXfeqT59+mj16tX6/PPP9de//lUPPfSQatasqWXLlmndunUKDQ1Vu3btlJKS4ngi5ksvvaT58+drxYoV+umnn1S3bl395je/0TPPPOPycbLZbFq6dKleeeUVvf766zp58qSioqI0cOBAp8X7hw0bptDQUL355pt68803FRsbq/HjxzueYlmWYcOGyRijdevWafny5WrTpo3GjBmjmTNnXnXab4lnn31WN998s9asWaNly5apVq1aSkhI0OjRox3JxBs5xjcqIiJCCxcu1Jw5czRixAjdcsstevrpp7VhwwaX/o4k9evXT6GhoVq+fLnWrVun6OhoDRkyREOGDJF0KQF39913a86cOdq6dauWLl3qtH9ISIjefvttzZkzx5EYvOOOO5ScnKzf/OY3LvcHAHzB+vXrdeeddyomJqbM7e3bt1eDBg307rvv6pNPPrnu+NOsWTOtXr1a8+bN07hx42SMUUxMjF599VX9/Oc/d2doAAA36NKliyZMmKA//vGPysjIUN++fVWvXj0dP35cf/7zn5WRkaHk5GTHF/CxsbF6++23ddttt6lWrVp66623lJ+f73QdExERoRMnTuizzz7TXXfdpcTERMXGxmrChAl69tlndeutt+ovf/mLDh48qOnTp6tJkyZKSkrSggULlJeXp7i4OGVkZGjRokXq2LGjunTpUqEYK3PSAKzLz5R3VT0ADkVFRfrrX/+qjh07qn79+o7y1atXa8aMGdq+fTszngAAlY7xBwBwLV9//bXefPNNffXVVzp16pRuvvlmde7cWb/73e+cZlIdOXJE06dPV1pamsLCwvSb3/xGwcHBevfdd/WPf/xDkrRv3z4988wzOnbsmEaNGqWhQ4fq7NmzSklJ0ZYtW5SXl6emTZtq9OjRjjWji4uLtXTpUqWmpiozM1P16tXT/fffr+HDhzvW/ZowYYJ27NjhaEeSFi5cqEWLFmnv3r2OsvXr12vixIn6+OOP1aBBA0nS1q1btWjRIn377beOSQMjR45Uhw4dqvzYwjeQFAMqSe/evR0PBYiMjNS+ffs0f/583XvvvZo5c6anuwcA8FGMPwAAAOVDUgyoJMeOHdPcuXO1fft25ebm6mc/+5keeOABDRs27LqPQwYAoLwYfwAAAMqHpBgAAAAAAAAs5+qPxAMAAAAAAAB8FEkxAAAAAAAAWA5JMQAAAAAAAFgOSTEAAAAAAABYToCnO1AZjDGy252fF2Cz+ZUqswKrxi0RuxVjt2rcUunYbTY/+fn5ebBHKGssKosvvG6JoXoghuqBGJz/DmOR593oeFQWX3g93yirxGqVOCVi9VXlidWV8cgnkmJ2u9GpU+cdvwcE2BQZWVO5uRdUVGT3YM/cy6pxS8RuxditGrdUdux16tSUvz8XIp505VhUFl943RJD9UAM1QMxOGMsqh5uZDwqiy+8nm+UVWK1SpwSsfqq8sbqynjE7ZMAAAAAAACwHJJiAAAAAAAAsBySYgAAr3Py5EmNHTtWnTp1UmxsrIYOHaqDBw86tmdkZKh///5q27atevToobfeestpf7vdrgULFqhLly5q27athgwZomPHjrk7DACAl8vKylLTpk1L/axfv14S4xEAVHckxQAAXmfEiBE6evSoli5dqvfee0/BwcEaMGCA8vLydPr0aQ0cOFANGzZUamqqRowYoZSUFKWmpjr2X7x4sdasWaPp06dr7dq1stvtGjx4sAoLCz0YFQDA2+zZs0c1atTQ559/rn/961+On/vuu4/xCAC8gE8stA8AsI4zZ87olltu0bBhwxQTEyNJGj58uP7nf/5H+/fv19atWxUYGKiXXnpJAQEBaty4sSOB1rdvXxUWFmrFihUaM2aMEhMTJUnz5s1Tly5dtHnzZvXp08eD0QEAvMm+fft0++23q169eqW2vfnmm4xHAFDNMVMMAOBVatWqpTlz5jgSYqdOndLKlSsVHR2tJk2aKC0tTfHx8QoI+O/3Pp06ddKRI0d04sQJ7dmzR+fPn1dCQoJje0REhJo3b66dO3e6PR4AgPfau3evGjduXOY2xiMAqP4sPVPMZvOTzeb+x0bb7UZ2u3F7uwDga1544QW98847CgoK0muvvabQ0FBlZmY6EmYlSr7B//HHH5WZmSlJql+/fqk6JdvKKyDg2t81+fvbnP5bws/Pc+ORMa6NR1eLwZsQQ/VADNWDL8TgSfv27VNkZKT69eunw4cP67bbbtNTTz2lrl27VuvxqCwlr4HAQH+3vh7KMxZVlFVe91aJUyJWX+WOWC2bFLPZ/FS7dqhHXkjFxXbl5FwgMQYAFfS73/1ODz/8sFavXq0RI0ZozZo1ys/PV1BQkFO9GjVqSJIKCgqUl5cnSWXWOXPmTLn7YrP5KTKy5g3VjYgIcfrdbjceS4qVt90rY/BGxFA9EEP14AsxuFtRUZEOHTqkJk2aaMKECQoLC9OmTZs0dOhQvfHGG14xHl3JbjcKCwsud9vlbdMTY6Bknde9VeKUiNVXVWWslk6K+fvblLJ6l45nnXVbuw2iwjWmX3vZbH4kxQCggpo0aSJJSk5O1u7du7Vq1SoFBweXWqC4oKBAkhQaGqrg4Esf9gsLCx3/X1InJKT8A67dbpSbe+Gadfz9bYqICFFubp6Ki+1OZZ4ajy7vy40oKwZvQwzVAzFUD5UZQ0REiCVmLpQICAjQ9u3b5e/v7xhPWrZsqf3792v58uXVejwqS2Cgv8LCgt06HpV3LKooX/i3eyOsEqdErL6qvLG6Mh5ZNilW4njWWR38vvzfxAAA3OvUqVPaunWrfvnLXzrWabHZbGrSpImys7MVHR2t7Oxsp31Kfo+KilJRUZGjrGHDhk51mjZtWqG+FRXd2GBdXGwvVddT41FZfanK/aoTYqgeiKF68IUYPKFmzdIzsu68807961//8orx6HIlF5CeGI889fqzyuveKnFKxOqrqjJW63yVAwDwCSdOnNDo0aO1detWR9nFixeVnp6uxo0bKy4uTrt27VJxcbFj+7Zt29SoUSPVrVtXzZo1U1hYmLZv3+7Ynpubq/T0dMXFxbk1FgCA99q/f7/atWvnNJ5I0rfffqsmTZowHgGAFyApBgDwKjExMeratatmzJihnTt3at++fZowYYJyc3M1YMAA9e3bV+fOndOkSZN04MABrV+/XitXrtSwYcMkXVq7pX///kpJSdHHH3+sPXv26LnnnlN0dLR69uzp4egAAN6icePGuuOOO/TSSy8pLS1NBw8e1MyZM/X111/rqaeeYjwCAC9g+dsnAQDeZ+7cuZozZ46ee+45nT17Vh06dNDq1av1s5/9TJK0bNkyJScnKykpSTfffLPGjRunpKQkx/6jRo1SUVGRJk+erPz8fMXFxWn58uUKDAz0VEgAAC9js9m0ZMkSzZkzR88++6xyc3PVvHlzvfHGG46nTjIeAUD15nJS7OTJk5o1a5Y+//xzFRQUKC4uTuPHj1fjxo0lSRkZGUpOTta3336rOnXqaMCAAXr88ccd+9vtdi1atEjvvvuuzp49q7i4OL344ou69dZbKy8qAIBPCw8P19SpUzV16tQyt7du3Vrr1q276v7+/v4aO3asxo4dW0U9BABYwU033aSZM2dedTvjEQBUby7fPjlixAgdPXpUS5cu1Xvvvafg4GANGDBAeXl5On36tAYOHKiGDRsqNTVVI0aMUEpKilJTUx37L168WGvWrNH06dO1du1a2e12DR48uNSTWQAAAAAAAICq4tJMsTNnzuiWW27RsGHDHFOChw8frv/5n//R/v37tXXrVgUGBuqll15SQECAGjdu7Eig9e3bV4WFhVqxYoXGjBmjxMRESdK8efPUpUsXbd68WX369Kn0AAEAAAAAAIAruTRTrFatWpozZ44jIXbq1CmtXLlS0dHRatKkidLS0hQfH6+AgP/m2jp16qQjR47oxIkT2rNnj86fP6+EhATH9oiICDVv3lw7d+6spJAAAAAAAACAayv3QvsvvPCC3nnnHQUFBem1115TaGioMjMzHQmzEvXq1ZMk/fjjj8rMzJQk1a9fv1Sdkm3lFRDw3/yev7/N6b9ludY2d6iK9m8kbl9F7NaL3apxS9aOHQAAAAAqS7mTYr/73e/08MMPa/Xq1RoxYoTWrFmj/Px8BQUFOdWrUaO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\n",
+      "text/plain": [
+       "<Figure size 1500x1000 with 9 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "diabetes_data.hist(figsize=(15, 10))\n",
+    "plt.subplots_adjust(hspace=0.5);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Replace the zeros with mean and median values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diabetes_data['Glucose'].fillna(diabetes_data['Glucose'].mean(), inplace = True)\n",
+    "diabetes_data['BloodPressure'].fillna(diabetes_data['BloodPressure'].mean(), inplace = True)\n",
+    "diabetes_data['SkinThickness'].fillna(diabetes_data['SkinThickness'].median(), inplace = True)\n",
+    "diabetes_data['Insulin'].fillna(diabetes_data['Insulin'].median(), inplace = True)\n",
+    "diabetes_data['BMI'].fillna(diabetes_data['BMI'].median(), inplace = True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Plot histograms of each column after replacing nan. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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TJ2v9+vUymUzq06ePsrKy7FENAAAAAHZAUgwA4LDmzZsnHx8fq2Xvvfee3NzcNGnSJAUHB6tr167q2bOnlixZIknKysrS8uXLNWTIELVt21YNGjTQ7NmzdfbsWW3fvt0e1QAAAABgByTFAAAOac+ePdqwYYOmT59utXzv3r0KDw+Xq6urZVmrVq3066+/6vz58zpy5IiuXr2qiIgIy3o/Pz81bNhQe/bssVn8AABAMhoNcnU12vTHxYXLYAA3uN5+EwAAypbU1FSNHj1aMTExqlatmtW6s2fPqn79+lbLAgICJEl//vmnzp49K0l59gsICLCsKypX11ufZOeehJeFk3F7xpBf2WWpbcoS2uXmaJv80S5wJEajQZUqefN5BWA3JMUAAA5nwoQJCg0N1WOPPZZnXUZGhtzd3a2WeXh4SJIyMzOVnp4uSfluc/ny5SLHZDQa5O9foUDb+vl5Fbmc8uBW9Xf2trkZ2uXmaJv80S5wBEajQS4uRsWtTdDppDSbldu8QYB6dGpos/IAlF0kxQAADmXLli3au3evtm7dmu96T0/PPBPmZ2ZmSpK8vb3l6ekp6cbcYrn/z93Gy6voF5Emk1mpqdduuY2Li1F+fl5KTU1XTo6pyGWVhNxY7CG/+peltilLaJebo23yZ8928fPz4o4fFMnppDSdPFP0L6YKq0aAz+03AuAUCp0Uu3DhgqZPn65vvvlGmZmZCgsL05gxYxQcHCxJOnz4sGJjY3Xw4EFVrlxZPXv2VI8ePSz7m0wmzZ8/X++//77S0tIUFham1157TXfeeWfJ1QoAUG5t2rRJFy5cUNu2ba2Wjx8/Xp988omCgoKUnJxstS7398DAQGVnZ1uW1axZ02qbkJCQYsWWnV2wC9CcHFOBty2PblV/Z2+bm6Fdbo62yR/tAgDA7RX6q5xBgwbp1KlTWrJkiTZu3ChPT0/17NlT6enpunTpknr16qWaNWtq06ZNGjRokOLi4rRp0ybL/gsXLtS6des0efJkrV+/XiaTSX369MnzrT4AAPmJi4vTJ598oi1btlh+JGnIkCGKjY1VWFiYEhISlJOTY9ln9+7dql27tqpUqaIGDRrIx8dH8fHxlvWpqak6dOiQwsLCbF0dAAAAAHZSqKTY5cuXVb16dU2ZMkVNmjRRcHCwBg4cqOTkZB0/flzvvfee3NzcNGnSJAUHB6tr167q2bOnlixZIunGUJXly5dryJAhatu2rRo0aKDZs2fr7Nmz2r59e6lUEABQvgQGBuquu+6y+pGkKlWqKDAwUF27dtWVK1c0btw4nThxQps3b9aKFSvUr18/STfmEouOjlZcXJw+//xzHTlyRMOGDVNQUJDatWtnz6oBABzY4sWL1b17d6tlMTExCgkJsfqJioqyrDeZTJo7d65at26tZs2a6cUXX9Tvv/9u69ABwGkVKilWsWJFzZw50/JUr4sXL2rFihUKCgpS3bp1tXfvXoWHh8vV9X+jMlu1aqVff/1V58+f15EjR3T16lVFRERY1vv5+alhw4bas2dPCVUJAODMqlSpoqVLlyoxMVFdunTR/PnzNXr0aHXp0sWyzZAhQ/TUU08pJiZG//rXv+Ti4qJly5bJzc3NjpEDABzV2rVrNWfOnDzLjx49qv79++vbb7+1/GzcuNGynlE0AGBfRZ5o/9VXX9V7770nd3d3vfXWW/L29tbZs2ctCbNcAQEBkqQ///zT8qj7atWq5dkmd11RubqWz0k9S+Kx2vac8LS4ZTvzY8Wdue4S9Xf2+hfW0aNHrX5v0qSJNmzYcNPtXVxcNGrUKI0aNaq0QwMAlGNJSUkaP3684uPjVatWLat1ZrNZJ06cUN++fVW1atU8++aOohk5cqRlnszZs2erdevW2r59uzp37myDGgCAcytyUuz555/XM888o7Vr12rQoEFat26dMjIy8n3EvXTjqV7p6emSlO82ly8X/WkjRqNB/v4Viry/I3DUx2qXVNyOWv+S4Mx1l6i/s9cfAICy7Oeff5abm5s++ugjLViwQGfOnLGs++2333Tt2jXVqVMn331vN4qGpBgAlL4iJ8Xq1q0rSYqNjdVPP/2kNWvWyNPTM8+tvpmZmZIkb29veXp6SrrxrUju/3O38fIq+oWfyWRWauq1Iu9flpXEY7VzX8Meivs4cGd+3Loz112i/oWtv5+fF3eVAQBgY1FRUVZzhP3VsWPHJEmrV6/W119/LaPRqMjISA0bNky+vr4OPYqmpO5o59zFNgrbzs42YoH6OrdCJcUuXryoXbt2qX379pZ5w4xGo+rWravk5GQFBQVZHnufK/f3wMBAZWdnW5bVrFnTapuQkJBiVaS8P3LaUR+rXVJxO2r9S4Iz112i/s5efwAAHNWxY8dkNBoVEBCgRYsW6bffftMbb7yh48ePa+XKleViFA13tDuGor5Pzvb+Ul/nVKik2Pnz5zV8+HAtXbpUrVu3liRdv35dhw4dUlRUlO644w6tX79eOTk5cnFxkSTt3r1btWvXVpUqVeTr6ysfHx/Fx8dbkmKpqak6dOiQoqOjS7hqAAAAAGAfAwYM0HPPPSd/f39JUv369VW1alU9/fTTOnDggEOPoimpO/rtOaLFmRT2fXK2ERvUt/wpzCiaQiXF6tevr8jISE2ZMkVTpkxRxYoVtXjxYqWmpqpnz57y8PDQ0qVLNW7cOPXp00f79+/XihUrNHHiREk3vgWJjo5WXFycKleurOrVq2vGjBkKCgpSu3btCl9TAAAAACiDjEajJSGWq169epKks2fPWoZNOvIoGu5odwxFfZ+c7f2lvs6p0HOKzZo1SzNnztSwYcOUlpamli1bau3atfp//+//SZKWLl2q2NhYdenSRVWrVtXo0aPVpUsXy/5DhgxRdna2YmJilJGRobCwMC1btkxubm4lVysAAAAAsKPRo0crOTlZK1assCw7cOCApBvzM995552MogEAOyt0UszX11cTJkzQhAkT8l3fpEkTbdiw4ab7u7i4aNSoURo1alRhiwYAAAAAh9C+fXsNHDhQ8+fP1+OPP67ExERNmjRJnTt3VnBwsCQxigYA7KzIT58EAAAAAOTvoYce0pw5c7RkyRK9/fbb8vX11WOPPaahQ4datmEUDQDYF0kxAAAAACim6dOn51nWsWNHdezY8ab7MIoGAOyrYNPxAwAAAAAAAOUISTEAAAAAAAA4HZJiAAAAAAAAcDokxQAAAAAAAOB0SIoBAAAAAADA6ZAUAwAAAAAAgNMhKQYAAAAAAACnQ1IMAAAAAAAAToekGAAAAAAAAJwOSTEAAAAAAAA4HZJiAAAAAAAAcDokxQAAAAAAAOB0SIoBAAAAAADA6ZAUAwAAAAAAgNMhKQYAAAAAAACnQ1IMAOBwLly4oFGjRqlVq1YKDQ1V3759dfLkScv6w4cPKzo6Ws2aNVNUVJRWrVpltb/JZNLcuXPVunVrNWvWTC+++KJ+//13W1cDAAAAgB2RFAMAOJxBgwbp1KlTWrJkiTZu3ChPT0/17NlT6enpunTpknr16qWaNWtq06ZNGjRokOLi4rRp0ybL/gsXLtS6des0efJkrV+/XiaTSX369FFWVpYdawUAAADAllztHQAAAIVx+fJlVa9eXf369VP9+vUlSQMHDtQ//vEPHT9+XLt27ZKbm5smTZokV1dXBQcHWxJoXbt2VVZWlpYvX66RI0eqbdu2kqTZs2erdevW2r59uzp37mzH2gEAAACwFe4UAwA4lIoVK2rmzJmWhNjFixe1YsUKBQUFqW7dutq7d6/Cw8Pl6vq/731atWqlX3/9VefPn9eRI0d09epVRUREWNb7+fmpYcOG2rNnj83rAwAAAMA+uFMMAOCwXn31Vb333ntyd3fXW2+9JW9vb509e9aSMMsVEBAgSfrzzz919uxZSVK1atXybJO7rqhcXW/9XZOLi9HqX3uyZwz5lV2W2qYsoV1ujrbJH+0CAEDBkRQDADis559/Xs8884zWrl2rQYMGad26dcrIyJC7u7vVdh4eHpKkzMxMpaenS1K+21y+fLnIsRiNBvn7VyjQtn5+XkUupzy4Vf2dvW1uhna5Odomf7QLAAC3R1IMAOCw6tatK0mKjY3VTz/9pDVr1sjT0zPPhPmZmZmSJG9vb3l6ekqSsrKyLP/P3cbLq+gXkSaTWamp1265jYuLUX5+XkpNTVdOjqnIZZWE3FjsIb/6l6W2KUtol5ujbfJnz3bx8/PiDjUAgEMhKQYAcCgXL17Url271L59e8u8YUajUXXr1lVycrKCgoKUnJxstc//x969x1VV5v3/f7M5CAgoOgpOZhmGZnkAAaUSiWkYJ617yOmuRmo0UUvLRvNUWmqK2YhoamaOmpU6WmFOjnOn1lRTjSJY6RSeD3y1AvKAeOAg7PX7wx972oIHTnuz93o9Hw8eyrWutdf1WWuzr70+61rrqvw9JCRE5eXltrJ27drZ1enYsWOd2lZefm0noBUV1muu646uFL/Z983lsF8uj31TPfYLAABXx6UcAIBLOX78uMaMGaOtW7fayi5cuKCcnByFhYUpOjpaO3bsUEVFhW35tm3b1L59e7Vs2VKdOnVSQECAMjMzbcuLioqUk5Oj6Ohoh8YCAAAAwHlIigEAXEp4eLji4uI0Y8YMZWVlad++fZo4caKKioo0aNAgDRgwQGfPntWkSZN04MABrVu3TitWrNDw4cMlXXyWWHJystLS0vTxxx9rz549Gj16tEJDQ5WYmOjk6AAAAAA4CrdPAgBcTnp6uubMmaPRo0frzJkzioqK0qpVq/TLX/5SkrR06VKlpqYqKSlJrVq10vjx45WUlGRbf9SoUSovL9fkyZNVUlKi6OhoLVu2TN7e3s4KCQAAAICDkRQDALicwMBATZ06VVOnTq12edeuXbV27drLru/p6alx48Zp3LhxDdRCAAAAAI0dt08CAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdGqcFCssLNQLL7yguLg4RUZG6uGHH1Z2drZt+datW3X//ferW7du6tu3rzZu3Gi3fmlpqaZNm6bY2FhFRETomWee0cmTJ+seCQAAAAAAAHCNapwUGzNmjL7++mulp6crIyNDt9xyi4YMGaJDhw7p4MGDGj58uHr37q1169bpgQce0Pjx47V161bb+lOnTtUXX3yhBQsW6M0339ShQ4c0atSoeg0KAAAAAAAAuJIaJcVyc3P15ZdfaurUqYqKilL79u31/PPPq3Xr1tqwYYPefPNNdezYUaNHj1ZYWJiGDBmivn37aunSpZKk/Px8rV+/XpMnT1ZUVJS6du2q9PR0ZWVl6euvv26QAAEAAACgob3++ut65JFH7Mp2796t5ORkde/eXQkJCXrrrbfsllutVs2fP1+9e/dW9+7dNXToUB09etSRzQYAU6tRUiw4OFhLlixRly5dbGUeHh7y8PBQUVGRsrOzFRsba7dOr169tGPHDhmGoR07dtjKKrVv314hISHKysqqSxwAAAAA4BSrVq3SvHnz7MpOnTqlwYMHq127dsrIyNDIkSOVlpamjIwMW51FixZp9erVmj59utasWSOr1aqUlBSVlZU5OAIAMCevmlQOCgpSnz597Mo2bdqk3NxcPffcc3r//fcVGhpqt7x169YqLi7WqVOnlJ+fr+DgYDVp0qRKnby8vFqGcJGXl3vOGeDpabH7ty6v4Qx13XZ9xO+qzBy7RPxmjx8AAFeQn5+vKVOmKDMzUzfeeKPdsnfeeUfe3t568cUX5eXlpbCwMOXm5mrJkiUaMGCAysrKtHz5co0dO1bx8fGSpLlz56p3797avHmz+vfv7/iAAMBkapQUu9RXX32lZ599VomJiYqPj1dJSYl8fHzs6lT+XlZWpuLi4irLJalJkyYqLS2tdTssFg8FBzet9fquICjIz9lNqJX6arerxl8fzBy7RPxmjx8AgMbsu+++k7e3tz744AO9+uqr+v77723LsrOzFRMTIy+v/55y9erVS6+//rqOHz+uH374QefOnbO70yYoKEidO3dWVlZWnZJiDT1goL4u3nHxzzFqup/NdnGWeM2t1kmxjz76SGPHjlVkZKTS0tIkXUxuXTrUt/J3Pz8/+fr6VjsUuLS0VH5+tT/xs1oNFRWdr/X6jZmnp0VBQX4qKipWRYW1Tq/hDHVpt1Q/8bsqM8cuEX9N4w8K8qNjAwDAwRISEpSQkFDtsry8PIWHh9uVtW7dWpL0448/2u6UadOmTZU6dbmLxpEDBrh45xpqe5zMdnyJ15xqlRRbuXKlUlNT1bdvX7388su20V9t2rRRQUGBXd2CggL5+/srMDBQoaGhKiwsVFlZmd2IsYKCAoWEhNQhDKm83L1PmisqrC4ZY32121Xjrw9mjl0ifrPHDwCAq6ruLprKx8iUlpaquLhYkqqtc/r06Vpv1xEDBurr4qUzL96bSU2Pk9kuThOv+6nJgIEaJ8UqHwT5yCOPaNKkSfLw8LAti4qK0vbt2+3qb9u2TZGRkbJYLOrRo4esVqt27NhhGyZ8+PBh5efnKzo6uqZNAQAAAIBGqbq7ZCofGePv7y9fX19JF++sqfx/ZZ263EUjOW7AABfvXENtj5PZji/xmlON7rU5fPiwZs6cqV//+tcaPny4jh8/rp9++kk//fSTzpw5o0ceeUS7du1SWlqaDh48qOXLl+vDDz9USkqKJCkkJET9+vXT5MmTlZmZqV27dmnMmDGKiYlR9+7dGyI+AAAAAHC40NDQau+ikS6eF1XeNlldnbreRQMAuDY1Gim2adMmXbhwQVu2bNGWLVvsliUlJWnWrFlatGiRZs+erTfffFNt27bV7Nmz7R4eOX36dM2cOVNPPvmkJCkuLk6TJ0+uh1AAAAAAoHGIjo7WmjVrVFFRIU9PT0kX76Jp3769WrZsqcDAQAUEBCgzM1Pt2rWTJBUVFSknJ0fJycnObDoAmEaNkmKPP/64Hn/88SvWiYuLU1xc3GWX+/v7a8aMGZoxY0ZNNg0AAAAALmPAgAFaunSpJk2apJSUFO3atUsrVqzQtGnTJF18llhycrLS0tLUokULXXfddZo9e7ZCQ0OVmJjo5NYDgDnUevZJAAAAAED1WrZsqaVLlyo1NVVJSUlq1aqVxo8fr6SkJFudUaNGqby8XJMnT1ZJSYmio6O1bNkyeXt7O7HlAGAeJMUAAAAAoI5mzZpVpaxr165au3btZdfx9PTUuHHjNG7cuIZsGkzuWmfhu7R+Tdf7OavVkNVq1Hp9wFFIigEAAAAA4GaaBzaR1WooKKh2s5nWdj3p4syGhYXnSYyh0SMpBgAAAACAmwnw85bF4qG0VTt0LP+Mw7bbNiRQYwf2kMXiQVIMjR5JMQAAAAAA3NSx/DM6+P1pZzcDaJRqf5MwAAAAAAAA4KJIigEAAAAAAMB0SIoBAFxOYWGhXnjhBcXFxSkyMlIPP/ywsrOzbcu3bt2q+++/X926dVPfvn21ceNGu/VLS0s1bdo0xcbGKiIiQs8884xOnjzp6DAAAAAAOBFJMQCAyxkzZoy+/vprpaenKyMjQ7fccouGDBmiQ4cO6eDBgxo+fLh69+6tdevW6YEHHtD48eO1detW2/pTp07VF198oQULFujNN9/UoUOHNGrUKCdGBAAAAMDReNA+AMCl5Obm6ssvv9Tq1avVo0cPSdLzzz+vzz//XBs2bNCJEyfUsWNHjR49WpIUFhamnJwcLV26VLGxscrPz9f69eu1ePFiRUVFSZLS09PVt29fff3114qIiHBabAAAAAAch5FiAACXEhwcrCVLlqhLly62Mg8PD3l4eKioqEjZ2dmKjY21W6dXr17asWOHDMPQjh07bGWV2rdvr5CQEGVlZTkmCAAAAABOx0gxAIBLCQoKUp8+fezKNm3apNzcXD333HN6//33FRoaare8devWKi4u1qlTp5Sfn6/g4GA1adKkSp28vLw6tc3L68rXmjw9LXb/OpMz21DdthvTvmlM2C+Xx76pHvsFAIBrR1IMAODSvvrqKz377LNKTExUfHy8SkpK5OPjY1en8veysjIVFxdXWS5JTZo0UWlpaa3bYbF4KDi46TXVDQryq/V23MGV4jf7vrkc9svlsW+qx34BAODqSIoBAFzWRx99pLFjxyoyMlJpaWmSLia3ysrK7OpV/u7n5ydfX98qy6WLM1L6+dX+JNJqNVRUdP6KdTw9LQoK8lNRUbEqKqy13lZ9qGyLM1QXf2PaN40J++Xy2DfVc+Z+CQryY4QaAMClkBQDALiklStXKjU1VX379tXLL79sG/3Vpk0bFRQU2NUtKCiQv7+/AgMDFRoaqsLCQpWVldmNGCsoKFBISEid2lRefm0noBUV1muu646uFL/Z983lsF8uj31TPfYLAABXx6UcAIDLWb16taZPn66BAwcqPT3dLrkVFRWl7du329Xftm2bIiMjZbFY1KNHD1mtVtsD9yXp8OHDys/PV3R0tMNiAAAAAOBcJMUAAC7l8OHDmjlzpn79619r+PDhOn78uH766Sf99NNPOnPmjB555BHt2rVLaWlpOnjwoJYvX64PP/xQKSkpkqSQkBD169dPkydPVmZmpnbt2qUxY8YoJiZG3bt3d25wAAAAAByG2ycBAC5l06ZNunDhgrZs2aItW7bYLUtKStKsWbO0aNEizZ49W2+++abatm2r2bNnKzY21lZv+vTpmjlzpp588klJUlxcnCZPnuzQOAAAAAA4F0kxAIBLefzxx/X4449fsU5cXJzi4uIuu9zf318zZszQjBkz6rt5AAAAAFwESTEnsFg8ZLF4XFPdyhl86jKTD7MAAQAAAAAA2CMp5mAWi4eaN/evcaIqKMivgVoEAAAAAABgPiTFHMxi8ZCnp0Vpq3boWP4Zh2wzslNrPXpPZ4dsCwAAAAAAwBWQFHOSY/lndPD70w7ZVtvWAQ7ZDgAAAAAAgKvgYVMAAAAAAAAwHZJiAAAAAAAAMB2SYgAAAAAAADAdkmIAAAAAAAAwHZJiAAAAAAAAMB2SYgAAAAAAADAdL2c3AO7N07NuedfK9WvyOlarIavVqNN2AQAAAACAeyMphgbRPLCJrFZDQUF+9fJ6NXmdigqrCgvPkxgDAAAAAACXRVIMDSLAz1sWi4fSVu3QsfwzDttu25BAjR3YQxaLB0kxAAAAAABwWSTF0KCO5Z/Rwe9PO7sZANCoWSweslg8HLrNut7eDgAAALi6OiXFXn/9dX3xxRd6++23bWW7d+9Wamqqvv32W7Vo0UKDBg3So48+altutVq1cOFCvfvuuzpz5oyio6P1wgsv6Prrr69LUwAAcEkWi4eaN/cnSQUAAAA4WK2TYqtWrdK8efMUFRVlKzt16pQGDx6shIQETZs2Td98842mTZumpk2basCAAZKkRYsWafXq1Zo1a5ZCQ0M1e/ZspaSkaMOGDfLx8al7RAAAuBCLxUOenhaH324e2am1Hr2ns8O2BwBmlZ+fr7i4uCrlL730ku6///6rDioAADScGifF8vPzNWXKFGVmZurGG2+0W/bOO+/I29tbL774ory8vBQWFqbc3FwtWbJEAwYMUFlZmZYvX66xY8cqPj5ekjR37lz17t1bmzdvVv/+/esjJgAAXI6jbzdv2zrAYdsCADPbs2ePmjRpoo8++kgeHv+9VT4wMPCaBhUAABpOje/V+O677+Tt7a0PPvhA3bp1s1uWnZ2tmJgYeXn9N9fWq1cvHTlyRMePH9eePXt07tw5xcbG2pYHBQWpc+fOysrKqkMYAAAAAND47Nu3TzfeeKNat26tVq1a2X58fX3tBhWEhYVpwIABGjRokJYsWeKUtlosHvLyslz1p/KWf0/Pq9e9ltcBAGep8UixhIQEJSQkVLssLy9P4eHhdmWtW7eWJP3444/Ky8uTJLVp06ZKncplteXl5RofqHzwO4Y77Oeff9kwI+I3d/wAALiLvXv3KiwsrNpllxtU8Prrr+v48eP6xS9+4ahm1uoZl0FBfg3YIgBoePU6+2RJSUmV54I1adJEklRaWqri4mJJqrbO6dO1v2XEYvFQcHDTWq8P9+NOHbQ7xVIbxG/u+AEAcHX79u1TcHCwBg4cqMOHD+uGG27QE088obi4uKsOKqhtUqw2AwY8PS0Of8Ylz7d0b65ycddsF6PNFu/V1GtSzNfXV2VlZXZlpaWlkiR/f3/5+vpKksrKymz/r6zj51f7Ez+r1VBR0flar+9Inp4WTnIdoKioWBUVVmc3o04q3yvuEEttEH/N4g8K8qNjAwCgkSkvL9ehQ4fUoUMHTZw4UQEBAdq4caOGDRumN95446qDCmqjrgMGHPmMS55v6d5c7bzX1dpbV2aL93LqNSkWGhqqgoICu7LK30NCQlReXm4ra9eunV2djh071mnb5eXmO2nG5VVUWN3mPeFOsdQG8Zs7fgAAXJmXl5cyMzPl6elpGxRw2223af/+/Vq2bNlVBxXURm0HDHDxHvXt7NkSWa2Gw7ZntRoyjJpvz2wX480Qb00GDNRrUiw6Olpr1qxRRUWFPD09JUnbtm1T+/bt1bJlSwUGBiogIECZmZm2pFhRUZFycnKUnJxcn00BAAAAAKdr2rTqqK2bb75ZX3zxxVUHFdQWF9TgTM0Dm8hqNRQQ4Hv1yvWoosKqwsLztU7Eme1itNnivZx6TYoNGDBAS5cu1aRJk5SSkqJdu3ZpxYoVmjZtmqSLzxJLTk5WWlqaWrRooeuuu06zZ89WaGioEhMT67MpAAAAAOBU+/fv14MPPqjXXntNPXv2tJV/++236tChg2655ZYrDioAXFGAn7csFg+HPp+ubUigxg7sIYvFw6Gj0+D66jUp1rJlSy1dulSpqalKSkpSq1atNH78eCUlJdnqjBo1SuXl5Zo8ebJKSkoUHR2tZcuWydvbuz6bAgAwiddff11ffPGF3n77bVvZ7t27lZqaqm+//VYtWrTQoEGD9Oijj9qWW61WLVy4UO+++67OnDmj6OhovfDCC7r++uudEQIAwE2FhYXppptu0osvvqhp06YpODhY77zzjr755htlZGTYzp8uN6gAcGWOfD4dUFt1SorNmjWrSlnXrl21du3ay67j6empcePGady4cXXZNAAAWrVqlebNm6eoqChb2alTpzR48GAlJCRo2rRp+uabbzRt2jQ1bdpUAwYMkCQtWrRIq1ev1qxZsxQaGqrZs2crJSVFGzZsqPLAYwAAastisWjx4sWaM2eO/vSnP6moqEidO3fWG2+8YZt18mqDCgAADadeR4oBAOAI+fn5mjJlijIzM3XjjTfaLXvnnXfk7e2tF198UV5eXgoLC1Nubq6WLFmiAQMGqKysTMuXL9fYsWMVHx8vSZo7d6569+6tzZs3q3///o4PCADgtn7xi1/opZdeuuzyqw0qAAA0nGt7HD8AAI3Id999J29vb33wwQfq1q2b3bLs7GzFxMTIy+u/13169eqlI0eO6Pjx49qzZ4/OnTun2NhY2/KgoCB17txZWVlZDosBAAAAgHMxUgwA4HISEhKUkJBQ7bK8vDzbLSmVWrduLUn68ccflZeXJ0lq06ZNlTqVy2rLy+vK15oqp4b++RTR1zpdtDupLubq9g3YL1fCvqke+wUAgGtHUgwA4FZKSkqqPBesSZMmkqTS0lIVFxdLUrV1Tp+u/cNgLRYPBQc3vaa6QUF+td6OO7hS/GbfN5fDfrk89k312C8AAFwdSTEAgFvx9fVVWVmZXVlpaakkyd/fX76+vpKksrIy2/8r6/j51f4k0mo1VFR0/op1PD0tCgryU1FRsSoqrHZlZvLz+CtVt2/AfrkS9k31nLlfgoL8GKEGAHApJMUAAG4lNDRUBQUFdmWVv4eEhKi8vNxW1q5dO7s6HTt2rNO2y8uv7QS0osJ6zXXd0ZXiN/u+uRz2y+Wxb6rHfgEA4Oq4lAMAcCvR0dHasWOHKioqbGXbtm1T+/bt1bJlS3Xq1EkBAQHKzMy0LS8qKlJOTo6io6Od0WQAAAAATkBSDADgVgYMGKCzZ89q0qRJOnDggNatW6cVK1Zo+PDhki4+Syw5OVlpaWn6+OOPtWfPHo0ePVqhoaFKTEx0cusBAAAAOAq3TwIA3ErLli21dOlSpaamKikpSa1atdL48eOVlJRkqzNq1CiVl5dr8uTJKikpUXR0tJYtWyZvb28nthwAAACAI5EUAwC4tFmzZlUp69q1q9auXXvZdTw9PTVu3DiNGzeuIZsGAAAAoBHj9kkAAAAAAACYjqlHilksHrJYPBy6TaapBgAAAAAAcD7TJsUsFg81b+5PkgoAAAAAAMCETJ0U8/S0KG3VDh3LP+Ow7UZ2aq1H7+nssO0BAAAAAACgKtMmxSodyz+jg9+fdtj22rYOcNi2AAAAAAAAUD3uHQQAAAAAAIDpkBQDAAAAAACA6ZAUAwAAAAAAgOmY/pliAADAsaqb+bmyrCFmhbZaDVmtRr2/LgAAAFwbSTEAAOAQzQObyGo1FBTkd9k6V1pWWxUVVhUWnicxBgAAADskxQAAgEME+HnLYvFQ2qodOpZ/xiHbbBsSqLEDe8hi8SApBgAAADskxeCWGuL2myvh1hwAuHbH8s/o4Pennd0MAAAAmBxJMbiVa7k1pyFwaw4AAAAAAK6FpBjcCrfmAAAAAACAa0FSDG6JW3MAAAAAAMCVOPbBSwAAAAAAAEAjQFIMAAAAAAAApsPtkwAAwO05elZiiZmJAQAAGjuSYgAAwG05a1ZiiZmJAQBwtNpcBKtcpzbrcgHM9ZEUAwAAbssZsxJLzEwMAIAj1cdFsNqsywUw10dSDAAAuD1mJQYAwH054yIYF8DcA0kxAAAAAADg8rgIhppi9kkAAAAAAACYjlOSYlarVfPnz1fv3r3VvXt3DR06VEePHnVGUwAAJkVfBABoDOiPAMB5nJIUW7RokVavXq3p06drzZo1slqtSklJUVlZmTOaAwAwIfoiuCOLxUNeXhaH/lgsHs4OG3Bp9EeAa/P0dGy/S99bvxz+TLGysjItX75cY8eOVXx8vCRp7ty56t27tzZv3qz+/fs7uklAvajNFL7X8npXel2mAAZqh74IjlLXvqEm08R7eHgoMNC33vujq2HmLaD26I8A11UfM17WFn1v/XF4UmzPnj06d+6cYmNjbWVBQUHq3LmzsrKy+OCHy2noD8MrvS4fhkDt0BehodV331CT13HGzFve3p6qqLA6ZJuVPDwcf5XcYvFw+NV5LoC5N/ojwHU5Y8ZLqe59b00uuDUGDd0PehiG4dBedvPmzXrqqae0c+dO+fr62sqffvpplZSU6PXXX6/xaxpGzXeSh4dksVhUeKZU5Q78EtfEx1OB/j4O3a5Ztums7VZu8+z5MlU48Eurp8VDAf4+slodexLiSBaLxa3jq07lJ3LlZ5TVatW1fEpbLB5OOUF0Vc7qi6o7rvRH7rfNn2/XkX2Dt5dF/r7eDo3Vx9uiQH8fp3z+GIYhDw8Ph/YTHh6O/6w1DEM1/bpeH/1nbc4Q6ItqrrGcG0nO6Y+c/Rnt7rGyf91vm5Lz+t7KftfRavOZVpP+yOEjxYqLiyVJPj4+duVNmjTR6dO1mzrVw8NDnp61OzjNA5vUar26csZ2zbJNZ203wN/n6pUagMXiGhn+2nL3+K7G7PE3FGf3RdUdVzN9Xpplm5Jz+gZnxepolV923f1zsraJOHffL+7C2f1Rdcz0GW2WWNm/7rdNZ3DWRY+6fqZdjcN7y8orIJc+OLK0tFR+fo6/FxcAYD70RQCAxoD+CACcy+FJsTZt2kiSCgoK7MoLCgoUEhLi6OYAAEyIvggA0BjQHwGAczk8KdapUycFBAQoMzPTVlZUVKScnBxFR0c7ujkAABOiLwIANAb0RwDgXA5/ppiPj4+Sk5OVlpamFi1a6LrrrtPs2bMVGhqqxMRERzcHAGBC9EUAgMaA/ggAnMvhSTFJGjVqlMrLyzV58mSVlJQoOjpay5Ytk7e3tzOaAwAwIfoiAEBjQH8EAM7jYdR0jmcAAAAAAADAxTFXMwAAAAAAAEyHpBgAAAAAAABMh6QYAAAAAAAATIekGAAAAAAAAEyHpBgAAAAAAABMh6QYAAAAAAAATIekGAAAAAAAAEyHpFgjUVhYqBdeeEFxcXGKjIzUww8/rOzsbNvyrVu36v7771e3bt3Ut29fbdy40YmtbTiHDx9WRESE1q1bZyvbvXu3kpOT1b17dyUkJOitt95yYgsbzvr163XPPfeoS5cu6tevn/7v//7PtuzYsWMaPny4IiMjdeedd2revHmqqKhwYmvrT3l5uV555RXdddddioiI0MCBA/XNN9/Ylrvz8X/99df1yCOP2JVdLV6r1ar58+erd+/e6t69u4YOHaqjR486stmoJbMeu7r2b6WlpZo2bZpiY2MVERGhZ555RidPnnR0GA2qNn2fu7+f6tonrlq1Sr/61a/UtWtX/eEPf1BOTo6jQ6h3de0v3f09g4ZhtnOUEydOaNy4cerVq5ciIiI0bNgwHTx40Lbcnb+XmuE8LD8/Xx07dqzyUxmzu8Urmfccs0YMNAqDBw82+vfvb2RlZRmHDh0ypk2bZnTt2tU4ePCgceDAAaNLly5Genq6ceDAAWPp0qVG586djX//+9/Obna9KisrM+6//34jPDzcyMjIMAzDME6ePGn07NnTePbZZ40DBw4Y7733ntGlSxfjvffec3Jr69f69euNzp07GytXrjRyc3ONRYsWGZ06dTK++uoro6yszEhMTDSGDRtm7N2719iyZYsRExNjvPLKK85udr2YP3++cccddxiff/65ceTIEWPSpElGjx49jPz8fLc+/itXrjQ6depkJCcn28quJd4FCxYYPXv2ND755BNj9+7dxmOPPWYkJiYapaWlzggDNWDWY1fX/m3ixInG3XffbWRlZRk7d+40fve73xkDBw50YkT1q7Z9nzu/n+raJ65bt87o2rWr8be//c3Yv3+/MW7cOCMmJsY4ceKEE6Oqu7r2l+78nkHDMds5yoMPPmg88MADxs6dO40DBw4YTz31lHHnnXca58+fd+vvpWY5D/v000+NLl26GPn5+UZBQYHtp7i42C3jNfM5Zk2QFGsEjhw5YoSHhxvZ2dm2MqvVatx9993GvHnzjOeff974/e9/b7fOmDFjjMcee8zRTW1Qc+bMMR599FG7D+PFixcbd955p3HhwgW7eomJic5qZr2zWq3GXXfdZcyaNcuu/LHHHjMWL15sbNiwwbjtttuMwsJC27I1a9YYkZGRbvFF9r777jNeeukl2+9nzpwxwsPDjU2bNrnl8c/LyzOGDx9udO/e3ejbt69dUuxq8ZaWlhoRERHGqlWrbMtPnz5tdO3a1diwYYPjgkCNmfXY1bV/y8vLMzp16mR8+umntuWHDh0ywsPDja+++soxQTSw2vR97vx+qo8+MTEx0fjzn/9sW37hwgWjT58+xuLFix0TRAOpS3/pzu8ZNByznaMUFhYaY8aMMfbu3Wsr2717txEeHm7s3LnTLb+XVjLLediSJUuMe++9t9pl7hav2c8xa4LbJxuB4OBgLVmyRF26dLGVeXh4yMPDQ0VFRcrOzlZsbKzdOr169dKOHTtkGIajm9sgsrKytHbtWs2aNcuuPDs7WzExMfLy8rKV9erVS0eOHNHx48cd3cwGcfjwYX3//fe699577cqXLVum4cOHKzs7W7feequaNWtmW9arVy+dPXtWu3fvdnRz613Lli31ySef6NixY6qoqNDatWvl4+OjTp06ueXx/+677+Tt7a0PPvhA3bp1s1t2tXj37Nmjc+fO2X0eBAUFqXPnzsrKynJYDKg5sx67uvZvO3bssJVVat++vUJCQtxiv9W273Pn91Nd+8QTJ07oyJEjdvvGy8tLUVFRLr9v6tJfuvN7Bg3HbOcozZo105w5cxQeHi5JOnnypFasWKHQ0FB16NDBLb+XSuY6D9u7d6/CwsKqXeZu8Zr9HLMmSIo1AkFBQerTp498fHxsZZs2bVJubq569+6tvLw8hYaG2q3TunVrFRcX69SpU45ubr0rKirS+PHjNXnyZLVp08Zu2eVil6Qff/zRYW1sSIcPH5YknT9/XkOGDFFsbKweeOAB/fOf/5Tk/vtg0qRJ8vb21q9+9St16dJFc+fO1fz589WuXTu3jD0hIUELFizQ9ddfX2XZ1eLNy8uTpCp/J61bt7YtQ+Nk1mNX1/4tPz9fwcHBatKkSZU6rr7f6tL3ufP7qa59ojvvm7r0l+68X9BwzHyO8vzzzys2NlYbN25Uamqq/P393fJ7qdnOw/bt26eTJ09q4MCBuv322/Xwww/rX//6lyT3i9fs55g1QVKsEfrqq6/07LPPKjExUfHx8SopKbHrjCTZfi8rK3NGE+vV1KlTFRERUSWLLana2CtPjkpLSx3SvoZ29uxZSdKECRPUv39/LV++XHfccYdGjBihrVu3uv0+OHDggAIDA/Xqq69q7dq1uv/++zV27Fjt3r3b7WO/1NXiLS4ulqRq67jj/nAnHLuLatq/FRcXV1kuucd+q0vf587vp7r2ie68b+rSX7rzfoHjmOkc5Y9//KMyMjLUv39/jRw5Ut99951bfi8103lYeXm5Dh06pNOnT+upp57SkiVL1L17dw0bNswtz7nMfo5ZE15XrwJH+uijjzR27FhFRkYqLS1N0sU356UdS+Xvfn5+Dm9jfVq/fr2ys7O1YcOGapf7+vpWib3yj9Tf37/B2+cI3t7ekqQhQ4YoKSlJknTLLbcoJydHb7zxhlvvgx9//FHPPPOMVqxYoaioKElSly5ddODAAS1YsMCtY6/O1eL19fWVdPHvv/L/lXVc/bPA3XHsate/Vfc3Ibn+fqtr3+fO76e69ok/3zeX1nHlfVPX/tKd3zNwDLOdo3To0EGSlJqaqp07d2rlypVu973UbOdhXl5eyszMlKenp+1z8LbbbtP+/fu1bNkyt4vXzOeYNcVIsUZk5cqVeuqpp3TXXXdp8eLFtkxtmzZtVFBQYFe3oKBA/v7+CgwMdEZT601GRoZOnDih+Ph4RUREKCIiQpI0ZcoUpaSkKDQ0tNrYJSkkJMTh7W0IlXFUPr+gUocOHXTs2DG33gc7d+7UhQsX7J5VIUndunVTbm6uW8denavFWzmsvbo67rg/3InZj11t+7fQ0FAVFhZW+dLm6vutrn2fO7+f6tonuuu+qWt/6a77BY5hlnOUkydPauPGjSovL7eVWSwWdejQQQUFBW73vdSM52FNmza1uzAgSTfffLPy8/PdLl4zn2PWFEmxRmL16tWaPn26Bg4cqPT0dLuhjFFRUdq+fbtd/W3btikyMlIWi2sfwrS0NP3jH//Q+vXrbT+SNGrUKKWmpio6Olo7duxQRUWFbZ1t27apffv2atmypZNaXb9uvfVWNW3aVDt37rQr37dvn9q1a6fo6Gjl5OTYhsBKF/dB06ZN1alTJ0c3t15V3se+d+9eu/J9+/bpxhtvNMXx/7mrxdupUycFBAQoMzPTtryoqEg5OTmKjo52RpNxjcx87OrSv/Xo0UNWq9X2wH3p4jMy8vPzXXq/1bXvc+f3U137xJYtW6p9+/Z2+6a8vFzZ2dkuvW/q2l+683sGDctM5yjHjx/XmDFjtHXrVlvZhQsXlJOTo7CwMLf7Xmq287D9+/crMjLS7nNQkr799lt16NDB7eI18zlmjTl59ksYF6eXv/XWW42RI0caBQUFdj9FRUXGvn37jFtvvdWYPXu2ceDAAWPZsmVG586djX//+9/ObnqD+PlUwMePHzeio6ONCRMmGPv37zcyMjKMLl26GOvWrXNyK+vXq6++akRERBgbNmwwcnNzjUWLFhmdOnUytm3bZpSUlBh33323MWTIEGP37t3Gli1bjJiYGGPBggXObnadVVRUGA8//LDRt29fY+vWrcbhw4eNuXPnGrfccovxzTffuP3xnzBhgpGcnGz7/VriTU9PN2JiYoyPPvrI2L17t/HYY48ZiYmJRllZmTNCQA2Y8djVR/82ZswYIyEhwdi2bZuxc+dO43e/+53d3427qGnf587vp7r2iWvXrjW6du1qrFu3zti/f78xbtw4o2fPnsaJEyecGFXd1Ed/6c7vGTQMM56jpKSkGImJicb27duNvXv3GmPGjDGio6ON77//3u2/lxqGe5+HVVRUGAMGDDDuueceIysryzhw4IAxc+ZM47bbbjP27t3rdvEahnnPMWuKpFgj8Nprrxnh4eHV/kyYMMEwDMP47LPPjP79+xu33Xab0bdvX2Pjxo1ObnXD+fmHsWEYxs6dO43//d//NW677TbjrrvuMt5++20ntq7hLF++3EhISDBuvfVW47777jO2bNliW3bkyBFj8ODBRpcuXYw777zTmDdvnlFRUeHE1tafwsJCY+rUqUZ8fLwRERFhPPjgg0ZmZqZtuTsf/0uTYoZx9XjLy8uNP//5z0avXr2M7t27G0OHDjWOHj3qyGajlsx47Oqjfzt37pwxadIkIyoqyoiKijLGjBljnDx50hnhNKia9n3u/n6qa5+4dOlSIy4uzujatavxhz/8wcjJyXF0CPWurv2lu79nUP/MeI5SVFRkTJkyxbjjjjuMrl27Go899pixb98+23J3/l5qGO5/HvbTTz8ZEydONO644w6jS5cuxoMPPmhkZWXZlrtbvIZh3nPMmvAwDMNw9mg1AAAAAAAAwJFc72ZvAAAAAAAAoI5IigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIigEAAAAAAMB0SIoBAAAAAADAdEiKAQAAAAAAwHRIisHhDMNwdhPgBBx3AAAAAEBjQlLMDTzyyCPq2LGj7adTp06KiIjQ/fffr7feekvl5eW2ugkJCZo4cWKNXr8261SnqKhI48ePV3Z2dp1f6+eOHTtmF/+l++C9996rl+2sW7dOHTt21LFjxyRJCxYsUMeOHevltetLdfvi5z/9+/d3eJvy8vI0bNgwff/997ay+npPAYBZPPPMM+rYsaOWL1/u7KYAAEyMC91wN17ObgDqR+fOnTVlyhRJUkVFhU6fPq1//etfeumll5Sdna158+bJYrFo4cKFCggIcEobd+/erb/97W8aMGBAg7z+E088ofj4eEkXP6zPnTund999V5MmTVJ5ebkeeuihet3eAw88oN69e9fra9aXn++Ln/P19XV4W/7973/rs88+sytz5vsQAFzNmTNn9NFHHyk8PFxr167V4MGD5eHh4exmAQBcwI4dO7RixQp99dVXKioqUuvWrRUbG6vBgwcrLCysxq+1ePFi/eUvf2mg1gKOR1LMTQQEBKh79+52ZQkJCbrpppuUmpqqv//977rvvvvUuXNn5zTQAdq1a1dlH9x+++3as2ePVqxYUe9JsdDQUIWGhtbra9aX6vZFY+LO70MAqG9///vfJUmTJk3SH//4R23btk2xsbFObhUAoLFbsmSJ0tPTdeedd+q5555Tq1atlJubq7/+9a9KSkrSSy+9pH79+l3z67377rs6ePBgA7YYcDxun3RzycnJCgkJ0Zo1ayRVvW3t2LFjGj9+vO68807deuutio2N1fjx43Xq1Cm717lw4YJmzJih6OhoRUVFacKECTp58qRdnezsbCUnJ6tbt26KiYmxq5OZmalHH31UkvToo4/qkUcesa330Ucf6f7771eXLl10xx13aMaMGTp//rxteUlJiaZOnaq4uDjddttt6tu3r5YtW3ZN8VssFt1yyy364YcfbGWlpaX685//rD59+ui2227Tvffeq3/84x9261mtVi1atEjx8fHq1q2bRowYodOnT9vVqe72yWXLlulXv/qVunbtqoceekj//Oc/1bFjR2VmZtrW+fWvf62FCxcqJiZGd955p+113333XfXr10+33Xab4uPjtWDBAlVUVFzzPq6JS28FrXTp+6Njx45atWqVJk2apJiYGEVEROjpp5/W8ePH7dZbv369kpKS1K1bN8XHx2vOnDkqKyvTunXr9Oyzz0qSfvWrX9le+9LtnDlzRi+99JLuvvtudenSRf37969y22tCQoLmz5+vl19+Wbfffru6du2qIUOG6MiRIzWOHwBcSUZGhmJjY9WrVy/dcMMNtj79567W/0jSvn37NHz4cEVGRioyMlIjR47U0aNHHRkKAMBBPvnkE82ZM0dPPvmkli5dqn79+ikmJkYPPPCA1q5dq/j4eE2cOFH79+93dlMBpyIp5uYsFotiY2O1a9cuu2eLSVJxcbEeffRRHTx4UFOmTNGyZcv06KOPauPGjZo7d65d3f/7v//Td999p1mzZmnChAn69NNPNXToUFvSJisrS4MGDZKvr6/mzZun5557Ttu3b9ejjz6qkpIS3XrrrXrhhRckSS+88ILtVs8NGzZo5MiRuummm/Tqq6/qySef1AcffKARI0bY7lefOXOm/vWvf2nChAm2L/1//vOflZGRcU374PDhw2rXrp2ki7dVjhw5UmvWrNHgwYP12muvKSIiQqNHj9b69ett68yePVuvvvqqfv/732vhwoVq3ry55syZc8XtLFy4UGlpafrtb3+rRYsWqVu3bvrTn/5Upd4PP/ygzz77THPnztWzzz6rZs2a6fXXX9fzzz+v2NhYLV68WAMHDtRf/vIXPf/887b1rraPf85qtaq8vNzu59IE27WaO3eurFar0tPTNX78eH3yySeaOXOmbfmqVas0YcIE3XrrrVq4cKGGDRumt99+WzNmzFB8fLyeeOIJ2/4ZMWJEldcvKSnRH/7wB23YsEEpKSlatGiRevTooUmTJmnx4sV2dd966y0dOnRIL730kmbMmKFvv/1WEyZMqFVcAOAK9u/fr//85z/63e9+J0n63e9+p48//tju4sS19D+HDx/WQw89pBMnTujll19Wamqqjh49qocfflgnTpxwYEQAAEdYuHChbrrpJo0cObLKMm9vb7344ovy9PTUX/7yF9tzidetW2dXb+LEiUpISLD9//3339f3339vV/fs2bOaPn26evfure7du2vAgAH69NNPba9RUVGhVatW6d5771XXrl0VHx+vtLQ0lZaW2m1nyJAhWrt2re6++27bBZ7Dhw/rk08+0b333qtu3brpgQce0O7du+3aWF+DBmBe3D5pAr/4xS904cIFFRYW2pUfOXJEoaGhevnll3X99ddLknr16qWdO3dq+/btdnWDg4O1bNky+fv7234fOXKk/vWvf+muu+7SnDlz1L59e73++uvy9PSUJHXr1k39+vVTRkaGBg4cqA4dOkiSOnTooA4dOsgwDKWlpal3795KS0uzbevGG2/UoEGD9Nlnnyk+Pl7bt2/XHXfcYRva27NnT/n7+6tly5Z2baxMBFX+Pz8/X2+//bb27NmjqVOnSrr4fKvPP/9cc+fO1T333CNJ6t27t4qLi5WWlqb+/fvr/PnzevvttzV48GA9+eSTtjoFBQX6/PPPq93H58+f11/+8hcNHDhQY8eOlSTdeeedKi4u1tq1a+3qlpeXa8KECYqKipJ0cZTUokWL9OCDD2ry5Mm2dZs3b67Jkydr8ODBuvnmm69pH1eaNGmSJk2aZLddHx8f/ec//6m2/VcSHh6ul156yfb7rl279OGHH9r286uvvqq7775bM2bMsNUpLi7Wxo0bFRgYaEtI3nLLLWrbtm2V11+3bp327dunNWvWKCIiQtLF/V1eXq5FixbpoYceUvPmzSVJQUFBWrRokS3+//f//p8WLFigU6dOKTg4uMaxAUBjl5GRoebNm9tOSpKSkrRgwQK99957evzxx6+5/1m4cKH8/Py0YsUK2zMdY2Njdffdd2vp0qVcYAAAN3Ly5El9++23GjJkyGWfQdm8eXPdfvvt+vjjjzVq1KirvuaIESN08uRJ5eTkaOHChWrXrp0qKir02GOP6ciRIxo1apRuuukmvf/++xo5cqTefPNNRUVF6YUXXtDf/vY3DR06VFFRUcrJydGrr76q3bt3a+nSpbb2ff311yooKNDEiRNVWlqqqVOnatiwYfLw8NCoUaPk5+enKVOmaOzYsdq4caOki4MGBg8erF69emnevHk6ffq0XnnlFT366KN67733nPI8ZbgekmImUDni6tIPxFtuuUWrV6+W1WrVkSNHlJubqwMHDujQoUNVRpX16dPHlhCTLt7K5uXlpaysLFsibciQITIMw7bu9ddfr7CwMH355Zd2CZtKhw4dUl5enoYPH263vejoaAUEBOjLL79UfHy8evbsqTVr1igvL099+vRRnz59qr3iUV0iKDAwUE888YQefPBBSdLWrVvl4eGhPn36VJmV84MPPtD+/fv1008/6cKFC7rrrrvsXuu3v/3tZZNi33zzjUpKStS3b1+78v79+1dJikkX932lr7/+WiUlJUpISKjSJkn68ssv1bZt2xrt4yeffLLKg/YtltoNDL302WShoaEqLi6WdHHkwYkTJ/TrX//ars6QIUM0ZMiQa3r97du367rrrrMlxCrdd999eu+997Rz50716dNHktSlSxdbQqyyLdLFJBxJMQDu5sKFC/rggw909913q6SkRCUlJWratKl69Oihd955R8OGDbvm/mfbtm2KiYmRr6+vrQ8JCAhQVFSU/v3vfzs0LgBAw6qc9f266667Yr0bbrhBH3/8sYqKiq76mu3atVOLFi3k4+NjOz/45JNPtHPnTttFcuniIIujR49q27Ztat68ud577z0988wzGjZsmCTpjjvuUOvWrTV+/Hj961//sn3PP3funObNm2d7+P/27du1Zs0arVixwvYczdzcXL388ssqKipSUFBQjQYNAJdDUswE8vPz5evraxtt83NvvPGGFi9erMLCQv3iF7/QbbfdJj8/P505c8auXqtWrex+t1gsCg4OVlFRkYqKimS1WvWXv/yl2plImjRpUm27KkeuTZs2TdOmTauyvKCgQNLFZFdoaKg++OADTZ8+XdOnT1dERISmTp2qTp062er/PBFksVgUGBiotm3b2iWDCgsLZRiGIiMjq21TQUGBrVO4NMly6T74ucohui1atLArv3Q0W6WmTZvatUmSraO4XJtqso+vu+46denS5bLtrQk/Pz+73y0Wiy3RWtn2y8V5LU6fPl3tvv3FL34hSXaddHVtkS6OWAMAd/Ppp5/qxIkTeu+996o8Z1GSPv/8c1t/fbX+p7CwUP/4xz+qPEOzunUBAK6t8ru6t7f3FetVJpIq69fUjh075O3tbbuYL138fl757MvVq1dLUpWH+ffr10/PPvusMjMzbUmxZs2a2c2GWXku0K1bN1tZ5flsUVGRvL29azUwA7gUSTE3V15erszMTEVGRtqNsJEuPs9r1qxZGjdunO6//37bl+Knn366ym12l956WVFRoVOnTqlly5Zq2rSpPDw8NGjQoGpnL7k0kVEpKChIkjR+/HjFxMRUWd6sWTNJF2/7e+KJJ/TEE0/ohx9+0CeffKJFixbpmWeesQ2dla4tERQYGCh/f3+99dZb1S6/4YYbtGvXLknSiRMndNNNN9mWXboPfq5yxNKl61zL/eyV+yEtLU033nhjleW/+MUvar2PL6dy1OClyaRz587V6HUq235pnKdOnVJOTk6V0V/VadasmXJzc6uU//TTT5KqJicBwCwyMjJ0/fXXKzU11a7cMAw9+eSTWrNmjW1U7tX6n8DAQN1+++0aPHhwle14efF1EADcSeUIscoRY5dz9OhRNW3a1HbeVVOFhYVq3rz5Ze9IqZxQ7NIL4F5eXgoODrYbiFF5a/+lfn630s/VdmAGcCketO/m1q5dq59++kkPP/xwlWU7duxQUFCQUlJSbAmxc+fOaceOHVWSJV9++aXdrX2bNm1SeXm5evbsqYCAAHXu3FmHDh1Sly5dbD8333yzFixYYJv56tKk3E033aSWLVvq2LFjduuFhIRozpw5ysnJUUlJiX7zm99o+fLlkqRf/vKXGjhwoPr162c3o+S1iomJ0fnz52UYht029+3bp1dffVXl5eWKiIiQr6+v7blZlT755JPLvm6nTp0UGBioLVu22JVv3rz5qm3q1q2bvL29lZ+fb9cmLy8vpaen69ixY9e8j69VZaeTl5dnKzt48OAVE3/VuemmmxQcHFxl3/ztb3/TsGHDdOHChavethkdHa3vv/9eX3/9tV35Bx98IG9vb3Xt2rVGbQIAd/DTTz/p888/V79+/dSzZ0+7n169eqlv37767LPP1KZNm2vqf2JiYnTgwAHdcssttj7ktttu04oVK6qsCwBwbS1btlT37t21adOmy95RcfbsWX355ZdKSEiwXTC/dGKu8+fPX3E7gYGBtjtxfi4nJ0ffffedLdlWebG70oULF+r8TODKQQODBw+2jaj++c+sWbNq/dowFy4NuomzZ8/qm2++kXRx9M+pU6f0xRdfaO3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\n",
+      "text/plain": [
+       "<Figure size 1500x1000 with 9 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "diabetes_data.hist(figsize=(15, 10))\n",
+    "plt.subplots_adjust(hspace=0.5);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Plot the correlation matrix heatmap"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Correlation between various features\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,10))\n",
+    "print('Correlation between various features')\n",
+    "p=sns.heatmap(diabetes_data.corr(), annot=True,cmap ='Blues')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Define the `y` variable as the `Outcome` column.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.preprocessing import StandardScaler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y=diabetes_data['Outcome']\n",
+    "X=diabetes_data.drop('Outcome',axis=1)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Create a 70/30 train and test split. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.30, random_state=42)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Using Sklearn, standarize the magnitude of the features by scaling the values. </font>**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note: Don't forget to fit() your scaler on X_train and then use that fitted scaler to transform() X_test. This is to avoid data leakage while you standardize your data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scale = StandardScaler().fit(X_train)\n",
+    "X_train = scale.transform(X_train)\n",
+    "X_test = scale.transform(X_test)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Using a range of neighbor values of 1-10, apply the KNearestNeighbor classifier to classify the the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "\n",
+    "\n",
+    "test_scores = []\n",
+    "train_scores = []\n",
+    "\n",
+    "for i in range(1,10):\n",
+    "\n",
+    "    knn = KNeighborsClassifier(i)\n",
+    "    knn.fit(X_train,y_train)\n",
+    "    \n",
+    "    train_scores.append(knn.score(X_train,y_train))\n",
+    "    test_scores.append(knn.score(X_test,y_test))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Print the train and test scores for each iteration.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "train scores: [1.0, 0.851024208566108, 0.8547486033519553, 0.8417132216014898, 0.839851024208566, 0.8230912476722533, 0.8342644320297952, 0.8212290502793296, 0.8268156424581006]\n",
+      "test scores: [0.6666666666666666, 0.670995670995671, 0.670995670995671, 0.6926406926406926, 0.7012987012987013, 0.683982683982684, 0.7316017316017316, 0.7359307359307359, 0.7316017316017316]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('train scores:', train_scores)\n",
+    "\n",
+    "print('test scores:' ,test_scores)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Identify the number of neighbors that resulted in the max score in the training dataset. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Identify the number of neighbors that resulted in the max score in the testing dataset. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "8"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "Plot the train and test model performance by number of neighbors."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12,5))\n",
+    "p = sns.lineplot(data=train_scores,marker='*',label='Train Score')\n",
+    "p = sns.lineplot(data=test_scores,marker='o',label='Test Score')\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Fit and score the best number of neighbors based on the plot. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier(n_neighbors=8)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier(n_neighbors=8)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "KNeighborsClassifier(n_neighbors=8)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "knn = KNeighborsClassifier(n_neighbors = 8)\n",
+    "knn.fit(X_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.metrics import confusion_matrix\n",
+    "y_pred = knn.predict(X_test)\n",
+    "pl = confusion_matrix(y_test,y_pred)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Plot the confusion matrix for the model fit above. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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x+uazf29c/H3TJm4/X0jDBvU1fvTjGj/68eoqD/Ca9FdXKP3VFcb3rVr1tlatersGKoLX+XgQjIiIUHFxsdu1cz+Hh4ervLy88lpkZKTbe66++mrb9/nZD3cKCAhQTAxfxgIAgK+IjY1VRkaGKioqKp+XtHHjRkVHRys0NFT169dXvXr1tGnTpsrQcOLECeXm5qp3796278O3XAIAYOJ0eeZVTRISEnTq1CklJydrz549euONN5Senq7ExERJ1l6G3r17Ky0tTVlZWdq5c6eGDx+uiIgIdevWzfZ9eIw0AAAmPv4Y6dDQUC1cuFBTpkxRz5491bhxY40ZM0Y9e/asfE9SUpLKy8uVkpKikpISxcbGatGiRQoICLB9Hz/X+b7q0MvKjnzv7RIAnxRyRRdvlwD4nHJHvvlNF+n0U/d75HPqTn7dI5/jLXQaAAAw8fHTEzWF0AAAgIEvPEbaF7AREgAA2EKnAQAAE8YTkggNAACYERokERoAADDz8SOXNYU9DQAAwBY6DQAAmDCekERoAADAyEVokMR4AgAA2ESnAQAAEzoNkggNAACY8URISYwnAACATXQaAAAwYTwhidAAAIAZoUES4wkAAGATnQYAAAxcLjoNEqEBAAAzxhOSCA0AAJgRGiSxpwEAANhEpwEAAAO+e8JCaAAAwITQIInxBAAAsIlOAwAAJnz1hCRCAwAARuxpsDCeAAAAttBpAADAhE6DJEIDAABm7GmQxHgCAADYRKcBAAADNkJaCA0AAJgwnpBEaAAAwIhOg4U9DQAAwBY6DQAAmDCekERoAADAyEVokMR4AgAA2ESnAQAAEzoNkggNAAAYMZ6wMJ4AAAC20GkAAMCEToMkQgMAAEaMJyyMJwAAgC10GgAAMKDTYCE0AABgQGiwEBoAADBx+Xm7Ap/AngYAAGALnQYAAAwYT1gIDQAAGLicjCckxhMAAMAmOg0AABgwnrAQGgAAMHBxekIS4wkAAGATnQYAAAwYT1gIDQAAGHB6wsJ4AgAA2EKnAQAAA5fL2xX4BkIDAAAGjCcshAYAAAwIDRb2NAAAAFvoNAAAYMCeBguhAQAAA8YTFsYTAABcAsrLyzVr1izdeuut6tChg3r16qWtW7dWru/YsUO9e/dW+/btFR8fryVLlni8BkIDAAAGLpefR14XY968eVq5cqUmT56s1atXKzo6WgMGDFBxcbGOHTumvn37KjIyUpmZmRoyZIjS0tKUmZnpoX8CFsYTAAAY+MJjpN9//3316NFDnTt3liSNGzdOK1eu1NatW5WXl6eAgAClpqaqdu3aat68ufbt26cFCxYoISHBYzXQaQAA4BIQGhqqDz/8UAcPHlRFRYVWrFihwMBAtWrVSjk5OerYsaNq1/53LyAuLk579+7VkSNHPFYDnQYAAAycHvpq7K5du15wPSsr6yfXkpOT9cQTT6hr166qVauW/P39NXv2bEVGRqqwsFAtW7Z0e39YWJgkqaCgQJdffvnFFy9CAwAARhe7H8ET9uzZo/r162vOnDkKDw/XypUrNWrUKC1dulQlJSUKDAx0e39QUJAkqbS01GM1EBoAAKghF+okXEhBQYFGjhyp9PR03XDDDZKktm3bas+ePZo9e7aCg4PlcDjcfudcWKhTp87FFf0f2NMAAICBy+nnkdcv9dVXX6msrExt27Z1u96uXTvt27dPERERKi4udls793N4ePgvvu9/IzQAAGDgcnnm9UtFRERIknbt2uV2fffu3YqKilJsbKy2bNmiioqKyrWNGzcqOjpaoaGhv/zG/4XQAACAgbc7DTExMbr++us1duxYbdy4UXv37tXMmTO1YcMGPfbYY0pISNCpU6eUnJysPXv26I033lB6eroSExM9+E9B8nO5fO+J2mVHvvd2CYBPCrmii7dLAHxOuSO/2u+R27y7Rz6n9Xfv/uLfPX78uGbOnKmPPvpIx48fV8uWLTVixAh17NhRkrRt2zZNmTJFubm5aty4sfr166fevXt7pO5zCA3AJYTQAFRVE6Hhm6t6eORzrv3+HY98jrdwegIAAANfOHLpC9jTAAAAbKHTAACAge8N8r2D0AAAgIGnHiN9qWM8AQAAbKHTAACAARshLYQGAAAM2NNgYTwBAABsodMAAIABGyEtPhkaYlo/4O0SAJ90e3iMt0sAfpPY02DxydAAAIAvodNgYU8DAACwhU4DAAAGHJ6wEBoAADBgPGFhPAEAAGyh0wAAgAGnJyyEBgAADJzeLsBHMJ4AAAC20GkAAMDAJcYTEqEBAAAjJ2cuJTGeAAAANtFpAADAwMl4QhKhAQAAI/Y0WAgNAAAYcOTSwp4GAABgC50GAAAMGE9YCA0AABgwnrAwngAAALbQaQAAwIBOg4XQAACAAXsaLIwnAACALXQaAAAwcNJokERoAADAiMdIWxhPAAAAW+g0AABgwDdjWwgNAAAYcOTSQmgAAMDA6ceeBok9DQAAwCY6DQAAGLCnwUJoAADAgD0NFsYTAADAFjoNAAAY8ERIC6EBAAADnghpYTwBAABsodMAAIABpycshAYAAAzY02BhPAEAAGyh0wAAgAHPabAQGgAAMGBPg4XQAACAAXsaLOxpAAAAttBpAADAgD0NFkIDAAAGhAYL4wkAAGALnQYAAAxcbISURGgAAMCI8YSF8QQAALCFTgMAAAZ0GiyEBgAADHgipIXxBAAAsIVOAwAABjxG2kKnAQAAA6eHXhdr9erVuvPOO9W2bVt1795d69atq1w7ePCgEhMTdd1116lz586aOXOmKioqPHDXf6PTAACAgS9shHzrrbeUnJysJ598Ul26dNG7776rESNGKCIiQtdee6369++vqKgoZWRkaP/+/UpOTpa/v7+SkpI8VgOhAQAAH+dyuTRr1iw99NBD6tWrlyRp0KBBysnJ0ebNm5Wfn69Dhw7p9ddfV8OGDdWyZUv98MMPmjZtmgYOHKjAwECP1MF4AgAAA5eHXr9UXl6e8vPzddddd7ldX7RokRITE5WTk6M2bdqoYcOGlWtxcXE6deqUduzYcRF3dkenAQAAA09thOzatesF17Oyss57PS8vT5J05swZ9e/fX7m5uWrWrJkGDRqk+Ph4FRYWKiIiwu13wsLCJEkFBQVq166dB6qn0wAAgM87deqUJGns2LHq0aOHFi9erD/+8Y8aPHiwNmzYoJKSkiojiKCgIElSaWmpx+qg0wAAgIGnNkL+VCfBJCAgQJLUv39/9ezZU5J0zTXXKDc3V6+88oqCg4PlcDjcfudcWKhTp85FVOyOTgMAAAbe3tMQHh4uSWrZsqXb9RYtWujgwYOKiIhQcXGx29q5n8/9ricQGgAA8HFt2rRR3bp19dVXX7ld3717tyIjIxUbG6vc3NzKMYYkbdy4UXXr1lWrVq08VgehAQAAA6dcHnn9UsHBwRowYIDmzJmjd955R/v379e8efP02WefqW/fvrrtttvUuHFjDRs2TDt37tT777+v6dOnq1+/fh47bimxpwEAACNfeLjT4MGDFRISohkzZqioqEjNmzfX7NmzdeONN0qSFi5cqEmTJun+++9Xw4YN9eCDD2rw4MEercHP5XL53Jd3XRPW0dslAD4pKijU2yUAPmfdgXXmN12kyVf28sjnPLVvmUc+x1voNAAAYOBzf7v2EkIDAAAGvjCe8AWEBgAADPhqbAunJwAAgC10GgAAMLiY45K/JoQGAAAMiAwWxhMAAMAWOg0AABhwesJCaAAAwIA9DRbGEwAAwBY6DQAAGNBnsBAaAAAwYE+DhfEEAACwhU4DAAAGbIS0EBoAADAgMlgIDQAAGLCnwcKeBgAAYAudBgAADFwMKCQRGgAAMGI8YWE8AQAAbKHTAACAAUcuLYQGAAAMiAwWxhOQn5+f+g7upfc2rtKX+z7Wmx8uU4+EO9zeE93iSs1Zkqbs7z7Qhl3/1Oz0aWp25RVeqhioeSkLUpT+efpPrt/T7x6tO7BOYc3Caq4ooIYRGqCksYka9uRgrVq2RoN6j9SGjzfr+XmTdWfPbpKkiCvCtPydhbos9HcalfiUJo6aquYto7Xw9dkKCg7ycvVA9bu1563641/++JPrTaOb6pFxj9RcQahxTrk88rrUMZ74jQsOCVKfxAf02t8ztHD2EknSxk+y1Samlfo8+j9a++Z6DR39mE6ePKV+9w1RydlSSdLB/Yc097U0XdvuGm3ZtNWLfwKgejUKb6RBqYN0+NDh8677+/trxPQROnnspIJDgmu4OtQUTk9Y6DT8xjlKy/Rg9wFKn7fc7XpZWZkCgwIlSbf3uFVvLH+7MjBI0vavduhPMd0JDPjVGzZtmL74+Att/WzredcTEhN0WePLtGLOipotDPACQsNvnNPp1O7cPTpS/IMkKbRxIw14/CF1urmjMl5ZpaaRV6hBw/o6dLBAT00drQ27/qmt+z/RS68+r/AmzG7x63bHA3eoRdsWmpsy97zrkS0j1WtEL80YNUOl/xGq8evj8tB/LnWEBlS6s2c3fbr9PY18aqg+fv9zrVn1nhqF/k6SNPKpoQprEqaRiSl6asQUtY5ppVffnKuQOrRj8esU1jRMj41/THOS5+jEsRNV1v1r+WvUjFH6v3/8n77e+LUXKkRNcnrodaljTwMqff3ldvW5O1EtW7dQ0rhE/T1jlmY9+7Ik6cjho0p6ZIxcLisp7887qIx1i9Uj4c9a+dpqL1YNVI/hacOV/WG2Plv32XnXH3j8AdVrWE+Ln11cw5XBG34NXQJP+FmhoU+fPvLz87P13iVLlvyiguA9B/bm68DefOVs/FKnT53W1Jcmyt/f+u/7k6zPKwODJH215RudOH5Srdte7a1ygWpz18N3KfqaaA26fZD8a1kNWT9Z/1vwr+Wvq1pfpQeGPqDxD49XmaNM/rX85e9vva9WrVry9/eX0/lr+Hsl4O5nhYbOnTtr1qxZio6OVkxMTHXVhBp0WejvdHPXm/TJBxt09Mixyuu523ZKkiKahsvpdFZuivxPtWrXUkkJc1z8+nTu3lkNQxtq+RfLq6y9u/ddLZ2+VAFBAXo249kq64s/XaxtG7Zp7P1ja6JU1BAioOVnhYbExETVq1dPL7zwgubPn69mzZpVV12oIcHBQZr60kRNf3qO/v7iq5XXb7olTpKUu22XcjZ8qdvvvFUzpsxVmaNMkhTXJVZ169bRlo1bvVE2UK1eHPei6tSr43at17BeahHTQpP6TdIPRT9oc9Zmt/WOXTuq94jemth3og5+f7Amy0UNcLoYT0i/YE9Dr1699Mknn2jatGl68cUXq6Mm1KCC/CJlLlujwSP7q7y8XDu+3q3r49rr0ccf0qqlb+m73XmaMWWuXn1znuYvn6lX5i5VaONGGjl+qL7K+VofvPext/8IgMflf59f5dqJH0+o3FGub7d9K0k6WnTUbf3Kq6+UJOXtzFPxweLqLxLwgl+0ETI1NVXbt2/3dC3wkkljpurAvnzd36enrmgWoYJDRZo9bYEWz1kqSdqa87UevneQhv1tkGYtfk4lZ0uUte5fmjZxFnNbAL8J9Bksfi6X7/Vcrgnr6O0SAJ8UFRTq7RIAn7PuwLpqv8eDV/b0yOcs3/emRz7HW3hOAwAAsIXnNAAAYMBzGiyEBgAADNi9ZWE8AQAAbKHTAACAgZPxhCRCAwAARuxpsBAaAAAwYE+DhT0NAADAFjoNAAAY+OBzEL2C0AAAgAEbIS2MJwAAgC10GgAAMGAjpIXQAACAAUcuLYwnAACALXQaAAAwYCOkhdAAAIABRy4tjCcAAIAtdBoAADDg9ISF0AAAgAGnJyyEBgAADNgIaWFPAwAAsIVOAwAABpyesBAaAAAwYDxhYTwBAABsodMAAIABpycshAYAAAyc7GmQxHgCAIBLTl5enjp06KA33nij8tqOHTvUu3dvtW/fXvHx8VqyZInH70toAADAwOWhlyeUlZVp1KhROnPmTOW1Y8eOqW/fvoqMjFRmZqaGDBmitLQ0ZWZmeuiuFsYTAAAY+NLpidmzZ6tevXpu115//XUFBAQoNTVVtWvXVvPmzbVv3z4tWLBACQkJHrs3nQYAAAyccnnkdbGys7O1YsUKTZ061e16Tk6OOnbsqNq1/90LiIuL0969e3XkyJGLvu85dBoAAKghXbt2veB6VlbWT66dOHFCY8aMUUpKipo0aeK2VlhYqJYtW7pdCwsLkyQVFBTo8ssv/4UVuyM0AABg4AtPhJw4caI6dOigu+66q8paSUmJAgMD3a4FBQVJkkpLSz1WA6EBAAADT+1puFAn4UJWr16tnJwcvf322+ddDw4OlsPhcLt2LizUqVPnF93zfAgNAAD4uMzMTP3www+65ZZb3K5PmDBBa9euVUREhIqLi93Wzv0cHh7usToIDQAAGHj7iZBpaWkqKSlxu9atWzclJSXp7rvv1ltvvaWMjAxVVFSoVq1akqSNGzcqOjpaoaGhHquD0AAAgIG39zT8VLcgNDRU4eHhSkhI0MKFC5WcnKwBAwZo27ZtSk9P16RJkzxaB0cuAQC4xIWGhmrhwoXKy8tTz5499dJLL2nMmDHq2bOnR+9DpwEAAANferjTObt27XL7OSYmRitWrKjWexIaAAAw8PZ4wlcwngAAALbQaQAAwMAXxxPeQGgAAMDA20cufQWhAQAAAyd7GiSxpwEAANhEpwEAAAPGExZCAwAABownLIwnAACALXQaAAAwYDxhITQAAGDAeMLCeAIAANhCpwEAAAPGExZCAwAABownLIwnAACALXQaAAAwYDxhITQAAGDgcjm9XYJPIDQAAGDAV2Nb2NMAAABsodMAAICBi9MTkggNAAAYMZ6wMJ4AAAC20GkAAMCA8YSF0AAAgAFPhLQwngAAALbQaQAAwIAnQloIDQAAGLCnwcJ4AgAA2EKnAQAAA57TYCE0AABgwHjCQmgAAMCAI5cW9jQAAABb6DQAAGDAeMJCaAAAwICNkBbGEwAAwBY6DQAAGDCesBAaAAAw4PSEhfEEAACwhU4DAAAGfGGVhdAAAIAB4wkL4wkAAGALnQYAAAw4PWEhNAAAYMCeBguhAQAAAzoNFvY0AAAAW+g0AABgQKfBQmgAAMCAyGBhPAEAAGzxc9FzAQAANtBpAAAAthAaAACALYQGAABgC6EBAADYQmgAAAC2EBoAAIAthAYAAGALoQEAANhCaAAAALYQGgAAgC2EBgAAYAuhAQAA2EJoAAAAthAacF5Op1MvvviiunTpovbt2+vRRx/VgQMHvF0W4DPmz5+vPn36eLsMoEYRGnBec+fO1fLlyzV58mRlZGTI6XRqwIABcjgc3i4N8Lply5Zp5syZ3i4DqHGEBlThcDi0ePFiJSUl6ZZbblGrVq00Y8YMFRYWav369d4uD/CaoqIiDRw4UGlpaYqKivJ2OUCNIzSgip07d+r06dPq1KlT5bUGDRqodevWys7O9mJlgHdt375dAQEBWrNmjdq1a+ftcoAaV9vbBcD3FBYWSpKaNGnidj0sLKxyDfgtio+PV3x8vLfLALyGTgOqOHv2rCQpMDDQ7XpQUJBKS0u9URIAwAcQGlBFcHCwJFXZ9FhaWqqQkBBvlAQA8AGEBlRxbixRXFzsdr24uFjh4eHeKAkA4AMIDaiiVatWqlevnjZt2lR57cSJE8rNzVVsbKwXKwMAeBMbIVFFYGCgevfurbS0NDVq1EhNmzbV888/r4iICHXr1s3b5QEAvITQgPNKSkpSeXm5UlJSVFJSotjYWC1atEgBAQHeLg0A4CV+LpfL5e0iAACA72NPAwAAsIXQAAAAbCE0AAAAWwgNAADAFkIDAACwhdAAAABsITQAAABbCA0AAMAWQgMAALCF0AAAAGwhNAAAAFv+H/yWu/QENZ4NAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.heatmap(pl, annot = True, fmt = 'd')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Print the classification report </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.78      0.83      0.81       151\n",
+      "           1       0.64      0.55      0.59        80\n",
+      "\n",
+      "    accuracy                           0.74       231\n",
+      "   macro avg       0.71      0.69      0.70       231\n",
+      "weighted avg       0.73      0.74      0.73       231\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import classification_report\n",
+    "print(classification_report(y_test, y_pred))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### In the case of the K nearest neighbors algorithm, the K parameter is one of the most important parameters affecting the model performance.  The model performance isn't horrible, but what if we didn't consider a wide enough range of values in our neighbors for the KNN? An alternative to fitting a loop of models is to use a grid search to identify the proper number. It is common practice to use a grid search method for all adjustable parameters in any type of machine learning algorithm. First, you define the grid — aka the range of values — to test in the parameter being optimized, and then compare the model outcome performance based on the different values in the grid."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Run the code in the next cell to see how to implement the grid search method for identifying the best parameter value for the n_neighbors parameter. Notice the param_grid is the range value to test and we apply cross validation with five folds to score each possible value of n_neighbors."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=5, estimator=KNeighborsClassifier(),\n",
+       "             param_grid={&#x27;n_neighbors&#x27;: array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,\n",
+       "       35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])})</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5, estimator=KNeighborsClassifier(),\n",
+       "             param_grid={&#x27;n_neighbors&#x27;: array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,\n",
+       "       35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])})</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier()</pre></div></div></div></div></div></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "GridSearchCV(cv=5, estimator=KNeighborsClassifier(),\n",
+       "             param_grid={'n_neighbors': array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,\n",
+       "       35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])})"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.model_selection import GridSearchCV\n",
+    "param_grid = {'n_neighbors':np.arange(1,50)}\n",
+    "knn = KNeighborsClassifier()\n",
+    "knn_cv= GridSearchCV(knn,param_grid,cv=5)\n",
+    "knn_cv.fit(X,y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "#### Print the best score and best parameter for n_neighbors."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best Score:0.7526440879382056\n",
+      "Best Parameters: {'n_neighbors': 31}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Best Score:\" + str(knn_cv.best_score_))\n",
+    "print(\"Best Parameters: \" + str(knn_cv.best_params_))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here you can see that the ideal number of n_neighbors for this model is 14 based on the grid search performed. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "**<font color='teal'> Now, following the KNN example, apply this grid search method to find the optimal number of estimators in a Randon Forest model.\n",
+    "</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=5, estimator=RandomForestClassifier(),\n",
+       "             param_grid={&#x27;n_estimators&#x27;: array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,\n",
+       "       35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])})</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5, estimator=RandomForestClassifier(),\n",
+       "             param_grid={&#x27;n_estimators&#x27;: array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,\n",
+       "       35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])})</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier()</pre></div></div></div></div></div></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "GridSearchCV(cv=5, estimator=RandomForestClassifier(),\n",
+       "             param_grid={'n_estimators': array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
+       "       18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34,\n",
+       "       35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49])})"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "param_grid = {'n_estimators':np.arange(1,50)}\n",
+    "rfc = RandomForestClassifier()\n",
+    "rfc_cv= GridSearchCV(rfc,param_grid,cv=5)\n",
+    "rfc_cv.fit(X,y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best Score:0.7735081911552498\n",
+      "Best Parameters: {'n_estimators': 16}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Best Score:\" + str(rfc_cv.best_score_))\n",
+    "print(\"Best Parameters: \" + str(rfc_cv.best_params_))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "From the output the best parameters for the RandomForestClassifier are 16."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Jessica Williams Springboard Regression Case Study - the Red Wine Dataset - Tier 3.ipynb b/Jessica Williams Springboard Regression Case Study - the Red Wine Dataset - Tier 3.ipynb
new file mode 100644
index 00000000..8c23c610
--- /dev/null
+++ b/Jessica Williams Springboard Regression Case Study - the Red Wine Dataset - Tier 3.ipynb	
@@ -0,0 +1,1949 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "2cI3hdxwGqju"
+   },
+   "source": [
+    "# Springboard Regression Case Study - The Red Wine Dataset - Tier 3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "VaawwyomGqjw"
+   },
+   "source": [
+    "Welcome to the Springboard Regression case study! Please note: this is ***Tier 3*** of the case study.\n",
+    "\n",
+    "This case study was designed for you to **use Python to apply the knowledge you've acquired in reading *The Art of Statistics* (hereinafter *AoS*) by Professor Spiegelhalter**. Specifically, the case study will get you doing regression analysis; a method discussed in Chapter 5 on p.121. It might be useful to have the book open at that page when doing the case study to remind you of what it is we're up to (but bear in mind that other statistical concepts, such as training and testing, will be applied, so you might have to glance at other chapters too).  \n",
+    "\n",
+    "The aim is to ***use exploratory data analysis (EDA) and regression to predict alcohol levels in wine with a model that's as accurate as possible***. \n",
+    "\n",
+    "We'll try a *univariate* analysis (one involving a single explanatory variable) as well as a *multivariate* one (involving multiple explanatory variables), and we'll iterate together towards a decent model by the end of the notebook. The main thing is for you to see how regression analysis looks in Python and jupyter, and to get some practice implementing this analysis.\n",
+    "\n",
+    "Throughout this case study, **questions** will be asked in the markdown cells. Try to **answer these yourself in a simple text file** when they come up. Most of the time, the answers will become clear as you progress through the notebook. Some of the answers may require a little research with Google and other basic resources available to every data scientist. \n",
+    "\n",
+    "For this notebook, we're going to use the red wine dataset, wineQualityReds.csv. Make sure it's downloaded and sitting in your working directory. This is a very common dataset for practicing regression analysis and is actually freely available on Kaggle, [here](https://www.kaggle.com/piyushgoyal443/red-wine-dataset).\n",
+    "\n",
+    "You're pretty familiar with the data science pipeline at this point. This project will have the following structure: \n",
+    "**1. Sourcing and loading** \n",
+    "- Import relevant libraries\n",
+    "- Load the data \n",
+    "- Exploring the data\n",
+    "- Choosing a dependent variable\n",
+    " \n",
+    "**2. Cleaning, transforming, and visualizing**\n",
+    "- Visualizing correlations\n",
+    "  \n",
+    "  \n",
+    "**3. Modeling** \n",
+    "- Train/Test split\n",
+    "- Making a Linear regression model: your first model\n",
+    "- Making a Linear regression model: your second model: Ordinary Least Squares (OLS) \n",
+    "- Making a Linear regression model: your third model: multiple linear regression\n",
+    "- Making a Linear regression model: your fourth model: avoiding redundancy\n",
+    "\n",
+    "**4. Evaluating and concluding** \n",
+    "- Reflection \n",
+    "- Which model was best?\n",
+    "- Other regression algorithms"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "HXNI7VSYGqjx"
+   },
+   "source": [
+    "### 1. Sourcing and loading"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "yh_xcbPcGqjy"
+   },
+   "source": [
+    "#### 1a. Import relevant libraries "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "EbJiKGCdGqjz"
+   },
+   "outputs": [],
+   "source": [
+    "# Import relevant libraries and packages.\n",
+    "import numpy as np \n",
+    "import pandas as pd \n",
+    "import matplotlib.pyplot as plt \n",
+    "import seaborn as sns # For all our visualization needs.\n",
+    "import statsmodels.api as sm # What does this do? Find out and type here.\n",
+    "from statsmodels.graphics.api import abline_plot # What does this do? Find out and type here.\n",
+    "from sklearn.metrics import mean_squared_error, r2_score # What does this do? Find out and type here.\n",
+    "from sklearn.model_selection import train_test_split #  What does this do? Find out and type here.\n",
+    "from sklearn import linear_model, preprocessing # What does this do? Find out and type here.\n",
+    "import warnings # For handling error messages.\n",
+    "# Don't worry about the following two instructions: they just suppress warnings that could occur later. \n",
+    "warnings.simplefilter(action=\"ignore\", category=FutureWarning)\n",
+    "warnings.filterwarnings(action=\"ignore\", module=\"scipy\", message=\"^internal gelsd\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "T_T_6Cv1Gqj2"
+   },
+   "source": [
+    "#### 1b. Load the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "KTnM8zA6Gqj3"
+   },
+   "outputs": [],
+   "source": [
+    "# Load the data. \n",
+    "dataset='wineQualityReds.csv'\n",
+    "red_winedf=pd.read_csv(dataset)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-zYSi9yRGqj6"
+   },
+   "source": [
+    "#### 1c. Exploring the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "fAOOJdgdGqj6",
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Unnamed: 0</th>\n",
+       "      <th>fixed.acidity</th>\n",
+       "      <th>volatile.acidity</th>\n",
+       "      <th>citric.acid</th>\n",
+       "      <th>residual.sugar</th>\n",
+       "      <th>chlorides</th>\n",
+       "      <th>free.sulfur.dioxide</th>\n",
+       "      <th>total.sulfur.dioxide</th>\n",
+       "      <th>density</th>\n",
+       "      <th>pH</th>\n",
+       "      <th>sulphates</th>\n",
+       "      <th>alcohol</th>\n",
+       "      <th>quality</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>7.4</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>0.076</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>0.9978</td>\n",
+       "      <td>3.51</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>9.4</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>7.8</td>\n",
+       "      <td>0.88</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>0.098</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>0.9968</td>\n",
+       "      <td>3.20</td>\n",
+       "      <td>0.68</td>\n",
+       "      <td>9.8</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>7.8</td>\n",
+       "      <td>0.76</td>\n",
+       "      <td>0.04</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>0.092</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>0.9970</td>\n",
+       "      <td>3.26</td>\n",
+       "      <td>0.65</td>\n",
+       "      <td>9.8</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>11.2</td>\n",
+       "      <td>0.28</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>0.075</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>0.9980</td>\n",
+       "      <td>3.16</td>\n",
+       "      <td>0.58</td>\n",
+       "      <td>9.8</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>7.4</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>0.076</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>0.9978</td>\n",
+       "      <td>3.51</td>\n",
+       "      <td>0.56</td>\n",
+       "      <td>9.4</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Unnamed: 0  fixed.acidity  volatile.acidity  citric.acid  residual.sugar  \\\n",
+       "0           1            7.4              0.70         0.00             1.9   \n",
+       "1           2            7.8              0.88         0.00             2.6   \n",
+       "2           3            7.8              0.76         0.04             2.3   \n",
+       "3           4           11.2              0.28         0.56             1.9   \n",
+       "4           5            7.4              0.70         0.00             1.9   \n",
+       "\n",
+       "   chlorides  free.sulfur.dioxide  total.sulfur.dioxide  density    pH  \\\n",
+       "0      0.076                 11.0                  34.0   0.9978  3.51   \n",
+       "1      0.098                 25.0                  67.0   0.9968  3.20   \n",
+       "2      0.092                 15.0                  54.0   0.9970  3.26   \n",
+       "3      0.075                 17.0                  60.0   0.9980  3.16   \n",
+       "4      0.076                 11.0                  34.0   0.9978  3.51   \n",
+       "\n",
+       "   sulphates  alcohol  quality  \n",
+       "0       0.56      9.4        5  \n",
+       "1       0.68      9.8        5  \n",
+       "2       0.65      9.8        5  \n",
+       "3       0.58      9.8        6  \n",
+       "4       0.56      9.4        5  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Check out its appearance. \n",
+    "red_winedf.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "bylOynLnGqj9"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1599 entries, 0 to 1598\n",
+      "Data columns (total 13 columns):\n",
+      " #   Column                Non-Null Count  Dtype  \n",
+      "---  ------                --------------  -----  \n",
+      " 0   Unnamed: 0            1599 non-null   int64  \n",
+      " 1   fixed.acidity         1599 non-null   float64\n",
+      " 2   volatile.acidity      1599 non-null   float64\n",
+      " 3   citric.acid           1599 non-null   float64\n",
+      " 4   residual.sugar        1599 non-null   float64\n",
+      " 5   chlorides             1599 non-null   float64\n",
+      " 6   free.sulfur.dioxide   1599 non-null   float64\n",
+      " 7   total.sulfur.dioxide  1599 non-null   float64\n",
+      " 8   density               1599 non-null   float64\n",
+      " 9   pH                    1599 non-null   float64\n",
+      " 10  sulphates             1599 non-null   float64\n",
+      " 11  alcohol               1599 non-null   float64\n",
+      " 12  quality               1599 non-null   int64  \n",
+      "dtypes: float64(11), int64(2)\n",
+      "memory usage: 162.5 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Another very useful method to call on a recently imported dataset is .info(). Call it here to get a good\n",
+    "# overview of the data\n",
+    "red_winedf.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "6yLvMH3CGqj_"
+   },
+   "source": [
+    "What can you infer about the nature of these variables, as output by the info() method?\n",
+    "\n",
+    "Which variables might be suitable for regression analysis, and why? For those variables that aren't suitable for regression analysis, is there another type of statistical modeling for which they are suitable?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "lsuMtWKTGqkA"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(1599, 13)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We should also look more closely at the dimensions of the dataset. \n",
+    "red_winedf.shape"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Cb4YWtZCGqkC"
+   },
+   "source": [
+    "#### 1d. Choosing a dependent variable"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "8GBWMyLOGqkD"
+   },
+   "source": [
+    "We now need to pick a dependent variable for our regression analysis: a variable whose values we will predict. \n",
+    "\n",
+    "'Quality' seems to be as good a candidate as any. Let's check it out. One of the quickest and most informative ways to understand a variable is to make a histogram of it. This gives us an idea of both the center and spread of its values. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "xRo3texfGqkE"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Making a histogram of the quality variable.\n",
+    "quality_hist=plt.hist(red_winedf['quality'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "lYnayRoDGqkG"
+   },
+   "source": [
+    "We can see so much about the quality variable just from this simple visualization. Answer yourself: what value do most wines have for quality? What is the minimum quality value below, and the maximum quality value? What is the range? Remind yourself of these summary statistical concepts by looking at p.49 of the *AoS*.\n",
+    "\n",
+    "But can you think of a problem with making this variable the dependent variable of regression analysis? Remember the example in *AoS* on p.122 of predicting the heights of children from the heights of parents? Take a moment here to think about potential problems before reading on. \n",
+    "\n",
+    "The issue is this: quality is a *discrete* variable, in that its values are integers (whole numbers) rather than floating point numbers. Thus, quality is not a *continuous* variable. But this means that it's actually not the best target for regression analysis. \n",
+    "\n",
+    "Before we dismiss the quality variable, however, let's verify that it is indeed a discrete variable with some further exploration. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "NAL3KUn-GqkH"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    1599.000000\n",
+       "mean        5.636023\n",
+       "std         0.807569\n",
+       "min         3.000000\n",
+       "25%         5.000000\n",
+       "50%         6.000000\n",
+       "75%         6.000000\n",
+       "max         8.000000\n",
+       "Name: quality, dtype: float64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get a basic statistical summary of the variable \n",
+    "red_winedf['quality'].describe()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#What do you notice from this summary? \n",
+    "A: All of the percentile numbers are whole numbers. This suggests what was mentioned above which is that the quantity is a discrete variable and not continuous."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "NecGX2YgGqkJ"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5    681\n",
+       "6    638\n",
+       "7    199\n",
+       "4     53\n",
+       "8     18\n",
+       "3     10\n",
+       "Name: quality, dtype: int64"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get a list of the values of the quality variable, and the number of occurrences of each. \n",
+    "red_winedf['quality'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "HXm0-0P6GqkL"
+   },
+   "source": [
+    "The outputs of the describe() and value_counts() methods are consistent with our histogram, and since there are just as many values as there are rows in the dataset, we can infer that there are no NAs for the quality variable. \n",
+    "\n",
+    "But scroll up again to when we called info() on our wine dataset. We could have seen there, already, that the quality variable had int64 as its type. As a result, we had sufficient information, already, to know that the quality variable was not appropriate for regression analysis. Did you figure this out yourself? If so, kudos to you!\n",
+    "\n",
+    "The quality variable would, however, conduce to proper classification analysis. This is because, while the values for the quality variable are numeric, those numeric discrete values represent *categories*; and the prediction of category-placement is most often best done by classification algorithms. You saw the decision tree output by running a classification algorithm on the Titanic dataset on p.168 of Chapter 6 of *AoS*. For now, we'll continue with our regression analysis, and continue our search for a suitable dependent variable. \n",
+    "\n",
+    "Now, since the rest of the variables of our wine dataset are continuous, we could — in theory — pick any of them. But that does not mean that are all equally sutiable choices. What counts as a suitable dependent variable for regression analysis is determined not just by *intrinsic* features of the dataset (such as data types, number of NAs etc) but by *extrinsic* features, such as, simply, which variables are the most interesting or useful to predict, given our aims and values in the context we're in. Almost always, we can only determine which variables are sensible choices for dependent variables with some **domain knowledge**. \n",
+    "\n",
+    "Not all of you might be wine buffs, but one very important and interesting quality in wine is [acidity](https://waterhouse.ucdavis.edu/whats-in-wine/fixed-acidity). As the Waterhouse Lab at the University of California explains, 'acids impart the sourness or tartness that is a fundamental feature in wine taste.  Wines lacking in acid are \"flat.\" Chemically the acids influence titrable acidity which affects taste and pH which affects  color, stability to oxidation, and consequantly the overall lifespan of a wine.'\n",
+    "\n",
+    "If we cannot predict quality, then it seems like **fixed acidity** might be a great option for a dependent variable. Let's go for that."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "4949xkedGqkM"
+   },
+   "source": [
+    "So if we're going for fixed acidity as our dependent variable, what we now want to get is an idea of *which variables are related interestingly to that dependent variable*. \n",
+    "\n",
+    "We can call the .corr() method on our wine data to look at all the correlations between our variables. As the [documentation](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.corr.html) shows, the default correlation coefficient is the Pearson correlation coefficient (p.58 and p.396 of the *AoS*); but other coefficients can be plugged in as parameters. Remember, the Pearson correlation coefficient shows us how close to a straight line the data-points fall, and is a number between -1 and 1. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "7Spwrq9FGqkN"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Unnamed: 0</th>\n",
+       "      <th>fixed.acidity</th>\n",
+       "      <th>volatile.acidity</th>\n",
+       "      <th>citric.acid</th>\n",
+       "      <th>residual.sugar</th>\n",
+       "      <th>chlorides</th>\n",
+       "      <th>free.sulfur.dioxide</th>\n",
+       "      <th>total.sulfur.dioxide</th>\n",
+       "      <th>density</th>\n",
+       "      <th>pH</th>\n",
+       "      <th>sulphates</th>\n",
+       "      <th>alcohol</th>\n",
+       "      <th>quality</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Unnamed: 0</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.268484</td>\n",
+       "      <td>-0.008815</td>\n",
+       "      <td>-0.153551</td>\n",
+       "      <td>-0.031261</td>\n",
+       "      <td>-0.119869</td>\n",
+       "      <td>0.090480</td>\n",
+       "      <td>-0.117850</td>\n",
+       "      <td>-0.368372</td>\n",
+       "      <td>0.136005</td>\n",
+       "      <td>-0.125307</td>\n",
+       "      <td>0.245123</td>\n",
+       "      <td>0.066453</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>fixed.acidity</th>\n",
+       "      <td>-0.268484</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.256131</td>\n",
+       "      <td>0.671703</td>\n",
+       "      <td>0.114777</td>\n",
+       "      <td>0.093705</td>\n",
+       "      <td>-0.153794</td>\n",
+       "      <td>-0.113181</td>\n",
+       "      <td>0.668047</td>\n",
+       "      <td>-0.682978</td>\n",
+       "      <td>0.183006</td>\n",
+       "      <td>-0.061668</td>\n",
+       "      <td>0.124052</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>volatile.acidity</th>\n",
+       "      <td>-0.008815</td>\n",
+       "      <td>-0.256131</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.552496</td>\n",
+       "      <td>0.001918</td>\n",
+       "      <td>0.061298</td>\n",
+       "      <td>-0.010504</td>\n",
+       "      <td>0.076470</td>\n",
+       "      <td>0.022026</td>\n",
+       "      <td>0.234937</td>\n",
+       "      <td>-0.260987</td>\n",
+       "      <td>-0.202288</td>\n",
+       "      <td>-0.390558</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>citric.acid</th>\n",
+       "      <td>-0.153551</td>\n",
+       "      <td>0.671703</td>\n",
+       "      <td>-0.552496</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.143577</td>\n",
+       "      <td>0.203823</td>\n",
+       "      <td>-0.060978</td>\n",
+       "      <td>0.035533</td>\n",
+       "      <td>0.364947</td>\n",
+       "      <td>-0.541904</td>\n",
+       "      <td>0.312770</td>\n",
+       "      <td>0.109903</td>\n",
+       "      <td>0.226373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>residual.sugar</th>\n",
+       "      <td>-0.031261</td>\n",
+       "      <td>0.114777</td>\n",
+       "      <td>0.001918</td>\n",
+       "      <td>0.143577</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.055610</td>\n",
+       "      <td>0.187049</td>\n",
+       "      <td>0.203028</td>\n",
+       "      <td>0.355283</td>\n",
+       "      <td>-0.085652</td>\n",
+       "      <td>0.005527</td>\n",
+       "      <td>0.042075</td>\n",
+       "      <td>0.013732</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>chlorides</th>\n",
+       "      <td>-0.119869</td>\n",
+       "      <td>0.093705</td>\n",
+       "      <td>0.061298</td>\n",
+       "      <td>0.203823</td>\n",
+       "      <td>0.055610</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.005562</td>\n",
+       "      <td>0.047400</td>\n",
+       "      <td>0.200632</td>\n",
+       "      <td>-0.265026</td>\n",
+       "      <td>0.371260</td>\n",
+       "      <td>-0.221141</td>\n",
+       "      <td>-0.128907</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>free.sulfur.dioxide</th>\n",
+       "      <td>0.090480</td>\n",
+       "      <td>-0.153794</td>\n",
+       "      <td>-0.010504</td>\n",
+       "      <td>-0.060978</td>\n",
+       "      <td>0.187049</td>\n",
+       "      <td>0.005562</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.667666</td>\n",
+       "      <td>-0.021946</td>\n",
+       "      <td>0.070377</td>\n",
+       "      <td>0.051658</td>\n",
+       "      <td>-0.069408</td>\n",
+       "      <td>-0.050656</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>total.sulfur.dioxide</th>\n",
+       "      <td>-0.117850</td>\n",
+       "      <td>-0.113181</td>\n",
+       "      <td>0.076470</td>\n",
+       "      <td>0.035533</td>\n",
+       "      <td>0.203028</td>\n",
+       "      <td>0.047400</td>\n",
+       "      <td>0.667666</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.071269</td>\n",
+       "      <td>-0.066495</td>\n",
+       "      <td>0.042947</td>\n",
+       "      <td>-0.205654</td>\n",
+       "      <td>-0.185100</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>density</th>\n",
+       "      <td>-0.368372</td>\n",
+       "      <td>0.668047</td>\n",
+       "      <td>0.022026</td>\n",
+       "      <td>0.364947</td>\n",
+       "      <td>0.355283</td>\n",
+       "      <td>0.200632</td>\n",
+       "      <td>-0.021946</td>\n",
+       "      <td>0.071269</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.341699</td>\n",
+       "      <td>0.148506</td>\n",
+       "      <td>-0.496180</td>\n",
+       "      <td>-0.174919</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>pH</th>\n",
+       "      <td>0.136005</td>\n",
+       "      <td>-0.682978</td>\n",
+       "      <td>0.234937</td>\n",
+       "      <td>-0.541904</td>\n",
+       "      <td>-0.085652</td>\n",
+       "      <td>-0.265026</td>\n",
+       "      <td>0.070377</td>\n",
+       "      <td>-0.066495</td>\n",
+       "      <td>-0.341699</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.196648</td>\n",
+       "      <td>0.205633</td>\n",
+       "      <td>-0.057731</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sulphates</th>\n",
+       "      <td>-0.125307</td>\n",
+       "      <td>0.183006</td>\n",
+       "      <td>-0.260987</td>\n",
+       "      <td>0.312770</td>\n",
+       "      <td>0.005527</td>\n",
+       "      <td>0.371260</td>\n",
+       "      <td>0.051658</td>\n",
+       "      <td>0.042947</td>\n",
+       "      <td>0.148506</td>\n",
+       "      <td>-0.196648</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.093595</td>\n",
+       "      <td>0.251397</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>alcohol</th>\n",
+       "      <td>0.245123</td>\n",
+       "      <td>-0.061668</td>\n",
+       "      <td>-0.202288</td>\n",
+       "      <td>0.109903</td>\n",
+       "      <td>0.042075</td>\n",
+       "      <td>-0.221141</td>\n",
+       "      <td>-0.069408</td>\n",
+       "      <td>-0.205654</td>\n",
+       "      <td>-0.496180</td>\n",
+       "      <td>0.205633</td>\n",
+       "      <td>0.093595</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.476166</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>quality</th>\n",
+       "      <td>0.066453</td>\n",
+       "      <td>0.124052</td>\n",
+       "      <td>-0.390558</td>\n",
+       "      <td>0.226373</td>\n",
+       "      <td>0.013732</td>\n",
+       "      <td>-0.128907</td>\n",
+       "      <td>-0.050656</td>\n",
+       "      <td>-0.185100</td>\n",
+       "      <td>-0.174919</td>\n",
+       "      <td>-0.057731</td>\n",
+       "      <td>0.251397</td>\n",
+       "      <td>0.476166</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      Unnamed: 0  fixed.acidity  volatile.acidity  \\\n",
+       "Unnamed: 0              1.000000      -0.268484         -0.008815   \n",
+       "fixed.acidity          -0.268484       1.000000         -0.256131   \n",
+       "volatile.acidity       -0.008815      -0.256131          1.000000   \n",
+       "citric.acid            -0.153551       0.671703         -0.552496   \n",
+       "residual.sugar         -0.031261       0.114777          0.001918   \n",
+       "chlorides              -0.119869       0.093705          0.061298   \n",
+       "free.sulfur.dioxide     0.090480      -0.153794         -0.010504   \n",
+       "total.sulfur.dioxide   -0.117850      -0.113181          0.076470   \n",
+       "density                -0.368372       0.668047          0.022026   \n",
+       "pH                      0.136005      -0.682978          0.234937   \n",
+       "sulphates              -0.125307       0.183006         -0.260987   \n",
+       "alcohol                 0.245123      -0.061668         -0.202288   \n",
+       "quality                 0.066453       0.124052         -0.390558   \n",
+       "\n",
+       "                      citric.acid  residual.sugar  chlorides  \\\n",
+       "Unnamed: 0              -0.153551       -0.031261  -0.119869   \n",
+       "fixed.acidity            0.671703        0.114777   0.093705   \n",
+       "volatile.acidity        -0.552496        0.001918   0.061298   \n",
+       "citric.acid              1.000000        0.143577   0.203823   \n",
+       "residual.sugar           0.143577        1.000000   0.055610   \n",
+       "chlorides                0.203823        0.055610   1.000000   \n",
+       "free.sulfur.dioxide     -0.060978        0.187049   0.005562   \n",
+       "total.sulfur.dioxide     0.035533        0.203028   0.047400   \n",
+       "density                  0.364947        0.355283   0.200632   \n",
+       "pH                      -0.541904       -0.085652  -0.265026   \n",
+       "sulphates                0.312770        0.005527   0.371260   \n",
+       "alcohol                  0.109903        0.042075  -0.221141   \n",
+       "quality                  0.226373        0.013732  -0.128907   \n",
+       "\n",
+       "                      free.sulfur.dioxide  total.sulfur.dioxide   density  \\\n",
+       "Unnamed: 0                       0.090480             -0.117850 -0.368372   \n",
+       "fixed.acidity                   -0.153794             -0.113181  0.668047   \n",
+       "volatile.acidity                -0.010504              0.076470  0.022026   \n",
+       "citric.acid                     -0.060978              0.035533  0.364947   \n",
+       "residual.sugar                   0.187049              0.203028  0.355283   \n",
+       "chlorides                        0.005562              0.047400  0.200632   \n",
+       "free.sulfur.dioxide              1.000000              0.667666 -0.021946   \n",
+       "total.sulfur.dioxide             0.667666              1.000000  0.071269   \n",
+       "density                         -0.021946              0.071269  1.000000   \n",
+       "pH                               0.070377             -0.066495 -0.341699   \n",
+       "sulphates                        0.051658              0.042947  0.148506   \n",
+       "alcohol                         -0.069408             -0.205654 -0.496180   \n",
+       "quality                         -0.050656             -0.185100 -0.174919   \n",
+       "\n",
+       "                            pH  sulphates   alcohol   quality  \n",
+       "Unnamed: 0            0.136005  -0.125307  0.245123  0.066453  \n",
+       "fixed.acidity        -0.682978   0.183006 -0.061668  0.124052  \n",
+       "volatile.acidity      0.234937  -0.260987 -0.202288 -0.390558  \n",
+       "citric.acid          -0.541904   0.312770  0.109903  0.226373  \n",
+       "residual.sugar       -0.085652   0.005527  0.042075  0.013732  \n",
+       "chlorides            -0.265026   0.371260 -0.221141 -0.128907  \n",
+       "free.sulfur.dioxide   0.070377   0.051658 -0.069408 -0.050656  \n",
+       "total.sulfur.dioxide -0.066495   0.042947 -0.205654 -0.185100  \n",
+       "density              -0.341699   0.148506 -0.496180 -0.174919  \n",
+       "pH                    1.000000  -0.196648  0.205633 -0.057731  \n",
+       "sulphates            -0.196648   1.000000  0.093595  0.251397  \n",
+       "alcohol               0.205633   0.093595  1.000000  0.476166  \n",
+       "quality              -0.057731   0.251397  0.476166  1.000000  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Call the .corr() method on the wine dataset \n",
+    "red_winedf.corr()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "N8gBajevGqkP"
+   },
+   "source": [
+    "Ok - you might be thinking, but wouldn't it be nice if we visualized these relationships? It's hard to get a picture of the correlations between the variables without anything visual. \n",
+    "\n",
+    "Very true, and this brings us to the next section."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "ncBGyH7zGqkQ"
+   },
+   "source": [
+    "### 2. Cleaning, Transforming, and Visualizing "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "XjpzISHEGqkQ"
+   },
+   "source": [
+    "#### 2a. Visualizing correlations \n",
+    "The heading of this stage of the data science pipeline ('Cleaning, Transforming, and Visualizing') doesn't imply that we have to do all of those operations in *that order*. Sometimes (and this is a case in point) our data is already relatively clean, and the priority is to do some visualization. Normally, however, our data is less sterile, and we have to do some cleaning and transforming first prior to visualizing. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-rG6J07GGqkR"
+   },
+   "source": [
+    "Now that we've chosen **fixed acidity** as our dependent variable for regression analysis, we can begin by plotting the pairwise relationships in the dataset, to check out how our variables relate to one another."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "vZN9QcvcGqkS"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.PairGrid at 0x18d3370dca0>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 3250x3250 with 182 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Make a pairplot of the wine data\n",
+    "sns.pairplot(red_winedf)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "WiMyY0pTGqkU"
+   },
+   "source": [
+    "If you've never executed your own Seaborn pairplot before, just take a moment to look at the output. They certainly output a lot of information at once. What can you infer from it? What can you *not* justifiably infer from it?\n",
+    "\n",
+    "... All done? \n",
+    "\n",
+    "Here's a couple things you might have noticed: \n",
+    "- a given cell value represents the correlation that exists between two variables \n",
+    "- on the diagonal, you can see a bunch of histograms. This is because pairplotting the variables with themselves would be pointless, so the pairplot() method instead makes histograms to show the distributions of those variables' values. This allows us to quickly see the shape of each variable's values.  \n",
+    "- the plots for the quality variable form horizontal bands, due to the fact that it's a discrete variable. We were certainly right in not pursuing a regression analysis of this variable.\n",
+    "- Notice that some of the nice plots invite a line of best fit, such as alcohol vs density. Others, such as citric acid vs alcohol, are more inscrutable."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "K0d5C_26GqkV"
+   },
+   "source": [
+    "So we now have called the .corr() method, and the .pairplot() Seaborn method, on our wine data. Both have flaws. Happily, we can get the best of both worlds with a heatmap. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "iq83PhG_GqkW"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot: >"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 4000x2000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Make a heatmap of the data \n",
+    "plt.figure(figsize=(40,20))\n",
+    "red_winedf_matrix = red_winedf.corr()\n",
+    "sns.heatmap(red_winedf_matrix, cmap=None, annot=None)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "LJIMwKqWGqkY"
+   },
+   "source": [
+    "Take a moment to think about the following questions:\n",
+    "- How does color relate to extent of correlation?\n",
+    "- How might we use the plot to show us interesting relationships worth investigating? \n",
+    "- More precisely, what does the heatmap show us about the fixed acidity variable's relationship to the density variable? \n",
+    "\n",
+    "There is a relatively strong correlation between the density and fixed acidity variables respectively. In the next code block, call the scatterplot() method on our sns object. Make the x-axis parameter 'density', the y-axis parameter 'fixed.acidity', and the third parameter specify our wine dataset.  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "No6IGyXQGqkY"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot: xlabel='density', ylabel='fixed.acidity'>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot density against fixed.acidity\n",
+    "sns.scatterplot(x=\"density\", y=\"fixed.acidity\", data=red_winedf_matrix)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "ASgFbb9FGqka"
+   },
+   "source": [
+    "We can see a positive correlation, and quite a steep one. There are some outliers, but as a whole, there is a steep looking line that looks like it ought to be drawn. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "Ao1n1kUUGqkb"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot: xlabel='density', ylabel='fixed.acidity'>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Call the regplot method on your sns object, with parameters: x = 'density', y = 'fixed.acidity'\n",
+    "sns.regplot(x=\"density\", y=\"fixed.acidity\", data=red_winedf_matrix)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "bFfFLdBaGqkd"
+   },
+   "source": [
+    "The line of best fit matches the overall shape of the data, but it's clear that there are some points that deviate from the line, rather than all clustering close. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "4o5YeU4FGqkf"
+   },
+   "source": [
+    "Let's see if we can predict fixed acidity based on density using linear regression. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "rJYTl9gDGqkg"
+   },
+   "source": [
+    "### 3. Modeling "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "0ppc75mQGqkg"
+   },
+   "source": [
+    "#### 3a. Train/Test Split\n",
+    "While this dataset is super clean, and hence doesn't require much for analysis, we still need to split our dataset into a test set and a training set.\n",
+    "\n",
+    "You'll recall from p.158 of *AoS* that such a split is important good practice when evaluating statistical models. On p.158, Professor Spiegelhalter was evaluating a classification tree, but the same applies when we're doing regression. Normally, we train with 75% of the data and test on the remaining 25%. \n",
+    "\n",
+    "To be sure, for our first model, we're only going to focus on two variables: fixed acidity as our dependent variable, and density as our sole independent predictor variable. \n",
+    "\n",
+    "We'll be using [sklearn](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html) here. Don't worry if not all of the syntax makes sense; just follow the rationale for what we're doing. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "6gDs3MpuGqki"
+   },
+   "outputs": [],
+   "source": [
+    "# Subsetting our data into our dependent and independent variables.\n",
+    "X=red_winedf[['density']]\n",
+    "y=red_winedf[['fixed.acidity']]\n",
+    "\n",
+    "# Split the data. This line uses the sklearn function train_test_split().\n",
+    "# The test_size parameter means we can train with 75% of the data, and test on 25%. \n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 123)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "9Zam5wpCGqkm"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(1199, 1) (1199, 1)\n",
+      "(400, 1) (400, 1)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# We now want to check the shape of the X train, y_train, X_test and y_test to make sure the proportions are right. \n",
+    "print(X_train.shape, y_train.shape)\n",
+    "print(X_test.shape, y_test.shape)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "GHPrhBm-Gqko"
+   },
+   "source": [
+    "#### 3b. Making a Linear Regression model: our first model\n",
+    "Sklearn has a [LinearRegression()](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html) function built into the linear_model module. We'll be using that to make our regression model. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "03dzTnSgGqkp"
+   },
+   "outputs": [],
+   "source": [
+    "# Create the model: make a variable called rModel, and use it linear_model.LinearRegression appropriately\n",
+    "rModel = linear_model.LinearRegression()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "w9f9H3G6Gqkr"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "LinearRegression()"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We now want to train the model on our test data.\n",
+    "rModel.fit(X_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "BJaGHtpdGqkt"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.45487824100681606\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Evaluate the model  \n",
+    "print(rModel.score(X_train, y_train))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "kcYpzHb-Gqkv"
+   },
+   "source": [
+    "The above score is called R-Squared coefficient, or the \"coefficient of determination\". It's basically a measure of how successfully our model predicts the variations in the data away from the mean: 1 would mean a perfect model that explains 100% of the variation. At the moment, our model explains only about 45% of the variation from the mean. There's more work to do!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "aagTStMyGqkw"
+   },
+   "outputs": [],
+   "source": [
+    "# Use the model to make predictions about our test data\n",
+    "y_pred = rModel.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "F1hWPPLLGqkx"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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ppZdQVFSEsrIybNu2DbW1tcjJ0Z/mY2BCRjkdFMh/oKP/o8h/kH9+TRGWra9TfT4ef7D1xmh0DCLNzvJ9Odg4b5xqALh4VS2eW1+n+v1KG+aZ+Z5kphZQu+U6KP3f8noQESyxjwnJEhaYRHyzxxMRmEiShIKCAtx///34z//8TwBAIBBAr1698OKLL2LatGm652RgQkbYfUOOJnKDjv5DHT0Ov84N3Cq9MZodg9q1lc+pdW1bzoUwsOx9zR4YXg/w5aLr25cmzHxPKnLbdYgOnq7o2w2f7jvBDfYohl33b1t/q+vq6tDQ0IDx48e3P+bz+XDVVVehsrJS8Xuam5sRDAYj/hGJ0Ou1AVjvrSBSNql1+niUUTrVF0NORM2PSkTNF9hP5+XKvbqNuUJS23FWvicVue06yB1spw69EKP6dUdWB2/E1wxKyG62Jr82NDQAAHr16hXxeK9evdqfi7Z48WIsXLjQzmFQmjByQzbbGtyu8kfR85jJlRE996bdXxv+dGt2C/p9x8W6sYYfZ+Z7UhGvA6W7hFflzJ8/H/fdd1/718FgEL17907giChZxKNRlV3ljyLnMZsrIzrGp9ftwV+rDhrOBzCz50vfPLFurOHHmfmeVMTrQOnO1qUcv98PADh8+HDE44cPH25/Llp2djZyc3Mj/lFqaw1JqNxzDG9XH0TlnmOml1ri0ahKpBup16PeEEy0J4WVfWmMdEyN174ms0YVQm9ixutpO87K96QiXgdKd7YGJkVFRfD7/VizZk37Y8FgEJ988glGjRpl50tRkqqoqcfoJWsxvXwz7nmtGtPLN2P0krWmbpTxaFSl1Y3Uc/7f7DFFqs8D3/akUGM1V8ZIx9R47GvSGpLw6b4TuPaSCzSPmz2mKCJ5M6uDt/1ain5PKuJ1oHRn+Df79OnTqK6uRnV1NYC2hNfq6mrs378fHo8H9957L37729/inXfewbZt23DLLbegoKAgoqSY0pPdu9XqBQ2AflAgQq0bqf98Euj8ScWaz+stm9iRvGqkY6qTCbnhgefaL79WPMbrUS93nT+pGL+4pihmxkDre1IRrwOlM8Plwh999BHGjh0b8/itt96KF198sb3B2rJly3Dy5EmMHj0a//M//4MBAwYInZ/lwqnJqZJWwPk+JjKnOr++XX0Q97xWrXvcU9OGYurQCzWPaTkXwv/538/xVvUhW85nhFZ5MQBcO6AHxvS/QKh7aaI6nroNrwMlE1f0MXECA5PUZFcnUTVuaAdvll3XRilAs3I+I5wMPIkoObiyjwmRmmTY6j1R7MiVUVsmM3s+o5zqpUJE6Sfh5cKUHpysoHHDPjVWGNnUTYlW8mw0O3NvZC3nQvi/W/cLHZuOgScRGcMZE4oLpypo7E6oTRS9BFutAEukO62R8xmxeFUtBpa9L5TTAtjXF4aIUhdnTCgurM4KKNErs/WgrSx2QrE/KfIalLqsDu3dFa9+sg8PvV2jmvwoOgvxg6EFWPLDy3STJ0XzdfQ2mgsn55jYuXxERKmJgQnFjTwrEL3s4je57BKPlvTxFt5ldfGqWsz40+aIfVMeWbU9Ztt70VmIN6sPYXPdcc1rLbos1nIuhPIN4kEJYO/yERGlLgYmFFdm915RksoJtWqzESEJ7Y/LwYm8TNYQaNLNM5GXuJSWc9TKfZW+R2SjOZnZwJOI0hMDE3Kc0tKAHTMYRhJqk6mcWGQ2onxDHe7/3kBkeD3YUncck0r8eH7TXt1zRy9xAW0zTw2Bb7Dove3Cy2KiG8h9r7gXls68wvFrnUw/X7fjtaREY2BCjnKyYkZvpkDOazhxpiWmx4abq3ZEt73/1RtfYNOeYxHvy+uB7vfKS1xPr92F17YeEEqclb/nxU11uK20SHgDuavicFNL9qosN+G1JDdggzVyjNrSgHybsqM6RH4NQDmh9ufXFGHZ+jrFMUgAbi8txIRiv6s+FT70dg3+UrnP1PdGJxY7Id+Xg19fPwh3/9/PNIMgrwf4ctH1jnYq1eo264G137FvWlrx6Kpa7D3WiMLunfCrScXomJVhabxuFo//r5Ta2GCNXM3qxnSitMpsn/nJ5Xjn83rNMbywaa+ljQSdYGU7+3h8ymgINOH/fe0zXDeop+ZxTm80p9e/RYL537HZf9mKQQ9V4OXN+7Fh11G8vHk/Bj1Ugdl/2WppzG4Vr/+vRCIYmJAjjFTMtIYkVO45hrerD6JyzzHDf/wmluRj47xxWDF7JJ6aNhQrZo/Exnnj0K1ztnB/Dzf1PZk1qhAed0zeKJJ/OjUHg5g9JnEbzYn0bzHTbXb2X7biw9ojis99WHskJYMTdu4lN2GOCTlCtBLmw9oG3Pd6teU17fAyW6NjANzV9yTD60HHzAw0trRaPpdSzxg7PvPKN6pxA3vhge8PTMhGcw2Bb4SPE03o/KalVTUokX1YewTftLSm1LJOKle4UfJhYEKOEK2YeUGhkkSrpNWJMcjc0vdkS91xW4KSueP7xyS3+n05mDa8D55YvdPy+YG2G1VWBy9+NuYiW85nxPEzLULHbdp9FL/7YIdQ8Pvoqlqhcz66qhaLbhwiPliXc3LLCCKjGJiQI0R6a6hVkNg1e2Gkv0c4s58K7SqztPqpVK5Gumtcf9w1rn/EmK7o2w1b9x5H146ZOPnNWdVzdMnJwKkm/eAokTeqvH/LFjruf6sOxjymFvzuPSZWBi16XLIQrXBj516KB+aYkCPkFvRaAYFWKokda9ryGACo7tGjxOxGgqOXrMX08s2457VqSwm1Rl4/+n1Fd1mVl7imDr0QgW9a8N3H12HGnz5RDUo85/8tuelSR/Y2slPPLmKBiRIJysmxhd3FEo9Fj0sWWv9X2LmX4o2BCbma1dkDtaodJW7ZSFB0w8P/+Yn4pn9qY4wmf/+kSwvcf6OyIVkmOvj9lWDCruhxycTKRpJEduJSDjlCLj+0Sp490Fsm0Xo+vA3+6toGxQ6pbtpIUHTDw4kl+Rhf3Es38VSvrBYAunbKxDPTh2Fkv+4R183OvY3sZlciZkPw2/N0zMrAhOKemgmwE4p7plTiazg7t4wgMouBCTlCpJRTS/iatl43SpFulfKSxqh+3TG8KM/1GwmKBAVK7/tPG+ti3ofIz+Jk41l4zy/9RI/DrTcq0eRX3fOcbo74uvyW4aolwxOKe6L8luG2vK5bKVW4EcUTAxNyhJFPs1qzAh/WNmhuLKfW2VWrssctGwnqzQIpjfOKvt3w6b4TWLTyn4ozP0rv22opqNEbVcu5kOXyYZEZMrsCk7pjZ1C551jEa5TfMtxy51fuOUNkDgMTcoRoAufc8QPw2tb9irMCE4r9GL1kreYySfmG2KAk/Hm1ZRS7PhX26CyWgBl9XEVNPRa8XYPDp769ufbqkoWFU0siAqnwcVbU1OO7j6/TnaGJft/xLAVdvKoW5RvqIhKbH1m1HbPHiDdcMzNDZsXyzfuxfPP+mFm2jlkZpkuCuecMkXkMTMgRouWHd427GHeNu1jxk2Vl1AZ10SQAWjs9xaUviegH4LDjKmrqccf5/X3CHT7VgjuWV+FZjeRVkXzP6Pcdr1LQxatq8dz62F2RQxLaH9cLTtTep94MmRqPR/t3ROk1rCZ66r0HJpISaWNVDjnCSPlheEnrqLDkS7uSG53sVnk0Kj9B77jWkIT7Xv9c89j7Xv88ooRVJHlVify+nS4FbQ1J2LDzayxTCErClW+oQ8u5kOZ59PZrUZshiyaXPXfMFF96sWNPGO45Q2QdAxNyjNXyQ7uadznZBMzoMsnHu47qdnVtbGnFx7uOtn9tNpE4fGxOlYLK/VtmvbBFN2AIScDLlXtVnxdJJBa9n/t9Obh3/ADDHXSt9s/hnjNE1nEphxyllcD5dvVBzaRAkSUIj0r3WFnXjpkISRJazoXw6b4TticiGl0m+etn/xI6718/+xfGXHIBAOMzPmpLM1Z+FkqMLC/J9h1X75hq18zWXWP74e7rBuC/1+wyfQ6zY7F7z5noBFr558WEWkplDEzIcXoJnGpJgSL9PGaPKWpfQlC6QZ785ixm/OmTmPb3diUiymNUyhmRxxS+TCL6CT78ODOdYNWWZsz+LMK1hiRs3nMMD/51m+Hlpb556h1T7ZrZyszw6iYJ6zE7FjsTjZUSaJ36PSZyEy7lUNyY6ZCqtwQxf1KxUGfX6FkVs11ZrRpeKJZgGn6cXifYcKJLM2a71cpLNzOeV29rr8YDYNaoQtXnRTreak0OeAB065SJJ1bvMh2UWG21L9q1V+/8aj8ft/weEzmJgQnFhZWkwIkl+dg4bxxWzB6Jp6YNxYrZI/H3B8bC1zELb1cfhK9jFv7+wFi88rOr0LVjptB47Ep03LT7KB786zbVY+TSXfk1br26EB6dCMPjaTtOJpK8entpIVbMHomN88bpBiVGfxatIQmVe45h0cp/4g6BtvZqOmVnaC47iLzP2WOK2hNblZ63klJqRyKwHYnGRpKdmVBLqYhLORQXVjukiixBTBve29CneCvlxKK9NKJfI6uDFz8fU6RYViv7+ZiimIZkdraHN/KzCHzTYlvPkDPNrbrXWuR9Xt6nm+Lz04b3wROrdwqNpWuntgD2ZOO3vy92tdq3+rMymuwcl7J4ojhiYEJxYVdSoFaPiCdWm0t2NJroaCbpM/w1Lu/TDYB6YNL2fCy7OtaKvt//evef2F5/ytC57Xhtvfep9vy7XxwSGsNdY/th7oRLAMCxzqxWflZOJ94SuR0DE4oLO5ICRZYgzDCS6Gi2p0j4ZoRamxvqbfpnR8da0fdrd1Bi5LX13qfS86LnLr34gvZr6+QMg9mfldOJt0RuxxwTigs7kgKtbgxo5jXtGEPXTpntr+F0nws5H+Tt6oOo3HNMMe/ASDKtXawmlYqwK/E00Yz+fJLlfRGJYmBChonc/KJZTQpsSzT9WniMen/UzSY61p/8RvhYpbHY3eciXEVNPUofW4Pp5Ztxz2vVmF6+GaWPrYmp2ND6WTjBjqRSEU53uI0XIz+fZHpfRKIYmJAhcrlo+M1v9JK1QuWKZruPyq/59Lo9QmOcO35AzGtE/8022/H0swMnDB0PACcaz7bPgDi1oZ68/05DMLJFfkOwGXcolJOq/SzsYNe1NsOpDrfxpvY+EnltieLFI0miW1zFRzAYhM/nQyAQQG5ubqKHQ2HUkj7lv5WifyBFtrSXn997tBFPrt4pnNPRtVMmPv3NBABwpGPmb97ahuWb9xv+vqemDcXUoReiNSRh9JK1up1iN84bJzS+1pCEzV8dw+y//EOzeVunrAyU33IlRl7UPeK8LedCeLlyL17/9F/Y0WAup8Sfm43pI/qgsEdn26613u+I3vGp0iE1Vd8XpSa77t9MfiUheomnekmb4bSSAq1uaS+/stJr2JHoWNS9s6nvk2dARLrZik7LG7lWjS2tmPGnTyI6hZq91vK4by8txIRiv+LN0cq1VhqXVodTreOnDr3Q9DjcwKnfYyI341IOCYnH5mRq3S6NCF82ccKsUYWa3UejKSUm2rHcYPZayZ1CF6+qNX2t/b4cPDtzGB6aMjhiN2iZmRwkmdGOtGY72BKRe3HGhIQ4mbQJmC/DFR2DXVPiWR28mK3TIE2mNQNipc+FlWslz26Vb6gz/P3XDbwA/8+YfprjNDrbEc7orJyds3hE5B4MTEiIU0mbQFuew6J3/2lbKXCPf8uO+NruzdDmT2qrmCjfUKe5s7Fep0+laXqR3AqrZdMSACOZZV5PWyt4+X2r0Wp+N2d5le5skNHuwFa7CROROzEwISFybwWtG4GZXgqLV9Xq3uANCzuX2s0y+vXqA024Y3kVflZaiPEqeRPh5k8qxr3jL8Gjq2qx91gjCrt3wryJg7DtYMB0YqLobEO8OnyO6d8D1w64ALNGFca0yI9mx+yF0Vk5p2fxiCgxGJiQkAyvBzdclq+5hHHDZfmGbsSLV9UKLYkYdfRMW8msmSWP5zftxfOb9urOoEQHERt2Aau3H4lIuJRzLUQCFSOzDfHq8PnLay8WnmmwY/bC6Kyck7N4gPHKoHifjyhVMTAhIa0hCe98rp1I+M7n9fg/EwcJ/bFtORdC+Qb7gxLg2xuRlSUPreUHkSACgHCuhdHZBnn2Sq3kWI8HbTsYq81SySXLRma/7Ji90Htf0eMyenw0rUBBZPbKSKBhJfeGKN0wMCEhIjd5I+v5L1futXf55jwPgCv6tm2CZ2UKXw4Ifv1mDb5paYXf17H9BqcXRMx/YxtONMbucqwW7BidbdAqOZZdN/ACrPkytlOufNucPaYIy87PVlkpWZbZMXthtJTaSum1VqAAwNbA02ruDVG6YbkwCbF7PX/f8UYrw1ElAdhqsMuq1rmOnWnB3Nc/b+9w+/TaXbpBhFJQIj8noe2GFl5Ca+baqpUc558v5X3+thF4duYw5KuUJM+fVGxrh1S79qkxWkptpvRar8T4wTe2aW4U+eAb24RLlEU2noz+fSBKd5wxIU3ydPWuw6eFjhcJBlpDEpxsOFz51VGU9u9heckjWn2gCU+s3mXLebbUHceIojxL11av5Njq8zKRJQs7G8cZLaUWOV5+Dw2Bb7Dove2agcJJlcBSPkbteaVlN1YOERnHwIRUGekMKpqXYLWzqxj9qf5E+1ttA+57vdrytdXqomvH80ZyI+TZi+jj9cqmzYzLyPHx+Z1rEx1osHKIyDgGJqRIbV1ciegnYiPntCL8BqV2s0y0P2/aK3RcInePNZMbYaVxnBPi9TsXTQ40nK4cIkpFDEwohtEyW5FPxHZ2dtXSrVMmRl7UvX1zun3HG9E3rxPW3n8tqg+cxJ827FFMCjUjHrMwfl8Opg3vg+ZzIVTuOWZ5EzfRShIrfUlaQxJqDwXar/0Vfbs5HpgovS9APVHZaXKgYbVyiCgdMTChGKJltneN7YfSiy8Qujla7VYqavFNQ/C7iu0xTdseWbUds8cU4fnbRtjS1O27A3pg5+HTjr2nu8b2Q2aGFyu27McTq3e2P26lY62RZRmzuRFK11a+9nqdY81Se1/ThvcxtUFh106ZONF4VjFXRjr/fKDxrFCgYWfuDVG6YFUOxRBd7+7fq4viJm5WzmmWXI3y2f4TeG59bNARkoDn1tdh8apazJ9UjC8XXY+yyYNwy6i+KJs8CNv/ayJWzB6J0Rf3EHq9rA5e/P2BsSibPMiBdwN809KKJ1fvQkOwOeLx6Pclulmd0c3uzORGyA3ztK69WWobA2q9r/CAToT8W7z4piF4VqXS59mZw/DYTUMijo/+/uhAw45NG4nSCWdMKIYT6+JOrqGXTR6E20qL0BqS8MtXqjSPXba+DqMvvgBXX9wDPxtzUcRzo/p1R+2hADbuPqr7mh/WHsF3H1+HssnFtlb+yN6sPih0PpF272aWZYz+Dog0zCvfUIf7vzdQt719NLUZkbLJg3QrbIyIXpLUypUxmuTrttwbIjdjYEIxnFgXt7t0N3wct5UWIcPrwYub9JdnJACzXtiiuoQxa1Qhfrtqu9Amdw2BJtz5ahV+fk1bszK9nJPwm6nWtc3rnIVjZ1r0BxD2nuoDTXhxU137tQhnZlnG6O+ASMO8kNR2XHRAqEUrAfeXr34mfB41eZ0zUfbvg+HPjQ0UtCp9zAQaRiuNiNIVl3IohrwuDohPV1s5pxlK4zDStE1tCSPD60HHzAyhc8g3y3c+r8czP7lcsdnZ3PED8NS0oVgxeyQ2zhuHSZcW6F7bqUMLhN9HuEXvbcfoJWttWZYx+jsgeu2N/IxEmpOJUnoPHgCP/mAIfnD5hcJLkuHkQGPqUHPf7wS1JS+iZMIZE1JkZ0+K8AqZ/xh2ITbuPoaG4Lfn1Jtp8HiAjpkZaGxp1RxH37xOwmNSW8LYUnc84nVEzlMfaEK3ztnYOG+c0CdovWvr65iFFwTLiaNZ2fRPqYGb6O+A6LXvm9dJuDLIroTpueP747WtByz/Hrsd9+OhVMHAhFSpTVcD0Nw1N/zGs7q2Ae9+0RBTjTDlUj/GF/ux92gjXv1kHw6f+jbJs1eXLIzpfwE6ZXdA37xOmDWqEAAiyn9/clVfVB84iberD6Jnlxxc0bcbBvTsYuj9hS9hXNG3G16u3IuPdporJT5yqslQmazWUkBrSDK97GVm0z+tpTnRJYtZowrxyKrtmss5Xg/QMzcHo5esFbp5Wk2Ylt/XXeP6465x/VM6v4P78VAq8UhO9gY3IRgMwufzIRAIIDc3N9HDoSh6n8qMdNmcUNwTH9YeUX3+9tJCTCj248SZFix6L/Kc0WWz0V8bcd3AC7Bux9eWyof//dJ8rNpWHzMms2Wy8o0GMN8rZcXske05DWrnk2/Ndty45KocNROKe2J17ZGY96M2hso9xzC9fLPQa6uV4qbDDbk1JMUEe+HkAG3jvHEpFYyR+9h1/2ZgQsLUPpXJf+rkJFBX/ULFQXYHL5rPhVSf/8U15oMTKx1rn5o2FFOHXqh5Prun+mf/ZatisDmsjw9ffd2Ik98o7zOjdPOUb7h6Mz1lk4tjAtd0WsIQDeDCA1UiJ9h1/+ZSDgkRSUQs35B+QQkAzaAE+LZMVt7UTXQ5QV5GeWHjV3hk1ZeGx2V00z+rKmrqsVplBqxqf0Dze5Uqg0Sbk00sycf3S9K3FJf78VCqYWBCQkQSEVkAoCwkAb964wts2nMsMgEzNwejL+4ekUsT3eMjw+vB7aMvwjMf7dHc9TaclU3/zLJry4Hom6doAm46l+JyPx5KNQxM0oxoRUQ0ftqy5n+rDsY81hBsinhcrXV7hteDx24agjuWazePA4yXc5v9fYhmVwVNj3/LjnmMzcm0cT8eSjUMTNKIlRwDftpynty6HUBMcDKxJB/PzhyGh9/5Z0Sb+uglDiNlsHbmnNgWuKpMuaTzjIge7sdDqYbJr2lCL3FVr3pBLxERaKtCkSTnd9xNdV4P8OWi6xVbt0fPcAzt3RWvfrIvpoxab2bB6u9DNCMVNFqiE3ZJHPuYUKIx+ZUUGd3+XWSvFeDbT2VaywljL7kAa7401wfErfQqbpyg1bo9fOagoqYe437/UcSNKLqXiNKNyczeOXrs2nKAM3PmccmLUgUDkxSivv17b1Nb2BuVakEJAPzy2osN71JrB73W7WozHmq7D4fPgJjZO0eP1nKCCOZB2INLXpQKuFdOitDe/n2X0Dm08gTkT9lO6pQltkeNlg42fzrs3/PfkO/L0dzfx+vR3v/HzIjUWry3hiRs2nUUD/51m/Duw0DbDIi8b4pT5aVyBU30nkEiJDAPgojaMDBJAXZtdqY1jW5X1YUSf242np05DH+4+TLL5zpnY82yB8Ci92pRNnlQ+9fRzwPAtZdc0L4EosToiLwetLfhD1dRU4/RS9ZixvOfqDYqU3t9eQYEcLa8dGJJPjbOG9d+zYiIjGJgkgKsBg0etC35aE2jO1su7M5PyeEb9CnNBHjOD3vt+SUsj01vY/aYopjEV7UZMSPkn6GcD6I2XJHfBy0ZXg9uKy3SnWmKfs3wWR0iSl8MTFKA1aBBZBrdyaTEhmBbHsSDb2xz7DWsOHKqqX0mYMXskfhZaSGA2HwO+evOOktSXTtl4t+H9Iq5aXs9yu3r7WpeJv8M5XwQQH0WyMqyipyAfX2JX3MmKVz0rA4RpS8mv6aAeFQyyJ+ynVrOkQDhzqbxFn5DH1GUh/ter9Y8/kxLq+bzJxvPYsbIIvzhx8MidkyeNaoQGV5PzM7NdsyIRSeWinZUNUopAdtzvoxcBBv5EZHtgUlraysefvhhLF++HA0NDSgoKMBtt92G3/zmN/DYNddNEayWaoqWC5dcmGvqBmmmSsMtcjK9aAh8g8o9x2wJEmRHTjUhq4M3oiRYrarq+hK/6dfRmgGxu7xUtFJIC8uFicj2wGTJkiVYunQpXnrpJQwePBj/+Mc/8NOf/hQ+nw9333233S9HsF6qKVIe2nIuhDXblTdo0+PxAGMH9MDaHUdNfX8iNZ0NYe7rnwOwHiSEi74Bq93UGwJNeGHTXuHzej2RgYDeDIhd5aUiy01aDfhYLkxEMtsDk48//hhTp07F5MmTAQCFhYVYsWIFtmzZYvdLURi1qXkjtKbRX67ca3qTvpCEpAxKohkNEpQo3YBFqqr0As6uHTPxzIxhGF6Yh0/3nYh7gy0jmzyybToRabE9+fXqq6/GmjVrsHNnW1Oqzz//HBs3bsT111+veHxzczOCwWDEPzLHaqmm1jS6XsOvdGCmaZjS19E3YJGbutpre87/e+w/hqD04h7I6uDFqH7dMXXohRjVr3vcbvSiuSG3lxbGVDf5fTmGW+ATUeqyfcbkwQcfRDAYxMCBA5GRkYHW1lY88sgjmDFjhuLxixcvxsKFC+0eRtqSSzX/tLFOOOdEZBpdreEXKbu9tBCrtjWgIRiZWDpteB80nwu156xkeD2WEj6tJqvaRTQ3ZEKxH7+eXMy26USkyvbA5PXXX8crr7yCV199FYMHD0Z1dTXuvfdeFBQU4NZbb405fv78+bjvvvvavw4Gg+jdu7fdw0orRnJORKfRZ40qjNmHhdT5OmYh+sq3deH9tr29vI+NmYTPrp0y8cz0YRgZx1kRLXoJ2OHBL9umE5EW25dyHnjgATz44IOYNm0ahgwZglmzZmHu3LlYvHix4vHZ2dnIzc2N+EfWqbUHj76HiU6jZ3XwYvaYIruHmZI6Z2XgydU70RBsjnhcKbF1zvIqnDjTbKgZGdBWcuz1elwRlADO90YhovRh+4xJY2MjvN7IeCcjIwOhUHx3aCXlctAr+nYznRwpN/4q31DHmRMNjS2twvvYtLW9346yycW481VjVVVu6/nhVG8UIkovtgcmU6ZMwSOPPII+ffpg8ODB+Oyzz/CHP/wBt99+u90vRQKUps3Dv24NSRENvfQCl/mTinH/9wbipY/34okPd6LxrHYzsXRkJGb7tu19luGqKjf2/LC7NwoRpR/bA5M//vGPKCsrwy9/+UscOXIEBQUF+MUvfoGHHnrI7pciiypq6vHwO7URCZrRfTDyFT7tZng98HqQ0KDE6wHGXnIB1pzfpybZHTnVhKlDL8SEYj827zmGO1+t0tyor2vHTIQkCa0hKe43fbnlvFrgER0MRwe/DFSISItHkkSbRcdHMBiEz+dDIBBgvomDKmrqccfyKt3j5NuHnIei1J002c0a2Qe/mlSM6gMnceRUE/YePYMnVu+K6xhWzB4ZcTOXG64B2jMwSoGjk9S606qNoS34/WdEvo0/NxsP3zCYSztEKcau+zc38UtDrSFJeMM86fy/hStrseoL6zvc2s3rsb438ZWFeeiYldHe/+Oe8QPw7MxhyI9KHM735eDe6y62+GqR1HbyVUtejiYn0FbU1Au9njx78Xb1QVTuOWZoN1+1HY7VxiAHv9FJwA3BZtxhYMxmWHmfRJRY3MQvxehNswPA5q+OGd4wrz7QhN+8XeO6PW/suN8o5Wqo5UoAwIuV+zSvX+esDDSe38jPSqm2PAatpR05gVZvryPA+GxHOL3utNFjEAl+H3xjm+6YzbDyPsOJ/F8iIvsxMEkhon+QK/ccM3X+42daLI/RTfQay6n123jspiGay2C/v/kyAIj5WRjdx0Yeg9fr0cw3EdnrSGsvnjnLq3RLxvW600aPYfMe/eD3ZONZbN5zDKX9e9gWBFh9n+HnsSO4ISLjGJikCGN/kN0275EYEsz11phYko9nZw6LSRyOvnHZVaotWhasdpzR2Q47xlD5ldjeSJVfHcWp5rO2zXBYfZ+AfcENEZnDwCQFGP2DPOqiHnh63Z44jzL5aH2KFymL1SvVFiVaFqx2nNHZDnvGIBbs7fn6DJ5Zt8eWIMCO92lXcENE5jEwSQFG/yCP7NcdXTtlGs4zyeuchRNnWlJmvkXrJiMylR+v1upG2r0rsTrjYmYMo/p1x9Prduu+5uavjtkWBNjxPu0IbojIGlblpADRP8ibdh9t73vx2E1DDL1Gvi8Hv51aAkC95XiyCb/JhDNafaLGjsoQedbm+hJ/+806nEi7d6szLoDxlvMjL2oLfrX8W3YHnNAIjtV+PmrseJ92BDdEZA0DkxQg+gf56XW7MXrJWlTU1LfnSfhzs4W+d8GUYky6VLmE1e/LwdzxAwyP2y3CbzJ6U/lA26d4vSCjoqYeo5esxfTyzbjntWpML9/cfu1FhZ/jhU17AQAeE3sdybMdagGkWslyNLUSZqUxiAS/N1/5Hc3nZaJBgB3v047ghois4VJOCpD/IIv0F4leu5fzJD6sbWi/+WnRKqP988d1hpeH3CD8JiM6lf/ipjrcVlqkOEthR/Kk2jmi4yGR/ohau00b3WDPSMt5vSRhX8csod850SBA731KAK4vaRu72pitLpsRkXXs/JoiFq+qxXPr64SP79oxE8/MGIaRF7Wtk49eslb1hiz/Md44b5ziH/OWcyG89PFePP7Bl2hpdcevkzxKX6dMBBrPat5kwt/X29UHcc9r1UKvoVQ50hqSLF1LkXNEnw+AcLCTiBJYtSRi+X3qBQFa10qJ0vsU2Woh/PuVuu4audZE6ciu+zcDkxRg5EYWLd+Xg2nD++CJ1Tt1j41umw60BURu3W14QnFP/Mew7xi6yVTuOYbp5ZuFzq90DtHvV7qWZsYgj0P0Bh6PpmFGXsOpIEAew+raBjyvMCujd372MSEyzq77N5dyUoDe8oOWhkCTUFACxK71G52lkUVPszvlw9ojuKhHZ8Vde9Wam+lN5YdTqhyxI3kyfNlDhJFKEacriYze0OW8FdGfj6gMrwcjivJw3+vVis/rVf1wl2SixGFgkgKsVAgYCRDC1/pbzoVQvsF4UDJ3fH+8tvVA3PbbKd9Qhy8XDRS+yWjlKSiJzjmxI3ny+Olm1ee0iPweODljYja3xqkgwGrpb7zKwYkoEgOTFOB0hYBSwt/LlXsNLd/I57hrXH/cNa5/+01o79EzePWTfTh8yli7++icATUhqW2sPxtzkfBNRu1TvJZF723HnzbWoWxyseXkybzOWUKvGU3v98DJ5QmrjcmcCAJY+kuUnFgunAL0yiSNEOlR0RqS8IlgbwmZBGDS+YoIAO07+V7i7wKPR+zXMDenA2aN7IOyyYPwz4UT8b3iXkLf90ndccM9RCaW5GPjvHEomzxI+HsaAk2489Uq3HBZ203eTM8RAPD7Ohoaq0gZrF29WdQYmZ2IF5b+EiUnBiYpQKv5lRFTLvXH9MnweICfX1PU/ola7q3xt9rDwueV78HPb9ob0c9DvlmK5lQEm87h5c37sei97Rj7/61Dbo7YhN/fag8b7iECtF3X20qLhIM+OfR55/N6PPOTy4X6fSiRA00RIsGOXb1ZtLhxdsKu/i1EFF8MTFKEWvOrfF8O7rmuP7p2VO/C6QHQrVMmVn7RELM8EpKAZevrIgIJo/kh0edsCDThjuVVePCNbaaTYBuCzfjfqoMxgZTq8SZnBowGffLMQLfO2dg4bxxWzB6Jp6YNxYrZI7Fx3jihJRP5NUVeTyTYicdshhtnJ4x2qyUid2COSQrRSiIclN9FsyxTL0BYuLIWkiQZCiQ6Z2XgTEtrzOPyOUSaseVketF0NqT6fGaGFy3n1J8Pf02zG7CZyTk5cqrJUt6EarVKbjamj+iDwh6dhZNE4zGb4dbGZE5V/RCRcxiYpBi1m6HWH2i9PibyJ2pRXg8weYgfK79oMDR2JVpBCdBWHTR5iB/v18TO9kSzsgGbHPS9uKkOi97brnu8HTMDdlWrxGM2w87usnZj6S9RcmFgkkbU/kC/+8Uh217jxqEFWHzTpXhGYGdZuxT16IwvF12P//O/n+Otav33cuRUk1DZrNIxt5UW4Y/rdmvO9nTOykAoJLVvmGiFHdUq8ZrNcPPsBEt/iZIHA5M0o/QH2s51/6IenTHu9x/FrU9JGw+yOnjx4+F9hAKTvUfPxHTKjS6bVSutLZtcrHv+My2tmPH8JwnpFKoWcC2YUow7zi/lRZNg32wGZyeIyCoGJiT8iVqSJBwONqse07VTJp5YvcvZwSqQAy2R96E2xvAmYABUG4X98lXlm7sSI5v22UGrT0k8cXaCiKxgVU6akz9hX1/ib08QDRe+K+v0EX0Uj8H5Y5oFklDlc8pBghZ/brbuMd06ZbZvRChShaGWhiI//vA7/8TD72iX1oqyoxS3NSShcs8xvF19EJV7jqmeR6tPiVwBpUZOCrZSLkxEZBfOmKQxpU/YHg8Qvq2j/LW8Pb0cKITnWMhdWBsVKnCU+MM+xSvNTABtN8uHbxgMAKpLEACw+KYhEcsEVpN8G4Lm2sFrndNswq1op1aRPiVaOTFWxkhEZDcGJmlKbV8T+UPzdQMvwJovv46pdAmcv8HNHT8AgW9a8MImY63p7xrbD3MnXNIeTCgFEdE332dnDsPD79RGNGLT2xjO6SRfo4yW4mrtO3PH8ircXlqICcV+XNG3G16u3GtLTo/ZcuF47FhMROmDgUka0vqELVu342vFx+WlnBVb9sFMn9nSiy+ImeHQS5YUOUbp5uhkki9gbJdkI68tMgPywqa9eGHTXuE9g0SYuT5O7r9DROmJgUka0usECmjf7MwseWiVpEYnS8p5FdFBiNoyg+jNUSQ5tlduNgAPDge1E4HLJg/Cove2615HM6W4Ij8fmR1BidlyYbO7CRMRaWFgkobivZuqkQZbRj+BG7k5ijQBk/Na9BqFTSzJx/dL8rGl7jg+rG3AC5v22tZYzO6fjweAr1Nm+zKcHWO0upswEZEaVuWkOKWqjnjvpur35eDe8QPQfC5kurJEaZ8bM5vTqe0pFL7njMgxwLczPQ9NGYxnBY4XZefPRw4JHrtpiNB7EuXG3YSJKDVwxiSFKc0++HNzMG14b3TtmImT36hXanjPV+OoLWfk5nRAoOmc7hgmDu6F6gMnI6phzFSWKH0CN3JzDF8GsiuvJeJ92thYTG/JyYjorqt2jdHu/XeYQEtEMgYmKUp1iSPYhCfXqDdBk28Fs8cUYdn6OtXlidtHFwk1U6v45+GYx5SWWcwEGVZujk40AdM7p+jNV2vJyYiyyYNwW2lRxGvY9b7t3H+HCbREFI6BSQoSqbpRE/4J+/I+3VT3PZlQ7MdrWw9oBhNqFSNKMyBmggwnN6ez+2Zp9HxmdjSWycms0UGJnezaf4cJtEQUjYFJCjJS1SHr2jETz8wYhpEXdW+/mektT8if6tUCIL3KnvAZEDNBhlOb09l9szR7vvDrv7q2Ac+fb3KnJV47+dqxmzATaIlICZNfbSTaPtxpZqo6Tn5zFl6PJ+YGIE/9Tx16IUb1awta5PfZfC6Ee8f3hz83O+J78n05uL200NBY5SBD7fbjOX/e8CBDpAW93dUmgLH27VbPJ1//svMJtvlRyavRb81sMqsZoknCaphAS0RKOGNiEzetk5ut6hAJaNQSaueOH4DCHp3aZ1W21B1vb2MvMlazn8C1WtCbufZmE2rjcT6lGawr+nbDp/tOJCxp1ErSr90JtESUGhiY2MBt6+RmqzqOnmpGa0hSvamovc/DwSY8uXonls4cZmin3+hlFrNBhp0VMXbfLO0+Til5NdH725hNqHUyR4iIkhcDE4vsXCe3q2TSbFXHove2408b6xSDAKPv08oMiJkgw43VJk4cl0qcyhEiouTGHBOL7Fonr6ipx+glazG9fDPuea0a08s3Y/SStTFNxUSprf/rUWtmZuZ9ms1BUMpriRczuS5655N3ZFbTrVNmWt58ncgRIqLkxxkTi+yYqndqKSh69mHv0TNYsWW/5j43arM8Zt+nncss8WBHtYlRiUmRdge7c4SIKPkxMLHI6lS90yWT0Uscd43rjxc31WHRe9tVv0cpIdPK+3SimZmTnUJFb5YiY9hSdxwnG9U77ALAycazwsm0qSjZglcichYDE4usrpPbXQWiJ8PrQY8u2foHInL2w035APGogNK7WYqOgZUnYpwIXokoOTHHxCKr6+SJuHGZmf1wSz6A0Y3+rFDLdTEyBia/EhEZw8DEBlYaTfXoLDZ7IXqcCLMJnlYballld/OzeIzB7mRaIqJUx6Ucm4iskyvlJKjesaLZNBEhj2FSiV+xxbne7Eci8wHivexlxxgSkUxLRJTMGJjYSGudXC0n4foSv9C5j55Wr6QRpTSG6I32RKohEpUP4IZ8DTNjYOUJEZE4BiZxoFUOLNK2HbCeg6A2Bun8A7eXFmJCsV9o9sPJihgtbsjXMDsGszNNibrWRESJwsDEYSLlwB6P+k68dlS7iIzh/ZoG/Hqy/pJCIvcEckNlkJUxGJ1pctP+S0RE8cLkV4eJ5CTIQYlT1S52dqeNV0WMEjdUBsVrDIm+1kREicLAxGGiOQk/Ky10rNrFjtwMN1TEAG1LIj+/pgieqPu+xwP8/JqiuMwkOF2d5JZrTUSUCFzKcZhoTsL4Yj/mXT8IL1fuxb7jjeib1wmzRhUiq4P12FF0DEdPNaPlXAif7jsRk9PghooYoG0mYdn6upibdkgClq2vw+V9usUtOHGqOskt15qIKBEYmDhMNCfhxJlmfPfxdRE3JLWdfsOJJEfqjUG26L3teGTV9oh8FzmnoflcSOj9OlkRozWTILPSvt8t3FB9RESUKAxMHCbSx+KGy/Jx56ufxdxw63U28RNNjtQaQ7To1QE5p+He8QME3q2zFTFWZhLsrm5xMjHVDdVHRESJwhyTONDKSXjmJ8Pwzuf1qsGCBOV8AqPJkWpj0CO/6mtb98Ofm53QDqZmZxIqauoxeslaTC/fjHteq8b08s0YvWSt6QRSpxNT2S2WiNIZA5M4mViSj43zxmHF7JF4atpQrJg9EhvnjUO3zlmaswBAbMWMkeTI1pCEyj3H8Hb1Qfg6ZuHvD4xF2eRBhsYuz0RMH9EHQOIqYszMJNgdRMQjMdUN1UdERInCpZw4UupjcehEo9D3th3X9r2iSxpPr92N17buj1lumCTYbTZaYY/OWDpzGBa8XYPDp1raH+/ZJQsLp5a4ro+JSP8Wozkp8UpMZbdYIkpXDEwSrPpfJ4WP+48rewMQX9J4YvXOmMcaAk2Ke+SI6NklBx/tOIyvT7dEPP716RZ8tv+E6s3SrvwOo/vOOBFExDMxVany54q+3fDpvhN4u/ogO8ESUUpiYJJwxnfxs5L0KN/MvZ62dvQiCw7yTMTaLxtQvmFvzPMhCXhufR0AYP6k4ojn7E4SNTKT4EQQEe/E1PBZtoqa+pjKLXaCJaJUw8AkwQq7dzJ8nGj5r5bwbrNa55DDoV9NGoR7XvtM85zlG+pw//cGtvde0dojSKvaSI9oDxEngogRRXno2ikTJxvPqh7TtVOm7YmpTl1LIiK3YfJrgs0aVQi9mXivp+04mUhypIjbFbrNRo9F7mZ6JNikup+PLCQBL1fuBWA+QbdyzzGhxFF5JmHq0Asxql93xeWMRFW32L2wwk6wRJRO0mbGxK27tGZ18GL2mKL2pRAls8cUxXSA1VrSuPnK7+CpNbt1X/u6gb3w68nFijkM0dfpobdrhN7PvuNtybxWE3TtWJ4wmpMiYkvdcc3ZEgA40XjW1q6s7ARLROkkLQITt+/SKudllG+oi5iV8HragpLovA2Z2pLG5q+OAdAPTOBRrhRSurn1zRNbcpKkthkQqwm6di1P2F3dkoiurOwES0TpJOUDk2RZm58/qRj3f2+g4b1ylAKLo6ebhV5T9DigbSkpul29kpc378fq7UcwbXgf4XNHUyrltTLjZee+NonoyspOsESUTlI6MHGij4WTsjp48bMxF1k+jxM3MpElJ1lDoAlPrt6Jrp0yEWg8aypBN3x5IvBNi+UZL6UAzgyjvVTskIjXJCJKlJROfjWyNp9KrujbTSih9oq+3Qydd/6kYvzimiLdc8s3Tzmvw0qC7oe1DY62fzcqEV1Z2QmWiNJJSgcm6bo2/+m+E0IVNJ/uO2H43PMnFePLRddj1kjtpRoJbUmgc8f3V9wjaO74/kKv91b1IddVo2jtfeTU0mAiXpOIKBFSeiknXdfmjQRkZnI3sjp4cWVhHl7evF/3NQp7dMbGeeNiXgMAXtt6QHNGK69zJo6faVF93s5qFKPXwc68FVGJeE0ionhL6cAkXdfmRQOtvUfPYPSStaZyN4wEfWr5HTdclq+Zs3J5765Y8+XXuq9hdcbLbNWWXXkrRiTiNYmI4imll3LSdW1epLFYt06ZeGL1LtO5G1abl7WGJLzzufZrVB8IaD4vszLjZffuw0REZE1KByZAeq7NiwRkalkZorkbVoM+vcRkADh2pgV5nTMd69zKjqpERO7jSGBy8OBBzJw5E927d0fHjh0xZMgQ/OMf/3DipYRMLMnHxnnjsGL2SDw1bShWzB6JjfPGpWRQItMKyO4dP0Cze6lotZKVoE90+eUHQy8E4MyMV7pWbRERuZntOSYnTpxAaWkpxo4di/fffx8XXHABdu3ahW7djJWm2i0d1+bVkiXf/eKQ0PeLBA9mEzJFl1/GF/sxvCjPts6t4dK1aouIyM1sD0yWLFmC3r17489//nP7Y0VFRXa/DAlSCsjsrlYyE/QZSUzO8HocqUZJ16otIiI3s30p55133sGVV16JH/3oR+jZsycuv/xylJeXqx7f3NyMYDAY8Y+clahdd8MZzVER2U3YKDdcByIiimR7YPLVV19h6dKl6N+/Pz744APMmTMHd999N1566SXF4xcvXgyfz9f+r3fv3nYPiaK4pVop0YnJbrkORET0LY8kSbaWHGRlZeHKK6/Exx9/3P7Y3Xffja1bt6KysjLm+ObmZjQ3f7uZXDAYRO/evREIBJCbm2vn0CiKW3ZdtrJBnx3cch2IiJJZMBiEz+ezfP+2PcckPz8fxcXFEY8NGjQIf/3rXxWPz87ORnZ2tt3DIAFu6SSa6MRkt1wHIiJyIDApLS3Fjh07Ih7buXMn+vbta/dLkQ0SHRS4Ba8DEZE72J5jMnfuXGzevBmPPvoodu/ejVdffRXLli3DnXfeafdLERERUYqxPTAZPnw43nzzTaxYsQIlJSVYtGgRnnzyScyYMcPulyIiIqIUY3vyq1V2Jc8QERFR/Lg2+ZXMS3R1ChERUaIxMHGJdC5ZZUBGREQyBiYuUFFTjznLq2JaszcEmjBneVXK7oIMpHdARkREsRzZXZjEtYYkLFxZq7hfjPzYwpW1aA25KhXIFnJAFr3DrxyQVdTUJ2hkRESUKAxMLGgNSajccwxvVx9E5Z5jpoKHLXXHY27M4SQA9YEmbKk7bmGk7qMXkElI3YCMiIjUcSnHJLuWII6cUg9KzByXLPQCMuDbgCwejc+Y50JE5A4MTEywMyekZ5cc/YMMHJcsGoJigZbocVYwz4WIyD24lGOQ3TkhI4rykO/LidndVuZB201yRFGeidG61/HTzfoHGTjOLOa5EBG5CwMTg+zOCcnwerBgStumh9HBifz1ginFKbeskNc5y9bjzEjnxGMiIrdiYGKQEzkhE0vysXTmMPh9kcs1fl9OypYK+30dbT3OjHRNPCYicjPmmBjkVE7IxJJ8TCj2p00CpryEpRUYOL2Ela6Jx0REbsYZE4OczAnJ8Howql93TB16IUb1656yQQnw7RKW1nV0egkrXROPiYjcjIGJQemaE+IEeQkrP2oJKz9OS1jpmnhMRORm3F3YJJaY2ieRPUTkqhwAEUmw8qunao4PEZHd7Lp/MzCxgE25UgODTCIi6xiYENmIQSYRkTV23b9ZleNivFnGj5x4TEREicXAxKW4vEBEROmIVTkOMrv7MNukExFRuuKMiUPMznjotUn3oK1N+oRiP5d1iIgo5XDGxAFWZjzYJp2IiNIZAxObWd0Yjm3SiYgonTEwsZnVGQ+2SScionTGwMRmVmc82CadiIjSGQMTG7WGJBw91Sx0rNqMB/fiISKidMbAxCYVNfUYvWQtFr23XfM4kRkPeXM7f9Tmdv44bW5HRESUKCwXtoFchaPXpcTIjMfEknxMKPbHdH4FgMo9x9gNloiIUhIDE4u0qnCi+Q12bo1uk85usERElOq4lGORXhWOrGzyIGycN850AMFusERElA4YmFgkWoXTo0u26SUXq71RiIiIkgUDE4vi0XeE3WCJiChdMDCxKB59R9gNloiI0gUDE4vi0XeE3WCJiChdMDCxgdN9R9gNloiI0gXLhW2i1nfEjh4j8qzMnOVV8AARSbDsBktERKnEI0mSq0o5gsEgfD4fAoEAcnNzEz0cV2EfEyIiciu77t+cMUkiTs7KEBERuQEDkyQT3Q2WiIgolTD5lYiIiFyDgQkRERG5BgMTIiIicg0GJkREROQaDEyIiIjINRiYEBERkWswMCEiIiLXYGBCRERErsHAhIiIiFyDgQkRERG5BgMTIiIicg0GJkREROQaDEyIiIjINRiYEBERkWswMCEiIiLXYGBCRERErsHAhIiIiFyDgQkRERG5BgMTIiIicg0GJkREROQaHRI9gGTRGpKwpe44jpxqQs8uORhRlIcMryfRwyIiIkopDEwEVNTUY+HKWtQHmtofy/flYMGUYkwsyU/gyIiIiFILl3J0VNTUY87yqoigBAAaAk2Ys7wKFTX1CRoZERFR6mFgoqE1JGHhylpICs/Jjy1cWYvWkNIRREREZBQDEw1b6o7HzJSEkwDUB5qwpe54/AZFRESUwhiYaDhySj0oMXMcERERaWNgoqFnlxxbjyMiIiJtDEw0jCjKQ74vB2pFwR60VeeMKMqL57CIiIhSFgMTDRleDxZMKQaAmOBE/nrBlGL2MyEiIrIJAxMdE0vysXTmMPh9kcs1fl8Ols4cxj4mRERENnK8wdpjjz2G+fPn45577sGTTz7p9Ms5YmJJPiYU+9n5lYiIyGGOBiZbt27Fc889h0svvdTJl4mLDK8Ho/p1T/QwiIiIUppjSzmnT5/GjBkzUF5ejm7dujn1MkRERJRCHAtM7rzzTkyePBnjx4/XPK65uRnBYDDiHxEREaUnR5ZyXnvtNVRVVWHr1q26xy5evBgLFy50YhhERESUZGyfMTlw4ADuuecevPLKK8jJ0W88Nn/+fAQCgfZ/Bw4csHtIRERElCQ8kiTZugPdW2+9hR/84AfIyMhof6y1tRUejwderxfNzc0Rz0ULBoPw+XwIBALIzc21c2hERETkELvu37Yv5Vx33XXYtm1bxGM//elPMXDgQMybN08zKCEiIqL0Zntg0qVLF5SUlEQ81rlzZ3Tv3j3mcSIiIqJw7PxKREREruF451cA+Oijj+LxMkRERJTk4hKYGCHn4rKfCRERUfKQ79tWa2pcF5icOnUKANC7d+8Ej4SIiIiMOnXqFHw+n+nvt71c2KpQKIRDhw6hS5cu8Hi4SZ4ZwWAQvXv3xoEDB1hybRGvpT14He3Da2kfXkt7yNdx//798Hg8KCgogNdrPoXVdTMmXq8X3/nOdxI9jJSQm5vL/2w24bW0B6+jfXgt7cNraQ+fz2fLdWRVDhEREbkGAxMiIiJyDQYmKSg7OxsLFixAdnZ2ooeS9Hgt7cHraB9eS/vwWtrD7uvouuRXIiIiSl+cMSEiIiLXYGBCRERErsHAhIiIiFyDgQkRERG5BgOTFHLw4EHMnDkT3bt3R8eOHTFkyBD84x//SPSwkk5rayvKyspQVFSEjh07ol+/fli0aJHl/R/Swfr16zFlyhQUFBTA4/HgrbfeinhekiQ89NBDyM/PR8eOHTF+/Hjs2rUrMYN1Oa1refbsWcybNw9DhgxB586dUVBQgFtuuQWHDh1K3IBdTO/3Mtwdd9wBj8eDJ598Mm7jSxYi13H79u244YYb4PP50LlzZwwfPhz79+839DoMTFLEiRMnUFpaiszMTLz//vuora3F73//e3Tr1i3RQ0s6S5YswdKlS/H0009j+/btWLJkCX73u9/hj3/8Y6KH5npnzpzBZZddhmeeeUbx+d/97nf47//+bzz77LP45JNP0LlzZ3z/+99HU1NTnEfqflrXsrGxEVVVVSgrK0NVVRXeeOMN7NixAzfccEMCRup+er+XsjfffBObN29GQUFBnEaWXPSu4549ezB69GgMHDgQH330Eb744guUlZUhJyfH2AtJlBLmzZsnjR49OtHDSAmTJ0+Wbr/99ojHbrrpJmnGjBkJGlFyAiC9+eab7V+HQiHJ7/dLjz/+ePtjJ0+elLKzs6UVK1YkYITJI/paKtmyZYsEQNq3b198BpWk1K7lv/71L+nCCy+UampqpL59+0pPPPFE3MeWTJSu449//GNp5syZls/NGZMU8c477+DKK6/Ej370I/Ts2ROXX345ysvLEz2spHT11VdjzZo12LlzJwDg888/x8aNG3H99dcneGTJra6uDg0NDRg/fnz7Yz6fD1dddRUqKysTOLLUEAgE4PF40LVr10QPJemEQiHMmjULDzzwAAYPHpzo4SSlUCiE9957DwMGDMD3v/999OzZE1dddZXmspkaBiYp4quvvsLSpUvRv39/fPDBB5gzZw7uvvtuvPTSS4keWtJ58MEHMW3aNAwcOBCZmZm4/PLLce+992LGjBmJHlpSa2hoAAD06tUr4vFevXq1P0fmNDU1Yd68eZg+fTo3ozNhyZIl6NChA+6+++5EDyVpHTlyBKdPn8Zjjz2GiRMn4m9/+xt+8IMf4KabbsLf//53Q+dy3e7CZE4oFMKVV16JRx99FABw+eWXo6amBs8++yxuvfXWBI8uubz++ut45ZVX8Oqrr2Lw4MGorq7Gvffei4KCAl5Lcp2zZ8/i5ptvhiRJWLp0aaKHk3Q+/fRTPPXUU6iqqoLH40n0cJJWKBQCAEydOhVz584FAAwdOhQff/wxnn32WXz3u98VPhdnTFJEfn4+iouLIx4bNGiQ4WxoAh544IH2WZMhQ4Zg1qxZmDt3LhYvXpzooSU1v98PADh8+HDE44cPH25/joyRg5J9+/bhww8/5GyJCRs2bMCRI0fQp08fdOjQAR06dMC+fftw//33o7CwMNHDSxo9evRAhw4dbLkPMTBJEaWlpdixY0fEYzt37kTfvn0TNKLk1djYCK838r9GRkZG+ycCMqeoqAh+vx9r1qxpfywYDOKTTz7BqFGjEjiy5CQHJbt27cLq1avRvXv3RA8pKc2aNQtffPEFqqur2/8VFBTggQcewAcffJDo4SWNrKwsDB8+3Jb7EJdyUsTcuXNx9dVX49FHH8XNN9+MLVu2YNmyZVi2bFmih5Z0pkyZgkceeQR9+vTB4MGD8dlnn+EPf/gDbr/99kQPzfVOnz6N3bt3t39dV1eH6upq5OXloU+fPrj33nvx29/+Fv3790dRURHKyspQUFCAG2+8MXGDdimta5mfn48f/vCHqKqqwrvvvovW1tb2PJ28vDxkZWUlatiupPd7GR3UZWZmwu/345JLLon3UF1N7zo+8MAD+PGPf4xrrrkGY8eORUVFBVauXImPPvrI2AtZrush11i5cqVUUlIiZWdnSwMHDpSWLVuW6CElpWAwKN1zzz1Snz59pJycHOmiiy6Sfv3rX0vNzc2JHprrrVu3TgIQ8+/WW2+VJKmtZLisrEzq1auXlJ2dLV133XXSjh07Ejtol9K6lnV1dYrPAZDWrVuX6KG7jt7vZTSWCysTuY7PP/+8dPHFF0s5OTnSZZddJr311luGX8cjSWxnSURERO7AHBMiIiJyDQYmRERE5BoMTIiIiMg1GJgQERGRazAwISIiItdgYEJERESuwcCEiIiIXIOBCREREbkGAxMiIiJyDQYmRERE5BoMTIiIiMg1GJgQERGRa/z/P/wr1v7IOVMAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Let's plot the predictions against the actual result. Use scatter()\n",
+    "_=plt.scatter(y_test, y_pred)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Y3VK8DMEGqkz"
+   },
+   "source": [
+    "The above scatterplot represents how well the predictions match the actual results. \n",
+    "\n",
+    "Along the x-axis, we have the actual fixed acidity, and along the y-axis we have the predicted value for the fixed acidity.\n",
+    "\n",
+    "There is a visible positive correlation, as the model has not been totally unsuccesful, but it's clear that it is not maximally accurate: wines with an actual fixed acidity of just over 10 have been predicted as having acidity levels from about 6.3 to 13."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "SVhg665zGqk0"
+   },
+   "source": [
+    "Let's build a similar model using a different package, to see if we get a better result that way."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "cDiYKopuGqk0"
+   },
+   "source": [
+    "#### 3c. Making a Linear Regression model: our second model: Ordinary Least Squares (OLS)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "MSLdlC5RGqk1"
+   },
+   "outputs": [],
+   "source": [
+    "# Create the test and train sets. Here, we do things slightly differently.  \n",
+    "# We make the explanatory variable X as before.\n",
+    "X=red_winedf[['density']]\n",
+    "# But here, reassign X the value of adding a constant to it. This is required for Ordinary Least Squares Regression.\n",
+    "# Further explanation of this can be found here: \n",
+    "# https://www.statsmodels.org/devel/generated/statsmodels.regression.linear_model.OLS.html\n",
+    "X = sm.add_constant(X)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "0KdTFF3NGqk3"
+   },
+   "outputs": [],
+   "source": [
+    "# The rest of the preparation is as before.\n",
+    "\n",
+    "# Split the data using train_test_split()\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 123)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "73JmGJxlGqk6"
+   },
+   "outputs": [],
+   "source": [
+    "# Create the model\n",
+    "rModel2 = sm.OLS(y_train, X_train)\n",
+    "\n",
+    "# Fit the model with fit() \n",
+    "results2=rModel2.fit()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "Qb-6Sz8dGqk9"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            OLS Regression Results                            \n",
+      "==============================================================================\n",
+      "Dep. Variable:          fixed.acidity   R-squared:                       0.455\n",
+      "Model:                            OLS   Adj. R-squared:                  0.454\n",
+      "Method:                 Least Squares   F-statistic:                     998.8\n",
+      "Date:                Sat, 22 Jul 2023   Prob (F-statistic):          6.68e-160\n",
+      "Time:                        09:46:31   Log-Likelihood:                -2011.0\n",
+      "No. Observations:                1199   AIC:                             4026.\n",
+      "Df Residuals:                    1197   BIC:                             4036.\n",
+      "Df Model:                           1                                         \n",
+      "Covariance Type:            nonrobust                                         \n",
+      "==============================================================================\n",
+      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
+      "------------------------------------------------------------------------------\n",
+      "const       -615.7316     19.746    -31.182      0.000    -654.473    -576.990\n",
+      "density      626.0927     19.810     31.604      0.000     587.226     664.959\n",
+      "==============================================================================\n",
+      "Omnibus:                       94.056   Durbin-Watson:                   1.985\n",
+      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              122.229\n",
+      "Skew:                           0.668   Prob(JB):                     2.87e-27\n",
+      "Kurtosis:                       3.812   Cond. No.                     1.06e+03\n",
+      "==============================================================================\n",
+      "\n",
+      "Notes:\n",
+      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+      "[2] The condition number is large, 1.06e+03. This might indicate that there are\n",
+      "strong multicollinearity or other numerical problems.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Evaluate the model with .summary()\n",
+    "print(results2.summary())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "2LlLmwEfGqlB"
+   },
+   "source": [
+    "One of the great things about Statsmodels (sm) is that you get so much information from the summary() method. \n",
+    "\n",
+    "There are lots of values here, whose meanings you can explore at your leisure, but here's one of the most important: the R-squared score is 0.455, the same as what it was with the previous model. This makes perfect sense, right? It's the same value as the score from sklearn, because they've both used the same algorithm on the same data.\n",
+    "\n",
+    "Here's a useful link you can check out if you have the time: https://www.theanalysisfactor.com/assessing-the-fit-of-regression-models/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "lU654Tl3GqlB"
+   },
+   "outputs": [],
+   "source": [
+    "# Let's use our new model to make predictions of the dependent variable y. Use predict(), and plug in X_test as the parameter\n",
+    "y_pred2 = results2.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "7bGBv4wzGqlE"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the predictions\n",
+    "# Build a scatterplot\n",
+    "_=plt.scatter(y_test, y_pred2)\n",
+    "\n",
+    "# Add a line for perfect correlation. Can you see what this line is doing? Use plot()\n",
+    "plt.plot([x for x in range(9,15)],[x for x in range(9,15)], color='red')\n",
+    "\n",
+    "# Label it nicely\n",
+    "plt.xlabel('y_test')\n",
+    "plt.xlabel('y_pred2')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "F8gO2aZSGqlF"
+   },
+   "source": [
+    "The red line shows a theoretically perfect correlation between our actual and predicted values - the line that would exist if every prediction was completely correct. It's clear that while our points have a generally similar direction, they don't match the red line at all; we still have more work to do. \n",
+    "\n",
+    "To get a better predictive model, we should use more than one variable."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Z9dVIIRZGqlG"
+   },
+   "source": [
+    "#### 3d. Making a Linear Regression model: our third model: multiple linear regression\n",
+    "Remember, as Professor Spiegelhalter explains on p.132 of *AoS*, including more than one explanatory variable into a linear regression analysis is known as ***multiple linear regression***. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "8SdG0NKSGqlH"
+   },
+   "outputs": [],
+   "source": [
+    "# Create test and train datasets\n",
+    "# This is again very similar, but now we include more columns in the predictors\n",
+    "# Include all columns from data in the explanatory variables X except fixed.acidity and quality (which was an integer)\n",
+    "X = red_winedf.drop([\"fixed.acidity\", \"quality\"],axis=1)\n",
+    "\n",
+    "# Create constants for X, so the model knows its bounds\n",
+    "X = sm.add_constant(X)\n",
+    "\n",
+    "\n",
+    "# Split the data\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 123)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "1YnR6q3RGqlI"
+   },
+   "outputs": [],
+   "source": [
+    "# We can use almost identical code to create the third model, because it is the same algorithm, just different inputs\n",
+    "# Create the model\n",
+    "rModel3 = sm.OLS(y_train, X_train)\n",
+    "\n",
+    "# Fit the model\n",
+    "results3=rModel3.fit()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "qyZ54Rm4GqlL"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            OLS Regression Results                            \n",
+      "==============================================================================\n",
+      "Dep. Variable:          fixed.acidity   R-squared:                       0.874\n",
+      "Model:                            OLS   Adj. R-squared:                  0.873\n",
+      "Method:                 Least Squares   F-statistic:                     750.0\n",
+      "Date:                Sat, 22 Jul 2023   Prob (F-statistic):               0.00\n",
+      "Time:                        09:46:31   Log-Likelihood:                -1131.9\n",
+      "No. Observations:                1199   AIC:                             2288.\n",
+      "Df Residuals:                    1187   BIC:                             2349.\n",
+      "Df Model:                          11                                         \n",
+      "Covariance Type:            nonrobust                                         \n",
+      "========================================================================================\n",
+      "                           coef    std err          t      P>|t|      [0.025      0.975]\n",
+      "----------------------------------------------------------------------------------------\n",
+      "const                 -628.6578     15.535    -40.468      0.000    -659.136    -598.180\n",
+      "Unnamed: 0              -0.0002   4.35e-05     -5.244      0.000      -0.000      -0.000\n",
+      "volatile.acidity         0.1274      0.134      0.952      0.341      -0.135       0.390\n",
+      "citric.acid              1.8544      0.154     12.058      0.000       1.553       2.156\n",
+      "residual.sugar          -0.2414      0.015    -16.228      0.000      -0.271      -0.212\n",
+      "chlorides               -3.6637      0.438     -8.369      0.000      -4.523      -2.805\n",
+      "free.sulfur.dioxide      0.0094      0.002      3.872      0.000       0.005       0.014\n",
+      "total.sulfur.dioxide    -0.0073      0.001     -8.957      0.000      -0.009      -0.006\n",
+      "density                651.6950     15.467     42.136      0.000     621.350     682.040\n",
+      "pH                      -5.2198      0.148    -35.326      0.000      -5.510      -4.930\n",
+      "sulphates               -0.8533      0.129     -6.630      0.000      -1.106      -0.601\n",
+      "alcohol                  0.5749      0.025     23.141      0.000       0.526       0.624\n",
+      "==============================================================================\n",
+      "Omnibus:                      159.349   Durbin-Watson:                   2.044\n",
+      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              544.591\n",
+      "Skew:                           0.630   Prob(JB):                    5.54e-119\n",
+      "Kurtosis:                       6.052   Cond. No.                     1.12e+06\n",
+      "==============================================================================\n",
+      "\n",
+      "Notes:\n",
+      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+      "[2] The condition number is large, 1.12e+06. This might indicate that there are\n",
+      "strong multicollinearity or other numerical problems.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Evaluate the model\n",
+    "print(results3.summary())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "WNej4CuRGqlN"
+   },
+   "source": [
+    "The R-Squared score shows a big improvement - our first model predicted only around 45% of the variation, but now we are predicting 87%!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "oNUQzzo6GqlN"
+   },
+   "outputs": [],
+   "source": [
+    "# Use our new model to make predictions\n",
+    "y_pred3 = results3.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "U57NRSbAGqlP"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the predictions\n",
+    "# Build a scatterplot\n",
+    "_=plt.scatter(y_test, y_pred3)\n",
+    "\n",
+    "# Add a line for perfect correlation\n",
+    "plt.plot([x for x in range(9,15)],[x for x in range(9,15)], color='red')\n",
+    "\n",
+    "# Label it nicely\n",
+    "plt.xlabel('y_test')\n",
+    "plt.xlabel('y_pred3')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "S1ibYGRMGqlR"
+   },
+   "source": [
+    "We've now got a much closer match between our data and our predictions, and we can see that the shape of the data points is much more similar to the red line. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "JWV66iJBGqlR"
+   },
+   "source": [
+    "We can check another metric as well - the RMSE (Root Mean Squared Error). The MSE is defined by Professor Spiegelhalter on p.393 of *AoS*, and the RMSE is just the square root of that value. This is a measure of the accuracy of a regression model. Very simply put, it's formed by finding the average difference between predictions and actual values. Check out p. 163 of *AoS* for a reminder of how this works. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "akOtp5XbGqlS"
+   },
+   "outputs": [],
+   "source": [
+    "# Define a function to check the RMSE. Remember the def keyword needed to make functions? \n",
+    "def rmse(predictions, targets):\n",
+    "    return np.sqrt(((predictions - targets) ** 2).mean())\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "WDwrCwzIGqlV"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.2969774672943"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get predictions from rModel3\n",
+    "y_pred3 = results3.predict(X_test)\n",
+    "# Put the predictions & actual values into a dataframe\n",
+    "matches = pd.DataFrame(y_test)\n",
+    "matches.rename(columns = {'fixed.acidity':'actual'}, inplace=True)\n",
+    "matches[\"predicted\"] = y_pred\n",
+    "\n",
+    "rmse(matches[\"actual\"], matches[\"predicted\"])\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "GT2va_xdGqlY"
+   },
+   "source": [
+    "The RMSE tells us how far, on average, our predictions were mistaken. An RMSE of 0 would mean we were making perfect predictions. 0.6 signifies that we are, on average, about 0.6 of a unit of fixed acidity away from the correct answer. That's not bad at all."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "V_L9Y6n_GqlZ"
+   },
+   "source": [
+    "#### 3e. Making a Linear Regression model: our fourth model: avoiding redundancy "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "4mOHh6J3GqlZ"
+   },
+   "source": [
+    "We can also see from our early heat map that volatile.acidity and citric.acid are both correlated with pH. We can make a model that ignores those two variables and just uses pH, in an attempt to remove redundancy from our model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "VwClRAN4Gqla"
+   },
+   "outputs": [],
+   "source": [
+    "# Create test and train datasets\n",
+    "# Include the remaining six columns as predictors\n",
+    "X = red_winedf[[\"residual.sugar\",\"chlorides\",\"total.sulfur.dioxide\",\"density\",\"pH\",\"sulphates\"]]\n",
+    "\n",
+    "# Create constants for X, so the model knows its bounds\n",
+    "X = sm.add_constant(X)\n",
+    "# Split the data\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 123)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "7IXsxASsGqlc"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            OLS Regression Results                            \n",
+      "==============================================================================\n",
+      "Dep. Variable:          fixed.acidity   R-squared:                       0.742\n",
+      "Model:                            OLS   Adj. R-squared:                  0.741\n",
+      "Method:                 Least Squares   F-statistic:                     571.8\n",
+      "Date:                Sat, 22 Jul 2023   Prob (F-statistic):               0.00\n",
+      "Time:                        09:46:31   Log-Likelihood:                -1562.3\n",
+      "No. Observations:                1199   AIC:                             3139.\n",
+      "Df Residuals:                    1192   BIC:                             3174.\n",
+      "Df Model:                           6                                         \n",
+      "Covariance Type:            nonrobust                                         \n",
+      "========================================================================================\n",
+      "                           coef    std err          t      P>|t|      [0.025      0.975]\n",
+      "----------------------------------------------------------------------------------------\n",
+      "const                 -485.6576     16.010    -30.335      0.000    -517.068    -454.247\n",
+      "residual.sugar          -0.1078      0.020     -5.481      0.000      -0.146      -0.069\n",
+      "chlorides               -6.3544      0.578    -10.990      0.000      -7.489      -5.220\n",
+      "total.sulfur.dioxide    -0.0094      0.001    -11.799      0.000      -0.011      -0.008\n",
+      "density                516.4441     15.894     32.492      0.000     485.260     547.628\n",
+      "pH                      -6.0430      0.184    -32.766      0.000      -6.405      -5.681\n",
+      "sulphates                0.7540      0.165      4.559      0.000       0.430       1.078\n",
+      "==============================================================================\n",
+      "Omnibus:                      105.987   Durbin-Watson:                   2.002\n",
+      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              206.837\n",
+      "Skew:                           0.572   Prob(JB):                     1.22e-45\n",
+      "Kurtosis:                       4.683   Cond. No.                     5.08e+04\n",
+      "==============================================================================\n",
+      "\n",
+      "Notes:\n",
+      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+      "[2] The condition number is large, 5.08e+04. This might indicate that there are\n",
+      "strong multicollinearity or other numerical problems.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create the fifth model\n",
+    "rModel4 = sm.OLS(y_train, X_train)\n",
+    "# Fit the model\n",
+    "results4=rModel4.fit()\n",
+    "# Evaluate the model\n",
+    "print(results4.summary())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "eTkBnGW5Gqle"
+   },
+   "source": [
+    "The R-squared score has reduced, showing us that actually, the removed columns were important."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "DavE_2ejGqle"
+   },
+   "source": [
+    "### Conclusions & next steps"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "JznDokUxGqlf"
+   },
+   "source": [
+    "Congratulations on getting through this implementation of regression and good data science practice in Python! \n",
+    "\n",
+    "Take a moment to reflect on which model was the best, before reading on.\n",
+    "\n",
+    ".\n",
+    ".\n",
+    ".\n",
+    "\n",
+    "Here's one conclusion that seems right. While our most predictively powerful model was rModel3, this model had explanatory variables that were correlated with one another, which made some redundancy. Our most elegant and economical model was rModel4 - it used just a few predictors to get a good result. \n",
+    "\n",
+    "All of our models in this notebook have used the OLS algorithm - Ordinary Least Squares. There are many other regression algorithms, and if you have time, it would be good to investigate them. You can find some examples [here](https://www.statsmodels.org/dev/examples/index.html#regression). Be sure to make a note of what you find, and chat through it with your mentor at your next call.\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "collapsed_sections": [],
+   "name": "Springboard Regression Case Study, Unit 8 - the Red Wine Dataset - Tier 3.ipynb",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Jessica_Williams_SQLTasks Tier 2.sql b/Jessica_Williams_SQLTasks Tier 2.sql
new file mode 100644
index 00000000..fe56d8a9
--- /dev/null
+++ b/Jessica_Williams_SQLTasks Tier 2.sql	
@@ -0,0 +1,201 @@
+/* Welcome to the SQL mini project. You will carry out this project partly in
+the PHPMyAdmin interface, and partly in Jupyter via a Python connection.
+
+This is Tier 2 of the case study, which means that there'll be less guidance for you about how to setup
+your local SQLite connection in PART 2 of the case study. This will make the case study more challenging for you: 
+you might need to do some digging, aand revise the Working with Relational Databases in Python chapter in the previous resource.
+
+Otherwise, the questions in the case study are exactly the same as with Tier 1. 
+
+PART 1: PHPMyAdmin
+You will complete questions 1-9 below in the PHPMyAdmin interface. 
+Log in by pasting the following URL into your browser, and
+using the following Username and Password:
+
+URL: https://sql.springboard.com/
+Username: student
+Password: learn_sql@springboard
+
+The data you need is in the "country_club" database. This database
+contains 3 tables:
+    i) the "Bookings" table,
+    ii) the "Facilities" table, and
+    iii) the "Members" table.
+
+In this case study, you'll be asked a series of questions. You can
+solve them using the platform, but for the final deliverable,
+paste the code for each solution into this script, and upload it
+to your GitHub.
+
+Before starting with the questions, feel free to take your time,
+exploring the data, and getting acquainted with the 3 tables. */
+
+
+/* QUESTIONS 
+/* Q1: Some of the facilities charge a fee to members, but some do not.
+Write a SQL query to produce a list of the names of the facilities that do. */
+
+Answer:
+SELECT name, membercost AS is_memcost
+FROM Facilities
+WHERE membercost>0;
+
+/* Q2: How many facilities do not charge a fee to members? */
+
+Answer:
+SELECT COUNT(membercost) AS no_memcost
+FROM Facilities
+WHERE membercost=0;
+
+/* Q3: Write an SQL query to show a list of facilities that charge a fee to members,
+where the fee is less than 20% of the facility's monthly maintenance cost.
+Return the facid, facility name, member cost, and monthly maintenance of the
+facilities in question. */
+
+Answer:
+SELECT name, membercost AS less_memcost
+FROM Facilities
+WHERE membercost>0 AND membercost<(.20 * monthlymaintenance);
+
+/* Q4: Write an SQL query to retrieve the details of facilities with ID 1 and 5.
+Try writing the query without using the OR operator. */
+
+Answer:
+SELECT *
+FROM Facilities
+WHERE facid IN(1,5);
+
+
+/* Q5: Produce a list of facilities, with each labelled as
+'cheap' or 'expensive', depending on if their monthly maintenance cost is
+more than $100. Return the name and monthly maintenance of the facilities
+in question. */
+
+Answer:
+SELECT name, monthlymaintenance, 
+CASE WHEN monthlymaintenance<= 100 THEN 'cheap' 
+     WHEN monthlymaintenance>100 THEN 'expensive' END 
+     AS price_category 
+FROM Facilities;
+
+/* Q6: You'd like to get the first and last name of the last member(s)
+who signed up. Try not to use the LIMIT clause for your solution. */
+
+Answer:
+SELECT surname, firstname, joindate
+FROM Members
+WHERE joindate=(
+SELECT MAX(joindate) FROM Members); 
+
+/* Q7: Produce a list of all members who have used a tennis court.
+Include in your output the name of the court, and the name of the member
+formatted as a single column. Ensure no duplicate data, and order by
+the member name. */
+
+Answer:
+SELECT DISTINCT f.name AS Facility,memid, CONCAT(firstName , ' ' , surname) as full_name
+FROM Bookings AS b
+INNER JOIN Facilities AS f USING(facid)
+INNER JOIN Members AS m USING (memid)
+WHERE facid IN
+	(SELECT facid
+     FROM Bookings 
+     WHERE facid=0 OR facid=1)
+ORDER BY full_name;
+
+
+
+/* Q8: Produce a list of bookings on the day of 2012-09-14 which
+will cost the member (or guest) more than $30. Remember that guests have
+different costs to members (the listed costs are per half-hour 'slot'), and
+the guest user's ID is always 0. Include in your output the name of the
+facility, the name of the member formatted as a single column, and the cost.
+Order by descending cost, and do not use any subqueries. */
+
+Answer:
+SELECT f.name AS Facility,
+    concat(m.firstname, ' ', m.surname) AS full_name,
+    IF(b.memid = 0, b.slots * f.guestcost, b.slots * f.membercost) AS Cost
+FROM Bookings as b
+INNER JOIN Facilities AS f USING(facid)
+INNER JOIN Members AS m USING (memid)
+WHERE starttime LIKE '2012-09-14%' AND IF(b.memid = 0, b.slots * f.guestcost, b.slots * f.membercost > 30)
+ORDER BY Cost DESC;
+
+/* Q9: This time, produce the same result as in Q8, but using a subquery. */
+
+Answer:
+SELECT f.name AS Facility,
+    concat(m.firstname, ' ', m.surname) AS full_name,
+    IF(b.memid = 0, b.slots * f.guestcost, b.slots * f.membercost) AS Cost
+FROM Bookings as b
+INNER JOIN Facilities AS f USING(facid)
+INNER JOIN Members AS m USING (memid)
+WHERE starttime LIKE '2012-09-14%'
+	AND bookid IN
+    (SELECT
+    	bookid
+        FROM Bookings
+        WHERE IF(b.memid = 0, b.slots * f.guestcost > 30, b.slots * f.membercost > 30))
+ORDER BY Cost DESC;
+
+/* PART 2: SQLite
+
+Export the country club data from PHPMyAdmin, and connect to a local SQLite instance from Jupyter notebook 
+for the following questions.  
+
+QUESTIONS:
+/* Q10: Produce a list of facilities with a total revenue less than 1000.
+The output of facility name and total revenue, sorted by revenue. Remember
+that there's a different cost for guests and members! */
+
+Answer:
+SELECT * 
+FROM (
+SELECT lrev.facility, SUM( lrev.cost ) AS total_revenue
+FROM (
+SELECT Facilities.name AS facility, 
+CASE WHEN Bookings.memid =0
+THEN Facilities.guestcost * Bookings.slots
+ELSE Facilities.membercost * Bookings.slots
+END AS cost
+FROM Bookings
+INNER JOIN Facilities ON Bookings.facid = Facilities.facid
+INNER JOIN Members ON Bookings.memid = Members.memid
+)lrev
+GROUP BY lrev.facility
+)lrev2
+WHERE lrev2.total_revenue <1000;
+
+/* Q11: Produce a report of members and who recommended them in alphabetic surname,firstname order */
+
+Answer:
+SELECT m.surname, m.firstname, m.recommendedby AS recomender_id, r.surname AS recomender_surname, r.firstname AS recomender_firstname
+FROM Members AS m
+LEFT JOIN Members AS r ON m.recommendedby = r.memid
+WHERE m.recommendedby != 0
+ORDER BY r.surname, r.firstname;
+
+
+/* Q12: Find the facilities with their usage by member, but not guests */
+
+Answer:
+SELECT b.facid, COUNT( b.memid ) AS mem_usage, f.name
+FROM (
+SELECT facid, memid
+FROM Bookings
+WHERE memid !=0
+) AS b
+LEFT JOIN Facilities AS f ON b.facid = f.facid
+GROUP BY b.facid;
+
+/* Q13: Find the facilities usage by month, but not guests */
+
+Answer:
+SELECT b.months, COUNT( b.memid ) AS mem_usage
+FROM (
+SELECT MONTH( starttime ) AS months, memid
+FROM Bookings
+WHERE memid !=0
+) AS b
+GROUP BY b.months;
diff --git a/Logistic Regression Advanced Case Study.ipynb b/Logistic Regression Advanced Case Study.ipynb
new file mode 100644
index 00000000..f8dedda5
--- /dev/null
+++ b/Logistic Regression Advanced Case Study.ipynb	
@@ -0,0 +1,3885 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "hide": true
+   },
+   "source": [
+    "# Springboard: Logistic Regression Advanced Case Study\n",
+    "\n",
+    "In this case study we introduce the <b>Logistic Regression</b> algorithm, which can be used to build models that are  simple and yet effecive--in some cases. This algorithm can be used to build useful baseline models for classification problems that can be easily interpreted. For these reasons, <b>Logistic Regression</b> is considered as one of the fundamental Machine Learning algorithms associated with classification problems.\n",
+    "\n",
+    "Here is a list of the main concepts covered in this notebook:\n",
+    "\n",
+    "### Table of Contents\n",
+    "* [Classification](#Classification)\n",
+    "* [Citing references and data](#Citing-references-and-data)\n",
+    "* [About the dataset](#About-the-dataset)\n",
+    "* [The Data Science Process](#The-Data-Science-Process)\n",
+    "* [Libraries that will be used](#Libraries-that-will-be-used)\n",
+    "* [Loading the Data](#Loading-the-data)\n",
+    "* [\"Minimal EDA\"](#\"Minimal-EDA\")\n",
+    "    * [Transformaton of categorical features](#Transformation-of-categorical-features)\n",
+    "    * [Proportion of classes](#Proportion-of-classes)\n",
+    "    * [Side Bar: Balanced and Imbalanced Classes](#Side-Bar:-Balanced-and-Imbalanced-Classes)\n",
+    "* [Optional: Building a Logistic Regression Model with Only Two Features](#Optional:-Building-a-Logistic-Regression-Model-with-Only-Two-Features)\n",
+    "    * [The model building cycle](#The-model-building-cycle)\n",
+    "    * [Some Comments on this Result](#Some-Comments-on-this-Result)\n",
+    "* [Building a Logistic Regression Model with all Features](#Building-a-Logistic-Regression-Model-with-all-Features)\n",
+    "    * [(a) Define X and y](#(a)-Define-X-and-y)\n",
+    "    * [(b) Perform train/test split on $(X, y)$](#(b)-Perform-train/test-split-on-$(X,-y)$)\n",
+    "    * [(c) Create an object of the class associated with the algorithm to be used--in this case LogisticRegression](#(c)-Create-an-object-of-the-class-associated-with-the-algorithm-to-be-used--in-this-case-LogisticRegression)\n",
+    "    * [(d) Build an actual model using the fit method from the class associated with the algorithm to be used (using the training set)](#(d)-Build-an-actual-model-using-the-fit-method-from-the-class-associated-with-the-algorithm-to-be-used-(using-the-training-set))\n",
+    "    * [(e) Predict with the built model using the predict method from the class (training set and test set)](#(e)-Predict-with-the-built-model-using-the-predict-method-from-the-class-(training-set-and-test-set))\n",
+    "    * [(f) Compute performance metrics (in this case, accuracy) for the training and test predictions. In general, the metrics to be used and their interpretation will depend on the application at hand](#(f)-Compute-performance-metrics-(in-this-case,-accuracy)-for-the-training-and-test-predictions.-In-general,-the-metrics-to-be-used-and-their-interpretation-will-depend-on-the-application-at-hand)\n",
+    "    * [(g) Determine if the model can be improved--repeat as needed with additional algorithms and/or by applying hyper-parameter tuning](#(g)-Determine-if-the-model-can-be-improved--repeat-as-needed-with-additional-algorithms-and/or-by-applying-hyper-parameter-tuning)\n",
+    "    * [Side-Bar: NEVER EVER use just Accuracy to Measure the Performance of a Classification Algorithm!](#Side-Bar:-NEVER-EVER-use-just-Accuracy-to-Measure-the-Performance-of-a-Classification-Algorithm!)\n",
+    "* [Logistic Regression Parameters in scikit-learn](#Logistic-Regression-Parameters-in-scikit-learn)\n",
+    "    * [Tuning the Model](#Tuning-the-Model)\n",
+    "    * [Side-Bar: Cross Validation](#Side-Bar:-Cross-Validation)\n",
+    "    * [Black Box Grid Search in sklearn](#Black-Box-Grid-Search-in-sklearn)\n",
+    "* [Summary](#Summary)    \n",
+    "* [Optional: Appendix](#Optional:-Appendix)\n",
+    "    * [A Walkthrough of the Math Behind Logistic Regression](#A-Walkthrough-of-the-Math-Behind-Logistic-Regression)\n",
+    "    * [The Probabalistic Interpretation](#The-Probabalistic-Interpretation)\n",
+    "    * [Maximizing the Probability of the Training Set](#Maximizing-the-Probability-of-the-Training-Set)\n",
+    "    * [Discriminative vs Generative Classifiers](#Discriminative-vs-Generative-Classifiers)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Credits  \n",
+    "  \n",
+    "We've adapted some parts of this Case Study from [Lab 5 in the CS109 course](https://github.com/cs109/2015lab5) course. Please feel free to check out the original lab, both for more exercises, as well as some ideas for this project.  \n",
+    "  \n",
+    "Blaine Bateman--Data Scientist, Springboard DSC TA, updated & formatted  \n",
+    "  \n",
+    "AJ Sanchez--Data Scientist & Software Engineer, Springboard DSC Mentor, reviewed & suggested improvements"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Classification"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Classification tries to predict which of a set of classes an observation belongs to, where classes are things like \"dog or cat\". Mathematically, the aim is to find a model $G(X, y)$ where $X$ is a matrix of features constructed from the data, and $y$ is a vector of class labels associated with each row (instance) in $X$, such that the model $G$ does a good job predicting classes given new data $X'$. For instance, consider a doctor trying to assess whether a paitent has heart disease and needs treatment. In this case, the classes are \"has heart disease\" or \"does not have heart disease\". To have a machine do this well, we would typically feed the machine a set of data about prior patients along with whether they had heart disease (determined by some other examinations or tests), and *train* the model with the *features* (things observed about the patients, like age, weight, etc.) and the *labels* (whether the patient had heart disease). Then, given the same observations (i.e. the same features) for a *new* patient, the trained model returns the class associated with such observations, which can be used as a predictor of whether the person has heart disease or not.\n",
+    "\n",
+    "The main idea on which the Logistic Regression algorithm is based is shown schematically in the image below, for a simple case of two features (a.k.a. 2-D feature space). In its simpler form, the algorithm tries to find a line that divides \"things\" of two different types in this 2-D feature space. Such a line is usually called a decision boundary, but in general, the decision boundary might have a more complex form, and be in a higher dimensional space (that isn't easily represented in a 2-D chart). Of course, in reality most problems are more complex and are modeled with more than 2 dimensions, as we will see in this Case Study.\n",
+    "\n",
+    "![Splitting using a single line](images/onelinesplit.png)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Case Study Problem Definition: Predicting Heart Disease"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We'll use a dataset containing anonymous health information to build models to predict the presence or absence of heart disease from facts and measurements on a group of adults to hone our understanding of classifiers."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Citing references and data\n",
+    "It's a good idea to cite the sources when you use code and data from somewhere else.  In this case, the data we will use was adapted from:  \n",
+    "  \n",
+    "https://archive.ics.uci.edu/ml/datasets/heart+disease"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### About the dataset\n",
+    "\n",
+    "There are multiple datasets available at the link, for this study we started with the processed Cleveland data (see [UCI heart disease Cleveland data](https://archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/processed.cleveland.data)).  We updated the column names to be more self-explanatory, and removed a small number of observations missing one or more values. Please feel free to review the information and references on the UCI site to learn more about the data, as well as see versions with more features."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### The Data Science Process"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You should recall from the Guided Capstone, that we are following the Data Science Process:\n",
+    " - Step One: Problem Identification\n",
+    " - Step Two: Data Wrangling\n",
+    " - Step Three: Exploratory Data Analysis\n",
+    " - Step Four: Pre-processing and Training Data Development\n",
+    " - Step Five: Modeling\n",
+    " - Step Six: Documentation\n",
+    " \n",
+    "In this Case Study, we **won't complete all the steps**, but you should keep them in mind as you progress through the remainder of the project. For example, we have already completed Step One--the problem is to use machine learning to help doctors asses whether a paitent has heart disease or not, using information from examinations. Also, we noted we removed some cases with missing values, as a brief version of Step Two. Importantly, we've will highly abbreviate Step Three--EDA. In most projects you would want to spend considerable time on EDA. Step Four will be addressed as we deal with categorial variables later and split the data into training, validation, and test sets. Most of your time in the Case Study will be spend on Step Five, Modeling. In a complete project, you would often prepare a report or some presentation materials for Step Six, but will not do that here.\n",
+    "\n",
+    "We suggest you discuss with your mentor how these various steps can be fully addressed, and consider developing them for \"extra credit\" 😉."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this study we are going to use scikit-learn to build classification models, and we need a few other modules to visualize data and manipulate the data before modeling. Here, load the needed modules."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Libraries that will be used"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "hide": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loaded Libraries\n"
+     ]
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "#\n",
+    "# data manipulation and math\n",
+    "#\n",
+    "import numpy as np\n",
+    "import scipy as sp\n",
+    "import pandas as pd\n",
+    "#\n",
+    "# plotting and visualization\n",
+    "#\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.cm as cm\n",
+    "from matplotlib.colors import ListedColormap\n",
+    "import matplotlib.pyplot as plt\n",
+    "#\n",
+    "import seaborn as sns\n",
+    "#\n",
+    "# modeling\n",
+    "#\n",
+    "from sklearn.preprocessing import OneHotEncoder as OHE\n",
+    "import sklearn.model_selection\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.model_selection import KFold\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.metrics import accuracy_score, f1_score\n",
+    "from sklearn.metrics import classification_report\n",
+    "from sklearn.metrics import confusion_matrix\n",
+    "from sklearn.metrics import ConfusionMatrixDisplay\n",
+    "from sklearn.model_selection import GridSearchCV\n",
+    "#\n",
+    "print(\"Loaded Libraries\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "> **Note**  \n",
+    "It is a good practice to put all module imports in one cell near the top of the notebook, or a group of cells near the top.  This makes it easier for another person to use your notebook later--they can see what might be needed in their Python envioronment before getting far into the notebook and having a failed import.  As you find needed modules while you develop your code, add them to a common cell near the top."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we want to set some options in Jupyter and for Matplotlib, Pandas and Seaborn. Don't worry if you are familiar with all the settings here--you can look them up easily if you want to customize them."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\AppData\\Local\\Temp\\ipykernel_14608\\4051103729.py:5: MatplotlibDeprecationWarning: The seaborn styles shipped by Matplotlib are deprecated since 3.6, as they no longer correspond to the styles shipped by seaborn. However, they will remain available as 'seaborn-v0_8-<style>'. Alternatively, directly use the seaborn API instead.\n",
+      "  plt.style.use('seaborn-pastel')\n"
+     ]
+    }
+   ],
+   "source": [
+    "pd.set_option('display.max_columns', None)\n",
+    "pd.set_option('display.max_colwidth', None)\n",
+    "#\n",
+    "plt.rcParams['figure.figsize'] = (3, 3)\n",
+    "plt.style.use('seaborn-pastel')\n",
+    "plt.rcParams['figure.dpi'] = 150      \n",
+    "#\n",
+    "c0 = sns.color_palette()[0]\n",
+    "c1 = sns.color_palette()[1]\n",
+    "c2 = sns.color_palette()[2]\n",
+    "#\n",
+    "cmap_light = ListedColormap(['#FFAAAA', '#AAFFAA', '#AAAAFF'])\n",
+    "cmap_bold = ListedColormap(['#FF0000', '#00FF00', '#0000FF'])\n",
+    "cm = plt.cm.RdBu\n",
+    "cm_bright = ListedColormap(['#FF0000', '#0000FF'])\n",
+    "#"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As a final step of preparations, we provide two utility functions we will use to illustrate the concepts of classification using logistic regresssion. \n",
+    "\n",
+    "Putting this code in functions makes it efficient to re-use, as well as easier to maintain and fine-tune over time. Feel free to come back to the code for these functions and understand what they do when you use them later in the Case Study."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def points_plot(ax, Xtr, Xte, ytr, yte, \n",
+    "                clf, \n",
+    "                mesh = True, colorscale = cmap_light, cdiscrete = cmap_bold, \n",
+    "                alpha = 0.1, psize = 10, \n",
+    "                zfunc = False, predicted = False):\n",
+    "#\n",
+    "# note: this function only works for X.shape = (:, 2)\n",
+    "# it is intended to illustrate the classifier boundary\n",
+    "#\n",
+    "# get the column names if they exist to apply\n",
+    "# to the meshed data generated below\n",
+    "#\n",
+    "    try:\n",
+    "        feature_names = Xtr.columns\n",
+    "    except:\n",
+    "        feature_names = None\n",
+    "#        \n",
+    "    Xtrain = np.array(Xtr)\n",
+    "    Xtest = np.array(Xte)\n",
+    "#\n",
+    "    h = 0.02\n",
+    "#\n",
+    "# create a uniform grid spanning the range of the X values\n",
+    "# note that y here is NOT the target, it is the 2nd\n",
+    "# dimension of the desired plot\n",
+    "#\n",
+    "    X = np.concatenate((Xtrain, Xtest))\n",
+    "    x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5\n",
+    "    y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5\n",
+    "    xx, yy = np.meshgrid(np.linspace(x_min, x_max, 100),\n",
+    "                         np.linspace(y_min, y_max, 100))\n",
+    "#\n",
+    "# predict the target value at each point in the grid\n",
+    "#\n",
+    "# this method uses the probabilities from the classifier\n",
+    "# and applies a function to determine the class\n",
+    "#\n",
+    "    if zfunc:\n",
+    "        mesh_data = np.c_[xx.ravel(), yy.ravel()]\n",
+    "        if feature_names is not None:\n",
+    "            mesh_data = pd.DataFrame(mesh_data, \n",
+    "                         columns = feature_names)\n",
+    "        p0 = clf.predict_proba(mesh_data)[:, 0]\n",
+    "        p1 = clf.predict_proba(mesh_data)[:, 1]\n",
+    "        Z = zfunc(p0, p1)\n",
+    "#\n",
+    "# this method uses the classifier to predict the classes directly\n",
+    "#\n",
+    "    else:\n",
+    "        mesh_data = np.c_[xx.ravel(), yy.ravel()]\n",
+    "        if feature_names is not None:\n",
+    "            mesh_data = pd.DataFrame(mesh_data, \n",
+    "                                     columns = feature_names)\n",
+    "        Z = clf.predict(mesh_data)\n",
+    "    ZZ = Z.reshape(xx.shape)\n",
+    "#\n",
+    "# plt.pcolormesh() creates a shaded result over the grid\n",
+    "#\n",
+    "    if mesh:\n",
+    "        plt.pcolormesh(xx, yy, ZZ, \n",
+    "                       cmap = cmap_light, \n",
+    "                       alpha = alpha, \n",
+    "                       axes = ax, \n",
+    "                       shading = 'auto')\n",
+    "#\n",
+    "# add the points to the plot\n",
+    "# these can be the original target values\n",
+    "# or the predicted values\n",
+    "#\n",
+    "    if predicted:\n",
+    "        showtr = clf.predict(Xtr)\n",
+    "        showte = clf.predict(Xte)\n",
+    "    else:\n",
+    "        showtr = ytr\n",
+    "        showte = yte\n",
+    "#\n",
+    "# plot training points\n",
+    "#\n",
+    "    ax.scatter(Xtrain[:, 0], Xtrain[:, 1], \n",
+    "               c = showtr - 1, \n",
+    "               cmap = cmap_bold, \n",
+    "               s = psize, \n",
+    "               alpha = alpha, \n",
+    "               edgecolor = \"k\")\n",
+    "#    \n",
+    "# plot testing points\n",
+    "#\n",
+    "    ax.scatter(Xtest[:, 0], Xtest[:, 1],\n",
+    "               c = showte - 1, \n",
+    "               cmap = cmap_bold, \n",
+    "               s = psize + 10,\n",
+    "               alpha = alpha, \n",
+    "               marker = \"s\")\n",
+    "    ax.set_xlim(xx.min(), xx.max())\n",
+    "    ax.set_ylim(yy.min(), yy.max())\n",
+    "#\n",
+    "    return ax, xx, yy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def points_plot_prob(ax, Xtr, Xte, ytr, yte, \n",
+    "                     clf, colorscale = cmap_light, cdiscrete = cmap_bold, \n",
+    "                     ccolor = cm, \n",
+    "                     alpha = 0.1, psize = 10):\n",
+    "    try:\n",
+    "        feature_names = Xtr.columns\n",
+    "    except:\n",
+    "        feature_names = None\n",
+    "#        \n",
+    "    Xtrain = np.array(Xtr)\n",
+    "    Xtest = np.array(Xte)\n",
+    "#    \n",
+    "    ax, xx, yy = points_plot(ax, Xtr, Xte, ytr, yte,\n",
+    "                         clf,\n",
+    "                         mesh = False, \n",
+    "                         colorscale = colorscale, cdiscrete = cdiscrete, \n",
+    "                         psize = psize, alpha = alpha,\n",
+    "                         predicted = True) \n",
+    "    mesh_data = np.c_[xx.ravel(), yy.ravel()]\n",
+    "    if feature_names is not None:\n",
+    "        mesh_data = pd.DataFrame(mesh_data, \n",
+    "                     columns = feature_names)    \n",
+    "    Z = clf.predict_proba(mesh_data)[:, 1]\n",
+    "    Z = Z.reshape(xx.shape)\n",
+    "    plt.contourf(xx, yy, Z, cmap = ccolor, alpha = 0.2)\n",
+    "    cs2 = plt.contour(xx, yy, Z, cmap = ccolor, alpha = 0.6)\n",
+    "    plt.clabel(cs2, fmt = '%2.1f', colors = 'k', fontsize = 12)\n",
+    "#\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Loading the data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As a first step, read in the data and view all the columns, and display the top of the DataFrame using head()."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The data have  270  rows and  14  columns\n",
+      "\n",
+      "column names: \n",
+      "\n",
+      "age_yr\n",
+      "sex_M_F\n",
+      "chest_pain_value\n",
+      "resting_BP_mm_Hg\n",
+      "cholesterol_mg_dl\n",
+      "fasting_blood_sugar_high\n",
+      "ECG_value\n",
+      "max_HR\n",
+      "exercise_angina\n",
+      "ST_depresssion_exercise\n",
+      "ST_slope_peak\n",
+      "number_vessels_involved\n",
+      "defect_diag\n",
+      "heart_disease\n"
+     ]
+    }
+   ],
+   "source": [
+    "dflog = pd.read_excel(\"C:/Users/jwatki8/Downloads/Logistic Regression Advanced Case Study -LU- 8_23/data/heart.xlsx\")\n",
+    "#\n",
+    "print('The data have ', dflog.shape[0], ' rows and ', dflog.shape[1], ' columns\\n')\n",
+    "print('column names: \\n')\n",
+    "print('\\n'.join(list(dflog.columns)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### \"Minimal EDA\"\n",
+    "\n",
+    "Earlier we reviewed the Data Science Process and noted we would not fully complete all steps here, and in particular much more time would normally be spent on Exploratory Data Analysis (EDA). Here, we look at the first few rows of the data, plot the variables to get a feel for the data, then apply some necessary transformations followed by inspecting the distribution of the two result classes (heart disease present or not present)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>age_yr</th>\n",
+       "      <th>sex_M_F</th>\n",
+       "      <th>chest_pain_value</th>\n",
+       "      <th>resting_BP_mm_Hg</th>\n",
+       "      <th>cholesterol_mg_dl</th>\n",
+       "      <th>fasting_blood_sugar_high</th>\n",
+       "      <th>ECG_value</th>\n",
+       "      <th>max_HR</th>\n",
+       "      <th>exercise_angina</th>\n",
+       "      <th>ST_depresssion_exercise</th>\n",
+       "      <th>ST_slope_peak</th>\n",
+       "      <th>number_vessels_involved</th>\n",
+       "      <th>defect_diag</th>\n",
+       "      <th>heart_disease</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>70</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
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+       "      <td>322</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>109</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>67</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>115</td>\n",
+       "      <td>564</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>160</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>57</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>124</td>\n",
+       "      <td>261</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>141</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>64</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>128</td>\n",
+       "      <td>263</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>105</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>74</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>120</td>\n",
+       "      <td>269</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>121</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   age_yr  sex_M_F  chest_pain_value  resting_BP_mm_Hg  cholesterol_mg_dl  \\\n",
+       "0      70        1                 4               130                322   \n",
+       "1      67        0                 3               115                564   \n",
+       "2      57        1                 2               124                261   \n",
+       "3      64        1                 4               128                263   \n",
+       "4      74        0                 2               120                269   \n",
+       "\n",
+       "   fasting_blood_sugar_high  ECG_value  max_HR  exercise_angina  \\\n",
+       "0                         0          2     109                0   \n",
+       "1                         0          2     160                0   \n",
+       "2                         0          0     141                0   \n",
+       "3                         0          0     105                1   \n",
+       "4                         0          2     121                1   \n",
+       "\n",
+       "   ST_depresssion_exercise  ST_slope_peak  number_vessels_involved  \\\n",
+       "0                      2.4              2                        3   \n",
+       "1                      1.6              2                        0   \n",
+       "2                      0.3              1                        0   \n",
+       "3                      0.2              2                        1   \n",
+       "4                      0.2              1                        1   \n",
+       "\n",
+       "   defect_diag  heart_disease  \n",
+       "0            3              1  \n",
+       "1            7              0  \n",
+       "2            7              1  \n",
+       "3            7              0  \n",
+       "4            3              0  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dflog.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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wH7pYWFjgxx9/xOrVq9G2bVvY2tqisLAQbdq0werVq7FhwwbV0b3yRRmGYGlpiT179mDmzJlo2LAhLC0tIYRA27ZtsXz5ctUNdWRc+HuoREQ6CCFQv3593Lx5Exs2bMDQoUMre0hkxHiESkSkwzfffIObN2/CwsIC3bp1q+zhkJFjoBJRlfbWW28hJiZG7fds7969i3nz5uHdd98F8PTdxW5ubpU1RDIRPOVLRFWas7Oz6kfb7ezsYGlpqfYj7p07d8b27dtVj9gQ6cJAJaIKCwgIUHvUqDT+/PNP1KtXT08jKr0NGzZg586d+Ouvv3Dv3j1kZ2fD2dkZLVu2xJtvvomhQ4fC0tKysodJJoCBSkQV5unpWebXFV69ehWenp76GRBRJWCgEhERScCbkoiIiCRgoBIREUnAQCUiIpKAgUpERCSBRWUPgJ7+qHNOTg7q169f2UMhInqhXb9+Hfb29nr5gXYeoRqBnJwctZ/HIiIi/SgoKFD9HJ5sPEI1Asoj06SkpEoeCRHRi83Pz09v8+YRKhERkQQMVCIiIgkYqERERBIwUImIiCRgoBIREUnAQCUiIpKAgUpERCQBA5WIiEgCBioREZEEDFQiIiIJGKhEREQSMFCJiIgkYKASERFJwEAlIiKSgD/f9oJYcrTy+h4XWHl9ExEZCx6hEhERScBAJSIikoCBSkREJIHJBuqJEycwb948hIaGwt3dHQqFAgqFQuf0yvqSPsHBwWptfv/99xKnb9++vb4Xk4iITITJ3pQUFRWFbdu2lXr68PBwnXU7duzA/fv30blzZ6313t7e6NSpk9ZyIiIiwIQDNTAwEM2bN0dAQAACAgLg6emJ/Px8ndOvX79ea3lGRga+//57AMCQIUO0TtOpUyed7YmIiAATDtSIiAgp8/npp5+Qn5+P9u3bw9fXV8o8iYio6jHZa6iyfPvttwCAoUOHVvJIiIjIlJnsEaoM169fx6FDh2BpaYlBgwbpnO7SpUv4+OOP8eDBA9SoUQOdOnVCSEgIzMyq/N8jRET0H1U6UL/77jsIIdCzZ09Ur15d53RxcXGIi4tTK2vWrBliY2PLdJrYz89Pa3lycjJvcCIiMnFV+hDread7nZycMHnyZMTHx+PBgwd48OAB9u/fj/bt2+PMmTPo0aMHHj16ZMghExGRkVIIIURlD0IGGxsb5Ofno7SLc/LkSbRu3RrOzs64c+cOrK2tS91XUVERunbtikOHDuGTTz7Bxx9/XN5hA/jvkWtSUlK558F3+RIRPZ+M/a0uVfYIVXl0OnDgwDKFKQCYm5ur7jLevXu39LEREZHpqZKBWlRU9NxnT59Hee00NTVV2riIiMh0VclA3b9/P1JTU+Hh4aHz7UjPk56eDgCwt7eXOTQiIjJRVTJQlad7hwwZUuL7f0sSGxsLAPD395c2LiIiMl1VLlBzc3OxZcsWAM9/mcPixYtx48YNtTIhBFauXIlFixZBoVBgzJgxehsrERGZDpN9DnXHjh2IiopSfX/y5AkAqP0CTGRkJHr16qXWbuvWrcjOzkZAQAAaNWpUYh+LFy/GP//5T/j7+8PLywt5eXk4c+YMrl69CjMzM/z73/9G69atJS4VERGZKpMN1LS0NCQkJGiUP1uWlpamUf/s6d7n+eijj7Bnzx4kJSXh3LlzKCgogJubG4YMGYIPP/wQAQEBFVgCIiJ6kbwwz6GaMj6HSkRkGHwOlYiIyMgxUImIiCRgoBIREUnAQCUiIpKAgUpERCQBA5WIiEgCBioREZEEDFQiIiIJGKhEREQSMFCJiIgkYKASERFJwEAlIiKSgIFKREQkAQOViIhIAgYqERGRBAxUIiIiCRioREREEjBQiYiIJGCgEhERScBAJSIikoCBSkREJAEDlYiISAIGKhERkQQMVCIiIgkYqERERBIwUImIiCRgoBIREUnAQCUiIpKAgUpERCSByQbqiRMnMG/ePISGhsLd3R0KhQIKhULn9LNmzVJNo+0zdepUnW2PHDmC1157Da6urnBwcEDbtm2xYcMGfSwWERGZKIvKHkB5RUVFYdu2bWVu17FjR/j4+GiUt27dWuv0sbGxGDRoEIqLi9GlSxfUqFED+/fvR3h4OBITE7FgwYIyj4GIiF48JhuogYGBaN68OQICAhAQEABPT0/k5+c/t92oUaMwfPjwUvXx8OFDjBgxAkVFRYiNjUVoaCgA4O7du+jUqRMWLlyI119/HUFBQRVYEiIiehGYbKBGRETovY/Vq1cjMzMTffv2VYUpALz00kv47LPPEBoaioULFzJQiYjIdK+hGsKOHTsAAGFhYRp1vXr1go2NDfbt24e8vDxDD42IiIyMyR6hlteBAwdw6tQp5OXlwd3dHT179tR5/fT06dMAAH9/f406KysrNG3aFMePH8fFixfRvHlzvY6biIiMW5UL1G+++Ubte2RkJAYMGID169fDwcFBVZ6ZmYlHjx4BANzd3bXOy93dHcePH0dKSkqpAtXPz09reXJyMry9vUu7CEREZISqzClfHx8fLFiwAElJScjOzsaNGzfw3XffoW7duoiNjcXQoUPVps/Ozlb9fzs7O63ztLe3BwBkZWXpb+BERGQSqswR6pAhQ9S+29vbY/DgwejatSuaNWuGrVu3Ij4+Hu3bt9fbGJKSkrSW6zpyJSIi01FljlB1cXNzwzvvvAMA2LVrl6r82dO/ubm5Wtvm5OQAABwdHfU4QiIiMgVVPlABwNfXFwCQmpqqKqtWrRqcnJwAADdv3tTaTlnu4eGh5xESEZGxY6ACSE9PB/Dfa6JKLVq0AACcPHlSo01BQQHOnj0LGxsbNGzYUP+DJCIio1blA1UIgS1btgDQfDymV69eAICYmBiNdtu3b0deXh66desGGxsb/Q+UiIiMWpUI1LS0NCxdulTjbtzs7GyMGTMGCQkJqF27ttrbkICnrymsVq0atm3bhs2bN6vK7927hylTpgAAPvroI/0vABERGT2Tvct3x44diIqKUn1/8uQJAKjdpRsZGYlevXohJycHY8eOxdSpUxEQEAA3NzekpaXh5MmTePDgAZydnRETE6PxeIyrqyvWrl2LN954A2FhYQgKCkL16tWxb98+ZGRkYNKkSXztIBERATDhQE1LS0NCQoJG+bNlaWlpAIDq1asjIiIC8fHxuHjxIuLi4mBubg4vLy8MHz4cEydORN26dbX2M2DAABw8eBBz5sxBfHw8njx5gpdffhljx45FeHi4fhaOiIhMjkIIISp7EFWd8jlUXc+plsaSo7JGU3bjAiuvbyKispCxv9WlSlxDJSIi0jcGKhERkQQMVCIiIgkYqERERBIwUImIiCRgoBIREUnAQCUiIpKAgUpERCQBA5WIiEgCBioREZEEDFQiIiIJGKhEREQSMFCJiIgkYKASERFJwEAlIiKSgIFKREQkAQOViIhIAgYqERGRBAxUIiIiCRioREREEjBQiYiIJGCgEhERScBAJSIikoCBSkREJAEDlYiISAIGKhERkQQMVCIiIgkYqERERBKYbKCeOHEC8+bNQ2hoKNzd3aFQKKBQKLROW1xcjEOHDmHKlClo3bo1HB0dYW1tDW9vb4wePRpXr17V2u73339XzVfbp3379vpcRCIiMiEWlT2A8oqKisK2bdtKNe2VK1fQpUsXAEDt2rURHBwMc3NzHDt2DCtXrsTGjRvx66+/olOnTlrbe3t7a63z9vYu/wIQEdELxWQDNTAwEM2bN0dAQAACAgLg6emJ/Px8rdMqFAp0794dU6dORdeuXVVHsvn5+Rg9ejTWr1+Pt99+G5cvX4alpaVG+06dOmH9+vX6XBwiIjJxJhuoERERpZ7W29sbe/bs0Si3trbGsmXLsGXLFly/fh1xcXF45ZVXZA6TiIiqCJO9hiqLra0tGjZsCAC4fft2JY+GiIhMlckeocpSXFyMlJQUAE+vr2pz6dIlfPzxx3jw4AFq1KiBTp06ISQkBGZmVf7vESIi+o8qH6ibNm3CvXv3ULNmTXTo0EHrNHFxcYiLi1Mra9asGWJjY+Hr62uIYRIRkZGr0oF648YNTJgwAQAwe/ZsWFtbq9U7OTlh8uTJGDBggCo4T506hWnTpiE+Ph49evTAqVOn4OTkVKr+/Pz8tJYnJyfzjmEiIhNXZQM1JycHoaGhuH//Pvr164fRo0drTNOqVSu0atVKrSw4OBiHDx9G165dcejQISxbtgwff/yxoYZNRERGqkoGakFBAQYOHIjjx4+jU6dO2LhxY5nam5ubIyIiAocOHcLu3btLHahJSUlay3UduRIRkemocnfVFBcXIzw8HDt37kTLli3xyy+/wNbWtszzUZ4CTk1NlT1EIiIyQVUuUMeNG4dNmzahYcOG2L17N5ydncs1n/T0dACAvb29xNEREZGpqlKBOn36dCxbtgz169fH3r17UatWrXLPKzY2FgDg7+8va3hERGTCpAeqt7c35s2bhzt37siedYUsWrQIc+fORe3atbFv3z7Ur1//uW0WL16MGzduqJUJIbBy5UosWrQICoUCY8aM0deQiYjIhCiEEELmDM3NzVX/+/rrr+O9997Dq6++qvOXYMprx44diIqKUn0/duwYhBBo166dqiwyMhK9evXCqVOn4O/vDyEEAgMDVW9G+l+jRo1Sewm+p6cnbt68CX9/f3h5eSEvLw9nzpzB1atXYWZmhujoaIwdO7bCy6K8KUnXTUulseRohYdRbuMCK69vIqKykLG/1UX6Xb4pKSlYs2YN1q5di61bt2Lbtm1wd3fHyJEjMWLECLi7u0vpJy0tDQkJCRrlz5alpaUBADIyMqD8u+Ho0aM4elR7+gQFBakF6kcffYQ9e/YgKSkJ586dQ0FBAdzc3DBkyBB8+OGHCAgIkLIsRERk+qQfoSoJIbB7926sWrUK27dvR0FBAczNzRESEoJ3330Xr7/+Ol/d9x88QiUiMgx9HqHqLdEUCgVCQkIQGxuLGzduYN68efDy8sKOHTvQv39/1KtXD5GRkbh27Zq+hkBERGQwBjlErFWrFqZMmYLz589j4sSJEEIgNTUVc+fOhY+PD/r27YtTp04ZYihERER6YZBATUlJwYwZM+Dp6YnFixcDADp06IDp06fDx8cHv/zyC9q2bYstW7YYYjhERETS6S1QCwsLERsbi5CQEHh7e2POnDnIysrCmDFjkJiYiMOHD2P27Nm4cOECfvjhB5ibm2PGjBn6Gg4REZFeSb/L99KlS1i9ejW+/vprpKWlQQgBf39/jB49GoMHD4adnZ1Gm4EDB+LHH3/Ezz//LHs4REREBiE9UBs1agSFQgFbW1u88847GD16NNq0afPcdk5OTigoKJA9HCIiIoOQfsr35ZdfRnR0NG7fvo3Vq1eXKkwBYPXq1SguLpY9HCIiIoOQfoR69uxZ2bMkIiIyetKPUIuLi5GZmVni6duCggJkZmbyiJSIiF4Y0gN10aJFcHFxwR9//KFzmj/++AMuLi5YsmSJ7O6JiIgqhfRA3bJlC+rVq4du3brpnKZbt25wd3dX/QQaERGRqZMeqJcuXVK9K7EkTZs2xaVLl2R3T0REVCmkB+qjR4/g5OT03OmcnJyQnp4uu3siIqJKIT1Q3dzckJiY+NzpEhMTUatWLdndExERVQrpgRocHIzz58/jhx9+0DnNjz/+iHPnzqFr166yuyciIqoU0gN18uTJsLKywrBhwzB27FgkJiYiJycHOTk5SExMxNixYzF06FBYWVlh8uTJsrsnIiKqFNJf7NC4cWNs2LAB4eHhWL58OZYvX65WL4SAjY0N1q1bh6ZNm8runoiIqFLo5ddmBg4ciMTERLz//vvw8fGBtbU1rK2t4ePjgzFjxuD06dMYNGiQPromIiKqFNKPUJV8fHywbNkyfc2eiIjIqBjkB8aJiIhedHo7QgWe/sj4gwcPkJ+fr3Oa+vXr63MIREREBqGXQN23bx/mzJmD+Pj4El+Sr1AoUFhYqI8hEBERGZT0QN2+fTv69++PoqIiuLi4wMvLC46OjrK7ISIiMirSA/X//u//UFxcjEWLFmHs2LEwNzeX3QUREZHRkR6oSUlJCAwMxPjx42XPmoiIyGhJv8vXwcGBNxoREVGVIz1Qu3XrhuPHj8ueLRERkVGTHqjz589HZmYmIiIieAcvERFVGdKvoa5btw49e/bEggULEBsbi6CgILi7u8PMTDO7FQoFIiMjZQ+BiIjI4BRCCCFzhmZmZlAoFCjNbBUKBYqKisrVz4kTJ7B3714cO3YMx44dw61btwDguf2uX78ey5Ytw7lz52BlZYX27dtj+vTp6NChg842R44cwdy5cxEfH48nT57g5ZdfxtixYzFs2LByjf1/+fn5AXh6Q1d5LTkqZSjlMi6w8vomIioLGftbXfRyhGoIUVFR2LZtW5naTJgwAdHR0bC1tUWPHj2Ql5eHvXv3Ys+ePYiJiUG/fv002sTGxmLQoEEoLi5Gly5dUKNGDezfvx/h4eFITEzEggULJC0RERGZMulHqIYyf/585OTkICAgAAEBAfD09ER+fr7OI9R9+/ahe/fuqF69Oo4ePQpfX18AwNGjRxEUFAQ7OztcvXoVzs7OqjYPHz6El5cXMjMzERsbi9DQUADA3bt30alTJ1y+fBm//fYbgoKCKrQsPEIlIjIMfR6hmuzL8SMiIjB79mz07t0btWvXfu70X3zxBQBg+vTpqjAFgMDAQIwePRoZGRlYs2aNWpvVq1cjMzMTffv2VYUpALz00kv47LPPAAALFy6UsThERGTi9BaohYWF2LZtG6ZNm4b3338fa9euVdXdvn0biYmJBrsL+PHjxzhw4AAAICwsTKNeWfbLL7+ole/YsUNnm169esHGxgb79u1DXl6e7CETEZGJ0UugHj58GD4+PggNDcWnn36K1atX4/Dhw6r6o0ePolWrVvj555/10b2Gv//+G/n5+ahZsybc3d016v39/QEAiYmJauWnT59Wq3+WlZUVmjZtiry8PFy8eFEPoyYiIlMiPVDPnTuHkJAQpKamYty4cfjxxx81rmv27t0bdnZ2iI2Nld29VtevXwcArWEKAPb29nB2dkZ6ejqysrIAAJmZmXj06FGJ7ZTlKSkppRqHn5+f1k9ycnKZloeIiIyP9Lt8o6KikJeXh19//RU9evTQOo2VlRX8/f3x119/ye5eq+zsbACAnZ2dzmns7e2RkZGBrKwsODo6qtqU1M7e3h4AVCFMRERVl/RA/e2339C2bVudYapUt25d1SnVqkLXXWXKu86IiMh0ST/lm5GRgXr16j13upycnBJ/fFwmBwcHAEBubm6J4wGg+u1WZZuS2v1vGyIiqrqkB2qtWrVw+fLl5053/vz5UgWvDMpfv7l586bW+pycHGRkZMDFxUUVjtWqVYOTk1OJ7ZTlHh4esodMREQmRnqgBgcH49SpU/jtt990TrNlyxZcvnwZ3bt3l929Vo0aNYK1tTXS0tJUryh81smTJwEAzZs3Vytv0aKFWv2zCgoKcPbsWdjY2KBhw4Z6GDUREZkS6YE6depUWFlZoV+/fli+fDnu3LmjqktPT8fatWsxcuRI2NvbY9KkSbK718rW1hbBwcEAgJ9++kmjPiYmBsDTu4+f1atXL7X6Z23fvh15eXno1q0bbGxsZA+ZiIhMjF5ePbh161YMHTpU57VHGxsbbNq0CX369JHWp42NTblfPdi1a1fY2tqW+tWD9+7dQ8eOHfnqwf/gqweJyFSY3KsH+/Xrh7Nnz2LcuHFo3LgxbGxsYGVlhQYNGuD9999HYmJihcN0x44daN++verz5MkTAFArU77pCHj6w+fjx4/HgwcP0LJlS/Tr1w+vvfYaunTpgsLCQqxbt04tTAHA1dUVa9euhZmZGcLCwhAcHIyBAweiUaNGuHz5MiZNmlThMCUioheD9MdmlDw8PLB48WJ9zR5paWlISEjQKH+2LC0tTa1u8eLFaNmyJb788kvs3bsXVlZW6NatGyIjI3X+fNuAAQNw8OBBzJkzR+Pn28LDw+UuFBERmSyT/bWZFwlP+RIRGYbJnfIlIiKqaqSf8jU3Ny/1tAqFwmC/OENERKRP0gO1Xr16UCgUGuXFxcW4c+eO6u1IfBkCERG9SKQH6rVr13TWFRcX48CBAxg/fjyaNWuGTZs2ye6eiIioUhj0GqqZmRm6deuG7du3Y8eOHZg/f74huyciItKbSrkpycvLC+3bt8fatWsro3siIiLpKu0uXzs7O9y4caOyuiciIpKqUgI1JSUFBw8exEsvvVQZ3RMREUkn/aakDRs26KzLzs7GxYsX8e233yIzMxMffPCB7O6JiIgqhfRAHT58uNbHZpSUL2YaNmwY/u///k9290RERJVCeqDOmDFDZ6BaWVnBzc0NXbp0QYMGDWR3TUREBlKZrzsFjPOVp9IDddasWbJnSUREZPT4Ll8iIiIJGKhEREQSSD/lW5FrowqFAsnJyRJHQ0REZBgGfZcvERHRi0r6Kd/i4mKMHTsWDg4OiIiIwKlTp5CRkYGMjAycPn0aU6dOhaOjI8aOHYvi4mKNDxERkSmSfoT673//GytXrsSRI0fQpk0btbpmzZqhWbNmCA0NRYcOHdCgQQNMmDBB9hCIiIgMTvoR6sqVKxEUFKQRps9q06YNgoODsWrVKtndExERVQrpgXrlyhW4uro+dzoXFxdcvXpVdvdERESVQnqgurq64uDBg8jLy9M5TV5eHg4ePAgXFxfZ3RMREVUK6YHav39/pKamIiwsTOsdv9euXcPAgQNx584d9O/fX3b3RERElUL6TUlRUVE4cOAAfv31V/j6+qJNmzbw8PAA8PRn206cOIHCwkI0btwYUVFRsrsnIiKqFNID1cXFBXFxcfj444+xYcMGJCQkICEhQVVva2uLESNG4NNPP+UpXyIiemFID1QAcHZ2xvLly7Fw4UKcOHECt2/fBgC4ubmhdevWsLe310e3RERElUYvgapkZ2eHzp0767MLIiIio6DXQH348CFOnDiB+/fvw8PDAx06dNBnd0RERJVGL782k5aWhsGDB6N27doICQnBkCFDsHr1alX96tWr4erqisOHD+ujeyIiIoOTHqgPHz5Ehw4d8P3336Np06b44IMPIIRQmyY0NBRZWVmIiYmR3b1Ov//+OxQKxXM/s2fPVrWZNWtWidNOnTrVYOMnIiLjJv2U79y5c5GcnIwZM2Zg1qxZAIClS5eqTePq6ormzZvjjz/+kN29TrVr10Z4eLjWuqKiInz77bcAoPWab8eOHeHj46NR3rp1a7mDJCIikyU9ULdu3YqGDRuqwlQXb29v/P7777K716lx48ZYv3691rqdO3fi22+/Rb169RAUFKRRP2rUKAwfPlyv4yMiItMm/ZTvrVu30KJFi+dOp1AokJmZKbv7clEenb799ttQKBSVPBoiIjJF0gO1WrVqSE1Nfe50ycnJqFmzpuzuyywnJwfbtm0DAAwdOrSSR0NERKZK+infgIAAHDhwAFevXoWXl5fWaU6fPo1Tp04hLCxMdvdltnnzZuTk5KBVq1Z4+eWXtU5z4MABnDp1Cnl5eXB3d0fPnj15/ZSIiNRID9Rx48Zh586d6N+/PzZt2oQmTZqo1V++fBlDhw6FEAJjx46V3X2ZKU/3lnR0+s0336h9j4yMxIABA7B+/Xo4ODjodXxERGQapAdqSEgIpkyZgs8++wxNmzaFr68vFAoFdu/ejRYtWuDcuXMoKirCtGnT0KlTJ9ndl0lqair2798Pc3NzvPXWWxr1Pj4+WLBgAXr27AkPDw+kp6fj4MGDmDJlCmJjY1FUVIQtW7aUuj8/Pz+t5cnJyfD29i73chARUeXTy5uS5s2bh9atW2Pu3LlITEwE8DS8UlNT0bhxY0RGRmoNMEPbtGkTioqKEBISgtq1a2vUDxkyRO27vb09Bg8ejK5du6JZs2bYunUr4uPj0b59e0MNmYiIjJT0QM3MzIRCocDAgQMxcOBApKWl4dq1ayguLoa7uzvq1q0ru8tyK83pXm3c3NzwzjvvYMGCBdi1a1epAzUpKUlrua4jVyIiMh3SA9XZ2Rnt2rXD0aNHAQA1a9Y0irt5/9f58+fx119/wcHBAf369Stze19fXwAo1R3NRET04pP+2IyTkxMaNGgge7bSKW80Cg0NhZ2dXZnbp6enAwB/io6IiADoIVBbtWqF5ORk2bOVSgiBjRs3Aijfs6dCCNXNSP7+/lLHRkREpkl6oEZERODPP/806Ivvy+rQoUNISUlB3bp1ERwcrHWatLQ0LF26FFlZWWrl2dnZGDNmDBISElC7dm2EhoYaYshERGTkpF9DtbW1xahRozBo0CC8/vrr6N27N+rXrw8bGxut03fp0kX2EJ5LeTPS4MGDYWam/W+KnJwcjB07FlOnTkVAQADc3NyQlpaGkydP4sGDB3B2dkZMTEy5ThcTEdGLR3qgBgUFQaFQQAiBX375Bdu3by9x+qKiItlDKFF+fr7q6Pl/H4t5VvXq1REREYH4+HhcvHgRcXFxMDc3h5eXF4YPH46JEyca1R3LRERUuaQH6rBhw4z6BfPW1tZ4+PDhc6dzdHTEvHnzDDAiIiJ6EUgPVF0/kUZERPQiq/BNScHBwfjss8+01l2/fr1UR4NERESmrsKB+vvvv+PChQta67y8vDB58uSKdkFERGT0pD828ywhBIQQ+uyCiIjIKOg1UImIiKoKBioREZEEDFQiIiIJGKhEREQSSAnUr7/+Gubm5hofhUKhs87c3BwWFnr5fXMiIiKDk5Jo5b2Tl3cAExHRi6LCgVpcXCxjHERERCaN11CJiIgkYKASERFJwEAlIiKSgIFKREQkAQOViIhIAgYqERGRBAxUIiIiCRioREREEjBQiYiIJGCgEhERScBAJSIikoCBSkREJAEDlYiISAIGKhERkQQMVCIiIgkYqERERBIwUImIiCRgoBIREUlQpQI1KCgICoVC52fXrl1a261fvx5t27aFg4MDXF1d8dprryEuLs7AoyciImNmUdkDqAwDBgyAg4ODRnndunU1yiZMmIDo6GjY2tqiR48eyMvLw969e7Fnzx7ExMSgX79+BhgxEREZuyoZqAsWLICnp+dzp9u3bx+io6NRvXp1HD16FL6+vgCAo0ePIigoCO+88w6CgoLg7Oys3wETEZHRq1KnfMvqiy++AABMnz5dFaYAEBgYiNGjRyMjIwNr1qyprOEREZERYaDq8PjxYxw4cAAAEBYWplGvLPvll18MOi4iIjJOVfKU75o1a/DgwQOYmZmhYcOG6NevH+rXr682zd9//438/HzUrFkT7u7uGvPw9/cHACQmJhpkzEREZNyqZKDOmTNH7fs///lPREZGIjIyUlV2/fp1ANAapgBgb28PZ2dnpKenIysrC46Ojs/t18/PT2t5cnIyvL29Szt8IiIyQlXqlG+XLl3wzTffIDk5Gbm5ufj7778xd+5cWFhYYMaMGYiOjlZNm52dDQCws7PTOT97e3sAQFZWln4HTkRERq9KHaHOnj1b7XvDhg3xr3/9C23atMGrr76KWbNm4b333oOtra1e+k9KStJaruvIlYiITEeVOkLVpUePHmjTpg0yMjKQkJAAAKrnVHNzc3W2y8nJAYBSne4lIqIXGwP1P5SPxaSmpgKA6ialmzdvap0+JycHGRkZcHFxYaASEREDVSk9PR3Af6+LNmrUCNbW1khLS8OtW7c0pj958iQAoHnz5oYbJBERGS0GKoC0tDQcOnQIwH8fh7G1tUVwcDAA4KefftJoExMTAwDo3bu3gUZJRETGrMoEalxcHLZu3YqioiK18mvXrqF///7IyclBnz591B6TmTRpEoCnj9lcunRJVX706FGsXLkSzs7OGDlypGEWgIiIjFqVucv34sWLeOedd1C7dm34+/vD2dkZKSkpOHHiBPLy8uDn54dVq1aptenWrRvGjx+P6OhotGzZEt27d8eTJ0+wd+9eCCGwbt06vseXiIgAVKFAbdeuHcaMGYOEhAT8+eefSE9Ph729PVq2bImBAwdizJgxWh+XWbx4MVq2bIkvv/wSe/fuhZWVFbp164bIyEh06NChEpaEiIiMUZUJ1CZNmmDZsmXlajt8+HAMHz5c7oCIiOiFUmWuoRIREekTA5WIiEgCBioREZEEDFQiIiIJGKhEREQSMFCJiIgkYKASERFJwEAlIiKSgIFKREQkAQOViIhIAgYqERGRBAxUIiIiCRioREREEjBQiYiIJGCgEhERScBAJSIikoCBSkREJAEDlYiISAIGKhERkQQMVCIiIgkYqERERBIwUImIiCRgoBIREUnAQCUiIpKAgUpERCQBA5WIiEgCBioREZEEDFQiIiIJqkyg5ubmYuvWrRg5ciQaNWoEGxsb2Nvbo0WLFpg9ezays7M12syaNQsKhULnZ+rUqZWwJEREZIwsKnsAhrJx40a8++67AIAmTZqgT58+yMzMRFxcHGbOnIlNmzbhjz/+QK1atTTaduzYET4+PhrlrVu31vu4iYjINFSZQLW0tMR7772HCRMmoEmTJqry1NRU9OrVC3/99RcmTJiAjRs3arQdNWoUhg8fbsDREhGRqakyp3zDw8OxcuVKtTAFADc3NyxduhQAsHnzZjx58qQyhkdERCauygRqSVq0aAEAyM/Px4MHDyp5NEREZIqqzCnfkly5cgXA09PCrq6uGvUHDhzAqVOnkJeXB3d3d/Ts2ZPXT4mISA0DFUB0dDQAICQkBNbW1hr133zzjdr3yMhIDBgwAOvXr4eDg4NBxkhERMatygfqr7/+ijVr1sDS0hJRUVFqdT4+PliwYAF69uwJDw8PpKen4+DBg5gyZQpiY2NRVFSELVu2lLovPz8/reXJycnw9vau0HIQEVHlqtKBeuHCBQwZMgRCCHz++eeqa6lKQ4YMUftub2+PwYMHo2vXrmjWrBm2bt2K+Ph4tG/f3pDDJiIiI1RlA/XWrVsICQlBeno6Jk2ahPHjx5e6rZubG9555x0sWLAAu3btKnWgJiUlaS3XdeRKRESmo0re5fvw4UP06NEDKSkpqmAsK19fXwBPn2MlIiKqcoGanZ2Nnj174ty5cwgNDcWqVaugUCjKPJ/09HQAT08DExERValAzc/PR9++fXHs2DG8+uqr2LRpE8zNzcs8HyGE6mYkf39/2cMkIiITVGUCtaioCG+99RYOHDiAzp07Y/PmzbCystI5fVpaGpYuXYqsrCy18uzsbIwZMwYJCQmoXbs2QkND9T10IiIyAVXmpqQvv/xSdVRZo0YNfPDBB1qnW7BgAWrUqIGcnByMHTsWU6dORUBAANzc3JCWloaTJ0/iwYMHcHZ2RkxMDOzs7Ay5GEREZKSqTKAqr3kCKPHZ0VmzZqFGjRqoXr06IiIiEB8fj4sXLyIuLg7m5ubw8vLC8OHDMXHiRNStW9cQQyciIhNQZQJ11qxZmDVrVqmnd3R0xLx58/Q3ICIieqFUmWuoRERE+sRAJSIikoCBSkREJAEDlYiISAIGKhERkQQMVCIiIgkYqERERBIwUImIiCRgoBIREUnAQCUiIpKAgUpERCQBA5WIiEgCBioREZEEDFQiIiIJGKhEREQSMFCJiIgkYKASERFJwEAlIiKSgIFKREQkAQOViIhIAgYqERGRBAxUIiIiCRioREREEjBQiYiIJGCgEhERScBAJSIikoCBSkREJAEDlYiISAIGKhERkQQM1FJ4/PgxZsyYgYYNG8LGxgZ16tTBiBEjcOvWrcoeGhERGQkG6nPk5eUhODgYUVFRyM7ORt++fVGvXj2sW7cOrVq1wpUrVyp7iEREZAQYqM8xZ84cxMfHIzAwEBcvXsQPP/yAhIQELFy4EGlpaRgxYkRlD5GIiIwAA7UET548wZdffgkAWLp0KRwcHFR1kyZNQvPmzfHHH3/gxIkTlTVEIiIyEgzUEhw5cgSPHj2Ct7c3WrVqpVEfFhYGAPjll18MPTQiIjIyDNQSnD59GgDg7++vtV5ZnpiYaLAxERGRcbKo7AEYs+vXrwMA3N3dtdYry1NSUko1Pz8/P63lFy5cgKWlpc760nj4uNxNK2yFbeX1TUSVozL3OUD59zvJycmwtLSUO5j/YKCWIDs7GwBgZ2entd7e3h4AkJWVVaF+FApFhf6Bk5OTAQDe3t4VGkdVxHVXflx35fcirDvXSvxDOjk5Geko3/qztLRU7btlY6AaUFJSkl7mqzyy1df8X2Rcd+XHdVd+XHcVY6zrj9dQS6C8qzc3N1drfU5ODgDA0dHRYGMiIiLjxEAtQf369QEAN2/e1FqvLPfw8DDYmIiIyDgxUEvQokULAMDJkye11ivLmzdvbrAxERGRcWKglqBjx45wcnJCcnIyTp06pVEfExMDAOjdu7eBR0ZERMaGgVoCKysrjB07FgDwj3/8Q3XNFAC++OILJCYm4pVXXkHr1q0ra4hERGQkFEIIUdmDMGZ5eXkICgpCQkIC3Nzc0LlzZ6SkpCAhIQE1a9ZEfHw8GjRoUNnDJCKiSsZALYXHjx/j008/xcaNG3Hjxg24uroiJCQEUVFROl/6QEREVQsDlYiISAJeQyUiIpKAgUpERCQBA5WIiEgCBioREZEEDFQiIiIJGKhEREQSMFAryePHjzFjxgw0bNgQNjY2qFOnDkaMGIFbt26VeV7p6ekYP348PDw8YG1tDQ8PD0yYMAEZGRk62xQVFWHRokVo1qwZbG1tUbNmTbzxxhs4f/58BZbKMGSsu4yMDGzcuBFvvfUWvLy8YGVlBUdHR7Rr1w7R0dEoKCjQ2m748OFQKBQ6PytWrJC1mHoha7vz9PQscT1cuHBBa7uqvt2tX7++xPWm/GzYsEGtnalvdydOnMC8efMQGhoKd3d31bjLy1j3eXwOtRLk5eWha9euiI+PV7196dq1azh27FiZ3750//59BAYG4vLly2jQoAHatGmDpKQkJCUloWHDhjh69ChcXV3V2hQXFyMsLAxbtmyBs7Mz/t//+3+4f/8+Dh48CFtbW/z2229o27atPha9wmStu+nTp2Pu3LlQKBRo2bIlGjZsiLS0NBw5cgT5+fno1KkTdu/erfHj8sOHD8fXX3+NV199FbVr19aYb3h4OLp27SpteWWSud15enoiJSUF4eHhWus//fRTuLm5qZVxuwMOHz6M1atXa6179OgRtm7dCuDpD2g/Oz9T3u4AoF+/fti2bZtGeXnix6j3eYIMbtq0aQKACAwMFFlZWaryhQsXCgDilVdeKfW83n77bQFAhIaGioKCAlX5uHHjBAARHh6u0WbVqlUCgPD19RV37txRlcfExAgAwsfHR21exkTWuvvkk0/ElClTREpKilr5xYsXRf369QUA8fHHH2u0Cw8PFwDEb7/9VpHFqBQytzsPDw9R1t0Ht7uSLVu2TAAQHTt21Kgz5e1OCCHmzZsnIiMjxc8//yxSU1OFtbV1mbcfJWPe5zFQDSw/P184OTkJAOLkyZMa9c2bNxcAxPHjx587r9u3bwszMzNhZWWltpEIIUReXp6oWbOmMDc3F3fv3lWra9KkiQAgtmzZojHPPn36CAAiJiambAtmADLXXUk2btwoAAhPT0+NOlPdscled+UJVG53JevQoYMAIFasWKFRZ6rbnS7lDVRj3+fxGqqBHTlyBI8ePYK3tzdatWqlUR8WFgYA+OWXX547r127dqG4uBidO3fGSy+9pFZnbW2N3r17o6ioCL/++quq/OrVqzh//jxsbW3Rq1evCvVvaDLXXUmUv4N7+/btCs3HmBhq3enC7a5kV69eRVxcHKysrPDGG2+Uez4vOmPf51lUeA5UJqdPnwYA+Pv7a61XlicmJkqZ19q1a9XmpWzTtGlTWFpaVqh/Q5O57kpy5coVANB6rUpp8+bNiI2NRVFREby8vNC7d280bty4Qv3qk77W3eeff47k5GRYW1vDz88P/fv3R82aNXX2z+1Ou2+//RYA0KtXL7i4uOicztS2O9mMfZ/HQDWw69evA4DOX6lRlqekpOhlXjL7NzRDjT06OhoA0LdvX53TLFmyRO17REQExowZg+joaFhYGN9/Vvpad1OmTFH7PnHiRCxZsgQjRowwSP+GYIixKwN16NChJU5natudbMa+z+MpXwPLzs4GAI27R5Xs7e0BAFlZWXqZl8z+Dc0QY1+xYgX27dsHZ2dnTJ06VaO+VatWWLFiBS5evIjc3FxcuXIFS5cuhbOzM5YtW4bJkyeXu299kr3u+vTpg82bNyMlJQW5ubk4e/YsJk2ahPz8fIwaNUrjjk5ud7odO3YMFy9ehKurq9ZTkoDpbneyGfs+j4FK9B+HDh3C+PHjoVAosHbtWtSpU0djmvHjx+P999+Hr68vbG1t4eXlhQ8++ACHDh2ClZUVvvzyS9y4caMSRm9Y//73v9G/f3/Ur18ftra28PPzw8KFC7F8+XIIIRAREVHZQzQZyqPTN954A1ZWVlqn4XZnGhioBubg4AAAyM3N1Vqfk5MDAHB0dNTLvGT2b2j6HPvZs2fRt29fPHnyBNHR0ejfv3+Z2vv5+aFPnz4oLCzE/v37y9y/vhnq333kyJGoVasW/v77b1y7ds3g/euDPsdeWFiIH374AcDzT/dqY+zbnWzGvs9joBpY/fr1AQA3b97UWq8s9/Dw0Mu8ZPZvaPoa+9WrV9GjRw+kp6dj1qxZGDduXLnG5+vrCwBITU0tV3t9MtS/u5mZGby9vQGorwdud9rt2bMH9+7dQ4MGDdChQ4dyjc+YtzvZjH2fx0A1MOUjGSdPntRaryxv3ry5XualbHP27Fmtr9crS/+GJnPdKaWmpqJ79+5ITU3F+PHjMXPmzHKPLz09HcB/r8kYE32sO120rQdud9opT/cOGTKknKMz7u1ONqPf51X4SVYqk2cfEv/rr7806sv7Yof/fZDZGB5ylk3muhNCiIcPH4pmzZoJAOKdd94RxcXF5R5bXl6eqFevngAgDh06VO756IvsdafL2bNnhUKhEHZ2diI/P1+tjtuduqysLGFnZycAiIsXL5ZrbMa+3eki48UOxrjPY6BWAuVrzDp06CCys7NV5bpeY7ZkyRLRqFEjMXXqVI15KV/DNWDAALVXZ3344Yeleg3XsxtebGysybwCrqLrLicnRwQGBgoA4o033hCFhYXP7fv8+fNiw4YNIi8vT6383r17ol+/fgKAaNGiRYWCWZ9krbsdO3aI/fv3a8z/9OnTqh3Xhx9+qFHP7U7d119/LQCI9u3bl9i3qW932jwvUE11n8dArQSPHz8W7dq1EwCEm5ubeOONN1Tfa9asKZKTk9Wmnzlzps4NJS0tTXh7ewsAwtvbWwwaNEg0bdpUtfE8ePBAo01RUZHo37+/ACBcXFxEWFiYCAoKEgqFQtja2or4+Hh9LXqFyVp3EyZMEACEubm5GDx4sAgPD9f6edZvv/2mWmfdu3cXgwcPFkFBQcLR0VEAEO7u7uLvv//W8xooP1nrTlnu4eEh+vTpI958803Rtm1bYWFhIQCIoKAgkZubq9E/tzt13bt3FwDE0qVLS+zb1Lc7IYTYvn27aNeuneqjUCgEALWy7du3q6Y31X0eA7WS5ObmisjISOHt7S2srKxE7dq1xfDhw8WNGzc0pn3ef5wPHjwQ48aNE/Xq1RNWVlaiXr164sMPPxTp6ek6+y8sLBQLFy4Ufn5+wsbGRlSvXl2EhYWJpKQkSUuoPzLWnfLdqM/7POvWrVtiwoQJon379qJ27drC0tJSODg4CH9/fzFz5kzx8OFDfS62FDLWXVxcnBgxYoRo1qyZqF69urCwsBCurq4iKChIrFq1qsSj/aq+3Sndvn1bmJubC0tLS3H//v0S+30Rtrt169Y997+1devWqaY31X0ef76NiIhIAt7lS0REJAEDlYiISAIGKhERkQQMVCIiIgkYqERERBIwUImIiCRgoBIREUnAQCUiIpKAgUpERCQBA5WIiEgCBioREZEEDFQiIiIJGKhEREQSMFCJiIgkYKASERFJwEAlIiKSgIFKREQkwf8HYfKLwqY+b1oAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for col in list(dflog.columns):\n",
+    "    dflog[col].plot(kind = 'hist', title = col)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Without completing a full EDA, we can see that some variables take on values that denote classes or categories (such as sex_M_F, fasting_blood_sugar_high), and thus are categorical, and some take on values that are a measure (such as age, blood pressure, cholesterol) and therefore are non-categorical.  Depending upon the models you choose to apply to these data, some additional preparation might be in order, such as ensuring the non-categorical values are all in sensible ranges (such as, what is a feasbile maximum value for cholesterol?), possibly scaling some of the variables, and generally ensuring you understand the data and they are suitable for a given model, to mention only a few.  Here, we will need to transform the categorical values to use them in a logistic regression model, which we will come to shortly."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Before moving on to modeling, let's look at some of the features of the dataset.\n",
+    "\n",
+    "> **Note**  \n",
+    "Moving forward, we might use the terms \"variable\" and \"feature\" interchageably, to represent the concept of the independent or $\\textbf{X}$ data. In general, there might be nuanced differences in these concepts, such as variable referring to the orignal data and feature referring to a transformed version of it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "first 6 lines of age data:\n",
+      " 0    70\n",
+      "1    67\n",
+      "2    57\n",
+      "3    64\n",
+      "4    74\n",
+      "5    65\n",
+      "Name: age_yr, dtype: int64\n",
+      "\n",
+      "summary statistics of age:\n",
+      " count    270.000000\n",
+      "mean      54.433333\n",
+      "std        9.109067\n",
+      "min       29.000000\n",
+      "25%       48.000000\n",
+      "50%       55.000000\n",
+      "75%       61.000000\n",
+      "max       77.000000\n",
+      "Name: age_yr, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "#\n",
+    "# extract the age as a Series, and inspect the values\n",
+    "#\n",
+    "x = dflog['age_yr']\n",
+    "print('first 6 lines of age data:\\n', x.head(6))\n",
+    "print('\\nsummary statistics of age:\\n', x.describe())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "jupyter": {
+     "outputs_hidden": true
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "first six lines of blood pressure data:\n",
+      " 0    130\n",
+      "1    115\n",
+      "2    124\n",
+      "3    128\n",
+      "4    120\n",
+      "5    120\n",
+      "Name: resting_BP_mm_Hg, dtype: int64\n",
+      "\n",
+      "summary statistics of blood pressure:\n",
+      " count    270.000000\n",
+      "mean     131.344444\n",
+      "std       17.861608\n",
+      "min       94.000000\n",
+      "25%      120.000000\n",
+      "50%      130.000000\n",
+      "75%      140.000000\n",
+      "max      200.000000\n",
+      "Name: resting_BP_mm_Hg, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "#\n",
+    "# do the same for the resting blood pressure\n",
+    "#\n",
+    "y = dflog['resting_BP_mm_Hg']\n",
+    "print('first six lines of blood pressure data:\\n', y.head(6))\n",
+    "print('\\nsummary statistics of blood pressure:\\n', y.describe())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Transformation of categorical features"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In general, categorical features need to be transformed or *encoded* to be used in some machine learning models, as is the case for Logistic Regression. A common transformation is so-called *dummy encoding*, where each possible value of a feature becomes a new column, and a 1 is placed in that column if the data instance (a row of the data) contained that value, and a 0 is placed in that column otherwise.  \n",
+    "\n",
+    "For example, suppose we had a column in a hypothetical data set called species, and it contained one of two values, \"cat\" or \"dog\". The column might look like this:\n",
+    "```\n",
+    "species\n",
+    "cat\n",
+    "cat\n",
+    "dog\n",
+    "dog\n",
+    "cat\n",
+    "dog\n",
+    "...\n",
+    "```\n",
+    "\n",
+    "Dummy encoding would replace this with two columns:\n",
+    "```\n",
+    "species_cat   species_dog\n",
+    "    1              0\n",
+    "    1              0\n",
+    "    0              1\n",
+    "    0              1\n",
+    "    1              0\n",
+    "    0              1\n",
+    "   ...            ...\n",
+    "```\n",
+    "This method extends to as many unique values there are in a given feature. Here we use the Pandas method get_dummies() (*) to transform a subset of columns. Note how we can specify which columns we want to be transformed, so we make a list of them first. If the columns are not specified, Pandas will decide which columns are categorical based on the Pandas type, and convert those. This can be convenient but is not always what is desired. For clarity, we explicitly define them here.\n",
+    "\n",
+    "---\n",
+    " (*) [pandas.get_dummies()](https://pandas.pydata.org/docs/reference/api/pandas.get_dummies.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The data have  270  rows and  24  columns\n",
+      "\n",
+      "column names: \n",
+      "\n",
+      "age_yr\n",
+      "resting_BP_mm_Hg\n",
+      "cholesterol_mg_dl\n",
+      "fasting_blood_sugar_high\n",
+      "max_HR\n",
+      "exercise_angina\n",
+      "ST_depresssion_exercise\n",
+      "number_vessels_involved\n",
+      "heart_disease\n",
+      "sex_M_F_0\n",
+      "sex_M_F_1\n",
+      "chest_pain_value_1\n",
+      "chest_pain_value_2\n",
+      "chest_pain_value_3\n",
+      "chest_pain_value_4\n",
+      "ECG_value_0\n",
+      "ECG_value_1\n",
+      "ECG_value_2\n",
+      "ST_slope_peak_1\n",
+      "ST_slope_peak_2\n",
+      "ST_slope_peak_3\n",
+      "defect_diag_3\n",
+      "defect_diag_6\n",
+      "defect_diag_7\n"
+     ]
+    }
+   ],
+   "source": [
+    "categorical_features = ['sex_M_F',\n",
+    "                        'chest_pain_value',\n",
+    "                        'ECG_value',\n",
+    "                        'ST_slope_peak',\n",
+    "                        'defect_diag']\n",
+    "dflog = pd.get_dummies(dflog, columns = categorical_features)\n",
+    "print('The data have ', dflog.shape[0], ' rows and ', dflog.shape[1], ' columns\\n')\n",
+    "print('column names: \\n')\n",
+    "print('\\n'.join(list(dflog.columns)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Proportion of classes\n",
+    "When building classification models, it is always a good idea to know right away the number of samples per class, proportionally to the total number of samples. First we get the counts of each class."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    150\n",
+       "1    120\n",
+       "Name: heart_disease, dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "class_counts = dflog['heart_disease'].value_counts()\n",
+    "class_counts"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Notice that class_counts is a Pandas Series object:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "pandas.core.series.Series"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(class_counts)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can easily compute the relative frequencies (percentages) to better quantify differences in the incidences of the classes:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    55.555556\n",
+       "1    44.444444\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "class_percentages = pd.Series([(x / dflog.shape[0]) * 100.00 for x in class_counts])\n",
+    "class_percentages"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we can use the percentages as labels and plot the distribution of the two classes:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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Qr149rforV64UaZn1fb3KQn5jV5c//Z4wNTUFAJ2/MuXm5hZ4OWFRVa1aFZcvX8aVK1d0fvnW91cp0g+/FlUg7u7uqFu3Ls6cOYMLFy7o1ScpKUnpq6suNja2WGNRf6joup68NNy9exdffPEFABR7j06lUqFjx44ICwsDAOVa8zZt2sDY2Bjr16/X+65nBa3HXbt24c6dO3pNx9XVVbns7NSpU0p5+/btATwJ1pIKCQmBsbExtmzZovx0XxxJSUmwtbXVCngAeoddfq+BLpUqVcIbb7yBxo0bIysrS+N4f35atWqV73jOnTun90/1+cnv9Xre2z+ge5lycnKwYsUKANA4Hq++FFPX58KOHTt0bufFXQb1Ol+6dKlWXWJiIrZs2aKcH0Qlx5CvYMaNG4e8vDz06NFD5wfY/fv3NY4z16pVC0ZGRti+fbvGh2ZGRgaGDBlS7ONg6r2I8+fPF6t/fkQEGzduRNOmTXHr1i20bdsWgwcPLrTfsWPHsHLlSuWEQrUHDx7gwIEDAP63h1utWjUMHDgQCQkJ6NOnj86A/ueff5QPU+DJMWQA+Pnnn5GamqqU37hxA0OGDNE5ph9//BGXL1/WKt+4caPGeIAnP11bWFhgzJgxWLlypVafzMxMLF++HNevX9e9Ap5StWpVvPXWW8jIyEB0dLTWDZLu3r2rrJOCeHt7IykpCb///rtG+YwZM7Bjxw6t9kV5DXbs2IFt27Zp/Yx8+fJlnD17FiqVqtD7IgBQ1v3MmTNx4sQJpTw1NRXDhw/P9zCULkV5vZ7X9v+0v/76CwsXLtQoGz9+PK5evQo/Pz8lbAEo90/4+eefNc69uXz5ssbdIp9W3GUYNmwYjIyMMHv2bBw+fFgpz8rKwvDhw5Geno6IiAiN9UUlUE5n9VMJoATXyYuIfPrppwJAjIyMJDAwUHr27CmRkZHSoEEDMTY2Fjs7O43277zzjgAQCwsLCQsLk8jISHFzcxNnZ2fp37+/zktvdF1y8yw/Pz/lWuf+/fvL22+/LWvWrCl0+dXL5uXlJdHR0RIdHS19+vSR1157TZydnZX18+abb8qjR4/y7f/0pUerVq0SAGJnZyft2rWTfv36SVhYmNjY2AgACQ8P15hGWlqatG/fXgCIlZWVBAUFSZ8+faRLly7Ktfldu3ZV2mdmZoqvr68AkMqVK0uPHj0kLCxMLC0tpUWLFtKiRQsBoHHduPpyRx8fH+nRo4f06tVLKTM3N5e//vpLY0yrV68WS0tLASC1atWS8PBw6d27t7Rq1UqsrKwEgBw7dqzQ9Svy5Hp/9ZisrKzk9ddfl169ekmzZs3E1NRURowYobTN7xK6n3/+WXktWrVqJX369BEfHx8xMjKSDz/8UGv7LMprMGPGDAEgLi4u0rFjR+nXr5+89tprYmZmJgBk+PDhei2niMiYMWMEgJiYmEiHDh0kKipK3NzcpEaNGhIeHq73JXRFfb0K2v71uSyxsEvo3nvvPVGpVNKkSRPp06ePsv3Z2tpq3BNATX1pm52dnYSHh0u7du3EyspKevbsme/7ubD3MPK5tO1f//qXAJBKlSpJaGio9O7dW6pXry4ApHbt2lr3kyjOJX70BNfKS6ikIS8isnPnTunZs6dUrVpVTExMxMnJSfz8/OT999+XnTt3arTNycmR6dOni4+Pj5ibm4ubm5v069dPEhIS8n3z6fOmi4+Pl27duomTk5MYGRnp/MAqaNme/rOwsJAqVapI69atJSYmRucNeJ7t//S8bt26JZMnT5a2bduKu7u7mJqaipubmwQFBcnChQslKytLazo5OTmyZMkSadu2rTg6OoqJiYlUrVpVmjdvLhMmTJDz589rtH/w4IG899574unpKWZmZlKzZk0ZO3aspKamSnBwsFbIr127VgYOHCi+vr5ib28vlpaW4u3tLYMGDZJz587pXLZ//vlHhg4dKrVr1xZzc3OxsbGROnXqSO/evWXZsmV63wxH5MkXk1mzZkmTJk3E2tpaLCwsxMvLSwYMGCBHjhxR2hUUSBs2bJBmzZqJjY2N2NvbS2hoqMTFxem8xroor0F8fLx8/vnnEhQUJFWqVBFTU1OpVq2atGvXTlasWKF1A57CzJ8/X/z8/MTMzExcXV3ljTfekBs3biiBqU/IF/X1Kmj7L42Q37Fjh6xbt06aN28ulpaWYmdnJ127dpXTp0/rnF5mZqZ8/PHHUr16deUmV5MnT5acnJx838+FvYfzC3kRkfXr10u7du3Ezs5OTE1NpVatWhITEyMPHjzQasuQLz6VSBF+jyIiIqKXBo/JExERGSiGPBERkYFiyBMRERkohjwREZGBYsgTEREZKIY8ERGRgWLIF0KlUuX7tKSX2YYNG/DZZ58hNDQU9vb2UKlUCAkJKe9hEb2UZs+eDV9fX5iZmen1XkpISOB7TofFixdDpVIptwJW69+/P1QqFeLi4splXC8zPqCmgurXrx8ePnxY3sMgeumtXLkSI0aMgIODA7p06QIrKyvUrVu3vIf1XIWEhGDnzp24fPmyQe4EGRKGfAXVo0cP1KtXD40aNUJ2djZee+218h4S0Utp9erVAIDly5ejbdu25TsYAzVlyhR8/PHHqFGjRnkP5aXDkK+gFixYoPx7//795TgSopeb+qE/NWvWLOeRGK4qVaooT8qjojHIY/IZGRkwNzfX+TNSt27dlGc+P6tRo0YwMjJCYmKiVl1ubi6+/vpreHt7w8zMDNWrV8fYsWORmZmpcwxpaWmYMmUKGjRoAGtra1hbW6NZs2ZYsmSJzvbqY/9ZWVmYOHEi6tatCzMzM3Tr1q3Y0ywrX375JVQqFRYvXowjR47g9ddfh729PRwdHREVFaV8CKampiImJgaenp4wNzdH/fr1sXz58nyne/bsWfTv3x/Vq1eHmZkZ3Nzc0Lt3b52PG83IyMCCBQvQtWtX1KxZExYWFrC3t0fr1q3x22+/6Zz+08f5du3ahbZt28LGxga2trYICwvDmTNntPqICH755Re0bNkSbm5uMDc3R/Xq1REaGorvv/9e73X29Os9fvx4eHl5wdzcHDVr1sQXX3yBjIwMrT4hISFQqVRISEjAr7/+imbNmsHGxgb29vYa41u6dCnatm0LBwcHmJubo169evjyyy+RlpamNc3Hjx9jypQp8Pf3h52dHaytreHl5YWePXtiy5YtWu2Lu10X9f2TmpqKr7/+Go0aNYKtra3yE/iwYcN0Pg71wIED6NmzJ6pUqQJTU1O4u7tj0KBBuHr1an4vQb6uXbuGd999Fx4eHjAzM4OrqysiIiJw6NAhjXbq7V79RL1XXnkFKpWqyMeO09PT8fHHHyvzq1WrFr7++ut8n4D34MEDfPLJJ/Dx8YGFhQXs7OzQtm1brF+/Xmf7DRs2YODAgahXr56yLv39/fHvf/9b5/p/+rj4hQsX0Lt3b7i5ucHIyAgzZ86ESqXCzp07tZZZpVLpvcx79uxBaGiosv126NChwCcb5ndMPjExER9//DF8fHxgbW0NOzs7eHt746233sLBgwfLfN0BT5462L59e1SrVg1mZmaoWrUqWrZsiQkTJuhsv3nzZoSFhcHFxQVmZmaoWbMmRo0apfX0x2Ir1zvnP0etW7fWeuBHbm6uODg4CAAxNTWV1NRUpS45OVmMjIzE19dXYzr4/w9YiIqKEmtra+ncubN07txZ7OzsBID069dPa9537txRns5UuXJl6dSpk7z++utKn/fff1+rDwCpXr26vP7662JlZSWdOnWSnj17ypAhQ4o9TX3t27ev0IdhFET98IghQ4aImZmZNGzYUKKiopSnsXl7e0tycrI0btxYXF1dJTIyUkJCQkSlUolKpZLNmzdrTXPVqlXKE8UCAgIkMjJSmjZtKiqVSiwtLbUeonP27FkBIFWrVpU2bdpIr169JDg4WExMTPJ98I36QR6jRo0SY2Njadq0qURFRYm3t7cAECcnJ7l165ZGH/UTy8zMzKR9+/bSp08fadOmjbi4uOT7IA5dAEiNGjWkc+fOYmFhIZ07d5aIiAjl9WzXrp3k5ORo9FE/xGbw4MFiZGQkrVq1kt69e0tQUJCIPNm++/TpIwDE2tpaQkJCpHv37srTvZo0aSJpaWnK9HJycqRp06YCQJydnaVLly4SFRUlLVq0EEtLS62HGxV3uy7q++fmzZvKE9McHBwkPDxcIiMjJTAwUIyMjGTGjBka7b///nsxMjISIyMjadq0qfTs2VMZp4uLi5w5c0bv1+XkyZPKkwzVD/ZRP42vUqVKsmzZMqXtqlWrJDo6Wtzc3ASA9OjRQ3kq4tmzZwucj/oBNM2bN5eWLVuKo6OjRERESIcOHcTc3FwAyGeffabV7/z588rr6enpKV27dpW2bdsqTx+cNm2aVh83NzextbWVFi1aSFRUlHTo0EH5HGzbtq3WdqZ+8E3v3r3F1tZWXnnlFenVq5e89tprsnjx4nyXOb+HYT1r3bp1UqlSJWWb7N27t9SrV09MTU1l8ODBhT50R+3Ro0fyyiuvKJ+d3bp1k8jISGnSpImYmJhoTaMs1t13330nAMTY2Fhat24tffr0kfbt24u7u7vOB+iMHTtWyaOgoCCJjIyU2rVrK0/ZfPZpfMVhsCH/xRdfaD216OjRowJA+QCJjY1V6tauXSsAZNiwYRrTwf9/ylm9evU0PvAvXbok9vb2AkD++ecfjT6dOnUSADJixAjJyMhQym/fvi2NGjUSALJp0yad86lVq5Zcv35da3mKM019lVbIA5C5c+cq5VlZWRIaGqo8frNt27by+PFjpf6nn34SANK6dWuN6V2+fFmsrKzE2tpa4zUSEdm0aZOYmJhI9erVNZ6odu/ePYmNjdV6+tilS5fE09NTjIyMNL7wifzvg8PIyEhWrVqllOfk5EiPHj0EgIwbN04pT09PFzMzM7GxsZFLly5pTCs7O1t27dql3wqT/73e7u7ucvHiRaX87t27Ur9+fQGgFWbqkDc3N5e4uDitaU6dOlUASEhIiMa2mpmZKW+//bYAkLFjxyrl27dvVx4Tmp6erjGthw8fyuHDhzXKSrJdF+X9065dOwEgUVFRkpKSolF3+fJlOXHihPL/ffv2ibGxsVSrVk1rvOrtq2nTplrrSpe8vDx59dVXBYDExMRobEvLly8XIyMjsba2lps3b2r00/UEwcKoQ179vnv48KFSd+jQITE2NhZLS0uN5c/JyVHGN3XqVMnNzVXq4uPj5ZVXXhFjY2P5+++/Nea1evVqjS93Ik8CsnPnzgJAlixZolH39FMe33//fa0gK+4yq+fr4uIiAGThwoVKeV5enhJ4+ob8woULBYB06dJFY12IPHkfPb0eymrd1ahRQ1QqlRw6dEijPC8vT+tJhsuWLRMAUr9+fYmPj9doq86vXr16SUkZbMirP8Ce/nb57bffCgD5/ffftb4pjxo1SgBofFMX+d+H1LNhIyLy/vvva32ROHbsmPLB+eyGJ/K/LxpdunTROZ8//vhDq09xp6mv0gr5li1batWtWbNGCdJnH72ak5Mjzs7OYmJiovEY0REjRggAmTNnjs75ffDBBwJAVq5cqdf45s+fLwBk9uzZGuXqDw5de5OHDx/WWid37txRflkoKfXr/Z///EerbtOmTco3+aepP1if/SIq8uRLhrOzs1hZWen89p+WliaVK1cWBwcHZRtSvw9GjhxZ6HhLul3r+/45cOCAABBXV1d59OhRoePq2rWrAJB169bprO/SpYsA0Pn89GepPzNq1Kih89HCERERAkAmT56sUV6SkDcyMtL5GFp1iDwdDKtWrVL2nnVZuXKlAJAPPvhArzHEx8cLAImIiNAoV4e8i4uLxq+dTytuyKuD+dkv9iJPdgrUe7z6hPzXX38tAGTmzJmFzres1p2FhYU4ODjoNQ1/f38BoPXFQuRJ0AcEBIixsbEkJibqNb38GOyJd82aNYOZmZnGMZy4uDjY2NigR48e8PDw0KoDoPO6VRMTE7Rp00ar3NvbGwBw69YtpWzr1q0Anhz7NzLSPuVBfSxT1/EilUqF8PBwrfKSTLMs6TpDX30ykqenp7K+1IyNjeHh4YEjR47g3r17yok16uWNiIjQOZ9WrVph9uzZOHjwILp3765R99dffyEuLg43btxARkYGRER5feLj4/Uet67X1tXVFe7u7jh+/Dg+/vhjDB48uMQnW/Xu3VurrGPHjnBwcMDFixdx69YtrROOunTpotXn6NGjuHfvHtq3bw83NzetegsLCzRs2BAbNmxAfHw86tSpg4CAABgZGWHRokXw8fFBREQEnJycdI6zJNtgUd4/27ZtAwD06dMHNjY2OseilpeXhz///BOWlpbo0KGDzjatWrXC2rVrcfDgQTRo0KDA6e3evRsAEBUVBRMTE636N998EytXrlTalQYPDw/UqVNHq7ygz5aC3hcAdL4G8fHx2LhxI/755x+kpqYiLy9POeaf3/siNDQUlpaWRViawqnXna7t3sTEBJGRkZg5c6Ze02rYsCEAYNq0aXBzc0NYWFi+20xZrbuGDRvir7/+wttvv41Ro0bB19dX5/zu3r2LEydOoHbt2qhfv75WvUqlQlBQEI4fP44jR47ku33rw2BD3sLCAk2aNMHu3buRkJCAGjVqYPfu3WjVqhWMjY0REhKCpUuXIi0tDdnZ2Th+/Dh8fHzg4uKiNa3KlSvD2NhYq1y9QT19AkZCQgIA4LPPPsNnn32W7/h0nVjl6uoKMzMzrfKSTLMsVatWTavM2to637qn63Wtw/z6qN27d0/598OHDxEREYHt27fn2z4lJUVnubu7u1aZrtcWAJYsWYLevXvj66+/xtdffw0PDw8EBwejd+/eeP311wsc77McHBzy/VDy8PBAUlISbt68qRXyui4jUq+z2NjYQk+AunfvHurUqQNvb29MnToVn3zyCQYPHowhQ4agfv36aNeuHfr37w8/Pz+t6RdnGyzK++fatWsAAC8vrwKXQb0cjx8/BgCYmpoW2rYwN2/eBIB8r/tWl9+4caPQaelL17YHFPzZ0q9fP/Tr1y/faT69rCKCMWPGYMaMGfmeyJff++J5XK6mXsceHh4664tyzX27du3w4YcfYubMmejTpw8qVaqEwMBAtG/fHgMHDtT4Al5W6+77779Ht27dsHDhQixcuBBubm4IDg5GREQEIiMjlfeBejzx8fF6vV9LwmBDHniyV757927ExcXB398fSUlJyp56SEgIlixZgr179yI9PR15eXkIDg7WOR1dey75ycvLAwC0bNlSrw+qp5mbm5f6NMtSQeupOOswOjq6wHZNmzZV/j127Fhs374dwcHBmDBhAurXrw97e3sYGxtj69at6NChQ75v1KKMrW3btvjnn3+wfv16bN68GXFxcfjvf/+L//73v+jRo0eBVwuUFl3biXqd1apVC0FBQQX2f3pvffTo0YiKisLq1asRGxuL3bt3Y8aMGZg5cyZmzJiBESNGaEy/ONtgUdZvUajHZG1tjR49ehTYNr89qqIoytnj+irO+6Jjx446f61Rc3Z2Vv79+++/49tvv0X16tUxY8YMNG/eHC4uLjAxMUFWVhbMzMzyfV/k93n0Ivn222/x7rvvYs2aNdi2bRv27NmDgwcPYurUqVi6dKmyXZTVuvPz88OZM2ewefNmbNy4EXFxcVi2bBmWLVuG5s2bIy4uDqampsp4KleuXOheen5fiPRl0CEfHByMSZMmIS4uDklJSQCgEfLAk5/p09PTNcpKQv3NvFu3bhg9enSJp/e8pvkic3d3x8WLFzF9+vR8fz5+1qpVq2BsbIy1a9fC1tZWo+7SpUulOj5bW1v07dsXffv2BfDkPgM9e/bEihUrsHHjRnTq1Emv6SQlJSElJUXn3rz60q+qVavqNS31NlK3bl0sXrxYrz5q1atXx/DhwzF8+HDk5OTgt99+w4ABAxATE4O33noLDg4OZbYNVq9eHQBw8eLFQts6OzvD3NxcOeRQ0hBWr+srV67orNf3F6bnRf0aDBo0qNAvNWqrVq0CAMydOxdhYWEadaX9vtCH+lep/NZxfuUFqVOnDmJiYhATE4OMjAx89913+Oijj/Dee+8p66ks1525uTm6deumXP58+vRp9O3bF/v27cNPP/2EoUOHKuNxdnYu8vu1qAzyOnm1Fi1awNTUFHFxcYiLi4OtrS0CAwMBPPlZSH1cXn08Pr89+aJo3749gP9tIKXheUzzRVac5U1KSoKtra1WwAPAsmXLSm1sujRr1gxvvvkmAODUqVNF6qtrbFu3bsWDBw9Qs2ZNvW8A0rhxY9jZ2WHnzp148OBBkcbwtEqVKuGNN95A48aNkZWVpRxzLKttMDQ0FACwdOlS5af4gsYaEhKCR48e4c8//yzxvNXHZf/44w/k5uZq1f/8888a7cpacd8XgO7DAiV5X6gPj+Tk5BSpn3rd6Zp3Tk4OVqxYUewxAU8CdsyYMahSpQoSExNx9+5dAOW77nx9fTFs2DAA//t8cHd3R926dXHmzBmd930oTQYd8urj8leuXMHWrVuV4/FqISEhOHjwII4fP466desW+DOOvpo2bYr27dtjz549GDZsGB49eqTV5sSJE9i8eXO5TvNFNnr0aFhYWGDMmDFYuXKlVn1mZiaWL1+u3GQHeHKiUlJSEn7//XeNtjNmzFBuVlJSV69exeLFi7VuKpORkaHMQ70nqq8JEyYoe4jAk+NvH330EQAoHwz6MDMzQ0xMDFJSUhAREaFzT+PGjRv4v//7P+X/O3bswLZt25SfDtUuX76Ms2fPQqVSKR9wZbUNNmnSBG3atMHdu3cxePBgpKamatQnJCTg77//Vv7/2WefwcjICAMGDNB5A5rHjx9j4cKFyq91BQkJCcGrr76KhIQEfPHFFxo/xa5atQorV66EtbU1Bg4cWPwFLIEePXrAx8cHv/zyCyZNmqR1voiIYM+ePdizZ49Spj6B7z//+Y/G8uzevRvTpk0r9ljUv3qcP3++SP169uwJJycnxMXFadxASUQwfvz4It28aPXq1Trv1nnkyBHcuXMH1tbWyo2iymLdpaWlYfbs2UhOTtYoz8vLU94XT38+jBs3Dnl5eejRoweOHz+uNb379+9j/vz5Ba8EfZTo3PyXwGeffaZcxvPszQ6evh5UfdOZZwHI9yYn6v7PXu5x584dadCggQAQe3t7CQkJkb59+0pYWJhyM4YRI0boPZ/iTrMgEydOlKZNm0rTpk2V+wbY2NgoZU2bNtW6Hjg/6kvonr4USk19qVB+l+fldynO6tWrlZtU1KpVS8LDw6V3797SqlUrsbKyEgBy7Ngxpf3PP/+svJatWrWSPn36iI+PjxgZGcmHH36odTmliO7Lcp727GuivozM0tJSWrduLX379pWuXbsq1/02atRI4/rxggD/uxmOpaWlhIeHS0REhHLteJs2bSQ7O1uvdaWWm5srb775pgBPbq7RtGlT6d27t0RERIivr6+oVCrx9/dX2s+YMUO5VKpjx47Sr18/ee2115SbEA0fPlxj+qW9Xef3/rl+/brUqVNHAIijo6N06dJFevbsme/NcObOnSvGxsbKNccRERHSq1cvadq0qbIsSUlJ+bwSmk6ePClOTk6C/39tf58+fSQoKEiAJzfD+f3337X6lOQSuvzeF/m9py5cuKDcAMbV1VVCQ0Olb9++8tprr4mrq6sAmvdXOH/+vPJ+8fHxUd5DKpVKubHTs69Pfq/L01asWCEAxNbWViIjI+Xtt9+Wt99+W69lX716tfJ6NW3aVHmvmpiYyDvvvKP3JXTqS22rVasmnTt3lr59+0pISIgy7enTp5fpuktKShIAYmJiIs2aNVPee0/fgOfevXsaY/r000+VSykDAwOlZ8+eEhkZKQ0aNBBjY2Oxs7PTa50WxOBDPjY2Vvnwf/YGBU/fkOK3337T2b84H1IiT26cMnv2bGnRooXY2dmJqampVK9eXYKDg2XatGly7do1vedT3GkWRP2mKehP3w+t5xHyIiL//POPDB06VGrXri3m5uZiY2Oj3IVs2bJlGjfDERHZsGGDNGvWTGxsbMTe3l5CQ0MlLi5OduzYUSoh/+jRI5k+fbp06tRJPD09xdzcXJycnKRRo0YyY8aMfK8pLmjaGRkZ8umnn4qnp6eYmpqKh4eHfPbZZ1o34ChsXT1tzZo1EhYWJq6urmJiYiKurq7SsGFDiYmJkSNHjijt4uPj5fPPP5egoCCpUqWKmJqaSrVq1aRdu3ayYsUKrRsLiZTudl3Q++fRo0cyceJE8fPzEwsLC7G2tpa6devK+++/r3HjELVjx45JdHS0eHh4iKmpqdjb24uvr68MHDhQ1q9fr3NZ8nPlyhV55513pHr16mJiYiLOzs7SrVs3OXDggM72ZRnyIk/uzjl58mQJDAwUa2trMTc3F09PT+nQoYN8//33WtdVnz17VsLDw8XV1VUsLS2lQYMGyv0ZihvyIk++JPr4+ChfpIqyz7hr1y5p06aNWFlZia2trbRr10727t2b77x1vVePHTsmo0ePVu6kaWZmJh4eHhIeHi7btm3TOd/nue6ys7Pl+++/l4iICPHy8hJLS0uxt7cXPz8/mTBhgty/f1/nmHbu3Ck9e/aUqlWriomJiTg5OYmfn5+8//77Wnf2LA7V/x8sEZUhlUoFDw8PjZ/qiYhKm0EfkyciIqrIGPJEREQGiiFPRERkoAz6ZjhELyqeCkNEZYF78kRERAaKIU9ERGSgGPJEREQGiiFPRERkoBjyREREBoohT0REZKB4Cd0LoHLlykhNTUWNGjXKeyhERAbt6tWrsLKywu3bt8t7KGWCe/IvgNTUVGRnZ5f3MIiIDF52drbWI4wNGffkXwDqPfjTp0+X80iIiAybr69veQ+hTHFPnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhA8XnyBmLOvvIeAb1Mhjcv7xEQUVngnjwREZGBYsgTEREZKIY8ERGRgWLIExERGSiGPBERkYFiyBMRERkohjwREZGBYsgTEREZKIY8ERGRgWLIExERGSiGPBERkYFiyBMRERkohjwREZGBemlD/siRI/jqq68QEREBd3d3qFQqqFSqIk0jNDRU6Xf9+vV82+3ZswedOnWCo6MjrK2t0aRJE/z3v/8t6SIQERE9Vy/to2YnTZqENWvWFLv/4sWL8eeff0KlUkFE8m23YsUK9OrVC3l5eWjdujWcnZ3x559/Ijo6GidPnsQ333xT7DEQERE9Ty/tnnzz5s0xbtw4rF27Frdu3YKZmZnefRMTEzF69Gi89tprqFGjRr7tHjx4gIEDByI3NxfLly9HXFwcli9fjnPnzqFWrVqYPn064uLiSmFpiIiISt9Luyc/duzYYvcdOXIk0tLS8MMPP6Bdu3b5tvvpp5/w6NEjdO3aFREREUq5m5sbpk6dioiICEyfPh0hISHFHgsREdHz8tLuyRfX5s2b8euvv+Kzzz6Dl5dXgW03bNgAAIiMjNSqCwsLg7m5ObZt24aMjIznMlYiIqKSqFAhn5qaivfeew9169ZFTExMoe1PnDgBAAgMDNSqMzU1Rf369ZGRkYELFy6U+liJiIhKqkKF/BdffIGEhAT8+OOPMDU1LbDto0eP8PDhQwCAu7u7zjbq8itXrpTuQImIiErBS3tMvqiOHj2KWbNmITo6GsHBwYW2f/z4sfJvS0tLnW2srKwAACkpKXqNwdfXV2f5xYsXCz10QEREVFQVYk8+NzcXgwYNgr29PS95IyKiCqNC7MnPnDkTx44dw4IFC+Ds7KxXH2tra+XfaWlpsLW11WqTmpoKALCxsdFrmqdPn9ZZnt8ePhERUUlUiJBft24dVCoVlixZonWnutu3bwMAevbsCTMzM3z88cfo2LEjbG1tYWdnh4cPH+L69evw8fHRmq76LnkeHh7PfyGIiIiKqEKEPACICHbt2pVv/f79+wEA/fv3V8r8/f2xa9cuHD16VCvks7OzcerUKZibm8Pb2/u5jJmIiKgkKsQx+bi4OIiIzj/1Xvi1a9cgIhohHxYWBgBYvny51jTXr1+PjIwMhIaGwtzcvEyWg4iIqCgqRMgX16BBg2Bra4s1a9Zg5cqVSvndu3eV6+xHjx5dXsMjIiIq0Ev7c/2GDRswadIk5f9ZWVkAgGbNmill48aNU/bGi8PR0RELFy5EVFQUIiMjERISAicnJ2zbtg3JyckYNWoUb2lLREQvrJc25BMTE3HgwAGt8qfLEhMTSzyfHj16YNeuXZg8eTL279+PrKws+Pj44P3330d0dHSJp09ERPS8qKSg56xSmVBfQpffJXb6mLOvtEZDFcHw5uU9AqLyURqfty8THpMnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAvbcgfOXIEX331FSIiIuDu7g6VSgWVSqWzbV5eHnbv3o2YmBg0bNgQNjY2MDMzg5eXF4YMGYLLly8XOK89e/agU6dOcHR0hLW1NZo0aYL//ve/z2OxiIiISk2l8h5AcU2aNAlr1qzRq+2lS5fQunVrAEDlypXRtm1bGBsb4+DBg5g3bx5+/fVXbNy4ES1bttTqu2LFCvTq1Qt5eXlo3bo1nJ2d8eeffyI6OhonT57EN998U6rLRUREVFpe2j355s2bY9y4cVi7di1u3boFMzOzfNuqVCq0b98ef/75J27evIk1a9Zg5cqVuHjxIvr374+UlBT069cP2dnZGv0ePHiAgQMHIjc3F8uXL0dcXByWL1+Oc+fOoVatWpg+fTri4uKe85ISEREVj0pEpLwHURrMzc2RmZmJoi5Oeno6qlSpgocPHyIuLg7BwcFK3dSpUzF27Fh07doVq1ev1ui3atUqREREoHPnzli3bl2Jxu7r6wsAOH36dLGnMWdfiYZAFczw5uU9AqLyURqfty+Tl3ZPvrRYWFjA29sbAHDz5k2Nug0bNgAAIiMjtfqFhYXB3Nwc27ZtQ0ZGxvMfKBERURFV+JDPy8vDlStXADw5Xv+0EydOAAACAwO1+pmamqJ+/frIyMjAhQsXnv9AiYiIiqjCh/zSpUtx9+5duLi4oEWLFkr5o0eP8PDhQwCAu7u7zr7qcvWXBCIiohfJS3t2fWm4du0aRo4cCQCYOHGixsl7jx8/Vv5taWmps7+VlRUAICUlRa/5qY8FPevixYvw8vLSaxpERET6qrAhn5qaioiICNy7dw/dunXDkCFDyntIRBUWTxylouLJo/qpkCGfnZ2Nnj174vDhw2jZsiV+/fVXrTbW1tbKv9PS0mBra6vVJjU1FQBgY2Oj13zzO5szvz18IiKikqhwx+Tz8vIQHR2NTZs2ISAgAOvWrYOFhYVWO1tbW9jZ2QEArl+/rnNa6nIPD4/nN2AiIqJiqnAhP3z4cCxduhTe3t7YsmUL7O3t823r7+8PADh69KhWXXZ2Nk6dOgVzc3PlEjwiIqIXSYUK+c8//xw//PADatSogdjYWLi6uhbYPiwsDACwfPlyrbr169cjIyMDoaGhMDc3fy7jJSIiKokKE/IzZszAv/71L1SuXBnbtm1DjRo1Cu0zaNAg2NraKrfBVbt79y5iYmIAAKNHj35uYyYiIiqJl/bEuw0bNmDSpEnK/7OysgAAzZo1U8rGjRuHsLAwHD9+XAnjV155Bf/61790TnPQoEEaD6lxdHTEwoULERUVhcjISISEhMDJyQnbtm1DcnIyRo0ahZCQkOewdERERCX30oZ8YmIiDhw4oFX+dFliYiIAIDk5Wbmn/b59+7Bvn+7rdUJCQrSeRNejRw/s2rULkydPxv79+5GVlQUfHx+8//77iI6OLq3FISIiKnUvbcj3798f/fv316ttSEhIkR9c87SgoCBs2rSp2P2JiIjKQ4U5Jk9ERFTRMOSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQL20IX/kyBF89dVXiIiIgLu7O1QqFVQqVaH9Fi9ejCZNmsDa2hqOjo7o1KkT9u7dW2CfPXv2oFOnTnB0dIS1tTWaNGmC//73v6W1KERERM9FpfIeQHFNmjQJa9asKVKfkSNHYtasWbCwsMBrr72GjIwMxMbGYuvWrVi+fDm6deum1WfFihXo1asX8vLy0Lp1azg7O+PPP/9EdHQ0Tp48iW+++aaUloiIiKh0vbQh37x5c/j5+aFx48Zo3LgxPD09kZmZmW/7bdu2YdasWXBycsK+fftQu3ZtAMC+ffsQEhKCAQMGICQkBPb29kqfBw8eYODAgcjNzcWKFSsQEREBALhz5w5atmyJ6dOno3PnzggJCXmei0pERFQsL+3P9WPHjsXEiRMRHh6OypUrF9r+22+/BQB8/vnnSsADT74sDBkyBMnJyViwYIFGn59++gmPHj1C165dlYAHADc3N0ydOhUAMH369NJYHCIiolL30oZ8UaSnp2P79u0AgMjISK16ddm6des0yjds2JBvn7CwMJibm2Pbtm3IyMgo7SETERGVWIUI+fPnzyMzMxMuLi5wd3fXqg8MDAQAnDx5UqP8xIkTGvVPMzU1Rf369ZGRkYELFy48h1ETERGVTIUI+atXrwKAzoAHACsrK9jb2yMpKQkpKSkAgEePHuHhw4cF9lOXX7lypbSHTEREVGIv7Yl3RfH48WMAgKWlZb5trKyskJycjJSUFNjY2Ch9CupnZWUFAMoXg8L4+vrqLL948SK8vLz0mgYREZG+KsSePBERUUVUIfbkra2tAQBpaWn5tklNTQUA2NjYaPRR97O1tS20T2FOnz6tszy/PXwiIqKSqBB78jVq1AAAXL9+XWd9amoqkpOT4eDgoAS2ra0t7OzsCuynLvfw8CjtIRMREZVYhQj5OnXqwMzMDImJibhx44ZW/dGjRwEAfn5+GuX+/v4a9U/Lzs7GqVOnYG5uDm9v7+cwaiIiopKpECFvYWGBtm3bAgD++OMPrfrly5cDAMLDwzXKw8LCNOqftn79emRkZCA0NBTm5ualPWQiIqISqxAhDwCjRo0CAEyePBnx8fFK+b59+zBv3jzY29vj7bff1ugzaNAg2NraYs2aNVi5cqVSfvfuXcTExAAARo8eXQajJyIiKrqXNuQ3bNiAZs2aKX9ZWVkAoFGmvmMdAISGhmLEiBG4f/8+AgIC0K1bN3Tq1AmtW7dGTk4OFi1apHHfegBwdHTEwoULYWRkhMjISLRt2xY9e/ZEnTp18M8//2DUqFG8bz0REb2wXtqz6xMTE3HgwAGt8qfLEhMTNepmzpyJgIAAfPfdd4iNjYWpqSlCQ0Mxbtw4tGjRQud8evTogV27dmHy5MnYv38/srKy4OPjg/fffx/R0dGlu1BERESlSCUiUt6DqOjUl9Dld4mdPubsK63RUEUwvHl5j0ATt18qquJuw6XxefsyeWl/riciIqKCMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDFSphvzVq1fx4MGDQtslJSXh6tWrpTlrIiIiekaphvwrr7yCjz76qNB2MTExqFmzZmnOmoiIiJ5RqiEvItD3eTd8Lg4REdHzVS7H5O/duwcLC4vymDUREVGFUeLnye/atUvj/7dv39YqU8vJycH58+exZcsW5XF/RERE9HyUOORDQkKgUqmU/2/ZsgVbtmzJt72IQKVSYfTo0SWdNRERERWgxCH/1ltvKSG/ZMkSeHl5ISgoSGdbU1NTVK1aFeHh4QgMDCzprImIiKgAJQ75xYsXK/9esmQJWrZsiYULF5Z0skRERFRCJQ75p+Xl5ZXm5IiIiKgEeMc7IiIiA1Wqe/IAkJmZiaVLl2LXrl24desWMjMzdbZTqVT4888/S3v2RERE9P+VasjfuHED7dq1Q3x8fKE3u3n6jHwiIiIqfaUa8h999BEuXLiAFi1aYNSoUfD29oaNjU1pzoKIiIj0VKohv2XLFtSoUQPbtm2Dubl5aU6aiIiIiqhUT7zLzMxE06ZNGfBEREQvgFIN+VdffRX37t0rzUkSERFRMZVqyI8dOxa7du3CwYMHS3OyREREVAylGvKBgYEYNWoU2rVrh/Hjx+Ovv/5CQkICrl69qvOvPBw6dAhRUVGoWrUqTExMYG9vj1atWmHRokU6rwjIzc3FjBkz8Oqrr8LCwgIuLi6IiorC2bNny2H0RERE+lNJKT7Y3cjICCqVSnkITYEzVqmQk5NTWrPWy4oVK9CrVy/k5uYiMDAQtWrVQmJiInbv3o2cnBz07dsXv/zyi9I+Ly8PkZGRWLVqFezt7dGuXTvcu3cPu3btgoWFBXbs2IEmTZqUeFzqJ/KdPn262NOYs6/Ew6AKZHjz8h6BJm6/VFTF3YZL4/P2ZVKqZ9e3bt36hb3+PScnB0OHDkVubi5++eUX9O3bV6k7e/YsWrZsiV9//RWDBg1CmzZtAAALFy7EqlWrULt2bezevRtubm4AnnxZiIyMRL9+/XD27FlUqlTq9xQiIiIqsVJNp7i4uNKcXKk6d+4c7t69izp16mgEPADUq1cPb7zxBmbPno1Dhw4pIf/tt98CAKZOnaoEPAD06NEDXbp0wdq1a7FmzRr06NGj7BaEiIhITxXm3vVmZmZ6tXNycgIAXL58GWfPnoWFhQXCwsK02kVGRgIA1q1bV3qDJCIiKkUVJuRr1qwJLy8vnD9/Hr/++qtG3dmzZ/Hzzz/DwcEB3bt3BwCcOHECAFC/fn2YmJhoTS8wMBAAcPLkyec8ciIiouIp1Z/rJ06cqHdblUqFcePGlebsC2RsbIwlS5agc+fO6NevH6ZPn47atWvj7t272L17N3x8fLB48WI4OjoCgHL2v7u7u87pqcuvXLlSNgtARERURKUa8l9++aVydr0u6pPy1Gffl2XIA0BQUBB27tyJ7t274+jRozh69CgAwNTUFO3bt0fNmjWVto8fPwYAWFpa6pyWlZUVACAlJUXv+avP6nzWxYsX4eXlpfd0iIiI9FGqIb9o0SKd5Xl5ebh27RpiY2OxZ88eDBs2DI0aNSrNWetl6dKlGDBgAJo1a4alS5fC19cXN2/exDfffIPp06djx44d2Lt3r97H74mIiF5kpRry0dHRBdZ/8cUXmDp1KiZOnIjBgweX5qwLFR8fj+joaLi6umL9+vWwtrYGANSuXRvz5s3DzZs3sX79eixcuBDvvfeeUp+WlqZzeqmpqQBQpKfs5XddZn57+ERERCVR5ifexcTEwN3dHZ9++mmZzve3335DdnY2OnbsqAT406KiogAAu3btAgDUqFEDAHD9+nWd01OXe3h4PI/hEhERlVi5nF3/6quv4q+//irTeapD2c7OTme9ujwpKQkA4O/vDwA4deoUsrOztdqrj+f7+fmV+liJiIhKQ7mE/MWLF8v8lraVK1cGABw+fFhn/aFDhwAAnp6eAIBXXnkF9erVQ3p6OjZs2KDVfvny5QCA8PDw5zBaIiKikivTkE9KSsLo0aNx/PjxUrnne1F07doVwJOf4+fOnatRt3//fsyYMQPA/25yAwCjRo0C8OQQw927d5XylStXYu3atahVq5YyXSIiohdNqZ549/QlaM96/Pgx7t+/DxGBhYUFpkyZUpqzLlRgYCDGjBmDb775BkOHDsX3338PHx8f3Lx5E/v27UNeXh4GDx6M0NBQpc/AgQOxceNGrFq1CnXr1lUeULNz505YWFjg559/5n3riYjohVWqCZWQkJBvnYmJCapXr47g4GCMHTsWPj4+pTlrvUybNg0tWrTAjz/+iCNHjuD8+fOwsbFBcHAw3nnnHfTp00ejvZGREf744w/MmjULCxcuxPr162FlZYUePXpgwoQJ5bIMRERE+irVR81S8fBRs1TW+KhZetnxUbP6qTD3riciIqponnvIJyUlKZelERERUdl5LiG/ceNGdOjQAdbW1nB2doazszOsra3RsWNHbNy48XnMkoiIiJ5R6iH/4YcfIjw8HLGxsUhLS4OtrS3s7OyQlpaGrVu3Ijw8XLk0jYiIiJ6fUg3533//HbNmzYKLiwtmz56t/FT/4MEDJCcnY86cOXB1dcWsWbOwbNmy0pw1ERERPaNUQ/6HH36Aubk5du3ahffff1/jFrK2trYYNmwYdu7cCTMzM/zwww+lOWsiIiJ6RqmG/IkTJ9C2bVt4e3vn28bb2xtt27bF8ePHS3PWRERE9IxSDfmsrCxYWVkV2s7KygpZWVmlOWsiIiJ6RqmGvJeXF3bu3Kk8a12XtLQ07Ny5E15eXqU5ayIiInpGqYZ8VFQU7t69i27duiE+Pl6r/uLFi4iIiEBiYiJ69epVmrMmIiKiZ5TqvevHjBmDNWvW4M8//4SPjw8CAwOVR7deuXIFR44cQW5uLho1aoTRo0eX5qyJiIjoGaUa8hYWFoiLi8Mnn3yChQsX4tChQ8pz2tX1AwcOxJQpU2BhYVGasyYiIqJnlPpzUq2trTFnzhx8/fXXOHLkCG7evAkAqFq1Kho2bAhLS8vSniURERHpUOKQ3759O65fv45GjRppPHrV0tISrVq10mh75swZHD58GNWrV0ebNm1KOmsiIiIqQIlC/tq1awgLC0P16tVx5MiRQttXr14d3bt3x/Xr1xEfH4+qVauWZPZERERUgBKdXf/TTz8hKysLU6dOhY2NTaHtbWxsMG3aNKSnp2PBggUlmTUREREVokQhHxsbCxcXF3Tr1k3vPl26dIGbmxs2bdpUklkTERFRIUoU8ufOnUPjxo2L3K9Ro0Y4f/58SWZNREREhShRyKempmo8hEZfdnZ2ePz4cUlmTURERIUoUcg7ODjgzp07Re53584dODg4lGTWREREVIgShbyPjw/279+P9PR0vfukpaVh3759GpfbERERUekrUch37twZqampmDx5st59Jk+ejPT0dISHh5dk1kRERFSIEoX8kCFD4Obmhq+++gqTJ09GXl5evm3z8vIwadIkfPXVV3Bzc8O7775bklkTERFRIUp0MxxLS0usWLECoaGhGD9+PObPn4+ePXsiMDAQLi4uAIDExEQcPXoUf/zxB65fvw5zc3OsWLGCt7clIiJ6zkp8W9sWLVpg7969ePPNN3H69GnMmDFDq42IAAB8fX3x888/w9/fv6SzJSIiokKUygNqAgIC8Pfff2Pz5s3YsGEDjh8/jvv37wMAnJycEBAQgLCwMHTs2LE0ZkdERER6KNWn0HXs2JFBTkRE9IIo0Yl3L6vExESMGTMGderUgYWFBRwdHREYGIiPPvpIZ/t169YhODgYtra2sLW1RUhICDZs2FDGoyYiIiqaChfyR44cQb169TB9+nSYmJiga9euaNasGR48eKDzfIKZM2eiS5cu2Lt3L4KCgtC2bVscPHgQnTt3xnfffVcOS0BERKSfUv25/kWXmJiIjh07Ij09HWvWrEGXLl006g8ePKjx//Pnz2PMmDEwMzPDjh070Lx5cwDAhQsX0KJFC3z44Yfo2LEjatWqVWbLQEREpK8KtSc/fvx43Lt3D9OmTdMKeABo0qSJxv9nzZqF3NxcDBkyRAl4APD29sZnn32GnJwczJo167mPm4iIqDgqTMinp6fj559/hpWVFQYMGKBXH/Vx98jISK06ddm6detKb5BERESlqML8XH/48GGkpKSgZcuWsLCwwKZNmxAbG4uMjAx4e3sjKioKVatWVdonJyfj6tWrAIAGDRpoTa969epwdnbGlStX8OjRI9ja2pbZshAREemjwoT8mTNnAACurq7o1q0b1qxZo1H/6aefYsGCBejTpw8AKAHv4OAAKysrndN0d3fHvXv3cOXKFbz66qvPcfRERERFV2FCPikpCQCwdu1aGBsb4/vvv0fPnj2RlpaG7777Dt988w2io6NRr149BAQEKM+7L+j2u+rwT0lJ0WsMvr6+OssvXrwILy+voiwOERFRoSrMMXn1w3NycnIwceJEDB06FC4uLvDw8MC0adPQs2dPZGdnY9q0aeU8UiIiotJRYfbkra2tlX/rOvFuwIAB+OOPP7Bz506N9mlpaflOMzU1FQBgY2Oj1xhOnz6tszy/PXwiIqKSqDB78h4eHgCe/PyufkLe0zw9PQEAd+/eBQDUqFEDwJOf+dVh/qzr169rTJuIiOhFUmFCXn2GfHp6OjIzM7XqHzx4AOB/e/D29vZK0B87dkyr/bVr13Dv3j14eHjwzHoiInohVZiQr1GjBvz9/SEiyk/yT1OXPX25XFhYGABg+fLlWu3VZeHh4c9juERERCVWYUIeAGJiYgAAY8aMwa1bt5Ty48ePY/r06QCAIUOGKOUjRoyAsbExfvzxR+zfv18pj4+Px7/+9S9UqlQJI0aMKKPRExERFU2FOfEOAPr27YutW7diyZIl8PHxQYsWLZCeno69e/ciMzMT77zzDnr27Km0r1OnDqZNm4ZRo0ahVatWaN++PUxNTbF161akp6dj9uzZvG89ERG9sCpUyAPAokWLEBQUhHnz5iEuLg4qlQqBgYF49913ER0drdX+ww8/RK1atTBt2jTs3r0bANCoUSPExMSgc+fOZT18IiIivVW4kFepVHjnnXfwzjvv6N0nPDycx96JiOilU6GOyRMREVUkDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUBU65O/fvw9XV1eoVCrUqlWrwLaLFy9GkyZNYG1tDUdHR3Tq1Al79+4to5ESEREVXYUO+dGjR+PevXuFths5ciQGDBiAU6dOITQ0FE2aNEFsbCxat26N1atXP/+BEhERFUOFDfk///wTS5YswTvvvFNgu23btmHWrFlwcnLCiRMnsHr1amzevBm7du2CsbExBgwYgOTk5LIZNBERURFUyJBPT0/Hu+++Cx8fH4wZM6bAtt9++y0A4PPPP0ft2rWV8ubNm2PIkCFITk7GggULnut4iYiIiqNChvyECRNw6dIl/PjjjzAxMcm3XXp6OrZv3w4AiIyM1KpXl61bt+75DJSIiKgEKlzInzx5EtOnT8eAAQPQqlWrAtueP38emZmZcHFxgbu7u1Z9YGCgMk0iIqIXTYUK+by8PAwaNAj29vaYOnVqoe2vXr0KADoDHgCsrKxgb2+PpKQkpKSklOpYiYiISqpSeQ+gLM2ZMweHDh3CokWL4OTkVGj7x48fAwAsLS3zbWNlZYXk5GSkpKTAxsamwOn5+vrqLL948SK8vLwKHQ8REVFRVJg9+atXr+Lzzz9HcHAw+vfvX97DISIieu4qzJ78sGHDkJWVhR9//FHvPtbW1gCAtLS0fNukpqYCQKF78QBw+vRpneX57eETERGVRIUJ+fXr18Pe3h5DhgzRKM/IyAAA3LhxAyEhIQCA3377DZUrV0aNGjUAANevX9c5zdTUVCQnJ8PBwUGvkCciIipLFSbkASA5ORk7d+7UWZeRkaHUqYO/Tp06MDMzQ2JiIm7cuIFq1app9Dl69CgAwM/P7zmOmoiIqHgqzDF5EdH5d/nyZQCAl5eXUubp6QkAsLCwQNu2bQEAf/zxh9Y0ly9fDgAIDw8vm4UgIiIqggoT8sU1atQoAMDkyZMRHx+vlO/btw/z5s2Dvb093n777fIaHhERUb4Y8oUIDQ3FiBEjcP/+fQQEBKBbt27o1KkTWrdujZycHCxatAj29vblPUwiIiItDHk9zJw5E4sWLUK9evUQGxuLffv2ITQ0FLt27UK3bt3Ke3hEREQ6VagT73Tx9PSEiBTarn///ry+noiIXirckyciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUAx5IiIiA8WQJyIiMlAMeSIiIgPFkCciIjJQDHkiIiIDxZAnIiIyUBUm5NPS0rB69Wq8/fbbqFOnDszNzWFlZQV/f39MnDgRjx8/zrfv4sWL0aRJE1hbW8PR0RGdOnXC3r17y3D0RERERVdhQv7XX39F9+7dsXDhQhgbG6NLly5o1aoVLl++jPHjx6Nx48a4e/euVr+RI0diwIABOHXqFEJDQ9GkSRPExsaidevWWL16ddkvCBERkZ4qTMibmJhg8ODBOHPmDM6cOYNly5Zh8+bNOH/+PBo0aIBz585h5MiRGn22bduGWbNmwcnJCSdOnMDq1auxefNm7Nq1C8bGxhgwYACSk5PLZXmIiIgKU2FCPjo6GvPmzUO9evU0yqtUqYLvv/8eALBy5UpkZWUpdd9++y0A4PPPP0ft2rWV8ubNm2PIkCFITk7GggULymD0RERERVdhQr4g/v7+AIDMzEzcv38fAJCeno7t27cDACIjI7X6qMvWrVtXRqMkIiIqGoY8gEuXLgF48pO+o6MjAOD8+fPIzMyEi4sL3N3dtfoEBgYCAE6ePFl2AyUiIioChjyAWbNmAQA6duwIMzMzAMDVq1cBQGfAA4CVlRXs7e2RlJSElJSUshkoERFREVQq7wGUt40bN2LBggUwMTHBpEmTlHL1JXWWlpb59rWyskJycjJSUlJgY2NT6Lx8fX11ll+8eBFeXl5FHDkREVHBKvSe/Llz5/DGG29ARDBt2jTl2DwREZEhqLB78jdu3EDHjh2RlJSEUaNGYcSIERr11tbWAJ7cRCc/qampAKDXXjwAnD59Wmd5fnv4REREJVEh9+QfPHiA1157DVeuXMGAAQPwzTffaLWpUaMGAOD69es6p5Gamork5GQ4ODjoHfJERERlqcKF/OPHj/H666/jzJkziIiIwPz586FSqbTa1alTB2ZmZkhMTMSNGze06o8ePQoA8PPze+5jJiIiKo4KFfKZmZno2rUrDh48iA4dOmDp0qUwNjbW2dbCwgJt27YFAPzxxx9a9cuXLwcAhIeHP78BExERlUCFCfnc3Fz06dMH27dvR6tWrbBy5UqYmpoW2GfUqFEAgMmTJyM+Pl4p37dvH+bNmwd7e3u8/fbbz3XcRERExVVhTrz77rvvsGrVKgCAs7Mzhg4dqrPdN998A2dnZwBAaGgoRowYgVmzZiEgIADt27dHVlYWYmNjISJYtGgR7O3ty2oRiIiIiqTChHxSUpLyb3XY6/Lll18qIQ8AM2fOREBAAL777jvExsbC1NQUoaGhGDduHFq0aPFcx0xERFQSKhGR8h5ERae+hC6/S+z0MWdfaY2GKoLhzct7BJq4/VJRFXcbLo3P25dJhTkmT0REVNEw5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeT1kJ6eji+++ALe3t4wNzdH1apVMXDgQNy4caO8h0ZERJQvhnwhMjIy0LZtW0yaNAmPHz9G165dUb16dSxatAgNGjTApUuXynuIREREOjHkCzF58mTs378fzZs3x4ULF/D777/jwIEDmD59OhITEzFw4MDyHiIREZFODPkCZGVl4bvvvgMAfP/997C2tlbqRo0aBT8/P+zcuRNHjhwpryESERHliyFfgD179uDhw4fw8vJCgwYNtOojIyMBAOvWrSvroRERERWKIV+AEydOAAACAwN11qvLT548WWZjIiIi0hdDvgBXr14FALi7u+usV5dfuXKlzMZERESkr0rlPYAX2ePHjwEAlpaWOuutrKwAACkpKXpNz9fXV2f5uXPnYGJikm+9Ph6kF7srVUA/WpT3CDRx+6WiKu42fPHiRZiYmJTuYF5gDPkXgEqlKvFG5/iCfWi/CC5evAgA8PLyKueRUGG4/Wrj9vt8mJiYKDtoFQFDvgDqs+nT0tJ01qempgIAbGxs9Jre6dOnS2dgpBf1LyNc7/Qy4vZLpYHH5AtQo0YNAMD169d11qvLPTw8ymxMRERE+mLIF8Df3x8AcPToUZ316nI/P78yGxMREZG+GPIFCAoKgp2dHS5evIjjx49r1S9fvhwAEB4eXsYjIyIiKhxDvgCmpqZ4//33AQDDhg1TjsEDwLfffouTJ08iODgYDRs2LK8hEhER5Ysn3hXi888/x7Zt27B3717Url0brVq1wpUrV3DgwAG4uLhg4cKF5T1EIiIinVQiIuU9iBddeno6pkyZgl9//RXXrl2Do6MjOnbsiEmTJuV7oxwiIqLyxpAnIiIyUDwmT0REZKAY8kRERAaKIU9ERGSgGPJEREQGiiFPRERkoBjyREREBoohTwYnPT0dX3zxBby9vWFubo6qVati4MCBuHHjRnkPjahAR44cwVdffYWIiAi4u7tDpVJBpVKV97DoJcbr5MmgZGRkoE2bNti/fz+qVKmCVq1aISEhAQcPHoSLiwv279+PmjVrlvcwiXTq1q0b1qxZo1XOj2kqLu7Jk0GZPHky9u/fj+bNm+PChQv4/fffceDAAUyfPh2JiYkYOHBgeQ+RKF/NmzfHuHHjsHbtWty6dQtmZmblPSR6yXFPngxGVlYWXF1d8fDhQxw9ehQNGjTQqPf398fJkydx+PBhPlSIXgrm5ubIzMzknjwVG/fkyWDs2bMHDx8+hJeXl1bAA0BkZCQAYN26dWU9NCKicsGQJ4Nx4sQJAEBgYKDOenX5yZMny2xMRETliSFPBuPq1asAkO+TAdXlV65cKbMxERGVJ4Y8GYzHjx8DACwtLXXWW1lZAQBSUlLKbExEROWJIU9ERGSgGPJkMKytrQEAaWlpOutTU1MBADY2NmU2JiKi8sSQJ4NRo0YNAMD169d11qvLPTw8ymxMRETliSFPBsPf3x8AcPToUZ316nI/P78yGxMRUXliyJPBCAoKgp2dHS5evIjjx49r1S9fvhwAEB4eXsYjIyIqHwx5MhimpqZ4//33AQDDhg1TjsEDwLfffouTJ08iODiYd7sjogqDt7Ulg5KRkYGQkBAcOHBAeUDNlStXcODAAT6ghl54GzZswKRJk5T/Hzx4ECKCpk2bKmXjxo1DWFhYeQyPXkKVynsARKXJ3NwcO3bswJQpU/Drr79i9erVcHR0RP/+/TFp0qR8b5RD9CJITEzEgQMHtMqfLktMTCzLIdFLjnvyREREBorH5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5KlMJSQkQKVS5ftXuXLlQvsPGTIEr7zyCszMzODs7IzmzZtj2rRpRR5LUlISRowYAQ8PD5iZmcHDwwMjR45EcnKyzvYnTpxA69atYW5ujmrVquHLL79EXl6ezra//fYbVCoVtmzZUuRx0cvl//7v/5Ttd/LkyXr1iY+Ph4WFBVQqFUJDQ4s13+vXr2PAgAGoWrUqzM3N4e3tjfHjxyMjI0Nn+x07dqBhw4YwMzNDzZo18cMPP+Q77a+++gomJiY4depUscZGLxAhKkOXL18WAOLm5ibR0dFafx988EG+fTdu3CiWlpaiUqmkYcOG0rt3b2nfvr1UrlxZvLy8ijSOxMREqVWrlgCQmjVrSlRUlPj6+goA8fb2lvv372u0f/jwoTg7O4uZmZmEh4dLnTp1BIBMmTJFa9opKSlSrVo16datW5HGRC+fxMREcXZ2FpVKJQBk0qRJevULCQlR+rRr167I842PjxdnZ2cBIPXr15eoqCipWbOmAJCgoCDJyMjQaH/p0iUxMzMTGxsb6datm1SvXl0AyNKlS7Wmfe3aNbGyspKRI0cWeVz04mHIU5lSh3xwcHCR+p09e1bMzc3FxcVF9uzZo1GXm5srhw4dKtL0+vXrJwAkIiJCsrOzlfLhw4cLAImOjtZoP3XqVAEgv/32m4iIpKenS/369cXe3l6ysrI02sbExIiFhYVcvny5SGOil88bb7whFhYW8uabb+od8j/99JMAkMGDBxc75IOCggSAxpfi7Oxs6d69uwCQ8ePHa7QfOnSoAJB9+/aJiMj9+/fF1dVVfH19taYdFRUllStXlocPHxZ5XPTiYchTmSpuyL/++usCQDZs2FDiMdy8eVOMjIzE1NRUbt++rVGXkZEhLi4uYmxsLHfu3FHK+/btKxYWFpKXl6eU/fvf/xYAEh8fr5SdP39eTE1NZcKECSUeJ73Ytm7dKgBk8uTJMn78eL1C/vbt2+Lg4CDt27eXHTt2FCvkDxw4IADE1dVVa4/99u3bYmJiIg4ODhpfXlu0aCF16tTRaDt48GAxMjKSzMxMpWz79u0CQJYsWVKkMdGLi8fk6YV37do1bNmyBTVr1kSnTp1KPL3NmzcjLy8PrVq1gpubm0admZkZwsPDkZubi40bNyrlSUlJsLOzg0qlUsocHByUOrXhw4fD3d0dMTExJR4nvbjS0tIwZMgQ1KtXDx999JHe/UaMGIH09PQCj4cXZsOGDQCePDLZzMxMo87NzQ2tWrVCUlIS/vrrL6U8KSlJ2V7VHBwckJeXh4cPHwIAcnJyMHz4cAQFBeHNN98s9vjoxcIH1FC5uHPnDsaPH49bt27Bzs4OTZs2RZcuXWBqaqrVNi4uDnl5eWjRogVycnKwcuVK7NmzB7m5uahfvz569eql9QFWkBMnTgAAAgMDddYHBgZi4cKFOHnypFJWo0YNbN26FcnJybC3twcAnD9/XqkDgJUrV2Lr1q1Yu3YtzM3N9R4PvXy+/PJLXLp0CTt37tS5zeqyceNG/P7775g4cSJq1aqF69evF2ve+my/27dvx8mTJxESEgLgyTZ67Ngx5ObmwtjYGMCT7dfCwgIuLi4AgNmzZ+PcuXM4fPiwxpdZerkx5KlcnDt3DhMnTtQoq1GjBv744w80adJEo/zMmTMAAGtra7Rq1Qr79+/XqP/ss8+wfPlytGnTRq95X716FQDyfSKduvzKlStKWadOnTBv3jyMGTMG06ZNw6lTp7B48WI0bNgQbm5uSE9Px6hRoxAWFobw8HC9xkEvp+PHj2PGjBkYMGAAWrdurVef1NRUDB06FHXq1MHYsWNLNP/ibr9btmzBxIkTMXr0aGzfvh3r169H165dAQC3b9/GhAkTMGTIEAQEBJRofPRi4c/1VKbMzMzw3nvvIS4uDnfu3MGjR4+wb98+dOrUCVevXkWHDh00PpyA//0c/tNPP+HcuXP49ddf8eDBA5w/fx5vvPEGHjx4gO7du+PGjRt6jeHx48cAAEtLS531VlZWAICUlBSlrEuXLnjttdewYMECODo6onXr1khPT8eMGTMAAFOmTMHt27cxa9YspY+I5Hs5E72ccnNz8c4778DOzq5Il21+/vnnuHLlCn788Ue99/zzU5ztd/DgwXj11VcxceJE2NnZoXv37rC2tsa///1vAEBMTAxMTU01nmWfm5uLzMzMEo2Vyh9DnspUlSpV8MMPPyA4OBiurq6wsbFBs2bNsGHDBvTt2xfJycnKB4+a+lr0nJwczJs3D3369IGDgwO8vb3xf//3f2jcuDEePnxYouOc+li/fj3mz5+Pd999Fx9//DGOHTuGVq1a4dKlS5g2bRo++ugjeHl5IT09He+++y6sra1hYWEBX19f7Nix47mOjcrGrFmzcPjwYUybNg1OTk569Tl8+DBmz56Nt956S/n5vKyZm5tj7969mDlzJgYPHozx48fj5MmT8Pb2xp49e/Dzzz/jq6++goODA+7fv4+ePXvCwsIC5ubmaNasmXKIgF5C5X3mH5HaqVOnBIB4eHholH/44YcCQKytrTXOblf74YcflOuD9aG+zGjWrFk661evXq1cXqePzp07S40aNSQtLU1EnlyGZ2xsLBMnTpSVK1dK48aNxcrKSm7evKnX9OjFlJCQIFZWVtK6dWut7TC/s+uzs7MlICBAHB0d5e7duxp1xT27vkGDBgJA1qxZo7N+5syZAkBGjRpV6LRycnIkICBAmjRpoixTeHi4WFlZyezZs+X3338XLy8vqVatmqSmphZpnPRi4DF5emHUrl0bAHDr1i2Ncg8PDwBPjtnrOiHI09MTAHD37l295qM+US6/E5/U5er5FmTjxo1Yv349VqxYAQsLC6SmpuLHH3/Em2++iXHjxgEAAgICULNmTXz//fd63xGNXjw7duxAamoq7t69q3X+R0JCAgBgwYIF2LZtGwICAjBz5kxcv34dx48fR+XKldGzZ0+NPuo7Kx45ckTZw4+Liyt0HOqT6Epj+/3xxx9x8uRJHDhwACqVChcuXMC6devw5ZdfYvjw4QAAV1dXtGnTBr/++isGDRpU6DTpxcKQpxeG+ti7+piiWoMGDTTqn/XgwQMAT07M04e/vz8A4OjRozrr1eV+fn4FTiczMxMjRoxA+/btERERAQC4ePEisrOz0bhxY6XdK6+8AhcXF+UEQnq5nTt3DufOndNZl5CQoAT+027fvo3bt2/r7JOcnIydO3fqPX9/f3+sWbOmxNvvvXv3MG7cOLz99tto1KgRACjL9fT2qz4Rltvvy4nH5OmFsWLFCgDalwa1aNECTk5OuH37tnLZ2tPUH5DqLwOF6dixI4yMjLB7926tvf/MzEysW7cOxsbGhV6T/8033+DKlSuYM2eOVl1aWprW/42M+HZ7mfXv3x/y5AZiWn/jx48HAEyaNAkiouyRe3p65ttHfZ5Gu3btlDJ9hIWFAQDWrVundWLcnTt3sHv3bjg4OCAoKKjA6XzyySdQqVSYMmWKVt3T229qaioAcPt9SfFVozI1f/58nXtBK1euxMcffwwAGDZsmEZdpUqVMGrUKIgIhg0bhkePHil127Ztw+LFi6FSqfDuu+9q9Pvuu+9Qt25dfPLJJxrlVapUQZ8+fZCVlYWhQ4ciJydHqYuJiUFiYiLeeOMNuLq65rscV69exb///W98+OGHqFOnjlJeq1YtmJmZYdmyZcjOzgYArF69GqmpqfD19S1s9RApPvnkE9StWxffffedRnmTJk0QFBSEu3fvalyOl5OTg6FDhyI7OxsffPABTExM8p32oUOHsGDBAkyePFnjBEL1Nvrrr78qXzp++eUXjTp6yZT5WQBUoQUHBwsA8fPzk8jISImIiJC6desKAAEgH330kc5+WVlZEhoaqjzcpmvXrhIUFCTGxsYCQP71r39p9VGfDPXsfehFnjxYxMvLSwCIl5eX9OrVS+rXry8ApHbt2loPqHlWjx49pFq1apKSkqJVN2bMGAEgPj4+0rVrVzE3NxdbW1uN2+SSYdH3trZPK+zEu+joaJ33oRcRuXDhgjg5OQkAefXVV6VXr17KA2patGihdbvbp+Xl5Unjxo0lMDBQcnNzteojIyMFgDRq1Eg6deokRkZG4unpKenp6XovG704uCdPZeqdd95BZGQk0tLSsHXrVqxbtw6PHj1CREQEYmNjMXXqVJ39TExMsHHjRnz99ddwdnbGli1b8PfffyM4OBjr1q3Dp59+WqRxODs74+DBgxg+fDiysrKwatUqPHz4EB988AEOHjwIR0fHfPtu27YNK1aswDfffKPzPIB//etfGD16NO7fv49NmzahQYMG2LJlS4G/DBAVRe3atXHs2DH0798fiYmJWLVqFYyMjDBu3Dj8+eefWre7fdqCBQtw+PBhfPfddzp/gl+wYAEGDhyIixcvYvv27WjXrh02b97Muzi+pFQieh4IIiIiopcK9+SJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56IiMhAMeSJiIgMFEOeiIjIQDHkiYiIDBRDnoiIyEAx5ImIiAwUQ56oECqVCiqVqsA26sfd9u/fv2wGVYbUy/b0n5WVFapWrYqQkBCMHTsWp0+fLrT/l19+WXaDJiIADHmiCiEuLq7EX0K8vLwQHR2N6OhodO3aFfXr18fp06cxdepU1K9fH2+88QYePXpUeoMmohKrVN4DIKKXQ8uWLbF48WKNMhHBhg0bMHz4cPzyyy+4fv06YmNjYWJiorTp3r07mjVrBmdn5zIeMRFxT56Iik2lUqFz5844cOAAqlatip07d2Lu3Lkabezs7FC3bl2GPFE5YMgTlYHNmzcjLCwMLi4uMDMzQ82aNTFq1Cjcv39fq+2tW7cwdepUBAcHo1q1ajA1NUXlypURERGBQ4cO6Zy+p6cnVCoVRARz5syBv78/LC0tERAQgP79+6NNmzYAgCVLlmgcWy+t4+Surq6YOHEiAGD27Nkadfkdk8/KysIPP/yAxo0bw8nJCZaWlvD09ETnzp3x22+/ac0jJycHc+fORfPmzWFrawsLCwsEBARg5syZyMnJ0Wp//PhxxMTEoGHDhhrrfejQobh586bO5Th16hTeeOMN1KxZE+bm5nBxcUFAQABGjhyJW7duabU/e/Ys+vfvj+rVq8PMzAxubm7o3bt3gecoEJUpIaICAZDC3iqLFi0SABIdHa1VN3bsWAEgpqamEhQUJJGRkVK7dm0BIF5eXnL79m2N9nPnzhUAUqdOHenYsaNERUVJgwYNBICYmJjIli1btObh4eEhAGTw4MFiYmIioaGh0qtXL+nevbvMnz9fOnTooMwvOjpa+Vu1alWhy1/Qsj3t0aNHYmRkJADk2rVrWv3Hjx+v0T4yMlIAiI2NjXTq1El69+4trVq1Ejs7OwkODtZom5aWJm3atBEA4ujoKO3bt5fw8HBxdXUVANKlSxfJzc3V6NOrVy+pVKmSBAYGSrdu3aRbt27i6ekpAKRKlSpy48YNjfaHDx8Wc3NzASB+fn4SFRUlnTt3Fh8fHwEgO3bs0Gi/atUqMTMzEwASEBAgkZGR0rRpU1GpVGJpaSk7d+4sdN0SPW8MeaJClCTkly1bJgCkfv36Eh8fr5Tn5eXJF198IQCkV69eGn1Onjwpp06d0prH5s2bxdTUVLy8vCQvL0+jTh3yzs7OOvvu2LFDr6AuyrLpUqtWLQGg8UVEV8hfunRJAIiHh4fcu3dPYxrp6emyd+9ejbKhQ4cq6yo5OVkpf/TokXTq1EkAyNy5czX6bN++XesLVG5urkyYMEEAyIABAzTq3nrrLQEg33zzjdZynT17Vm7evKn8//Lly2JlZSXW1tYSGxur0XbTpk1iYmIi1atXl8zMTF2riajMMOSJCqEOeX3+ng1Cf39/ASB///231nTz8vIkICBAjI2NJTExUa+x9OvXTwDIyZMnNcrVIT9t2jSd/coq5Js1ayYA5LffftPq/3TIHzhwQABIt27dCp3mnTt3lNBMS0vTqr9165aYmpqKn5+fXssjIlKtWjVxcnLSKHv99dcFgBw/frzQ/iNGjBAAMmfOHJ31H3zwgQCQlStX6j0moueBZ9cT6Sk6Ojrfun/++Qd79uzRKLt79y5OnDiB2rVro379+lp9VCoVgoKCcPz4cRw5cgQdOnRQ6jIzM7F582YcPHgQiYmJyMrKAgD8/fffAID4+Hi8+uqrWtPs0qVLsZattIgIABR6X4G6devCysoKGzZswLRp09CvXz9UrVpVZ9u4uDhkZ2ejY8eOsLCw0KqvXLkyateujb///hvp6ekabe7fv4+1a9fi1KlTSE5ORm5uLgAgOzsb9+/fx4MHD+Do6AgAaNiwITZt2oRhw4Zh8uTJaNmyJSpV0v0RuXXrVgBARESEzvpWrVph9uzZOHjwILp3717guiB6nhjyRHp69vKxZ+ueDfmEhAQATwK5sNC7d++e8u+///4bXbp0UfrrkpKSorO8Ro0aBc7neVMvhzo482Nra4v58+dj8ODBiImJQUxMDLy9vdGmTRu8+eabCAoKUtqq18P8+fMxf/78Aqf74MEDVKtWDQCwdOlSDB48GI8fP863fUpKijLWjz76CH/99Rfi4uLQpk0bWFtbo3nz5ggLC0P//v1hZ2enNSb1vPLz9OtKVB4Y8kTPSV5eHoAne5pP76Xr4uHhAeDJnnBUVBQSEhIwZMgQDBkyBDVr1oS1tTVUKhU+/fRTTJkyRdljfpa5uXnpLkQRPHr0CJcuXQIA+Pj4FNq+T58+CA0NxZo1a7B161bs3LkT8+bNw7x58zBq1ChMnz4dwP/WY0BAAPz9/QucppmZGQDgypUryo1/Zs6cibCwMFSrVk3Zy2/RogX27dunsR5tbW2xfft27NmzB+vWrUNcXBy2b9+O2NhYTJkyBbt370bt2rU1xlTQrzsA0LRp00LXA9HzxJAnek7c3d0BAM7OzgX+CvC0c+fO4dy5c2jUqJHW9eYAlBB9ES1btgwiAm9v73x/en+Wi4sLBg0ahEGDBkFEsGXLFvTq1QvffvstBg4cCF9fX2U9tmzZEnPmzNFruhs3bkRWVhbGjBmDESNGaNXntx5VKhVatmyJli1bAnhyyGXkyJFYunQpPvvsMyxbtgzAk9f24sWLmD59OpycnPQaE1F54HXyRM+Ju7s76tatizNnzuDChQt69UlKSlL66qqLjY0t1lhMTU0BQOf15KXh7t27+OKLLwBAZ6jqQ6VSoWPHjggLCwMA5VrzNm3awNjYGOvXr0d2drZe0ypoPe7atQt37tzRazqurq7K9f2nTp1Sytu3bw8AWLVqlV7TISovDHmi52jcuHHIy8tDjx49cPz4ca36+/fvaxxnrlWrFoyMjLB9+3bEx8cr5RkZGRgyZAgePHhQrHGo96zPnz9frP75ERFs3LgRTZs2xa1bt9C2bVsMHjy40H7Hjh3DypUrlRMK1R48eIADBw4AAKpXrw7gyXHvgQMHIiEhAX369NEZ0P/88w9WrFih/N/b2xsA8PPPPyM1NVUpv3HjBoYMGaJzTD/++CMuX76sVb5x40aN8QDA6NGjYWFhgTFjxmDlypVafTIzM7F8+XJcv35d9wogKiP8uZ7oOerbty9Onz6Nf//732jYsCECAgLg5eUFEcHFixdx8uRJWFtb45133gHwZM/x7bffxvz58+Hv74+2bdvCwsICu3fvRm5uLvr376/3T/9P8/T0hJ+fHw4fPowmTZrA19cXxsbG6NKli95n5P/111/Kce6srCzcv38fR48eVU4ue/PNN/H999/ne0b6065cuYIePXrAzs4OjRo1QuXKlZGcnIxdu3YhJSUF4eHhaN68udJ+1qxZSEhIwIoVK7B582YEBASgRo0aSE1NxZkzZ/DPP/+ga9eu6NGjB4AnVxn4+vri8OHDqFWrFoKCgpCRkYEdO3YgICAALVq0wN69ezXG9OOPP+K9996Dj48P6tWrh0qVKuHcuXM4ceIEzM3NlV8qgCdfxpYuXYq+ffuiR48eqFWrFurVqwcrKyvcuHEDR48eRWpqKo4dO6bz1wSiMlN+V+8RvRxQwjveiYjs3LlTevbsKVWrVhUTExNxcnISPz8/ef/997XujJaTkyPTp08XHx8fMTc3Fzc3N+nXr58kJCTI+PHjBYAsWrRIo4/6OvmCxMfHS7du3cTJyUm5M92zd6EraNme/rOwsJAqVapI69atJSYmRucNeJ7t//S8bt26JZMnT5a2bduKu7u7mJqaipubmwQFBcnChQslKytLazo5OTmyZMkSadu2rTg6OoqJiYlUrVpVmjdvLhMmTJDz589rtH/w4IG899574unpKWZmZlKzZk0ZO3aspKamSnBwsACQy5cvK+3Xrl0rAwcOFF9fX7G3txdLS0vx9vaWQYMGyblz53Qu2z///CNDhw6V2rVri7m5udjY2EidOnWkd+/esmzZMt4Mh8qdSiSf03SJiIjopcZj8kRERAaKIU9ERGSgGPJEREQGiiFPRERkoBjyREREBoohT0REZKAY8kRERAaKIU9ERGSgGPJEREQGiiFPRERkoBjyREREBoohT0REZKAY8kRERAaKIU9ERGSgGPJEREQGiiFPRERkoBjyREREBoohT0REZKD+Hzz4PH/M4kcVAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.bar(class_counts.index, class_counts)\n",
+    "ax.set_xticks([0, 1])\n",
+    "ax.set_xticklabels(class_percentages.index.astype(str) + '\\n' + ' ' +\n",
+    "                   class_percentages.round(0).astype(str) + '%')\n",
+    "ax.set_ylabel('Count')\n",
+    "ax.set_xlabel('Heart Disease')\n",
+    "ax.set_title('Heart Disease class distribution\\nwhere 1 means presence of heart disease',\n",
+    "              fontsize = 10)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The code above can be easily generalized to handle multiple classes, and we invite you to give it a try, in consulation with your mentor."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Side-Bar: Balanced and Imbalanced Classes\n",
+    "For a binary classification problem (two classes), the problem is called *balanced* if the number of elements of each class is about the same--in other words, each class would have a size that is about 50% of the total number of elements in the dataset. In this particular case study, one would say that this problem is slightly imbalanced, since the difference in the percentages is about 10%. When there is a imbalance among the classes in a binary classification problem, one usually refers to them as the *minority class*, and the *majority class*.\n",
+    "\n",
+    "In practice, *Imbalanced Classification Problems* (ICP) are very common in situations where one is modeling events that are not common, and thus these events would be instances of the *minority* class. Examples of these problems include: study of diseases such as Cancer, study of processes such as fraud, and--in general--the study of rare anomalies within a system. It is common to find instances of these problems where the difference in the percentages is 80% or more.\n",
+    "\n",
+    "There are two important challenges posed by ICPs:\n",
+    "\n",
+    "- The difference in the size of the classes is *inherent* to the problem under study. This means that one cannot pave this difference by adding more elements to the minority class.\n",
+    "\n",
+    "- Classification algorithms are usually negatively affected by the lack of sufficient samples of the minority class, in that the models built with them are practically unable to differentiate the minority class from the majority class, where the former is the one of interest. For instance, imagine a model built to compute the likelihod of a patient developing Cancer that nearly always predicts a small likelihood for this class (meaning, that the model predicts NO Cancer, when it should have predicted Cancer in some cases).\n",
+    "\n",
+    "Since this particular case study deals with a slight imbalance among the classes, we might be able to build useful models with the given dataset--without introducing additional interventions. One general approach to deal with ICP is by either generating sythetic data (a.k.a. *oversampling*), or by generating a set of smaller \"majority classes\" by taking chunks from the original majority class (a.k.a. *undersampling*). In general, these approaches are collectively referred to as *resampling*.\n",
+    "\n",
+    "We will not practice these concepts in this case study, but you might have the opportinity to do so in your capstone projects. Discuss this possibility with your mentor if/when applicable.\n",
+    "\n",
+    "Finally, the concepts discussed above can be easily generalized to ICPs with a number of classes greater than 2 (*Imbalanced Multi-Class Classification Problems*--IMCP)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "bGHuU_GXHumg"
+   },
+   "source": [
+    "<div class=\"span5 alert alert-info\">\n",
+    "<h3>Checkup Exercise Set I</h3>\n",
+    "\n",
+    "<ul>\n",
+    "  <li> <b>Exercise:</b> Create a scatter plot of Blood Pressure vs. Cholesterol Level\n",
+    "  <li> <b>Exercise:</b> Color the points differently by the Presence of Heart Disease\n",
+    "</ul>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 912.042x750 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.relplot(x=\"resting_BP_mm_Hg\", y=\"cholesterol_mg_dl\", \n",
+    "            data=dflog, kind=\"scatter\", \n",
+    "            hue='heart_disease')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "vyozMZQ4HunB"
+   },
+   "source": [
+    "#### Optional: Building a Logistic Regression Model with Only Two Features"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We want to demonstrate a simple case where $X$ has only two dimensions and therefore we can plot the classification results in an x-y plot. The utility function we provided will shade the classifier results for the two target classes, on a plot of the two $X$ features. To do this, we'll choose just two of the features of the heart disease data.\n",
+    "\n",
+    "Recall our features are:\n",
+    "```\n",
+    "age_yr\n",
+    "resting_BP_mm_Hg\n",
+    "choleterol_mg_dl\n",
+    "fasting_blood_sugar_high\n",
+    "max_HR\n",
+    "exercise_angina\n",
+    "ST_depresssion_exercise\n",
+    "number_vessels_involved\n",
+    "heart_disease\n",
+    "sex_M_F_0\n",
+    "sex_M_F_1\n",
+    "chest_pain_value_1\n",
+    "chest_pain_value_2\n",
+    "chest_pain_value_3\n",
+    "chest_pain_value_4\n",
+    "ECG_value_0\n",
+    "ECG_value_1\n",
+    "ECG_value_2\n",
+    "ST_slope_peak_1\n",
+    "ST_slope_peak_2\n",
+    "ST_slope_peak_3\n",
+    "defect_diag_3\n",
+    "defect_diag_6\n",
+    "defect_diag_7\n",
+    "```\n",
+    "\n",
+    "...of which we are choosing for this example: ``cholesterol`` and ``blood pressure``."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### The model building cycle\n",
+    " \n",
+    "Now we apply the pattern that should be familiar to you:\n",
+    "\n",
+    "> (a) train/test split  \n",
+    "> (b) create an object of the class associated with the algorithm to be\n",
+    " used--in this case LogisticRegression  \n",
+    "> (c) build an actual model using the \"fit\" method from the class (applied to the training set)  \n",
+    "> (d) predict with the built model using the \"predict\" method from the class (training set and test set)  \n",
+    "> (e) compute performance metrics (in this case, accuracy) for the training and test predictions  \n",
+    "\n",
+    "consider\n",
+    "\n",
+    "> (a) how the parameters passed to train_test_split are computed \"on-the-fly\", what their types are expected to be, and what are the values of the parameters that are not passed explicitly, which will take the default values per the documentation of the method train_test_split ...  \n",
+    "\n",
+    "> The documentation can be viewed at: [sklearn.model_selection.train_test_split](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html) or you can run ``help(train_test_split)`` in a notebook cell after the module has been imported"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Xtrain, Xtest, ytrain, ytest = train_test_split(dflog[['cholesterol_mg_dl','resting_BP_mm_Hg']],\n",
+    "                                                dflog['heart_disease'],\n",
+    "                                                train_size = 0.80,\n",
+    "                                                random_state = 42)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "> (b) create an object of the class associated with the algorithm to be used--in this case LogisticRegression: also, compare the parameters passed against the expected parameters, and default parameters being used per the documentation of the constructor of class LogisticRegression\n",
+    "\n",
+    "> The documentation can be viewed at: [sklearn.linear_model.LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) or you can run ``help(LogisticRegression)`` in a notebook cell after the module has been imported"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "classifier = LogisticRegression(solver = 'liblinear', max_iter = 500, C = 1000)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "> (c) create an actual model using the \"fit\" method for the class applied to the training set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(C=1000, max_iter=500, solver=&#x27;liblinear&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(C=1000, max_iter=500, solver=&#x27;liblinear&#x27;)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "LogisticRegression(C=1000, max_iter=500, solver='liblinear')"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "classifier.fit(Xtrain, ytrain)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "> (e.1) compute performance metrics (in this case, accuracy) for the training and test predictions... notice how accuracy_score receives the result from classifier.predict(Xtrain), and compares it with ytrain to produce the training accuracy \n",
+    "\n",
+    "> the documentation can be viewed at: [sklearn.metrics.accuracy_score](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html) or you can run ``help(accuracy_score)`` in a notebook cell after the module has been imported"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy on training data: 0.61\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'Accuracy on training data: {accuracy_score(classifier.predict(Xtrain), ytrain):.2f}')\n",
+    "#classifier.predict(Xtrain)=y_true\n",
+    "#ytrain=y_pred\n",
+    "#f and 2F are for string output"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "> (e.2) compute performance metrics (in this case, accuracy) for the training and test predictions... notice how accuracy_score receives the result from classifier.predict(Xtest), and compares it with ytest to produce the testing accuracy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy on test data: 0.59\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f'Accuracy on test data: {accuracy_score(classifier.predict(Xtest), ytest):.2f}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "as mentioned above, we can now see graphically how the model is differentiating elements of both classes after being built with only two features (Cholesterol Level, and Resting Blood Pressure)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure()\n",
+    "ax = plt.gca()\n",
+    "ax.set_ylabel('Resting blood pressure (mm Hg)')\n",
+    "ax.set_xlabel('Cholesterol level (mg/dl)')\n",
+    "ax.set_title('Computed Decision Boundary:\\n ' +\n",
+    "             'Cholesterol Level (mg/dl) VS Resting Blood Pressure (mm Hg)' +\n",
+    "             '\\n Red: Heart Disease | Blue: No Heart Disease' +\n",
+    "             '\\n Circles: Training Set | Squares: Testing Set\\n',\n",
+    "            fontsize = 10)\n",
+    "_ = points_plot(ax, Xtrain, Xtest, ytrain, ytest, classifier, alpha = 0.2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can (and should) use sklearn's classification_report() function to see more details about what the classifier is actually doing.  You should be familiar with these additional metrics. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Classification Report for Training Data\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.61      0.78      0.68       117\n",
+      "           1       0.61      0.40      0.48        99\n",
+      "\n",
+      "    accuracy                           0.61       216\n",
+      "   macro avg       0.61      0.59      0.58       216\n",
+      "weighted avg       0.61      0.61      0.59       216\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Classification Report for Training Data\")\n",
+    "print(classification_report(ytrain, classifier.predict(Xtrain)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Classification Report for Test Data\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.63      0.82      0.71        33\n",
+      "           1       0.45      0.24      0.31        21\n",
+      "\n",
+      "    accuracy                           0.59        54\n",
+      "   macro avg       0.54      0.53      0.51        54\n",
+      "weighted avg       0.56      0.59      0.56        54\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Classification Report for Test Data\")\n",
+    "print(classification_report(ytest, classifier.predict(Xtest)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Some Comments on this Result\n",
+    "\n",
+    "In the figure, class 0 (no heart disease) is shaded red, and class 1 (heart disease) is shaded blue.  The train labels are plotted as circles, using the same color scheme, while the test data are plotted as squares.  Some points that are evident for this simple classifier:\n",
+    "\n",
+    "- The classifier tends to suggest heart disease as either blood pressure or choleterol increase.  This seems intuitively correct.\n",
+    "- The classifier isn't very good!  The accuracy on the training data is only 61%, and the accuracy on the testing data is barely better than random chance (59%)--where random chance if 50%.  This isn't surprising since we are using only two features.\n",
+    "- Moreover, notice that the classification report shows that the model performs poorly when trying to recognize inputs that belong to class 1 (*the class of interest*), which is indicated by the poor values of precision, recall, and f1-score for class 1--for the training set and test set.\n",
+    "- The \"decision boundary\" is a line. As we add more features, we won't be able to represent the boundary this way. The boundary becomes what is called a hyperplane, which is the generalization of a line into 3 or more dimensions. But here, a patient measured with a combination of cholesterol and blood pressure to the right of the line (in the blue region) would be classified as likely having heart disease.\n",
+    "\n",
+    "We now move on to investigate how to get a better classifier that is optimized on the data and will perform well in the future."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#ask about above results. Doesn't imput state the opposite shaded classes?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Building a Logistic Regression Model with all Features"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "After having seen the results of a model built with only two features, we are now going to turn our attention to building a full-fledged model using all the features, and will compare this model with the previous one, with respect to several performance metrics. \n",
+    "\n",
+    "\n",
+    "<b>We will follow the same pattern we used before, only this time we are explicitly defining two objects ``X`` and ``y``, which were defined implicitly when we built the first model</b>. \n",
+    "\n",
+    "    \n",
+    "Thus, pattern defined above can be expanded as follows:\n",
+    "\n",
+    "> (a) Define ``X`` and ``y``  \n",
+    "\n",
+    "> (b) Perform train/test split on ``(X, y)``  \n",
+    "\n",
+    "> (c) Create an object of the class associated with the algorithm to be used--in this case ``LogisticRegression``  \n",
+    "\n",
+    "> (d) Build an actual model using the``fit`` method from the class associated with the algorithm \n",
+    "to be used (using the training set)  \n",
+    "\n",
+    "> (e) Predict with the built model using the``predict`` method from the class (training set and test set)  \n",
+    "\n",
+    "> (f) Compute performance metrics (in this case, accuracy) for the training and test predictions. The metrics to be used and their interpretation will depend on the application at hand  \n",
+    "\n",
+    "> (g) Determine if the model can be improved--repeat as needed with additional algorithms and/or by applying hyper-parameter tuning  \n",
+    "\n",
+    "> (h) Compare and Combine all best models as needed"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### (a) Define ``X`` and ``y``  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "X contains the independent variables--a.k.a. features, but not the target. X is usually referred to as the \"Design Matrix\", in this case it will be represented as a data frame.\n",
+    "\n",
+    "The following is a very convenient way to express this using Pandas--indeed, the .drop(...), means \"remove the column 'heart_disease' ...\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "X:  <class 'pandas.core.frame.DataFrame'> (270, 23)\n"
+     ]
+    }
+   ],
+   "source": [
+    "X = dflog.drop(columns = ['heart_disease'])\n",
+    "print(\"X: \", type(X), X.shape)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Notice that ``X`` is a ``pandas`` DataFrame with 270 rows and 23 columns (a.k.a. a matrix)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Remember that the form of data we will use always is\n",
+    "\n",
+    "<img src=\"images/dataform.jpg\" alt=\"data form\" style=\"width: 600px;\"/>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "y is the dependent variable, sometimes known as the response, target, or labels. In this case, it is the presence or absence of heart disease."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "y:  <class 'pandas.core.series.Series'> (270,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "y = dflog['heart_disease']\n",
+    "print(\"y: \", type(y), y.shape)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "notice that, by construction, y will have value True (1) in positions where  the value for the heart_disease column of the dataframe is 1, otherwise it will be False (0)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So the \"response\" $y$ is a plain array of 0s and 1s for binary classification. \n",
+    "\n",
+    "`y = [1,1,0,0,0,1,0,1,0....]`.\n",
+    "\n",
+    "Sometimes we will also see -1 and +1 instead. There are also *multiclass* classifiers that can assign an observation to one of $K > 2$ classes and the labe may then be an integer, but we will not be discussing those here."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Exactly as expected, $y$, is a pandas Series, aka a vector of 270 components. Moreover, we invite you to check that the following relationship holds between $X$ and $y$:\n",
+    "\n",
+    "1. They have the same number of rows\n",
+    "2. For a given row $i$ of matrix $X$, the label that corresponds to that data point is exactly the value of vector $y$ at that row\n",
+    "3. The number of rows of $X$ is the number of data points in the dataset\n",
+    "4. The number of columns of $X$ is the number of features of each data point in the dataset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "and ... we can check that the columns contain all the features but not the target in this case, we can do it visually, but think about how to do it in Python, for cases were the number of columns is too large to check visually:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['age_yr',\n",
+       " 'resting_BP_mm_Hg',\n",
+       " 'cholesterol_mg_dl',\n",
+       " 'fasting_blood_sugar_high',\n",
+       " 'max_HR',\n",
+       " 'exercise_angina',\n",
+       " 'ST_depresssion_exercise',\n",
+       " 'number_vessels_involved',\n",
+       " 'sex_M_F_0',\n",
+       " 'sex_M_F_1',\n",
+       " 'chest_pain_value_1',\n",
+       " 'chest_pain_value_2',\n",
+       " 'chest_pain_value_3',\n",
+       " 'chest_pain_value_4',\n",
+       " 'ECG_value_0',\n",
+       " 'ECG_value_1',\n",
+       " 'ECG_value_2',\n",
+       " 'ST_slope_peak_1',\n",
+       " 'ST_slope_peak_2',\n",
+       " 'ST_slope_peak_3',\n",
+       " 'defect_diag_3',\n",
+       " 'defect_diag_6',\n",
+       " 'defect_diag_7']"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "list(X.columns)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "***All classification problems can be represented, as shown above, with a matrix $X$ and a vector  $y$, satisfying the conditions 1-4 above***. When the number of unique values of $y$ is 2, the problem is called a binary classification problem. When this number is greater than 2, the problem is called a multi-class classification problem. In this Case Study we are dealing with the former."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### (b) Perform train/test split on $(X, y)$"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "jupyter": {
+     "outputs_hidden": true
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Training split has  202  rows\n",
+      " and the corresponding labels have an equal number of values. (202)\n",
+      "Test split has  68  rows\n",
+      " and the corresponding labels have an equal number of values. (68)\n"
+     ]
+    }
+   ],
+   "source": [
+    "Xlr, Xtestlr, ylr, ytestlr = train_test_split(X, y, random_state = 2)\n",
+    "print('Training split has ', Xlr.shape[0], ' rows\\n',\n",
+    "      'and the corresponding labels have an equal number of values.', \n",
+    "      '(' + str(len(ylr))+ ')')\n",
+    "print('Test split has ', Xtestlr.shape[0], ' rows\\n',\n",
+    "      'and the corresponding labels have an equal number of values.', \n",
+    "      '(' + str(len(ytestlr)) + ')')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We notice the following:\n",
+    "\n",
+    "- This time we did not include the split parameter in the call to ``train_test_split``, and thus it computed a 75% / 25% split of the data as we verified above. This is the deafult split as per the documentation of this method (*).\n",
+    "\n",
+    "\n",
+    "- We used a different value for ``random_state`` to indicate that if we were to call ``train_test_split`` with the same arguments ``X`` and ``y``, the function would return the same split as the first time--which would be useful in cases where identical splits need to be used. Notice that this is not guaranteed to happen across notebooks; but if this were the case, we could persist the split (that is, saving it to the local storage--e.g., hard disk) ``Xlr, Xtestlr, ylr, ytestlr`` (e.g., using Pickle or other methods (+)).\n",
+    "\n",
+    "\n",
+    "- When we built our first model, we talked about the importance of exploring the proportion among the classes in terms of their sizes, but we did not talk about what could happen to that proportion after the train/test split is executed. In our case, we saw before that the proportion between classes ``0`` (no heart disease), and ``1`` (heart disease) is about 56% for class ``0``, and 44% for class ``1``--and thus, this is a slightly imbalanced classification problem, where class ``1`` is the minority class. So, it makes sense to ask whether this proportion is preserved in ``ylr, ytestlr``.\n",
+    "\n",
+    "\n",
+    "The code below investigates this question. \n",
+    "\n",
+    "---\n",
+    "\n",
+    "\n",
+    "(*) [sklearn.model_selection.train_test_split](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html)\n",
+    "\n",
+    "(+) [docs.python.org pickle](https://docs.python.org/3/library/pickle.html)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here we define a function to plot the class ratios between two splits of the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "def plot_y_ratios(y, ytest):\n",
+    "    fig, ax = plt.subplots(2, sharex = True)\n",
+    "    ax[0].bar(x = [0, 1], height = [y[y == 0].count(), \n",
+    "                                    y[y == 1].count()])\n",
+    "    ax[0].set_ylabel('train', fontsize = 8)\n",
+    "    ax[0].set_ylim(0, 125)\n",
+    "    ax[1].bar(x = [0, 1], height = [ytest[ytest == 0].count(),\n",
+    "                                    ytest[ytest == 1].count()])\n",
+    "    ax[1].set_ylabel('test', fontsize = 8)\n",
+    "    ax[1].set_ylim(0, 125)\n",
+    "    ax[1].set_xticks([0, 1])\n",
+    "    ax[0].tick_params(which = 'both', labelsize = 8)\n",
+    "    ax[1].tick_params(which = 'both', labelsize = 8)\n",
+    "    ax[1].set_xlabel('heart disease\\n(0 = no disease)', fontsize = 8)\n",
+    "    ax[0].set_title('% heart disease (where 1 means presence of heart diseases):\\n' +\n",
+    "                    'train: ' + str(round(100 * (y[y ==1].count()/y.shape[0]), 0)) +\n",
+    "                    '\\ntest: ' + str(round(100 * (ytest[ytest ==1].count()/ytest.shape[0]), 0)),\n",
+    "                   fontsize = 10)\n",
+    "    plt.show() "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we can inpsect the train response data (ylr) compared to the test response data (ytestlr)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_y_ratios(ylr, ytestlr)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We see that ```ytestlr``` has a lower percentage of heart disease (38%), compared to the percentage in the original dataset (44%). Thus, the way we used train/test split made the imbalance (however mild) a little worse. As discussed before, we would like to perform a split preserving the original proportions among the classes, so we do not have to worry about the possibility of getting poor results due to this fact.\n",
+    "\n",
+    "It turns out that ```train_test_split``` provides a way to compute splits that try to preserve (as much as it might be possible) the proportions among the classes in the original dataset. More specifically, the *stratify* parameter takes an *array-like* object that describes all the classes (*). Thus, we can use the target as this parameter. Below we specify to stratify according to ``y``, and then inspect the resulting split. Notice that this method works for multiple classes as well (i.e., number of classes greater than 2).\n",
+    "\n",
+    "---\n",
+    "(*) [sklearn.model_selection.train_test_split](https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Xlrstrat, Xtestlrstrat, ylrstrat, ytestlrstrat = train_test_split(X, y, \n",
+    "                                                                  random_state = 2, \n",
+    "                                                                  stratify = y)\n",
+    "plot_y_ratios(ylrstrat, ytestlrstrat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nearly perfect!  As noted earlier, in a more complete project you should do EDA on the X-variables as well, and consider if the distributions there are of a concern, before moving on to modeling. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<b> To recap ... </b>, the binary classification problem has been represented as:\n",
+    "\n",
+    "- A *design matrix* $X$, with as many rows as there are rows in the dataset, and\n",
+    "as many columns as there are features in the dataset\n",
+    "\n",
+    "\n",
+    "- A *target vector* $y$, with as many elements as there are rows in the dataset, and it is\n",
+    "such that the i-th value of $y$ is the value of the target associated with \n",
+    "row i of $X$.\n",
+    "\n",
+    "A very important fact to consider is this:\n",
+    "\n",
+    "*Any <b>supervised</b> problem can be represented by a pair $(X, y)$, where $X$ is a\n",
+    "design matrix, and $y$ is a target vector*.\n",
+    "\n",
+    "- The values in $y$ may be *imbalanced*, and in general it's good practice to ensure the data splits have similar distributions of the target.\n",
+    "\n",
+    "Morevover: \n",
+    "\n",
+    "- When the target vector takes non-categorical values, ``(X, y)`` represents a *<b>regression</b>* problem.\n",
+    "\n",
+    "- When the target vector takes categorical values, ``(X, y)`` represents a *<b>classification</b>* problem.\n",
+    "\n",
+    "$Note$: there are *unsupervised* problems which are represented by a design matrix $X$ but there is no corresponding $y$. We don't further address *unsupervised* problems in this Case Study."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We are ready to continue building a model."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### (c) Create an object of the class associated with the algorithm to be used--in this case LogisticRegression\n",
+    "\n",
+    "Construct the LogisticRegression object, setting some basic parameters (more on this later). See (*) for more details, and discuss with your mentor the meaning of each parameter, and the implications associated with using default values\n",
+    "\n",
+    "---\n",
+    " (*) [sklearn.linear_model.LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "clf = LogisticRegression(solver = 'newton-cg', max_iter = 500)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### (d) Build an actual model using the ``fit `` method from the class associated with the algorithm to be used (using the training set)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(max_iter=500, solver=&#x27;newton-cg&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(max_iter=500, solver=&#x27;newton-cg&#x27;)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "LogisticRegression(max_iter=500, solver='newton-cg')"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "clf.fit(Xlrstrat, ylrstrat) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### (e) Predict with the built model using the ``predict`` method from the class (training set and test set)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_predict_test = clf.predict(Xtestlrstrat)\n",
+    "y_predict_training = clf.predict(Xlrstrat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### (f) Compute performance metrics (in this case, accuracy) for the training and test predictions. In general, the metrics to be used and their interpretation will depend on the application at hand"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[Test] Accuracy score (y_predict_test, ytestlrstrat): 0.81\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"[Test] Accuracy score (y_predict_test, ytestlrstrat):\",\n",
+    "      f'{accuracy_score(y_predict_test, ytestlrstrat):.2f}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note the order in which the parameters should be passed according to the documentation ... although in this case there is no difference since it is a one-to-one comparison\n",
+    "\n",
+    "ref: [sklearn.metrics.accuracy_score](http://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html)\n",
+    "\n",
+    "Re-compute with switched order to confirm what we expect"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[Test] Accuracy score: (ytestlrstrat, y_predict_test) [**note reversed order] 0.81\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"[Test] Accuracy score: (ytestlrstrat, y_predict_test) [**note reversed order]\", \n",
+    "      f'{accuracy_score(ytestlrstrat, y_predict_test):.2f}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And compute the metric on the training data:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[Training] Accuracy score: (ylrstrat, y_predict_training) 0.89\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"[Training] Accuracy score: (ylrstrat, y_predict_training)\", \n",
+    "      f'{accuracy_score(ylrstrat, y_predict_training):.2f}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### (g) Determine if the model can be improved--repeat as needed with additional algorithms and/or by applying hyper-parameter tuning"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "It is common practice to show--when applicable--performance metrics for both the training set and the test set. This means that the model is fitted with the training set, and once fitted, predictions are generated using the training set and the test set, and the corresponding performance metrics are shown (as above), and analyzed. \n",
+    "\n",
+    "\n",
+    "*NOTE*: you might want to discuss with your mentor examples of cases when this comparison would *not* be applicable. \n",
+    "\n",
+    "\n",
+    "*Hint*: consider tree-based algorithms such as Random Forest Classifiers. (*)\n",
+    "\n",
+    "Since the model's **training accuracy** (``0.89``) is pretty good (meaning, close to 1--or 100%), then one says there is only a small \"bias\" in the model.\n",
+    "\n",
+    "Since the model's **test accuracy** (``0.81``) is decently close to the training accuracy, we would say that there is a small \"variance\" between the training accuracy and the test accuracy. This is an indication that the model will \"generalize well\", which means that the model will be well-behaved when new data is presented to it.\n",
+    "\n",
+    "Since the gap between training and testing accuracy is about 8%, one might say that the model is slightly over-fitting the data. Thus, in general, one says that a model is *over-fitting* (or just overfitting), when there is an important gap between its training performance and its test performance.\n",
+    "\n",
+    "Notice two points of nuance in the definition of overfitting: (a) the quantification of *important* depends on the application; and (b) the comparison of training versus test performance can be done (in many cases) across mulriple performance metrics \n",
+    "\n",
+    "These properties are important and desirable.\n",
+    "\n",
+    "In this particular case study, however, there are two possible avenues that we might want to investigate:\n",
+    "\n",
+    "\n",
+    "- Whether the mild imbalance in the dataset might be affecting the algorithm (and thus the model computed with it.)\n",
+    "\n",
+    "\n",
+    "- Whether the observed mild overfitting can be diminished\n",
+    "\n",
+    "\n",
+    "Below we explore the second bullet. Feel free to consult with your mentor for resources associated with exploring the first bullet.\n",
+    "\n",
+    "---\n",
+    "(*) [sklearn.ensemble.RandomForestClassifier](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Side-Bar: NEVER EVER use just Accuracy to Measure the Performance of a Classification Algorithm!\n",
+    "\n",
+    "Note however that focusing only on accuracy is not a good practice since in some cases it can be misleading. In particular, if the dataset is highly imbalanced (as defined before), then accuracy becomes a poor indicator of model performance.  For example, suppose we were given a data sample of 1000 instances, and 900 of them were class ``1``, and 100 were class ``0``.  \n",
+    "\n",
+    "If we defined a model that always predicts class ``1``, such model would have 90% accuracy! But we would be mis-classifying 100% of the class 0 samples--although 10% of the time, with respect to the whole dataset.  \n",
+    "\n",
+    "A good way to avoid this trap is by always generating a confusion matrix for a classification result.  The confusion matrix is simply a table with the true class labels on one axis, and the predicted labels on the other axis.  The counts for each combination of true vs. predicted are put in each cell of the table.  For our hypothetical case, the confusion matrix is:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img src = \"images/Confusion_Matrix.jpg\" alt = \"confusion matrix\" style=\"width: 400px;\"/>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note that the diagonal intersections of the classes are the \"correct\" predictions (i.e. Predicted 0 intersection wiht Actual 0, and Predicted 1 intersection with Actual 1), and in this case since the model never predicts 0, there are no \"correct\" predictions for that case. It is easy to see that the model isn't working well, even thought the accuracy score would be 90%.  The confusion matrix in this case provides much more information in an easy-to-interpret format.  ``sklearn`` provides the ``confusion_matrix`` and ``ConfusionMatrixDisplay`` methods to generate the results for us.  Here we apply them to the previous model results:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x11995fc5df0>"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cm = confusion_matrix(ytestlrstrat, y_predict_test, labels = clf.classes_)\n",
+    "_, ax = plt.subplots()\n",
+    "display_cm = ConfusionMatrixDisplay(confusion_matrix = cm, \n",
+    "                                    display_labels = ['no heart disease', 'heart disease'])\n",
+    "ax.set_xticks([0, 1])\n",
+    "ax.set_yticks([0, 1])\n",
+    "ax.set_xticklabels(labels = ['no heart disease', 'heart disease'], fontsize = 8)\n",
+    "ax.set_yticklabels(labels = ['no heart disease', 'heart disease'], fontsize = 8)\n",
+    "display_cm.plot(ax = ax)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note the ability to add human readable labels (as compared to just 0 or 1). From the chart we can see that while the overall accuracy was 81%, when we predict heart disease, 20% (6 of 29) of the time we are predicting a false positive, while the false negatives (predicting no disease when in fact there is heart disease) is about 18% (7 of 39). This information can be discussed with stakeholders to decide which is more important, reducing false positives or false negatives, assuming overall accuracy is acceptable. We can also use the ``classification_report`` method from earlier on this case--and notice that all the metrics in the report (precision, recall, and f1-score) can be computed from the values in the confusion matrix:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.88      0.93      0.90       112\n",
+      "           1       0.90      0.84      0.87        90\n",
+      "\n",
+      "    accuracy                           0.89       202\n",
+      "   macro avg       0.89      0.89      0.89       202\n",
+      "weighted avg       0.89      0.89      0.89       202\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(classification_report(ylrstrat, y_predict_training))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.82      0.84      0.83        38\n",
+      "           1       0.79      0.77      0.78        30\n",
+      "\n",
+      "    accuracy                           0.81        68\n",
+      "   macro avg       0.81      0.80      0.81        68\n",
+      "weighted avg       0.81      0.81      0.81        68\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(classification_report(ytestlrstrat, y_predict_test))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "When the training accuracy is good, the test accuracy is somewhat worse than the training result. In such a case, as we introduced earlier, the model is slightly \"overfitting\" the training set. When there is evidence of overfitting, one must analyze the situation and suggest the course of action, typically aimed at \"relaxing\" the model--i.e., making it less strict.  This can seem counterintuitive at first!\n",
+    "\n",
+    "Typically, the test accuracy, even when it is close to the training accuracy, tends to be smaller (worse) than the training accuracy (better).\n",
+    "\n",
+    "When the test accuracy is significally better than the training accuracy, this would justify a review of the code to see if there is a bug. In such a case, plotting the performance results with multiple (random) splits of the same data would be one way to start investigating.\n",
+    "\n",
+    "The code below shows one simple way to do it."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "#\n",
+    "# here we try multiple splits and see the effects, with the same proportion 75% train and 25% test\n",
+    "#\n",
+    "# keep lists for training accuracy, \n",
+    "#                test accuracy, \n",
+    "#                and the difference between the latter and the former\n",
+    "#\n",
+    "training_accuracy = []\n",
+    "test_accuracy = []\n",
+    "accuracy_difference = []\n",
+    "#\n",
+    "# define number of trials\n",
+    "#\n",
+    "n_splits = 25\n",
+    "#\n",
+    "# define LogisticRegression object\n",
+    "#\n",
+    "clf = LogisticRegression(solver = 'newton-cg', max_iter = 500)\n",
+    "#\n",
+    "# loop over multiple trials\n",
+    "#\n",
+    "for i in range(0, n_splits):\n",
+    "#\n",
+    "# perform a split for this iteration, \n",
+    "# using different random_state for every iteration\n",
+    "# this ensures each split is likely to be unique\n",
+    "#\n",
+    "    Xlr, Xtestlr, ylr, ytestlr = train_test_split(X, y, stratify = y, random_state = i)\n",
+    "#    \n",
+    "# fit the Classifier on the training set\n",
+    "#\n",
+    "    clf.fit(Xlr, ylr)\n",
+    "#\n",
+    "# predict the labels for the training data\n",
+    "#\n",
+    "    y_predict_training = clf.predict(Xlr)\n",
+    "#\n",
+    "# predict the labels for the test data\n",
+    "#\n",
+    "    y_predict_test = clf.predict(Xtestlr)\n",
+    "#\n",
+    "# save training set accuracy for this split\n",
+    "#\n",
+    "    tr_accuracy = accuracy_score(y_predict_training, ylr)\n",
+    "    training_accuracy.append(tr_accuracy)\n",
+    "#\n",
+    "# save test set accuracy for this split\n",
+    "#\n",
+    "    tst_accuracy = accuracy_score(y_predict_test, ytestlr)\n",
+    "    test_accuracy.append(tst_accuracy)\n",
+    "#\n",
+    "# save difference between the two acuracy values\n",
+    "#\n",
+    "    accuracy_difference.append(tst_accuracy - tr_accuracy)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The above code generates 25 unique experiments varying the train-test split indices within the original data.  Now we plot all the trials for both the training and test data, to compare the results."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.scatter(range(len(training_accuracy)),\n",
+    "           training_accuracy, \n",
+    "           color = 'blue', \n",
+    "           alpha = 0.5,\n",
+    "           label = 'Train data results')\n",
+    "ax.plot(range(len(training_accuracy)),\n",
+    "        training_accuracy, \n",
+    "        color = 'blue', \n",
+    "        linestyle = '-.',\n",
+    "        linewidth = 0.5)\n",
+    "ax.scatter(range(len(test_accuracy)),\n",
+    "           test_accuracy, \n",
+    "           color = 'red', \n",
+    "           alpha = 0.35, \n",
+    "           label = 'Test data results')\n",
+    "ax.plot(range(len(test_accuracy)),\n",
+    "        test_accuracy, \n",
+    "        color = 'red', \n",
+    "        linestyle = '-.',\n",
+    "        linewidth = 0.5)\n",
+    "ax.legend(fontsize = 8, loc = \"lower right\")\n",
+    "ax.set_ylabel('Training vs Test Accuracy')\n",
+    "ax.set_ylim(0, 1)\n",
+    "ax.set_xlabel('trial number')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note that the accuracy on the train split is relatively constant. This is generally expected since the model is given the train data to fit. On the other hand, the test results vary somewhat more. Another way to look at these results is to plot the difference between the test accuracy and the train accuracy, which is done here."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.scatter(range(len(accuracy_difference)),\n",
+    "           accuracy_difference, \n",
+    "           color = 'green', \n",
+    "           label = 'Difference in Accuracy [test - train]')\n",
+    "ax.plot([0, len(accuracy_difference)], [0, 0], 'red')\n",
+    "ax.legend(fontsize = 6)\n",
+    "ax.set_ylabel('Test/Training Accuracy Difference')\n",
+    "ax.set_ylim(-0.25, 0.25)\n",
+    "ax.set_xlabel('trial number')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this case, the test accuracy is sometimes better, but not by very much--a maximum difference of no more than 0.15 units.  We've already noted that accuracy isn't always a good measure of model performance, and shown the use of the confusion matrix. Additional performance measures are provided by sklearn in the ``classifcation_report`` method (ref: [sklearn.metrics.classification_report](http://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html), including ``precision``, ``recall``, and ``f1-score``.  Note that if desired, we could graph multiple classification performance metrics similarly to the accuracy difference plot above. We won't do a deep dive on metrics here, but below we use the ``classification_report`` method to demonstrate the additional metrics. Note that since we didn't store the intermediate models, the following outputs results from the last of the 25 trials performed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[Training Classification Report]\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.88      0.91      0.89       112\n",
+      "           1       0.88      0.84      0.86        90\n",
+      "\n",
+      "    accuracy                           0.88       202\n",
+      "   macro avg       0.88      0.88      0.88       202\n",
+      "weighted avg       0.88      0.88      0.88       202\n",
+      "\n",
+      "[Test Classification Report]\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.86      0.95      0.90        38\n",
+      "           1       0.92      0.80      0.86        30\n",
+      "\n",
+      "    accuracy                           0.88        68\n",
+      "   macro avg       0.89      0.87      0.88        68\n",
+      "weighted avg       0.89      0.88      0.88        68\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"[Training Classification Report]\")\n",
+    "print(classification_report(ylr, y_predict_training))\n",
+    "#\n",
+    "print(\"[Test Classification Report]\")\n",
+    "print(classification_report(ytestlr, y_predict_test))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With the more detailed classification report, we see that the metrics are similar for the training and test sets. If you look back at the two plots, you will notice the last points for train and test are more or less on top of each other. The [ISLR book](http://www-bcf.usc.edu/~gareth/ISL/) has explanations of the meaning of these performance metrics, and the Wikipedia entries for them are also quite good (see [Precision and Recall](https://en.wikipedia.org/wiki/Precision_and_recall))."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Logistic Regression Parameters in scikit-learn\n",
+    "\n",
+    "It's a good habit to get into to use help(object) in Python to see details of the object.  If the object is a class from a large package like scikit-learn, you generally will get a version of the documentation similar to what you might find searching the web. By using help(), you are sure to get the information for the exact version you are using.  Here, use help(LogisticRegression) to get information about this class from scikit-learn."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Help on class LogisticRegression in module sklearn.linear_model._logistic:\n",
+      "\n",
+      "class LogisticRegression(sklearn.linear_model._base.LinearClassifierMixin, sklearn.linear_model._base.SparseCoefMixin, sklearn.base.BaseEstimator)\n",
+      " |  LogisticRegression(penalty='l2', *, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=None, random_state=None, solver='lbfgs', max_iter=100, multi_class='auto', verbose=0, warm_start=False, n_jobs=None, l1_ratio=None)\n",
+      " |  \n",
+      " |  Logistic Regression (aka logit, MaxEnt) classifier.\n",
+      " |  \n",
+      " |  In the multiclass case, the training algorithm uses the one-vs-rest (OvR)\n",
+      " |  scheme if the 'multi_class' option is set to 'ovr', and uses the\n",
+      " |  cross-entropy loss if the 'multi_class' option is set to 'multinomial'.\n",
+      " |  (Currently the 'multinomial' option is supported only by the 'lbfgs',\n",
+      " |  'sag', 'saga' and 'newton-cg' solvers.)\n",
+      " |  \n",
+      " |  This class implements regularized logistic regression using the\n",
+      " |  'liblinear' library, 'newton-cg', 'sag', 'saga' and 'lbfgs' solvers. **Note\n",
+      " |  that regularization is applied by default**. It can handle both dense\n",
+      " |  and sparse input. Use C-ordered arrays or CSR matrices containing 64-bit\n",
+      " |  floats for optimal performance; any other input format will be converted\n",
+      " |  (and copied).\n",
+      " |  \n",
+      " |  The 'newton-cg', 'sag', and 'lbfgs' solvers support only L2 regularization\n",
+      " |  with primal formulation, or no regularization. The 'liblinear' solver\n",
+      " |  supports both L1 and L2 regularization, with a dual formulation only for\n",
+      " |  the L2 penalty. The Elastic-Net regularization is only supported by the\n",
+      " |  'saga' solver.\n",
+      " |  \n",
+      " |  Read more in the :ref:`User Guide <logistic_regression>`.\n",
+      " |  \n",
+      " |  Parameters\n",
+      " |  ----------\n",
+      " |  penalty : {'l1', 'l2', 'elasticnet', None}, default='l2'\n",
+      " |      Specify the norm of the penalty:\n",
+      " |  \n",
+      " |      - `None`: no penalty is added;\n",
+      " |      - `'l2'`: add a L2 penalty term and it is the default choice;\n",
+      " |      - `'l1'`: add a L1 penalty term;\n",
+      " |      - `'elasticnet'`: both L1 and L2 penalty terms are added.\n",
+      " |  \n",
+      " |      .. warning::\n",
+      " |         Some penalties may not work with some solvers. See the parameter\n",
+      " |         `solver` below, to know the compatibility between the penalty and\n",
+      " |         solver.\n",
+      " |  \n",
+      " |      .. versionadded:: 0.19\n",
+      " |         l1 penalty with SAGA solver (allowing 'multinomial' + L1)\n",
+      " |  \n",
+      " |      .. deprecated:: 1.2\n",
+      " |         The 'none' option was deprecated in version 1.2, and will be removed\n",
+      " |         in 1.4. Use `None` instead.\n",
+      " |  \n",
+      " |  dual : bool, default=False\n",
+      " |      Dual or primal formulation. Dual formulation is only implemented for\n",
+      " |      l2 penalty with liblinear solver. Prefer dual=False when\n",
+      " |      n_samples > n_features.\n",
+      " |  \n",
+      " |  tol : float, default=1e-4\n",
+      " |      Tolerance for stopping criteria.\n",
+      " |  \n",
+      " |  C : float, default=1.0\n",
+      " |      Inverse of regularization strength; must be a positive float.\n",
+      " |      Like in support vector machines, smaller values specify stronger\n",
+      " |      regularization.\n",
+      " |  \n",
+      " |  fit_intercept : bool, default=True\n",
+      " |      Specifies if a constant (a.k.a. bias or intercept) should be\n",
+      " |      added to the decision function.\n",
+      " |  \n",
+      " |  intercept_scaling : float, default=1\n",
+      " |      Useful only when the solver 'liblinear' is used\n",
+      " |      and self.fit_intercept is set to True. In this case, x becomes\n",
+      " |      [x, self.intercept_scaling],\n",
+      " |      i.e. a \"synthetic\" feature with constant value equal to\n",
+      " |      intercept_scaling is appended to the instance vector.\n",
+      " |      The intercept becomes ``intercept_scaling * synthetic_feature_weight``.\n",
+      " |  \n",
+      " |      Note! the synthetic feature weight is subject to l1/l2 regularization\n",
+      " |      as all other features.\n",
+      " |      To lessen the effect of regularization on synthetic feature weight\n",
+      " |      (and therefore on the intercept) intercept_scaling has to be increased.\n",
+      " |  \n",
+      " |  class_weight : dict or 'balanced', default=None\n",
+      " |      Weights associated with classes in the form ``{class_label: weight}``.\n",
+      " |      If not given, all classes are supposed to have weight one.\n",
+      " |  \n",
+      " |      The \"balanced\" mode uses the values of y to automatically adjust\n",
+      " |      weights inversely proportional to class frequencies in the input data\n",
+      " |      as ``n_samples / (n_classes * np.bincount(y))``.\n",
+      " |  \n",
+      " |      Note that these weights will be multiplied with sample_weight (passed\n",
+      " |      through the fit method) if sample_weight is specified.\n",
+      " |  \n",
+      " |      .. versionadded:: 0.17\n",
+      " |         *class_weight='balanced'*\n",
+      " |  \n",
+      " |  random_state : int, RandomState instance, default=None\n",
+      " |      Used when ``solver`` == 'sag', 'saga' or 'liblinear' to shuffle the\n",
+      " |      data. See :term:`Glossary <random_state>` for details.\n",
+      " |  \n",
+      " |  solver : {'lbfgs', 'liblinear', 'newton-cg', 'newton-cholesky', 'sag', 'saga'},             default='lbfgs'\n",
+      " |  \n",
+      " |      Algorithm to use in the optimization problem. Default is 'lbfgs'.\n",
+      " |      To choose a solver, you might want to consider the following aspects:\n",
+      " |  \n",
+      " |          - For small datasets, 'liblinear' is a good choice, whereas 'sag'\n",
+      " |            and 'saga' are faster for large ones;\n",
+      " |          - For multiclass problems, only 'newton-cg', 'sag', 'saga' and\n",
+      " |            'lbfgs' handle multinomial loss;\n",
+      " |          - 'liblinear' is limited to one-versus-rest schemes.\n",
+      " |          - 'newton-cholesky' is a good choice for `n_samples` >> `n_features`,\n",
+      " |            especially with one-hot encoded categorical features with rare\n",
+      " |            categories. Note that it is limited to binary classification and the\n",
+      " |            one-versus-rest reduction for multiclass classification. Be aware that\n",
+      " |            the memory usage of this solver has a quadratic dependency on\n",
+      " |            `n_features` because it explicitly computes the Hessian matrix.\n",
+      " |  \n",
+      " |      .. warning::\n",
+      " |         The choice of the algorithm depends on the penalty chosen.\n",
+      " |         Supported penalties by solver:\n",
+      " |  \n",
+      " |         - 'lbfgs'           -   ['l2', None]\n",
+      " |         - 'liblinear'       -   ['l1', 'l2']\n",
+      " |         - 'newton-cg'       -   ['l2', None]\n",
+      " |         - 'newton-cholesky' -   ['l2', None]\n",
+      " |         - 'sag'             -   ['l2', None]\n",
+      " |         - 'saga'            -   ['elasticnet', 'l1', 'l2', None]\n",
+      " |  \n",
+      " |      .. note::\n",
+      " |         'sag' and 'saga' fast convergence is only guaranteed on features\n",
+      " |         with approximately the same scale. You can preprocess the data with\n",
+      " |         a scaler from :mod:`sklearn.preprocessing`.\n",
+      " |  \n",
+      " |      .. seealso::\n",
+      " |         Refer to the User Guide for more information regarding\n",
+      " |         :class:`LogisticRegression` and more specifically the\n",
+      " |         :ref:`Table <Logistic_regression>`\n",
+      " |         summarizing solver/penalty supports.\n",
+      " |  \n",
+      " |      .. versionadded:: 0.17\n",
+      " |         Stochastic Average Gradient descent solver.\n",
+      " |      .. versionadded:: 0.19\n",
+      " |         SAGA solver.\n",
+      " |      .. versionchanged:: 0.22\n",
+      " |          The default solver changed from 'liblinear' to 'lbfgs' in 0.22.\n",
+      " |      .. versionadded:: 1.2\n",
+      " |         newton-cholesky solver.\n",
+      " |  \n",
+      " |  max_iter : int, default=100\n",
+      " |      Maximum number of iterations taken for the solvers to converge.\n",
+      " |  \n",
+      " |  multi_class : {'auto', 'ovr', 'multinomial'}, default='auto'\n",
+      " |      If the option chosen is 'ovr', then a binary problem is fit for each\n",
+      " |      label. For 'multinomial' the loss minimised is the multinomial loss fit\n",
+      " |      across the entire probability distribution, *even when the data is\n",
+      " |      binary*. 'multinomial' is unavailable when solver='liblinear'.\n",
+      " |      'auto' selects 'ovr' if the data is binary, or if solver='liblinear',\n",
+      " |      and otherwise selects 'multinomial'.\n",
+      " |  \n",
+      " |      .. versionadded:: 0.18\n",
+      " |         Stochastic Average Gradient descent solver for 'multinomial' case.\n",
+      " |      .. versionchanged:: 0.22\n",
+      " |          Default changed from 'ovr' to 'auto' in 0.22.\n",
+      " |  \n",
+      " |  verbose : int, default=0\n",
+      " |      For the liblinear and lbfgs solvers set verbose to any positive\n",
+      " |      number for verbosity.\n",
+      " |  \n",
+      " |  warm_start : bool, default=False\n",
+      " |      When set to True, reuse the solution of the previous call to fit as\n",
+      " |      initialization, otherwise, just erase the previous solution.\n",
+      " |      Useless for liblinear solver. See :term:`the Glossary <warm_start>`.\n",
+      " |  \n",
+      " |      .. versionadded:: 0.17\n",
+      " |         *warm_start* to support *lbfgs*, *newton-cg*, *sag*, *saga* solvers.\n",
+      " |  \n",
+      " |  n_jobs : int, default=None\n",
+      " |      Number of CPU cores used when parallelizing over classes if\n",
+      " |      multi_class='ovr'\". This parameter is ignored when the ``solver`` is\n",
+      " |      set to 'liblinear' regardless of whether 'multi_class' is specified or\n",
+      " |      not. ``None`` means 1 unless in a :obj:`joblib.parallel_backend`\n",
+      " |      context. ``-1`` means using all processors.\n",
+      " |      See :term:`Glossary <n_jobs>` for more details.\n",
+      " |  \n",
+      " |  l1_ratio : float, default=None\n",
+      " |      The Elastic-Net mixing parameter, with ``0 <= l1_ratio <= 1``. Only\n",
+      " |      used if ``penalty='elasticnet'``. Setting ``l1_ratio=0`` is equivalent\n",
+      " |      to using ``penalty='l2'``, while setting ``l1_ratio=1`` is equivalent\n",
+      " |      to using ``penalty='l1'``. For ``0 < l1_ratio <1``, the penalty is a\n",
+      " |      combination of L1 and L2.\n",
+      " |  \n",
+      " |  Attributes\n",
+      " |  ----------\n",
+      " |  \n",
+      " |  classes_ : ndarray of shape (n_classes, )\n",
+      " |      A list of class labels known to the classifier.\n",
+      " |  \n",
+      " |  coef_ : ndarray of shape (1, n_features) or (n_classes, n_features)\n",
+      " |      Coefficient of the features in the decision function.\n",
+      " |  \n",
+      " |      `coef_` is of shape (1, n_features) when the given problem is binary.\n",
+      " |      In particular, when `multi_class='multinomial'`, `coef_` corresponds\n",
+      " |      to outcome 1 (True) and `-coef_` corresponds to outcome 0 (False).\n",
+      " |  \n",
+      " |  intercept_ : ndarray of shape (1,) or (n_classes,)\n",
+      " |      Intercept (a.k.a. bias) added to the decision function.\n",
+      " |  \n",
+      " |      If `fit_intercept` is set to False, the intercept is set to zero.\n",
+      " |      `intercept_` is of shape (1,) when the given problem is binary.\n",
+      " |      In particular, when `multi_class='multinomial'`, `intercept_`\n",
+      " |      corresponds to outcome 1 (True) and `-intercept_` corresponds to\n",
+      " |      outcome 0 (False).\n",
+      " |  \n",
+      " |  n_features_in_ : int\n",
+      " |      Number of features seen during :term:`fit`.\n",
+      " |  \n",
+      " |      .. versionadded:: 0.24\n",
+      " |  \n",
+      " |  feature_names_in_ : ndarray of shape (`n_features_in_`,)\n",
+      " |      Names of features seen during :term:`fit`. Defined only when `X`\n",
+      " |      has feature names that are all strings.\n",
+      " |  \n",
+      " |      .. versionadded:: 1.0\n",
+      " |  \n",
+      " |  n_iter_ : ndarray of shape (n_classes,) or (1, )\n",
+      " |      Actual number of iterations for all classes. If binary or multinomial,\n",
+      " |      it returns only 1 element. For liblinear solver, only the maximum\n",
+      " |      number of iteration across all classes is given.\n",
+      " |  \n",
+      " |      .. versionchanged:: 0.20\n",
+      " |  \n",
+      " |          In SciPy <= 1.0.0 the number of lbfgs iterations may exceed\n",
+      " |          ``max_iter``. ``n_iter_`` will now report at most ``max_iter``.\n",
+      " |  \n",
+      " |  See Also\n",
+      " |  --------\n",
+      " |  SGDClassifier : Incrementally trained logistic regression (when given\n",
+      " |      the parameter ``loss=\"log\"``).\n",
+      " |  LogisticRegressionCV : Logistic regression with built-in cross validation.\n",
+      " |  \n",
+      " |  Notes\n",
+      " |  -----\n",
+      " |  The underlying C implementation uses a random number generator to\n",
+      " |  select features when fitting the model. It is thus not uncommon,\n",
+      " |  to have slightly different results for the same input data. If\n",
+      " |  that happens, try with a smaller tol parameter.\n",
+      " |  \n",
+      " |  Predict output may not match that of standalone liblinear in certain\n",
+      " |  cases. See :ref:`differences from liblinear <liblinear_differences>`\n",
+      " |  in the narrative documentation.\n",
+      " |  \n",
+      " |  References\n",
+      " |  ----------\n",
+      " |  \n",
+      " |  L-BFGS-B -- Software for Large-scale Bound-constrained Optimization\n",
+      " |      Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales.\n",
+      " |      http://users.iems.northwestern.edu/~nocedal/lbfgsb.html\n",
+      " |  \n",
+      " |  LIBLINEAR -- A Library for Large Linear Classification\n",
+      " |      https://www.csie.ntu.edu.tw/~cjlin/liblinear/\n",
+      " |  \n",
+      " |  SAG -- Mark Schmidt, Nicolas Le Roux, and Francis Bach\n",
+      " |      Minimizing Finite Sums with the Stochastic Average Gradient\n",
+      " |      https://hal.inria.fr/hal-00860051/document\n",
+      " |  \n",
+      " |  SAGA -- Defazio, A., Bach F. & Lacoste-Julien S. (2014).\n",
+      " |          :arxiv:`\"SAGA: A Fast Incremental Gradient Method With Support\n",
+      " |          for Non-Strongly Convex Composite Objectives\" <1407.0202>`\n",
+      " |  \n",
+      " |  Hsiang-Fu Yu, Fang-Lan Huang, Chih-Jen Lin (2011). Dual coordinate descent\n",
+      " |      methods for logistic regression and maximum entropy models.\n",
+      " |      Machine Learning 85(1-2):41-75.\n",
+      " |      https://www.csie.ntu.edu.tw/~cjlin/papers/maxent_dual.pdf\n",
+      " |  \n",
+      " |  Examples\n",
+      " |  --------\n",
+      " |  >>> from sklearn.datasets import load_iris\n",
+      " |  >>> from sklearn.linear_model import LogisticRegression\n",
+      " |  >>> X, y = load_iris(return_X_y=True)\n",
+      " |  >>> clf = LogisticRegression(random_state=0).fit(X, y)\n",
+      " |  >>> clf.predict(X[:2, :])\n",
+      " |  array([0, 0])\n",
+      " |  >>> clf.predict_proba(X[:2, :])\n",
+      " |  array([[9.8...e-01, 1.8...e-02, 1.4...e-08],\n",
+      " |         [9.7...e-01, 2.8...e-02, ...e-08]])\n",
+      " |  >>> clf.score(X, y)\n",
+      " |  0.97...\n",
+      " |  \n",
+      " |  Method resolution order:\n",
+      " |      LogisticRegression\n",
+      " |      sklearn.linear_model._base.LinearClassifierMixin\n",
+      " |      sklearn.base.ClassifierMixin\n",
+      " |      sklearn.linear_model._base.SparseCoefMixin\n",
+      " |      sklearn.base.BaseEstimator\n",
+      " |      builtins.object\n",
+      " |  \n",
+      " |  Methods defined here:\n",
+      " |  \n",
+      " |  __init__(self, penalty='l2', *, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=None, random_state=None, solver='lbfgs', max_iter=100, multi_class='auto', verbose=0, warm_start=False, n_jobs=None, l1_ratio=None)\n",
+      " |      Initialize self.  See help(type(self)) for accurate signature.\n",
+      " |  \n",
+      " |  fit(self, X, y, sample_weight=None)\n",
+      " |      Fit the model according to the given training data.\n",
+      " |      \n",
+      " |      Parameters\n",
+      " |      ----------\n",
+      " |      X : {array-like, sparse matrix} of shape (n_samples, n_features)\n",
+      " |          Training vector, where `n_samples` is the number of samples and\n",
+      " |          `n_features` is the number of features.\n",
+      " |      \n",
+      " |      y : array-like of shape (n_samples,)\n",
+      " |          Target vector relative to X.\n",
+      " |      \n",
+      " |      sample_weight : array-like of shape (n_samples,) default=None\n",
+      " |          Array of weights that are assigned to individual samples.\n",
+      " |          If not provided, then each sample is given unit weight.\n",
+      " |      \n",
+      " |          .. versionadded:: 0.17\n",
+      " |             *sample_weight* support to LogisticRegression.\n",
+      " |      \n",
+      " |      Returns\n",
+      " |      -------\n",
+      " |      self\n",
+      " |          Fitted estimator.\n",
+      " |      \n",
+      " |      Notes\n",
+      " |      -----\n",
+      " |      The SAGA solver supports both float64 and float32 bit arrays.\n",
+      " |  \n",
+      " |  predict_log_proba(self, X)\n",
+      " |      Predict logarithm of probability estimates.\n",
+      " |      \n",
+      " |      The returned estimates for all classes are ordered by the\n",
+      " |      label of classes.\n",
+      " |      \n",
+      " |      Parameters\n",
+      " |      ----------\n",
+      " |      X : array-like of shape (n_samples, n_features)\n",
+      " |          Vector to be scored, where `n_samples` is the number of samples and\n",
+      " |          `n_features` is the number of features.\n",
+      " |      \n",
+      " |      Returns\n",
+      " |      -------\n",
+      " |      T : array-like of shape (n_samples, n_classes)\n",
+      " |          Returns the log-probability of the sample for each class in the\n",
+      " |          model, where classes are ordered as they are in ``self.classes_``.\n",
+      " |  \n",
+      " |  predict_proba(self, X)\n",
+      " |      Probability estimates.\n",
+      " |      \n",
+      " |      The returned estimates for all classes are ordered by the\n",
+      " |      label of classes.\n",
+      " |      \n",
+      " |      For a multi_class problem, if multi_class is set to be \"multinomial\"\n",
+      " |      the softmax function is used to find the predicted probability of\n",
+      " |      each class.\n",
+      " |      Else use a one-vs-rest approach, i.e calculate the probability\n",
+      " |      of each class assuming it to be positive using the logistic function.\n",
+      " |      and normalize these values across all the classes.\n",
+      " |      \n",
+      " |      Parameters\n",
+      " |      ----------\n",
+      " |      X : array-like of shape (n_samples, n_features)\n",
+      " |          Vector to be scored, where `n_samples` is the number of samples and\n",
+      " |          `n_features` is the number of features.\n",
+      " |      \n",
+      " |      Returns\n",
+      " |      -------\n",
+      " |      T : array-like of shape (n_samples, n_classes)\n",
+      " |          Returns the probability of the sample for each class in the model,\n",
+      " |          where classes are ordered as they are in ``self.classes_``.\n",
+      " |  \n",
+      " |  ----------------------------------------------------------------------\n",
+      " |  Data and other attributes defined here:\n",
+      " |  \n",
+      " |  __annotations__ = {'_parameter_constraints': <class 'dict'>}\n",
+      " |  \n",
+      " |  ----------------------------------------------------------------------\n",
+      " |  Methods inherited from sklearn.linear_model._base.LinearClassifierMixin:\n",
+      " |  \n",
+      " |  decision_function(self, X)\n",
+      " |      Predict confidence scores for samples.\n",
+      " |      \n",
+      " |      The confidence score for a sample is proportional to the signed\n",
+      " |      distance of that sample to the hyperplane.\n",
+      " |      \n",
+      " |      Parameters\n",
+      " |      ----------\n",
+      " |      X : {array-like, sparse matrix} of shape (n_samples, n_features)\n",
+      " |          The data matrix for which we want to get the confidence scores.\n",
+      " |      \n",
+      " |      Returns\n",
+      " |      -------\n",
+      " |      scores : ndarray of shape (n_samples,) or (n_samples, n_classes)\n",
+      " |          Confidence scores per `(n_samples, n_classes)` combination. In the\n",
+      " |          binary case, confidence score for `self.classes_[1]` where >0 means\n",
+      " |          this class would be predicted.\n",
+      " |  \n",
+      " |  predict(self, X)\n",
+      " |      Predict class labels for samples in X.\n",
+      " |      \n",
+      " |      Parameters\n",
+      " |      ----------\n",
+      " |      X : {array-like, sparse matrix} of shape (n_samples, n_features)\n",
+      " |          The data matrix for which we want to get the predictions.\n",
+      " |      \n",
+      " |      Returns\n",
+      " |      -------\n",
+      " |      y_pred : ndarray of shape (n_samples,)\n",
+      " |          Vector containing the class labels for each sample.\n",
+      " |  \n",
+      " |  ----------------------------------------------------------------------\n",
+      " |  Methods inherited from sklearn.base.ClassifierMixin:\n",
+      " |  \n",
+      " |  score(self, X, y, sample_weight=None)\n",
+      " |      Return the mean accuracy on the given test data and labels.\n",
+      " |      \n",
+      " |      In multi-label classification, this is the subset accuracy\n",
+      " |      which is a harsh metric since you require for each sample that\n",
+      " |      each label set be correctly predicted.\n",
+      " |      \n",
+      " |      Parameters\n",
+      " |      ----------\n",
+      " |      X : array-like of shape (n_samples, n_features)\n",
+      " |          Test samples.\n",
+      " |      \n",
+      " |      y : array-like of shape (n_samples,) or (n_samples, n_outputs)\n",
+      " |          True labels for `X`.\n",
+      " |      \n",
+      " |      sample_weight : array-like of shape (n_samples,), default=None\n",
+      " |          Sample weights.\n",
+      " |      \n",
+      " |      Returns\n",
+      " |      -------\n",
+      " |      score : float\n",
+      " |          Mean accuracy of ``self.predict(X)`` w.r.t. `y`.\n",
+      " |  \n",
+      " |  ----------------------------------------------------------------------\n",
+      " |  Data descriptors inherited from sklearn.base.ClassifierMixin:\n",
+      " |  \n",
+      " |  __dict__\n",
+      " |      dictionary for instance variables (if defined)\n",
+      " |  \n",
+      " |  __weakref__\n",
+      " |      list of weak references to the object (if defined)\n",
+      " |  \n",
+      " |  ----------------------------------------------------------------------\n",
+      " |  Methods inherited from sklearn.linear_model._base.SparseCoefMixin:\n",
+      " |  \n",
+      " |  densify(self)\n",
+      " |      Convert coefficient matrix to dense array format.\n",
+      " |      \n",
+      " |      Converts the ``coef_`` member (back) to a numpy.ndarray. This is the\n",
+      " |      default format of ``coef_`` and is required for fitting, so calling\n",
+      " |      this method is only required on models that have previously been\n",
+      " |      sparsified; otherwise, it is a no-op.\n",
+      " |      \n",
+      " |      Returns\n",
+      " |      -------\n",
+      " |      self\n",
+      " |          Fitted estimator.\n",
+      " |  \n",
+      " |  sparsify(self)\n",
+      " |      Convert coefficient matrix to sparse format.\n",
+      " |      \n",
+      " |      Converts the ``coef_`` member to a scipy.sparse matrix, which for\n",
+      " |      L1-regularized models can be much more memory- and storage-efficient\n",
+      " |      than the usual numpy.ndarray representation.\n",
+      " |      \n",
+      " |      The ``intercept_`` member is not converted.\n",
+      " |      \n",
+      " |      Returns\n",
+      " |      -------\n",
+      " |      self\n",
+      " |          Fitted estimator.\n",
+      " |      \n",
+      " |      Notes\n",
+      " |      -----\n",
+      " |      For non-sparse models, i.e. when there are not many zeros in ``coef_``,\n",
+      " |      this may actually *increase* memory usage, so use this method with\n",
+      " |      care. A rule of thumb is that the number of zero elements, which can\n",
+      " |      be computed with ``(coef_ == 0).sum()``, must be more than 50% for this\n",
+      " |      to provide significant benefits.\n",
+      " |      \n",
+      " |      After calling this method, further fitting with the partial_fit\n",
+      " |      method (if any) will not work until you call densify.\n",
+      " |  \n",
+      " |  ----------------------------------------------------------------------\n",
+      " |  Methods inherited from sklearn.base.BaseEstimator:\n",
+      " |  \n",
+      " |  __getstate__(self)\n",
+      " |  \n",
+      " |  __repr__(self, N_CHAR_MAX=700)\n",
+      " |      Return repr(self).\n",
+      " |  \n",
+      " |  __setstate__(self, state)\n",
+      " |  \n",
+      " |  get_params(self, deep=True)\n",
+      " |      Get parameters for this estimator.\n",
+      " |      \n",
+      " |      Parameters\n",
+      " |      ----------\n",
+      " |      deep : bool, default=True\n",
+      " |          If True, will return the parameters for this estimator and\n",
+      " |          contained subobjects that are estimators.\n",
+      " |      \n",
+      " |      Returns\n",
+      " |      -------\n",
+      " |      params : dict\n",
+      " |          Parameter names mapped to their values.\n",
+      " |  \n",
+      " |  set_params(self, **params)\n",
+      " |      Set the parameters of this estimator.\n",
+      " |      \n",
+      " |      The method works on simple estimators as well as on nested objects\n",
+      " |      (such as :class:`~sklearn.pipeline.Pipeline`). The latter have\n",
+      " |      parameters of the form ``<component>__<parameter>`` so that it's\n",
+      " |      possible to update each component of a nested object.\n",
+      " |      \n",
+      " |      Parameters\n",
+      " |      ----------\n",
+      " |      **params : dict\n",
+      " |          Estimator parameters.\n",
+      " |      \n",
+      " |      Returns\n",
+      " |      -------\n",
+      " |      self : estimator instance\n",
+      " |          Estimator instance.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "help(LogisticRegression)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You see in the help documentation all the paramters for which you can assign values to affect the behavior of the class when you use it.  In the above output, you are shown (among others--below we've omitted ones not of interest here--but feel free to experiment!).\n",
+    "  \n",
+    "penalty = 'l2'  \n",
+    "C = 1.0  \n",
+    "fit_intercept = True  \n",
+    "  \n",
+    "The values given after the equal sign are the default values; farther down in the documentation each parameter is defined and the possible / allowed values are detailed.  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "lTKK3xCDH7GK"
+   },
+   "source": [
+    "### Tuning the Model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "0c_CvQWMH7GL"
+   },
+   "source": [
+    "We've just seen that the scikit-learn logistic regression model has some adjustable parameters (*hyperparameters*) we can tune to optimize performance. Keep in mind that optimizing performance means we want to minimize the gap between the model performance on the training set and the test/validation set. It's possible to get a very good score on the training set but do poorly on the test set, due to what is called \"overfitting'.  Overfitting refers to the case where the training performance is significantly higer than the test performance--this is caused by the model \"memorizing\" the training data. For tuning the parameters of your model, you will use a mix of *cross-validation* and *grid search*. In Logistic Regression, the most important parameter to tune is the *regularization parameter* ``C``. The regularization parameter is used to control for unlikely high regression coefficients, by adding a \"penalty\" to the loss term when the coefficients get larger.  For sklearn ``LogisticRegression``, ``C`` is the \"inverse regularization strength\", meaning smaller ``C`` constrains the paramters more. Also note that the actual penalty is determined by the \"penalty\" paramter, which defaults to ``l2``. l2 regularization uses a value ($\\lambda$) multipled by the sum of the squares of the model coefficients.  l1 regularization multiples $\\lambda$ by the sum of the absolute values of the weights. l2 is also called Ridge regularization (see section 3.4 and equation 3.41 in [The Elements of Statistical Learning](https://hastie.su.domains/Papers/ESLII.pdf)) and l1 is called Lasso regularization (see section 3.4 and equation 3.52, ibid).  So by default, smaller values of ``C`` will result in l2 regularization with larger $\\lambda$ and a greater penalty on the larger model coefficients. Lastly, note that the default value for ``C`` is 1, and along with the default penaly l2, means scikit-learn Logistic Regression *always* uses regularization. If you would like to build Logistic Regression models without regularization, you can use statsmodels (*).\n",
+    "\n",
+    "You will now implement some code to perform model tuning and selecting the regularization parameter ``C``.  \n",
+    "  \n",
+    "---\n",
+    "(*) [statsmodels.discrete.discrete_model.Logit](https://www.statsmodels.org/stable/discretemod.html)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Side-Bar: Cross Validation\n",
+    "\n",
+    "Cross Validation refers to using a procedure to split the data into multiple train/validation splits, fitting a model using the training split, computing the performance metrics for the validation split over multiple splits. The metrics are typically averaged and the average value is reported as hopefully representative of what the model will do in the future on new data. Recall earlier we showed that across 25 splits the train and the test scores varied; a key idea behind cross validation is to avoid choosing a \"lucky\" split that happens to give great performance on the data at hand but does more poorly later.  Since the scores vary across random splits, it's assumed that the best score or the worst score aren't as likely to represent the future as an average. Some Data Scientists also report the standard deviation of the cv scores as a further measure of how confident they are in the score.\n",
+    "\n",
+    "<b>To summarize</b>:\n",
+    "- the data are split multiple times (training/validation)\n",
+    "- a model is fit to the train data on each split\n",
+    "- the model is scored on the validation data on each split\n",
+    "- the average (and sometimes standard deviation) of the score is reported as the cv score"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "EzrmOosaH7GL"
+   },
+   "source": [
+    "We use the following `cv_score` function to perform K-fold cross-validation and apply a scoring function to each test fold. A *fold* in this case just means a different split of the data, in this case random splits. The function generates five different splits (i.e. 5-fold validation), fits a classifier each time (note that the classifier is passed as a parameter to the function, so we can define it as anything that has a ``fit`` and ``predict`` method), and computes the \"score\", which by default is ``accuracy_score``. (Note the use of accuracy as the scoring metric--do you think this is the best approach for this problem?) Kfold is used to return sets of indices vs. the actual data, so the indices are generated, split, and passed as the vectors train, test to define the actual x and y data used on each pass. The scores are summed up in ``result``, and then the average is returned.\n",
+    "\n",
+    "Please do not confuse the train/test split that is done in the cv_score function with the initial train/test split that one does before building the model. As you will notice below, when cv_score is called, the actual parameters that will be bound to the formal parameters x, y are X_train, and y_train, which come from the original split of (X, y)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "c77hT32VH7GM"
+   },
+   "outputs": [],
+   "source": [
+    "def cv_score(clf, x, y, score_func = accuracy_score):\n",
+    "    result = 0\n",
+    "    nfold = 5\n",
+    "    x.reset_index(drop = True, inplace = True)\n",
+    "    y.index = x.index\n",
+    "    for train, test in KFold(nfold, shuffle = True,\n",
+    "                             random_state = 42).split(x):\n",
+    "        clf.fit(x.loc[train, :], y[train])\n",
+    "        result += score_func(clf.predict(x.loc[test, :]), y[test])\n",
+    "    return result / nfold"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "jwrPgto2H7GO"
+   },
+   "source": [
+    "Below is an example of using the `cv_score` function for a basic logistic regression model without regularization."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "jtFdwvEbH7GP",
+    "outputId": "dd089907-d94e-4c3f-fc91-e6a315bb186e",
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.83\n"
+     ]
+    }
+   ],
+   "source": [
+    "clf = LogisticRegression(solver = 'liblinear', max_iter = 500)\n",
+    "score = cv_score(clf, Xlr, ylr)\n",
+    "print(f'{score:.2f}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "It's very important to understand this result. Earlier we showed that with different random splits, the train and test score would vary, and in our case the test score varied more than the train score. The key idea of cross-validation is to peform multiple splits. In this case, we defined our cv_score() function to return the average score across all splits. This is intended to be an estimate of the most likely performance of the model on unseen data. However, the actual results will still vary. Note that in this case the value is in between what we obtained with a single split for the train set and the test set."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "kODxGyOxH7GR"
+   },
+   "source": [
+    "<div class=\"span5 alert alert-info\">\n",
+    "<h3>Checkup Exercise Set II</h3>\n",
+    "\n",
+    "<b>Exercise:</b> Implement the following search procedure to find a good model\n",
+    "<ul>\n",
+    "<li> You are given a list of possible values of `C` below\n",
+    "<li> For each `C`:\n",
+    "  <ol>\n",
+    "  <li> Create a logistic regression model with that value of `C`\n",
+    "  <li> Find the average score for this model using the `cv_score` function **only on the training set** `(Xlr, ylr)`\n",
+    "  </ol>\n",
+    "<li> Pick the `C` with the highest average score\n",
+    "</ul><br>\n",
+    "Your goal is to find the best model parameters based *only* on the training set, without showing the model test set at all (which is why the test set is also called a *hold-out* set).  \n",
+    "\n",
+    "Comment on the value of the score using the best `C` vs. what we had before.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#\n",
+    "# the grid of parameters to search over\n",
+    "#\n",
+    "Cs = [0.001, 0.1, 1, 10, 100]\n",
+    "#\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.83\n"
+     ]
+    }
+   ],
+   "source": [
+    "#C of 0.001\n",
+    "clf1 = LogisticRegression(solver = 'liblinear', max_iter = 500, C=0.1)\n",
+    "score = cv_score(clf1, Xlr, ylr)\n",
+    "print(f'{score:.2f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.83\n"
+     ]
+    }
+   ],
+   "source": [
+    "#C of 0.1\n",
+    "clf1 = LogisticRegression(solver = 'liblinear', max_iter = 500, C=0.1)\n",
+    "score = cv_score(clf1, Xlr, ylr)\n",
+    "print(f'{score:.2f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.83\n"
+     ]
+    }
+   ],
+   "source": [
+    "#C of 1\n",
+    "clf1 = LogisticRegression(solver = 'liblinear', max_iter = 500, C=1)\n",
+    "score = cv_score(clf1, Xlr, ylr)\n",
+    "print(f'{score:.2f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.82\n"
+     ]
+    }
+   ],
+   "source": [
+    "#C of 10\n",
+    "clf1 = LogisticRegression(solver = 'liblinear', max_iter = 500, C=10)\n",
+    "score = cv_score(clf1, Xlr, ylr)\n",
+    "print(f'{score:.2f}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.82\n"
+     ]
+    }
+   ],
+   "source": [
+    "#C of 100\n",
+    "clf1 = LogisticRegression(solver = 'liblinear', max_iter = 500, C=100)\n",
+    "score = cv_score(clf1, Xlr, ylr)\n",
+    "print(f'{score:.2f}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "It looks like the best C value is 1. The cv_score for this C value is the same as the cv_score for the default C value. That is because the default C value is also 1."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "sXRC8rlbH7GV"
+   },
+   "source": [
+    "<div class=\"span5 alert alert-info\">\n",
+    "<h3>Checkup Exercise Set III</h3><br>\n",
+    "    <b>Exercise:</b> Now you want to estimate how this model will predict on unseen data in the following way:\n",
+    "<ol>\n",
+    "    <li> Use the <i>C</i> you obtained from the procedure earlier and train a Logistic Regression on the training data\n",
+    "<li> Calculate the accuracy on the test data\n",
+    "</ol>\n",
+    "\n",
+    "You may notice that this particular value of <i>C</i> may or may not do as well as simply running the default model on a random train-test split.\n",
+    "\n",
+    "<ul>\n",
+    "<li> Do you think that's a problem? \n",
+    "<li> Why do we need to do this whole cross-validation and grid search stuff anyway?\n",
+    "</ul>\n",
+    "\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#\n",
+    "# your turn\n",
+    "#"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.84\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "clf1 = LogisticRegression(solver = 'liblinear', max_iter = 500, C=1)\n",
+    "score = cv_score(clf1, Xtestlr, ytestlr)\n",
+    "print(f'{score:.2f}')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A: It appears that this value of C gives us a similar value to the default model. The point of cross validation is to be a check how well our model predicts by fine tunning the hyper parameters."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "8VNaKmftH7Gb"
+   },
+   "source": [
+    "### Black Box Grid Search in `sklearn`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "8LWn47nCH7Gc"
+   },
+   "source": [
+    "Scikit-learn, as with many other Python packages, provides utilities to perform common operations so you do not have to implement them yourself. It is important to understand the mechanics of each operation, but at a certain point, you will want to use the utility instead to save time..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "8FGPwNBPH7Gd"
+   },
+   "source": [
+    "<div class=\"span5 alert alert-info\">\n",
+    "<h3>Checkup Exercise Set IV</h3>\n",
+    "\n",
+    "<b>Exercise:</b> Use scikit-learn's [GridSearchCV](http://scikit-learn.org/stable/modules/generated/sklearn.grid_search.GridSearchCV.html) tool to perform cross validation and grid search. \n",
+    "\n",
+    "* Instead of writing your own loops above to iterate over the model parameters, can you use GridSearchCV to find the best model over the training set? \n",
+    "* Does it give you the same best value of C?\n",
+    "* How does this model you've obtained perform on the test set?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#\n",
+    "# your turn\n",
+    "#"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'C': 1}"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "parameters = {'C':[0.001, 0.1, 1, 10, 100]}\n",
+    "clf2 = LogisticRegression(solver = 'liblinear', max_iter = 500)\n",
+    "cv = GridSearchCV(clf2, parameters)\n",
+    "score = cv_score(clf2, Xlr, ylr)\n",
+    "cv.fit(Xlr, ylr)\n",
+    "cv.best_params_    \n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.84\n"
+     ]
+    }
+   ],
+   "source": [
+    "clf2= LogisticRegression(solver = 'liblinear', max_iter = 500, C=1)\n",
+    "score = cv_score(clf2, Xtestlr, ytestlr)\n",
+    "print(f'{score:.2f}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A: This method does give us the same best C parameter value as the loops above. The model also gives the same score on the test set as well."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So in a few lines of code, utilizing the functionality provied by scikit-learn, you can reproduce what took about 20 lines of code \"from scratch\". The goal here was to illustrate how to understand what is occurring when you use these advanced features.  It's always a good idea to do some experimenting and exploring to ensure you understand the tools you are using!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Summary\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This case study has introduced using the Logistic Regression algorithm to classify a binary outcome, in this case the presence or absence of heart disease. You have seen how to tune a hyperparamter *C*, the  \"inverse regularization strength\" to get a model that has a good average cross-vaidation score on the held-out data.  \n",
+    "\n",
+    "Logistic regression is an excellent choice for a \"baseline\" classifier, even when you plan to test more complicated algorithms on a problem. Have a well-performing baseline makes it more clear when using a more complex method adds value."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "MCmALJTwH7Gi"
+   },
+   "source": [
+    "## Optional: Appendix  \n",
+    "#### Note: \n",
+    "Most of the following material is taken verbatim from the Logistic Regression section of the CS109 tutorial found at https://github.com/cs109/2015lab5/blob/master/Classification.ipynb\n",
+    "\n",
+    "### A Walkthrough of the Math Behind Logistic Regression"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We could approach classification as linear regression, where the class, 0 or 1, is the target variable $y$. But this ignores the fact that our output $y$ is discrete valued, and futhermore, the $y$ predicted by linear regression will in general take on values less than 0 and greater than 1. Thus this does not seem like a very good idea.\n",
+    "\n",
+    "But what if we could change the form of our hypotheses $h(x)$ instead?\n",
+    "\n",
+    "The idea behind logistic regression is very simple. We want to draw a line in feature space that divides the '1' samples from the '0' samples, just like in the diagram above. In other words, we wish to find the \"regression\" line which divides the samples. Now, a line has the form $w_1 x_1 + w_2 x_2 + w_0 = 0$ in 2-dimensions. On one side of this line we have \n",
+    "\n",
+    "$$w_1 x_1 + w_2 x_2 + w_0 \\ge 0,$$\n",
+    "\n",
+    "and on the other side we have \n",
+    "\n",
+    "$$w_1 x_1 + w_2 x_2 + w_0 < 0.$$ \n",
+    "\n",
+    "Our classification rule then becomes:\n",
+    "\n",
+    "\\begin{eqnarray*}\n",
+    "y = 1\\;\\; &if&\\; \\textbf{w}\\cdot\\textbf{x} \\ge 0\\\\\n",
+    "y = 0\\;\\; &if&\\; \\textbf{w}\\cdot\\textbf{x} < 0\n",
+    "\\end{eqnarray*}\n",
+    "\n",
+    "where $ \\textbf{x}$ is the vector $\\{1,x_1, x_2,...,x_n\\}$ where we have also generalized to more than 2 features.\n",
+    "\n",
+    "What hypotheses $h$ can we use to achieve this? One way to do so is to use the **sigmoid** function:\n",
+    "\n",
+    "$$h(z) = \\frac{1}{1 + e^{-z}}.$$\n",
+    "\n",
+    "Notice that at $z=0$ this function has the value 0.5. If $z > 0$, $h > 0.5$ and as $z \\to \\infty$, $h \\to 1$. If $z < 0$, $h < 0.5$ and as $z \\to -\\infty$, $h \\to 0$. As long as we identify any value of $y > 0.5$ as 1, and any $y < 0.5$ as 0, we can achieve what we wished above.\n",
+    "\n",
+    "This function is plotted below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "GW9tbwaqH7Gs",
+    "outputId": "372a82a7-5a65-4647-c660-3e982960e7ad",
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "h = lambda z: 1. / (1 + np.exp(-z))\n",
+    "zs = np.arange(-5, 5, 0.1)\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.plot(zs, h(zs), alpha=0.5)\n",
+    "ax.set_ylabel('Sigmoid Output')\n",
+    "ax.set_xlabel('Sigmoid Input')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "WxuHhldPH7Gw"
+   },
+   "source": [
+    "You can see the effect of the Sigmoid function is to \"squash\" the input values to between 0 and 1, and because of the steep slope in the middle, it will tend to output values towards 0 or 1 if the input is somewhat different than 0.\n",
+    "\n",
+    "So we then come up with our rule by identifying:\n",
+    "\n",
+    "$$z = \\textbf{w}\\cdot\\textbf{x}.$$\n",
+    "\n",
+    "Then $h(\\textbf{w}\\cdot\\textbf{x}) \\ge 0.5$ if $\\textbf{w}\\cdot\\textbf{x} \\ge 0\\;$  and  $\\;h(\\textbf{w}\\cdot\\textbf{x}) \\lt 0.5$ if $\\textbf{w}\\cdot\\textbf{x} \\lt 0$, and:\n",
+    "\n",
+    "\\begin{eqnarray*}\n",
+    "y = 1 \\;\\; &if&\\; h(\\textbf{w}\\cdot\\textbf{x}) \\ge 0.5\\\\\n",
+    "y = 0 \\;\\; &if&\\; h(\\textbf{w}\\cdot\\textbf{x}) \\lt 0.5.\n",
+    "\\end{eqnarray*}\n",
+    "\n",
+    "We will show soon that this identification can be achieved by minimizing a loss in the ERM framework called the **log loss** :\n",
+    "\n",
+    "$$ R_{\\cal{D}}(\\textbf{w}) = - \\sum_{y_i \\in \\cal{D}} \\left ( y_i \\log(h(\\textbf{w}\\cdot\\textbf{x})) + ( 1 - y_i) \\log(1 - h(\\textbf{w}\\cdot\\textbf{x})) \\right )$$\n",
+    "\n",
+    "We will also add a regularization term:\n",
+    "\n",
+    "$$ R_{\\cal{D}}(\\textbf{w}) = - \\sum_{y_i \\in \\cal{D}} \\left ( y_i \\log(h(\\textbf{w}\\cdot\\textbf{x})) + ( 1 - y_i) \\log(1 - h(\\textbf{w}\\cdot\\textbf{x})) \\right ) + \\frac{1}{C} \\textbf{w}\\cdot\\textbf{w},$$\n",
+    "\n",
+    "where $C$ is the regularization strength (equivalent to $1/\\alpha$ from the Ridge case), and smaller values of $C$ mean stronger regularization. As before, the regularization tries to prevent features from having terribly high weights, thus implementing a form of feature selection. \n",
+    "\n",
+    "How did we come up with this loss? We'll come back to that, but let us see how logistic regression works out. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "7q7uV37WHunX"
+   },
+   "source": [
+    "### The Probabalistic Interpretation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "VW4XoUruHunX"
+   },
+   "source": [
+    "Remember we said earlier that if $h > 0.5$ we ought to identify the sample with $y=1$? One way of thinking about this is to identify $h({w}\\cdot{x})$ with the probability that the sample is a '1'  $\\;$($y=1$). Then we have the intuitive notion that lets identify a sample as 1 if we find that the probabilty of being a '1' is $\\;\\ge 0.5$.\n",
+    "\n",
+    "So suppose we say then that the probability of $y=1$ for a given $\\textbf{x}$ is given by $h(\\textbf{w}\\cdot\\textbf{x})$?\n",
+    "\n",
+    "Then, the conditional probabilities of $y=1$ or $y=0$ given a particular sample's features $\\v{x}$ are:\n",
+    "\n",
+    "\\begin{eqnarray*}\n",
+    "P(y=1 | \\textbf{x}) &=& h(\\textbf{w}\\cdot\\textbf{x}) \\\\\n",
+    "P(y=0 | \\textbf{x}) &=& 1 - h(\\textbf{w}\\cdot\\textbf{x}).\n",
+    "\\end{eqnarray*}\n",
+    "\n",
+    "These two can be written together as\n",
+    "\n",
+    "$$P(y|\\textbf{x}, \\textbf{w}) = h(\\textbf{w}\\cdot\\textbf{x})^y \\left(1 - h(\\textbf{w}\\cdot\\textbf{x}) \\right)^{(1-y)} $$\n",
+    "\n",
+    "Then multiplying over the samples we get the probability of the training $y$ given $\\textbf{w}$ and the $\\textbf{x}$:\n",
+    "\n",
+    "$$P(y|\\textbf{x},\\textbf{w}) = P(\\{y_i\\} | \\{\\textbf{x}_i\\}, \\textbf{w}) = \\prod_{y_i \\in \\cal{D}} P(y_i|\\textbf{x_i}, \\textbf{w}) = \\prod_{y_i \\in \\cal{D}} h(\\textbf{w}\\cdot\\textbf{x_i})^{y_i} \\left(1 - h(\\textbf{w}\\cdot\\textbf{x_i}) \\right)^{(1-y_i)}$$\n",
+    "\n",
+    "Why use probabilities? Earlier, we talked about how the regression function $f(x)$ never gives us the $y$ exactly, because of noise. This hold for classification too. Even with identical features, a different sample may be classified differently. \n",
+    "\n",
+    "We said that another way to think about a noisy $y$ is to imagine that our data $\\mathcal{D}$ was generated from  a joint probability distribution $P(x,y)$. Thus we need to model $y$ at a given $x$, written as $P(y|x)$, and since $P(x)$ is also a probability distribution, we have:\n",
+    "\n",
+    "$$P(x,y) = P(y | x) P(x)$$\n",
+    "\n",
+    "and can obtain our joint probability $P(x, y)$.\n",
+    "\n",
+    "Indeed its important to realize that a particular training set can be thought of as a draw from some \"true\" probability distribution (just as we did when showing the hairy variance diagram). If for example the probability of classifying a test sample as a '0' was 0.1, and it turns out that the test sample was a '0', it does not mean that this model was necessarily wrong. After all, in roughly a 10th of the draws, this new sample would be classified as a '0'! But, of-course its more unlikely than its likely, and having good probabilities means that we'll be likely right most of the time, which is what we want to achieve in classification. And furthermore, we can quantify this accuracy.\n",
+    "\n",
+    "Thus its desirable to have probabilistic, or at the very least, ranked models of classification where you can tell which sample is more likely to be classified as a '1'. There are business reasons for this too. Consider the example of customer \"churn\": you are a cell-phone company and want to know, based on some of my purchasing habit and characteristic \"features\" if I am a likely defector. If so, you'll offer me an incentive not to defect. In this scenario, you might want to know which customers are most likely to defect, or even more precisely, which are most likely to respond to incentives. Based on these probabilities, you could then spend a finite marketing budget wisely."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "KPOA3PdeHunY"
+   },
+   "source": [
+    "### Maximizing the Probability of the Training Set"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "3VlYAPRnHunY"
+   },
+   "source": [
+    "Now if we maximize $P(y|\\textbf{x},\\textbf{w})$, we will maximize the chance that each point is classified correctly, which is what we want to do. While this is not exactly the same thing as maximizing the 1-0 training risk, it is a principled way of obtaining the highest probability classification. This process is called **maximum likelihood** estimation since we are maximising the **likelihood of the training data y**, \n",
+    "\n",
+    "$$\\mathcal{L} = P(y|\\textbf{x},\\textbf{w}).$$ \n",
+    "\n",
+    "Maximum likelihood is one of the corenerstone methods in statistics, and is used to estimate probabilities of data. \n",
+    "\n",
+    "We can equivalently maximize \n",
+    "\n",
+    "$$\\ell = \\log{P(y|\\textbf{x},\\textbf{w})}$$ \n",
+    "\n",
+    "since the natural logarithm $\\log$ is a monotonic function. This is known as maximizing the **log-likelihood**. Thus we can equivalently *minimize* a risk that is the negative of  $\\log(P(y|\\textbf{x},\\textbf{w}))$:\n",
+    "\n",
+    "$$R_{\\cal{D}}(h(x)) = -\\ell = -\\log \\mathcal{L} = -\\log{P(y|\\textbf{x},\\textbf{w})}$$\n",
+    "\n",
+    "\n",
+    "Thus\n",
+    "\n",
+    "\\begin{eqnarray*}\n",
+    "R_{\\cal{D}}(h(x)) &=& -\\log\\left(\\prod_{y_i \\in \\cal{D}} h(\\textbf{w}\\cdot\\textbf{x_i})^{y_i} \\left(1 - h(\\textbf{w}\\cdot\\textbf{x_i}) \\right)^{(1-y_i)}\\right)\\\\\n",
+    "                  &=& -\\sum_{y_i \\in \\cal{D}} \\log\\left(h(\\textbf{w}\\cdot\\textbf{x_i})^{y_i} \\left(1 - h(\\textbf{w}\\cdot\\textbf{x_i}) \\right)^{(1-y_i)}\\right)\\\\                  \n",
+    "                  &=& -\\sum_{y_i \\in \\cal{D}} \\log\\,h(\\textbf{w}\\cdot\\textbf{x_i})^{y_i} + \\log\\,\\left(1 - h(\\textbf{w}\\cdot\\textbf{x_i}) \\right)^{(1-y_i)}\\\\\n",
+    "                  &=& - \\sum_{y_i \\in \\cal{D}} \\left ( y_i \\log(h(\\textbf{w}\\cdot\\textbf{x})) + ( 1 - y_i) \\log(1 - h(\\textbf{w}\\cdot\\textbf{x})) \\right )\n",
+    "\\end{eqnarray*}\n",
+    "                  \n",
+    "This is exactly the risk we had above, leaving out the regularization term (which we shall return to later) and was the reason we chose it over the 1-0 risk. \n",
+    "\n",
+    "Notice that this little process we carried out above tells us something very interesting: **Probabilistic estimation using maximum likelihood is equivalent to Empiricial Risk Minimization using the negative log-likelihood**, since all we did was to minimize the negative log-likelihood over the training samples.\n",
+    "\n",
+    "`sklearn` will return the probabilities for our samples, or for that matter, for any input vector set $\\{\\textbf{x}_i\\}$, i.e. $P(y_i | \\textbf{x}_i, \\textbf{w})$:\n",
+    "\n",
+    "Let us plot the probabilities obtained from `predict_proba`, overlayed on the samples with their true labels:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "7T9bA2tyHunZ"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0.0137108 , 0.9862892 ],\n",
+       "       [0.00540014, 0.99459986],\n",
+       "       [0.02372191, 0.97627809],\n",
+       "       [0.13594936, 0.86405064],\n",
+       "       [0.89512286, 0.10487714],\n",
+       "       [0.78973915, 0.21026085],\n",
+       "       [0.96625269, 0.03374731],\n",
+       "       [0.49761098, 0.50238902],\n",
+       "       [0.82929914, 0.17070086],\n",
+       "       [0.95626833, 0.04373167],\n",
+       "       [0.45401095, 0.54598905],\n",
+       "       [0.45796064, 0.54203936],\n",
+       "       [0.93677383, 0.06322617],\n",
+       "       [0.88748087, 0.11251913],\n",
+       "       [0.95535549, 0.04464451],\n",
+       "       [0.08067023, 0.91932977],\n",
+       "       [0.00336342, 0.99663658],\n",
+       "       [0.97142627, 0.02857373],\n",
+       "       [0.88721314, 0.11278686],\n",
+       "       [0.04835206, 0.95164794],\n",
+       "       [0.00164187, 0.99835813],\n",
+       "       [0.92405636, 0.07594364],\n",
+       "       [0.24364949, 0.75635051],\n",
+       "       [0.03802645, 0.96197355],\n",
+       "       [0.01198101, 0.98801899],\n",
+       "       [0.89601296, 0.10398704],\n",
+       "       [0.97833617, 0.02166383],\n",
+       "       [0.98142395, 0.01857605],\n",
+       "       [0.85158141, 0.14841859],\n",
+       "       [0.24964455, 0.75035545],\n",
+       "       [0.95896723, 0.04103277],\n",
+       "       [0.25674932, 0.74325068],\n",
+       "       [0.07652715, 0.92347285],\n",
+       "       [0.0247309 , 0.9752691 ],\n",
+       "       [0.94090959, 0.05909041],\n",
+       "       [0.93370598, 0.06629402],\n",
+       "       [0.65342616, 0.34657384],\n",
+       "       [0.0095411 , 0.9904589 ],\n",
+       "       [0.30382668, 0.69617332],\n",
+       "       [0.9161415 , 0.0838585 ],\n",
+       "       [0.60363521, 0.39636479],\n",
+       "       [0.02735441, 0.97264559],\n",
+       "       [0.52444516, 0.47555484],\n",
+       "       [0.97283164, 0.02716836],\n",
+       "       [0.63848563, 0.36151437],\n",
+       "       [0.37270831, 0.62729169],\n",
+       "       [0.76647666, 0.23352334],\n",
+       "       [0.99576336, 0.00423664],\n",
+       "       [0.00684561, 0.99315439],\n",
+       "       [0.09876666, 0.90123334],\n",
+       "       [0.9791153 , 0.0208847 ],\n",
+       "       [0.89016966, 0.10983034],\n",
+       "       [0.67219136, 0.32780864],\n",
+       "       [0.97164923, 0.02835077],\n",
+       "       [0.0405087 , 0.9594913 ],\n",
+       "       [0.79568715, 0.20431285],\n",
+       "       [0.99157491, 0.00842509],\n",
+       "       [0.94301141, 0.05698859],\n",
+       "       [0.97579206, 0.02420794],\n",
+       "       [0.08968865, 0.91031135],\n",
+       "       [0.58676415, 0.41323585],\n",
+       "       [0.96946141, 0.03053859],\n",
+       "       [0.00599574, 0.99400426],\n",
+       "       [0.94755342, 0.05244658],\n",
+       "       [0.71438575, 0.28561425],\n",
+       "       [0.96962606, 0.03037394],\n",
+       "       [0.0311221 , 0.9688779 ],\n",
+       "       [0.00443988, 0.99556012]])"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "clf.predict_proba(Xtestlr)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To illustrate further, we return to our simplistic two-feature classifier we created earlier:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "yE3BTqqNHund"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(C=1000, max_iter=500, solver=&#x27;liblinear&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(C=1000, max_iter=500, solver=&#x27;liblinear&#x27;)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "LogisticRegression(C=1000, max_iter=500, solver='liblinear')"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Xtrain, Xtest, ytrain, ytest = \\\n",
+    "    train_test_split(dflog[['cholesterol_mg_dl','resting_BP_mm_Hg']],\n",
+    "                     dflog['heart_disease'],\n",
+    "                     train_size = 0.80,\n",
+    "                     random_state = 42)\n",
+    "classifier = LogisticRegression(solver = 'liblinear', max_iter = 500, C = 1000)\n",
+    "classifier.fit(Xtrain, ytrain)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In this case, we will use the other function we defined, to label the points using the *predicted* values (earlier we labeled them with their actual values) and label the probabilities output by the classifier. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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TXLduHaeeeiq9vb0Ui0UuvfTSVjDcsGEDv//97+nv72fatGk8+uijzJ8/n9WrV7NkyRL+6q/+iq985SvtOI1JyVjHNMdC1Q1YX7LZWXepOIPHPBNF38FFSti5M+6e7eyKA+Oo6wN9vXH3bHf34R1E96bo684aLJtbTBR9CfvFhEgEAnj11Vf58Ic/zD333DPs6xdeeCHf/e53OeKIIwBwXZdSqUShUDgg8ftkp51Bs0ndC9hQstlW86g4uzJRdEVBUwTTMgbTswaaktTHjRdJ0DxwpJRDFH1NsqZGMa2zLFH0JewjEyIRCGDx4sXcddddvPrqqzz00ENs2bIFgJkzZ3LmmWe2gmUT0zSZMWNGO08hYYCMoXHM9BwLOkI2lG22VNxBir4tVZftNZfuTGwZShR9CROR3RV9W0o2T70+VNFXGlD0nTCnwBGJoi9hnBmXYqjFixezePHi8dh1wj5i6SpHdmeZV0wPVfQB22oeOxJFX8IERwjBrI40szpGV/Q9s77E8bMLHNWTTR4EE8aFpIL4MMHUFBZ3ZZhXTLGp4rCpPFjRt7nqsLPh0ZnSmZE1SSWKvoQJyvSCxZuWzRpQ9PXzytYqpZrTCp6Pvd7HsxtKLJmd55iZOUwt+SwntI/9Dpo333zzAR34ve997wFtn7B/6KrCgo40cwoWWyouG0o2/kDwbCr6+ho+xZRGT9YibSQ3nISJSazo6+GURZ08u66fNVsqRJEcaH3CU+tKrNxY5tiZeY6blSeVfJYT2sB+JwIpinJAWWthmHgmm4xHItBYCSPJtgHL0HCKvvyAoi+XaM32mSQR6OBSdwKeXd/P6k3DK/qOmpHlhDmFRNGXcGgSgd773veOGDR/8IMfsHjxYs4+++z93X3CQUJVBLPyFjNzJttrHutLDRoDij4/iuhteFScIFH0HSBSsteomZQeHhgZS+PMo6axfGEnK9eXeH5DaZCi7/G1/by4tZoo+hIOiLaWnDRRFIX3ve99/Pu//3u7dz0lOZQtzT2RUrKz4bG+f5eir4muKImibx/YvaW5LyQtzfbgBREvbCwNUvQ1yZoaC7ozLEsUfYclE6bkJGHyI4RgWiYWICSKvgNDiFi+3tW1b9vpehIw24GhKZy0oJMT5hZ5cXOFZ9f1U3N2Kfqe31Rm7YCib+mcAtPzh2+teMLYSYJmwrA0FX2daYOy47O+36av4bWCp+9FOP0RmysOPTmTrrSRFJcPQ7GYTA12qNEGFH3Hzi7w8tbYb1tueK3guXpLlQ19Nj0Fi6VzCswqWsmDYMKIJEEzYa8ULJ0TZurUBhR9OwYUfX4U4UewvuSwpeoyPWMyLZMo+vYkuf9ODFRFcMysAkfNzPP69ljR11t1W8Hzle01tpadRNGXMCpJ0EwYM1lT47gZORpemvUlm201l4rjt4LnporD1prL9ETRlzCBUYRg8Ywci6Zn2dDb4KnX+9g2oOhr1nrurHkU0zpL5xRYOC1R9CXsIgmaCftM2lA5ZnqWBR0pNpRttlbiGVQSRV/CZEIIwbzuDPO6M2zpt3lqbR8be+vDKvqWzk0UfQkxSdBM2G+air75A4q+zYmiL2GSMrMjxeUds9lRcXjq9aGKvtorsaJvyew8R/fkkgfBw5j9DppvfOMbR339d7/73YjrCCG4++679/fQCRMMQ1NY1JVhbqLoS5jkTMvHir7+mstTa/t5dVuV/uouRV/j9X6e3VDm+ETRd9hyQEag/T6oEIkRaDcmUp1mOwgjyZaKw4ayjRdEg2o9DUWhkIotQxkj6ehImNhUbJ9n1vYNUvRBPL6vq4JjZuZZkij6Jh2HpE7z3nvv3d9NE6Y4qiKYU0wxM2+xrRb7bZ0BRZ8XReyoe5TsIFH0JUx48imdc4+dwcmLunhuXT+r9lD0rdxYZtXmCkfNyHL87AJZK/ksT3XGxQiUsG9MtZbmnkgphyj6muiKQtaILUOJoi9houP4Ic+vL7FyD0UfQM7UWDyg6CukE0XfRCYxAiVMaIQQzMiZTM8a9DY81u2m6POjiH4nouaFpHWFnpyVKPoSJiyWrnLK4i6Wzu9g1YCizx5Q9FXdgGc2lHhle40F3RmWzsnTlTUP9SkntJkkaCYcNIQQdGdie1DJ9lk3rKKvkSj6EiY8hqZw4oJOjt+Lom9OR4qlcwvMSBR9U4YkaCYcdIQQdKQNOsag6JuRNenOJIq+hInJ7oq+V7ZWeXpt3yBF34tbq2zst+nJWyydmyj6pgJJ0Ew4pOxN0beh3LQMJYq+hImLqgiOnpXnyJk51m6v8dSeir4dNbZWHLqyBkvnFJjflU6C5yQlCZoJE4JE0ZcwFVCEYNGMHAsHFH1Pr+1ja2mwoq+35lFI6Sybmyj6JiNJ0EyYUOyLom961sRIzCwJE5CxKPrKdqzoO2FOgSNmZJIHwUlCEjQTJiSJoi9hqrC7ou/ptX28vr1OqbbLMlR7NVb0HT87z9Ezx0fRJ6VMuoPbRBI0EyY0uyv6NlccNo6g6OtI6fQkir6ECcy0vMUlS2NF39Pr+nll62BF3+Nr+3l2Y5njZuU5btaBKfqa5ffNQCmEwPd9dD2pHz1Q2h40G40GTzzxBFu2bMF13RHXe+9739vuQydMYXRVYX5HmjmFFFuqDhtKuxR9XhixrebS1/ApJoq+hAlOR9bkjUt6OHVRF8+s6+fFzeVdij4Xnllf4oVNZY7uyXH87MJ+KfqawXLj+rU8/eRj+L6PY9v0zJzFyaedQaHY0e7LOmxomxFISslnP/tZvvWtb9FoNEZdL3HPDmaqG4HGg0hKtlYHK/qa6IpC3tToyZlkDTXplkqY0NTdgJXr+3lh42BFX9bUUBXBkQOKvtw+KPr6+3pZ+exT3H/374d9/Yyzz+OMsy8gk8225RomGxPCCPR3f/d3fPGLX8QwDK666ioWLVpE9jD9gySMP4oQzMpbzMyZA4o+m4a3yzLUa8d1n4miL2GikzE1Tj9yGicu6BxW0ffE2n7WbKmyeHqWZXML5FN772K9+/e38+rLawA45rgTmLdgEbPnzOXFVSt55KEHePgP96NpOudfdOm4XttUpG1B86abbiKfz/Pwww9z7LHHtmu3CQmjMljR57O+1KDqJIq+hMnHIEXfphLPrRuq6Jvdkdpr0HzkoftZ/cJzmKbFkqUncdXV17RmpZozbwFHHH0cP/2v7/PQA/fEvx91zMG4vClD29K0du7cyXnnnZcEzIRDQqzoMzhpVoGls/LMK6bID8yeEiv6Al7ra7Bqe42dDY9knoKEiYqhKZw4v5M/OWsB5xwznTndWYpZk4ypoqqwoX/k4a+NG9bxyEMPAHDs8Us594KLUBSFKIqIoggpJbNnz6Vn1myiKGLTxvUAyfdhH2hbS/PII48kiqJ27S4hYb8QQtCRMuhIGVQcn/Ulm976UEXflkTRlzDB0VSF4+YUOXpWgVe3VdFVhYXTs6xZ39sKnHM70q31fc9j5dNPUq2UyReKnHzaGXRPmwHsmv84iiJ0w2DuvAWsfe0VNqx7HSDpfdkH2tbS/PM//3Puvfde1q5d265dJiQcEHlL5/iePCfPKbK4K0Pe2tXyrPshG8oOK7dW2Vp1CaPkSTthYqIqgqNm5lk4Pc4ROXpeF0fP6wLiVmczgG7csI41L8aJLaecdiazZs8dsq9m8Ny+bQsA+XyBMAyTluY+0Lag+Wd/9md88IMf5JxzzuH73/8+mzZtateuExIOiKai79Q5HRw1LUveiseE/CjCDkI2VRxWbquyuRLXgE5VpBz7T8LEZ/fguXZnlceeWUm1UiabzXHCictH3K7U30cQxNULQRiiKErS0twH2qqe+PCHP0yhUOCDH/wg8+bNQ1XVYX807cB7hZ988km+/OUv8/a3v505c+YghNjrH37z5s185CMf4YgjjsA0TdLpNEuXLuVzn/sc1Wp1xO1uu+02zjvvPPL5PPl8nvPPP5/bb7/9gK8h4eCSNlSOnpblDXOLHDs9R9HSyZsafhThBCFbqi4rt1XZWLbxpljwLJVg586x/5RKh/qME8bK0fO6mDctxdpXXqTmBsw+ein5QnHE9culEuVSHwAzZ81GCJG0NPeBto1pPvzww1xyySXU63WEEHR2do5ryckNN9zArbfeOub1X375Zc466yx27NjBggULuOKKK3AchxUrVvB3f/d33HLLLaxYsYJCoTBou29961t87GMfQ9M0LrroIkzT5I477uCKK67gn/7pn/jIRz7S7ktLGGcsXeWI7gzzOlJsKttsKu9S9MGBK/qCIMBxnLgWWQgMXceyDt2UUFKC70Nv7+DlYRTiuh5hECAEaJqOYZooQtDVFW+XNEAmB1s3byJyKszoLjJv4ZHDjnlC/NncumUTO3dsR1EUjjt+2T4fq1IuEUUR9XqNadNmYJiH10TbbQuan/zkJ6nX63zuc5/jYx/7GPl8vl27HpYzzjiDpUuXcuqpp3LqqaeyYMGCUQ1Ef/3Xf82OHTv4i7/4C7797W+jqrFlo1wuc+mll/LII4/wjW98gy984QutbdasWcMnPvEJTNPk3nvv5YwzzgDgpZde4swzz+RjH/sYl156KUccccS4XmvC+GCoCgs7M8wpxIq+TWUH/wAUfVJKKtUqjuPiOBCGIADDcDHNOrlcDvMQ32A6OgEk9Xod23YR7AqMQnhAA9fNAIfXjXCy8/KLqwGYNXsOJxw1j2kzuoZNGKpWyry4aiUAx51wIrl83EgY7YEuiiIURaFSLrHy2ad44tEV+L6Hpuloqsaxxy/lDWeeSzaXG89LnDC0LWg+/fTTnH766Xzuc59r1y5H5a//+q/3af0HHojTsD/zmc+0AiZAoVDgk5/8JG9/+9t5/PHHB21z4403EoYhH/nIR1oBE+Coo47ib/7mb/j4xz/OjTfeyD/90z8dwJUkHGrGrOizYsvQSIq+SqVCtepRr4NuWBi6TiQljYaD4wSEUYVisYBpGAf5CnchBNRqNeq1+Dw1zUA3DJAS13NxnIAgaBA/fyaBczIQRRFCxL0hUkoKHbEirzneCbBmfS9hENC37mXWr30NgCUnLGslBo1GM6Dec+dveeG5p4miCNO00FM6fb07WfHgvTzy0P2cff5FnHr6WaTTmXZf4oSibWOauVyOBQsWtGt3bWcsT/hdXV2Dfm+OW1599dVD1m0uu+2229pwdgkTAVURzCmkeMO8Do6clmV61hxU67mj4fHijjov76xTdYNB40Cu59FoeNTrgly+SC6bwzQtUlaKYrEDRbGo1aBerx+qywPA931sOw6YmUyebDaHaZiYpkU+V0DTU9QbUG80kCTjXBMdKSWKohCGce9IJpvFMIwhY5RHz+siqzR48OFHqbkBRx93PHPmLRjT/oUQbNuymZXPPBlPebZgEde894O8/8Mf5S+u+yQnn3YGURTxwD13sOKBe6b8+GjbguZll13GI488MmGdspdccgkQj4Xufo7lcpmvfvWrAHzgAx9oLS+VSqxfHxf+nnTSSUP2N3fuXLq7u1m3bh2VSmU8Tz3hINNU9J02t8ixM3L05KxBwbPX9nhpZ52XdtYpOz5SShzbxnHAslLo2lBjSyabJfAFnhvg+f7BvqQWruviuaAb5rAzXqRTaaRU8L0Iz/UOwRkm7AvNVuCsOXMRQrBj2zaqlTJCCIJg14NdtVrhqcceodG3hWLWYv7xp9HrilFFCbvv/+U1cfdvsaOTM84+j7nzF2JZKbq6p3PZW/+Id7/vf2KlUjz8h/tZ+cyTwNQVJrQtaH75y19GURQ++MEPUi6X27XbtvEP//APnHDCCfyf//N/OOKII7j66qu54oorWLBgAWvXruWHP/whF1xwQWv9ZsDs6Oggkxm+u2HOnDkArFu3bkznsGTJkmF/Xn311QO8uoTxQAjB9KzJKXMKLOnJM7swOHj2Oz6v9DZYvaNGX8PD8yWGMXyPhkCg6QZBAGEQDLvOwSAMQoIAdH3kLmJd1/H9OGkkYXIwb/5C0uk0O7Zv45U1LwKgaVorM/beO37H0088BsCpZ5zFBWedzFFzO4HBtZ4j0RS7+77faqEKIVqmoYWLj2TxkbGO74WVzw50GU/NLLK2jWn+9V//NSeccAL/+Z//ya233sopp5zC7Nmzh+0zF0Jw0003tevQY6Knp4f77ruPa665hjvuuGOQhOHtb387J5988qD1a7UaAOn04Oyz3WkG09HKVRLGHyllq0BbVVSUNk/i21T0daV1So7P+n6bku3vsgy5ESU/wvcjfNum07KSeQsTDipd06Zx8WVv4fZf/oyf//i/Wf3C85x48qlUyiVeXrOal1avAmDZyadwwcVvam3XHPccyTLUZOasOWiaTr1eY/3a1zjmuBNaAblZ7tccAgsCv5U8NBVpW9D8/ve/3/p/uVzm7rvvHnHdQxE0n3vuOS6//HJUVeXWW2/l3HPPpV6vc8stt/DpT3+a++67jxUrVnD00UeP2zmMNA1Nc2qwhH1DSkmj3sBxHPwgQkpQVTANg3Qm3fbANZKir9TwcP0ANwzZWCmzo1GnoGt0pdKkU/ENKJKSwPfIZmhLnfL+omoqmhbgey7GMK1NicT3PHT90J5nwr6z7ORTCaOQe37/W1Y//xyrn3+u9ZppWZx0ymmce+HF5HJxZcPuLcE9g6eUknmdu3rYembN5uzzLuS+u3/HQ/ffQzabY868Ba3AWK/VWPvaKyiKQj5fJAyDKfv5adtV3Xvvve3aVdvxfZ+rr76azZs38/jjj7N8eWzLKBaLXHvttYRhyPXXX89nP/tZfvzjHwO0akxHmxu0mdSRO0xSrScSURRRLpdp1ANsG6JIQSiCKAwxLQ/X8yjk85jW+GSAxoo+nR39VV6NPLZ5GnYUEYQQSokbBJT8Ch2uS0+hQKNWQzckhqEd0laoZVk4lkul7OF6LuYe3cm23UBRJLqhYJiHLss3Yd/RNI3Tzjib5aeezlOPP8Lrr7yMZaUAOO2sc5jRMxNFUVqtwybNrlQhxJDgue7Vl6hufo3XX3uZQqEDIQSbN23gP/7vd1i0+ChOOHE5vTt38OrLa+jr3cm06TM44qhjME3rkLwHB4O2TUJ9qLEsC9d1hx18fvDBBzn33HNZvHgxr7zyypDXN2zYwLx58+jp6WHLltjJWCqV6BhI3a7VasOOa06bNo2dO3dSLpcPqC41mYR636lUKlQqLo26QiaTa93gwzCk0agjI5d8QdDV2dn27tomnufR31emXAFUi60Nm17Hp+KEICWRjNCUCE1V6DBVZhcUOjuLGAc5aEoZW356e6GzK24V1OsutRqoqo6u60gJnu8iRIjvK8yfl2b2bDORG0wh9uwyXffaq0yb0UN6mHublJLXXnmJ79z4TwSBj2lanLr8JKb3zKJeq/Lk4w/j2DYA+UIR0zSJoohLr3gbc+cvnPDDExNiEuqJzMaNGwGG2H6aNJf39/e3lhWLRebNm8f69et5+umnOfvsswdts2HDBnbu3Mn8+fPHXeSQMJgojHAcl0Ydsrn8oC+oqqrkcnkq5RKu6+M4DunMyOPSB4LdsLEdMIwUmUyWYi5Lf6XC1rpNnxviBSENP0DVJa6mssnX8BsBM7IqxjgF8r0hZTOpQ6CoDr7nEwQ+CEilQNcEnp8+5BKGhPawe6ty91bm9m1bufv3v+H1V1/h7PPfyCWXv3VQ63PH9m2seOA+spbKwsVHs+D405k9fxEQj3medsY5/OH+u3n6iUeZPmMmF77pcjo6OtGHKXeZaoxL0AzDkJ07d45q6Jk3b954HHpYenp6gNjwU61Wh3SnNqUGe9aZXn755Xz3u9/llltuGRI0b7nlFgDe8pa3jNNZJ4yE67l43q5W0nCYVgrX8XHc8QmaUko838N1oFCMu8CEEHQWChSyWeoNm+2Ow5ZahGkKQlXDl7Cp4gwo+mLLkKmNbhlqN/19zf9lkDJFFLlACAik1AAD00ial1OFPTNYm7+/suZFNm3c0Fq253q9O3a0snDfcPa5LDkh1u29uG4n6/vqCKFy8mln8PKLq+jv24nnua2AOVWzZpu09XH3zjvv5IILLiCTyTBr1iwWLlw47M+iRYvaedi9csYZZzB9+nTq9Tof+chHBgXzzZs387GPfQwYKjG49tprUVWVf/mXf+GRRx5pLX/55Zf54he/iKZpXHvttQfnIhJaSCmREhR15ICjqiqRBDlOU37JSLZmBFH3OA9VVcnnshwxrZslxTyzsgYdab1VruKFEVuqLi9sq/F6XwPbH9/aZiFA16Gra/DP9GkKc+akmDcvy7y5GWbNNOnujr2zup54Z6cyCxcfQTF2KnLqGWe1ljdbiRvWvU4URUybPoMZM2a2lh8zv5tj5nfHtcl6jq55R9C7cwePP/IQcHjMy9m2lubPfvYz3vWudxFFEd3d3cyfP39che233347N9xwQ+t3z4sLsU8//fTWss985jNcfvnlWJbFv/7rv/KOd7yDm2++mbvvvptTTjkF27Z5+OGHqVarLF++nE996lODjnH00Ufzta99jY9//OOcc845XHzxxRiGwR133IFt23z7299OvLOHAEVRUMTo9Y5hGKAIxm08UygCIUBR4nrG4TIFpZQQRczKaxQ7i+ywAzaWbNymoi+K2FZ36bP3rug7UIrFfZvy6zC49x3WzJw9h49+4lP09/XS0bnLhNYMev6AgMN1nWFbosfM7yaKIl7qSPOcF7Jpey+23SCVGp+hkIlE276hn//85wH4t3/7N973vveNe43Ojh07ePTRR4cs333Zjh07Wv+/6qqreOyxx/j617/OAw88wG9+8xsMw+DII4/kne98J9dddx2pVGrI/j72sY9xxBFH8LWvfY0HH3wQgFNOOYVPfvKTXHHFFeNwZQl7wzAMTEtQbwRxecQeLtemocdKjU2fuD8IIQb0cy623Wil8e+OY9tomkQ3VExDZ46hMytvsa3qsqFkY/thq9ZzR8Oj5ATkzTh4Zg217U/tSSBM2JPdA+buLD7yaB75wwNUymVefWUNXdOmDfTw7KrL7O/rpVGvUciYdGQNdjqA0xi2znMq0bbs2VQqxZlnnjlqfWbC8CTZs/tOrVajXLKp1wWpdAbTjKfe8n0fu1FHCJ9CQaGjs2PcHuB836e/r0S5Aqpqkk5n4m7hMMJxbFy3Qb4AxWIOyxqcgi+lZEfdY33Jpu4GrZlVAHRFIWOo9ORMCqZ2WHR5JUwcmiHh5z/+L5598glmzJzFVe/4Y2bPHZyH8uA9d/HQA/dSr9W46h1/zMlvOAMpJS9taA2cM7cjzaZ+m4ypUkxPnBKmCZE929PTQ3d3d7t2l5AwKplMhjAIEYqH3ahRr9XiJ2BFYlmQSgly+dy49njouk4unwVqNGyXStlFSgFIDBPyBchmU0MCJuxS9E3LGPQ1YlFCxdllGSo5EXUvJKUr9GRNOlJ6EjwTDhpCCE4/61wq5TKvvfwS/3LjP7Jk6TJOPPk0yuUSWzdv4qnHHiGKIjq7u1l28qmt7Xav9VzbW+euF7ajKoL5XWmWzinQnZvcmdltC5rveMc7+M///E8cxxn2JpGQ0E6EEOQLeQzTwbJsgiCujVTUWOeVTqVRD0JmaiqVQtM0rIaN47oDMzeDYeikU+m9CgKEEHRlDDpHUfTZfsTmqktP1qQzraMkwTNhHGk+nM2eO48//h/vZ8WD9/HQfffwwnPP8sJzg3vDembN5sI3XYamaUMyZ4+e18WLm8utRLcXNldY19tgdjHF0rkFegqTM060rXu20Whw/vnnUygU+Jd/+RcWL17cjt0eFiTdswdOFEZAM0Hn0AQVKWWcrSs4oBbu7oq+PbttDVUwI2vSnTZQlCR4JhwcXMfhycce4aUXV6EoCq7jMH/hIpafejrd06ePuN3aHTUefWUnpbpHqbaraiFrakzPmyybU2B2R+qgf2cPpHu2rUagSqXCmWeeyZo1a1iwYMGowvZk7HMXSdA89ERhRDAwJ6GmaRNCNl1zAzaUbLbXXSrO4OCpKYLpWYPpGRM1CZ4JB4lmkl1qt4ks9labKaVk7Y46T63tY2fFGRI8OzMGy+YWmNeVPmi9KBNiTHPTpk1cdNFFvPTSS0gpefXVV0ec8ioZm0mYKARBQL1Wx/U8mhUsui4wTYNsJjtuJStjIWtqHDsjxwI/zYaSzdaqS9nx427bCDZXXLbVXKZn4rFR/RCea8LhgRCiFTB3z6Td2zYLp2dZMC3Dpj6bp9b2saW/QanmUnMDam5AX90jn9JZOqfA4mmZCd2L0rag+fGPf5w1a9Zw0UUX8dGPfpRFixaNa51mQsKB4nke5XKFel3iOrtkCVKGWJZL4AcUCoWDMjY6Gild5ahpWeZ3pNhQcthScYikHBj3hC3VOHh2ZwxmZM1DpuhLOLzY18aPEII5XWnmdKXZWrJ56vU+NvTWBwXPiu3z9Pp+Tphd4MieLNoE6PHZk7Z1z3Z1ddHd3c2qVauGGFISRmfJkiUEkeShJ55GO4RjcocTUkr6evsolSLAIJPNtj63vu9Tr1cx9JB8QWuJ+ycKXhixqeywqWwTRnLQuKehKnSldGbkTKxDHOwTEvbGzqrD02v7eW1bjVLNaS3PmhqWrrJkdp5jenIYWnuD54Tono2iiOXLlycBcz+RUuL4IULENz5dVZLgOY44joPjRERSpVDID3qvdV0nnytSKvVhWQG+70+oWRsMVWFhZ5q5BYvNFYeNZQc/HLAMhRFbai69DZ+OlE5PziSlJ9/JhIlJd87i4hNmUlrk8czaPl7aWqW/6rRank+u7WflxjLHzsyxZFYecwJ8ltsWNE8//fQRxzATxkbTqerKCC+IMLQkeI4XnuvherSkCHuiqAq6YcRyeNebUEGziaYqzOtIM7uQYmvVYcMhUvQlJBwoxYzB+Ut6OHlxF8+u6+fFTRXCKIqThlx4dkOZFzZVOLonx5LZeTLmofsst63N+8UvfpGVK1fyve99r127PKxQFdEai5JSEkmJG0TU3QA3CKf8dDsHG4lERqAqI3/5NFVDRvG6ExlVEcwupDhtXgdHT88yI2u25PBNRd+LO+q8tLNGxQ2Sz1LChCVn6Zx99HT+5KwFnLSgk2mFFMWsSc0NKNk+L2yucMsTm1jxSi9Vxz8k59i2cP3888/z/ve/nz/7sz/jv/7rv7j44otHLDkBeO9739uuQ08JFCHoTBvYfojjh0jisSsJeEGEH0ToqoKuKZOuuD0KI2zbxg98pJSoqoplWRjGodNqKUJBUWOxOwx/Hr7vY5jxupMBRQh6chYzsuYQRZ8fRfTZEVU3jBV9WZOClSj6EiYmaVPjtCO6WTa/gxc2lnlufT+uH7bKVZ5c189LW6ssnJZh2dzCQVX0tS0RSFHibsTm7kb6MjbTlMNwfKdDmkwsWbIEgJUrVwIQSYnth9h+iJRx8IRd76muKhiqMqHTsps0Gg1qtTquC95AeZamgWlByjLGXXU3Eq7j0tdfoVpRKBY7EHucQxAEVMr9dHRCV2fnIc+g3R+klEMUfU10RUkUfQmTBj+IWL25zLPr+mm4wZBaz31V9E2IRKDPfvazyRevTShCkDE0UrqK44coPkS7BU8vCPHDCE0VGKo6YYvbbdumWqnHQnPFwLQsBAI/8CiXHIKsh6RCsVg86OdmmAamqeKZIeVKiVQqE7d8pcT1XOxGg0wWLNOclAETBiv6yk7AulKDUiNR9CVMPnRNYem8DpbMKbJmc4Vn1vVRtf1WuUpT0TezaLFsbpGevDlu8aitRqCE/WPPluaeSClxgoiGFxJJ2QqeEN8YNUVgaArqBKppapZ09PdHGEZmkEEEmi25EoWipLOjsFdH63gQBiHlcpmGHeLY7CY3gFQK0hmdfD4/IexA7WI0RZ++m6Jvoj6IJSRA3Bv3ytYqz6ztp7/uDlX05UyWzR1Z0TchWpoJ44cQgpSuYmkKbhDR8EPCKA6eUkr8UBJEElWJM27VMVg6xps4OzUu6dgzYEKsqrOsFI7TwHGcQxI0VU2l2FHEshxsyyaMIoQAVVVJpeLZSQ71+9hu8pbO8T06dS9gfclmey1W9DUtQxvLDlurLtOzBtMyJloSPBMmIIoQHDUzz5E9OdbtrPPU633sGFD0NctVtlddOjIGS+cUWNDdPkVfEjQnEUIILF3F1BTcMML2QoLdgmcQSsJIoopmy/PQBc8wDAkCRi3V0A2DRr3Rcr4eChRFIZ1Jk86kiaKotWyqkzE0jp2eY0HH6Iq+aRmT6YmiL2GCIoRgwbQs87tjRd/Ta/vYvIeir7/u8fR6naVz8iyalj3gXpT9/ia8613vYvXq1Qd08BdeeIF3vvOdB7SPwxEhBJamUkzp5C2NtKEOKlcJogjbD2l48djnoeqBF4JRjy0jyURqyCmKckgCZhiEuE5cDxrt1vU+3kRhhBqFLMgbnDIrz3EzcvFnytTwowgniNhadXl+W5UNZXvQsEBCwkSiqeh7y8lzuOqUuSxd0EUxGycF1dyAzSWbP7zcyy1PbGTV5ko8hd9+st8tzbvuuouf/exnvPWtb+W9730vl1122ZhKCDzP47bbbuPmm2/m9ttvn3CKssmEEAJTiwOmH8lWkGy2PEMpcXyJIsDQ1IOq6NN0DUOHRt1DRtGQ7FQA13PQ9dFbo1MZz/NoNBp4rt8aT9X0OPkomx0/WXwYhNTrdRzXJRgoddM06DJ1Zs7Msq0RsrniEAxYhgA2VRx21L1E0Zcw4ZlRTPHmE1P0Vl2eXtvHqwOKvmbL89HX+qjYAdZ+yj72O2i+9tpr/P3f/z3f+c53uPXWW8nlcpx++umceuqpHH300XR0dJDL5ahWq/T19bFmzRoef/xxHn30UarVKqZpcv311/O///f/3t9TSBhACIGhCoyUgh/GY55esHvw5KAr+gzDQDdUdCOkVquRzeUGHdN1HQLfJZuJJ3I+3PBcj1K5TL0el+Jomh5LLaIAy3LxfZ9isdj2zN0gCCiXytTrEY4DihLXagaBj2H6ZLMBswt55haLbK64bCzZIyr6ZuRM0hNAa5aQMBxdOZOLTpjJqYs9nl7bz8tbKvQNKPo4gNvfAWfPbt26lZtuuombbrqJtWvXxjsd5obcPMzChQv50Ic+xAc+8AFmzJhxIIeeMuwte3Z/CAaCpzsQPJsIIRBwUBR9vu9TKpWpViWBH2vpFKHg+x6RDMjlIJdLHXaz4URRRF9fH+WSRCgmmfSuVmU8VVkVXQ/GRRbf19dHpRISBjqZbK7lio7CiHq9hpQuxaJCZ1dnXE8dySGKvia6olAYUPRlE0VfwgSn5vg8M6Do+/Hf/jFpYwJMQr1q1SoefPBBnnvuObZv3065XKZQKDB9+nSWLVvGOeecw7HHHtuuw00ZxiNoNgkjScMPcP0Id5jgqasKhjZ+wdP3farVKp4X4nmABFUF0xKkU3ECzuFGo9Ggr6+OY2sUikODYhRGlEp9FIuSzq5i27qvPc+jr69MuSTo6Ogc0mUupaRc7ieTDunozA7qAYikZHvNZX2/je2HQ4JnzowtQzkzsQwlTGxcP+SqN56OoSqHvuTkuOOO47jjjmvnLhMOEFUR5EydtC6HV/QNjIEa46To03Wdzs5OPM/D9+IBNEVVME3zsMhSHQ7P8/BcMC1r2NfHSxbfPK5hmsOOMQshME0Lx63jud6goLm7om/ngKKvlij6EiYhBzpTStKncpigKoKsGWfa2n6I8Bmk6HODEC+Mxk3RZxjGIXXNTiSas9koYuQvr6qobZfFxxMBMOr0fYqighz5uEIIpmVNujMGfbbP+v5dij4/iig5EXUvTBR9CVOWJGgeZoym6JNS7lL0KQJDm7iKvsmMqqgoajCqLD4IAkyrvTWjqqKiquB7AYyQexUEPoq69+MKIehKG3SmYkXf+pJNf8MbVtE3I2vSlSj6EqYISdA8TFGEIN0Mnnso+na3DE1ERd9kxzRNLMulWrExTWtIaYnveYShh2GAZQ7fhbu/xzWNOo26O+zE2lEY4ToOheLYjyuEoJjSKab0IYo+P4rwvQi3FLGl6iSKvoQpQRI0D3Mmo6JvsrOnLD6dTmPoRjwBuefg2A0yGUilhgbUA0HVVCzLJJN1qVbKpNJpTMNCCPD8uGY0lZaYprZfWsOhij6Pym6WoUTRlzAVSIJmAjC5FH2THSEExUIRZAnNDnGcKrVqbFDSDcjlIZ0yxqUUJ5fPEckIRfFx7Dp2o46UsaQ+k4ZUWqWQLxzQMXYp+sKWok9KOdD6TBR9CZObJGgmDKKp6DNVBS+MdXx+uFvwlJLQlygDwfNgWoamEoqqxLL4lINjO4RRPL+srutYloVpjs/URkIICoUCluVi2zbBgIqoOTF4KjX8rBD7Q0pXOWpalvkdKTaWHbZUHMJoV/DcWnXZXnPpThvMyJoYWhI8EyY+SdBMGJZ9UvSpKpqaBM99RVEU0uk06XR6r5O3txMhBJZlYVnWQTmuqaks7sowr5hiU9lh056KvqrDjoZHZ0qnJ1H0JUxwkqCZMCpjUvTJEBEePEXfVORQvWcH87i6qrCgM82cojWsom9rzaWv4VMcCJ6Joi9hItL2oNnb28sPf/hDHnvsMXbu3MmFF17IJz/5SSCe1eTVV1/loosuIj3MHIsJExtdVSioyhBFX7Pu0JURXhCha3GtZxI8E4ZDUxTmFVPMzlsDij4HN4gtQ14Usb3u0m/7saIva5I12/9sL6VMPp8J+0VbP40//elP+dCHPkStVmt9KGfPnt16fdOmTbztbW/jBz/4Ae95z3vaeeiEg4imKuRVZUDRF+L6IW4zeAJeEOEH0bgr+hImN6oimF1IMTNvDVH0+VHEzoZH2QnaoujbsxtaCDFs2U1Cwt5oW9B8+OGH+ZM/+RPy+Tz/+I//yNlnn81pp502aJ0LL7yQQqHAz3/+8yRoTgFiRZ9GWldHVfQ1g2dS3D4yUkqiMEIIMW5Tgk1UxqroS+sqPTmT4n4o+prrr1/7Ok899gi+72HbNjNnzebUM86i2NE5HpeWMAVpW9D80pe+hKIo3HnnnSxfvnzYdVRVZfny5Tz//PPtOmzCBGBvir6mZWi8FH2TmSAIaDQauK6LjAABuq6RSqWwRnDTTlX2pugru/GwgKUp9ORMOvdB0dfXu5Nnn3qCe37/20HLX35xNQ/ccxdnnfdGzr7gjWSzufG4tIQpRNuC5ooVKzjjjDNGDJhNenp6ePTRR9t12IQJRKLo2zdcx6VcqWA3wHVBSoGUEsMIcNJVMhmPfD5/qE/zoNNU9HWlDUq2P1TR50U4/U3LkMW0zN5FDHfc/iteXvMiAMedsIwFixYze+48Vq18jhUP3MtD99+DrmtceOnl4315CZOctgXNRqPBtGnT9rpef39/uw6ZMEFJFH17JwxCKtUq1QoIYZLLp9E0DRlFOK5DtdJAShdNbRyW06c1aSr6qm7A+v4GOwcp+iDl+HsNmg/dfy8vPPcspmWx9KTl/NE1/6Pl1p23YCFHH3cc//39m3jgnruYt2ARRx6TTF+YMDJtu1vNnj17r3OTSSl5/vnnWbhwYbsOmzCBaSr6OtM6OTMOosbAeF0cPOOA2vACgoGAerhgOza2LQGDXD6PpsXPr0JRSKXSpDNZGnWwbfuwel9GImdqLOnJc8rcIkd2Z8hbcQJPztKoecGI221Yt5YVD9wLwPFLT+T8iy5FURSiKCKK4s/c7LnzmTV7DlEUsWH9WoDkPU8YkbYFzUsvvZQ1a9bw//7f/xtxnX/7t39jw4YNXH550gVyONFU9HWkdPJWnDi0e/AMBsxDthceNsHTdVxcl0FzVu6OaVpEUsXzI3zfP8hnN3HJGBrHTM9x2twiJ80usKQnz8KuDDUvGBI8Pc/jmScfp1IuUygWOfWMs5g2YwYQiyUURRnoDjeYtyB+kF/3+mvAoaubTZj4tK179lOf+hT//d//zXvf+16efvpp3va2twFQr9d5+umn+cUvfsFXv/pVpk2bxsc+9rF2HTZhErG7ZcgLJbYfHLaKvkhGRCGtFuZwqIpKFIZEUXQQz2xykNJV5hR2PXAs7MoA8HpvHYCsobFh3eu8+MJKAE4782xmz503ZD/NbtqtW7YAUCgUCcMQRUlKpRKGp20tzTlz5nD77bfT3d3N1772Nc466yyEENxyyy2ccsop/P3f/z3FYpFf/epXTJ8+vV2HTZiExMFToWDpFFI6WUMb1PIMowjHj7tt/WBqtjyFEAgFgjAccZ0wChEKKOLwG/PdXxZ2ZVjYlaFsuzz/wip6+/vJ5nIsW37KiNv09/UOzG0KYRgkATNhVNoqNzjjjDNYs2YNN910E3feeSdr164liiLmzJnDxRdfzIc//GEKhQObQSFh6nA4K/pM08QyHRzbHrbA3nVdhAgxDQXdSArw95UZKcHO9S8DcNxJp6KmRy4lKZf6KfX1ATBz9lyEEGM2Bj39xGP09e7k3DdenIgSDhPaFjS//e1vk06n+dCHPsR1113Hdddd165dJxwGtBR9UZwcNNUVfalUCttyKFdcarUq6VQGRY3H2DzPpVGvkc2CZVmT/loPBZs3bWTb1q1MK+Q497QTAVpjnllj120vCAK2bNrEju3bUBSF45edOOZjBEHAg/fcxY7t21jxwH2cec55nHnuBaQSReiUpm39Ptdffz233XZbu3aXcJiiKQp5S6czbZC3dMwBIYKUMi5bCSLqboDrx2UskxVN08jlsxTyAA6lUi/9/X309/XiOlWyWUkmYxzW5SYHwuqBTP45c+eSy+Vb3bbAoKShSrnEqpXPAnD8iSeRLxSBsSUCaZrG2971Jyw7+RQ81+W+u+7gHz73v/ntr35BtVoZh6tKmAi0raXZ09Nz2BlMEsaPPRV9QuyyDE0VRV8qlUJVVUzTxnU9wihEEaDrKlaqvXNbHk5EUYRQdo2Rd3TuUuTtnjBUaji8sHo1a197FYATli1vJQaNlbnzFzB3/gLOfePFPPzg/Tz9+KOseOA+VjxwHyefdjrnXngxnV3dbbqyhIlA24Lmm970Jn7729/ieR6GsXdDR0LCWJjqij7DMDAMgyiM4sQfIUbNqE0YHSkliqIQDkyuncvlMAxjyBjlwq4Ma19/jZVPP4kfRRy95IRW2cm+EEWxL3j6jB6uvPpdnHPBhTzyhwd48rFHWj9Lli7jgkvezIyemW27zoRDR9u6Z7/4xS+iqirvfve72TKQvp2Q0C6air7OtEHGULEGxjaBlqKv7gXYXkAYTb5uW0VV0HU9CZgHSDMwzp03HyEEW7duoVwuI4QgCIJWJnalUuGRh1dQ2rKevKXzhrPPJ9LNUUUJw9HMtG2KEjq7urnsyrfz8U9/luNOWIamabzw3LP8x798h9dffbnt15tw8GnbN/TTn/40y5Yt4+c//zm33347y5cvZ968ecN22QohuOmmm9p16ITDiETRlzAWFixcSDqdYfu2baxZvZrTTj+99UAipeT3v7mdxwcc2GeedTbnnXICUkrW9jWGTRjaG8pu3cFCCCrlEvValSAI0DSNcy64iFmz57b5KhMOBUK2qQhuX8YChBCEo9SnHW4sWbIEgJUrVx7iM2k/+/Lp2p/hOyklbhCXq4SRbHXbxvsTqIrAUBXUKSxKSBieR1as4Gc//QlB4HP8CUs59Q1voFQq8eKqVaxeFScKnXzqabzlyqsoFAqDunCbkgTYt+AJ8NLqVfz+17eyfdtWMtksZ517Aee88aL2XVjCAfPmc07FUJW9ql+Ho20tzXvvvbdduxoTTz75JHfeeSePPfYYjz32GJs2bQL27oz0fZ9//ud/5r//+7958cUXiaKIWbNmcfbZZ3PDDTcMmjS7yQsvvMDnP/957rvvPmq1GkcccQQf/OAH+cu//Mt9Thw4nCiVYF8McLoOxeK+HaOp6DM1BW/AZRtEu1mGQkkYSVTRbHkmwfNw4ZTTTiOMQn53++08v/I5nl/5XOs107Q47Q1v4KI3XdqaSWbPMc8mu1uG9saqlc/xu1//kv7eXqxUijddcSUnnBjP/DTW2s+EiU3bWpoHm6uuuopbb711yPLRLqevr49LLrmEJ598kpkzZ3L66acD8Morr7By5UoefPBBzj777EHbPPzww1x44YXYts1pp53GggULeOCBB9i6dSvveMc7+PGPf3zAX4SD3dIMggDHceI5HAcSJ0zTJJVKte0hQErYuRN6e8e+TVcXdHfvW4vT931s28b3PCSgKCqREPhSIYwkfiQRioKqqqiq2lL0KVK23oNIRigifg8sy0LV1H24zng/juMQBAG+5xFGEbquo2vxGGUqlcIwByfHBUGAbdutbX3PQzcMLMvCsuLM2T3HN13HbR0H4pIHy7IwLXPsb9ghwHPjCZ+DIEAid523aR6UIBIEAY8+8jCvvPQSVioeLjr7nPOYOWtWyz+7+3k0k3v2PLe9Bc+VzzzF7399K+VSiY7OTs678BJOfsMZ43RVCQfChGhpHmzOOOMMli5dyqmnnsqpp57KggULcF13xPWllFx99dU8+eSTfO5zn+Nv//ZvB92UXnvttSFzF/q+z7vf/W5s2+Yb3/hGy5lbq9W45JJL+OlPf8pll13G+973vnG5xvHAtm0qlRquG8/hGEWgqSGm1cCxbfKFQtvNJh0dowdCKWF/Zoyr1WrUazaOA54PUSRpNEpIGSCEQipTQLUMVD0iDCNUNUTXdRpOgOd5uHaAUw+JIlCU+D2wLJt8LjemQBQGIeVyGccJse2IUqmG6wVEIaiaJGVZFIoZLNsjnTLIF/IIIWjUG9RqdWq1gN6+GrYde2gV1SeVatDVmSebdcjmMqTTaaSUVMoVGraH4+xqveu6h2UN3vdEQkpJtVKlYbvx38iLl2uaj2X5pFI2hUJh3HtrNE3jrLPP4ayzzxm0vOn0bb5vr77yMj0zZ5HJZIbsA4b6baWU5Mz4u/Lkow/z+1/fim3bZHM53vL2d3LE0ce01ptof5uE/WfStjT3xLKsVstpOH7yk5/wrne9i3e84x385Cc/GdM+m9ssW7aMZ555ZtBrTz31FCeffDLHH3/8AbcQD1ZL03Nd+ksVKhVQFAPLiusE45ZnAyECCgVBZ0cHijr21tZw7N7S7Ozce9Ds69u3lmaj0aBcrlOpgGFYmKZFrVajVKpTKjnkcjqFgkWx2IkXePjSQ7cEUokLPn0fokigqhpEKqEX4Tg24JPLQ0dHcdSHBykl/f39VCshrqfiez6uB416fP5CSDIZiWlqKIogk5Hk8iaGYVAuVSmVIuoNB98ziWTcIg0CD0V46LpPJpOiWFQoFvO4rkul6lKvCVKpNPpASZfvedh2g0xWks+Z5AsTa8LqarVKteJQqwlMM4Ux0LL0PBfHtkmlI3I5neK+9skfAHsGsObvW7ds4Zaf/JhXX3mZCy68iLdcedVeA93rvXWiKOLJhx/i0fvupF6vM3P2HM6/6E0cd8LS8b6UhANgQrQ01X24yTbTvw8m3/ve9wD46Ec/OuZtbr/9dgCuvvrqIa8tX76cRYsW8fzzz7N27VoWLFjQlvMcT+qNBvU66HqKTCbbWq6qKoZhUK2UsW0f27LJZLOj7OnQIqXEbjSo1SCdzmJZKYIgIAhCoshi5szpNOpVwjAiikIyqQy+b1Atl9EsD7QUCBVzoJUgJai6gpHKUS3VaTRcLNNGL4wcNF3XxbHjgJlJZyn7VTxX0NGRR1U1XNfGdWukUgrZbI5qtYyux92rtZpAShVNzRIIlWKhgEAQyYhatYSmGUgJtRoIpQxSUK9BLj+4F0DTNHTDoFLux9Bd0plgwpSsRGGEbTvUapDN5luBHiCVSmMYJuVSP7ruH9Ta7j0DYfP3NS+uZsP69a1lowXMZqBd2JXh7jvv4J7f/Rrf95g2vYfLr/oj5i9cNH4XkHDIads3bO7cucN+0KIoYuvWra05AefPn9+uQ44Z3/f5wx/+gKZpnHbaaTz33HP89Kc/Zfv27cyePZsrr7ySZcuWDdnu2Wdjvdby5cuH3e/y5ct57bXXeO655yZ80AyCAM8N8D1BsWOomk0IgWWlaNg+juNM6KDpeR6uJ5FSwbLi6aFc18HzQNdMdN3AtFK4bh3XcTBNC13XURWNSu9OFDWgc8aMVpVyMNBNJ5WITIdFoxriuC7ZKBqx69BxHBw37uHwg7iVaRhG3HIFTDOF49h4AyUxum5Sq1WBgDDMoigC15NYVgpB/L2Jx1XTuF4VK6USBBG1agPQ0Y3ssC3fOHCaOG4ckLMT5O/mDPw9VNUYFDCbqKqKaVm4Tjyue6iFKIuPOJLOrk62btkypBt3d5oB0/d97rrj99xz112kVMnxRx/HCWddSNfsedS8YJ8zbhMmD237y65du3bE16Io4p577uHaa6/lhBNO4Ec/+lG7DjsmXnvtNRzHYcaMGXzzm9/kb/7mbwbNUfj5z3+ea6+9lm9+85uDtls/8OQ5Z86cYffbXL5u3boxnUezG3ZPXn31VRYvXjymfewvURgShKBq6oiBQDcMwhpEUhKNEjAONWEYEoagafpuyyLCADQ9vvlqmoHr1gnCXT0acRcoKFGEpZhxdi3hoOCpCtBNDampOF6AZerDKvqiMCIMIZUyaNQbhAEYe8xGous6YRgSRSGartGoSyDEMHQ8z4/PN7PnNga2DTKK0DQdzwsAlUx25Favruv4vksUTpx5N8MwJAwYtYtb03Rcx54Q84XOmTuXv/7ff0tfby+dXV0jrtcMmL/59W3cd8/dACxYsJB3XfMnTBuY8vD13vp+1XomTA4Oyl1RURQuuugifv3rX3P77bfzla985WActkX/QJZJb28vn/70p/mzP/szXn31VXbu3MlNN91EKpXiW9/6Fv/8z/88aLtarQZAeoRZC5oJA9VqdRzPvk0IgaIw6g1KRhGitfrETVyIu8/i8919GQKiKK7/lTIaGFscPH7VtOxJKREIdDRMaaBJFU1RUIWCosQSBT+S1N0Axw+J9rQMxYcjCuPjDPfehtGuc5CRRFFBUQTRgC4PBl8DNDM3B/4vQxQl/rvJPY4fhRGO42DbNrZtAxFMoD9Z828UyVE+bzJCKLRa2hOBkQJmM1eiXq/z61t/yf333gPA8Scs5ep3/THTpk9vrTOSHD5hanBQH4MWLlzI6aefzr//+7/zqU996qAdt3kzC4KAN7/5zYOC4wc+8AEcx+F//a//xT/8wz/wv/7X/xq38xhp0HmkFmg70XUdXRdANOIYkuPYGGa87kQOmoZhoOtQr/lEYYgyMCZrGC6NuotlpXBdG8MAw4izYKWU+L5HKq0CGq7rtLp2BQINDVWqOL6DJsDQRGtexabfNrYMqbEwwTAwTBvXddANA93wsRtua59RFBEGHlomblFV7QrpdNzqatQDhFAxTHA9l3Rq19fQ82x0oxloQ9IZA4FOveFgpVIgJbVaDdfz8b04Y7hWK1Eshvh5bcJkahp6/P5Uyi7pdGbYc3IdByvFpJgvVAhBqb+f2351K0898TgAS44/gXf88TXD1nnC4Gzb3VuedS+g4Yd0pY1JOdHA4c5B739Lp9Ns2LDhoB5z93Ge97///UNeb5aMbNq0iVdeeWXIdo1GY9j91utx6nkuN/IEtxOFeMzSIp2Ger3aGmNu4roOjmOTSsWzb0xkVFXFMnWsFFRrFcIwHAiaCkIJ6evdRhA4GEZcxB5FEdVqBVWJKORTFAoGjUYdb48SJd/zsSt1THwyhkZKUwf5bf0wojHgtzUMC8uEIHSJwhBDFwgljN/bwKdWL2OYYOgadqOBpoakLI18Lk8qDUHgo2kBnuvgug4SievaeJ6DpgUEgU8qDflcHsvSUJWQSrlMqVSiWvUpl8BxVKo1H8+Hhg2OE1KtTIxeD8M0MHQVTY+oViqDuo6llK3xXcsSk2J2JCkl69atbQXMN5xxBm+/+h3k8/m9ClX2bHmuK9msLzk8v63K1qo7KV3JhzMHtaW5bt06HnjgAWbMmHEwDzso+Wi4hJ10Os306dPZvn0727dv54gjjgBg3rx59Pf3s3HjRpYuHZpCvnHjxiH7n8ik02k8zwNCqtUSqqohhEIYBggRkctDOm1imu0tlt9bUdP+FD3lcjmCoJ9aPaBc6kPTdKQMCcMSQRCBkMioQKNeIwgCDFOSzQoK+WkD3Zk+9XqFhq2iqhphGCBlSDYLmYxOIRt3ye+p6Gv5bYXAzGQoYFOrNgYeQlxqtQhnZ0gmE7dIPT8zkEEryOVzaKo2IA6H3t4GENDXXyEIIjRNkLIkUaiR60iTyahkc1mCICCSFbZvK7Gz1yMITLKZHGEUkE5ppLsLWJZFve6iqC6G6UyIQJTL5wijMvW6R6nUi6YZA2OCHrouyechl81N2LHz3RFCsOzEk/j833+JF1et4sTly1vfk7G27Bd2Zai5Ac9vix9s/Ag2VRy21lymZwymZw20SfBeHO60LWjefPPNI75Wq9V46aWX+OEPf0ilUuEv/uIv2nXYMVEoFFi4cCGvv/56a3xzd6IoolQqAYNbpcuWLePZZ5/lqaee4rLLLhuy3VNPPQUwbECdiCiKQrFYRNNqmKaH5wYDFh0wDYGVSo1Y2H0g7I+4YG8oqkpHRweaXsNNeXiej0n8YOD7DppmDmSy+mQ1MEyNbDbOQNUNA1WrY5oOrhsiZTxfp2nGrZ5MZld34miKPqFqmNkMquGR9hTsuiSTbo4vqmTSaSxLGXRsoPU3sCyoVmzqDZsolKiaIGWlyBdSWJZJNptFURQMw6BQyFMplzGMiFxWQ9NCNA0MQyOdzqAbBnZDxbbrpFITI2jquj5Q71rDc308P7YbZDKgGyrZTHaIKWmiUygUeMMZ+2/50VXBMdOzbKnENeUVN8CPYEvVZXvNpTtjMCNroqtJ8JyotC1ovu9979trbRPAe9/7Xr7whS+067Bj5q1vfSs33ngj9913H5dccsmg1x555BE8zyOVSnH00Ue3ll9++eXcfPPN3HLLLfzt3/7toG2efvppXnvtNY4//vgJX26yO4qikM/niaJ4bFNKiaoo6IbR1rEwIWKX7CiJiEPQ9X1T6CmqSqFQIAxDfN+Pr2VgfNP3/VYt8J5TbgkhyGazZDIZPM9rZQrruj5sq0cIgTnQVeuHkoYf4Idx8FQUBcOy0A2DdDaNJsRAspEc9tjxeSvkC3myYUQ+Hx8/DMNY86coGLqBMsxNM53JU/Aicrl4DE1VtUHZqaZpYZfqrfdiIoxtappGsVgcqKONp+bSNK3t1qnJgqmpHNmdZX4xzcayzeaKQxgNBE9gW81jR92jKx0HT1NLgudEo21B87Of/eyIX1LDMJg5cybnnnsuixYdmsLf6667ju9+97t85zvf4a1vfWvLO7tz506uu+46IB7v3L1r8m1vexsLFy7k2Wef5Zvf/GZLo1ev11sJQ9dff/3BvZA2oSjKuLdGisXxn+UEaHlldydOfBr9xiyE2KeuaCEEhibQVR0/ktheiBdGeGGEGAi20UAWr66q6OroRfKKqmCpY/wbyPi9NHSjlWw05PwUgRxYb6IEzSaapk0Y8cJEwNAUFnVlmFtMsanisKnsEIQRFTd+0NtcddjZ8OhM6czImqT0AzN0JbSPSavRu/3227nhhhtavz/22GNIKXnDG97QWvaZz3yGyy+/vPX7v//7v/OhD30ITdM444wzKBQKrFixgt7eXpYvX879998/pDh8xYoVXHTRRdi2zRve8Abmz5/Pgw8+yJYtW7j66qv5yU9+MumE7Yc7URS1ZOlNObeu67FYfR+L7P0wwvZD3CAaMi2ZEGCoCrqqHPBnJAxCenv76O+Hjo6uVpDeHc/1aNhlOjsUurr3oYmfcMgJI8mWisOGso0X7AqeAIaiUExpzMiaZJK6z7YwITR6B5sdO3bw6MAksruz+7IdO3YMeu0DH/gAixYt4stf/jKPPvootm2zaNEiPvrRj/KJT3xi2PG8M888k8cff5zPfe5z3HfffTz77LMsXryYv/qrv+Laa6+dUE/zCXsnCALKpRK2I3EdCAIQisQwPBzbI5NNjcmq03zU1BSFnKmQ0gcHTyklUoIbRXhBhK4pGAcQPFVNxTB1dMOn3qiTzQ7O2JZSYtt1LIsJMZ6ZsG+oimBOMcWsgsXWqsuGko3jh1TcAC+K2F736LcD8pZGT9YkZ07aW/ekp20tzUajwc6dO+nq6hoUfPr7+/nKV77C888/z7x587j++uvH3X4z2UhamgeHKIro7+ujXJGEoUoqlUHXNCIpcV0H17UpFCCfz4wotIDR5wmNkISEhCKWLARRXMBvGHEJv64q6JqyX/V5nudR6i9TqYAQOpaVRlEVgsDHcWxUNaSQV+jo6Bh2TDRh8iClZHvNY32pQcMLB7U8dUUha6j05EzyppY8uO8HE6KlecMNN/DVr36Vxx57jJNPPhmIpdann346r7zySisR6JZbbuHZZ59l5syZ7Tp0QsKYcBwH24kDZqHQ0brZKICmZVFVlVqthq41SKVSw96MpIwD5sjzhApAA6Ei9BBFBysV228ktMZAdVWJ5/XchxteM4tWKFUcx8dxykQSFAHpFFiWQqFYSALmFEAIwYycyfSswc6Gx/p+m5obDGTbRvQ7ETUvJK0r9OQsilYSPA8Wbft23XPPPSxevLgVMAF++MMf8vLLL3PBBRfw+9//nr/8y79k586dQxyvCQkHA8dxcJ14lo3hbjCmaRGGAs+X+M3JH0ehoyOe9mzYnw5BMaMR1mNFn6nG3bNxt21sGRpR0TcKpmXS1dlJZ0eajk6Vrk6Vzi6Nzq4sHZ0dSbLNFEMIwbSMyfLZBZbOzDO3mCI/0DXrRxFlN+C1vgarttfobXh7FS0kHDht+4atX79+yGwgv/rVrxBC8B//8R/MnTuXiy++mN/97nf89re/5atf/Wq7Dp2QMCaiKCIIIasNn1UrhEDTdMLQIxyDRDz2yu51LTQ0OtIqbhCi+IJI7qr1HE7RtzcUVSGTzZCh/TW1CRMTIQQdaYOOtEHZ8Vnfb9PX8FotT9+LcPojNlccZmRNujOJom+8aFtLs7+/f9BkslJK/vCHP7B06VLmzp3bWr5s2bKDrtFLSIC441RRGDUgShkNrNfeLk5FCNKGRmdaJ2tqpPSRFX1jCdgJhy8FS+eEmXlOnlNkcVeGvLWr5Vn3QzaUE0XfeNK2O0NPTw+vv/566/cnn3yS/v5+zjvvvEHrJf3uCYcK3TAwjFhMPxxBEBCGAboB+jh1cwohSOkqHSmd3IjBM6ThBQQDrdGEhOHImhrHzchx6pwOjuzOkrfiHhQ/itWPmyoOK7dV2VxxWnPGJhw4bQuaJ554Io899hi//OUvqVar3HDDDQghuOKKKwat9/LLLzNr1qx2HXbqICNkmEwhNJ6kUiksC4LApdGoDwpIvu9TrZZJp8GyTBR1fIvJhRBYA8Ezb2mk9wiewUD9Z8OLu2+T4JkwEmlD5ZjpWd4wt8gx07MULZ28qeFHEU4QsqXq8vzWKhvL9qBa4oT9o22P05/85Cf59a9/zR/90R8B8Rf/xBNP5I1vfGNrnW3btvHss89yzTXXtOuwU4coRFZ3gJECM4NQD0/N2Hii6zrZbBpkg1qtQb9jo6kaEkkYBqTTxJL0MdRptovRFH1SSkIpcfx4HlBDU9GU0S1DCYcvlp4o+g4GbQuaZ555Jr/4xS/4+te/zs6dOzn55JP50pe+NGhs6Ec/+hG5XI5LL720XYedWgQeMvDAs0G3wMwiRkhaSdg/MpkMqqqi6XV8PyIMfBBxHaVpGi1J+sGmqegzNKPVRdssT4mDJzh+iDJGRV/C4cvuir7NFYeNiaKvrUxajd5UYsmSJRD6PPvA7we/oBkIzQQri9Am12wQk4GmrL2p0RtLsJQSdu6M6zQ7O0fPnpUS+vpiaX139767dYMwHpsaVtFHfHNsh6IvYWozmqJPH1D09Rxmir4JITdIOECEgjBSELjI5qB9s+UZuKAZYGZAM5ObJLtmzTmQ92JfPbP7SlOl1/zZ13PVVIW8qhBEcctzkKKPeK7Pdij6EqY2oyn6/ChiR92jZAfkTY2enEnWUJPP0ii0LWhu27aNNWvWcPTRRw+aZPrVV1/lb/7mb1oavc985jOccQDz0U1lhGYgVR0RBgPBM1ax7QqeHkLVkWYGdOuw/GB7rott23gDHjtFxHNgplKpcU/e2ZPh+miiKByQKLjYjsOOHSG1WojraqTTqV3nOoZW7Z5ieQloqgGajqKocQAFvCDCD6IDUvQlTH0UIZiVt5iZMwcUfTYNb5dlqNeO6z4TRd/otC1ofvnLX+bb3/42q1evbgXNSqXC2Wefzfbt25FSsmrVKu6//36eeeYZjjzyyHYdekohhABNR6oaIgrBd4YGz9AHRQMrA/rwurepSKVSodFwsW3w3HjGSk2TWFYcWPKFwkGdp3HPybXDIKBaq+E6If2lBrYd4vtQrwfx+eU8urojHMehWCwOmc5s0L7CkFKphG1HuA74QVxnqhseVspDWCambrbUfAeq6Es4fNhd0dfb8FlfalB1EkXfWGlbxsN9993Hcccdx1FHHdVa9v3vf59t27ZxzTXXsGbNGr7xjW9g2zb/+I//2K7DTlmEEAhVQ1hZhJlBqLs93wQeeA1ko4ys7kC69SlfklCv16nVXMolUESKQrGTzs5uUlYex9EoVySVcplonOvRdp9ce/efjo4ITa+gawHgksvqdHTkmTWrm2JxBqraQRAa9PW51KoRpVJpxL+ZlJJSqUS1GmHbKqaVp6Oji2KxE1VNU60I/IaLKX3ShoqltUfRl3B4IYSgO2Nw0qxY0TdvFEXfzkTR16JtLc1NmzYN6Xa9/fbb0TSNb33rW3R3d3Pdddfxgx/8gPvvv79dhz0sEKoGqgZRCL6LDAem2AhiP6qMQnBq8ZinmUaIqZVKLqXEsW3qdchkc5jmrqmvDNNENwzK5X5sJyTlOKPOUNIOhptcu9Fw8P0QKQVWyqBSgUwmi64bCAGua+A4FTIZcFyBbkR4njfsJNiu6+I4EZ6nUCgUB3XlptMZNFWjXq9gmg6dmTRpXcX2IxQ/PGBFX8Lhx+6Kvorjs24ERd+WRNEHtLGlWa1WB92swjDk4Ycf5uSTT6a7u7u1/JhjjmHjxo3tOuzUQg7zsxtCURFmOm597l6KEnhxN65TRVZ2xP9OIQOI53m4nkRKBcOwBiXXxMFLYFlpHAds29lt+fix5z0jDnSgqhqBD6qqo+txopGUDARHFd+PFX2OA449vJnIcRxcFyxr+LFPwzRRFA3XkbiuixCCtKEmir4xsOdnZ7Sfw5H8GBR9K7ce3oq+trU0Z82axYsvvtj6/Q9/+AO1Wo3zzz9/0HpBEIx71uKkJAzjWoY90bW4abMbQlHBSIMWxQlDAy3OVstTRuDW43XMTLz+JCaKIqII7IbBSPf8MNSpVQVhSGsdXR/y1rWNPefU7OuTlPoFqqZSrUZIqROGu15XVdBUjSgKUYSCjMIRA1jzerVRanQ1TSeMgkHd0U1Fn6UpuEFcrhJGu1qefigJIomqRBiqgnqYiRJGmwd1OMbz8zPRaSr6Gn6aDSWbbVWXsuPHLc8INlUcttZcpmcMpmcMtMNoOrq2Bc0zzjiDH/3oR3zrW9/iwgsv5G//9m8RQvCWt7xl0HqrV69m9uzZ7Trs1CEIoHeYoNnVHbc4h7m3CUWJDUK6Cb6HDNyBfTWDpwS3sZtlaPg/dxjGGZ9SythQY5qHbIqpPc/FsnZlCXt+RGOgcRZFEYHvE0YB8Zsj8T2oN2x2Djx8zJxpksulUVWVKIpwXZcwDKlWqzQaDSBu9WUyGVKpFKqqYpmDFXpSSjzPIxi426qahmGY+L4YNKdmuaRQrgBIHEfB9yMaDZ8gCAFJsahgWT6aJnFchzB0sFI6rutiGMag4NWswxxtfDYMQzRt+DKWpqLP1BS8AVFCsFvwDEJJGEkUITA05bCwDLXmQR3mKzYSXd3NUqHxO6+JTlpXOXpalgUdKdaXbLZWXCI5YBmKYEvVZXvNpTtjMD1rtno4pjJtuzN++tOf5uc//znXX389EN9sLrjgAs4888zWOmvXrmXVqlV88IMfbNdhpw6aBp1du36XEvr7xrSpEAoYVhw8my1PKXcFz8AFrzFE0RdFEdVqFdf18DwIA1BUMIwGlqmTy+UOWhlHFEVUKxUc18fz4uHb5rnouoqmRYShTxgGpFIenmfT7L+WEkr92/D8fjKZNI6Tp15X8f0SYQjpdApdNyiV6qxfv4lSqU6jEeG6HqmURiaj0NnRwdx5s8lmTVIpi2w2i+d51KpVXE+2WiiaBqZZw3GygEVHR3xTNU0Nw3RwnADLitixvUoUpQGValUgpY8itpDN+RhGGkOHqiFQlAqGoZDLZjEGxjcNw8C0AlzHHnbMMwxDAt8jm2XY15sMVfTFY5yHu6Kvs5NhH0JbDEgpEnZhagOKvo40G0uHt6KvbUFzyZIl/OEPf+DGG29safT+6q/+atA6v//971m2bBlXXXVVuw47tTjAG5YQItbvaeZAeYq7a3BmD0WfNNKUaw3q9YB6Le7u0zQNzwtp1D1SaZ8gLNHR0THuWrkoirNJ6/WQRh003UBT1da5pDMhUehgmmm2b99JLgeepyGEhqKo9PbuYOvWfqQMyec1ujrTBIFBX1+Den0nmUwvipKmv7/Kzh1QKmcJ/AihCHbssDENnep0G8fZzKzZs+jsBNu2kVJQq0IYKRiGiQDqdZdGI8Lzavg+CGEhRCyDj8ciA8rlEn6gUq1BOp0nCBR6e/vR9TrVWkg+rzJnTieGUaBS8dDUiCCo0FHMY5gmKcuiYdo4jk+tViWdzrT+Br7vU69XsVJgmfqoZStNdin6lFEVfUKAcTgo+vYyD+rhOVI3Ngx1sKJvU9nBH0bR15HS6Zmiir629sEtX76cH/zgByO+/uEPf5gPf/jD7TxkwjDEwdOMLUKhj/SdIcEzsGvgSryGQT7fhbZbfWMYhlQqJRQlwjQb4y4wt20buxFi2wqFPeoXm+diWRZSOkgZsHNnSCqVxzQVGo06nmdjmllUNUs+X8SydEyrQMpyqVQbbNpUQ1V7sW2TSHbTM6NIGBnU63XSaQ0hbOxGiXLFYdr0kGpVEob9QIZMpkgunWkFkXQmS6Nep6/PJopsZGQgVAVVjUXvtdpWpBR4no2uK9Tr/dTrYBh1Ah8ss0CxaFHI58nl8kgpqddr1KoOmlql0zBQVJV8PkcUVajXHUolNx4PlRFRFJJOQzqtkMvl9vm91lWFQkoZouhr2otcGeIFiaIvYXR0VWF+R5o5hRRbqg4bSrsUfV4Ysa3m0tfwKVqxZWgqKfqmzpUkDCEWJRig6rEQYTdFX+Q5qAFMyyigVPBlhhAThEBVVTKZHI1GGctyyGQy43bzbJaT2A6k09khLSdVVcmkszTsClJKNE0nm9EwTA0pA4LAQYiIdLqDjo6Z2HadIAiJpIemuZhmHil9SqUSrqMxa/Y0okjBrUOhMA3bLpPNZJASGo2dVCs1DEOnXpNoWsD06UMfGFLpDIoS4Njx+Gs6E2eNG7qOYZikUpJ8PovreHi+jyICNF2lq6t7oAxl8N8ok8lSKnm43q4yFNM06egoYJoNXNcnCPyBGtEBsXwmc0Bd57sr+mwvxEkUfQn7gaoI5hRSzMqPoOhreJScqaXoa3vQXLVqFd/73vd47LHH2LlzJ1deeSVf/epXAVixYgVPPPEE73nPe+js7Gz3oRNGoBk8paojogDpOkRhhIwUdEIIa6h4RGh4IksoLAzDoFYTBIEkCIJxM+1EUUQQSMJAjJhVbZgm1ZrA9wM0NU9Xdw5FiRvPUeSgKCkMI66J9H2PIPCAiDAIAB1FMSiXwLI0QCHwQVFUNM1AU3WC0Mc0Lep1nVrdpdgRYTtQKIwclAzdpBI08INd6ZhBEKAoOoVCikw6SxiFRBEoooqq+UyfnsM0U1Sr/fiB30p2EkLEyUWeje/7rXFKwzAwDIMgCIgGUnG1MYrlx4qmKOQshXQksf0Qxw8HW4YSRV/CGNhd0bej7rGuf+oq+toaNL/xjW/wqU99iiCI+7eFEK1MxiYf+9jHME0z6aY9BAghQNWRhoJdcwi8CF0DoYAIPVQ8LDUgkhq+yCDEQaxXE6MLzQUD9XNIFCUOsPEMJerAtTX/HboPVVEGyl7FoLEsOeBzRYJAiY8ycL1RtBfBuhBDxr5k6yWBqmmoaEgJhukOnIeOEGLY91QIMeJgmqZpcQbSOKIqgqypDYgSwtbfPlH0JewLQgimZ02mZUZX9KV0hZ6cSYelT7rg2bZH1ttvv51PfOITzJ07l5///Oct3+zunHnmmUybNo1bb721XYdN2A8UVQVVoeKoVF0TP9KQA9UNIvRQwwZ62E+nXsMSHuo4JgIpioKqCYSQ+CMU0fm+D0Ji6Cq6JvB9r7WtrmvoOnieHWeVBj6KCkIRcX2qCPF8l3RaIohbd2HkUq2WqVTLVKv9OE6Vhl1FCA/L0gayYSEMg2HPJz4nF01jUHeypmmoKgNZvruKNBVFQdPAD1x830fT4pbu7jcL3/eG7O9QoCiCjKnRmTb2ougLEkVfwogMUvTNGqroq7gBr/fZvLC9xs66RzSJbBJte3z9xje+QSaT4c4772TRokUjrnfiiSeyZs2adh02YX8QcamCZTlUGw5CLaAqEbp00YSPUCDybUxVoisCajvjmVXGQdHXrAu1LAe7UUfLFwYFEykldqOOZYIQeRxH4nkulmmhahqWlSKTqeG5LqXSDgxDR9dVpDQwDUm9sQNFuHR0qDTqCtu3bULV8nieQrVaQtdDotAjCKoUO2rk8gvQdYM4x0bFdZ1B2j4A34u7gHVdwbJSreWqqmIaOrru49gNMtk4UccwTBTh4DoNHMcmn1exrF37dBybKAowLTFqCcnBRBGCjKGNouiLZQmJoi9hNIQQdKQMOlKxom99yaa3PljRt64UsaU6eRR9bQuaTz75JKeffvqoAROgu7ubBx98sF2HTdhP0qk0rusSBAHlcj+WlUJVdWQkUaRNyggxTQVNyFjRJyNwa2BkBixD7Que6XQaz3UpBz6lUt/AuWiEYYDj2GhaRCYrMIM85XIdQ/eo1soYhomq6KTTGv39vVQqJXI5i1SqE9ep4ft1oqhEV3cIZNkpKmza5GLbZRTFQEqNKHKwbQ/TsNE0ie+7pNN5VDWLohgDdawupmkhANdz8TyXTEbgucaQlqGVSpH2fWo1l0olxDAsokigqBFhVCYMBWGYQogsruviug5B4JHPM+Ypww4mTUVfSldwggh7RMtQU5Qwsc4/YeKQt3SO79GpuQHrSzY76i4VJ2hZhjaUHbZUXWZkDaZlzAn7INa2oOl53phS4Ldv337IbDMTnt27KMa5u0JRFQqFAoIKrhvhOHU8n7jQ3YRIV9FNC4Vd05LFpyXBa6+iT1VV8oUCUMZxI1y3ju/FY62ZDFimIJcvUC6rA9mnVTTNx3EdXM/BsnR6Zpjk81WiKCQMKthOg2w2YOasDKapYBgpFCWiXttJJuNj22GrxZrJCjIZnc6OIvm8QiYj6OyYScO2UVUb1/Vwnfj6tQG1WqNhommZIX+muJWaQ4garhPgejU8TyHboZDNaSAjDFPHc6tA/F5ns5DNpMhkMgf8Xo4Xe1P0NS1Dk0LRJ/dSizl5egonJXtX9LkDij5zQir62ha9Fi5cyLPPPjvqOp7n8dxzzw2aPixhgCCAvt69r9dGNE2js7MzDj6uSxQ1k2ziAnvEgMf2ABR9Y0XXdTq7uuLWl+MQyVjzZlrWQJdlfANWFIUwLBBJD6QHhKiqoKNzDh0I7EYD13PJ5WHGjDQLF+ZIpSx6e3uZOXManZ3TY7m6XY/3p2pkMlkK+Q4c1yadgpRloQzUXaZSKWzbJgiCgZIXrdUS9ryhc2rGmESRjsRDCI9CQVLs0Jg9ew6KIlotfCEEmqa1FH6Tgamg6EtsPxOD3RV9G0oOWyrOEEXftprLtAmm6Gtb0HzrW9/KV7/6Vb7xjW/w8Y9/fNh1vvrVr7Jjxw6uvfbadh126qBpsexyT3RtdOXXgSLAsqxBY2yDXh6rok9PgbVL0bdfpzLgmh3pXJrzWMYYAz97kh60fnPiHU3TSKfydHTkRxw3tO0GUVQflJTQlBaMfi7DoQDWwE+8fvOypsKEBZNN0deaB3WYr9hI6Prh7Z09WJiayhHdGeZ1pNhUttlU3qXoA9hYcdhR9+hMx5YhUzu0D5htC5qf/OQn+a//+i/+6q/+ikcffZS3ve1tAGzbto1f/OIX/OIXv+C//uu/WLhwIR/5yEfaddipg6pC9zDf6AnypR2Tos+34+BqZhFa+wKD57p4vo+qSnRNwUpZKGPoFt79hieEQFEhisIR1w/DEEXZS6nJAMPNqTnWc5lK7Jui79BahpK/2cTGUBUWdmaYW0ixaQ9FnxtGbKm69Nb9WNGXO3SKPiHbOB33Sy+9xNVXX83zzz8/UI8mW18QKSXHHXccv/zlLzniiCPadcgpwZIlSyAKWfn4ikN9KmNGSjmg6HNp1as00QyEZoKVAdXY75uk7/tUKhV8P8IdiNGaBoZBS6o+1n07jkNvb5V6XaFY7ByyXRRFlPr7KBYlnV3FcZM5HA7sqehr0py9JVH0JYyFMJJsqTpsLNm4wS6/LYCuKAek6HvzOadiqAovvPDCPm/b1oyco446imeeeYbbbruNO+64g7Vr1xJFEXPmzOHiiy/mj/7ojybN2E3C6Iym6Gu1PAMXoepIKwuauU83ySAIKJXKVKsS3xdx9qoQuI5Pve7jew5RFFEoFMa0P9M0scwajhNRrZTJZHOtz2IQBLEE3ZIYppYEzANkl6JPYntBouhL2C92V/RtG1D02cMo+nKmysycddAUfW1raX784x+no6ODz3zmM+3Y3WHFRGxpykji+R5SSlRFRTdGDyRSSogC8F3knl2gmhEnCplZ0K1RP9hSSnzPo6+/n0olQFWy5Pao3fQ8j1qtQqEg6ezIt6bUahKFIf5A4o6qqq0g6Ps+pVKZRl3iuLFgIP74R1gWZNKCYkfHuD7Y7X5umqYdcCZ5EAQtkUIsV5h4D6XhMIo+2NXyTBR9CWNBSsmOusf6fpv6gKKvia4oZAYUfYUxKPomREvzO9/5DldeeWW7dpdwiJCRpFav47oO0vXirldNQ9UNUuk0qdRICUMDij5FQ0RhXNsZ7SpXkcFuE3aaWTBSQyQGjXodx3GoN3z6+srUaoKuLgu70SCVTrfWNwwDy7Ti2VEsuxU0ozCkWqvhuh4D0iA0DXRDJZPJDEjQixhGHdf1CIJ4rE3T2iNBH40wDAfm5vQHnZthamQymX1ODoqnCKvHMvfmXJ86mKZONpudUGVd+6ToUxWUCVqfl3Bo2V3R19eIRQkVx2+1PEtORL2p6MuadKTGR9HXtm/WnDlzRp1pPmHiIyNJqVQiaNShYaMJgaIIgnqDUFOp+R5RlBu1njAOnhqo2ThIBi6yqaNrZtxGYSxKMDNgxMGwUqlQq3k0GuA4EfW6hutqVCoQBHHJRy6f3xU4TYtq1W55jqMwpL9Uol6PsG1QVQ2BIAgCND3E9yvk83EJSaFQIApDgt1aaOMpFQiCgHKpRK0mcZx47tLmct0I8LwyxeLIWb174nke5XKFWk3iubvtr+ZjWj6+X6JYLEy4buamoi9lqDh+iOJDJHe1PL0gzsDVVYGuJpahhOERQtCVMehM65ScgPX9DUr2ruDpuxG2H7G56tKTNelM623txWhb0Lzqqqu4+eabqVar+zXPX8Khp1avEzTqqA2bfDa7a45NKbEdh1q5QkMIDN3Ya3ctEHfJqhpEYdxtG/px9qLvxa2NKASnhic06vWQWk0hk8mRSkmiqIppGui6Rb1eQwgf3XBIpWJtXVN83hxbqFar1GoRnqeSz+dbLS0pJY1GnUrFRogahhFbfBRVxThIXZnVapVqTRIGOoXirrHUKIpoNOpUqw6KUqWra+8zmEgpqVYqVMoShEGxI9faJgpDarUqlYqPolTo7Bya8DQRUIQgbWikDqGib/ckxYTJSazo0+lIFcam6EsbbenFaNvj9Re+8AXmzZvHZZddxtNPP92u3SYcJGQkcV0H9gyYAEKQSqWwDAMcB9u293HvCo1AUrJ9ag0b17FxPY/AscFziOwqKb9OZ1pgGvrAtF1xF6Su66SsDLYNruu29uh5LroetxLDMMRxfRwb8rnCoK7J5nyVitBxXXD2+dwPDN/38dwA1xFkc/lBY46KopDN5gAN15U4jrPX/bmui+NKwkghl8sPCrKKqpLLFwgCgTcwN+dEpqno60zrZM04iDYL2GNFX0TDC2h4AcEB9mI1hfO7H3ukCQISJh+xoi/PyXOKHNGVIW/tksPX/ZANZYeV26psqcY1oAdC21qaV155JaZp8tBDD3HKKacwc+ZM5s2bN2yhuhCCu+++u12HTmgDvu8jXQ9NiMEBczdSloVTreL5Y78ZR2FEqVQitBvgOHG3qADNMtAtg0DVkEKgRIK04UG0nUBNYxsCW5fYdp10Oovt1PH9XUkvtt0gl4vFDK7r4vug6caIY5KWlcJxfFzP42DK6jzXxfVAN4wRW5GWlcJ1q3ieRzqdHnad1v48D8+jlU28J0IILNPCc+3WhNYTnT0VfbY/vGXoQBR9zfXXvv4ajzy8As/zsRsNZs+Zw1lnn0NHMr/vlCBrahw7I8d8P83Gks3WPRR9myuxZSgIJcZ+djS1LWjed999rf9LKdm8eTObN28edt2kW2TiIQdmnByt+0JVFJDRPhWIl8tlwloVzfPJpFMYhglS4nou9XIDLANUgcBEieJgbOAyPa1hErGjElGtBriug+tCrVYlDALSGUkqpWGaJo1GI57seZSuTaEoRJIh09WNN5I4l2q06dXEwDyeYzm3uMU0+hRiiqoSBAf/Wg+UIYo+PyQI26Po6925kycef4zf/eb2QctfXL2Ku++8g/PfeCFvvOjiZGhpipDWVY6almX+CIq+8AC+G20Lmq+//nq7dpVwCFCEAqpKEIRxauMwNyM/8EFVxzy/pu/5BJ6L4rgUioVdFh8R113quk5vXz+9UUTK1NGN+IYoFNAI6LAiMnpAxXFYbzcIAoGqauSyCqalkx9IDFJVFVUF1x25uy0IfFT14M9XGc8XCq4z8tycQeCjaqMH/SbNa/V9f8iUZU2ac3aO5zyo48m+Kvr0MThJb7v1l6xetQqApctOZNERRzB//nyefeYZ7r/3Hu675250XeeyK94y3peXcBAZrOhz2FS2Ww9e+0vbgub8+fPbtauEQ4Bu6Ki6QaipNGx7aDehlNRtG0Zxw+6J47rgupimMaz2TlHieSWNRp266xJVMhTzJkbkIpAoioKlgIhcjp2jIAwNI6djprODSjQMw8A0BfV6ODCN1x51m1GE49jxjCljPPd2YZkmhlGnXvfxPG9IaUkUhjiuE08NNoZziyUNNqWSS5hKD3kICIIA33PJZMA8yNfabsai6AujaK9B87577ubZZ57GNC1OOvkU3vPeP209oCxYuIglxx/PTf/3/3L3nXewcNEijj1uycG4vISDSKzoSzO3YLGl6mLp+/9AOTkfRRPGhXQmDZkMddelWqsRBAFRFOK6Dv2VMoFQUFKpMQeeKAohjEatGdQ0jZRhYlmSMPLoKzuUHQsntPB9iet6camCpVAwVTK46F4V6but7kdFUUhZFtks1GsVGvWBcw/jcy+X+zGNCMtSDvoYn6KqA8o/qA2cWxiGcbB0bMqVEpYlsSxtiKRhOHRdx7J0MllJudwfS+bDkDAMse0GlXKJTBYsy5hQtZoHiq4qFFI6HSmdnKm1EoY0IUYtdVu79nXuuyfOnzhx+Um86dI3oygKURQRRXHwnTd/AXPmziWKItatXQtMvq7thLGhqQpzi6kDUnq3/Vu1ZcsW/uM//oMHH3ywNaY5a9YszjnnHN73vvcxa9asdh8yoU1YlkWUy1MXAsdxcKpVQt/HiyJCTUNJp+gyzTHXNCpCAUW0kneGIwwDNEMnn8kgI3Acn3rDpxqBokhyKUnWkmiaHo+3thR9HpFQcdEIURGKgmEICkWJ49hUKjYMuGozabBSCsVi8ZCMp2ezWaIoQlU9bNumXI4zeDU1ni80lVIp5PNj3l8unyeSZRQlwLbrVKslPM9D0ySWBYaRIb8P+5tM7K7o88OIlK5SdvxW4Nz9s+l5Hk88+ijlcplisciZZ53DjJ6eQetFUYRhGCxctIhXXn6J1159FUjyLhJGpq1B8wc/+AEf+chHaDQag57UVq5cyR133MGXvvQl/umf/on3v//97TxsQhtJZ9IYhkGj0aC3txc3CFClxJQSM4ywqzU814trIfXRPz6maeKYFk6lQtpKIfYItjKK4i7cQoFCvoCiKti2vdvcnnHLMGVZKELuUvRJ8O06URQhpECJwJMqUreQQpDL6mSztDR6zenGxlNgMBpCCAqFApblkrLsQYq/1EDLfV9u0ooSPwAYRgPP2wE4CAFRpBFFFmEI/f39FAqFCanVaweaItAGuvwL1q5s77ITj2srisLa11/j+ZXPAXDWOecyb5ghpOZnYsvAA36xozgw203ixE0YnrYFzd/+9rd84AMfQFEU3vnOd3LNNdewYMECANatW8ePfvQjfvrTn/KhD32Inp4e3vzmN7fr0AltRtM0IhmRNXSyvodpZtANgygKcSoVQk2jFEUUi8VRA6dhGqiGQWgYlKoVculMq5wl8H2qjTrSNNEMsyVLyGazw85fCcSKvjCkUS0hfBch42QXXRHoQhK4ZTxhEGl5Ojo7J1zAME2zbd3DUkpc10VRMmhqlnTabNWsVioOphkio346OjrGTQ04EWkG0L66w+pVqyiXy+RyOU459bQRt+nr7W2ZpYIgCZgJo9O2oPnFL34RIQS33norl1122aDXli5dylve8hb+x//4H1xxxRV86UtfSoLmBMb1XHzbQdTrFHP5QXWbmVSacrWCV69R0zWKxeKo+8oX8pSRBPUG/bUazdt3CJBKoaRT5Atj60oUQmD7AY2Gh9ZokC9m49aroqASO2bVICB0SthlSaZj2pS9+dm2jd0IcRyFQrE46AEhlUpTrZapNwIMs3FYllHokc9ra1YjpeTUN5xOfpTZcPr7++jr6wVg7ty5Q6Y1TEjYnbYFzWeeeYZzzjlnSMDcnTe/+c2ce+65PP744+06bMI4YNs22DZpKzVUdCAEuWyW3lIJ3/UIw3DUFp2mxYG1YZi4rkM48EQvNA3TtMik0yhjKBlo4tg2ODaWlUJFR8bFl0ghQVHQVYn0PaRbQ5YjsLKx33aSll+MhOM4OA6k09kh77+iKKTTWWq1Eq7rkslkDlnX9KFi48aNbNmyhXwmzSnLTgAYdtwzCAI2btzI9m3bUBSFE09avk/HSYLr4UfbvkmWZY0pyWfmzJltSft/8skn+fKXv8zb3/525syZE08ztI8f3osuuqi13caNG0dc76GHHuKyyy6js7OTbDbLaaedxs0333yglzBhCYIAfB/THH7mDUVRMTQNAj9WkcVehME/kWz9qEIhl8nQ1dFBR2cXHZ1ddHV0kstm43qpSA6/jz32QyTjc/N8LEMHKRESRCQQoUCEA78LEIFP5NlIp4qsbkfa1aFTlk1SwjAkCCI8H3TdiB28e/xomo6UCr4vR03Emqo8//zzAMybN498Pk/B0ltdt83MWYByqcRzzzwDwInLT6Yw0HOyt3tJM2dDCEGj0eCVl1/ikRUr+MODD/DYI49Qq9XG4aoSJgJta2med955PProo0RRNOJTbRiGPProo5x77rkHfLwbbriBW2+9db+3//73v8/dd9/d6ooZiZ/97Ge8613vIooizj33XLq7u7n77rv50z/9U5577jm+/vWv7/c5TBZkFBFGEULEs4e0iCRRbx+hqqAq6i4hQqUMA8E0HLhB/f/s/XeUZVd55w9/djjxxkrdLamVQRZJJAshgiTAYGzhnxmMzbxOsPgxY2aWcXw95o+BZZth2WOPx8as8bLfGacJzowD2QaMRRYiyRgkWRJqhc5VdcPJ5+y93z/OreqqrupWSypJrVZ91+ol1b2nTrp19/fsZz/P5xGizabVYQD9AcY0uPEYNau5s1ohh8PN9Zyz/VhjsTiE9pDOwmjUOoMUOOswziIRyDCAfp+6qBAhSKOgKtoB0FpsNsF5ISruI/WD9wc1xiCE2LTGZU0LF5dCrK8VOuc2zWIe6czDWkuzIVlISrn+czLVNA0srwjG43b7tcOtnYedPRxMpw6cYHFx8/tr+32w8zTG4FybkPVEmqmuPSSsmeP8BkTemnGOi7Zu9vbbvsndd90JwHOf97wt12kag2PrPVi7d//4yX/glpu/wP333bf+unMOz/N5wTXX8B2v+k6Gc3OP3sXu6jHXjpnmL//yL3PNNdfwlre8hd/4jd9gcNIawmQy4ad/+qdZXV3ll3/5lx/x8a699lquuuoqrr76aq6++mouueSSTUDv0+nYsWP87M/+LK961au4/fbbOXDgwLbbrays8OY3vxljDO973/t43eteB8CRI0d4yUtewq//+q/zmte8hhtuuOERX8/ZJK01teeRphmCNnUfa0EIlOehtWY0mVKGNa6uKScT0Arf84nCAFZHlMePkWc5VVFgZoO47/kwNwfDIVpKmuVlzMoyCIGem0ctLKB8v02Y8X3KI0eojx/HGgPOYgcDCs/HqyvSNG2NrZn1lxICMT9PVZQsj8fknsfCsEcUaKwxSO2hpGgbT+tjCD+mt7gX5W1OzDHGkGUZZVliGje7HzNzEYKmaTGCUoLaABdf21ZpQRiGxFH0kBNwjDGMVlcZjccURU1dG4piinMO34/wvJAs8yjL7gxF6FOVFZ7vU5YlWZaSZfl6jWpjSniqz3nnB5RlSVkUNBvOMwgC4ngzIME5166X5jlNY8GBkBCG7bZnc+2ntZYsTSnLktWVEWVRIYSgLEuUlKgN5z4IPe6++z5u+eIXcc7xrKuezaWXXb7+/vo9qA129nkHvk8YhQRBwGh1lb//6Ef47Gc+DcBTr/g2LrjgAobz89x74ABf+dItfObTn+Lr/3Qrr3z1d/HtV7/gCcEB3tWDa8e+AX/6p3/K93zP9/CHf/iHvO997+NVr3rVOiXowIED/N3f/R1JkvBDP/RD/Nmf/dmm3xVC8I53vOMhHe/nf/7nH/a5/tRP/RRZlvHbv/3bvOIVrzjldv/jf/wPJpMJ3/u937tumAB79+7lV3/1V3nd617Hr//6r59zphmGIYkUjA4doa812jRI2mhpBXxrMsVK0WbPNg0iSTCDAYWSZLQxf1PXZFIilAJrEUIwGo0ojCHUGmEtfp4hshyEoIgKgrrGDwNqrZiYBq3b2ZDrdlFpihMCgoDjTYNIpizGHfQMu8c0YVJVHD50kLRp6EUx0yNHuGtlhcGgy8KeBcI4xos7KE9DVTCtcrpzC6jOAKE86rpmPB6TZW3fS+daJmxRJlhb4JwiDNtOJU3TUFWrOGfxvA6+17Ysk8oRhm3ZzPCkBJ3Tqa5rjhw5wtGjCZOJIE0to9GE6TTBOQiCcvYg6mFMxsJCQSeOkMoBCmMKsiylKARVCUWZYwwcO5rzrbvvw/N9PK+PNRIECOEIw4KqLBkMh2itcc4xHo9J07ZjTNMI2ipwRxiUlGXFoN87IwjDYy1r28YAWWYoChgOL6SqBQcOHOHAgaOct29Ap9slCIL1/q2f+cxnuP+eu/GV5PqXvZwoirDWkiQJaVqSZ1DXYjZ7tARhRVxW9Ppd/vZv/pqvfOkWut0eL7nuOr7jVd+56bP+nu99LR/98Af5wuc+x1/95V+wtLTEFd925eN4h3a1U9ox0/yFX/iF9ZDFdDrlfe9737bb/e///b+3vPZwTPPh6iMf+Qh//Md/zLve9S4uv/zy0277wQ+2cOfXv/71W9678cYbCcOQj33sYxRF8Zjj2R5Naa0pjcGahjzLGPb7hL6HMZYjRw5Tj8eobo9+3GFetsZSdzpkRcHK6gi7uko4mdKJIrqDPoHnk+YZo+kE0oT62DGi4ZCoMXQ6McY5GiloPI0PJMsrpNbSm0zoK0k46COUxPX6SKVYTqY0RUFS1ywM5wg8zXR1RJompFmOHAzYs7REUZTsVQp36Ch2NIUL9hFeGOGMwQLWOvJVS8fWOB2Q5DWTqcRZj263g+d5FEVBlpccO9bQ73v0+wGDwZCV5eOMMp8sa9izpOnO9/F9n6qqyLIEawxCjDeFBk8lay0ry8scPJgwnXrE8QAhGrJM43lzWAueJ4ljHyGGLB+vSBKDtVOkKEkSxTQpgQ5ShnS7ml6/R55VlFXKPQcmzM1J9u1TzC8sAK1J51nKuKlhdp5JkpAkNWnatlPr+a3BNE1DliZMxjUwZWFen3VlLNPJhCRps4k7cZdnPut5/ONNH2c0GvPNb95FHD8XREoQBDjn+MAHPsDnP/95AF760pfy3GdciXOOo+OEIm8oCoX2QrrdsIX9G0uWpyyvJHz1y//Il754M0opvuvG1/D8q69GKdVC5ZsGpRTD4ZA3/H9+iEsvvZwPf/D97Nm773G+Q7vaKe2Yaf7BH/zBTu3qUVOapvy7f/fvuPLKK/kP/+E/POj2X/va1wB43vO2ZtT5vs8zn/lMbrnlFu644w6uuuqqHT/fx0tFUdDTmrLbJZzzqauKum5ojEFEMV1jGA4GaCXb0CgzvJtzcOwY1WhEH+iEYctTdW13iq5ShJ7PWEnM6ipoRRy1jNupVNiqhnCGuBqPkVK0vy/aMKiQEqUVc1FMYiyiP6DWmrKsyJoGKxXDxUUipbDW0ZQlQVVy8f4LyIuCYpIyuf1u4ov2E8/1mWYpeBpT5lAW6AY6QqN7PazQ6/eiaQIW5gfUTd62lMpzGuNQqsvcnI+xFUWe4/s+vu+j1YDRaJUgNNvyZk9WWZaMxjl5run3F/G8gPH4CGWpmJvbS+B3GI2OMp1mdLsNg+HcLBnIIGWGsRqlfIyBTsfH06C1JAj6VFWDMR2sjXDWrecceJ6H7g8YjVYoCkue5xRFSZpCt9vfdM5aa3r9AZPJiLJsyIuCTuexbLB2ejVNQ1HW5LlgMGhn90tLe/ju734tf/3Xf8YHP/hXfPOb/8S11z4PayvuvPPO9UShF7zgBdx4441AG5rWpoKyLdvxvfYeGAtStb1PDx28n89+9gs0TcNzn/d8Lr3sMsajEXmRc/HFl+Ct1SE3DVprrnrOc9h73j6Gw+Fupu05oh0zzTe+8Y07tatHTe985zu55557+OQnP/mgA9lkMmE8y7TYv3//ttvs37+fW265hQMHDpxTplmWJaKq2be0ByEERVW2a2R5Ttc5+p0OxjTYsqJyDn+WstnUNT5Qm4ambghm97huGlzTtLWUYUjSGMosQw8GNMaglSIK2llaMVt/kmWJjmOMsWyc09R1QyQFQbeLDUP8TkxRFHhBQCQES/0+dV2xPJkgk4R+1K7D+X6AqSpq02DGU4xQNFUBUqG1bktrGkdHOaRbxTiPwkZUVY0xku6gQ5oa6qoiScaUpcLzQsIwYjqtqOp6fVCUShGEYdtsuyzPyDSTaQV0iKKYPM/JshohQgK/g9KaMOyQFxlFUeN5jjCMSZIxnY5HEPhoHeF5Eb7no7WH9nyKogQClBIY46hqN+uO0oZXhRCzXp4p08mEplEopbc933bbmLKYrJexnC0qi4KqajOJN4ZIn/e8azDG8Hd/9wHuuOM27rjj6wSBxPd9wjDkhS98Id/1Xd+1jhxsmoa6tjRGMBfGbWZsU6Nkm+RVlIYH7r+HA/ccIAwFo9VV/ttvvaddKzYN551/Pq/4jlfx/KuvXl/7DcOQiy++BNhF850rOntX9XdYX/7yl3nPe97DG9/4Rq6//voH3X5jyvipGgOvDRzT6fSMzuEZz9i+e8Jdd93F5Zdeckb7eCxkrQNrUVohpaLbLu4gy4oyy/CkQDQNTVHiAIqWpeqyFD2doIvWjNYSZaxjtq4p29fqBikFSgictaAUWqlZr06LhLbRMODcBhj3LMtZCYFUAqfamaqWijIMEc4hAV9rTJkhjCGI2rVGJQU4ixS6ret0FmUsxw4v4zoDOsphjMXzNMJUaCpCShaDBldFbfavVFgHxlicbc22HaTbjElnbbuGS9vCq65P1AaeTsaYWS5Ta1rGWIxxCCHXw6BKawTte1q7dlB2bZKy72u0juh05tZNwzlwWEAihEJKh7Un3U9ASdX2F7QW69Tm7OiTpJTC2Dab+mySA6zZ2vZNa821117H1Ve/iM999h+57fZbWVzsEMcxN9xwA+effz5SyhMzQOcwZsZMninekGW9urrMt+66bb336cGDD3DRxZdw4UUXccftt3HwgQf43//zD/n6P93K977u+3Znl+eonhSmaYzhLW95C8Ph8ElRInKmssbOwo8tcEBrPWO0CqyUmMYgPdmOzKsjVJ4jp9O2FME0iDBEOJhlzaCKApGkOGNAqnaWqBVSALNkCmMsSIm1bV/ENehAYwxoDyHaQczYti222DCArdVWGOuwzrUzUiFakLsQWGtwQpCXNbUx5EXBA3lOWfYRApyQNKLBVRU2bddYMz+g56ARHtOipoMg9NqIsLQ1HiUDv0RSUjQOozRKSYSExjRoY2iH7XZGXWVZy9QtcoLQIOWJte62RVnR1rYCWinCKGrLSgRY27SlOM5S120iiu9P8P2QpqlxNCh1Yp0RAW000CFEC7/faBwCCVicMzOW70n3EzDWIGSLI3S23cepZIxBSc46UISg/byaZvt6VK01z//2F/Lc513F/Ly/ntm/9kCzZmp33X03QRBh3WaM45rxZaMR937rX1BasrAwz5v+3/+Xy5/y1PVSlH+69Wv81V/+BV//p3/i/Asu4JXf+epdwzwH9aQwzd/8zd/kK1/5Cr/3e7/H4lrR2oNoI/80y7Jtu0akaQpwxpiyf/7nf9729Wc84xnto/JjqDRNydIMqhKqdhAvfY/UbxMlRBCQFTmDDUQgb3GRzPeYLq/gRSFqMGxDs5Mx9AfIMKJaXsYqhQ5Dyqoi1hGe1gjPw9CG0ky3g45jGmfRug0F5mUFcYcwCEizDBsENM6iTqqn9DxNRtt2bOB5CCnwPI/c00jgWJoymUyocOR5Rr26ipdnVNZRBwE28OlpjbCG0dFjVOefR1NXVJWH9GB5Ypkf9pFNBqbAmRrfGrAl84FAeJJG9cAXTJIC5yxCNOR5hbVQVWCMI0kmLC5a8tyjE8eUVVsmUxSuLWF1oLUjCDKEgG7XI0kKDh9+ACkDrHWkWYaxU+K4IU2XGQwsYehhraAoMrodRa+vKUt/vYWb75/IbFVaQV1iTIZSMb4n1tfcoDWDtT6jvX6fNM1I0mbbddh224ww5KwrnQjCkCDIyfPtCVUtp7eg22XTdW2cZR46dIgPf/jD/NM//RNXX3093/M9byAMo037ue22r9M0DXsW5nj1K1/B5U95KnBi/fJZVz2bI4cP88H3/y2f/MQneMYzn8X5F1zw6N+AXT2melKY5vvf/36EEPzRH/3RFpLP4cOHAfj+7/9+giDg7W9/O69+9atbishgwHg85v777+fpT3/6lv2uUYSeaA240zQlm0xhMsHXan2gLcuSOsuxnZgawDmm0ynxbF1Ra40BMiGQ1jEvZTv6C0HdNJRVhQgCPM+nahooCoQUBJ6PkoKRMRRU1CYimpuD6ZQsz9rs2W4X63tAO8NkMMBOJuRFQdjttqFaa9vZsZQ46bfrqsYipUJpj7QseeD4cUyWsRD4SOdQns/xY8eRQKY1veGQRCqqKMIbDPD9gKiswGtLTrTucmxllaauieqC0DdoDyyKUIFCInRJKDKcrzl4rMYPHEE4R1MrhBRUVY7veeS5oSgEh48cQUrNdCoQol1fFUJQVRV5XrG8/C0++9mbOHJkwvJyyeLiZVx55dVEUcBkvMry8jHiyDIcejgH49EqvX7GcOjT7UVUFRw9MqUxhiSBKOquG6IUNUqlSCkQsrs+K1rLntW67TMaRRHGGDqdgiSZ0Ol0189zLXtW0BAE4oyaZT+W0loTBh5RVDOZjOjE3fWymLquybIErS1BILdkua/NBL/xjW9w7733orUmCARZ1tYBB0HbHacqS+666w6cs1x44Xk873nPYxB6OOeYlM06COPqa17IRz/0IbIsZXn5OOdfcMFuiPYc05PCNKF92rzppptO+f5a+vmb3vSm9dee/exnc9NNN/HlL395i2nWdc3Xv/51wjDkiiuueFTO+dGQNbadYU4m9DoxYXBiEInCkDzPSdIM04lxvR5FllNNJ6jxGAsI7SHm5xFAjWN1PEZNpy2APQiJ5+ZbE01TUmvJx5M2vCsEpZAUnS7h4iLGOXKtKMZjEAITdwjqhioEf2Ee7RxaK8ojRynGE1SaYgC7sEi0tNSWjACrkwnSOUxVkQCq20UJ8I2lF8UcqRsskCcJFAX5ZMx8p4PtdBicfz4XX3AB1lnGSULQ6YBqSNKE4vgYYyWuE2PqnLin8DoBwni4YopWioVuwyA0HB0LJllGEGmkc/S6miju0+n0SJIJdT3FuYh+b564cyKCkaYpN3/hM3z4I3+DFBVFWZFlloMHD/CVr/wDl1/+bC666On4fkxVN4xGHepa4vsdFhYkC4tDet0ek+kEa2KOL6ekacbqagsfryrJ0hLs2xvj+RohDCvLxzfUaUInbtuWCSHodruzwb+myKekSbKhThPijmDQ75115SbQRnuMHSOlIS8mJIk45XVupyuuuIKFhQXKsuQVr7ieIHBkWUqeZSCgyDPCUOH7sH//Beyb9eUUQmyiDC0fP0bc6TCZjDly+DDPuurZu4Z5julJYZqf/OQnT/neJZdcwoEDB7jvvvu2ZMneeOON3HTTTfzlX/4lP/zDP7zpvQ984AMURcFrXvOaJ1SNZl7kUJb4Wm0yzDVFUURRleAcQRhBGFIXBa4xuH4fz/fZ57dP2FVZQmNa4g4CzxjW9lh6Gp0XVMZg2syJtiPK3Bz0ei0RyBhM3MINojBEeR7KOoLGtESgxlA7h51OAYeYZer2PK/N6i0KGtcmLdVRRL/XQ3QrOmYBNVunPc8YRmmCnSY0SUI0HFJFIf2FeS6+4IJ1IH3oVRTGQqDpxoIwqul3B0jh0HotEUwghWlN3hmCIMZ5qu0G70HRFBTWxwtjorAlAmmlWVlxaF2zb9/mtbIPfej/cvvt30BKyeWXP439+y9m//7L+frXv8rnPvdpDh36Guft0zznOS/B8wKKokTrijCcp9OZp2lCVkfg3ACpArodDyFyPK+99rk5zf79XS68sP1UHowItNb30/dz8jDfRD8624lAclYbGfjZbJ3+9OSjk3XhhRfyjne8g+XlZRYWFsjznCDIqWuDczA3F2GajCDwueiii4CtsPZB6EFVUFUVzjn2zmozd2ea55bOzm/AWaK3vOUtvPvd7+Zv/uZv+L//9/+uU4GOHj26Xuf5sz/7s4/nKT5kmcZAXW9a+zpZoR+QNA1CCHq9Pq4o24SR+flNKLJO3MEgcHPD9YbArK6C1kTdLhFgXBtSXWO4ysCfsWcNbnEBZd0p2bOB7xHs27vOnpWej9zA8fQ4wcWVaYKeJgQCwrxg0O+1HVCAoiyoxhPKNMX5PpXWdE/igQaB3w62dU03CPCXlujEnZa3u4Gra61pazWbAkGL5YsDhdaSjt/glKJQHla01yGVoiig39ebBs+bbvoY//RPXyEIQp773Bfw0pe+FCl9LrroMp7//Bdy7bXX87/+1/+Pew7czcte/mouv/zbGK2u4BDMDYcnUXkEEOFciLW2Za+69thhqFirDonjzoOyZ4UQxHFMHMdPOPaslJJOt0vcefDrPJUWZvCHKIpaQpAxGGtRSvGc5z6XIx/9KN/85je59tprkVLOuMpinTL0jW98A1MVnL93DxddcsmWZKNdPfH1hDXND37wg7zrXe9a/7mqKgBe+MIXrr/2jne8Y71w+eFofn6e3//93+cHfuAHeP3rX88NN9zAwsICH/vYxxiNRvzMz/zMOYfQgxMdHNYkpGxLQk5+UhcCNT+/XgqyThDv9WB+DhAo2FRnuWY+SimYXwCtEcNh2+3kZC0uwqyMRG743U27o/0jFpNxi9mblf9oqdYP3NSKRkp8T+M8j+YMBjCB2HZWJaVCa0eTO4oafCkQ1qLVDOdna7A5nOah5MCBb3HTTR8H4Kqrnsc117wUa4sWMG4MSmsuu+ypXHTRpdx11+3cd98Bnva0Z+EHPnFsWFyE7Us/BaAYjdpyl6ZpyPOaqlwrXWnfP1meB9u1RT3bmnifqYQQO3buUqn1cPSVV17JJz/5Se644w7+5V/+hSuvvHKTGX7+85/nK1/5CgDXXHMN++b6aK0ZF/UmoL+1bXa4Vg+9M9OuHn89bNM83frgmeiRdjo5duwYX/jCF7a8vvG1Y8eOPaJjAHzf930fN910E//pP/0nPv/5z1NVFU9/+tP58R//8ScE0OFkaa0pfY+qLE+Z0FHWFUTb9NI8lWY1bjRNm0m7NhCcyXiwsDjr5XWafZ+BtPYQQUC9OiLUmrKq1lubSaVAa9K8zS6VSiGU2jSwlmUF2iMMwzabNk3busttZlhlVYI327YxrI4dC9onpKZ2ASiBrNoHCGscUQTOmfXkny9/+fNMJiMGgzle+MLrGA7nSNOjgKYxDVIpfN/nkksu4667bueee+5qazmNwfNos5FPcVusdUynBYcOlm14dXYLfb8tJ/K8rW67sLCez7Wr0+jKK6/k1a9+NX/zN3/De97zHl7wghfw4he/mPF4zB133MGnP93C2xcXF7n++uvXH7o2rnlaaylrQ+NAGPCVxFOPvDPOrh47PWzTvOGGGx7RB/1Ie/y96U1v2pS083B1zz33POg2L37xi/nwhz/8iI91NigMQ1I/oMpy8qLYYpxZlrVf6CAgfLilBYMBzM+ffhR2DlZXHt7+t9HadSnPo6gqZJ7P4AOSwPdZMYbSOSZZyt4L9hP4wbohlkXRruMOh/S6XabTKY3WTKcT+r0eGx29aVqMHP0BnU5nxh2uGE1Let0+QgqYrachHbKesNitKYhJ04SDB+/nn//5VgCuvfY69uzZR5pO6PcDQJNlKVp7SCk5dOiB2e0cMh6P8AOH7/sIqTgpGDC7pS1wfTJpmEwlnY5DS4V1DVJUSFkRx931NXjn2mj6rs5cL3vZy1BK8aEPfYibb76Zm2++eVN7wSuuuIJXvepV9Hq9bdc8jXUkZbvm7ByUzlI1Fk9L/F3zfELoYZvmj/7oj275gFdWVtbLO5797GdzySWXAG2Xk6/OGr2+5jWvOSOI9a4eHUkl6XQ6pNaQTKaUVUkwm30UVdmO9/0enU63NYBTtxo9tYQ48e8x0tp1uaUlJg88QFFVZMeO4XsejbUkdc0oCAg8j6kxREKQ5zn18jJm+Tg6CPHTDD0a0WsaptMEkySMrcX3WhOrmpoaEHv24lcVfuCjtKJuaiaThtFoFT8IUErT1DV1XRLF0O12GArLZHKUr3zlZpaXj9Pr9XjqU64kTSf0etDrDWew74bJZESSJBRFTl3XHD06Zjqx9HqKPO8yYyNsUZZmjCcNR49KfK/DcOgjpcAYQ1HkJEmBEAmep8/ahJ6zXUEQ8MpXvpKXvvSlfOpTn+K2225bv5fPeMYzeP7zn79OCjuVAfZDj7I2lLNesg6oGkvdWDwl8fWueZ7NetjfnD/8wz/c9PORI0e45pprePnLX8573/tenva0p216/7bbbuNtb3sbt956K5/73Oce7mF3tQOKO202aKY0dVlQ180slyRCBAGdTpco2iZ0e5pm3cz4sw+mpq7Ji4K6KhGrI5AKPwqJohipHlmySdyJcTjKuub4oYMsJwkiyxC+R9DrMXfhfoTWdPyAwhpoWpyfKCvk8WWskkwcINovRmMMwjpq07QPD1Ii5+fRVUk3isC1636DwQDBhLKyVFVB04DW0OlAEHr0e33KqiTLljlw11eRNue5z30pe/Z28H2I44hut9vC1MUEz6s5fPgIy8uHAcNFF16AMR5VHTMeb/+Vdc4xGlVMxm3D6oMrtzM3/zR830MpRafTJU0cZVlSFMUmeMeuHrrCMOSVr3wl3/Ed34ExZtNDyOmyZZUU9AJN7Cny2lDUpjVNY9f/W5kT5rntWv+uHlft2OPm29/+dsqy5G//9m+3ZbVeeeWV/PVf/zVPecpTePvb377FdHf12CruxG15yTYYPSFP8UU9XTjVcSIR6BTKs4wsTaEsoSwQ4zFWKbIoIi8KBv0Bnn+G66jbnYKdAcm1YrHXp5CKsqqQvk84GNCbm2tr8aqKZoblcc5ipIAwpAlDcG2zbbSHCwKc1mhP46xDJQn+nqWWz7phMNNaM78wT1VWlFUFziFk24x6I7g7TRJWV5fp92NecNXlzEeWcLi4nmgipWQwHBIUBUlynOl0mSjyuPbaF6H0kOGwReFtp6qqqGvDZKw5fOQePvKR/82HPlRz3XXfxbXXfgdRFBOEIWlStqVCu6a5IxJia8LYmcwSlRR0A03st+YpZpSoyrQJQ1VjqNfMU8kWFbmrs0I7Zpof+chHuP76608JN4cWcH799dfz0Y9+dKcOu6tHICEFURw9yEaAp9uEndPJuRNLf57eEpoty4IsSWA6xdeaqNNFNoYmDEmLgqaqGAPzc/MPe8Y5mU6okwSVZiz2egSLC209aVWT5hmuKkmShP6gD1GINYbx4UOIvECZBn84xNMai6Ms22Qg2+2i44jAD8AYOA3Q3A98/ODUHU2+/s02lHf5pZewb+8iYRRCmbRY9Xiwvl2SJNx+++34vs/VV1/N4tJeVldpZ8WnGDudczgHeZFy3313zDi08KlPfZhPf/ojXHPNy7j22lfiaJlL7Rrc7kD8eEsKQcfXRJ6iqA2ybhscVLPQ7Zp5ainwtWobD+zqcdWOmeZ4PF5vpbUT2+3qLNJw+OBrm2uhWQf0B1vezvOCZjpBNganFFme4zc1gdbM9fuMkil1XpBH+cNqO9XUDVVRINKMbiemMYbprFON1ppep8MkTSk9n6bTFukXRYEtCnxr6HW6bR2HaDHnOtaosmj7TGrdmuZpr39WD1pWWGdRUhEEwbqJtn0sxexWOebn5pCzm2oR2GyWbet3uO222/iXf/kXAJ7//G8/oxpJKSVKwcGD3+LAgduQUnL99d9JUWR88Ys38fnPf4LPfvZjPO1pz+G7vuuVLCwsnkk0/ZyXMYYizzdHW2YQ/cdSUgjiNfNsLFllsM6tm2dtHI11M/OUqCdA3ey5qh0zzSuuuIJ/+Id/4NZbbz1lb8lbb72VT3ziE9tyXJ/0cu7sJoc86GmJU5aOVFXJaGWFZmWVYRhSz1qJmSwnC0PiXo84DBlnOcXDbHBclAUUJXVdMZkYqCvWMmYqzwM/oLEGXZaUZblumpRVC3rY5rxDv6Xw2KahrmtOFTiuq7pF2RVlS2y3llpJijBEByH9Xg+l1XoXjm63i+/7J/pvbngiufv2f+YLn/5HoMU4Xn755eT56a/dOYfnedRVzr33fpPVlaOcf8HlXHfdjSglecELXsYtt/wjn//8J/jGN27mzju/xHXXvYL/5/95A7MK2Cel0iQhzXLK2ccG4Ps1fprT6USPy7qvEILIU4RaUjaWrDYYu9U8lbSteYrdWs/HWjv2jfmJn/gJqqrihhtu4Jd+6Ze4/fbbKYqCoii4/fbbede73sXLXvYymqbhbW97204d9pyRK3Oqf/4c5vjBs65f4SPVeDSmmU7x85zQObrao6M1qipxkynTyaQNF5qm7eX5MGZA1ljS6QRTVjAZE9Q1Pc+j53n4VQ3jEU1Rkk2n2Nm6kTEWjME71axirUi+abBu+8+kaRrG4zF2NEalKV2l6Ac+sRDI8YRmMmEymeCs4+IL9yMEHD5yhPF4sg5DXytXmEwmfO7zn+fOu+7GNRUvf/E1Z/QAsUakOXb8CEeO3Imxhssue9b6+Q0H87z4xd/JW97y/+WGG74DpfR6WcuTVWmSMJnmrK5CVfkEQY8g6FFVPqMRTKd5y959nCSEIPQUc5FHL2wTh/zZsoVzjsZY8sqQV4ZmZqi7emy0YzPNN7/5zdxxxx382q/9Gr/4i7/IL/7iL27ZxjnHz/3cz/HmN795pw57zshZQ7N8FJeniIN3o/ZdjFo8HyGfgFSWDV/gsiwxVYUscjph2GadzrYJu11SpcjSlImUrGe5PIwHZ+ssRVnRmU7pz82tgw0AwiCgKEvy1RH5bFuYJWyI9me5DSmnPU3HKbNvaKHrLk3wcQyGw/W13IAWgD8aT2i0oghDLrv0Ejpxh8NHjvCN227n2muuXk8icc7xgY/8HZ+/+YsAXPfia7ni8ksx6QhZCXwLsDXsvaaiKLj33rtJ01X27t3Dt33bVYxGK0gpaJqaMJScd96AK654Pd/93f9q1hbrjG/vOSVrDGmWM51Cp9Mj2MBgDoKQsiyZTCYolRNF0eMKqBdCEGpFoCSVceR1Q21OzDwb5zC1Q4o2bKvl7szz0daOFmv9yq/8Cv/qX/0rfvu3f5tPf/rTHDx4EIDzzjuPl770pbz1rW/l2muv3clDnkOaNVjOUshSXJnTHLwbve9i1NJ+xGkSUM46bciyraYJ/niMMBZV5dTWbOrp2Ikiitn6oz8c0nmY2bPWWATtgBhsw5gL/QDT1LNtWtMMfJ/KD6jqusUEnqSmaTDWgufhaw/YHCe11lCVFZQlvQ2GuSYpFXEcMS3atdE9S0u89ntu5M/e93/5n3/8p3zt61/nhVd/O6ujEd/45m18/Ru3AfCCb38eN37nq9p94LANgEBV49bk/a3med9993DPPXcjpSLLJnz2s+/jiiuu4oorno3WPlL4mMZnOtVI2a7PZtlDusXnjPKioKpASW+TYa4pCALKwmsZww9zuWCnJYQg0AJfedTWkVdmvTzFubahe1E7pABfqV1E36OoHR+Jr7nmGq655pqd3u05L+GHyPnzseNjYOrWPEmhrmgO3YPecyFq70UI/fBLMh5VnSLLthESZy1Rv4/JMtKioBPHJ4xTKWxdU2YZammRKHyQbN5TSGmFFAId+EzThM6Guk9rLEmW4YURjZTrSR5RFFEFAVXToMqKYANLrmka0iyDMMTzvG1xek3TQNOgldoEmt+o0A+YJklrvg6uufr5GGP4wIc/ytdu/Tpfu/XrJ7YNAl74gqv5rle+om167loGLkBVOGwM0tuA6NtgnlEU86xnPZelpafwzW9+iUOHbuPQoW/yrW/dzCtf+Rqe8pRnnPLeed72HIqHOhN9oozRxhjqGrztAb4A+EFAVdXrCUJni4QQ+ErgR5LatGueVbPRPKFwZhfR9yjqCTR9OcclBOr8pyIXL8SuHMSOjoCzM/MEmprmyAHU0n703osRD5bN+WjLsb4eJ9XMiLbJsnVSYIUgjKM2gzZLmeQ5irbribGGcZ5Td7toPzhtycam/Vq3PqAppRAIOt0uTor2CXw6wZvNzmvTgB8guh26ne76IKI9j6gTU8Ud8iwlH49RSrWDDw7CEBUGdKIQrD0BcJj9/pqhnW4N9uS1Jp0kXPdtV/Ciyy/js1/+Crff/S2isP0sr3/BC7hg315kVeGOHWvP0wFTH2u7WCtgRgOSWiDL1jyNP+CCCy7ivPMuZDQS/OAPvp4DB77MBz/4AQ4fvodPfOJ9nHdeyOWXX77tOW43po5GnJI8dCqtgd+bppllC8snLHmoTdJ6vM/i9PKUZKAkzcw8yw3muYvoe/S043/RVVXxvve9j0996lM88EDLzrzgggt46Utfyvd93/fhn+bpblftjFPtuwy5uB+7cgi3eghnzQnzNAcwR+9DLZyPOu8SZPDwZmYPWw7SLG3LNapZRbZSeIFPJ+5sgRNo7WF8j6pp6Pf7pFpThSGmqsnynLwxjJsaJQRYw8ryStuW6RT1o9ZY0jSlLEvc2qiuNcYaZBCgZuHfuqyo12YJuoMX+O35xptB9HHcQXU6VFmKm4xxTdsvU3keXp4TBiFiNDpxAkKstwTRWoPWNNbSNM22BlFUFXj+ifBv3cDycTRw3eWXct3ll26+vuXjIOX6su6d996PXvo2ZNhndbRxy9aM/VAA4zazUg1n3TQkz3/+83jWs57BH/zBH/C1r32Nv/iLP+etb30rcye1RNtOzrWGubz8oJtuUqdTYExGUxuMBSVBe5Ioik5bv/1YS2uN75XkRUkUbX9eVVUShmxaSjhbpZWkryTGutY8T4Po83YpQ49YO2qan/nMZ/jBH/xB7r///i1P2L/7u7/L29/+dv7kT/6EF73oRTt52HNSQvuoPRfjFi7Arh7CrRzCrYdtwSS3o44/gJrf15pn9OinxzvrGI3HNFkKWY60FqnaZtK15zMqK3qD/qam3FEUUeYhxXiC73l0u12cjRmNRlBV2KKgqz18rfHTDFOWJFVF0zT0+r1NxzfGMBqNsGkGeY6ehUwba5G+z6gq6VlHR3vEcQdjTtTelWVFad1mEL0AfI/gwv0E+/ZS1816Cyff87YnI3leW4fqaYSShGFIEYZM04Rhr78pjNs0DVmWQbdLGJ30EDB3Ami/sdRIbvj50JEjvP9Tn+br9/8VL335q/nu73zNNrOF9nsmdWueAMob4JzF931e8YpXcNddd3Hvvfdy5513cvXVV5/BJ73hNOcePOzqHNx/f4JpCsrSYRqB0grTGLS2VFVKM3toOhsUhiFBmJHlDVmWEseb1yyzLMW5hiAQT6gG81sQfY1ZpwztIvp2TjtmmnfccQff9V3fRZIkPP/5z+eHf/iHueSSSxBCcM899/C//tf/4ktf+hLf/d3fzRe/+EWe+tSn7tShz2kJpVGLF+Lmz8etHsGuPIBrKjANJk0w6Z2o5UPIuT3o8y5Fdh69gSlJU5o0QaYZvW5nvZG1s+2aYTGZMBUCz/PW1w093yOMOxTGMk4SPF3gjGU6nVAurxB2OoQLC8wNBmitycuSdDKhYBY+3cDAnYwn2OkU3TT0+v31mZ0xDdM0JWoMiZJtLWZVrScEZXlCI9gMol/TcAiDITh3yjrMTTqp7VncianqimZqWR6tEvgBWinquqZsauh08Drx1jZsG4D2Jxvh2s/fuPNuDhw6jO9JBn3BnqXtB7mNoUSLADGGAkQ84PLLL6fX65EkCXfccQfPf/7zH1KpyZlw98uypMgr6hq6vQ79frTe+aMsCyaTFCjxvDYb9fGWlC3c3zQJ0yRjNCrX/5arqgQM/R50OvETsixnF9H36GrHTPPd7343SZLwG7/xG/zkT/7klvd/4id+gt/6rd/ip37qp3j3u9+9y559iBJSIRbOR8ztw42PYpcfwNVFa55Zism+hV09ihwstObZe/Aw3EORs46yKCDNGPR6m0KcQkp63S52MqaaZYpuLAzv9XoIKcg9j7oqmays0hQF0cI8nf6AXqezvr8oDME5kiylCIJ106yrmqYqEWXJcDi3aUanlGbY62PNCLSmmq2LridxxDEi8E8Nohc87CwWpRTD4ZCJkDRVSVFWYE1LF+p2CcKQXq/XHuMhJtZcceklLAz6HJwmXPfiF20qxcmyjLpuGAz6m0x3I2WoSVYRQrC0tMShQ4dIkuRRMYGiyCkKmF+IiaL4xHOFEIRhhHOOLEsJgrPDNIH181A6pSwNTd2mEscRBKGg0+mcNef6cLWL6Ht0tGOm+fGPf5znPve52xrmmn7iJ36CP/qjP+JjH/vYTh32SSchJWJuH2K4Fzc5jl2+H1dmG8wzxY6Xkb0hat+lyMHCjiQAVHWFq0q0kqdsTh2HEVWetWUYG6PFoqXgxFFMlmckVU3QNOxZWmpDpSedXxSGpHlGU9cYY1BKtY2fy4owCLZmss6WAsLAxxiLF3cIgmATGi0Kw1mzbE6Yj9u6j+1TRrfhtG6YgimpmJubo65KyrKaNURpQ3tK6XafdpZEZO2J/z+VZvu98PzzeMe/eTPLUrGwsLmd3r/cdTcf+PBH+P5/9VqueOpT2vUr69ZNUTiLFoIky/nnr30VZxouufjiE8fdodCcNYa6bqgbuW35BkAYRuRZRl2b9c/zbFAURW14fbumBedQ6HIX0bez2jHTPHbsGNdff/2DbnfllVfyz//8zzt12CethBCIwRKiv4hLVrDHH8AV083mOR0h4l4785zb84gGAjsb6PVpYAtSSTD2lPQcqdqkkG4nRtTVqdeLhEAKibEWZx2odqaLtVsH3Ml4Pc1TlRWyrpDOEm3k35YlpOmJn73Zn33dbN7HZNpC2TcqScA0Lah9I1ZNa5ifO8HZnYzx1lB7a+ueebHp/HC0aanjUbvfk9ZsT5yft4nfu3BS8o5zjiNHj3H/A4f40Ef/Ht/3uWTQR9TN+nro2if9iY99HJNMWZqfY1FY7MF7kX58ItX1EcoxawyDPOUsVgiBkGKW1Xl2ERWEEE/4GeWZ6iEh+pRE7YISttWOmebCwgK33377g253xx137Dah3kEJIRC9BUR3HpeNscfvx2XjdfMkS3HZFBHGrXnO79u25vDB5KwlLQrS0RhrDUppwiDYNOtsmga0Qq0Zq4Oyavs3WuuQUuBpj6qumSyvcHxllXoGFuj3eswNBoRhgDWWSZJghEDO+kEmSUKZJhRNw3AwJAqCdk2zrmF1BM6RTyZkTY0YjSlmtZWB76M9Dz/YkME6v0BZliT33ktZFMjpBD/N6FiDKgpM09A0DXlR4JIEVZbIbhc9GOBpTVU3lJ4mX1yEwbAtrUgS/CJHa423sIi/p2xNZM0koZ3lTdtOLzgHTbP9jG9ueMqZaF3VZHnGsNfj4v0X8OWvfo1bv/7P3PCcq/jOZz6TvYvzlFWFc46PfO4LfPKWL0Nd8W179nCREuR334UNIxj0kTM4ubWW0eoqWZZhnUNrj6YZsjlcsL1aQwSwGGNgG7KSNQZnLVKym3xyFmgN0RdoSWXamWezwTwb4zDWocTazHPXPDdqx0zzZS97GX/6p3/K7/zO7/DWt751223++3//73zpS1/iB3/wB3fqsLuaSQiB6AyRnSEum2KX78cmK5vNs8gQB+9C7bvkISH60jQlSxKqLIfxmLQsCeKY0vfx19bsgKwoIAwJggBjDOPRGFOW7UzPGhCSI3nGvQ8cxB45TFAURKLF5427XY4NBgwXFqjqGmfb8GJaFuSzIvMiTemaBq8xFLPQWs/NsmqFYLWuyK1DFwVeUbSlG55HZzDACwJCPyDKc1aXlxmvrCAOPoD1PGSSUBclK0LgGYPX6zMZj3FCoK0jKCuKyFJZhylLek2DnU7JjWG0vAxaM2gMHWcJophwbh4BdOKYEFoDHMxmjqur8MAD7UzyZIqQc6fsSeqsZTydkE0TkuPHGdYV3/msZzCvFJ+59VY+ftOn+cd//BRXPv1pCCGZpilHl5dBSs6/8EKe8+3PQw76FEWJPPgANktBeyxXFWWRsxD7eElOlpSUUrFq5snNgMFgH1qfJrogJb7v4fmGosjZzmjzIscPwPe9xxVJt6vNailDLdO2No5sF9F3RhJuh+Il3/zmN/n2b/92iqLgRS96ET/4gz/IJZdcAsCBAwf4kz/5Ez796U8TRRFf/OIXedrTnrYThz0n9IxnPANXV3z57z+yo/t1RYpdfgA7OQ7mRKW6ijtt7eDei1F7To/oy9KMdDKByYSmqTFFicwytGyLpWW3iwgCpFbUCMSg3ybGjCeY6QRZVkRhiNaK5ZVV7j9wgPF99+KqmiWtmevECCFJypJlKUgRzA8HDPedx3BuDlNVVKurWOcolELhiKxDKEUwHBKUJeXRIySNIS9LZBAw0ApPziAFQlDPzF31+9TLy+RCIFZX6KQp4eISIk1JDh1ikkyxeU4ehgyFxMcRVjVuZZlxt8uorlFS4dcVc90uaa9PoRTWGHxriIXE73Zwe/binX8esten2zQEWXYiFLq6CvffD/v3z+o5Nn5gtDPTuSHML7SvrSzDwiIjrclHI5LDhwmqilApfN+nbhqWx2P+4eab+ca/3E2qFN1Oh7ppCAKfpz3lKbz4uc/hvOEAkaX42sNPU9xwyFFnuf/QIS7Yt8Rw2J9lG0uKrOLuezKOVnMsXjpg/4X7T5tAVJUV9xxI0NqyuOjT6XRQSmGMIc8z6rpg0Ie5uT5+8DhDOXZ1SjnntiD61iSEOKcQfS983rORQjyspcIdm2k+7WlP42//9m/5oR/6IT7zmc/w2c9+dtP7zjn27t3L//k//2fXMB8jibCDuuCKljK0/AB2fHQrou/wqRF9zjqyPIPplG7clk1Mp1OKMIC8oM5zkoMHYTigt2cvXq/HoD9oIe15tm6Y1lnKyjKaTAjTlCAMCcOQMO7QD3yoazwpOH7oME5r1HBAr9dDK4kqS+YXFlBKsjKZMpUCzw9wRcHqwQcoi4I4zaDXIxz06TnHIO60EA3nmGYpjZStea6sMDp+DM/zWIwihmEIvR7OWlwUIYqCUb6KMAav0+GCpSVEljOZTgmqmkEU0iQJoQPRGBa6XYwUaCFoygpRlTRNQ6h120ElTSmsbfF8J2uNLoTY+ppjU3i2qkrquqZYPk5fa2JPt/0/18pegoDXv/CFTK68kvukJOj2CMKQYb/Phfv2MhmNENMJ/W4XrWYh7cCnmkzpJgmxnceDlqAkwOuHPOWKmPCBnCybMJ1O6W/TI3VN2vPpdjp4/hSlSsbjch2cFATtJLvX6+wa5lmukxF9+UmUoV1EX6sdhRu84hWv4O677+bP//zP+dSnPrUObD///PN56Utfyg/8wA+cVWSQJ4tEEKHOfwpyaWaep0X0XYTw2wSdoixxZYmWYr3OsNfr4fseeRhCt4MXhVRaQxQxNz+HUorJdEK2soonBLYswRimacLkyFHs6iqXtKw1dByhghBjDcIP6KQp2jp8rbFNQ1XXRFKudyyJgqD9kkYRutul9DzSgwexUtIbDFDOEZrmBHVKCDphxDhJUGFIWtc0kylhv0d3fgFm1181DdQVsecxtRamU8JZOLVumtabrCE0FuP5qOmEyvfx65ruoI8AqqqmbBq8IKTJUvTSEljTXoexbOFgTSdbiyCdaxOHTqoFLYqiXWtEoE1Np9ff5LWdKKJyjm7g822LS4R79qyTf5IkwZUlgee3a8AzL86ynDrLiIVAHxtRW4Fekihfg9Jo6Vha8sgqS5ksk9iQyvpwchbxTEEY0O9LOnHWZlrPTNP3faIo2iWBPcHkzUyxse2a5y6i74R2HKMXxzFvetObeNOb3rTTu97VI5Twghmir+XbPhiizxgDTUPgbR7wgiBsywucoxt3SKoSLwpbbqt1TCdTivGY2NNoqfC1JikK9GSMNYY8y+iFIVq0ZRme1kyzjKXBgHGaIaXCVlUL7NmQYetrTVFVeL7HsNcn8DzqlRXCuiKOIurpBE/rTbM0KdtGvcYYrDGIskSL/ibknTFNWwZCO1joCpRosWTWOXAWrfVsFqloaNuJmbpqZ2fOUZk2qUcLKJqmzfT1PExT4tacStBm3fZ7LVBhONwanhXiRHh2NhCZ6ZSmyPG0Qs8oTJs/2BYo4cqSvK6xs2uVSmGtQRizZZZX1TWiqgj9gMD3KaYptfLQ/Q4EDmEUkS9xlMRRSdxfweJRyS6GrWVC0CLnBsPBepbsWp/PXT1xpaWkH25G9K3RhZ6siL4nJk15V49IQntnhOhznSHoLs4/RUr+rJRglj4J0IYRswyZpnT37V2fofbLLk2nS5KmuKokpa3drOsaay1NU9MYS2MMgWDdTOq6boHsQmDbth+IyRTqGpEX6CRBJQliNEJmKUgFJ0Pfp9O2LgIBYgZR32CsawO7EKK1t9l7xhrqpsE6hzGWRgqElThjsaZN1zemOZEtzEn8gu3Csr1emzU7HML8/NaZJrSGubh4ArMnJaIoZtFbNwOiz0x+xt2t6oq6KlsMoGDLGuR2qQtOCKxtB791OlFjcU3ZZlYK0K5G+SGhroCKWNcgNQRd8DbXM26EGuya5bmlkxF9QpygDD3ZEH07bpq33nor/+2//bctwPbrrruOf//v/z1XXXXVTh9yVw9TmxB9oyMtZWgDoo/pBC0VtY6x+5+CjLfWFZZlCUGwDrYuyxJtDF4UbRo4wyCAKERLRVVWZFlO4/uUZUFTt6HYg8eOYpWin+V4jQFrKbIRg7gDQjApS0QcE4cKVkc00yleVeLVNW48RlQVdV0Rdk5kcDZNA0WB7PXbGs8owghBWVeszb2kVKAUpqpoHJRSkOYZnlbUeUaepixbhwhDmqZB5RlSK2RdcXwybWva1o7nQPkBYhbaElqjTjYsIU5QiE4eXDa+PnvL8zyaOGIyGZMlCXlRoIWgahoqY5DGYI4vY+oK1+sji2J9pqe1pva9Fiu44WEiCgOoQorVVdIsQw8H6zWwAqCxjI4vk/qaucHwxPk1rXliGygVBB3w412TfJJoF9G3w6b5nve8h5/7uZ/DGLPpyfa2227jtttu4/d///f5tV/7tdNSg3b12EtIhZg/HzHcjOiTNFCV2DQhLacEg0X04n5E1EMIQZ7n7ZfFD9b7YNZ1TSAFutcjz3O0Umit6cQROoxwvs+9R48QK4U8Lgi7XVRVU6YJ2TRh4mnkdIqcTAgBledUVY2b7dtqRSUFMs+pul2056GmU4zWNNbg8px8RgCyxpJnGfg+tTF43Q7eYIBRmsl0yrxUKCDwNKVSpFVFbhrqICRPEkLrcHmOzXMksFyV6LKip2RbhpLnlGvdTYSkqzVYQxCG1E2DDKP2+k8GJjxERVHEWEgmSUqQZoh6TBT4VHmBKQrGVQV1hW8dvjGIqmY8mTDo9wmCgNwPqPOCvCiIZtSeIAgIY8OqFJTTCefPz29q3j1NUsZJgt1/AX53iAhDqAvcDILfmic4a6BIWvMM2kzoXZ37ejIj+nbMNP/+7/+en/7pnyaOY9761rfyIz/yI1uA7b/zO7/Dz/zMz/DMZz6TV7ziFTt16F3tkLZD9GkSaueoi5wmvxc9OY4Iu9SdRZqwN4Ogdzats4V+gPQ8rFItpF1ptFJEYci9QlAAozTjAq3xqhohJbWQ6MGAOAjIcERHDuPPzSE7HfI8wxmL7HYgzxklKYG1BHuWGNQRTdPQeBozmVIARZoxSpJ2tqY1rqnbLipzcywKycQ5JsvLFMvHCIxBpgl5mjKxBhuGYB2N1hwaj4myjAiwnodXVsgwRCqJDHymSUIWxUiX4zsoo5Bht0vWNARBiOh0iE3TAg0egaRsZ61RGGKyDKck49EIXVYYaxHWYoUgHg7ozc0hZ+vUiZT0+n3iOCazlixJKIuSIM+xQYCnNeVgSF3kHF5ZpjQGLSVZUVA2DXbvXvpz83Q6sy4gQaett61L3FoJ05p5OgtlCkEMfudhATR29cTTyYi+vDKYcxzRt2Om+V//639Fa83f/d3fbWn9ddVVV/Frv/ZrvO51r+O6667j13/913dN8yzWRkSfTFbhyD3U0xHO1tRlAWWBqHJ03CPoXr6p96XSCuN5hFJgPZ/K96mritoYXBAwd8EFZHWNEIIsz1G+j/I0Iu6wv98jqWoa5/ABPwiowwC67aAdKY2SkuzYMSrfZ67bJSoK6HRIPA88H5Gm5FmGaxpQEq00nShG9vtEvT6BbOsbV3yfBii1RkmFHg5R3S6B9ljodkmmEypn0U1DYAxBHCH7A5CSSGsU4DyPst8j7HYhzXBaYaOIztISst+n2+2gJ9MTzNm1haBtykpgm59nyoucjtYEgwF6fp7jhw6RVzXaWOJul1hrXJahg4DBDA4/niZUno81zTomLlcSM5shWyHwl5a4aHGRyXQCVc0kS8E63KCP7HYZDofs27dv89+GVK0xWgtN2YbzYat5+jEEnTMGaOzqia0nE6Jvx0zz5ptv5vrrrz9tr8xrr72WG264gS984Qs7ddhdPYpqEX3z+N05vGxEffgANh2DbZDWILMJ8oE7qJbvbylDC+cRhRFVmJNPxswNBsRxRFXVWGswaUo/z+lccQWJMUR1jR+0rbT6nQ5RGHLw2DGK6ZTeYIDBQX/A4tISArDW4KxD1RXa2BaG3p4o3VnCTu179FSPpmkQUqKVQiZJWyuZpiDasplut0OmFEWeI5zDV5L+aIRsGvwkoVdW1I1p0Xu+R8cYoijCOEeDQ3Z7eP0+C8MhYb+PThJMmhJ4mq5zeNa2LNvRqC0jmYxPvrmz/z7451CVFVQl83NDfM9vs3iBUKm23jUIKI8exZUlZnmZIAjwk4SmLKnriiAIiIDIQQmYwQDm59AL8/h+wPnifNI0JU1SrLN4nsdwODwtWF1ICX4EXtDOPLeYp4Mya7cJOqcFaOzq3NGTAdG3Y3/JWZaxtLT0oNstLS21jXl39YRRi+ibI7h87rSIPnPobtTei/GCLnWnw+p4TBgE+J6HlIKyrqmMQXc6LCpJz0G/txm7JqVAOEccRRhnIY4296J0DhPMwpTQgsfnhu3vAlvK50+m7AjRNpAGOhddRAfWoeqr992PGwzwO12qNIEkoWNdaz5FgYpj3GwN0x8O8OIOea9HNBigsoysKFo+7UaQu3/i/DbpJCj75vf0ScyDtkuKUhohZXtPOx0Gve46T9cEAWUQYAcDiELwPKynsXPzsAFIHmw8xoYylE6ncyIM+xAkxJp5hidmns6dMM+mhGqjeZ5R19JdPcF1LiP6dsw0L7zwQj73uc/RrCVGbKOmafjc5z7HhRdeuFOH3dVjLBH3UPHTkCch+tbNsywItQ/dBereHHndgs8BmiDEDoeEWhMohZlOtnTdMsaCVlR1hfIDnIMsS6nrui2YB/I8x5ezzLz+4PRttrYr4zi5NdjiIjiHXVjErixTRzG2KKhHIxqlsNZSTyaIpmmT3LpdwsGAvCiwYYCYm6dqGhop0HPz0N/QCHy2b2j//vM8p2lqQKC0IgojvJML/08aO6SSGCmpZ98tqSQ1MJ5O28xf55hYi+736CwuQhDQSIXtxMiFBdiuZdcOj09CiNY4dQBN1Zrl2r1vqtZMq7zdJuhuoU/t6tyUEAJfCzzl0VhHtgHR11KGHEXtkAI8pfCeAIi+HVuV/d7v/V4OHDjAm9/8Zkaj0Zb3J5MJ/+bf/BvuvfdeXvva1+7UYXf1OGkN0acvfy5y4QLQ7cBvshQzWSUcHaJz8DbCaoLu9/EWFhju28fc3r34gQ9KYpUmL4v1fa6FVG3cIS0KCmvJ85x8NKJZHWFWV0mOHiXNUtKiOBE+XC/RONU/Nv8/bG0ILQRhFEIUk1VlC1WIIvK6asEAYUhSltRKIX0fpKR2FrGWUFNXEEVEcTw73oZ/sxKW1dVVivGYZjSiWV2hXF1ltLrCeC10u6E+daOCIITAb9dqraFpGkZ5zujIUZqVFbJjRykmY5IsJ8+y1pgB4QcEfrD1fB7FMUkIgfACRNhryVIbB8CmwuUTXHIcl6ycCOnu6pyXEAJPSQaRxzDy6AUaf5Y86Fwbsi0bQ1o1VI3Ztq74bNGOAdtXVla4+uqrueeee+h2u7z61a/eBGz/yEc+wmQy4bLLLuOLX/ziOuZrV48esP2xlKtL7MpB7OrhFiQwK01QcQekQu1pEX2jtKCZTqnHY1zT4Oc5oe8jpKQoS3KlWMkyZFXRWMueTofumjE1DUmWUmU5HSkJL7uM4cmdQracmFuHnrczTdpw7VovzQ2y1jBaXcVNE7RzVFWJKCtEXZEVJQUgtKbT66F9HxfHiMBHComNY7xemzxzsjZC70PPIwh8BG2taFGWuE4Hv9djMDhFuHZ1xOqxY9jplDpNcaMR9fHjyKpE2dn0OwhxWkMUYvyA+PLLiHo94rjThmJ3oHfmw5FzDkyNq8sZYGKDtI/QfgtK0P5ZP8PY1c6qsW22bdFshcMLeFQRfWcFsH1+fp5PfepT/NiP/Rgf/OAH+Yu/+Ist29x444387u/+7q5hnoMSXoDaeylyYf8M0XcYZ5sTiD7bIvo6c/tI43mYnyNbWSW1FiaTFr3m+wil0L0e9x09QlwUBLMWYZU14AeES0sM8xy7vEKT5xQz+PsptSVDFagb7NGjlFWFtXYdAuD7Hr26YVpVZElCk6akWYotK0y3y8T38IHaOYRp8OuKXifGRjE6jhn0BzjrKMoW3C4EKKlIsxZ63+vEhBtCpZ7vEwYho8mEyvOooxjP97aeb9MQ5xkrkwmjY8fwDx6kUxRtctRsyqxVgvb8FuG3bx9ymhBrDXnePjCcFAZ/rCSEaKMQymsfpJqyre2EE2HbpkIoDxd0tlCGdnXuSktJL5TETzBE346mtJ1//vm8//3v51vf+haf/vSnNwHbX/KSl3DppZfu5OF2dRZqM6LvMG7l4EmIvilR3MX05tELe8nn5ymKgqZpKIuCMs8hS+mVJSZJmEpFlmXMDYcsDPrEQYCvFGWSkh07SlWWhP2tpKJTyjmSJKEej7EbSmVQEikkKgoxUtBISeIcOWDLigqIlpZQQUihFN1ej95wiJ5lsEZRRF4UpGkLSKdpZ7JFY8iyjIEUhMHWh0WtNWHgkxcFRVFsMU1jGpLxCDtNsGHYJvzEMWG3g+u18AIhRNsM3Dm81VXk4gJqaRF6fVhdeagf4aOi1jw9nNII27QZtyebp5kh+sIOeNGueT5J9ERD9D0qeeCXXnrprkE+ydUi+vbj5s/biujLEsgSoukyneEScu/FrBYNKwcfIMpzKIs2pBtFCGOo8xziCKzDD0IoS/TSEnY6wQ36J3pPnk6zjNTJZEKdJMhJC3f3PA/rHNV0SlI3lEBfCELnUFrRkxInBSKKMGGIH4ZoP4Bul04cE3farj15lpNMxjBN0EDg+zgcRTKF8YQ6jijLol2fPEm+55EXBc1J5CBrLOPxGDeZIpMEv9tlGPgEnQ5+UWDDEB1F9LqzDGTnaJxlKlWbUHUWmo4Qop11bpx5bqIMVTjbgEx2EX1PMj1REH27xVO7elS1CdE3OdaaZ5Wvl6uYLMUeP0RVWUTu6MYDuotLVEmCV1V045ijoxHT1VWmQUgUhQT9AS6qsVojF+bb8OODnkhb71hmOSpN6MYx3gwEABBUJenhQ6iyRAzn8LXGS6YEShHFHVLTkK+sYuMIT3vkKyskl17S1is6x2h1FZ0kdKOIKIpo6prGGjpRTDOd4pKUNE1niTmbv+xraQUne0OaZZgkxatr+t0uZaeDbGqCKCKUgqwsMVJQ+t66GVvb9uR6IhiNUG0bslNShnYRfU9KbUX0ifbB9ixB9D1s0/yf//N/PqID/+iP/ugj+v1dPbEkpEQM9yIGe2aIvgdwZYpravLVFVya0EMSmISyGjJtBFFT041j5vt96tGIYjqlmBsSBCFFVULg43n+Ga/V5UUOeU7oB3gblzod1FlOJy8okhZ5ZwCvqok6HUgSlOeRr44wvo+IIiZKMS5L+gvzxEFINp0SWIOn2oSmpqrAGKq6pgSq8ZhwMKCIyy1rsEVZgn8Ceg9tA/CyLKAo6HZi5DRp255pTd00dIRsubJlRelX66ZZNw14+pRlX2ejTlCGzKzWcxfRt6uNiD7XIvpOQRl6rBF9D/ub9aY3velhPc2udV/YNc0npzYi+sxkmey+OyjzVURV4ymFyibIKiO2ktyFLK/Cwlw788uLop0tlgV5WcJwuI6IOxPVdQ113Za8lOWm95qmQVmDPzekVBoHxN0ueD5plmKkQHm6zfgbjZCeh0im5FWFi2N0WWKs4WiaEQAd38fTGu0ceZZTWMMDBw/id7ubTDPLsjb8FJyA3q+dj6sbFKwboNYa7flYT5OMx3S6XfKynJGSbNsezDTg+adPjjpLJaRq8Xt6F9G3qxM62xB9D9s03/nOdz4hQkC7OjslhGDqFGW4h6nI6NoKrcW6QQhbIVyFKTJWRxVZ4UilxE0mLU2n1yeMO1uzTR9UDnGaqamUasPMtS0LsVUNDqJuF2dbHm2kFLrbxQmBUxKpNTavEaOjqOEc3eGgbYcGhL7Ht+4rmOY59x061Pa7FC2swCoJ/R7dbndrc+nZA+bGmtJOHDONIsw0YZym5EWB8NouK04IRNwhjKIn1EzzZO0i+na1nc4U0fdoU4Ye9l/bL/zCL+zgaezqyaa6qWnKCtU0dBf2keQ1XtUw9CTOVWitsU1NbStMPcazBu0Pkd0OYn6OKIoeMvZNa02tPao85+T5qVKKSiryskT2e0jnqOtqVqJSEXQ6ZEBtDL5pECqmO+iDH5A1DeOioNs09MKQAKiret00ozBkfm6O8bFjrDYNajRGSokIfKKwx0Kvtwl6v3Y+aE3jLMbY9X6dWmt6nS55NCX3fEpjkEoTxjF4HlFZEMRnPvs+m7WL6NvVdnowRN9GypCv1Y6b5+7iwK4eF9VVDVVFGAT0ul1kt8uktuS1j/YXkCJEI9FS4poKKSyLfsOe9BCDckIc+A9+kJMUhiGEIUVRYE7KVPV9n8IaKudQ2sOLIipjKYqiRew5S2UtKImwDqEkaI+5Xo8AQW4NVZYSByE0Tdv8ejZDzIu2l2UYhswJgdfUdKSgA0RCrJfcbJRU7ZolQdDWeW6oN9Va0+10Ub5PuLBAb3GReDBgbjDYNjv3ia6WMhS2lCFvG8pQNsZNj+PS1RProbs65yVmM8ph5DOMPLr+VspQURuyqqFq7I5Rhh6VuEZVVXzlK1/ZVKf5nOc8px0EdrUrwFoLziGlJApD4rl5pmXF0cmEJC/oRCFlFZIWI/xYEfW7+Eqiywxz8C7MkQOoPRei916E8M7MQMMgJI8ibBQxOXQYfxbGdM5S5TlOa1yvDzhqY6m1JltdIZ1MifyAaj6kKUvypiGOIsIwRHttr1DfD3BRQ1HXlEWBF4bkZUFdN6xOJhip6FITdbvM79lDHMfUVUWSZzTGMEEwPz+/Kakp7sRUZUktjjOeTvGjCCkFNs+p0wQ5v0Dc6dDv9xFycxj3XFTLtw1aWIKpcXWxlW9bFy3/Nuy2tKFdPSnUIvoktWkThspmI98WrDNUBnwl8U5eBnmI2lHTTJKEd77znfze7/0eSbK58W632+XNb34zv/RLv0Sv9xCK0Xd1Tkop1fJby5KOkiwtzAMw0ppkNMIcP05WFBRhRG/P+VyxNMCrUxpTU49HOBwyz1AP3I2/7yK88y5pWaenk4DhYMB0tYvpdimcaxOChED6PtHCAuEaAL6qKJqGzA/QnofxPPwgbNcuywo/DOnFcZuwIwT9Xg+lFHlVUTcNVdOg6wanFHUYElYVfn+AiEKUkhjTtOulxjJZPd72KJWSueFw3Ti11gyHQ6arq9gsJzMNVBbpHCKKUHFMp9tpN7drfTpP0avzHNJmylA9owzNMGzrlKGy3SbogA528y+eJPJmpngyos85h3NQOjubdfKwCVk7Zprj8ZgbbriBW2+9FYBnP/vZm9izX/3qV/mt3/otPvGJT3DTTTedmrO5qyeFgiAgCQLqLKOuajzfY9jv09QViTEUs0GuNz/Pnr3nUfS6VMbgT46i8uMIa3DVCKMk9WREcOQ+vD0XoPZdggzjUx5XSEm/P6DOcsqyxM3wIz4O37UDcuMsNaDjGDU3R60U/twc8b59ZFmKZwxKKhCCNC8gCOj6PjIISI4cwV9YwOv18DsxVVUzYJY1rjXS8zHGMpmsQlVCVeMXBVmasgI4axkMB+sweu15zM3NURYFVV21NZjO4luHPx7BeLTNRZ55r84nstbM0ykPsYvo29UGbUT05bWhOAnR90geKXfMNN/5znfyta99jZe//OW8973v5WlPe9qm92+77Tbe9ra38YlPfIJ3vvOdvOc979mpQ+/qCSgpZYueq2vGSYIUgqos8IuShTDE+T6cf37bequuGR86jLSWxUGfYN8CshxjpsdpqhIna8rxKjZP0McPIuf2os+7BBlvE9FoSdB4+/axnjayBnVfHcFwiBYnvhhBVZNOp1AUCCno9/qUSUKS56wcOYwKQnSnQyeKOLa8TOV5aK1ZHAwIw4DpdMp4OYOmJpobIqUkTdpenYGShGFI1/dYThLqJMWEE8bA3NxcG3IVgO8RnH/+iV6Ys/6fp9TJvTpP6s95rmkX0berU2mdMuQpsg2Ivkfy6e9Yl5P9+/djreXOO+8kjrd/0s/znMsvvxwpJffff/9OHPac0LnQ5eThyOGYTqaUWcbo8GHs8jKxkm19ZBCiopB+r89kOuXY/fejw4B9F+wnitowrLMWm66QH38Ah0V7ar3UQsUd5HAJff6lyM42UY1NcAMHx4/D8jLMz3HyV6ooitboyhKqkvroMVLfpxkMQAi6nQ5+FNIoTVJVxJ6H7yw0DUVRkOU5npAs7dlD0zQ0oxGxUnRmWa55UZA1BjUYYJ3DdGK6c/ObM2pP/pae7mt7siE8Cf3BnYzoW5P2QSrELqLvSSnr2uSga57/XIDHt8vJ8vIyr33ta09pmABRFHHdddfxt3/7tzt12F09gSUQ9Pt9EimZdDpQFETDAUprwjAkCEKctdRNTSQlvpCUZbFumkJKVG8RP+iTLB/GkaOV2IzoGx1D9udR512K7M2dGCTF5jNZ77W5urrlPENA4yidowbk0hKq36eZm0MqiZQKKQX9MGTJD6iqqs3QtRbPNHhJQlgUeFpTZBnSNHTWebFQlm0vzjAMQcB0Bm/fZJonj+27g/1ptYvo29V2WqMMPRLtmGledtllrG4z4Jys8Xi8IzD3L33pS/z93/89N998MzfffDMPPPAAwLZpxdZaPvOZz/D+97+fj3/849xxxx1UVcX+/ft55Stfyc///M+f9pw+85nP8O53v5vPf/7zVFXF05/+dH78x3/8yU012tJy6zQzny1syM0/a63pRxH+0hKDQX/Te421YCyB5yGdwzSbS0WgLRexfpdyuJ/YA0aHcGW62TwnK4hOH73vUuRgsT2Djcaj9anB786hhdj8ZfG8U/ao1J5eB7lD+zdfjSesjEZQVXRUGy5tjCHLcoySyCAgDAKss5BmGLv1Onf10LWL6NvVTmvHTPPf/tt/y8///M/z1a9+lec85znbbvPVr36VT3ziE/zKr/zKIz7eu971Lv7mb/7mjLa9++67ue666wDYt28fL3/5y1FKcfPNN/O7v/u7/PEf/zEf+tCHeMlLXrLld9/3vvfxhje8AWst1113HYuLi3z84x/njW98I7feeiv/5b/8l0d8LWeznHNMp1PSWWuvXrdH5/gxRLEBQ5dM11thbbsPP6Das6fNeBUSrxMjhifaZAkhMM6R5Tli9rPvt+UCVVO3fS/LAmsdRin8MCAOI6RS1FWFsZYky1BVRRKFKNnHrxpUmeOaEovFjscgDuEeuBfhJEJ1MF6HJoqQUqLDEH9xYeuMYzKmKQoaoIoiBO25+c4hjh/HmLYmsyrbQdgPfHQUoRZOGHCv22PUGIqyZHTsGJM8Z5IkKCEQYYDu9el3uyAE1rTAdWMMk/EEYwxKKXq9HkIKmrpp+bLQYvq8h/cVtqbF7jkHSsr2fp9m8mqMoa5rnAOt1GlJTA9134+FdhF9u9op7Zhp/uRP/iR33nknL3vZy3jb297GG97wBi6++GKgzZ798z//c9773vfyYz/2Y/z0T//0Iz7etddey1VXXcXVV1/N1VdfzSWXXEJ5Ek90TUIIXvnKV/L2t7+dl73sZeshurIseetb38of/uEf8kM/9EPceeedm6DZKysrvPnNb8YYw/ve9z5e97rXAXDkyBFe8pKX8Ou//uu85jWv4YYbbnjE13M26vjx4zzwwANkoxEizwABYcD8NOG8sqS7Vu4wTWA63fL7zjnKqqJaXMRMJsy6MsOevQSeT9zp0DQNaZpy5PhxqoMH6QcBxlpKa/GDAE9rji4vs3rkCIGSzC0uUqcJtZAEgU/H8xmPxxxdXUU3DfPWEkYhXlGg8oIgUPgRKOUQviYfj6FpEI3BOEntfIxViLkF/AvOJ447xFHUzgTrhvzwYYrDhyikookjEBKlNV6ngxSz7gtpgp0ZmdQa/8ILiWc9N5VSCCFQWlFLwYoxmNVVenmG8gO69Bh2uxRFgdKKPM85NoPTx0IgjMEphQ1aoPug12szRQE8D+0HdDtnjhO0xpIkSftdqWeEHaWRvkccd9ZD32syxpAkSftQUM2+X1qjPJ+4E29i3Drb9iotimLrvqN4C/Xo8dBmRF/VUoVgF9G3qzPWw04EWkuJP1lrQPbTvSeE2EJAeaQKw7AtIXiIl5PnOeeddx7j8ZhPfvKTXH/99evv/eqv/io///M/z/d+7/fy13/915t+76/+6q943etex2te8xre//73P6JzPxsTgY4cOcK9d9+NfeB+vCwn8j0kgrTI8ZOUyDnmn/c8hsMhYjyG8Rh6vfWQp3Pt4MyBezHz84gLL0QqhV1dpRkOsfv3o6MIYwzpsWMcu/9+5OoqZClYh7SWCkctFePJGLM6IgoCls47D+VpirqhkBKrFBQF1loGVUnHQdPvI/Icl2Xo+Xk6/T79bohpEqwtEaZBVSUiCBB+gKsNldclnd9Hb88+okGfKIqYjicUd90Jd38LOxxCt9umrQvBpGkQUuKsZah1+/RpLRQ51fwC/mWXEi8tMegPmE6nNGlKvnyc1ePL1MePIYuCQbeH6nZRQUA8N6QUkiPHj1M0DX1r2oQi7ZEVOeM0owl84l6fi/dfALQdTZznQ7fLYDBoQfSnkTWW0WiESVPIczytkIiWgasVdDrEvd46ntAYw2g0wiYpFDme1pu373bp9vpEcYSzjtFoRJOmkGXr+26MwUgBnS5Rr0t3bS33LJFzbjOib6O0j9hF9J2TetazngU8xolAF1544TmReRZFEVdccQVf/OIX1wlGa/rgBz8IwOtf//otv3fjjTcShiEf+9jHKGaItHNFaZpy6L77sAcOsKQ15198MeFsQC6LgqP/9HXKlRWOHz1K1IkJ5SyRRp2AnRd5hSkrVF3RiSK8waB9zzSUYchkMuH4ZILXNJg05YIoovE80tEIMRrhScEoy1ldOcJAa+LzzqMTBkjXzgA7dc1kMqGUkm6/zyXz8ywqhRuNSIKAMstQdU3dNESeh9QhjVPkq0eQ+YSOD36ng/Q04PC9hqA4SnYoR6nLSbMckgRbFPSFIBgOCZaWcM5xZHmZZjJhOU2Z7/fodhdZGg7BOYpjx5gKmIxGeJ7PkaLAtw47mRBIxflRRHXe+fjGUCZJW6eKY+XwEVabmrQxLACXXHRRm13rYDQeEZQVq6ureDPjHvYHOGtJ0pRiOmGqJAv+wmnDoEmSYNIUXZb0+v0TUHfnyIuCZDwhE4LAD9CeZjqdYpMEXdf0BwOUOrF9mmdk4wkJAj/wydKMJk1ReU5/475ps4OTyYRctvt+6JD9R08tZShsKULNbOZ5MmWoytttgi5Cnz3nvqvHRw/bNO+5554dPI3HT9ZaDhw4ALTrnRv1ta99DYDnPe95W37P932e+cxncsstt3DHHXdw1VVXPfon+xhpdXWVanmZnpScv7S0bpgAgR+wZ36eo0ePMlpZIdmzh/AkLFUL1Kmgqgi8tkXWRgW+j6cVdnXEJMvY1+sReR44R5Xn0O0QKc3hJMFXik4YsHfvXjqdDvcfPEjTNMRBQL/b4dhkSqgU8/0+XWsps3bw1k1DFAQY36dOEmrAA0Tj0FOLTSeYsI9UPhiL9ByyLomlwN77dUw8xDmPrlQEniaYDfTGWUKtmRQFc4GPqmqUFOtRlDAMqLUG7ZGsrlLFMQMg0BpblgRhyEIYMs0yCAKa6YQKoNNhfPQoYV1x0WWXr5ejlFWFqxsGYUgn8Dk+mbI6GjPsDxBS0ut2qUcjTFFSlKd+eLPGtiHZPN9smABCtI2zjaEoCvI8JxIRdVlBUTAYDtvuLxu278QdTGMoy5Iszdp9Zxn9Xm9Lh5UoDDGmIc9z8jA/q0xzTQ8N0dcB5Z8Tk4ZdPXQ96QP2f/Inf8LRo0dZWlriRS960frrk8mE8XgMtDWo22n//v3ccsstHDhw4IxM8xnPeMa2r991111cdtGFD+PsH0oo+sy/4JPpFDudMIgiAn9ryC/wfULfR5YleZZh4piNwfqmaXBNgwR8b/sBUkmFyDIaaxFVRdjtkuY5fc8jnl8gryriMCKuaub7AyKtCYKAXq9HPp2gu13mtMbUDYExbQNaa5FCIK1FOIevNQ2QNw2mLMA6tJRoIVC1xUwtYSfGVQbrOYQUiKbCGINnGxQC2YDakGxjmgaaBt/zsHUFfoBrGhpj1h8OAs+nshZjLS7LcGGAU7IF1Hc7SCUZ9LoYYwiDgFGSUEchgzBEVyXhBlNZ7wHq+3Q9zfLBQ5RFgTFNO/MTgjAISOuq7axyCtOs6grqCk+rU7YNi4KAIkmo6gpd6ba7i/Y2G+YGhWFAWRQkaYq2Fq0k+hSfdxiE5JNJex5nsc4U0SeUjwt3EX1PRj2pTfO+++7jp37qpwD4pV/6pU1A+Y3s3FPVnq6t/Uy3SYJ51DUawUPp6KBPXSJxsqwxYB1KylOWA2opZ8zTrd0DnHPg7Gltuu0T2W7jXHusdi8Oz/OwzAxX603r50opfK0JAr81KilxM/D72rGFEEgh2qSPLGsNva5bM21qdFEgiwKbZYhpiswKZNOlCcF5NUYItJglhpiqfb0aoUxnffKhZJsEpGSLGNl4D+TMwNvBtD2f9v02e3jjtXTjmKKp24QZZg8TG7ZxuPZhQGuU0u09dRZnHWtPKkJKqM1p1/PdjEcrT9dLVMn1a3HOgXWnLcGQQoJ1M1Np+xieclvZ3osnChJ3E6LvlJShCqE0LujuIvqeRHrSmmaaprzuda/j+PHjvPa1r+Wtb33ro37MUy06ryUCnblca5jHl8/8VxYX2t87gxlnGIYkvk9WVW0vx7V2O9ZRlCV1krAymTAKfJrJhLhp8PMMoRVBELamoTR2Nvhud0RnbYs+q2uE1kyzlCRNyZOUIs3QnkdtDEKKthSlLDCJZDyd4uoa1TTU1lJYS9/TNLMBTQiBoT2uNaaFsec5GINyDlMUbSJMWSLTFBHHkGUIoEkF5XBIEUkC16CtQSOomwpTTlBji5UBOEnVNDilscaCVOumDdCYBqKQqihIG4nNC6IgQGQ5ntKz8pJ226puDdPzPRolT5z3TFoqGq3a5BvncFLODPTEg0RT16D11ibWG6SVAqWpm1mbsW0G+KquQSuUVO2+lKI5RUY6tIlIKIXn+2Aamsacct/17BzVE6wOUggBysNJjbAG6mIb82x2EX1PIj0pTbOua77/+7+fW265hZe85CX88R//8ZZtNmb5ZVlGv9/fsk2azmoXH8+uLfPzp6fDOAcrKw9pl4PhgNHcHKODB5lLU+b6PZqmYZpm2KIgO3aMbDql7nbRSUKWJNi6xtOapqrxwxClNUYpyrri5IChw7XQgl6PMMs4lmV4WdY2hi5L8jwjijukVclomrDoeYTdDrZpkFlGqRR5krBSFNRaI7pdjLGz/RpUEGKrmjzPcVK265GLiwhnKZdXMFlGEATEgwF0OiAEte9jqorCOvRgL5kShNNlVLkKRYWMY0xdAiVYCL2KlVoRSo3Uug15OjdbO6xYERkGcMKh6pomyxDWsFIUWNPQ7/WRUpIVBYQhSinCbpfaWEZJsl6e4QU+hedT5mMmkwLX7dDvdtdngE3TUNQVdDqnTUbzfA/l+xityIuCKNpc/uGsJc8LiFsyURiEJIFPk2XtWulJfTqtNWR5Dr0evV6XLM0wWpHl+dbIjHNkeQFR+IRNmGvNU4Pqtia5EdHXVECFsw3IGWVoF9F3zupJZ5rWWt74xjfy4Q9/mOc85zm8//3v3zKAAPT7fQaDAePxmPvvv5+nP/3pW7ZZ4+eu1aM+LlrDv516g4e8y/m5eY7v3cN4OuWeo0eZpmkLOs4LktVVitVV/DBksd9nwfPwqjZdX9YNtmmorEX5PoQhddPQZBlBXSOVoikrimlCMz9PMBzilGJ0z7eIkpQwDImCgMZaRsePk6Ypo6ZBWos3GjHX6xPPzVHlOcvLK6w6h15YoNYeK0XBdDTCz3Oq4YAKEHWNlBI/jukEAWlR0ChFxSwkXNe4usYUBXnTUCmF8Dy8wYBAaxovYLyS0FkpsWGFjgROCZq6RmhLXxrQiiIdk2iNdI5iOmHF85kYQ9zrsa/fQyNgOiWZTiizjOWqYppmhFFEIyVl0xCHAcPzzmcSd5iurtIcOsyw1yPwffK6ZjlJKMoKf26OC3vtQ0xVVWRFDp0OQRiecq1yTVEck9QVyWRK0zREYYiQbQlJnhc0WqPCEzi/OIpJ64bpZEJdt4lVQgqquk3qsWGInhkswLSpSWdAhjAIkEpu2reMom2/a0807SL6ntx60pnm2972Nv7kT/6EK664go9+9KMMT7PO9+xnP5ubbrqJL3/5y1tMs65rvv71rxOGIVdcccWjfNaPrZRSXHrJpdxtHePDh/nWoUM0y8vopiHodpHz8wzSlP0XXUQQBOTHj1NnKcI5Ij8gzzKsUoSBTx1GNEpRZik4kHWFDeaQgwGLUcSRpqHfH6DiDmWe48qS1BhMv4+nNV2gjGOKQZ+jjcGrKvxOBzoxuqoJej1sp8OR8RiqCj/LEGGAH4ZoKQmiCJvn5GWJUArZ6+FbizCGpK4x4zGyLLFzc6g4Il5YIO528YOARAhY3ENxfJnJBGTjCP0GpQUyCAikaNcu3YTJSkItIqyzpJ5H1OuxZ88eFubnyfOcxPPohgETucLK6grOWiIg6PfpDYeIbpc93S7DhXkOHwzJptN1EIPzPMrFJYynGczNk5YVaVmtdzPxonDbSMjJiqIQZ/ukQlIUBUWatrWlWkEcocKI/mDW0Jq2CbZ1llyKdvu1dX7V1nTqKGpb/Ik2pG+NJWW2bZad2HcUImfbii1IxSeuzgzRtzbz3EX0nSt6Upnmf/yP/5Hf/u3f5qKLLuLv//7v2bNnz2m3v/HGG7npppv4y7/8S374h39403sf+MAHKIqC17zmNU/YkNPpFIYh3/Zt38bK0hJ3BAFNJ8b3AzylWDh6lL3TKcGMNRymKc3x45AkyDDEq2qs5yHimEhJaueoACsEqj8gHA4J5uZIs4ye1syddx5KStI0pShLBkBZFoRZziBJ0P0+hAFaKpSUaK1ZiKJ2FgMkxqDiGCkEXhCgpCTGEUlBVNeopsalKUIIFj0NUtLEMaUQNLQNnXUUEYUhnnOoNIE0pYcjkJJycYkiCCiCgFJC7ElCXSNdjcNhmgZFja8F1vfw+iH+/DwL821j7SiK8DyPPIrQ3S70+0zrGrWwwNyePYRBQBRFLbOWmDiKWVldIU1TTGPQWnFRt0fciTHGtNnJrk2YasH2wSk/x5MVd2J83yfP8xnqzqGkakOys5nnRnW7XQI/IM9z6qZut1ctUD+azUg37TvwyfOCqiofdN/nih4c0ed2EX3nkHasNdjjrQcjAv3Gb/wGP/MzP8O+ffu46aabeOpTn/qg+1xZWeHSSy9lMplswugdPXqUF7/4xdx55538wz/8wyPG6D10ItCsldXxZVg4fUE7jrbl1eICLC7ycMK1x44fg+UVFufmGE/GuNtup4vDWyv0ThKmSYLxPKJ+H2sMpRAE/X6LZQtD2Fi2M8vkHY1G1MvL9IOAINw88CdJQrk6wpUFLggJ54b0TqLJlEXJAysrOM+jLyVhnuNLibWWamUF2zQIY9pEpcXFE5eeJNC0oVXW9ql0u1Y1nNt8T8eTtnel58EGmLxzDlem2OlRXJGAa8sSTNNgpUbFHaJ9l6D6S1tmGHVVMSpy9Nw8c/Nz7OrcknN2M6JvTdoHxAbK0JNqznJW6XEhAj3e+uAHP8i73vWu9Z+rqn2qe+ELX7j+2jve8Q5uvPFGvvrVr/KzP/uzAFx66aW8+93v3nafb3nLWzZB2+fn5/n93/99fuAHfoDXv/713HDDDSwsLPCxj32M0WjEz/zMz5yz3NmNEgicEBhrEAjMvr1Y7cGGGU4zHtFEMfH8PE1ZUnse/sI8xJ1TdjkRQoCU2G3qTcVsG2MsbS/mrWZfVhVVUeDXNcPzzsNbmF8vXY0uuIDpZEK1vExuDf6ll21OmNouy3Nl9hCy0WAXF7dNOhaAYAnJJbh8il1+ADtdgarEVhUiGdMcvhtz/H7U/Hmo4d71GYadGexue69zU0JI8MMWlrAR0bc282xKqDbybc8+2MOuTq0dM82Xv/zlZ7Sd7/ssLCzwnOc8h3/9r/81F174cIr64dixY3zhC1/Y8vrG144dOwbAaDRan4F+7nOf43Of+9y2+7zhhhu2dDr5vu/7Pm666Sb+03/6T1tag73xjW98WOf+RJPv+5S+T1GUeJ5H4weUVUu3gbb0oEEgggDleZRZBr0eXhjCadZxfN+n8ry2d+RJIW7P88g9jyRN6Q+H20ISRpMJwjl6G4HlG3yo2+sxOnZs1nWjxt80mz3JsNzsNbH2ljjlpidLRH3U/j6yzHBHD+COPYCtSkyegchxTUWzfBA9tw81t4+iLCEI8M9CMs6udk5njugLZoi+07ODd3V2aMfCs2t1aicKubc52EnveZ7Hf/7P/3kdMPBk1dkenq3rmtHKCozHxEFAkWcwmRJ5Hp7nMU1TTBjirZVvKIUeDpgbnj706JxjeXkZNxoRakW3012ffDnruPf++ymSBL/T4ZILL1xfE3MOkjTh0PIKOMvF+87bEt5du/bpvffSJAnhJZcQdbaHVJz6Pj084tLqscNw+B78bIQ/Y9sCqDCitpYqnsdecDkLe/edtrZy07k9FO1OYM9KOedmiL5yPZy/Lu0jdhF9j5nOivDst771LX7zN3+T3/7t3+YHfuAHeMMb3sBFF10EtOSdP/uzP+PP/uzPeOtb38ob3vAGbrrpJn75l3+Zn/3Zn+XpT386r3rVq3bqVJ5ccg8CLNiBZyLP84g6HXJnyZKUummohGA8HmGqGtXpII0hbmpEFCM6HXrdB69dFULQ6/WYWEuRJJQrK/ieh3OO2hj8fo8yjgmVYnk0wpu12arqGud50O0SG7MJLHDa+3C6W3HyfXoExKXe3CIjockmI6rxEfw6QThHVY1xM1pRcN/XMc0EsfdiRHCaMozRCOqH2BHI02dMf9rVY6czR/R5uLC7i+h7FOScwxhz2m5cD6YdM83Pf/7zvPe97+XDH/4wr3zlKze9d9VVV3HjjTfyIz/yI3z3d383L3zhC3n729/ONddcwyte8Qre+9737prmw9VDBBc8XHW7XZRSZJ6PV3WwWUYWx1hAKUnc6SKCAM/36Xa7D1ozuKYgCBgMh6SeR1OWlGst43yfyPcZhgFFUdBU9fq6NZ0O2veZNwaXppRVtS0E3Dm3TsvRyRSK4swu1vGIiEtaa4bDIYnW1N0+TZGj0xVUMUIKhzYNosiovnUb5uj9qIXzUOddggw7W8+jbmD5+JmfB8DC9uuwuzo7dGaIvnoX0beDstaSZxlFUVA3rXGe6Rh1snYsPHv11VfT7Xb5h3/4h9Nu97KXvYzpdMott9wC/P/be+8wOYo7///VYWZ68mzSKmchJIECQgEJS7JIIlkkg3EADvts87MxNr6zfXf2HedwATjbYPt837NNOLDBAWMMGDAiSCBAIERSQDnHTZOnp6e76/fH7Ix2tLOr1WqV6/U8+0jbXd3VXTvT766qT70/MGXKFHbt2sXevXv74jJOSHqVT/MIes92h0BQsArloKDSNgCvx9tlntWeUCgUihZ0gEf3VHyobdum0H6/uq7j0T3lYWMlkSAaCnUSzlQ6jRVPoAaD1NTEenYRugdi0f3D3z11XOpi+NtxnLJJuaYo6OkW3NZd++3X2tGCIdSafugDRqAG2nvpguJ1tDRDzUGuo3Qtba1F0ewYzCQ5rin6/B5g0VdC94KqofhC4JUWfb3BdYt5ZLNZh1wOXFfh8svn4PNpx3Z4ds2aNSxcuPCg5QYOHMgTTzxR/n3MmDGsXr26ry7j1CEW40hlOen+LAreKplP+gJP+xxpNfSSVd0B5Y1AANNxiLenEfP6vGWPXEdVYeBAwtEoHCRB834OmMs8TMclTdPwax2GX32DUGoGIOJ7i+JZMMGxcTJpnEwat3UvaqwBfcBw1GDsgOuQD8yTkYNb9LW7DJWNEqRF36GQSibJZBxyOZVgoGhccjgv930mmoFAgOXLl3c7ViyEYPny5RXelKZp9sjNRFIN+cUJhYvm56bHg5U3sWwbUCAYRG1PJXakRL63KKqKUjsApaYRkWjGbdmBsHJF8cxmcLIZ3HgTargGzYihdmF6Lzn5kBZ9fYvjOJj5AtkMRGOxwxLLEn3W4ueffz4bNmzg1ltvJZvNdtqfy+W47bbb2LBhQ8X85fr163u97EQiUVAIh8LU1tYSqKnFqKvHqKsjXFtLbV3tcSeYHVEUFTXWD23kFLRBY1EC0eIDE3CyGQp7d1DYvgZr30acVGu3qb8kJxeKqqH4AihGCEXvMPrSngxbmClEch8il+o8pCspk8/nKRRAP8ypo470WU/z3//931m0aBE///nPeeSRR1iwYEFZDLdv385zzz1HW1sbDQ0NZXOBNWvWsHbtWv7+7/++ry5DcoqiaVo5v+mJhqIoKJF6lHAdIhPHbd6ByCWLPU8zB1YesWsdii+AXjsQNVIvh+dOEXps0eeTFn3VEK6L47Snxusj+kw0hw0bxuuvv84XvvAFXnzxRR555JFOZc477zx+/vOfl7OCjBw5kt27dxdNnyWSUxxFUVBCNSjBGCKbLA7btuwBKIqnmUPksyjNO9DqBla16JOcnCiqWnQQ8rQbJRTaLfo6ugx19LeVFn1Asd00DfLmIS7b6oY+bdlRo0axaNEiNm7cyNKlS9m9ezcAAwYMYNasWYwePbqivM/no7GxsS8v4RTjIMN1HXf3qGNyovVeTvRV/12ZgIASjKAGxiO0EO7uzbg4gLtfPAsmdvMO9AMs+iQnN4qidnAZ6mDRBx1chrLFMkbolLfoM3w+vN4MmXQB27Z7vcykI0fkdWTUqFGMGjXqSJxaUuJgS05KRuMlDjAcr0ofLUs5Khzqkhs4vu6vJ9cvQEnl0GwfaiyKq5i42TgIpyie5MC2sFt2ote0i+dRuHTJsadHFn0F85S36FM1DcPwEQzlSSbjBIMhvN6eZwWqhuzDHycI1z0ElwpxkMX3ovhQjif2b4pFoWDRbW+rwwL9I03BLlCwiqKhtS8VUVBwXZe8lUe4xbbw+XxVHH86379AYFkF3PagCF334DnwrbKb+xNCkM/ncV0XBfDYdvHL0QPHJatQwMnmEJksusfTg+Cjg/39OpRr/zsq0Rha7WDUSCNuqgk30wpCtIsn4NjYLTvR9CB6NCLF8xShKJ6+4nrOAy36yuKZL+73hYp2fafYfHgoFMJxHBTFxsylSKdT7eYGvRud6XPRfPnll1myZAm7d+8mn89XLaMoCr/61a/6uuoTGjuVYtdjfyI6eRLBkcN7PldVbfF96Y1TAJEIJJPFHlZtXfW1fqUF+keBgl0gnUpjW1ZRxAWg6+DRy0JJPl/OQpL2+TAMg1AoVP3LXltLzjQxcznc8v7imkZd1wgGQ8UggG7uL5PJkGtPgE27rZmaTuPNpAm4LloXfwurUCgm3C4UcB0HF8DrQfP6CIVCPYvc7c48oWT9F09AIt7uJ6+gYaD6+uGaCYSVRAgXx2r/rnmzOBszaFYSvf9BLPokJw09s+izTkmLPlVVicVi+Hw5ckYO23bRtN5HoveZaCYSCRYuXMgrr7xy0NB4KZqdcQsO6U1bsVrbiC+PEJ08kdCYUSgHi/qquvi+PVWHQjHLSClrR5cL9Y/Ol6dgF0jE44hUGsWy8HmLb735XI62dBpHUQioKuFQUegcx8HKZjEDAWzHJhaLdUoRls1myWWzkE6jUTQ8cF2Hgmli570kbYdINNrlBz2VSmGm05BOoysKHl3HdV0KmTSWpmPrOtFotJOxet7Mk06lQFNRhY5PVRGug5U0cbQsCdsmEo0ePEF0d+YJilIcVo9FO+X5VACNRoRj46ZbEOlmhOvgCBfMLM6WD3GaurHok5yUSIu+6iiKQiAQIBAI4DrO8WFu8M1vfpMlS5YwevRovvjFL3LaaacRDh/ctFvSTnsGDyuexIonKSSTxN9+h+ikMwidPha1DyawjzXpVBqRSuN1XSI1NeWsJWpWJZtMYLbF8fTvTzgYRGsfOrFtm0Qyha0o5Ly+CmMM23GKgplMEvT7MToIlBCCVCZNIZslo2tUi8+2LAszk4FkkkgwWJEpxQ0GSaSS2B4vacMgUpGAGlItzQgzh7++nmAg2CkDi5lKkVLV8rBzr4lGi0O5B+b5bEcBtMb+CMfe7zJkFzq4DK1Ha9nd2aJPclJTdBnyIFQdpWSU4O53GSrbOKpacdj2FLLoU9sTP/SWPnsSP/HEEzQ2NvLGG29QW1vbV6c9ZdBDYQLjJmBu3YKbzZTF085kiK94j8iZEwiPPx3tYD2X45RCoYCdz6NYVoVgApj5PAZghEKorotpmgRDxZ6RruuEAgGSuRw5w8Af8Jd1I5/Pg6Lg9XgqBBPaM6gEQ7QlEth5i4IQHBhHmMvlwDQJGEan1GKqphIJhWlNJslbFq4rynOrZj6HyFvoFOdLKuuFcCiEHY9jW1Z7rtDDHSLtIs9nxxKaB6VuMErNwINY9NUXxTMUO8xrkpwI7Lfo06VFXx/Rp8Ozl1xyiRTMXqJoGjXnnos9aRLpVavIbdqEm0lhxZNAEsc0Sbz7PpEJ44icOZ4TbYFBoVCAQgGfx1P8UraP4DuOjVMooBRsQn4/GcvCtgsV8Tpenw8lk8G1bVzHRWsfKnXaM6IYgeqipLQPt1qFAg50Es1CoQCWhS9Svfel6RoeTaNgWRQKhfJQq12woWBh+IyqxwH4vD5sK18s23WxPqdnFn3NRYu+ASNQI7XyIXmKcEgWfd6AXAPcBX0mmmPGjCGTyfTV6U5Z9HCY2MyZhCdOJLNmNZl16xGO3S6e4L77PokPVhEePJBov/o++wMKKv1Ni78rnf7fW1zXRU3EUQs2wsrvP5/rora1oabTaLaNmjcRjgO2Ax4PIhJp9yovJjDvOF++//+V2VYqrlVRynuEK8AV+4dS28ur7f6d7bFHHc7ffuZq9baL+oHHlKtVFXCL930sUBQVJdYPJdqASLUUXYbymUrxTLWhBCPFnmesQYrnKYKiakUHIddpX+t5gHgKt9jz9Lb728o1wBX0mWjeeuut3HrrrWzYsKGTiYHk0NECASJTzyY44QyyH35IZu1a3IJVFs/87j2kfF5C404nOmEsnl7MH7tOcSg0b5oQj2O7AtsqICg+7E3TRFEUDMPA7/fj9/sxjJ4HDjiOQy6XwzRNspkMqT178ezdS200iq7raLqG1+NFNU3stjb27dpFKp/H9XrZoyootXUEBg3CHwyQswoYBxguq5qKQCGdTqOoKk57wIPaLpoK0BqPE3ddfLkcSjKF2q8Bn2EQixaDikzbpqm5uWyzpbRnE3GFQAiX1ngCva4Owy5gdOgyZvJ5sm1thALF4SyPx4Ph9+Px6Di2Q7wtTkoIfIpa7qUafgOPfnQXm3dr0ZfNQDaDyCRR/MGieNb2l+J5iiAt+npHn4nm5z73OdavX8/cuXP5/ve/zwUXXMDgwYP76vSnLJphEJ48meCECWTXriX94Rpc00RYefKpNPl33ie1aTPBYUOIjT8dbw/zRtq2TSqZwjVNME3c5haSiSRWPE4mm0ETENQ0LMehEAhghcM4dXXk/H5isViVtZOVWJZFMplA5EzsTBozHsdqasJtamKf61ITjWJ4gtiaRlJRaLML5FuaUQAfYORMrESSVCqFEgwQGjgIYZoVa1m9Hi/N2SxuaysRjwe1PSt7Mp/HpZhBpyUex1WgLm/hxOPQ2oJSU8ueSJy0YxMAfKk0UcNACEEylysm1gaU9rqE4cNMp3EdF8MwislscznUlha8mQxejwfL58MyTTSvh1zOJNXaiuvz4dM0hGVher2Yfj+hcBi//yiO17ZTsuhTQzW42QRu805Epq1SPHMZlJ0b0foPR6sfIB+Spwg9t+jzF40STnGLvj67+1IPQAjB5z73uW7LKoqCbfedF+CpgOrxEDrjDIKnn052wwbSy5fjxNuKi/qTKawPVpPZuo3AoIFEx4/D6G49viuKgplKobsuhtdLTteJqCqJZJLWHTv4YNs2PD4Dx3Gpr4kyZdIkvIqCNxoloSjEajov/yhh23ZRMBNJdCFwHZda3UM4GKQQChXXN+bz6KpKIZ1mT1sbmb170R2HkM9HP7+fgNdH2uNhT1sbOSFwEwki9fUkEolyQmmrUIwAVFwXJ5/H8PsxCwX0bJZMKkWTaaLrGv10D3U+H2owiBOJUhCClq1bsT0e2oBhdXUIx8GybfR8HiuZxPH50EMhYv0b8RgGTjJFrmDT1tZK0HEJaxpKfT163kTVNLAsMqkULVYerWDjr4nRUF9HLBrDcWxyORMzmSAtBJqqciz9WdRAFHVoFJFL47bswE21glPYL575HPbuTeiNw9AaBp3yD8lThZ5Z9OVOeYu+Pvs2DBkyRA7rHAUUXSc49nQCsRpyq1aS3rcXO1180FmJNFZiHdkdu/CHQ0QbGzBCYRQBIMruNqZp4pommm0TiUQwczkoFEhkMqzYvYdnX38DFBXN8OHzelm3cxeL31/JR2ZMY+7UqQS9Hqy81eUaxJyZQ2RzeCkG8bi5HJrjUNfQgOm6tApBLp8nbdtYpkk+Hkc3DGKRCEHLQvV4cLNZjGCQqNeDY9v4DQPdsrDzJlbeQrVtbKtAWNXQGurBtsmk0pjpFJrj4I9EIJvFyDsMGzQYv22TNwyyhQJaOExDLEp+yxaCQ4ehh0JYlkW6uRnNNInGYmQKBVy/geEPEIlGKFgFdu7di6lANBiifsAA0uk0Zi6Hnc+DbZPMZjEzGXyxGP0a+7cbMhQjgMPhEEo6Qy6bJevz7hfNHjgOHSkUfwht8Omo+Sxuy07cRFOFeGLlsXdvRm8citZvSGWKKslJi7To654+E80tW7b01akkPUDRtOJ838CBmHv3kt6yhUI6hSjksZpbsXbvJbd5C76Va4gNHUSg/FxWKKRSqIk4fo8XRbjYyRRYFs+9+x5r9uzFo+uMHzyYYUMHM27ECFZv284zy97kleXv4PP6OK8mRj6fryqaAkHezEM+TyAUIpvJQN7EbxgouSx+w6BfIMDetjYswyDnOHhVlWg0Sm0wiGoX8OkeUBXUQIABtbWIlhYc18VxXTQzj2maaGYeLAvDcQgGAhTcog2ebtsYHg+5vEk/2yagqpBJg8/A5/GQB8xsBhWIGn5EoYCqaWgBP16fD79hYPj9qLYNHr38IujxenAdG3ImWrhoUxcOhTB8PkzTpGDb6I6N18xRX1NTvN8D2iYYCJBra6OQt3CEKEZAHyUnpu5QfAG0gWNQ64fgtu7Cje8F4RbFE8AuYO/ZgtZvCHrjUBTPibnsSXJoSIu+6shxlxMRBfDoUFePAvjrGzDGTyC/dy/pdWuxWlsRmRSWcLEyWfz+AIGGfmXDdkdVcV0XPRwGVcVGYcnqNby/fQdej4epI0dw3axzsLxeQtEoY4cOZXi/Bn616EVeXv42gwcNZEJXxueiPYDAcfB4iu46OC6asX9+zOPxEA4EsP0GdqGAx+sh5PWC6xL2BzB83uKbbSgEfj8BwyBVKBS3OQ6uECiahhuJoGsais+HFzC8XkQyQDgQIN/SgpLJouk6TiAIgQDoGpqqIQoFXCEIBQKkHKfYk/X7CQcDxIxisI5VKJDKm+XoV+EKvJksbjyOGgyWzfA97T+u6yJcgc9xCWYyuM3NRTefDkb5iqqgayq2cHF1Ha2+rud/c93DkXZuUrwGWv+RqPWDcVt2IeJ7ii5DJfF0tuDs3YZWP0ha9J1CSIu+SqRonmDkLQu7UACPB81n4PMVP6AKYDQ04JswAWvfPtIrPyC/e3dxPdbI0cRtiNXXAyAUFVdVcP0BNK+XbXv3smTzFvB4mDh8OPPHjUUotEeQFn8G1jcwqKGBzXv3sn3PXs5AqW4wX1qEryi4jltcj9Eu0iWEEMXfFRVV03BRKLguPo+OKzov0bAdGzStGLCgqsU6a2K4joMDUEo+rWm4qoqpaWR8PhK6juPxEAuHiwKsgJtOU7BthOtiptNYwSCR0jlRcBwXj15aKqJU3J+wbbR0GtrawNrvqyxcQd7Kk4/HyTc1YWtaUd48etH+rsPyFMcp3rcSq4FDMozu+iHkui75fB7HcVBVFa/Xe1gpkBTdi9Y4HFE/CLd1D6J1F8K1y+LppKVF36mItOgr0utv1pIlSwCYPn06hmGUf+8pc+bM6W3VpyR5yyKdTuPm243OAXSdtNdLIBAk0L7AX1EUfP0b8fVvxGpuxk4k8A4Zgd20i/i6TQB4BzaS8xnk8nmEqvDehg0kTZNYIMDMCeOJeD1Yto0aLA4/WoUCqqowdPAgNu3Zy5a9+8pifSAKCh7dQ8HnJWeaeD0eTI8HM58vz+NZloWrl0vsxgAASyZJREFUFgUz4DdI+nyYrkvMMCiYZtG4vb1szjTJ2zaKYaAqCni9eH1eVEXFNHyYyRSBYJB2zSNu5VGyOVTbJm1ZmNkssfp6NI+OhkJrPE7BZ+DmcjTt24s+dBjRfB6fxwNeL7l8vjjkms+D34+n3XS9lIUGw8ANhcq9x2w2h2nlEYpK2hWkvV5sIdA9OiHbrjBUyOfzCF1H83j6JK+fEKI4r2qaRZN71wVVIeP14fX5CIfDB41y7g5F86A1DEHUDuhg0WdJi75TnE4WfQe4DJ3sFn29/ubOmzcPRVFYs2YNp512Wvn3nuI4Tm+rPuXIWxbJeBxSKVTH2W90nsniZLJkbBuBINjBlxXAW1+Pt713qTcMBMBu2oW1YzfpeBzqY2xct4EPN28FTWPG+HHURMIkkkkUXaemfe1jJpfDNXzs2teEUCBWW4PH4+kylVkgECBhmmSTSQyvB+HzUcjnyeZMNMsig4BgCE3XUDUdamI46Qxp0ySs6aSzGQKOQ9402ZNOY0ei6O3m5YrPV3TiUUDz+nA8JslkEp/PS94q4Jh5SCZQBPj9fpxMhrbdu7FME9Oy8Os6ujBpzWQQgSCFXA4jn8fxejEdB6/rsrupCd3nQ/N6MXy+4vKcdBpPJILiOBSES87M47gu+WwWsllc28bnutjBIGQy5NrioEAoVoOHdoP3bBbCYfz+wx/WFAgSiQSFdBoyGby6jq7rOJZNPpPFCgSIOw41NTWH/cBSNB2lbhBKzQBEYh9uy87qFn3RevQBw1HDNYd9f5Ljn0O36PMXI3RPcHotmjfccAOKohCNRit+l/QtQkA6nYZUCp+iEo5Fyu0cDEA2lyOTTJFVNQzD6DKNVYmSeIYi9SS2rOOtN9+mqbWNgGEwctRIkq5LRtfQVBU3kaAtnQbDoDWTwdU08HrxeLxo3Zgee71e/KEQOQRmJotl2+SBZCKOGo8jGvujFQr4PTqecJhawyhmM2lrI9HWhu7YaPEEZiiINWAgaBqD6+tRohEikf33H46ESbgOVibLvt17ULNZVMeBYAgcm5jHQz4aJdfayo61a8FvUBOJEolGMRoasL1eBkSjFPJ58nv2UPD7SQmBpoDiOsRcl3gyie26YBgYsRi6qmD5AyRTKdLxNrScScCj4/H6iPTrhyEEmqKQbW0lmU6T9hkEvV4cVYVQCG8ggNEH6zTNnEkhm0XNZolGIxU9V8d2SKRSOIpCxuvt5I/bWxRVRanpjxLrh0g2F9d6WtlKl6FEyaJvOGqkTj4TThFOJYu+XovmAw880O3vkr7BKli4eQvVcSoEs0TA76dQsLDyecxcjmCwZ/NLfr9Btv8QNqRzWJbF9LFj6Td6NKZt40MgbBvbtnFRistG2uKkCgV8Xh8jhg4p29p19VAMhUKomorp9YHXS0FV8TQ2IgwDr6pheDwoKHhdl9pQiLSiEC8U0DSNfDqNafixa2owBg6kvn9/DL+fYChY4ajj0T3EYjXEUXCCQUTepGbAAGyKGVAiuo5lmjSFwwhdR1gW2sABqLV1hEIhRsRiFGybvJXHiidA1/FEInh9Prx6MXLWBmg3hA/mckVD+WCQJstCeLxoioonGEDRPfh8PmJ+g7yZR/N6SG7Nk1cUdMPAGwwWXZUC/sO2JISicQO5HMFAoNNQr6ZrhINB4pkMpmEQDAX7pM4SiqKiRPuhRBoQqdaiv62ZlhZ9kg4WfV25DJ34Fn0yEOg4xy4UoLA/92Q1fD4fVj5fNCA/BFra2kimU0TqG5l8zkfwZUyCmo7jCsKjRuIKFwUFx3HYtGcviVQaXdeYcuYZPTp/wB8g4A/w1IoVbN22g7CmMnLAAM4cNRK/YeDxeMo+sOGGesIMI5czsQsFhBB4AgHU2tqi5V4X+e90XScYDOIEg2iaRiQUQtM0NF3Dtm0c2yFUE6MmFCKbThHuP4D+jY14PMWPvh9wnSCGzyBhmhi1tdTX1+M4DrZtoygKuq6jqko5+KeUFNtrmgS9Xny+YuBNSZgMw8AwfJBIYoaCBCIRIrFonwmXEKJoDlIo4ItEqpbxeD1omaKpvW3bR8S+r2jRV4cSri1a9LXsQGS7sOjrP7xo0XcC9zAkPafsMtTRKAFOCou+PhPNkSNH8vGPf5z//M//7LbcP/zDP/C73/2OjRs39lXVJzVFc/Cue3RAr9/i12xcD8DQgQOpranF3z7/qTTtIrd1BwCx00bR3NrKBx9+CMBZE88k1v6g7km9qXSatrYEO/bsIZ3O8NbadTy9fDkzzprCeefOJnzA0GHlbF/X5xcUTdNLPV5VU/H5ikFCJfTSPJ/jYBg+FMchGAyWBbOEqqn4vF58rlvO46lp2gFC3dlkQNc0fD4fni6Cejy6juvx4vUeZk7NAyh9JqC6WXyJ4r4jZ46wv579Fn0im8Rt3oFbzaJv1ya0/sPQ6geeUA9JSe/pZNFXchk6gS36+tTcoKmp6aDlmpubpRHCIaBpOug6+WyOYKB6GctqX4JyCB8413UrsnvURPenae4YNNS8Zh1vr1nDxs1bATjrzDMPKSIzHApxyfnzmTf7HOKJJG+8vYL3V6/hhSVLee2tt7nkvPmcM/WsLt2FDiSfz5PL5Si0pw9TlOKyEBeFQsGumnVE0zQKAgrtFnbVsAoF0HX0Hrahpqq4uo5tF6qKphBFO0G66SX3FkVVikt1dI2CVVzneiCO7WC7AjQd7SgKlBKIoA0dj2qmi+JZzaJv1yb0/sPQGgafEA9JyeFTadHXhcvQCWLRd9Q/sZlMBo/n+G2Q4w2fz0fG58PJ5siZRWedjhQKBfIFCwJRDKNnASZCFBMq2+0RzKFgAG+VaFi9YSA7dmznnQ8/JJ9IMGHUKEYOG3rI91BXU0NdTQ1DBg7kzHGn09TSwnMvLWbZind47uXFBAMBpk2edNDzpFIpzEwaciZYxTdWoWuI9qHVcHtWlcAB+TVVTcN0HByfr2q/q1CwMS0LIpEet6HP56Pg82GmUni9vk5inMvlEJqK6vWWl630FQoKPp+PnGGQzmaJ6ZGKpN5CQDqTAZ8Pn893WMtOen2NRjcWfWSgYGHv3iIt+k4xKlyGTlCLvqMmmq7rsnbtWl566SWGDj30B++piqoq+AMBsrZNOpnCKlgYXi8oCpZVFEwRDOJtT0vVE0rCOGTAABRFYW9zM8lUikg4jG3b5cjYVDrNm+++y5aWOKoRZM6UKRR27CZOcdj2UCnlpGyoq+PT11xFv/o6nvzrIh750xMMGtCfgY2NXR6byWQw02mUVIpAeySrqqkUrAKZXI6AbZNSQDNNCoUCRvs6UqtQwMznMerrsFxBwXVJJlPlOWKrUMC0LEQg0N6GPXt4e30+PIZBwXFIJJPlYVohikYHBcdF9QcI+P3dDqH2lkAgQD6fx7Zt2hKJojevpmG7DqZpYisqSjBAINDF8MRRoscWfQ2D0RuHoXilRd+pwIls0XdYonngsNODDz7Igw8+2O0xQgg+//nPH061pxzBQACEIKuqWPlipCwAug7RKF6/n0i4ekBIdwwbPJiA38++5mbWbtrItEmTy5GYQgj++spilr//HgDnTJ3KmMnTEELgNO8mvq44J30w8RRCFHNq5oumBeW5QgUGD+iP3/CRTKVZvXZdl6IpKJ6DTJpwIIDP2P9g9Xg9RD0eRCKBQGB6vCiaur+NNA2iEbyKimrbxLNZlGwWTzaD4TNQvd5iGxoGkWgP27C9Rx4OhUgJQUHTMPNFT1wAvF4IePBbVsW19iVqu19vUlFw8nnSZnvvW1HAH0A1DCKRSJ+YKPQFFRZ9rbsQbQda9G3F2bcdrX4gev/h0qLvFKHSos8G2zzuLfoO6xvVMbPJtm3bCAQC1LcHkxyI1+tl4MCBfOxjH+MrX/nK4VR7ShIMBou5HHM5CoXiAmJN0/AfQg/zQBpq67hk/nk8/uwz/PbJP7Nq3TqmTpxIIpnkw40b+HDDBqA4j3nBufsdnDrOeXYnnvl8nlQqSTaewK8UfeTS+Tw5x0FTFPxCENI0Wk2THTt2EI/HiUQinYYTrbyFsCx0qCpCigJ+w8DO51Hal3YUCgUEAgUFy7JQXQdvwUJzXSygoKikFIj4/dTU1BzalEG7yboCRICCcDFdt+iWp4DuuvgAtYdDvb1F13VqamvIm3ny+Xw52tlnFA0gjvXDpRqK7kXrNxxRNxi3dTeibTeiPGwLTnotTtNOtNr+xbWe/r5ZY3og3S2Xkhx9iuLpQWj6cW/Rd1ii2TGgR1VVPv7xj3Pfffcd7jVJukDTtD5bqF5i6hln4jgOf12ymJVrP2Tl2g/L+3w+H2dPnMT5s88tR7keOOcJ1cWzYBdIJpM4bW385L4HaKit5aJzZlAbDKK1NONoOhta29izbx+6AoNDIQrpNEkgdoAZvOu64LrdBul4dB1yORRFKa9VFQjibXGUfB41lysucwmHcV0XM5/HEi6UfHAPSvFLTRWT9ZJpe1WOsNG6gtK+xOXoJ7Y+HBRNL1r01Q1EtO2pYtG3Aa11D2qsX9FlKHjoIykdEeVoY6X8b6FQkPEVxxkngkVfn43dvPTSS/Tv37+vTic5Sui6zqypZzN90mTefO9dNm7dgtEeyTr77Gn0b+iHqqqd3sxd1y1HrlYTT/rVQSZNJpVGKLBtzx5++sjvGBSLMrKxH1v37qMlm0UIwfiRIxnS2I9MUxNqoYDP8OE39g/PKYoCilIOXKqG4zigVBqs5808tmmi5nLURKOo2v4erM/wkclkyabTZDyenkXvxmIc+hIO2ZvpDkXVDm7R17YXNVpXNEropUVf6XOxafMWlr6xDMsqkMtlGTxoEHNmz6K2Vlr/HU9UWPSVep7HiUWfIkqvYEeQRCLB+vXrGTx4sBTWKkyYMAHHzPPqY3861pfSCdd1K4ZLN23bRmNDPUF/1wEmjuPQumENpFIMmzgBR7i8/OZynn75ZbLJND6vB6f9vEY4xA2XXsKASLhofq4qeBr60dCvH6FwCAUF13VpaWmBtjZi4XDV4ehEIonl8+KP1ZR74/F4nEJbGyFdx1/Fuk4IaG1rw41EiNXVyV7HcYAQot2ib0fZoq+EFgiihmNoA0YcskVfc3MLy5a/zVPPPFd1//nz53Lh/I8SDkvT+eMVcaBFXwndW8wcdAgWfWeeeSYAq1atOuTr6LOe5l//+lceffRRbr31VqZMmVLe/pOf/IRvfOMbWJaFoijceuut/OhHP+qraiVHgI69yo69zD1NTTy3+CU2bt3KvHNmcen886o+uGzHgXAdumYQ37QNVVWZNWkioxvqeOKFlzEti5njx4HjUF9XS6PHg89x8Xg8OJk0orUV0zBwXZdItDjHaRgGZiBAKp0mHAyW1yYKV5DOZopDrT6jwgzdcRywbbxdGKQrCsUsLLaN7dhSNI8DFEVBiTagROoR6daieHay6IsXLfr6D0et6dcj8fzjn59idbtBx+RJZzJm1EiGDx3KO++/zwsvLWbRi4vx6B4+dunFR/oWJb2k5xZ9R9ZlqM9E85e//CXPPPMM9957b3nbBx98wFe/+lU0TWPmzJmsWbOGe++9l3nz5rFw4cK+qlrSxxz4ECr9vm7TRrbv3l3eVu1hVXSrKf7fdQXeuv4IIYhv3grpNBNq6nhy9Uo27NzJOcOHEdA1aiMRNE3DKhRwFBChMGQyWJpK3ucr29bZto0NxLMZtEzxGmzHKUarRqKEw+HORgLteUG7+vr0bD5TcrRRFAUlXIcSqkVkEu0WfYnOFn3BKN5x07oVzkUvvcw7772PYfg4+6wp/M1nPlkePRk5Yjhnjh/P//zqfp5b9AKjRo5gwrjTj9ZtSnpBzyz6suBrdxnqY/Hss0HgFStWMHny5IpAlZKJ+wMPPMDSpUt5++238Xq9/Pd//3dfVSs5iowaNpzaduegc86aWrEvm8uRSCVRFKXoKev14FI0X1AUBX/DQKjpx5jGRgb6gyxetpy9ra3EQvuFLp/Pg+7BbxgEDANyZnkZh6IoxGIx/LEYSqwGJxwqpuGqqcFTU0OspqZTMIzX6wWPt3jeKriOi2XbxRydnuNvEbWk+HdXQzH0YWegDzsTNdpQnOeCYq/TcbsVzM1btvLCS4sBOGvyJC5dcAFqe1J0tz1H6vBhQxk6eDCuK9i8peh8dRRmrSSHiaKqKF4/ij+M4vHttwKzraKYZuKI5D5ENr5/PrQP6LOe5t69e5k2bVrFthdeeIFYLMYnPvEJAEaMGMHcuXNZvXp1X1UrOYoM6t+fv/vCLbTG49QeEOG6cdtWnn35Ja5acDGjhg3H6/WR8/lIZTJEwyE8ugfN46UQqWVHIoVjF2hrasNuiUMsRs40sRwH2pfWKIpCJh4v2uW1oygKoVCIYCiI3b7sRlXVLm3qDMPANAxyiQS6qRdN1NsRriDZnvbM4/X20OruUB6kMgCor1ECEbRAu0Vfy07cVBtqrBFrd9En2TtgcEV5y7J4463lxBNJamJR5syeRf/2tcClnqbruni9XkaOGM7a9RvYuGlzsS65HOWE4Whb9PWZaGqatn9xN9Da2srKlSu57LLLKgJJGhoaeuRRKzl+OVAwARLJJHubmvjrksVcep6HQf0HULAL2Kk0LfE4Hl1HAd7csrmYm9PjJyGKVn7bV6/FVRRCY0cTCAbRdA3X6XrYVEHp0fyjx+PBCAYwhUsqlSZn5vDonnbXHgvh86EEgz0L/ojHwT6ELDK6pz3a9tgjEAhXdDmkfqKhGCG0QWNRncL+B6CV6SSemzZv4f0PVgIw59zZDBs6pNO5Ss+mne3TDrFYFMdxUFX1pGirU4lDsuirZlLdQ/pMNIcPH85rr71WXvv0xz/+ESEEF1xwQUW5lpYW6uo6r3WTnNicPmo00ydP4c133+He+37FzLPO4txpM/DHolh+Aztv0dLWyhvr1+H6/QQNg379+2MGa1B0HbWQwW6Ok0/l8I8aSnzLVvKWRaCh4bCuKxwKo6kaWd2Dnc8XE0orQCCA7vMW9x+0lymKgtnc0vOK6+uKxx3DHqdt2+TMHHkzX3RZURR0j47f8J9w6zqrUdFj8O7PI2vt3oHjOKz+cC3xRJJIOMyMs6dWOUORlpZWHLs4cmHbUjBPdHpk0ec65WH+Q6XPRPO6667jn/7pn5gzZw6zZs3i/vvvx+PxcMUVV5TLCCF4++23GTt2bF9VKzlOqK+t5bLzzqe+tpaXX3+NN1as4I0VKxgzciT96xvYtXcvbYk4mUKBQQMHMnbESEaMPR1HCGKRKD5f/2JgT9s+WtZvZs/LS1ANH/b2nXinTSU4amSvczEGAgH8fj/5fB7HcYrzrl5P73JM1tZ2/4YqRNkx6FhiWRbJZAKRzUE+j9I+f2d7vaQCJlYgSDgS7tOUZccN3iDZdJr3li3DzaY55/z51NTEuize2tZGS2sbAEOHDDpognXJiUG3Fn2HQZ+J5le+8hWeeOIJli1bxrJly1BVlbvuuotBgwaVy7z44os0NTXxxS9+sa+qlRxHBPx+5s+azfTJU1j8xuu8+e47rN+0iQ2bN5cDK3RNY+7Mc5h4+niEbSOSCbKmWYxwVRUK3gCprVtxrELRuWfHbprSS2hb/g7RSWcSHjsGpRepthRF6ZvelaIcpPN47B+0rusWBTORxAsEwyF0XUe4AjOfJ5NMkRdFY4tjbeh+pNi5Zw97WuL4/CHG1EW7nPe0bZvtO3eyZ+8+VFVh6uTJx+BqJUeSahZ9h5NFoc9EMxgM8tprr7FkyRKampqYPHkyY8aMqSijaRo/+tGPuPzyy/uqWslxSCgQ4NL55zF/1rm8u2ol+5qbEcJFUVQmnn46Q4cMQVNV8pZFSi0ajmfyVnEIRdNQ+vfHmx2L0twMZhYrnsSKJ7FTKeIr3iE68QzC405Hlesqq5LL5RCmiQeIdjChV1QFv99AVRSSmTQ5rxd/wH9S9jZXrV0HwJBBAwjX9CsO31aZ94zHE7z73gcATJ0yhVisGB3e215mqYd6oCmI5NhTsujjeAkEguKk+rx587rcP2/evG73S04eCgWbbCbN6P79GR2LgStAVUDTaG1uIRKNFNNp1daRz+exrHx7nk8NwzDwjh1LIREns3IVuS1bcLNprHgS4kmcbI74O+8TOWM8kTPGo/UwgfV+Tu7lBPl8Hsw8gS5MHXyGDy2Xw7EsClahuDTnJKKjYAkhqG0XwvK8Z7t42rbNh9v3sH7jJgDOPmtyr4WuVKeiKLS0tPLkM8+i6zoLzj+P+ip+xZITlyOWN2j9+vU0NzdTV1fHaaed1ufnf/vtt3n++ed58803efPNN9m5cydw8PVVDzzwAP/93//N6tWr8Xq9zJw5k29/+9vMmjWry2OWLl3KD37wA9544w0sy2L8+PF8+ctf5oYbbujTezpZcNqHB91EEs1xyrkeXdchl89TME2SCKKxGrxeD36/UdXmzhONEZs9m9CkiWRWrya7YSPCdYriCbj5d0i+9wHhCeOInnkGWqAH6aQONQoWiinYTiDKBvfdXLeuaTiOg+N27ed7IlJOsG4X7yscDOH1eivnKNvFc/u2tbz24gu42TRTZs5k1Ijhva63tPbzry+8xOvL3mRfUzMAS19fxqULLuSyiy86rPuSHD/06dMgn8/zr//6r/zv//4vbW3FifUbb7yxnPnk4Ycf5oc//CH33Xcfkw9z7uB73/seTzzxxCEd89WvfpV77rkHv9/PhRdeiGmaPP/88/z1r3/lD3/4Q0XQUonHHnuM6667Dtd1mTNnDvX19bzwwgvceOONvP/++9x9992HdR8nI7lsFjebQ3cdYtFoh6EuDz6fQTKVIp/JkvP58HqjBz2fHgoTnT6D0JlnkvhgJem1HyIKNnZzK6qm4b73AcmVqwmPPY3IpDPQQ6FiIub2iEjdo7enyuLQo2ABjnG0t23bxdRf7ZG/Pq+v296hoigIVSkundCq95wc1wFVRT1KJtdHi9JnbeiggUXrx337SCRTRCOVCdaTqRSvv7+ajduLS03mThiLJ9kGwWB3p6+g1LsUQrBh4yae/MuzrN+4iZpYlIED+tPa1oZp5unXUEyXKIOLTg76TDRzuRzz58/nzTffpLGxkUsuuYSnn366osz8+fO58cYb+d3vfnfYonnOOecwceJEpk2bxrRp0xg+fHiXzi8AixYt4p577qGuro7XX3+9PN/6+uuvM2/ePP7mb/6GefPmVaSlam1t5eabb8ZxHB577DGuuuoqoGjkcO655/Jf//VfXHbZZXLI+QCKw4MmwWCg6kMiGAyQj8ex2qNZe2Is4DgOSdPCGToUo7YWa9NmCtu34rguTlMLukcn/9oy2j5YhTZ4IP7RI9BKw5MeDxmfj2AgQLkverAoWDjmkbBCCJLJZDGhdj5fjABUVEyfD93nIxwOV+1N+nw+cj6DbC5H1Nt5/qZgFbAFKF7vSTc0W2LE0KEEAn72NjWzZv16Zk49qyLB+l9efIllK94BYPY5sxg1Zhwin+4yYKgaqqqSTCb545+fYvmKd3Acl4svPJ+62lqWvbWcXbv3MHL4MKa3L3eRgnly0GevmXfeeSfLli3j5ptvZtOmTTz55JOdygwcOJDx48ezaNGiw67vm9/8Jt/97ne5/PLLe5Q55Yc//CEA3/72tysClM455xy++MUvEo/H+dWvflVxzC9/+UuSySQLFy4sCyZAY2Mjd955JwD/9V//ddj3cjLhuqJoTODYXVrTaaqGpmpgOzjdmBiUcFyXeCKBnUygJBIEdJ26ceOomzMP39BhCH+QgqpjOzbZ5mZSb60g/vRzWG++jTeZQs/lEPE20skEuVy7AUcpCrbbn2P3kBMI4ok4ViqJEo9j2HYxW4sQqMkkdiJOIpEomtIfgN/vB8PAEoJUOl02ihCimC4tmU5DIFB2XjoZ6Vdfx8cuuhBN1/j1Y4/zi4d/w3urVrP4tdf5n/97iKXL3sJ1BdMmT+Lij360eJA3WB66tXbvKAtoR0rTP5ZlsfT1Zdx9z09Z9tbbDB44kNtv/f/42KUX0xaPs2PXLgDmnFuc9pEexycPfdbT/O1vf8vQoUP5+c9/3u1cytixY1m6dGlfVdsjcrkcL774IgDXXHNNp/3XXHMN9957L08++SRf//rXy9tLPeVqx1x66aUYhsGiRYswTfOkWCze17jC7XL4T7Q7cvTkoZ3NZHEzWTSrQKympnxOv2EQnDyZtqHDMJubyW3agJZOo2sCxcyTXrcBa88e/AMGYIweSUFAznUxhOh9vKg4iGFBH3mWmqaJnc2hZnPEIhE0fX9vPOgGSKRSFDIZMh4PkUhlgmZN0wiHw6SEwMxmMONxdE0tvtCoKoRCeAIBgqGeD0WeiEyfPAnXcXj6hRd5f/Ua3l+9przP5/Mx46wpXDRvDpF2R6gD5zyrRds6jsPOXbv57R/+yOat21AUuObKjzH5zDOpq6tl67btrF7zIbmcyZDBA5kx7WwAGUl7EtFnorl582YuvfTSbgUTiibapfnOo8XatWvJ5/M0NDQweHDnYZezzjoLgPfff79i+3vvvVexvyNer5czzjiD5cuXs27dOiZOnHgErvzEQ1UVdI8H2+vF7CKC0ypYuIqC4tEP+nkRAvJ5E3I5wqFQJxHWVI1wOETWtnEmn0U0GYedu7BTKYSVw0qmsZLrye3ejQiH8A8dilkbowchQ9U5SsO1Zq54z4GAv0Iwobh0JBwM0ppMluc6D3woG4aBpmlkfT6sfB7bdQAF1ePB7/eftEtNOqLrOufOmM7MqWfxxtsrWLdpE/72l9uPzJzBwMbG7hOst4tnadg2nkzyyocbWPLqa1hWgUkTz+DiC86vsOdbuXoNe/cVbUI/Mmt/L1OK5slDn4mm3+/vkRhu3ryZmpqjmyV927ZtAFUFE4prTGOxGG1tbaRSKcLhMMlkkkQi0e1xgwcPZvny5WzdurVHojlhwoSq2zdu3MjwQQefQzlR8PsNUmaAbCqJpqn4vPuXhNi2TSqdgYC/fXiw+3PZto2wbVREl36zXq8PO2+CgODQYQTGjsPcvYv0unUU4vGyeDptCazdezEjYfrNmkmg3f3loCgUI2gPZemA7qG3RgcCge3YUChgdOGLq+kauqoU06XZdtW5SY/HQzQaxXVdHNdBQUHTtZNeLA+kJJ7nzphesb00ZFr6DGzcsoX+/foR7GD44Louqi/EvuYW/uf/fkvTvj3UxmLccNNnGDf2NAKBQFkUd+/Zw9p168nmcvRv7Mc5M6ZVnF9yctBnojl58mSWL19OU1MTDV34hW7evJl33nmHCy+8sK+q7RHpdBqgW/eTYDBIPB4vi2bpmO6OC7ZH2qVSqT682hMfwzDIB/xYwiWZzqDncuiajuM6FBwH/AG0QJBA4FCGB7t+8JSNyNuHRhVFwT9wEMaAgeT37SO9bi1WSwvk0hTSWZx0hn2vvIYnGiE24XSCw4Ye3KLvkM3Xj8aDsmd1qKoqezrtdJVgffe+fTy16AU2bNrCeXPOZeFFF1YY3D/30ss0NbdQ39DIFQsu4sz+9ZBoRfj95TLvr1zNrt17ADh31kx0XZe9zJOQPhPNv/3bv+Xll1/m+uuv59FHH6W+vr5ifzwe5+abb6ZQKPD5z3++r6o9oVi1alXV7RMmTMAxu478PRGJRKJkNA3T6203Sheg6OD14TV8hENhVPXgD31N01A0vZybs1pvM2/l0bw+lPYyJRRFwWhsxGhsxGppYd/77+Ls3oNSyBeHbVNpCskkbe+vJjp+LKGRw1G7jeQ9Oj0GBQVN1XA8HvKWVZHSrIRjO8UE3PrBh7gl++kqwfqH6zewbUcxeEdhv1gqilIRbNXc0sovf/0IM6eexbzZ5zCI4vrwfS0tfLh2HZlslrraGmbPnFG1PsmJT599266//nqefPJJHn30UUaOHFk2C1i6dCkLFy5k8eLFJJNJbrjhBi677LK+qrZHlBJjZ7PZLstkMhmAcpqojsm0s9lsp2CLasdI9qMoxTYMBIJYVh7HLQYFeX1etEN481ZVBa/PR94wSGczRCORinlNx3XIZHP4ohGE61KwCph5E8NXGZjlBIP4Jk/BOyyOtmUzViqJmy/NeaaxM2niH6wievpYwmNGoXqOrRD5/X7SuRzZbBavx1Ox3lIISGcyYBj4fD7Zk+kDRo8YTl1NjN1793HujMq8wJqm8ZmPX80Fc+fw/OIlvPnOu7zx9greeHsFU86cwIL5H2XTpi1s37AeN5tm1iULMAxD9jJPUhTRhynKhRDcfffd3HXXXTQ3N1fsi0ajfOMb3+Bb3/rWEXn7MgyDfD5f1RHo3XffZcqUKTQ0NLBv375O+zOZDKFQiJqaGlo7BHrEYjESiQSrVq1i/PjxnY6bNm0ay5cv57333jusQKBST/PVx/7U63OczDiOQzwex02mUAsWhs+HpmnFRf+WhevzoYbDeD1ezHQaUkm8moa3fS41b+UpOC6EwwQLFoFsloLHQ2bDBnI7tuOa+1+mvJEQqtdHZOxoImNGo6XTxbnM+nqOphm7QBBvi2On0yjZLIbPVx7uM/N5HE1DiYSJxWpkT7MPaWlro+6AmItyYFD7c6stkeCvLy/h1WVvlsuEQkHS6QzRoMEdX/syuq6jNw6Uonmccua0WaBqXY7+dUefimYJx3FYsWIFW7ZswXVdBg8ezLRp047oQuruRDOXy1FTU0M+n2fHjh0VmVcAXnnlFebMmcPcuXN5+eWXy9vnzp3LkiVLeOihh/j0pz9dcUyhUCj3Ptva2g5ryYkUzYNj2zaJZBI3b0HeBLdo7o7Ph+b1EY1G0DSNTCZDNpMFKw9W+1Ct1wNeH4FggGA2By3NRXMDFOxslsyG9WS3bkW4LiKfKx4SCaHqOuH+jUSmn4U+ZAhHO4OJ67okkglss2RuUHTxwedD9XqJRCO9S28m6RWlwKGSEKbSaRa//gbPL16C257kuyYW5cZrr2HkgP3TUz0xSpAcXQ5HNI/Ia5CmaUybNo2Pf/zjXHfddcyePbssmPv27eNb3/rWkai2S/x+P/Pnzwfg97//faf9f/jDHwA6ZV+59NJLK/Z35KmnnsI0Tc4//3y5RvMooOs6tTW1RGpr8NXW4a2rw1dTS6S2ltramrKrUDAYpLa+jkBtLd76Orzt/6+tryPYMfCotRVaW9DNHNHBg+l39tmE+jeiaToKClZLK+befSQ2bmLHE3+h+dXXKBzlgC9VVamJ1RCrq8Ooq8VbV4dRV1e857paKZhHmVJAlRAC27YJh0JcdsH5nD5mdLlMa1ucH/2/X/KnF18lL4ojANWMEo5AX0VylDgiPc1qbN++nTvvvJP77rsP0zSrOpkcDt31NKFoo3fBBRdUtdH76Ec/it/vZ/PmzZ1s9EaMGEEymayw0du3bx+zZ89mw4YNvPTSS4dtoyd7mkeReBwKdpe7Xcsis2kTmU0bcS0LYeVAUcHjwVcTJTh6FNEpE/EecjSt5GSiFHX72vK3efbFl2iLJ5hzzkwG9Gtg0SuvMnva2Zw/5yP7p6KsTPlYPRyisHkV+oARqLX9e51cXdJ7DqeneViTIa7r8uijj/Lcc8+xb98++vXrx8UXX8y1115bHsLYvn07//qv/8pDDz1UNtC+8sorD6daoOjW873vfa/8u2VZAMycObO87Tvf+U65t3j++edz2223cc899zB58mQuuOACLMvi+eefRwjB/fffXyGYALW1tdx3331ce+21XHPNNcybN4+6ujoWLVpEPB7n9ttvl76zJxqxWLeZwVQgPHAgwRkzyK5fR2bNGhwzh8hlybclyL+1gvT6jQRHDCM6ZSK+A6LEJacGiqKQzmRYueZDkuk0fr/B/HNnUVdTw+zp08iZZmXsRgeXofyH7+BmEggzi7JzI1r/YWgNg1DUQ0+uLjn69Fo0bdvmkksu4YUXXqjo3T388MP8/ve/57HHHuPBBx/ky1/+MtlsFiEEV1xxBXfccUefuOc0NTWxbNmyTts7bmtqaqrY9+Mf/5jJkyfz05/+lOeffx6v18v555/Pd77znS5Tg1199dUsWbKE73//+51Sg914442HfR+SY0APpiZVr4fQhAkETx9LduMm0qtW4WTSiFwWK57Aeud9Mpu34B88iNiUSRgDDu5/LDm5SKRSNLW04NgOEydOpK6mBtu20XW9y1ymQtHLgWdONgPZDMIysXdvRm8citZvCIomA7uOZ3o9PHvPPffwta99DcMwuOmmm5gwYQKpVIpnnnmGV199lb/927/lF7/4BUIILrzwQv7jP/7jsDObnKzI4dnjH+G65LZsIb1qJXYigch1iLiNRTD6NxKdMgn/4B66DElOCmzbZskbyxh32hgG9OvXo2UmwsrhNu/ETTaBbZW3a4EgaDpa4xD0fkNRukh4IDl8jkn07DnnnMPy5ct57bXXmDatcl3TLbfcwv/7f/8PRVG48847K0zQJZ2RonniIITA3L6d9MqVFFpbOomnr76O6ORJBEYMk+Ip6RZRyOO27sJt2wOimBkI2sVT1dD6DUZvHIrilYGGfc0xEc1YLMakSZNYvHhxp32bNm1i9OjRjBs3rlcXdaohRfPEQwiBtXs36VUrye/d20k8PbEYsckTCY4eKQM9JN0i7AJu6y5E226E65TFE0ALhdHqBqD1H45qdG0DKjk0jkkgUCqVYvjw4VX3jRgxAoBJkyb19vSSE51DfRU7wTpliqLgGzgQ38CBWE37SH+wEnPXzvY5zyRWPEkhHqdt+Qqik84kNHYMqjQhkFRB0T1o/YYh6gbhtu1BtO5COAVwbJx0CiedQmvehVrbWIy49YcOflLJEaPX32IhRHlt3IGUhqXk+sVTlIMs66iKR++FKXoRx3FwXYGqqYdk0ddXeBv6UTt/PoXWVtIrP8Dcvh03mymLp51OE1/xLtGJZxAeNxb1CJp8SE5cFE1Hqx+MqB2AiO/FbdmFsPNF8cykcTJp3JY9qLEG9IEjUIPRY33JpyTy1VfStwiKgtnSfNCiFdTVF489hB5nLmeSy+Vw7AI4LmgqHq8XfyCA7xgIk6e2lpo5c7ETCdKrV5HbtBk3m8aKJyGexMnliL/zHpEzxhM5YzyafKmUVEFRNZTagSix/ohkE27LzuJ6YcfGyWZwshnceBNqpA594AiUUEzOnx9Fej2nqapqr/9QiqKU12xKTrI5TQE0N1dY1R30gNbWomjW1/dYNJPJFPlMMWRfsW0URcUVLni8EAwQCIcr8iIeC+x0mszq1WQ3bkA4Tnne0xuLFC36xo8jMnEC+jG+TsnxjRACkWwuimc+UznnGQiihKLFYdtovRTPHnLMzA16ayYkLaROFRQOmmW6Fx+FXM4sCmYyQdAfwB+OoCgKrnDJ5XJkE0mygEf34PUeO6s5PRQiOn06oTPPJLNmDdl163DtQrHnCbjvf0By5SpCY8cQnTQRT0Rmy5F0RlEUlGgDSqQekW7DbdmByKXKPU+yGUQ6gRIIow8YjlrTKMXzCNJr0SyZF0skR5tsLgvZDKFAEH+HIU5VUQkGggghyOVy5IwsXu+xn/fR/H4iZ51F6IwJZD5cS+bDD3GtfFk886+/RfrDdUWLvskT8dbEju0FS45LFEVBCdeihGoQ2QRu805ENl4pntkUirERrf9wtLoBMnL7CCDnNCUnFLZt4xYKKLaNEe6c4xTAbxjkEgksq4AQB+/sHi1Ur4/wxIkEx40ju2E9mdVrcHLZzhZ9w4cSnTIJX4O06JN0RlEUlGAMNRhDZFO4LTtw062V4mlmcXZtKlr01Q9C6Ta5uuRQkKIpOaFwXQGOi6pqXQ5BaZpezNQsXFzhoinH19u26vEQGjee4GljyW7aRGbVSux0B4u+dz8gs2Ur/sGDqJ97LnowePCTSk5JlEAYLTAO1czgtuzETTaDU+hs0TdoNHrDoIOfUHJQjlqWE0nXhMNhrHyeEUOGHutL6RscG2ynmO+yB3FAOA7oGvTAc1MIUcyQ4zroavXzCwGOW6xfPyF8PAVuoYBr5ouL293iV1JRFby1NQc5ViLpgBDtazwdOgYMKD4DRZOp5Eps3LQZj9dLqhfp/k6EJ8pJT7C9J6EZvmN8JX1F1/exceNGAEaNGtXrs/fkQ3uifbA1w4Bw94FAfdF2pzKnSvsp3Xz/esvJ1nYer7f83D1UZE9TclSZMGECgLRX7AWy7Q4P2X69R7bdfo6vyR6JRCKRSI5jpGhKJBKJRNJDpGhKJBKJRNJDpGhKJBKJRNJDpGhKJBKJRNJDZPSsRCKRSCQ9RPY0JRKJRCLpIVI0JRKJRCLpIVI0JRKJRCLpIVI0JRKJRCLpIVI0JRKJRCLpIVI0JRKJRCLpIVI0JRKJRCLpIVI0JT0mm83ypz/9ic9+9rOMHTsWwzAIBoNMmjSJ7373u6TT6S6PfeCBB5g+fTqhUIja2louueQSXnvttW7rW7p0KZdccgm1tbWEQiGmT5/O//3f//X1bR01fvjDH3LVVVcxZswYotEoPp+PYcOGccMNN/DBBx90eZxsu860tLTQr18/FEVh9OjR3ZaV7Qfz5s1DUZQuf5599tmqx8m2q4KQSHrIL37xC0Exs60YN26c+PjHPy4uuugiEQ6HBSBOP/10sXfv3k7H3XbbbQIQfr9fLFy4UFx00UVC13WhaZp4/PHHq9b1hz/8QWiaJhRFEXPnzhVXX321iMViAhBf//rXj/CdHhnq6uqEYRhi+vTp4sorrxRXXnmlOO200wQgPB6PePLJJzsdI9uuOjfeeKNQFEUAYtSoUV2Wk+1XZO7cuQIQV199tbjxxhs7/bz//vudjpFtVx0pmpIe88ADD4jPf/7zYvXq1RXbd+3aJaZMmSIAcf3111fse/755wUg6urqxLp168rbX3vtNeH1ekUsFhNtbW0Vx7S0tIhIJCIA8dhjj5W379mzR4wePVoA4qWXXurz+zvSvPrqqyKXy3Xa/rOf/UwAorGxURQKhfJ22XbVWbRokQDE5z//+W5FU7bffkqiuXnz5h6Vl23XNVI0JX3Ca6+9JgDh8/lEPp8vb7/44osFIH70ox91OuYrX/mKAMTdd99dsf0///M/BSAWLlzY6Zg//vGPAhCXXXZZX9/CMWXUqFECEO+99155m2y7zmSzWTFq1Cgxfvx4sW7dum5FU7bffg5VNGXbdY0UTUmfkMlkykO3u3btEkIUH3A+n08AYvv27Z2OWbJkiQDE3LlzK7bPmTNHAOKhhx7qdEw+nxeGYQjDMKr22k5UTj/9dAGINWvWCCFk23XFN7/5TaEoiliyZInYvHlzl6Ip26+SQxFN2XbdI0VT0id88MEH5bk50zSFEEK88847AhANDQ1Vj0mn0wIQNTU1Fduj0agAxKpVq6oed/bZZ3fqlZ3I/N///Z9QFEWMGTNG2LYthJBtV4333ntP6Loubr75ZiGE6FY0ZftVUhLNb3/72+KWW24RX/rSl8Q999wjtm7d2qmsbLvukdGzkj7hnnvuAWDBggX4fD4Atm3bBsDgwYOrHhMMBonFYrS1tZFKpQBIJpMkEolujytt37p1a9/dwFHkrrvu4qabbuLjH/84Z5xxBjfccAMDBgzgkUceQdM0QLbdgbiuy+c+9zlisRh33nnnQcvL9qvO97//fX7+85/zs5/9jNtuu43Ro0fzve99r6KMbLvukaIpOWz+8pe/8Ktf/QqPx1PxBSwtQQkEAl0eGwwGAcpfvo7LVro67sBjTjSee+45HnzwQf7whz+watUqhg0bxiOPPMLUqVPLZWTbVfKTn/yEt956i7vuuou6urqDlpftV8mcOXN46KGH2LhxI9lslrVr1/KDH/wAXdf553/+5/JLL8i2OxhSNCWHxYcffsinP/1phBDcddddTJo06Vhf0nHPokWLEELQ1tbGkiVLGDNmDHPnzuUHP/jBsb6045Jt27bx7W9/m7lz53LTTTcd68s5Ifnud7/Lpz/9aUaOHInf7+e0007jH//xH/nTn/4EwB133EEulzu2F3mCIEVT0mt27tzJggULaGtr4/bbb+e2226r2B8KhYCiKUJXZDIZAMLhcMUx3R134DEnKrFYjI985CP85S9/YerUqXznO9/hrbfeAmTbdeRLX/oSlmXxP//zPz0+RrZfz7jwwgs5++yzicfjLFu2DJBtdzCkaEp6RWtrKxdeeCFbt27lb/7mb7j77rs7lRk6dCgAO3bsqHqOTCZDPB6npqam/EWKRCJEo9FujyttHzZs2GHfx/GAx+PhuuuuQwjBk08+Cci268hTTz1FIBDgi1/8IvPmzSv/fOITnwCKL2+lbXv27AFk+x0KY8aMAWD37t2AbLuDIUVTcsik02kuvvhiVq9ezVVXXcUvfvELFEXpVG7s2LH4fD6amprYuXNnp/0rVqwAYOLEiRXbS0O8pf0dKRQKrFy5EsMwOO200/rido4L6uvrAWhqagJk2x1IPB5n8eLFFT+lnpFpmuVtpmkCsv0Ohba2NmD/nKNsu+6Roik5JPL5PAsXLuTNN9/koosuqoj4PBC/38/8+fMB+P3vf99p/x/+8AcALr/88ortl156acX+jjz11FOYpsn555+PYRiHdS/HE4sXLwZg1KhRgGy7joji0rhOP5s3bwaKbVbaNnz4cEC2X09pamrilVdeAeCss84CZNsdlGO01EVyAmLbtrjyyisFID7ykY+ITCZz0GO6s+Py+XyHZMe1d+/eE9aO69VXXxXPPPOMcBynYrtlWeLee+8VqqoKv98vtm3bVt4n2657ulunKYRsvxJLly4Vjz/+eHkNcInNmzeL2bNnC0B87GMfq9gn265rpGhKesyPf/zjsuvPlVdeWdX4+cYbbxRNTU0Vx5WMnwOBgFi4cKG4+OKLe2T8rKqqUBRFfPSjHxXXXHNN2fj59ttvPwp327fcf//9AhD19fXioosuEp/85CfFhRdeKAYMGCAAYRiG+O1vf9vpONl2XXMw0RRCtp8Q+z97/fv3F5dccon45Cc/KWbPni0MwxCAmDBhQreJFk7ltquGFE1Jj/mXf/mXsmh291PNquv+++8XU6dOFYFAQMRiMbFgwQKxdOnSbut79dVXxYIFC0QsFhOBQECcffbZ4oEHHjhCd3dk2bRpk/jHf/xHMXv2bDFgwADh8XhEMBgUEyZMELfeeqtYv359l8ee6m3XFT0RTSFk+61evVrccsst4qyzzhINDQ1C13URjUbFzJkzxX/913+JbDbb5bGnettVQxFCiCM3+CuRSCQSycmDDASSSCQSiaSHSNGUSCQSiaSHSNGUSCQSiaSHSNGUSCQSiaSHSNGUSCQSiaSHSNGUSCQSiaSHSNGUSCQSiaSHSNGUSCQSiaSHSNGUSCQSiaSHSNGUSCQSiaSHSNGUSCQSiaSHSNGUSCQSiaSHSNGU9CmZTIYf/vCHfPSjH6WxsRGv10tNTQ3nnHMO//zP/8y2bdsqyt90000oisLLL798RK/raNVzIrJlyxYURWHevHk9PuZEa8/Dud6bb76ZYDDIvn37+v7C+pBf//rXKIrC/fff36PyiqKUk3aXePnll1EUhZtuuqli+49//GMUReHNN9/so6s9cZGiKekzXnvtNUaPHs3Xv/513nzzTc444wyuueYaZs2axcaNG/ne977HaaedxqJFi471pR4VeiNGkuOLDz74gAcffJAvfelL9OvX71hfTrc8+eSTqKrKZZdd1ufn/sIXvkBjYyN/93d/1+fnPtGQoinpE959913OO+889uzZwze/+U327dvHCy+8wG9+8xuefvpp9uzZw2OPPcbgwYPZsWPHsb5ciaRHfPvb30bTtONeLAqFAs8++ywzZsygoaGhz8/v9/v56le/yiuvvMIzzzzT5+c/kZCiKTlshBB85jOfwTRN7rjjDv7jP/6DYDBYUUZVVa666irefvttzj777GN0pRJJz9m+fTtPPfUUF1100XHfy1yyZAmJRIKPfexjR6yOT33qUyiKws9//vMjVseJgBRNyWHz7LPPsnLlSgYPHsw//dM/dVs2Go1yxhlnVN23ZMkS5s+fTzgcJhKJcOmll7J69eqqZW3b5ic/+QlTp04lFAoRCoWYPn06P//5z3Ec55CuP5vN8u///u9MmTKlfK6ZM2fy4IMPVi2/detWbrnlFk477TQCgQC1tbVMmDCBL3zhC6xduxaAO+64gxEjRgCwePFiFEUp/xw4X9Ta2so//MM/MH78ePx+P9FolPnz5/PUU091qrvjkG8ymeT2229nxIgReDwevvrVr5bLrV69mk996lMMGDAAr9fLoEGDuOGGG8rXdyTpaXvu27cPXdcZOHAgrutWPdeTTz6JoihcddVVFduFEDzyyCPMnz+fmpoaDMNg3Lhx3HHHHWSz2T65j/vuuw/Xdbn++us77ev4d8hkMtx+++0MGTIEv9/PWWedxZNPPlku+/vf/54ZM2YQDAZpbGzkK1/5Crlcrmqd77//PpdffjmxWIxwOMycOXN4/vnnu5xrLPHnP/8ZgMsvv7xie2trK1/+8pcZOHAghmEwfvx47rnnHoQQh9weQ4YM4dxzz+Uvf/kLu3btOuTjTxqERHKYfOlLXxKA+NrXvnbIx954440CELfffrvQNE3MmDFDXHvtteK0004TgKirqxO7d++uOMa2bXHJJZcIQEQiEXHFFVeIhQsXinA4LABx5ZVXCsdxqtbz0ksvVWzfu3evmDhxogBE//79xSWXXCIuvvhiEY1GBSC+/OUvV5Tftm2bqK2tFYAYM2aMuPrqq8UVV1whpkyZIhRFEffff78QQojHH39cXH311QIQjY2N4sYbbyz//OIXvyifb+3atWLIkCECEMOHDxcLFy4U8+fPF4FAQADirrvuqqh/8+bNAhDTp08XkydPFjU1NeKKK64QV111lbjjjjuEEEIsWrRI+P1+AYgpU6aIT3ziE2Ly5MkCEKFQSCxZsqTqOefOnXvIf7fDbc8FCxYIQCxatKhqPdddd50AxGOPPVbe5jiOuP7668v3M2/ePHHllVeW23H69Okim8326Hq74+yzzxaA2LlzZ6d9pTY755xzxIwZM0S/fv3ENddcI+bNmydUVRWaponnn39e/PCHPxS6rovzzjtPXHnllaKurk4A4pOf/GSnc7722mvlv/vEiRPFJz7xCTFt2jShqqq49dZbBSBuvPHGqtc6YsQIMXLkyIptra2tYty4ceW/xbXXXivOP/98oeu6+PKXvywAMWzYsIpjXnrppW7r+c53viMA8atf/apHbXgyIkVTctjMnj1bAOKhhx465GNLDzNVVcXjjz9e3m7bdll0vvOd71Qcc/fddwtATJgwQezZs6e8fdeuXWLs2LECED/5yU+q1nPgQ7MkvrfddpswTbO8fc+ePeWH5jPPPFPe/s///M9VH/5CCLF161axYcOG8u8HEyPbtsWZZ54pAHHnnXdWCP369evFiBEjhKZp4oMPPuh0ztIDu62treKc6XRaNDY2CkD89Kc/rdj3wx/+UABi8ODBIpfL9fg6q9FX7fnQQw8JQNx8882d6kgmk8Lv94toNFpxrjvvvFMAYt68eRUvVPl8Xnz2s58VgPjmN7/Zo+vtilQqJTRNEwMHDqy6v+PfYf78+SKdTpf33X///QIQo0ePFjU1NeKtt94q79u5c6fo16+fAMTGjRvL2x3HKb8o/uAHP6io65e//GW5rmpi9sEHH5TbvCNf/OIXBSAWLFggMplMefuyZctEKBTqlWg++eSTAhA33HBD1f2nAlI0JYfN6aefLgDx7LPPHvKxpYfZpz71qU77li9fXvVhPnToUAGI5557rtMxf/7zn8sPrGr1dHxovvPOOwIQ06ZN69QzFUKIFStWCEB87GMfK2+75ZZbBCD+9Kc/HfTeDiZGjz/+uADE1VdfXXX/H//4RwGIr3zlK53OCVQ8jEvcd999ZUGtxtSpUwUgHn744R5fZzX6qj3T6bQIBoOdhFEIIR588EEBiM9+9rPlbYVCQdTX14tgMFjxwlQim82K/v37i5qamoprOFTRXLZsmQDERz/60ar7S22mqqpYu3ZtxT7HcUR9fb0AxLe//e1Ox37ta18TQHlUQgghnn/++fLoRbW2K72YVhOzf/u3fxOAeOGFF8rb0um08Pv9QlXVihe5Et/85jd7JZrr168v94RPVeScpuS44MILL+y07bTTTgNg9+7d5W3btm1j27ZtNDQ0VD3msssuIxaLsWHDBvbs2dNtnX/9618BuOKKK1DVzl+F0pxcx7VpU6dOBeAf//EfeeqppzBNswd31339B87XlfjIRz4CUHVt3IABA6oGVL3yyitAMWijGp/+9KcryvUlvWnPYDDIwoULSSQSPP300xXlf/3rX1dcM8CKFStobm5m1qxZNDY2dqrD7/czdepU2traWL9+fa/vpbQms6ampttyw4cPL39OS6iqyrBhw4Dqn+uRI0cClZ/rpUuXAnD11VdXbbvrrruuy2v485//TCwWK39eAN5++21yuRxnn302o0aN6nRMtXnanlBbWwtAU1NTr44/GZCiKTls6urqgMP7Ig0ePLjTtnA4DEA+ny9vKwUglB5KB6IoSnnfzp07u61zy5YtAPzTP/1TRaBOx590Ok1zc3P5mJtuuolrr72W1atXc/nll1NTU8OcOXP4t3/7t4OKdFf1l6ISD/wpLR3oWH+JoUOHVj1nqX0OXLReorT9YG3TG3rTnrBf4EsiCbB3715eeOEFBg8ezJw5czrV8fzzz3dZR0l8q7VbT0kkEsD+z2BXDBo0qOr2UCjU5f7Svo6f65KADhkypOr5uvp779u3jzfffJMFCxbg8XjK2w/2Penq83EwIpEIAPF4vFfHnwzox/oCJCc+kydPZunSpaxYsaKiV3AoVHu77i2KovSoXCli89xzz636Nl4NTdP47W9/y7e+9S2eeOIJXnzxRZYtW8Yrr7zCf/zHf/Dss88ya9asQ6p/wYIFVXtNJerr6zttMwyjR3UcSE/bpjf0pj2h2BtraGjg6aefJpFIEI1GefTRR3Ech+uvv77is1GqY/To0cyePbvb85Ze5npDNBoFIJVKdVvuYJ/bvvxcV+Opp57Cdd1OUbNHitLLRCwWOyr1HY9I0ZQcNpdeeik/+9nP+P3vf8+dd96Jrh+5j9XAgQOB4rKPrijt66oXUKLUu73iiiv4+te/fkjXMWXKFKZMmcIdd9xBMpnkjjvu4Ec/+hFf/epXe2w1Vqr/c5/7HFdfffUh1d8VB2ufUk/tYG3TG3rbnrquc9111/HTn/6Uxx57jJtvvrnq0GzHOk4//XQeeOCBvrnwKpTWZba2th6xOjoyYMAAoLg2tBpdbX/yySfRdZ1LLrmk6vm6+hx09/3pjra2NoAjYqBwoiCHZyWHzYIFC5gwYQI7duzgBz/4Qbdlk8kkq1at6nVdQ4cOZejQoTQ1NfHCCy902v/000/T1tbG6NGj6d+/f7fnuuCCCwB4/PHHe309UByy+vd//3cURWHlypXl7V6vFyiuKT2S9XekNK/1yCOPVN3/8MMPV5TrSw7nfkpDtL/5zW9Yv349b731FmeccQYTJ06sKDdt2jSi0SiLFy8+ooI2YcIEdF0/KutagXKv+fHHH6+6hvJ3v/tdp22mafL8889z7rnndur5TZ06Fb/fz9tvv82mTZs6Hfvoo4/26jrXrFkDFEeXTlWkaEoOG0VRePjhhzEMgzvuuIN/+Id/IJPJVJQRQvDnP/+Zs88+m7feeuuw6rv11lsBuP322yvmUffs2cPf//3fA3Dbbbcd9DwzZszgggsuYOnSpXzpS18imUx2KvPee+/x7LPPln9/6KGHKoSxxDPPPIMQomJOqr6+Ho/Hw8aNG6saLlx99dWMHz+eX//613zve9+rmOOCYpstXbq0HCTSE6699loaGxt59dVX+d///d+Kfffeey/Lly9n0KBBfdaz7Uhv2rPEzJkzGTVqFC+99BJ33303UD2Yyefz8Y1vfINUKsVVV11VVRB27tzJQw89dFj3EgwGmTJlCrt37z4i878HMn/+fMaMGcPatWu58847K/Y98MADVQO3XnzxRTKZTFUXoFAoxGc+8xkcx+HWW2+tMFNYvnw5P/3pT3t1naVRlLlz5/bq+JOCYxu8KzmZePXVV8trBAOBgDjvvPPEJz/5SXHppZeWtxuGUbGQ/WBLAagSFm/btrj44osFIKLRqLjyyivFFVdcUTY3uOKKKw7J3GDKlCkCELFYTMybN698zaXF8h3Xvy1cuFAAYtSoUeKKK64Q119/vZg5c6ZQFEWoqip+97vfVZz/8ssvL68p/cxnPiM++9nPivvuu6+8f926dWLEiBECEP369RPnn3+++OQnPykuvPDC8nq+H/3oR+XyPVke0tHcYOrUqeL6668v3+PRMDc4lPbsSGkNLCAURRFbt26tWs5xHPGZz3xGAMLr9YoZM2aIT3ziE+Kqq64SEyZMEIqiiEmTJvXoervjjjvu6LQ8p8TB2mzu3LkCEJs3b+60r7SO81/+5V8qtnc0N5g0aZK4/vrrxfTp04WiKGUDkb/9278tl//CF74gALF+/fqq19DS0lJetzxgwABx3XXXiQsvvFDoul4+36EuOTn33HOFpmlVDR9OFaRoSvqUVCol7r77bjF37lzR0NAgdF0XsVhMzJgxQ/zLv/yL2L59e0X53oimEMX1evfcc4+YMmWKCAQCIhAIiLPPPlv87Gc/E7ZtdyrfXT25XE7ce++9YtasWSIajQqv1yuGDBki5s6dK+66666Ka168eLH40pe+JCZPnizq6uqEYRhi5MiR4hOf+ETVdZN79+4Vn/nMZ0T//v2FpmlVH0jxeFx8//vfF2eddZYIhULCMAwxfPhwcdFFF4mf/exnoqmpqVy2pwK3cuVKcf3114vGxkbh8XjEgAEDxKc//Wnx4Ycfdirbl6IpxKG1Z0fWrl1bFs05c+Yc9BqeeOIJcemll4p+/foJj8cj+vXrJ6ZOnSq+8Y1viLfffrvH19sV27ZtE5qmiUsuuaTTviMhmkII8e6774rLLrtMRCIREQwGxezZs8UzzzwjHn74YQGIb33rW+WygwYNEuPGjev2Hpqbm8Utt9wi+vfvL3w+nzj99NPF3XffLVzXPWTR3Lp1q1AURVx++eXd1nmyI0VTIpFIuuCKK64Quq53snI82pR6lY8++qgQYr/xxze+8Y2jdg0lE4W//OUvR63O4xFFiF4490okEskpwMqVK5k0aRJf+9rXynOtR4rW1laSyWSnNZS//e1v+dSnPkU4HGbHjh0Eg0HefPNN/vKXv3D99dczduzYI3pdALlcjpEjRzJmzBiWLFlyxOs7npGiKZFIJN1w880389vf/pbNmzcf0RRhb7zxBueccw4TJ04suwatWbOGtWvXomkav/nNb7j22muPWP3d8eMf/5ivfe1rLFu2jOnTpx+TazhekKIpkUgkxwH79u3ju9/9Li+++CK7du0ik8lQX1/PrFmz+Lu/+zvOOeecY32JEqRoSiQSiUTSY+Q6TYlEIpFIeogUTYlEIpFIeogUTYlEIpFIeogUTYlEIpFIeogUTYlEIpFIeogUTYlEIpFIeogUTYlEIpFIeogUTYlEIpFIeogUTYlEIpFIeogUTYlEIpFIeogUTYlEIpFIeogUTYlEIpFIeogUTYlEIpFIesj/DzKyIImMwb2vAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 450x450 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure()\n",
+    "ax = plt.gca()\n",
+    "ax.set_ylabel('Resting blood pressure (mm Hg)')\n",
+    "ax.set_xlabel('Cholesterol level (mg/dl)')\n",
+    "_ = points_plot_prob(ax, Xtrain, Xtest, ytrain, ytest, classifier, psize = 20, alpha = 0.1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "_jOAibq0Hung"
+   },
+   "source": [
+    "Notice that lines of equal probability, as might be expected are stright lines. What the classifier does is very intuitive: if the probability is greater than 0.5, it classifies the sample as type '1' (has heart disease), otherwise it classifies the sample to be class '0' (no heart disease). Thus in the diagram above, where we have plotted predicted values rather than actual labels of samples, there is a clear demarcation at the 0.5 probability line.\n",
+    "\n",
+    "Again, this notion of trying to obtain the line or boundary of demarcation is what is called a **discriminative** classifier. The algorithm tries to find a decision boundary that separates those who have heart disease from those who do not. To classify a new sample, it checks on which side of the decision boundary the sample falls, and makes a prediction. In other words we are asking, given $\\textbf{x}$, what is the probability of a given $y$, or, what is the likelihood $P(y|\\textbf{x},\\textbf{w})$?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "cohgzM2BHunc"
+   },
+   "source": [
+    "### Discriminative vs Generative Classifiers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "WBf2j5fRHunc"
+   },
+   "source": [
+    "Logistic regression is what is known as a **discriminative classifier** as we learn a soft boundary between/among classes. Another paradigm is the **generative classifier** where we learn the distribution of each class. For more examples of generative classifiers, look [here](https://en.wikipedia.org/wiki/Generative_model). "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/RandomForest_casestudy_covid19.ipynb b/RandomForest_casestudy_covid19.ipynb
new file mode 100644
index 00000000..0c20d5f1
--- /dev/null
+++ b/RandomForest_casestudy_covid19.ipynb
@@ -0,0 +1,2358 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "EvpyI0E7SpNT"
+   },
+   "source": [
+    "## Random Forest\n",
+    "\n",
+    "Random Forest is an ensemble of Decision Trees. With a few exceptions, a `RandomForestClassifier` has all the hyperparameters of a `DecisionTreeClassifier` (to control how trees are grown), plus all the hyperparameters of a `BaggingClassifier` to control the ensemble itself.\n",
+    "\n",
+    "The Random Forest algorithm introduces extra randomness when growing trees; instead of searching for the very best feature when splitting a node, it searches for the best feature among a random subset of features. This results in a greater tree diversity, which (once again) trades a higher bias for a lower variance, generally yielding an overall better model. The following `BaggingClassifier` is roughly equivalent to the previous `RandomForestClassifier`. Run the cell below to visualize a single estimator from a random forest model, using the Iris dataset to classify the data into the appropriate species."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 1000,
+     "output_embedded_package_id": "1NIbktS4yyfVlE2Y4bXMargRbQgbdWTFh"
+    },
+    "colab_type": "code",
+    "executionInfo": {
+     "elapsed": 7579,
+     "status": "ok",
+     "timestamp": 1592213046926,
+     "user": {
+      "displayName": "Andrew Maguire",
+      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GjaIpd1sqQPWOc9NJXtyl5fYSonikxEZgshlvloAYk=s64",
+      "userId": "13447906511017779027"
+     },
+     "user_tz": -60
+    },
+    "id": "z_-6xEUFSpNU",
+    "outputId": "75184be3-e99c-4c44-a638-824a9ba0b1e9"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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NrJcbwDHc3N0U9upg7bj3fatza9as0a5du3TzzTcblAyw3/Tp01VSUmJ1pmXwLbq55V0GJQIAAEBl9fXu+VaXR7R/yJgggEki2j9ktVj8693zFda0h4GJUB7JmQf1w5G1Gtb9BbOj4BqVpxh3SJdJuq3tSAem+Y2vt7/6hY9Vcma84hI32LVOYnqcy92MYP+xzeWaLy1UdiR/30CNu2OOFnwzwea2j9n7scb0fcuheZxFjeq1dU+XSVry7YtW5+bOnauJEycqMLDiS68BOBc3Nzd16tRJnTp10qRJk7R7925FR0frm2++UXx8vM1/Z7hap0+fVv/+/TVlyhSH/HwAAAAAjuHu7q5atWpJkmrXri1PT0/Vr19f9erVk5eXl8npAAAAXA+lypVUUVGRkpOTdfToUR05ckRHjhzRL7/8orS0tN/LlAEAAADA1RQXF2vv3r3au3evXn/99d//gSA4OFjXXXedrr/+el1//fVq1aqVQkJC5OHhYXZkAFfp888/1+HDh63OeNbw1vWT+xmUCAAAAHAOGRvjrZYghozqKv+wYAMTAcbzDwtWUGRYmcdC6XESFBlmcDJcSaElX+f2n9CvH279/TWjVLnyKLTkK+7RT+yeb/PyIIcWKpfyDvTTrV+M146/fGDXfNb3v1SJUuXjS3dq3+TlZseoMHmp2XbNBUWGycu/uoPToCyB3a5T/dtu0KnNP5c5U1JSotdff10rV640MBlg2969e/Xll19anXGTm0b0fk1ucjMoFQAAACqjuMQNVosKI9qNdrliSKC8QurdqPDQfmUeC6XHSXgo3xdzFrkFFiVl7NPXu+f//rpRquz6EtPj7JoLD+2nAbc84eA0/+XvG6jRt8+wu1R54caJhhQ+V5TcAosWbpxo97wRhcql7N32Mfs+UkT7h6rMe5bIDmO0ce8incz+tcyZnJwczZkzR6+99pqByQA4WmZm5u/dDUePHtXRo0eVkpKi9PR0ZWZm6uLFi4bm2b17t4YNG2boYwIAAABwHLoTAAAAyo9S5UoiLS1Nu3fv1u7du/X9998rNjZWubm5ZscCAAAAAIc6deqUTp06pfj4eEVHR/9hmZeXl9q2batu3bqpY8eO6tixo9q0aSM3N/6gGXB2xcXFeuONN2zOXffEbfKuX9OARAAAAIBzKLTk68eRi6zOBA9sZ1AawFwtxva0WjD+48hF6nf0dUo0TZSXmq0zPx0rV+EuXM+5/Sfsng0Z1VWh43s7Lsz/COze0moB++USZkcrdHyfSnvOyN6drIQ5MXZtC1dyISnLrrm6t4Y6OAlsCZs+SJlbj6jkUnGZM6tXr9a+ffvUrh3vZ+E8pk+frpKSEqszXW+4Vy2DbzEoEQAAACqj3AKLZq6gS6P8AAAgAElEQVQabnWmy/V3G5QGMNddHR+1Wto5c9VwLXoySb7e/gamwv/KsqToaNqPmrfuEbOjwAHsLfa9q+Ojhh+Lgf6N9eSAhXbve+nZiWoY4BqfD6eeOVqu+X7hYx2U5MoC/Rvr2SGf2nzPcjD5uypTquzh7qX7e7ykd9aOtjo3d+5cTZw4UXXq1DEoGYCKZLFYtH///t/7G7Zt26aTJ0+aHQsAAABAJUZ3AgAAQPlRquyi0tPTtX37dsXExOirr75Samqq2ZEAAAAAwKkUFhb+fvOZUoGBgerTp48iIiLUt29fNW/e3MSEAMoSFRWlgwcPWp3xDvRTi3G9DEoEAAAAOIdTm3+2ORPYvaUBSQDz2bOvn9r8sxoN7mBAGlzOEp+mtHX7lDA72vYwXN6vH261e7blU7c7MMmV2Spgv1zeiTPyCgt2cCJj5aVmK3npzqs+Hu0tpTZL7rHTds3VuqmRg5PAFr+WQWp8T0edWP5TmTMlJSV67bXX9MUXXxiYDCjb/v37tWbNGqszHu6eGtb97wYlAgAAQGW1NynG5kxY0x4GJAHMZ8++vjcpRl1b32NAGvyv5MyD+uHIWq3aOcvsKHCQLEuK3bNmXZvaN4+we/bM+TSXKVU+mvqD3bNTh62Wv2+gA9NcWXhoP4WH9rNafr90yzT1uWlElSm/79RqoEIbdFDiyT1lzlgsFr3zzjt69dVXDUwG4GpduHBBO3bsUExMjGJiYhQXF2fz5osAAAAAYBS6EwAAAK7M3ewAsE9xcbG2bt2qCRMmqFWrVgoODtawYcP04YcfUqgMAAAAAHbKyspSVFSUxo0bpxYtWqhVq1Z6+umntXXrVhUXF5sdD8D/N2uW7T+6CH2sjzx8qxmQBgAAAHAOhZZ8xT36idWZ8PkjDEoDOAdb+7ytYwYVp9CSr6ztCfpx5CJ9d/tbFCpXERcSM+0u3A2fP0I+jQIcnOjParVtYvdsXmq2A5MYKy81W4kfbFFMx9eu+nhsObGvOi0ZU8HJKtbZA/YVfPg0rO3gJLBHy2ci5eZp/euKK1eu1JEjRwxKBFg3c+ZMm0UJPdoMU/1azYwJBAAAgEopt8CieesesTrz5ICFBqUBnIOtfd7WMYOKlVtgUfzxbZq5arieX9yLQuVKLuNskl1zj0TOdnCSsvl6+9v9+MdO7XdwmoqzdMs0u+bCQ/uZerOF29va/k5C6pmjBiRxDm5y0z23Pmtz7t1339WFCxcMSATgavz666+aOXOmevToodq1a6tv376aMWOGdu/eTaEyAAAAAKdHdwIAAIDkaXYAlK2oqEjffvutvvjiC61evVoZGRlmRwIAAACASiUhIUFz5szRnDlzFBQUpCFDhujee+9Vnz595OHhYXY8oEraunWrfvrpJ6sz1QJqKGRkV4MSAQAAAM7h3P4TNmfq3NLM8UEAJ2LPPp+1PUGB3Vs6PkwVlZearTM/HaPAuoo6vSPRrrmgyDA1GtzBwWmuzMu/utq9NUz7Ji+3OZuTmKkgAzI5Ul5qttLW7tOh6Wuv6ee0e2uYmj7YpYJSOU7y4li75qrVq+ngJLBHjWZ11WhIuFKidpU5U1JSovfee09z5841MBnwZ+np6Vq+3Pq1w93NQ4M6P21QIgAAAFRWSRn7bM60Cu5kQBLAedizz8cf32ZqqWhVkGVJ0dG0HymxrmLsLVUObRju4CTWNanXxq65C/nnHJykYmRZ7LuBoCTd1fFRByaxrXVj29/d3ZO4US0b3mxAGucQHnqHQht0UOLJPWXOZGdn65NPPtGjj5r7+gH4ryNHjuiLL77QihUrtGdP2ccvAAAAALgauhMAAEBV5G52APzZ0aNH9corryg0NFR9+/bVggULKFQGAAAAAAfLyMjQ/Pnz1bdvXzVp0kQTJkzQgQMHzI4FVDlz5syxORP6WG95+nkbkAYAAABwHr9+uNXq8pBRXeXTKMCgNIBz8GkUoJBR1v9w19axg6tjiU/T/ilfKKbjaxQqV2H2FBVLUouxPR2cxLraHZraNXetRcTOIKbja9f8PLp/NcElCpXzUrPtmgsZ1VVe/tUdnAb2avVMpNw8rX9l8aOPPtLZs2cNSgRc2fvvv6+LFy9anene5i9qGBBqUCIAAABUVl/vnm91eUS70Qr0b2xQGsA5BPo3VkS70VZnbB07uHrJmQe1KHqynvywHYXKVVDexfN2zdXwru3gJNYF1Ghg19yqnbMcnKRi2FtmLUnNg9o5MIltvt7+GtJlktUZV9nuFWnIrZNtzsyePVvFxcUGpAFQFovFoiVLlqhv37664YYbNHXqVAqVAQAAAFRqdCcAAICqwtPsAPhNfn6+li1bpkWLFun77783Ow4AAAAAVGnp6emaO3eu5s2bp27dumnMmDG6//77Vb06xQuAIx07dkxr1qyxOuNVy0fNRnc3KJFry0vNVv5Ji3JPnFF++jkVWvKUMDv6irNtXh4kSaresJa8A/1Uo3mgyxbylT7vi6dzlJOYWebzDooMU91bfyu8qHVTI1ULqCGfJnUqTclOoSVfOQkZv7/+VypUajmxr7z8fVTrpkbyaVhbNULrmZD02hRk5aggw6KL2ReUe+y0Cs/nW93Xpf8+b6+a1eXbrK6qBdSQd5C/vAP9DEwOZ8D54o/yUrN1ISnr92PpSueNkFFdVaNZoPxC68mnUYBLbIdCS77yTpzRxewLOncgtczXuc3Lg+RVs7pq3tBQviF1OSc42IXETOWln7X5mkhy6etURcrenayMjfFWZ5oMu8WgNFen9Lqdl5pt13m39Frtyq9/6TnofEKG8tPP6fSOxD+9jqXnH99mdVWzdUOHnn8uP/YuHMtS8uLYPywv3fbVG9aSb5M6LnM+bDLslj89l8tlbIxX9u5kBXQMMTBV5VRoydeZnYlKXrrT5jkJld+FxEy7ZwO7t3RgEtt8mtSR9OffByXJp2FtuVf3lLu3l0uc8xyp5cS+aj6mh8tshwtJWXbN1b6J4ilnUqN5oIIHtlfqqrgyZ3JycvTvf/9bzzzzjIHJgP/Kz8/XggULrM64yU13d55oUCLXl2VJUfaFk8o8d1zZOem6kH+uzHKdB3u/KkkK8GuoWr71FFS7uUuWCJY+5/O5WUrPTizzOYeH9lObJr/dKKZZ/bby8wlQPf+m8vX2NzqyQ+QWWJR65ujvr/3SLdP+NDOkyyTVqF5Lzeq3VZ2awS5ZVm7JzVL2hZPKyctWxtkk5V08b3U/l/77vH2q1VRQ7eby8wlQQI0G8vcNNDA54PosuVnKOHfs9/PMoROxikvc8IeZy88zrnpdcSXp2Yk6cz5Nx07tL/NcWHq9d+Vzf0VJSN/1p332f/W88X6D0ly90mvhaUuKXe99Sq9/rvr65xZYlGk5rtTTR8s89zzY+9Xfn2eTwBsceo2//Lg7mZ2kmH0f/WF56XYP8GuoerWaKqhWM5d4z9Hzxvv/9FwuF5e4QQnpu9Sy4c0Gpqq8cgssOpwSq037P7F5XkLldqXf267E7PdUZj9+RTuXa9+/uQzpMskpPjO4rmG4zZn07ESXvM5frfDQOxRS70YlZx4sc+bo0aOKjo7WHXfcYWAyAJK0detWLVy4UCtWrFBeXp7ZcQAAAADAFHQnAACAyoxSZZNlZGTo448/1ty5c5WWlmZ2HAAAAADAZUpKSrR9+3Zt375dzz33nB5++GE98cQTaty4cn0ZF3AW7733noqKiqzONB3eRZ5+3gYlcj2W+DSd3XNc+yYvL9d6VyrOlH4r0wno0FS1w0OculCn9Hmf3Bhvd7FXRhmzIaO6Kuj2Gwx9zl82sK8gZuDJt23OWOLTlLZun9VS4VJXmmk5sa+CB7STf1iwXZmMVloWff7n9HK93pcra9sERYap0T3hqn1TY5ctboRtrn6+kCr2nHEhMVOndyTafd24UmFlyKiuCh7YTrXaNnGqguXs3cnKiDlk1/lQ+vO1sPR52SoAzEvNVkzH12z+/DYvD1Lo+N5lLrf3dbWlPD/Hnn2kIpV3f7vS+5N2bw1T7Q5NnfY65Ugnlv9kc8avZZABScrnQmKmzh5I0ekdiVZLby9X1nm35cS+Copo45Bi3Io6lktZ4tOUufVome+zL3e15x97FWTlKGt7glJXxtm89l1p25de7+p0CXWq8/zl7Nn3Tyz/iVLla5CXmq3Mb4+U+3dNVG5nD6TYNRc+f4SDk9jm5V/d8Pc+rubWL8abXn5dXucOpNo1V1qgDefRYmxPq6XKkvTuu+/q6aeflru7u0GpgP9atmyZMjOtF9m0axGh4Dqudd40WnLmQSWmx2nhxvKVT5dV3jSkyyRd1zBc1zW82WkL4Eqf8+7Eb+wuIYtL3HDF2Yh2o9WhRYShz/eBt+y7Zi6bfNrmTHLmQf1wZK3VUuFSV5oZ0mWSOl8/SCH1brQrk9FKy6JPZB4q1+t9ubK2TXhoP3W74V41D2pXpcqnrkZ6dqKeWdTJrll79ttrFZe4QTNXDbd7/skBC9W19T0OTPTbvjpmXnO7Zt8c9d0Vj7mKPDdUlCxLio6m/ajvf15h1/H3v8dbeGg/3d52hFo37urwQjp7t19F/hwjX4tS6dmJ+vnE93Zf9690vX8kcrZCG4Y77bnfUbYe/MzmTKM6rQxIUn7p2YlKytinn0/EWi2+vVxZ732GdJmkDqGRFV6Om2VJ0ZMftrM592DvV9X/5sdtziVnHtTB5O/sKhz935mIdqPV5fq7Fda0h8117WHJzdLB41vtOhdeabuXvt804lx4tezZ97ce/IxS5WuUZUnR/mOby/27GyqvZZNPy5KbpYuX8lVYVKAz53/7e1d7byCDq5Odk27XXEVdR65VXTtKrc+cT6tSv9e6yU13dnxU8zc8YXVu7ty5lCoDBrl48aLWrFmjt99+Wzt37jQ7DgAAAAA4DboTAABAZUSpskn279+vt956S59//rkuXrzo0Mdy8/JQ9eZ15BMaqOohdVStQU151a0hr6Ca8gqsIffqXvKs/dsfwHrU8JabJ3+MAgAAAOAKiksUP+xjWXYcU/WQANXqEaqAiFaq1StU7tUc9+tlyaViFV0okCRdOpuv4vxCFWZdUGHGeRWevqCLJ88rP/mM8hKzlJ90RiWF1gtZr1ZmZqZmzJih2bNn67777tPkyZPVtm1bhzwWUBVdunRJS5cutTrj5uGuZg91MyiR6yi05OvU5p8V9+gnFf6zLy+irOhyt2tVaMnXmZ2JSl6686qKdcuSvDj298I/Zy8YvlxearYS5m6yu6ywLAmzo5UwO1pBkWFqMban07ze5SkmvFqXlwg62/PHteF88WeW+DQdWxJ7zecM6Y/bIXz+CNW/7QZTSzdTV++pkGti6fPifHDtLiRmKvHD7ypkfyst86xqr8uFxEyb26/lxL5OVXibtT1BaV/uq5DXvVTp+xTJOc43V5KXmq3kpTvtLnS/ksvPPy0nRFx1EXChJV/pa/decwnu5ef5TkvGKCgy7Jp+niN4+VdXy4l9rW735MWxCh3bi5tnlFNFvmeoKBV1IwJn5Gqlv6d3JNo1V+eWZo4NgmvS5uVBajz0Zqe+mVZZ7N0HazR3zuLNqqx2h6aqc0sznfnpWJkzSUlJ+vbbb3X77bcbFwz4/xYtWmRz5q6O4w1I4npyCyzamxSjeeseqfCffXlhU0UX0l2L3AKLDqfEatP+T66qWLcsMfs++r2c0NkLhi+XZUnRmh/esbtYsSyrds7Sqp2zFB7aT3d1fNQpXmupfEWKV+vy0kNne/7OpmFAqMJD+9l17CVnHnT4MZSebd/701I/n4h1eKlypuW43bOucI5JzjyomL0fX/M55vLjbOqw1Rxj1yA9O1Ff7/rgml8TSb+XeValc196dqLNbTekyySnK7yNP75NO4+sqZDXvVTptV/6rXS+ffP/x97dh0VV5//jf3Intw6CICB34ogCoyCjESIqq0iYZmLG1kfSdc2SXLc1bdW21dXPXpWfLNa1VjfXn2l6VWZqZkWI5g0quYph4g00IQjiyCAycjei8PuD7xgazLzPzLkbeD2uq2u3eJ1zXjNzzvucOTPzfCfL6nHr9BU4dG6bVSGixus7tTIV0+IXWRwE3GjQI//yXqsDcDteb76atgNqZapV6xOCm7MCafGLTT7vuYVb8PjIzB4V2skXvs6rfOJrMgI5kmLSA2t0nNzHeHx1PDenJ74mek/dXUNzHVOdd295fC/J3bmP2ZorN871iGu6jhIip+OTY6txq+FGlzXZ2dm4evUqgoODReyMkJ6ltrYW77//Pv71r3+hqoottN5SdrCDwrk/+roMhI/rQPTu5Y/eTn5wd/KBRy9fuDp4wsnBDQ52veBo7wwne+G+59TS2oSf6/JQVLMfl25+C8O92xjoOQazoj6GHewE2y4hhBBCCCHEMq1td2G41wAAaL57Cy2tzWho0eF2ixYNLTW4fec6bjaXQdekwc3mUtxraxGkD8pOIIQQQkh3QaHKIjt79iz+93//F3v37kVbWxvv63fo7QyP6P7wiA2Cx/BAuEX5wznIE3YOFJRMCCGEEEIIsY7++zJ4pwyB8v+mwmWgeF9etnO0h6OnKwDc/18M6by27V4rDBW30FikRf0PFag/W4n6H6/h3m0Db/3cuXMHH330EbZv345p06ZhxYoVGD58OG/rJ6Sn2r9/P65fv26yJmByNNxCvEXqSP6EDFPujJzCJfkKzDTHGNwXOjsB4X+cANdAL8G3aQltThFOzTIf9MF1ndqcIqvD/KylyyvBzx8c5TUIl0XHxy/1/k6sQ+PFg1r0zSjfkS9YQLnxuR61K1P040ao8cI4Hsj9tZUrzYbDguxvHV+XnhCSyhIY6JccJUIn5ol17pZyvOkK39dkxv08auVUKDOTOC1be6YMJetyeX8dTs3aDL8UFYa9OV1246FfcpTZMOuak5puP17wQagJKYD2UPzA6WrZHLfEOixh234pKtmNF6Rd6OwEDJiVYDMTwzysRd/MPEbRPihPYfPGmgxVBoAtW7ZQqDIRXXFxMU6cMH2OC/aJxNDQsSJ1ZBuEDFPuTMdAOilDF09c2i3KYzaGDCbHzMGTj/4JPoogwbdpiQJNNt7eM5P3dRZosq0OH7RWUfkxfH1mI6/B2Sw6Pv6eEjDK1ejIp5heF01VgeChwVzDtnMLt+DZsSsEDQ3VVBUw1c1LyRKsBz7wEWbalb/vnIbkmDl4evSyB8IDiXlfnX5fkJB549iXHDOn2welXrx63GxNrDJFhE7YiHU+NF5fySX0nO9rHOM+npG0GpNHLuC0bEnVaezNz+L9NXh7z0yolamYM2GN7K41Y5UpZsf/i1ePd+uxgk9CTQoDtIfij458CkND6P0yIZZgvdZ1cnAWuBM2LOeLC1dPcD7X2TonB2dMiPkdPj/xf13WtLa2Yvv27Vi+fLmInRHSM9TU1CArKwvr16+HXq/nff32do7o5zYEQR6xCPQYjgD3YfBxVcLJ3pX3bVnCyd4VQ7wmYojXRNxtNUBTdxQXb36Dyze/RYS3/CZRIYQQQgghpKezt3OEq6MnANz/367CE1rb7uGWoQLaxiJU1P+AyvqzuFb/Iwz3bvPWD2UnEEIIIcTWUaiySM6cOYPVq1fjyy+/5DVM2cHDGYpRA+CZOBCeiQPhNtgXsKcZAwkhhBBCCCH8U4waAMWoAVK3YZKdgz1cQr3hEuoN78cj2/9jaxsai6tRl/cz6o5poM8vw71660OW29rasGfPHuzduxdTp07FihUroFarrV4vIT3Vli1bzNaEPS/9j6XkokFTjaJV+0QPmgWkDZeU6nEbA6Vj1qYjJCNe1G2bI1RYpZE1YX7WaKqsRck/DzKFdAnJ+PjDF01E2NwxcPbxkLQfwo7Gi1/TF13DpTXfiPKcnJyxAeGLJiJi6STBt9Wib4Zmw3dmgzStZXxt5RTgKmdNlbX4cfluwfc34+sSt20u/FJUgm5LKi36ZhQu2Wm2ziPcT4RuutagqYbmgyOin7uN442U52mhx6ELq/ahRd/EPKaWb89n2mcsZbw+GndwiayCOFmOgcIlOxEwdTicFC4idGR7GjTVqDmpEWT/CV80Ef2nxMhqnyHWadBUM9UFTqf7pXLTXSYPulPN9mOA8EUTBe6EWCrg8Wi49u+Dpmu3uqzZvXs36urq4Onp2WUNIXzbsmWL2e93pqpfgB3oO5pGVbUabD+8QvSwWeDB0EUxw4aleszGMOl5KVkYHz1L1G2bI1SwppE14YPW0Okr8MX3/0BuofnPMYVkfPxp8YuRqn6Bgl87CPOLYarblLNI0ONGp6+waLlqfbmgYc+bchYx1SkD5PveTYjA9ocZx9e3Zh8RPHy7O9DpK7Dl4FLBz4PG1+XVtB1QK7tf+FOjQc90jAZ6DxahG9OqajX4+vQG0c+Hf985TdJzX6NBj/3/fU+QQHegPYy/obkO6YmvMdUfOreNeVy3hPF6Q25jIcsxsClnEeKHTBN0ogJbV1WrwcWrxwXZh9LiF+PRIVNltd+QnoH1GjwjabXAnYhLbuH3pkhxr0gOJg7/Pb74/h+4e+9OlzVbtmzBsmXLYGdH9xgJ4YNOp8O7776L9957D7dv8xcoZm/ngAD3YVB6jsVAz0QE9VbLJkDZHEd75/sBy4QQQgghhBDbZ2/nAG+XUHi7hCLS+3EAQBtaUd1YjJ/r8qCpO4YyfT4M9+qt3hZlJxBCCCHEVlGossCuXLmC5cuX49NPP+UtTNkl1Bvek6PgnTIEHrFBsHO052W9hBBCCCGEENIt2dvBLaIf3CL6IeD5eLTdbUV9QQVu5lzCza8voLms1qrVt7W14YsvvsC+ffvwzDPP4I033sCAAQP46Z2QHkKr1eKbb74xWeOh7AfvuDCROpI3XV4JTs7YIHUb90MMxQpTEzocjkXhkp24nlOEmHd/K4tw3UtrvhE8RNTowqp9qDmpEeWxa3OKcGrWZkG3wVVJ1gHoi67J5rUnptF48Wv6oms4MmGtqNs0jk9CBisbdPUofOVTUcOzT87YAPXG5xA4LVa0bdoaKfa3U7M2d9vXpb5Ea7YmfNFESUNipT53G8/TqpVT4a70FXXbYo1DrGOqmNeHRyaslVWwspPCBeGLJpp9/PUlWniNCBWpK9tQe6YMV3f+l/dQdL8UFQKnq+GTGC6L6yHCr6aqrkNQO+otceg/eVB3moiiXnODqa73EH+BOyGWsnO0R/AzcSh+N6fLmqamJnzyySd48cUXReyM9GT37t3Djh07TNY4O7lhVMR0kTqSv6LyY/j7zmlStyFqGKbQYXYsNuUswhnNt3jxsXWyCNfdmfeGYGGDD9t+eAUuXD0hymMXI8iVqz3576Csukg2r70cBHgpoVamMoV1VdVqEOClFKQP7a1Si5arrCkWbNwqqz7PXCvXEEQxxxcAWLZ1XLcN8OVLWfV5LNs6TtRtvr1nJhZO2YSEbnYNVnmz2GxNWvxiyUNipT4fGs99GUmrBRvDO6Nv1OHf374seBikcYwzF6ws5ni4bOs4WQUruzkrkBa/2Ozjr7xZjPCAkSJ1ZTtKqk7j6PlPeA9FVytTMTryKQwNGUvXpUQytQ3XpW6BMNDpK2wqCJoPnm6+UA9MwamS/V3WlJSU4Pjx40hMTBSxM0K6n+bmZqxbtw5vvvkm6urqeFmns0NvDPFKRqT3JAz0HAMXR5q4gxBCCCGEECJPdrBHP7cI9HOLQHzA82htu4uK+gJcupmDCze/Rm1zmVXrp+wEQgghhNgaSuMVyK1bt/Dqq68iIiICn3zyidWByi4DvBH08jhE52Qi9sTLCP3LRPR+JIQClQkhhBBCCCGEIztHe/SOC0Ho6ymIPfEnRH87H4F/HAuXAd5WrbetrQ0ff/wxIiMj8ec//xm3brEFixBCgE8//RQtLS0ma0JmPipSN/KmzSmSRaByR0cmrIW+6Jpg62/RN+PSmm8kD0g10uYUIWfoCkEfM4vy7fmiBeYZaXOKUPjKpzDorJ+1uCuVe8/KLlDZSIzHT6xD40Xnas+UiR5wa1SSdQCX1pieOMFSTZW1ogcqGxXM/wiVe8+Kvl1bIEWgslF3fV20uRfM1viMHiRCJ527tOYbWZy7tTlFODT6TVHHXLGD3UuyDpjcx8UMVO64TTldG3nFhpitYTmmeoIWffP9a++8yet4DVQOXzQR4w4uQdy2uQicFkuByt1U3Y+VTHXOfvQjUzlQb3wOqcVvdJtAZQCo11Qz1bkFm7/v36Cphi6vBJoNh3FpzTf40v+VB/45NWszNBsOo3x7PnR5JWiqtG6iRvKL4N8+AtjZmazZvn27SN0QAnz33Xe4evWqyZr4IU/CtRdd3wDtAXtyCFTuaNnWcZxCRLloNOixM+8NyQOVjQo02XjxX0MEe7ysDp3bJmrgKdD+2P/97cvQN+oE28aJS7tlF6hsJMbjtzWjI59iqivVFgrWw5Ub5yxarkJ3iedOflFZYz6wFQDmpWQJ1oOl9I06vL1npujjC9Ae4FtUfkz07doCKQKVjdbvn4cTl3ZLsm2hnNV0PcGMkSpkjAiddG1n3huyOB8WaLLxyuY40a57xApUNtqT/47J/VvsgPn2bb4pq2uNQQFqszUsx1RP0WjQ37+eXbHjMV4DldPiF+Ot2UfwatoOJERMp0BlIqmr1Wyf+Q3oFy1wJ8SUBkPP/C590jDz11B075sQy7W1tWHHjh0YMmQIli1bZnWgsrODB2J90zEzYiv+PPIcngp/D1F9J1OgMiGEEEIIIcSm2Ns5IqR3HFJCX8efYk9gfvS3GBv4R3i7DLBqvZSdQAghhBBbQYm8PGttbcWGDRswaNAgrF27FgaDweJ12bv1gm96LFSf/x6xeX9E8J/Hw13lz2O3hBBCCCGEEELchwYgZOkExOb9EarPfw/fp4fD3q2Xxetrbm7G22+/jUGDBmHjxo1obW3lsdHLopMAACAASURBVFtCuqddu3aZ/Ludoz0CnxohUjfypS+6JovAus4cmbAWDYxhNlwYdPU4+4cdoofDsRA6TNoUbU6RZKGxQgYLV+49i4L5H/G+Xj5pc4pQupl+SC1HNF50Tl90DXmT10mybaOSrAO8B44adPX4cfluSQKVjbprgK81pAxUNiqY/xFqz5RJ2gOfWvTNTONa74gAEbr5NSlCfM0R6rq0M6Wbj4k+DhXM/6jTIEepXgttThEqPjst+na7olD1N1tTknUALfpmEbqRpwZNNTQbDiN78GsomP8Rb/uwX4oKcdvmIuX8akQsncT0WhDb1nCFLVSFQrWl45eiwqhdmXji+rsInBYLJ4WL1C3x6sKqfUx1Lv6d/9hZX3QN5dvz8aX/Kzg0+k2cnLEBF1bt6/R8qs0pwoVV+1C4ZCdOztiA3BH/iy/9X0H59nzJJ9GxdW6hfdF3lNJkzYkTJ3DtGj3PRBzmPqsAgKSh0ofKyUFZ9XlZBOx1ZtnWcaiq1fC6Tn2jDu9/nSlJuKc5QgZJm1OgyZYsZFrIYOETl3Zj/f55vK+XTwWabGQXfCB1G7IR5hfDVHf84ueC9bD98AqLlhNyXGF9vMG+UYL1YAmxw0w78/ed0yQPrZcbKQOVjdbvn4eSKvnci7RGo0HPdPwH+0SK0E3npAjyNUeI67zOZBd8IPoYtH7/POj0Fb/671K9DgWabBy78Kno2+1KiO9QszV78t9Bo0EvQjfyVVWrwVen38fc9WFYv38eb/uxWpmKV9N24N8vXUZ64msIZXg9CBED6/tR7970mZWU6pt65iSF0QPGw8vD9O/A9+7di3v37onUESHdx6lTpxAXF4eMjAyUl5dbvB472GGAYhTSBq3DkpFnMW1QFgZ7JcPR3vLfERFCCCGEEEKInAS4D8WEkKX4Y2wefq/6HMN9n0YvezeL10fZCYQQQgiROwpV5lFBQQFGjRqFl156CTU1NRavxy2iHwb+31SMPLsEg7KmQREfCtjZ8dgpIYQQQgghhJBfsbODIj4Ug/6RhpFnl2DgmifgNqSfxaurqalBZmYmEhIScPYsha0R0pXr16/j+PHjJmv6jY+Ei1/nASg9hUFXj0trvpG6DZOKGMNsWBl09Sh85VNJAzPNkSIotUFTLXm4tjFYmc8wOm1OkewDlY1Ksg5Al1cidRukAxovOmfQ1UsecGt0atZm3sLYW/TNsnm9C+Z/hOrvLkvdhiw0VdbKZn8rWZfbbQJT60u0Zmv8UlSSBFbKMVDZqGjVPkEmgOiofHu+ZI+/5J8HH/j3yr1nJX0tLqzaJ5tASddAL6Y6lmOru6k9U4ZzS3fh0Og3mYNIWUStnIpxB5cgbttcycYjIo2yrSfM1kStnGrRulv0zdAXXYM2pwiaDYdxbukufOn/yq/+0Ww4jPLt+dDllYgWqG8LOh6XPonhUrcjCC7n+YfPDbq8EpyatRlHJqy1esKqwiU7cWTCWpyatZnuE1gh5Nk4k39vbW3FF198IVI3pCe7d+8e9u7da7LGv08YhgTFi9SRfOkbddiZ96bUbZhkabhpZ+QQ7mmOFMHKVbUayYO1jcHKfIbnFWiyZR+obLQn/x0UldMkkAAQ4KWEWplqtq5Ak91pYKW1rA33FiIgtKpWwzxuBXoP5n371pAizLQzO/PeFCS43Rbp9BWSByob7c3P6hahqZU3i83WqJWpULj5iNDNr8kxUNlo++EVgh6bh85tk+yxf/H9Px749xOXdkv6Omw/vEI2AfM+iiCmOpZjqzsqqTqNzQeW4JXNcby+F8pIWo23Zh/Bq2k7JB2TCOkMl/EpwMv0pG7EMnStbJqDvSPGRP3WZI1WqzX73WlCyC9qa2uRmZmJUaNG4fRpyyfccXX0xOj+mfhj7HHMUe3CcN8ZVoWKEUIIIYQQQojc2cEOoYp4pA36B5aMPIsnBq5BP7chFq+PshMIIYQQIlcUqsyDhoYGLFu2DHFxcTh16pRlK7Gzg+eYgYj48H8Qk/sS/GaOgIOHM7+NEkIIIYQQQghh4uDhDL+MkYg5tABD98xF3ykq2DlY9hb6+++/x8iRI/Hiiy9Cr7f9H/YQwrc9e/aYnZU0cLpapG7kq+Kz07IIjzRFm1OEyr38fRB6+e1s2T9moD0oVczwJr7Dqy3VHm71HS/raqqslTwomqufPzgqdQukAxovOnf5belDBzqq+MzyHzN0pNnwnaxeb2uD2LqLH5fvlrqF+7Q5Rbhx6KLUbfBCm3vBbI1/ikqETh4kdYivOdqcIpRuFi5UqPZMmaTHftnWE/dDjPVF12QxMcW1/YVSt3AfS4gry7HVHbTom1G59yxOzdqMvMnrmEJwWfilqBC3bS5Si9+AMjMJClV/XtZLbEdTZS1TnVNvF+Z1tuiboc0pwrmlu5A9+LX7QbUXVu3rct+9sGofCpfsxMkZG3Bo9Jv40v8VlG/Pl03Qu1R6wnFp0LLdZ+94TtAXXcOpWZtxcsYG3t9PaHOKcHLGBpyatbnH73+W8H98GOydHU3W7N4tn/cbpPvKy8uDVmt68o2EyKdgBzuROpKvYxc+lUXYpSkFmmycuMTP2PHZ8bdk/3iB9mBlIYJZu8JnWJs1CjTZ2P/f93hZl05fIXlQNFdfn9kodQuyMTryKaa6cgHCIbV1V6xavuom/xN0lGrZ7tWkxS+Gm7N8Jjf+6vT7sglyLdBkI7vgA6nbkIUtB5dK3cJ9BZps/FCaK3UbVjuryTFbM0L5mAid/JrUQb7mCHlsllSdxqacRYKsm0Vu4Zb7IaFl1edlMdHD95fl8f0UoD3g1xyWY6u7aDToceLSbry9ZyZW7HgMuYVbeFmvWpmKV9N2YPPCUkweuQChvkN5WS8hfMv94UOmurT4xcI2wiOWcQ6AIBPFWOLOXbaJrq/cOCdwJ/KVEJFmtobufRPC5rPPPkNkZCQ2btxo9jcHXfF2CcWkAavwyojTSAl9Hd4uoTx3SQghhBBCCCHy5+zggZF+GVgQcwhzh+6Bqu8U2Ns5WLQuyk4ghBBCiNyY/kUCMevbb7/F888/j4oKyz6QtHOwh0/aMAQuHAvXQTRrMyGEEEIIIYTITe+4EPSOC0HTTzpUrj8K3Z4f0XaP25exWltb8cEHH+Cbb77Bf/7zH6SkpAjULSG2x9yXgu17OcJvQqRI3chTg6YaFywI0vVLUcE/RQW3AX3hHtZ+38k10KvTWoOuHq2GFjSU6tB4pQbXc4osCpgpmP8R+o2PhJOCPTipM5oNh60K/IpaORWewwLhGtAH9i6OnT7uFn0z7t5uQsutJtwu0aLmpMbibRat2ofY92Za/bjNqdx7lvl18UtRIXC6Gr3D/eDsp4Czj8cDf2+qrEXzdT20uRcsDkUsyToAn9GD4JMYbtHy99fzz4MWL/vwa+3Y27XT16Hj691UWYvas+VWhUFqc4pQe6YMXiPoi9VSo/Gia6w9hs5OgN+ESLgGesGpj+uvngODrh5365pQr7kB7cGLFj/2C6v2IWRmvFWPXZtTZNWxG7M2Hb0jA+DirxDscfZUlpyfOtvfjMebvuiaVWM1X9ckUmrRNzM9/t6RASJ084vaM2VWhfgar1GNx2Jn5+6mytr7Y27l7gKLrkv5uk55WIu+CSXrzId2sF6L3b5YZVFAc/XRYrgGe+PSmm+Y6sMXTYTP6EFwD/Pp8jnXF12zePwryTqAsLljfvU4peA5LNBsTUnWASgzf2PTY4Qp+qJrqD5abNH7SFOiVk6F79jB3T6slfDHbUBfszVNlbW4tq+Qt/3VOKb6pagw8IWxvJ8HiDywBnt7KH3Rom9G+Y583sfEzmj/3/20qJVTocxMEnx73YWjuzN8xw0xec13+PBh1NTUoG9f8+MKIZZiCTCJC58iQifyVlWrsShMV61MxQjlY/DrEwa/PmEAAB9FUKe1+kYd7txthvZWKbS3SnFG861Focbr98/D8LBkq8JCvzr9vlXhZBlJqzGgXzS8e/eHk4Nzp4+50aBHo0GPBsMtVNYU4+LVExZvc/vhFVjw+AbBA1JPXNrN/JqolakYHfkUAvsOhpe7PxRuD35PWqevQG3DdZzV5Fgc4Lgn/x2oQsZAFTLGouWNvvj+HxYv+/Br7eas6PR16Ph61+gr8FNVgVXBlQWabJRUnUZ4wEiL19FdhPnFMNWd/TkXamUqr9u+Wm3d5E0/VRXw3tPFq2z3d2KV8vnuSknVaasC2+elZCHYNwpe7v6/Gm/1jTo0GOpQdbMEZ3/OZR5n5RwsKyZLxnx35z6/eh2MY2B59Xmrxj8+zvFSajTomR57sG+UCN08qKTqtFVBvsZrPuOx2Nn5UKevuH/dc/zi5xZd5/F17u+oobkOe/OzzNaxXttcrb5gUUDz+bIj8FWEYGfem0z1afGLoQoZA78+YV0+3+XV5zmNfR3tyX8HqeoXfvU4pTCgX7TZmj3572DKI3+w2fGBRVn1eZwvO8L7JCcZSasxNHQchSgTm1BWfZ55TJPT9S5fahuud3lPRUzaW6VStyB7of2Gwa9PmMnnavfu3cjKyoKdHU3kRkhnKioq8Pzzz+Pbb7+1eB393aMxLuhPGOI9EXaw57E7QgghhBBCCLFtIb3jENI7Drqmn3C0cj1+1O1Ba9s9Tuug7ARCCCGEyAmFKluosbERy5cvx/r169HW1sZ9BfZ26Pt4FIL/PB6uSum/YEIIIYQQQgghxDTXQT4YtG46ghf/BpXv5+HGJwVou8stXPnq1atITU3FvHnzsHbtWvTu3VugbgmxDQ0NDTh27JjJGt+kIXDs3T2Drlhd5xgiF7VyKvxTVHBX+jIvYww/cw30AhLDEZIRD33RNVzZdoJzqFrduatWhRbp8kosCrrhGvDlpHCBk8IFroFeUKj6I3BaLCL/MgU38zUo257PKbxPm1MEzYbvELF0Eue+uWAJMPRLUSFi6SSzz4NroBdcA73gNSIUyszf4MahixYFJJ6csQGpxW9YHEinyyvhvI+Fzk5AcPojnAKNH369/VJUUGb+BnXnruLnD45aFNaozb1AocoSo/HCOuqNz8H7kQFdBu4bOft4wNnHA+5K3/Zj54VxuLrrtEVhtzfzNfBLUVnUr0FXj1OzNnNejjVQr7PHeT2nSJTwNQB44vq7Jv/+pf8rvKxHKqzHXcfjzS9FhdCMeIuDFutLtDY9TjddvclU5+Iv3g/DW/TNTIHCnQlfNBH9p8Qwjb3G6xTjmGvpdenPHxyFZ3Qwr8G55sa+0NkJGDArgdO1WMDU4ZzDHi+s2ocWfZPZc5B643PwSQw3G3Zs7McvRYUBsxIser5vFZRZPMbzyTihjDlNV2/CqZuFA+vySnDty0JeJwYwjsXe8cpuG0JNuGso1THVObj26vJvBl09Kj47Ldi1ljHc1i9FhfCXk236moD8Wu3Zcqa6ek015/dsfLiwah9qTmoQ8+5vZTHhgC0ImBJt8nW6e/cuDhw4gGeeeUbErkhP8/XXX5v8ez/PUIT2GyZSN/LFNfQuI2k11MpUBHgpmZcxBrb5KIKgChmD8dGz2gOTfviQcxBcqbbQ4rC9ovJjFgWVcQ0jM4bf+SAIob5DkRAxHc+OXYFLFSdw8NxHnJ7zAk029v/3PaQnvsa5by5YwhbVylSkJy43+zz4KILgowhCeMBITHnkD/ihNNeiMMe/75yGzQtLLQ7QKyo/xnn/So6Zg7FDn+EUaPzw661WpmLKI39AqbYQX5/ZaFGw5FlNDoUqAwjwUkKtTDX7HOYWbsHTo5fxGg55RmN5sA/QHgDJ53Grb9Qx78+B3oN52641Gg16pjDTh6mVqXh8xHyzY73CzQcKN5/7+8mTj/4J3xd/wXsgZWc+XlJj8u/PrmWbOMTceqTEeu67PwYqgqBWpmJ89CyLX4fKm8U2O/ZV69ne03q5+wvcyYMsPQ6B9mDfR4dMZbr+8VEEPXDdY+l13tdnNiLML4a38FxzQdfJMXOQPPx3nK5t4odMw3c/fsRpH99+eAUamuvMns8WTtmEoSFjzZ7PjP2olalIHv47i57rn6pO8x7+bwnj5CzmVOvLu2UwcFH5MeRf/sKqSV8eplamYkL0c4gISujWQdSk+2ENngdgU9cLrPdOquvKZfG4rtw4J3ULNiEufAq+/O/6Lv9+9epVnD9/HsOG0X1HQh722WefYf78+bh5k+37Uw/zd4/C2MCXEdV3MuxAweWEEEIIIYQQ0hUf10GYPmgdfhO8GHmV76PgxidobbvLaR2UnUAIIYQQOaBQZQscPXoUv/vd71BaasGMqnZ28Jk6FMFLx8Ml1Jv/5gghhBBCCCGECMo5xAsD1zyB/pmjUb7mIGq+LAI4TLbT1taGDz74ALm5udiyZQvGjh0rYLeEyNuRI0dgMBhM1gRMiRapG3lq0TdzChhK/Opl3oKCFKr+iF4zA/2fiMHJGRuYl7v2ZaHFocoGXT2nbQHtIY39p8aYDQVl4aRwgV+KCn4pKujySjiF7ZZkHYBfcpSkQU1x2+ZaFGTnpHBB4LRY+CSGo3TzMc5BqeU78qHMTOK8XaB9f+FCvfE5BE6LtWhbD3NSuMAnMRw+ieHQ5hRxDmstyToAZeZvKFxOIjReWC580USEZsRb/Dy4K30RsXQSfEYP4vwaaA9etDhws+Kz05yXiVmbjpCMeIu25670hTIzCd5xYShZlyt6EFt3ETo7AcoXxnGa7KEj10Cv+69D3uR1nJa19fD72yVapjo+xjRWNw5d5HwssE74YIql16XanCLcOHSRt2sHU6wJ7XRSuECZmQSXAE9Ok1yYumazZqw3Pt99hgWhcMlO5uVqz5bLIlSZ9THfLtFatV/KhUFXD11eiUUTpJjCdRIKMcl1AgHya10F/+vySjhfR1rKGK4cvmgivX/rRljvW4g1QUpntDlFyBm6AuMOLpHlWCo3/o8Nhb2TA1pb7nVZk5ubS6HKRDBlZWX46aefTNY8OuRJkbqRr0aDnlMg3OqZ3/IW8hPqOxRzJ65F/JAn8fed05iXy7/8hUWhyvpGHaftAO2Bko8OfhI+iiDO23uYm7MCamUq1MpUFJUf4xS2uyf/HcQqUyQNWHo1bYdFwXtuzgokREzH0JCxyC74wGy44cO++/EjTB65gPN2gfZ9hYuFUzYhIWK6Rdt6mJuzAqqQMVCFjEGBJhtv75nJafk9+e9gyiN/oCA8AKMjn2I6Vq7qLlocuP4wfaPOojDsh+n0FbyMH0B7+CWLtPjFstlvfijN5fw8zkvJwvjoWRZtz0cRhMkjF+DRwU9iy8GlvLyGPVFyzBw8PjKT0+QJHRlfh8GBj2LFjsc4LWvLgfKVNcVMdXyNCawsOQ5ZJ1EwxdLrvAJNNn4ozeXtfNwVtTIV0+IXWbS/uTkrMHnkAnh5BHCaNMLUNVBa/GKMj55l0f5hfK7D/KKxKWcR83I/VRXIIlSZ9TFX1hR3m1BlfaMO58uPWjTpiClcJ4IRk5wnESDyUKDJZj5fLZyySeBu+NWbceKX4xc/F/z8x4L1HlFDc53AncjbI4NNhyoDwIEDByhUmZAOtFot5s+fj71791q0fD+3IZgY8hcM9prAc2eEEEIIIYQQ0r15OYfgiYFrMLp/Jg6Wr0FRzZdoA2UnEEIIIcR22EvdgC25d+8e/va3v2H8+PEWBSp7xAZh6O7fI/xfMyhQmRBCCCGEEEJsnMsAbwze8DSG7Z8HRTz30KSff/4ZSUlJePnll9HS0iJAh4TI38GDB03+3c7eDn4To0TqRp7qGcP0AGDcwSWCBAf6JIZj3MElzPVlW0/AoKu3aFtcAjP9UlQYf3w5lJlJgoQJ+iSGI/a9mYhaOZV5mZJ1ubz3wcIvRYVxB5dYHWLn7OOBiKWToN74HKflLqzah6bKWs7b0xddQ9nWE8z14w4uESwU0fgcctV09aYA3RAWNF5YZtSuTEQsncTL88D1/AC0nyNa9M2ct9VUWcs5EG3cwSUWByp35DUiFLHvzUT4oolWr6uniVmbjug1MywOVO7Ia0Qo5/2N6yQBclNzUmO2Rsz9skXfzDm0NWrlVMRtm8tbkKAl4w7fQbOdCZ2dgJh3f2v1tXjgtFjErE23up+Ytem8jPUhGfHczm0yOuZYjg2WY0zO9EXXoNlwGDlDV/C2n/ulqBC3bS5Si9+AMjOJQkBJlyx9zw8Amg2HRQtU7qgk6wDO/mEHGjTVom+b8MuS+w9SOjJhLfRF16RuQ/acPF3h/ehAkzUHDsjnWoN0P7m55u/TjJBBiJjUKm+yBQACwFuzjwgSdKgKGYO3Zh9hrs8t3AJ9o47zdo5d+JS5Vq1MxbtzT2HyyAWChB+qQsZgweMbkJG0mnmZvflZvPfBQq1MxVuzj1gduqdw80F64mucA7C2H14Bnb6C8/bKqs8jt3ALc/1bs48IFmBlfA65qtaXC9CN7Qnzi2GqKyo/xts2tXVX+FnPLe6/S+jK2Z/ZPn8YFKDmbZvWaDToOYdFvjX7iMWByh35KILwatoOpMUvtnpdPc28lCzMnbjW4kDljsIDRnIe+7gG78vJxavmPx8Xe5+05DjMSFqNV9N28BbKyvU6DwDvQbMPS46ZgxcfW2f1dW1CxHTMS7H++mxeShbSE1+z+ppzfPQsTteWcjreWI4NlmNM7sqqz+Or0+/jxX8N4W0/VytT8WraDmxeWIrJIxfIMlCZEHOqajWcJqEZHpYsYDf88/McwFRXoMlGWfV5YZsxo4RxIhdAXucRKQwKGIE+7v1M1tC9b0J+cejQIcTGxloUqOzm6I1JA1YhMzqHApUJIYQQQgghxAreLgPw9OANmDdsP0IV3H+TRdkJhBBCCJEKhSozqqiowPjx47Fq1Srcu3eP07LOIV4Y8p9nMGz/PPSOCxGoQ0IIIYQQQgghUvAYHgjV57/HkE3PwDmEW2BRW1sb/vnPfyI5ORmVlZUCdUiIfJkLKvAcFoReXu4idSNPty9WMdWpNz4naOCVQtUfo3ZlMtffvsTWd0dcAjPDF01E7HszeQlpNMVJ4QJlZhJzyLA2pwi6vBJBe3qYX4oKMe/+ltfXP3BaLOdg5ervLnPeTvVR9hAOofdxgPt+DthemFN3QeOFZcYdXAKfxHBe16lQ9UfiVy9zWsaSMPJr+wo51Y87uITXMcNJ4YKIpZMoWJkD9cbneAm17qgnjdMt+mamiQd6D/EXoZt2Nw5d5FSv3vgclJlJvPehUPXnHKxce6aM9z6M/FJUiF4zA84+HrysL2DqcKuW5/vYU2YmcZq4Qy7HHMuxYWnQv9R0eSU4t3QXjkxYy3nCga5ErZyKcQeXIG7bXPilqOCkcOFlvaT7aq6q47yMQVePS2u+4W2/tYQ2pwiHRr9JAbc2rvm6XuoWOKNgZTY+Y0y/Xy0vL0dxMfu9JEK4MPdZhWsvD9kET0rpavUFprqFUzYJGtAV6jsUr6ezh2pc1XF7P6vTV2D74RVMtWnxi7Hg8Q28BEqa4uaswOSRC5hDhgs02byGxrJQK1Px4mPreH3tEyKmcw5WPnflEOftnC9jD3AUev8GuO/jAFBjQZh0dxTgpWQK9d6T/w4aDfxcV1bX8RNofeXGOV7Wo2/UMYeEDxIg/N4SP5Rym4TyrdlHeD8OLQly78kWTtnES6h1R5aMfZYE6Uut0aBnOkaDfCJE6OYXXI/DhVM2YfLIBbz3Eeo7lHOwMpdQRy7UylTMnbgWCjcfXtYXP2SaVcvzfdxNHrmA00QYcjneWI6N3MItvJ3nxVZUfgybDyzBsq3jmN+TmJORtBpvzT6CV9N2QK1MhZuzgpf1EiK2RoOe03GxcMomm9vfFW4+zGNz7g8fCtuMGUfPfyLp9m2JHewwNGScyZqjR4/CYDCI1BEh8nT37l385S9/wcSJE1FVxe375472zhgX9CcsUucjPuB52Ns5CtQlIYQQQgghhPQsgR7D8XvV53hmyCZ4OXPLy6PsBEIIIYRIgUKVGezfvx+xsbE4evQop+XsnBwQ+MexGH5oAbwnRQrUHSGEEEIIIYQQOfB+PBLDDy1A4MIxsHNy4LTs0aNHMXz4cHz11VcCdUeI/FRXV+PHH380WWMuSKMnaGQMJeM7JLOrbYTOTmCqrfuR+4edrIGZ4YsmImLpJFGDvriEDP/8Abd7iNYwBirzFeLXEddg5cIlOzmH0rGGaYXOTkDgtFhO67aUT2I4p+DAek21gN2QrtB4wV3iVy8LFkzuNSIUUSunMtffqW3gtP4WfTOn8D2+A5U7omBlNuqNzwk2bnO5HgFsM3QPAO5U32aqcwv2FriTdi36ZhTM/4i5Xsh9AOAesK3NZQv+skTMu7/ldX1OChfOk1sYhS+aKMjzPvCFscy1cjnmWI8N1mNNagZdPSr3nsWX/q/g5IwNTKHr5vilqBC3bS5Si9+AMjNJ8AlMSM/kGtg+AZ1BV4/CVz5FSdYBiTtqRwG3tq3Rgkla5ODIhLUw6OqlbkPWfMcNNltz4IA8xhHSvbS1teHQIdMhrJHBiXCwdxKpI/liDVIbGsL+HsJSqpAxSI6Zw1TLNaj0++IvmOrS4hcjPfE1UUOauIQMf31mo8Dd/MIYqMxX6GBHXIOVN+Us4hyixxrMlRwzBwkR0zmt21KqkDGcgg6rajUCdmNbRkc+xVRXeZOfyRouXjX/Hp1lvOIrOFFbd4WpLjlmjiDHrCXW75/HXCtEoLJRQsR0ZCStFmTd3cnCKZsEGwu5nN8BoLbhuiB9CKmuke2zZV9Pbj9Mt0ajQc/pOBRyHwC4B2yf1eQI0seLj63jdX1uzgqLw9vT4hcL8pw/PmI+c61cjjfWY4P1WJMDfaMOJy7txrNr++LvO6cxT45gilqZilfTdmDzwlJMHrlA8ElBCBHD/v++hwJNNnP98LBkAbsRzgjlY0x1uYVbBJtYwJyi8mO8jFU9ydBQ06HKjY2NOHnypEjdECI/5eXlSEpKjQBV0gAAIABJREFUwhtvvIHW1lZOyyo9x+KlmIMYH/wqejm4C9QhIYQQQgghhPRskd6PY8HwQxgTuBAOdty+P0XZCYQQQggRE4Uqm9DW1oY1a9bgySefhE6n47SsIj4U0d/OR8jSCbB3pS/UE0IIIYQQQkhPYO/qhJBlyRj+3QJ4jlVyWlan0+GJJ57AsmXLOH8hjBBbdOLECbS1tZms8RlrPkiju2MNHBIiVLczA2axhRjWnOT24+2mylqmwMzQ2QmIWDqJ07r5EjgtFjFr083WaXOKUHumTISO2sM9hXztA6fFcgoPrTt3lbmWS4AV637Hl9CMeFG3R7ih8YK7qJVT4TUiVNBt+HMII+cavH8zn/2cMmpXpuChkMrM33AKX+9pxAjC53JeuNd0R8BOhNNUdYupzsVfnOAmLud4oYJ9H+aTGM58nVKSdYDz5A8sRu3KFORazNIJU8LmjuG5k3ae0cHMtXI55liPDdZjTWo5Q1dwCjY3JWZtOsYfX464bXPhl6ISdfIJ0nNdfjsb2pwiqdt4AAUr2y6u95y6ErM2HaN2ZSL5zF+RfOaveOL6u7/6J7X4DSSf+SsSv3oZ6o3PcZrcozOX32YP/eiJPIcFwamPm8ma/Px8kbohPclPP/2EGzdumKwZZib4pKfYk/8OU51YIZ3Jw3/HVHeBIfDUSKevYAo2TY6Zg/TE15jXy6eEiOmYl5Jltq5Aky1awFJ64nJBX/eEiOlIi1/MXF+qZZuUDwDKqs8z17Luc3yZEG3ZpEs9XZhfDFNdceX3Vm+r0aBnChNj3XdYw+tNYQ0XjR0oj5A5LuPUq2k7BA+FnDxyAadQ355GjHB5LmPtnZYm4RoRyM3bbPcivNz9Be7kF1zOm0KF+z5MFTKG+dy/J/8dzhMqmPN6+l5Brm0snXwkVf0Cz520Yz1nAvI53liPDdZjTQ5e/NcQTsHmpsxLycK7c0/h1bQdUCtTRZ0AhhAhHTq3jfmeBNA+jtvq/q8MUDPX7s3Pgr6R2++draVv1OHvO6eJus3uYNiAJLM1FKpMeqq8vDzExcXh+PHjnJbzcOqHtEHrMCvqY/R1CROoO0IIIYQQQgghRk72rkgOWYYFw7+D0pPb5x2UnUAIIYQQsVCochfq6+sxY8YMzhdk9q5OGLBqElS75sBtSD8BOySEEEIIIYQQIlcuYX0R9fEsDFqXBgcPZ+bljJP7TJ06FXV1dQJ2SIj0Tp82/QNJ+16O8I6jLzrKjWuwN4D2sLyolVPvB9CM2pWJ8ceXI/nMX5FyfjXits3ltN6b/73CVBf+xwlcW+ZVSEY8U5CmNveC4L3ErE0XPDgUaA8PZXXtS/YfXN4u0TLVhc5OEOVxduShZL+v26KXx48HexIaL7jrP5X9B7GWclf6ChY0XLadLTQrdHaCxUGkXDgpXCQL7LYFYhx7ClV/5v2Na4i3XLD27RroJXAn7bic44UK9u0Ml4kQ6hmvPVj5pagEG3OcfTw4j6nqjc8JNtmGk8KFOcDaoKsXpAeuWI8NWx0juAqdnYBRuzKRWvwGQjLi4a70lbolYuO4hNpeWvMNyrayBxmK6ciEtWjQVEvdBuHImv0pfNFEjDu4BE9cfxchGfHwSQyHa6BXl+cNJ4ULXAO94DUiFIHTYhG9Zsb9+16WvP8p23oC5Yzvb3oiOwd7+CQOMlnz3//+V6RuSE9i7rMKoD3UjciPryIEQHu4X0bSasxLycLr6XvxevpevDv3FNa/UIh/v3QZr6btYF5n8bVTTHVPPvoni3rmy/joWVArU83WsYarWmNeSpbgIacAMOWRPzDX5l/+grm2sqaYqS45Zo4oj7OjAG/2+w4NzfTdAqMALyXT8cESoG5Otb7cbI1amcq879Q2XLeqn0aDnjlsblDASKu2xRfWcUqtTGV6Xfkg9RgvZ2I8N6G+Q5lf6ys3zgncDf9Ye/ZRBAncyS+4nDeFCvftzPjoWcy1lTfZzucs1MpUwa7/FW4+nMeyhVM2CTZ5hZuzgjm8uq5RHvfQWI8NWxwfLJUcMwevp+/F5oWlGB89CwFeSqlbIoRXJy7txqacRcz1yTFzbPo+DpdroQJNNj47/pbAHT1I7O11F94eAehv5j0+3fsmPdEHH3yA8ePHQ6vl9n0eVd8p+MPw7zDcd4ZAnRFCCCGEEEII6UpflzDMivoYaYPWwdmB/bcLlJ1ACCGEEDFQqHInNBoNRo0ahd27d3NarvcjIYjJfQkBz8cDdnYCdUcIIYQQQgghxFb4zhiOmNyX4JnALRj2q6++wqOPPopLly4J1Bkh0vv+++9N/t1zWCAcXJxE6sb26YuuibIdJ4ULnrj+LiKWToIyM+l+AI1PYjjclb5wDfSyKMytcneB2Rr1xudECw40ZeAL5mfTLck6IGignF+KCiEcQgSt4aRwgXrjc0y1ZVtPMD9u1hCu/k8IHwb7sF6+vZlrS7IOCNgJ6QyNF9xErZwq2nPhL0CocoOmGtqcIqZaMYO0Far+iFo5VbTt2Qpb39/khEtYpdAMunrm8EIhg3074xrohdDZCUy1ty9W8bptljHeGn1HcfvRu9Ch8m6Mx3ZzlW19yVFOx5oQYtamY/zx5YheMwM+ieFwUrhI3RLpJlivz7Q5RZzeM4Uvmoi4bXMx7uASJJ/5K564/u6v/kktfgPJZ/6KxK9ehnrjc8znga4UrdqHFn2zVesg4mmqrLVoudDZCRh/fDkilk6yeuIm4+QHcdvmcp5UDAAKl+y0+HH0BF7qUJN/Ly4uxq1bt0TqhvQU5j6rcHNWIKjvEJG66R7Kqs+Lsh03ZwU+XlKD9MTXMHnkAoyPngVVyBioQsYgwEsJH0UQ5wC64xc/N1uzcMomUYMOu/L4iPlma/bkvwN9o06wHtTKVE6Bh9Zwc1Zg4ZRNTLW5hVuYH/fFq2z3POKHPMlUxydPN/YJcViDdHuK0ZFPMdVZO16xhHJHBbe/Z8lIWm229mq1dZMwsoaKJsfMESygkwsuIdDpicsF7uYXPoogpterp8lIWi3a+W+E8jFRtiOFC4znHbHoG3XILdzCVCtkuG9nfBRBSI6Zw1Rr7fjZEcs1ljWM5wVWQ0OE/SyC9biuref3Mxahye1YE8K8lCy8O/cU5k5cC1XIGLg5K6RuiRDenbi0G+v3z+O0THeYIGNCNNv39ID29787895Ao0EvYEft1+47895gvm4gvxbe3/TENhSqTHoSg8GAefPm4cUXX0RLSwvzcu5OPnhmyH+QPvjfcHXsI2CHhBBCCCGEEELMGe47Ay/F5CLMk9vnHpSdQAghhBAhUajyQ44ePYq4uDicP8/+RUl7Z0cMWDUJQ3f/Hi4DvAXsjhBCCCGEEEKIrXEO7oOoT2djwN9SYe/syLzc5cuXkZiYiLy8PAG7I0QabW1tOH36tMmaPsNDROpG3vwYAwMvrflG0FBOIbEGZvYbHylCN+axBtY1ltUI1oPQIX4P4/Lc377E9mO66DUzkHJ+NZLP/BXjjy/HqF2ZGLUrEzFr0xG1cirCF00EAHhGB1vUszUobE6+aLzgznfsYMHW/TC3AX2Z6i6s2se8znrNDaa68EUTRQ/S7j9V/NB3uRNzf+sdGcBU13BFuOAgIbGMdWIFe3MZo6QYf4PTH2Gqu84YAMpK6GsUz2GBzLXhiyYKHmbNOsbLCcsxwhoMa0tCZydg1K5MpBa/gZCMeLgr2UO4COHbqVmbzdb4paju77MRSyfBL0UFhap/l9d2TgoXuAZ6wWtEKAKnxd5/b8k6GdDDtDlFKN+Rb9GyRHwNpdyv7eK2zUX0mhmCjId+KSokn/kr8/07o5J/HuS9l+6iT6zpe8Is95UJ4erUqVMm/z7Qbzjs7OhrtkB7gC6LnXlvChrkK5SqWg0KNNlm64aHJYvQjXmqkDFMddq6K4L1IHTo4MO4PPdXdReZ6uZOXIt/v3QZ618oxLtzT+H19L14PX0v5qVkISNpNdLiFwMAwvzEvxdIwXiWY329NFXmJ3E0pUJn/oeeA/pFP/C/ppzRfGtVP6yhopEcAz2FwhoCrVamItR3qMDdPOjRweIHqcvd0NBxom0r2DeKqe56banAnfCP5VpDzFBvLtcJUlwDjR36DFOdteNnR0Kf81nOB0Zp8YsFD7L26xMm6PqFwHKMsBxrtig5Zg5eT9+LzQtLMT56FgK8uE3QSYgtKak6zTlQ+fX0vbKYBMlaEUHcrtf35L+D97/OhE5fIUg/On0F3v86kybzsZLSP9bk3ysqKnDt2jWRuiFEOjdv3kRycjL+85//cFpO1XcK/jD8O0R6TxKoM0IIIYQQQgghXPVxDsbsqE+ROuBvcLR3Zl6OshMIIYQQIhT2NKceYPfu3cjIyEBTUxPzMq5KH4RveBruKn8BOyOEEEIIIYQQYtPs7RAwbxT6jBuE4sydaLzEFg5XU1OD5ORkfPjhh3jmGbYfihBiCzQaDWpra03W9IkRP0hVjvqOUjIFfWlzilD4yqcY9uZ00UMlrXXrR/Nf6I9Zmy6roNuYtekoXLLTZM3NU6XwGhHK+7b9UlTMQa18cVK4MD1mAKj7sZK5v47hf/fDjTosG7GUvgBNHkTjBXcKVX9B1tsZ9zD+f9Rbe7acqa7/FPFDTVwDvRA6OwFlW0+Ivm25EnN/c/FnC5Up23oC0WtmCNwNv5oqTV8nGzn1Fmesu3mKLZhCqvHXI9wPQHuwsJPCFU69Xe4HALsG9IG9iyPsnZ14DR1u35Z8zjU+owdJ3YJNa6qstbn3UF1Rb3wOgdNM/yCXELnwS1Fh4AtjeXl/6+zjgcBpseg3PhJV+35geu/a0YVV++A7drCo1zLEMo1XuE1IM+7gEsFfV9dAL8S+NxOaDd+hJOsA0zJlW09gwKwE2uc64RkdBDsHe7Tda+2y5syZM0hOlkegKbF99+7dww8//GCyRhmgFqkb+YsKTmAKJyvQZOPf376MORPW2FSYUam20GzNvJQsWQXdzkvJwqacRSZriiu/R3jASN63rVamMgc788XNWcH0mAHgyo1zzP11DCs0BtN1XDY98TWOnRKpBXgpoVammh2zzmi+xfjoWRZvhyVUzBhW6d3b/LVfgSYb+kadxQGaLMcGIE1IeGdYQ6BHRz4lcCe/5qMIQlr8YgqO60DMYGsvd7bf5eQWbsHciWsF7oY/rEGHrr16C9zJL4orv2eqk+oaKNC7fTLPtPjFcHfxhGuv3g+Mq04Ozujl6MJb8HBa/GJZXeuJfa3V3ej0FTb1fsSchVM2ISFiutRtECKKsurzWLHjMU7LZCSt7jbjppuzAq+n78Xfd05jXqZAk40CTTZeTdvBPCkW63rf3jOTt/X1ZEr/EWZrzpw5g/796XMD0n1duXIFkyZNwqVL5iepMnK0d8bEkNcQH/C8gJ0RQgghhBBCCLGUHewxKmAeBvUZh53FmbjRyPaej7ITCCGEECIEe6kbkIt169bh6aef5hSo7DsjBsO+eZEClQkhhBBCCCGEMHEd7IthX70Av5nmvxxpZDAY8D//8z/429/+JlxjhIjs4sWLZmv6jAgRoRP58zAGzTLQ5hQhd8T/onLvWRh09QJ2xa+akxqzNb0jA0TohB1LPxdW7RNk24HTpQnx6DtKyVQn1OMmBKDxgqvwRRMFWa+YWEPJpAoj85sQKcl25Ujs/c3e2UnU7Ymp5RbbZ5XG4GChsY5RrNcKfHNSuOCJ6+8iYukkKDOTEJIRD5/EcPgkhsNd6QvXQC9eA5UBwCtW+PcqXILqhQi1f5hrQB/Bt8E3z2GBTHWsx5wtKJj/Ec4t3QVdXgla9M1St0NIl6JWTkXsezN5nzDISeGCkIx4jD++HH4pKk7LXlrzDa+9EGGwTLRjJEagspGTwgXKzN9w2u+u7Tcf3NkTObo7wyO8n8kalnvLhLC6cuWK2e+LKv0pVNnIGDbLokCTjYUfxODEpd3QN+oE7Io/F6+anzgr2DdKhE7YsfSz/fAKQbYtRcgpAEQGj2aqE+pxE9vBso8WaLJRVWv+c4fOsC5nDHP0dGP7zFdbd8WifsqqzzPVqZWpnMZzIZ3RfMtUJ1UIdKwyRZLtylFa/GJRt9fLUT4T2vGpwXCLqc4YGiwG1vMl6/mXb27OCny8pAbpia9h8sgFGB89C6qQMVCFjEGAlxI+iiDeApUBYJAIE6pweX3F2BdYQv/lZkC/aKY61mPOVqzfPw+bDyxBUfkxNBr0UrdDiGBKqk5j2dZxnJZJjpmDySMXCNSRNFQhYywKR357z0y8vWcmCjTZFo8VjQY9isqP3V8X4UeIbxScHJxN1nAJmiXE1pw7dw6JiYmc9nMf10GYN3Q/BSoTQgghhBBCiA3wdR2MF4Z9hRF+7PeTKDuBEEIIIXxzlLoBqbW1teGVV17BP/7xD+Zl7F2cMPDNyfBNjxWwM0IIIYQQQggh3ZG9ixMG/t9UeIwIRuny/Wg13DW7TFtbG1atWgW9Xo933nkHdnZ2InRKiHCKi4tN/t3BxQnuYexhwt2Zh9J0iEhnCuZ/BAAInZ0AvwmR8FD2gzuHcGaxlW01H1Tg4q8QoRN2rP00VdbCNdCL1233GRbE6/pYcdmHDLp63sMLCQFovOBKjNDPjvjuv0FTzVQXtXIqr9vloo86VLJty43Y+1t3Ps/cqW2QuoX7uEzUIefrTb7xPd5ZS4x+7F2679cK5HTM8aFs64n710wxa9PRd5SyRx2fRP7its3lHHjMlbvSFzHv/haFr3wKbU4R0zLanCLUnimD1wi6vpOz6DUzMOTVVLQaWtDafBdNVe3hOI1XatByuxkt+iaUZB0QNVDZyEnhgmFvTmfe50qyDiBs7phufV1rKYUqELcvXe/y75cvXxaxG9LdmfusAmgPPCHtAry5T4iwfv88AO0BR7EDkxHgHS6bMM+H5RZuMVvj5e4vQifsWPvR6SvuB7vyRaqQUy77j75Rx2vQIrEtrPtoqbbQonGp6maJ2ZqOQbRuzgokx8wxO9ZU15UjPGAk5340VQVMdVIFoj+s0aBHgSabqVaq84af5wBJtitHYgTNdtRdx+76plqpW3gAl4kv5Hr9xre+PF8vWYvv67fOmAt3tGVyO+b4kFu45f61xLyULEQGj+4xxyfpGU5c2n3/PgIrtTIVT49eJlBH0spIWs18zdxRgSb7/nJp8YsxKECNvooguDv36fTcom/UocFQh5u3r6Go/Bj25L/DtJ15KVnYlLOIc389laNDL/TvOxhlN37ssobufZPuKicnB0899RTq69m/gxTjOwNTBr6JXvZuAnZGCCGEEEIIIYRPTvYumDrw/xDsMQL7S5fjbqvB7DKUnUAIIYQQPnXfXz8yaG1txQsvvIDNmzczL9PLX4Ehm5+Bx/BAATsjhBBCCCGEENLd9fttLNxV/rg89xMYKm4xLZOVlYXq6mp8+OGHcHBwELhDQoRj7su/7mE+sLOnD8CA9iAgvxQVcyBLRx3DtAAgfNFE9B7ij97hfnAN9oaTwoXPVi3SVMn2IyZbDa5rudXEe+9SBqJFrZyKC6v2ma0zaPU2GQpk0NXjVkEZtAcvSt0K6QSNF9z16mt7x2FHxoA0czyHSfd5jbOPh8Xn6e7G1vc3ObnXeIepzjWgj8CdAHfrmpjqwhdNFLgTeXHq4yp1C4QB6zHCeszZosIlOwG0T7jT/4kYeEYHy+J9IOm5xAy6dfbx4BysfHXnfylU2QZ0vN9w/x5J4i8hnxFLJ4nd0n2ugV6I2zYXp2axfQ/tVkGZ4CHjtshjoOl7XxQsQfhkbn9ydOgFH0WwSN3IX4CXEmplqkWBPh3Dv4D2UJ8gnwgE9h0MX0UI3JylnShNp69gqhMj2I4L1n4aDLfgA357lzK8LSNpNbYfXmG2rrbhuk0Gc+obdfip6jTO/pwrdSs2jXXMOn7xcyRETOe8/p8YQowfDqIN84s2u8zFqycs6ueM5lumOqkC0R9W18g2qWJG0mqBO+maws3H4vNed9PbBsdSOTK0sE3u5t1bnHsnDYY6prqOAfHdnbuz8J+7EOuxHiOsx5ytMgaZJsfMQfyQJxHmFyP5+ypCrGFJoDIAzJmwxibf97EI8FLi1bQdeHvPTIvXwRqQzFVyzByMj55FococBXgpKVSZ9Dj79+/H008/jebmZqZ6ezsHTAheisTABQJ3RgghhBBCCCFEKLH9fgt/dxU+uTwXtwxs38eh7ARCCCGE8KHHhirfu3cPc+fOxdatW5mX6T0yGEM2PQOnfvTDcEIIIYQQQggh1nMfGoDob17E5Rc+hf7kFaZltm/fjrt372Lbtm1wcnIStD9ChFJcXGzy7+7KfiJ1YhsGvjCWl7DGkqwDD/y7X4oK/ikq9I4MgEe4nyThWg2lOqa6L/1fEbgTYdyp5fdHWlErp/K6Pq48GAOd+X7cQmmqrEVDqQ6NV2pwPaeIQlFljsYL7lz8bftHk41XapjqxAiWNaXvKCWNH7D9/U1O6jVsgSL2LsJ/zMsabu4VGyJwJ/IipwD/nhZozQXrMVKvqYafwL1IreOEOzFr09F3lFLSyVpIzzRqV6ZogcpGxmDlnKHmA/eA9mNF+cI4Oj6IVfxSVMwTr2gPXqRQ5U6YOwZra2tRXV0NX186Von1zH1W4d8nDA72PfYrtp16fMR8XsIlHw71UStTMUL5GIJ9oxDoPVj0MDDtrVKmumfX9hW4E2HUN7FNWMdKypBTgD3Qme/HLRSdvgLaW6XQ3irFGc23FODKo9GRT5l9Pgs02dA36jgHsbGEk/V9KPg82DfK7DK5hVvw7NgVnMbBqloN036jVqZKGoje0c3b15jqpO53hPIxOiYBeLn7S91Ct1BVq2Gqc3JwFriTdqzH4cMB8d2ZnCbQ6Elh1lyxHiOsx5yt6ziBzbyULEQGj5b8/EkIV5YGKr81+4isxm4hqJWpzBMLiUWtTMXTo5cx10t9D0FO+nsPMvl3ClUm3c3OnTuRkZGBlpYWpnpXxz54evAGKD3HCtwZIYQQQgghhBChBbgPxYvR3+DTyy/giv4k0zKUnUAIIYQQa/XIb3zfuXMHzz77LHbv3s28TL9n1Bj41hTYOdFsFoQQQgghhBBC+OPo7Yaoj2fh52X7ceOTAqZlPvnkE9y5cwcff/wxevXqJXCHhPDvp59+Mvl31uDWnsInMZw5jIUL7UMhsqGzE9B3lBJ9hgWJFiB0r/GOKNuRSt2PlfBJDOdtfZ7DAnlblyV69WWbbK7xSg3A4+O2VlNlLVqb76Kp6hYar9Tg1o8V90PliO2g8aLnabndzFTn6OkqcCemST02EyIkg66eqY71GoHwz0kh7RhIxJFyfjV0eSUomP+R1esqXLITQHvoZ2hGPLzjlZJMsEN6lqiVUyW71nX28cCoXZk4OWMDU/2tHysoVJlYLTQjnuk+XtnWE4j8yxQahx/iwTDhXklJCYUqE16Y+6zCn4KofkUVMgZqZSrvAZMFmuwH1pkcMweRwQkI84sRJRDM0GIbEwVa6sqNc1CFjOFtfQP6RfO2Lkv0Zgy/1d4q5fVxW0unr0DLPQNu3r4G7a1SlGrP3Q/AI8II84thqvup6jTUylTm9er0FUx1vooHJyJjDaat1pcj1Hcocz+l2kKmuhHKx5jXKbS6RraJ5ViPd6H49QmTdPuECMlWjsOeyt3FU+oWiEj+/dJlnC8/alGg7MM25SwC0B54OiH6OUQEJYg+YQ0hXB06t+3+vsvFW7OPcLpmtmWTRy5AQ3Md08QuYshIWs15UhrSztw9rurqatTV1cHTk64DiO378MMP8fzzz+PevXtM9b6u4fifiK3wdgkVuDNCCCGEEEIIIWJxc/TGrKiPsf/nZSi48QnTMpSdQAghhBBr9LhQ5ZaWFjz99NPYt28f2wJ2dghe8hsE/WmcsI0RQgghhBBCCOmx7JwcoHznSTgHeeLqO4eBtjazy+zevRvp6en47LPPaNZFYlNaW1uh1WpN1riH0ZeuHxb+cjLvocoPK9t64oGg2aiVU+EdFwaPcD/Bwl3qNWw/1CPtenm5S7p9F3+2H1uxBqHyqamyFi23mnCntgEGXT2aq+pQc1Ij+HFDxEPjBXeugV5St2CVC6vYPsdx9qEwVzmw9f3NFtk7C/8+sLmqjqmO9RqhOwidnSB1C4SRGMeIWJx9PBA4LRaB02KhyyvBtS8LrZ4kpOMkO1Erp8J37GAoVP35aJeQB/ilqBAyM17SHnwSwxE6O4HpuKncXYDAabEidEW6M+949vDPpqs34UTj7wPcB5q/N1xVVSVCJ6QnMLcviRHma4umxS/iPVT5YbmFWx4Im81IWo3BgY8i0HuwIKFgVbUa3tfZnXm4SnsfiDWYtunObYE7+TWdvgINhluob6pFXWM1auurcOHqCcGPGdK5AC8lUxD82Z9zOYUqa2+Vmq1Jjpnzq/HKRxHEtP7KmmJOAXHHL37OVKcMUDOvU2i19WzXc6zHu1CkHu/kgnXfJfzo5SjOxDu2chyKJTlmjtQtEEZiHSNiUbj5ICFiOhIipqOo/BjyL39h9cQbHSetyUhajaGh43pM+CyxLTvz3rAoKLgnBSobpSe+BgCSBiurlanISFpN98uswDKBW1VVFYUqE5u3ZcsWPP/882htbWWqD1XE49kh/x9cHWnfJ4QQQgghhJDuxsHOCU8q34GncxAOX30HbaDsBEIIIYQIp0eFKt+7dw+zZ89mDlS2c7RH2BtT4DdzhMCdEUIIIYQQQgghQNCiJDgH94Fm8T603b1ntv6LL77As88+i08++QSOjj3qLT6xYdXV1bh7967JGhe/nhPKxsprRCjUG59DwfyPRNtmxzDL0NkJ8JsQiT7qUAqv5KBF38Tr+pz6uPK6PqE0XNEJtm6Drh6NZTVovHoTzVV1zKGrhMgd3+MFEQ9NBkH4RoHi8uY+gI55W8F6jFxYtQ/KzCRhm+GRT2I4fBLDMWBWAqp+kzdOAAAgAElEQVSPFvNyPWxch1+KCqEZ8fCOVwo2sQ7pHvxSVMwT2Ax8Yaws9qfg9EeYQpW1OUUw6OrpPEus4qRwQfiiiSjJOmC29k5tgwgd2RZHd2c4ejjjbr2hyxpzk/YRwspcqHIfDz+ROrEt4QEjsXDKJqzfP0+0bW4/vOL+/0+OmYPYgckYFDASCjd6j8aioZlt0iRW7s59eF2fUK7Xmg++tZS+UQdt3RVU15Wjtr7qgX2UyMvoyKfMhirnFm7B06OXMY8pV26cM1sT5hfd6X/PSFptdn+p0F1i6gNo3xdZQ7t7WvAcH2xlvCO2gfVcQdc30vD3CpO6BcKI9RjZfngFJo9cIHA3/FKFjIEqZAySh/8O58uO8HKNaVyHWpmKCdHPISIoQZCJagjhQt+oQ3bBBxSozFF64msI8okQ9X6MkVqZihcfW0fXKVbq427+XqNWq0VERMT/z96dx0dV3vsD/7CEyTphyIQhBLI4BEImEgmIMSAghhAFI0Ea28sm5aJSSi0CF/VlodDWKwpykaugXKpsty1VsVQrsnhB2USIjZCwpGMIJISYgZAhK0H4/cFvECXJec7kLLN83n8m33Oe75yZs83yeTTohkgd7777Lp544gnhQOWkiNEY1+s1BLTX//NkIiIiIiIiUs/wHrPR2dATW+1z8N311n9bDjA7gYiIiNzjN1cN165dw7Rp0/CnP/1JqL5DqAF91jyG8KGcPZWIiIiIiIi0Ezn+LgREhuHU9D/ju9orkvXvvfcepk+fjrVr16J9+/YadEjUNiKBF4au/PFGc6LH9sflk+eFAlmUVrJu/83wIVfAshJBWxcO2JVoz2MVLd+BxPkPKra+9gZ9Z9cNijYJ1ZWs249+S8YrNm6tvRKXjpai7P084eAu8j08XlBzLJk2vVsg8mmiYa2i1whEpByjrTuMtu7o8ZOBcOwtUmQCnortBTevt5MWZiNyaG8Ybd3bvF6l/b3bM3q3oJqHz7+qdwtCIu61Ct+bhffrqXI3YkwDYoVr60ouMFSZ2szUP0aorvpoGcxDElTuxvsYIsMYqkyqa2pqwsWLF1ut6RzSVaNuvE964jiUOk64FYDUVjvz38bO/LcBfB+w3NZgsMKz0pMveLMtB5chd8jziq2vU0d9Q07Mxh5CdTvz38a0kUsVG7e8yo7iinzsO/6ecIgt6S/ekiJUV1F9WlZIo5SekUnN/j3KJP27BDn77L/KDwvVTc9cLlSnFdGQSNH9XS16H++I1OQt+yGRP4qNTEZsZDLuS3oMx858pkiAap59281r2InDFyM5dphHBtP+bGmE3i2o5k9zL+jdgkdw1jnw5idPu3VP5c+Byi7pieMQGR6DDw4u1+y+dOLwxc2G1DvrHELLx3VtfsIZfxQeEol2aIfruN5iDd/7Jm/2wQcf4Gc/+xmuXpUOxwKA9KgnkBn3G7QDf/9CRERERETkD+6KHI+wgEj8+dR0XPmuVrKe2QlEREQkl1+EKl+/fh0zZ87EunXrhOo7GgORuGkSwlL5BSAiIiIiIiLSXudhVvT902ScmLgRV50NkvXvvPMOgoOD8frrr2vQHVHbnD9/XrLGEBmmQSfeKXH+gwjr002RwCx33RqwnLQwG92zU9wO0mNArjz+Furk2FuEc3/Pv/l6I//G44V/aXTUCNVF3MuJMYmIyL8ZzKGIHtsf0WP7K3r97ApVt2TaEDsxTZFJdcj/JC3M9qjXTdLCbKEJA65cELsWJWoNJ51oG0NkGGqLWw7lYLAEKaGiogLXr7ccYAIA4cEMVW5N7pDn0cOcqEjAl7tuDVieOHwx7un9iFvBfwzIlUc0eNZXFJz5HAdP/u3ma428S5TJilRrluR+/pV9OxKiBkquz+EsFRrXEh7XfD9dxCbUKK+yCwUwf/XNTqH1WaNSheroh/zteEdERJ7FGGxGeuI4pCeOU/Sa1BWqnmrNwgP9JrV5khoiUSWVx7B573/KvgdPtWZh4vDFQtfH/iAhaiBmPrQK/3d0g/AkCe5ItWYhd8hzLQZZX7kq/d12+qGADgYEGYyoa6xusUbk+9VEnmjbtm147LHHhAOV7+85F8N7zFa5KyIiIiIiIvI01s7DMLnvn7DxxEQ0XHVK1jM7gYiIiOTwi2kYfvvb32L16tVCtR3Dg9D3T5MZqExERERERES6ChvQE0l/fRwBESFC9W+88QYWLVqkcldEbXfhwoVW/9+ufTt06iL2uvdX0WP7Y8hHT8OSadO7FRQu2oqdA34H+6rdaBIIgScSUXWkBIcmr8WB8asYqEzkp641NundAhERkdcxD0lAvyXjMWzXXCQtzFZknRXbC3Bo8lps6/087Kt2w1lwTpH1kn8IvzNa7xZ+QLSfGnulyp2QPwjoHCRUd+GAXeVOvJPUpHuVldxPqe2kPqsAgPDgSA068W7pieOweMInSLVm6d0KNu5egFlvpeCjw6+jrlH6h1dEUorKD+OVLRPw+81jGajs5Qb3fVSyZsvBZULHjopLxUJjthTGKxoEV36xSLLGWecQfm22FIRGRERE3sEWcx+mjVyKl6bswcThixVZZ559G17ZMgHTVsbjo8Ovo6TymCLrJWpOUflhPLtumFuByk+OWsFA5R8JNhgxeuBMrHwiX7FjgkuqNQsv5H6AeTmbWr2PqG28JLS+0CBOQHirziGtT+LmcLQ82SCRpzp8+DDGjx+PK1euCNWP6PkfDFQmIiIiIiLyYz3DBuDxpL8iJCBCqJ7ZCURERCSqo94NqG3t2rVYvFjsw8GAyFAk/XkyghMtKndFREREREREJC0kOQq296ai8LF1uFJxWbL+t7/9Lbp27YoZM2Zo0B2Re+rq6lr9f4fgTmjX0S/mAWsT04BY9P/vCfj20+PIe2qD3u2gcNFWXDhgR+L8B2G0dde7HfJSTc4GnNl0EIWLturdChERERGR1zLausNo646YCWn49tPjKHs/DxXbC9q8Xtd1uiXThtiJaeiSZkWAMbDN6yXvE2oVC5gMiW8+REwvov00OetV7oT8QVC0WFCEEsdnX9Qx1NDq/+vruZ9S20l9VgEAQYbWA77phoSogZj50Cr8s3gnVn44Xe92sHH3AhSe3Y/cIc8xRJTcUtfoxP8d3YCNuxfo3QopJN6SIlRX6TwjedwQCVWWCjXLSJkqGYb8r/I8ycD6iurTkr0AQE7aHKE6IiIi8nyxkcmIjUzG/XdOwj+Ld2Lf8fdkh9Q2x3Xtm2rNwgP9JiGxRzqCDcY2r5cIAPafeN+t9wtcgcotTVhCgNnYA6MHzsQ9vR/BqXOH2nRMyEmbg3v6ZAu/l1JTXyVUF2Lo7FY/viqoU2ir/+d73+RtvvnmG4wZMwa1tbWSte3QDllxv0Va1L9r0BkRERERERF5sqiQZEy1vYd1hY/h8pUKyXpmJxAREZEInw5V/vjjj/HUU08J1QZEhMC2+XEE9Rb78RcRERERERGRFoISImF7dyqOPfpHNH1bI1k/a9YsREdHIzs7W4PuiORraGho9f/tDQEadeL9AoyBiB7bH11H9MXFg3aUbDyoaxBLxfYCVGwvwKD102DJtOnWB3mnRkcN8p/5C8OEiEgWBt4RERG1zHXPGD22P6qOlODs5i9Rsm5/m9fruvcDgKSF2Ygc2puT6/iZDsGdhOo6hgWp3Ik8ou85FS3fgcT5D6rcDRG1pn1g6/ur1HvMRCJEXkcBHVoP+KbvBRuMSE8ch7viM3CidD92fb1BkWAvd+XZtyHPvg3zcjZJhpIS3cpZ58Cbnzyt6+uXlBdlsiLVmiX5vNrL8yQDxI7YP5EcL65rv1b/37dnumSo8paDy5A75PlWa76yb5fsBQD6WzOF6oiIiMh7uO7B0hPHoaj8MD479mfJ6wsRrnsp4MZEEcmxwzhZDbXJ5r0vYsvBZbKXy0mbI3k9TN8zG3vAbOyB9MRxcDhLUXGpGNV1laiqKUfh2f233QtlpExFN1M8okxWRBh7uLWfi0w4A4AB7T8S0LH1CWv53jd5kwsXLuChhx5CRYV0+FU7tMND8X/AoG5TNOiMiIiIiIiIvEFkUAKm2t7FH489ipqmbyXrmZ1AREREUnw2VPmrr75Cbm4url69KlnbsXMQ+v55MgOViYiIiIiIyCMF3hGBvpsmoXD8O7ha3Xpw3HfffYcJEybgs88+Q//+/TXqkEhcY2Njq/9v38ln365STYAxEJZMGyyZNtTaK3HpaCnK3s/TLZz20OS1uPfdGTAPSdBlfPI+nhKonLQwG10GxSM4NgLbkxfo2guRvxMN4GPgHRERkRjTgFiYBsTC+sQwnN9egMJFWxVZr2s9lkwbYiemoXNqLAzmUEXWTZ6rkylEqC7A2PoPw7XG1yaR9+jAUGXSgNRnFYB0yAndLthgRKo1C6nWLJRX2VFckY99x9/TLaD2lS0T8ELuB7DF3KfL+ORdPCVQeeLwxegdfQ8s4XF48o0+uvbiSwb3fVTyuV2zfTZG9Jvc4v+ddQ6h10eXsNYnHoqO6C25DgBwOEthNvZo9n91jU7hcLroLmLjERERkXdKiBqIhKiBeGjgDOTZt2HjbmW+7+JaT6o1Cw/0m4ReUQNhDDYrsm7yfW25v2Kgctu4ApZdRg+cqco4xRVfC9UxVPmHOjFUmXxEQ0MDHn74YZw8eVKoPjNuAQOViYiIiIiI6DYRgXdgUt9NeKdwPOqvVrday+wEIiIikuKTKTUVFRV45JFHUFNTI1nbIcyAvpsmISSpmwadEREREREREbknJKkbkjZPQeFP3sFVZ+tfmqypqcGYMWPw5Zdfonv31n+wR6Q1qS/9dgj0yberNBNijUSINRLRY/vfDFi+cMCOknX7Ne3jwPhVGLHvOYRYlZnE7OHzryqyHtJG7JR04Vq9ApVjp6Sj8509EBwXgZB4M4KiTZqOT+rh8cI3eFoAHxERka8IsUbCOmM4Yiak4dtPjys2IU/F9oKb60mYPRLdx6TAaON7Ur4qoLPYBBhERO7qYGj9PWIGS5ASRF5HAR06adCJ74oyWRFlsiI9cdzNgOXjZ/djZ/7bmvbx+81j8eq0Q4gyWdu8rj/NvaBAR6SVjJSpwrV6BSpnpExFvKUfLJ3jYekc32KALrVdvCVFqK6k8hhiI5Ob/V9F9WmhdUgdb0whYr9ZqLhU3OJrouziKaF15KTNYYgZERGRn4gyWTF64Ezcf+ck/LN4p2IT3OTZt91cT07aHNzTJ7vF6yUi4MY19ea9/+nW62/WmDVITxynQlekNJH3d3LS5mjQiXcJ6GBo9f9875u8xcyZM3HgwAGh2hE9/wPpUU+o3BERERERERF5q24hSZiStBnvFP4EDVedrdYyO4GIiIha43MpNVeuXMH48eNx9uxZydr2gQHou34iQu+K1qAzIiIiIiIiorYJSY5Cn7f/Dcf/bT2uNV5ttfbcuXP46U9/il27diEgIECjDomkNTU1tfr/dh07aNSJ77s1YLnPvCzUlVzAxUPFKFy0VZPxCxZtxaD101qtiZ2SLhT43ORsYMAmbgQQG8yhuo1fX1YlVBcSZxZeZ/Haz1UNVE6YPRIBxiCE3xmNDkGdENjNyABlL8XjBXmqhvOtf2mHSC5Lpk3zyQZaInrsrS+r4vmVvJYl06Z3C7oIMAYiemx/RI/tj6ojJTi7+UvFJuMpWr4DRct3wJJpQ/S4VJiHJOh6H0PK4zGfiNTWrlPrX2lsbGzUqBPyZVKfVQBAR4YqK+bWgOWfDH4WFdWncarsC2zcvUCT8TfuXoB5OZta/H9GylShMKC6RifDSXEjgNgYLP45gNIczlKhum6meOF1bst7S9VA5Zy0OQgJDEdc137oFBAEU0g3BihrLMpkRao1S/J5LrtwqsWQwLOVhZLjiISGGYPNQr2c/vZr2GLuc7sXAOhvzRSq09rE4YuFzgEOZ6mu+0pdI9//J+WI7PdaEr3+0Xs/JHJXqjVL7xZ0E2wwIj1xHNITx6Go/DA+O/ZnxSa32XJwGbYcXIZUaxYG930UyTFDdb03IM9TVH4YCzaNcmvZF3I/aPH6lzxLeZVdqI7XELeTer+R732TN1i2bBn++Mc/CtUO6f4LDOvxtModERERERERkbeLCknGv/V5G+uP/xuuXmv9/RFmJxAREVFLfC5U+Ve/+hX27t0rXdi+HXq9Ng5hg2LUb4qIiIiIiIhIIca0WPRenYuT//5nXP/uWqu1n3/+OX71q19h1apVGnVHJO369eut/r9dO40a8TMGcygM5lCYBsTCOmM46suqUFvsQPXRMtVCliu2F8CxtwjmIQkt1oiG7169XM+QVADXGqWDPryJY28RipbvaPN6khZmIyAsEMFxEehkCkFA5yB0DAvia8bH8Hjhf7wlzPW7+iu6jU2+KeJeq1CoshavfTkTJRB5GtEJQSLutarcieczDYi9ca/4xDBcOGBH/tzNiqy3YnvBzeNZwuyR6D4mBUZbd0XWTfrzpEkAiDxRk7NBqC5h9kiVOyGilkh9VkHqMQabYQw2IyFqIEYPnAmHsxQVl4px+tuvVQtZzrNvQ8GZz1sMZxIN32Wo8g1Xroqd57xFwZnPseXgsjavZ+LwxQjqFAZL53iEBpkQYuiMYIORrxkPMrjvo5KBpvuOv4f0xHHN/q+44mvJMXqYE4V6GWAdJdnLxt0LMHrgzGb/t2b7bKFxorv0Fqqj5jFUmZSU1DNdKFRZqxBjOZMPEHkS0Qk2knqmq9yJd0iIGoiEqIF4aOAMHD+7T/gaQkqefdvNY1pO2hzc0ye7xYkpyH/sP/E+Vn44XfZyqdYs5A55jq8hL1J+sUioztKZ1xs/1o5fkCYvt2PHDjz77LNCtXeaH0FG7PMqd0RERERERES+ItaYhtzeq/Hnk/+Oa9e/a7WW2QlERETUHJ8KVV69ejXefPNNodq432YhYnSSyh0RERERERERKc+U2Qexv8nE6d9K/9hm9erVSE1NxfTp8r+sTES+KyjahKBoE8xDEm6GLDecd+Ly8XKcvyX4qq2+eeuzVkOVRTWcd+oamOkpmi7V67odaosdQnXhd0ZL1jQ5G/DNW5/J7sGSaUP0uFSEJVhgsBhhMIfKXgf5Nh4vfIdomKvex8bqo2W6jU3kKXjsJfINIdZIhFgjEZV9Fy4etKNk40HF7g2Llu9A0fIdN6/nzUMSeC3v5UQmAdB78gt3WTJterdAPuDq5XqhugBjkMqdEBF5PrOxB8zGHrDF3HczZLmq9jzOVhbiiP0TofBBEf84srrFUGVRVbXnNQk59HS1jZdghn7boeJSsVBdXNd+kjV1jU7848hq2T2kWrMwuO+jiI7oDVNINxiDOTGVN4i3pEjW5Nm3wVnnuO05rWt0Ymf+25LLR0eIhRiLhos110tJ5TGhZTNSpnpsqLcpNEqoruJSsa7H3abvGnUbm8hT8PqHyDdEmayIMlmR1mcsTpTux66vNyh2r7Xl4DJsObjs5jVycsxQXh/7obYEKj85agVfM17mq292CtUxVJnIt9jtdjz22GO4evWqZG18+GDk9FqBdmCQOBEREREREYnrY8pEZuxvsO30byVrmZ1AREREP+YzocpHjx7FM888I1TbfcZgRE1LU7kjIiIiIiIiIvVETb8XjWXVKF9zQLJ21qxZGDhwIPr3769BZ0TkjVwhy6YBsYiZmIYmZwNqiiraHLJcsb0AtfZKhFgjm/2/SPguANSdvQjTgFi3evAlV6pqdR2/0VEjVNchqJNkzcWDdlmvq9gp6YibnA6jrbvwMu4SfZykLR4v/E9oC+eOH6svq9Lk2NCS2tNigfNE3kj02HvlAs+dRL4kwBgIS6YNlkwbnAXncHr9fpSs26/Iuituub98+Pyrbq3D3eVIWSLnCE8L3a8vqxKqi7jXqnIn5A8azjuF6gKjwlXuhIjI+7hClhOiBmJEv8moa3Si7OKpNocs59m3obzKjijT7ed6kfBdAKisPoOEqIFuje9LaurFrqvUUl1XKVTXKUB68oITpftlvaYyUqYi467HERuZLLyMu5x1fN9RaVEmK1KtWZLPeUX16dtC3URfd5HGGKE60XCx5nopu3BKaNn+d2QI1ekhPFjs/X/R7a6Wi5fP6To+kZpEr38u83xE5FOCDUakWrOQas1CSeUx7PznO0ITR4jIs2+7eZ31p7kX3FqHu8uRvjbvfRFbDi6TvVxO2hzkDnlehY5ITaITzgDgxAxEPqSpqQkTJkxAVZX0+4Jdg/vgp73/Bx3aBWjQGREREREREfmae6Omo7qxDAfK10jWMjuBiIiIbtVe7waUcPnyZYwfPx719fWStV1GJSL2+ZEadEVERERERESkrrgFo2Aa2UeyrrGxET/72c9QU8OgKyISE2AMvBmwPGj9NIzY9xxSV0+CJdMme1019m9b/J9I+C4AXDhglz2uL6o+Wqbr+KLPQ2A3o2RNycaDwuOmrp6EfkvGaxaaeq2xSZNxSB4eL/yPaABf1VdnVO6kZU3OBsVCJolcRIOMmy5Jfy7aVqLH3hq7vuEmRM0R3UdE9zl/ZbR1R78l45Fx5DdIWZqrdzvkQYKiOkvWXD5erkEn4kRDbgPCAlXuhNzV6KhBfVkVau2VcOwtgmNvEc5sPAj7qt04seRj/L3bM3q3eFPd2YtCdQZzqMqdEBF5v2CD8WbA8rycTXh12iHMGrMGqdYs2esqv1jU7N9FwncB4PhZvg8EAKe//VrX8UWfB1NIN8maXV9vEB531pg1mDZyqSaBygBw5WqDJuP4m8F9H5WsOVX2xW1/a+n4catUaxaCDdKfkQHi4WKV1be//73v+HtCy/by4BD4LmFin/npfdytuFSs6/jkW0RDjGsbL6ncyQ2i1z/lVfzslTyL6D4ius/5s9jIZEwbuRQrn8jH9MzlerdDXsrdQOVZY9YwUNlLlV0Um+QlJ22Oyp0QkZbmzZuHL764/f2SHwsJMGNi4gYEdhR7f4SIiIiIiIioOaPiFqCPSTofkNkJREREdCufCFWeOXMmTp2S/kAuqJcZvVbkAO3badAVERERERERkcrat0PCfz+K4D5dJUtPnjyJf//3f9egKSLyRSHWSESP7Y9B66chdfUkWcu2FrInEr4LACXr9qPRwQ839QyLlRMcKhWEWmuvRMX2AqF1pa6ehOix2s4WrEVIJcnH44X/MVjEnvOi5TtU7qRl9YJBaURquFJVq/oYosfewkVbVe5E2t+7PYMTSz6GfdVunNl48GbQYq29EvVlVTw3+CEt9hF/EhRtQszENGSdehGD1k9za8Id8i0h1kjJmvOC931aEQ25DY6LULkTcsffuz2D7ckLsHPA7/Dp4P/EgfGrcGD8KuTP3YzCRVtv3hfUeshkD6Lv4YTEm1XuhIjI90SZrEhPHId5OZswa8waWcu2FAooEr4LADvz34azziFrTF9UqGPIaV2jEzvz3xaqlQqtLa+yI8++TWhds8asQXriOKFapWgVqulv4i0pkjUbdy+47W8ioaIDrKNk9TJx+GLJmh+HCjucpUKv24yUqTAGe+61Zniw9D0lcOO4W9coNkGOGo7YP9FtbPJfNfVVmowjev3T3DFRaz9bGoHNe1/ER4dfx6dfr0fBmc9RcOZzlFfZ4XCW8vrMz2i1j/gTs7EHRvSbjLWzijEvZ5NbE9iQf3I3UHnxhE80v7/yJs46BxzOUpRX2W+e8z79ej0+Ovw6Nu99ET9bqu9nGF/ZtwvV2WLuU7kTItLKRx99hNdee02yrkO7jsjtvRrhBk5sTURERERERG3TDu3xaMJ/o2twH8laZicQERGRS0e9G2irt99+Gxs2bJCs6xgehMR1E9AhLFCDroiI9HUgeqFQ3b1li1TuxPdw25K3aSyrxpWKy2g8W4Ur5y+jofgiKjZ8eVtdj6eHoUN4IILuiEDHiBAExpgQYA7RoWPfwO1ORFrqEGpAn//5KY6OfgtXnQ2t1v7lL3/BqFGjMHXqVI26IyJfFD22P8ISLNjzwFKh+gsH7LDOGN7s/6TCd291Ka/E74O7KrYXoL6sStZ2U4pocGjSwmzJmhr7t0Lrip2SrnmgMgDUl/FHeJ6Ixwv/YzCHwpJpEwphdxacg9HWXYOufujSV2c0H5N8X1BUZ6G67+quqNyJvGNvrb1SKGBTDa7wRKmQdUumDYPWT9OiJfIAovuI6D5HNwQYA2HJtMGSaYOz4BxOr98vPPkK+Z6E2SNbPfZWbC/Q7TqtOaIhtzwueKakhdlCEznU2L/V7ZrEpdFRo9jEVERE1Lr0xHGIjuiNZ9cNE6ovPLsfowfOvO3vUuG7t/pX+WG/DxnLs2+Dw1kqa7sppdIp9n6cSFht+cUioXVlpEzVJfDrgrNU8zH9QZTJilRrlmQw8Y9f4yKhopbO8bJ7kbIz/21MG/n9Z7JnKo8Jrbv/HRmyetFasMGIjJSpQiHplc4ziI1M1qCrH3LWOYSD14lEdAkTe3+ksUmbyeLknMfLq+xCxyw1uELtpUI7U61ZmJezSYuWSGei+4joPkffCzYYkWrNQqo1CyWVx7Dzn+8IT2hC/sedQOVUaxYmDl+s2znFG4gGJut1bnbWOYSf957mvip3Q0RaOHv2LCZPnozr169L1j4Y/zvEGe/VoCsiIvctPCAW/L7o3jKVO/FN3L7kbaoby3D5SgWqGs/i8pXzuNhQjC8rbs+uGtbjaQR2CEdE0B0I6RgBU2AMQgI8d2JLT8ftTkSiDB1C8dM+/4O3jo5Gw9XWJ+JldgIREREBXh6qXFxcjKefflqyrl2H9khY9RMExnXRoCsiIiIifTV8cwE1R8/BseUoqnacFFqmdMWe2/5mGtkH5pw7ETYwBobocKXb9Dnc7kSkp8A7IpDw+ngcn7IJuNb6l9aefvpp3H///YiLi9OmOSJqk0ZHDa41NuFaw1XUl18CANSdvoCmyw1octajaPkOPHz+Vc37Mtq6I3X1JNGrRhAAACAASURBVOQ9JT3ZmVQYplQIk0vJxoMMScWN4FA9AnfOfZgvVBd+p/SX4Wr+f/ChlJ65dwvVKa1i13FdxiVpPF74n+hxqUKhyuc+zNc8rK/J2YD8uZs1HZP8Q/tAsY9va+yVsKjcCyB+7L10tFS3AEPRCRsi7uUPdP2J6DWn6D5HtzPauqPfkvFI+NUDuPjlaaH7Q/Itpv4xkjV6XKc1p76sSjjkVu9AXmpeQFigUF3FruO63w9eyisRqhOZmIqIyJM46xy4crUBTd814uLlcwCAikvFqL9yGbUN1dhycBn+NPeC5n3FRiZj1pg1WPnhdMna1sIxc9LmCAUD7fp6g9+HKgM3gl31CFX+4qT0JAsAENe1n2SNK6RRytDknwrVKe2rb3bqMq4/GNz3Ucmw3IpLxTdf4w7BgGvZocpdEoTqbg14Fn1d9IoaKKsXPfTtmS4U1PjFya26hCr/q/yw5mOSbwvoYBCqEz0/KUH0+qe4Il+/UGXBSRCSeqar3Al5CtF9RHSfo+bFRiZj2sileOSeX+PUuUNC91vkP9wJVM5ImYqfDH4WxmCGH7Vm4vDFQhO6lF8s0uXcfOzMZ0J1GSlT+VwT+YDr169j6tSpuHjxomTtQMtE3G2ZrEFXRERERG1zoeEbnKs5iqOOLThZJf3daADYU7ritr/1MY3EneYcxIQNRLhBLFDcn3G7E5G7IgLvwPiE17Hp+BRcx7VWa5mdQERERF77C8Fr167h5z//OS5fvixZG/30UHQexh/JEhERkW+rLTyPivWHUbHhS0XWV7Xj5M1wYMuku2GZPBAhSd0UWbcv4XYnIk/ReUQCeswa2mxg+60uX76MSZMmYc+ePWjfvr1G3RGROw5NXisUJFlrr9Ql8KfriL6KrMc8uJdQUF/F9gI49hbBPETsB8Zqchacw54Hlt4MvwmMCofBHAoACIm/8YOAjmFBCDCKBf7IoUdYbKOjRug5AoCwxCjJmgsHxH7kFpqgRVTkD8kJ2iLt8XjhfzrfKRbMUrR8B2InpmkaOv/tpwxgJ3WIvo6bnPUqd3KDSGAmAJS9n4fosf1V7qZ5ohMiiEz+QL5DdB/RY8ISXxMUbUJ0tAldR/RF9ddn8c1bnwndy5L365waK1mjx3Vacy5+eVqoLmH2SHUbIbcFx0UI1ZWs24+EXz2g62uuZONBoboug+SF7hER6emVLRMkA0iBGwFneoT63BWf0eZ12GLuEwqFyrNvQ8GZz2GLua/NY7ZVSeUxPLtuGCYOXwwAMIVGITz4xudFrnDXYIMRwQaj4mPrES7trHMIB3f1NEt/hlV4VuyzgOguvYXqlORwlgqFzZJ74i0pkjWnv/365n5eVXteaL1yg8ZFj5eugOe6RqfQ6yLVmuUVAWbREWL71paDyzCi32TNg9x3fc3Jo0hZoq/h2oZqlTv5Xq+oVKG6fcffQ3riOJW7aZ5omLzIhArkG0T3ET0mAPFFZmMPmI09cFd8Boor8vGPI6uF7g3Jd3369XrZgco5aXOQO+R5lTryLaZQ6e/dATfOj3pM+CQasN7/jra/T0NE+nv99dexa9cuyTpLcCKy4hZp0BERERGR+87XFuJwxXp8WaHMe/8nq3bcDAe+2zIJAy2T0S0kSZF1+xJudyJSQkLnERjaY1azYeu3YnYCEREReW2o8muvvYbdu3dL1hnTYtHj18PUb4iIiIhIJ41l1Shb+bliob7NqdjwJSo2fAnLpLsRPes+GKLDVRvLW3C7E5En6jn3flw+fAbV+4pbrdu7dy9ef/11zJo1S6POiMgd3TJtQkFUl46W6hKqrFQAqEgIr8s3b32G8H49dQ8fPb3+xg/tCxdtbbVu0Pppigcg6xEWW7HtmFBd7JT0m2Gxra5PMGBNj+f53NZ8zcckcTxe+J8QayQsgufDc1vzYZ0xXP2mADQ5G5D3FAMVSD2xU9IlQ/6Llu9A4vwHVe8l1NpVqE6vQHs5EyK4wuzJP4hMxBA7JV2DTvxHgDEQ5iEJMA9JgLPgHM59mC88OQt5J4M5VOyc9dou9FsyXqOubtfoqBG+drNk8EcWnkrOeVzLe4Mfc+wtEn7fQ4/JpIiI3DXAOkooOKu4Il+XUGUlQoNFQnhd/nFkNeItKaqEFcux85/vAAA27l7Qat28nE2Khy3pES59+F//EKrLSJkqFCgrGganx/P8xam/aT6mP4kyWZFqzWr1NbBx9wKMHjgTAHC2slByna5wc7kyUqZKBiW7Ap7LLp4SWufgvo+61YvWYiOThWu/OPW3m8+HFkoqjzEwklQhss9vObhMs+DJqC5i7+frNamEnEkGXBNKkO8TCXPNSJmqQSf+JdhghC3mPthi7kNJ5TF8cXKr7GBd8n77T7yPNdtny1pm1pg1ugXze6PIcLEJj3fmv41H7vm1pgHycq6PE3vwM1gib/fNN9/gueeek6zr1CEEub3fREB7fb+jSURERNSS6sYyfF62UrFQ3+Z8WbEBX1ZswN2WSbgvehbCDdGqjeUtuN2JSGn395yLM5cPo7h6X6t1zE4gIiLyb145rcLJkyfx/PPSXxQKiAhBwuvj0a6DVz5MIiIiIklVO04ib9Crqgb73qpiw5fIG/Qqqnac1GQ8T8XtTkQeq3079HptHDp2CZYsffbZZ3HqlNiP7ohIH2F9xcJDPT3UUSok1BXCJKJiewHObDqoRFtuc+wtEg7u65waq0oP37z1mSrrbU59WRXy524WqrU8IB464YmcBeckg29JXzxe+KfYiWlCdYWLtqLqSInK3dyg92uLfF/nO8V+/NjoqFG5k+/DzUVoeY3iIjohgiXThqBok8rdkKcQ3TdE9zWSz2jrjsT5DyLjyG+QunqS3u2Qiro/nCJZU7Juv3DIrBpK/3pYuJYht54rKNokfE1SuGgr6suqVO7odo2OGhwYv0qoNmVpru6TABERydEzUmzigZUfTle5k7ZpLVjYGGwWDl/Ls2/D/x3V97OZgjOfC4cM9ooaqEoP/ziyWpX1NsfhLBUO7+p/R4bK3airpPKYZFA2tZ1I8HB5lR0AUFzxtWStu4HyfXtKf+ZRePbG5wynyr4QWme8Rfo+zVNMz1wuVLdx94Kbz4cWNu/9T83GIv8Sb+knVOesc6jcyQ2ukHkRWp73XUQnGUi1ZmkaKkn6Ed03RPc1ck9sZDJyhzyPlU/kY9aYNXq3QxopqTwm+57/hdwPGKgskyU8Trj21LlD6jXyI846B17ZMkGoduLwxbpPQkVEbXPt2jVMnToVNTXS37sYE/8izEG9NOiKiIiISL6TVTvwat4gVYN9b/VlxQa8mjcIJ6t2aDKep+J2JyI1tEN7jOv1GoI7dpGsZXYCERGR//K6tOHr169j+vTpqK+vb72wXTtY/ysHnbrxQzgiIiLyTWdf/hQnHv9fXcY+8fj/4uzLn+oytt643YnI03XqZkSvFeOAdu1araurq8OTTz6J69eva9QZEckVHBshXKtHOFGtvVKoLuJe6R8Ri4QwuRQu2grH3iLheiXVl1UJh+PETkmHwRyqSh8V2wtwZqM2gZ5Fr+0Sru2S5t4PxluiRVDkrWOdWPKxW8vqEdTkz3i88D9yji17R69Q/dhR9sFXDGAn1QXHiV0HXq2W+LxUIdHjUoXqtLxGAW5cj4ruj6KPgXyD6L4huq+R+4KiTYge2x9Zp17Eve/OEA5EJe9hHpIgVHdo8lo4C86p3M3tHHuLhM8VSQuzGXLr4eScz0s0vCZxKV77uXBt5P19VOyEiEh5ckJ98uzb1GukBaJBm0kS4aVpfR4RHnPj7gUoOCN+7FeSw1mK328eK1SbkTIVxmCzKn3k2bfh06/Xq7LuH/vbF/8lXJvYQ2xiPlFaBVu6xnI3zNXhLFW4G98mEjxcfrEIdY1OoQDzqC5i90Y/Fh3RW7Imz74NDmepUNh2qjXL7YBnPfTtOVi4Vquw8f0n3tflXEb+wdI5XqiutrFa5U6+JxIyD2h73gduXN+J7veij4G8n+i+IbqvUduYjT2QnjgOa2cV44XcD4RD2sn7OOsceHbdMFnLvDRlD2wx96nUke+SM+HTyg+na3a/ui3vLeFaHguIvN/rr7+Ozz6TnlS9f2QuUiLHa9ARERERkXyfnn0Z/3vicV3G/t8Tj+PTsy/rMrbeuN2JSE3GTt0wrtcKtAOzE4iIiKh5XheqvG7dOnz+ufQXkS0TB8I0wr0vKBIRERF5urMvf4rSFXt07aF0xR6cfflTfHe5Qdc+tMTtTkTewjQiAZYJAyTrdu/ejQ0btJn1lYjkM5hDETtF7Iffhyav1TzY9bxgkHOoNVKyRjSEyeXA+FWahzE1Ompw9Ln3het75t6tYjdA/tzNqm8D+6rdKFm3X6g2ZWmu4uFTl0+UK7q+ljQ6apD/zF90CScn+Xi88D8BxkCkrp4kXJ//zF9UC1Yu++Ar5D3F62dSX0i8WNhRffkllTu5Qc6xN3/uZlQdKVGxm+8VyAg473J3nHqNkMcR3TdE9zVquwBjIMxDEjBo/TQM2zUXCbNH6t0SKUj0Wu3Eko81nTzHWXBOeKITAIgcKh1mRvrqfGcP4dqi5Ts0vc8/s/EgipbvEKqNnZKOoGiTyh0RESlLTqjPK1smaB7uKhp+KRU0Kjfw6febx6Kk8pisZdrKWefA27vmC9cPTf6pit0Aa7bPVn0bfHT4daFQWwCYnrkcwQajouOfdRxXdH0tcdY58OYnTzPMVSNRJqtk2Ne/yvNQXSc2yay7QcamkG5CdV+f/lSoztuCRaNMVuHzS559GzbvfVHVfkoqj2Hlh9NVHYP8m2jQ68XL2n22mRwzVLh2zfbZKCo/rGI335MTpN67+yAVOyFPIrpvMFRZW8EGI2wx92Fezia8NGUPctLm6N0SKUxuoO6bvziJ2MhkFTvybf3vyBCu/bzwLyp2csP+E+9jy8FlQrUZKVO9apIXIrrd+fPnsWCB9LV4Z0MPPBi/WIOOiIiIiOT79OzL2FO6Qtce9pSuwKdnX0bDd5d17UNL3O5EpIUE0wgMsEyQrGN2AhERkX/yqlDlixcvYv586S8DG2JMiH2BP8IjIiIi3+QJwb4upSv24NwqsZA1b8ftTkTeJm7hKATGdZGse+aZZ+BwODToiIjcYXmgr3Dt0efe1yycyFlwDoWCIXah1q5CdXICMwFgzwNLNQvHkRu6a8m0wTQgVuWubmwDtcJiyz74Svg5BoDI+/sI1yYtzBaq++atz4TX6a5aeyUDlb0Qjxf+p+sI8fNhxfYC5D/zF8UnG/CWQGUtgwpJPaIhe9VHy1Tu5AaDOVT4/A0Ae0evUD3Q/sSSj4WPtQwu9D+i+wZfF/ow2rojcf6DerdBChK9VnNdp9XaxULJ2sJZcA57HlgqXB87JR1GW3cVOyIlhFgjhScgA25MQqbFJDtlH3yF/LmbhesTfvWAit0QEalHTqjP27vmw1mnzeePJZXHhEP3orpITxo0a8waWeM/u26YZiG4ckN3U61ZSIgaqHJXN7aBWsHK+0+8LytUsV/cCOHaicPFgl/+cWS18DrdVV5lZ6CyDqQCiLccXIbyi0WS6xENBW6OMdgsGe4M3AgyFRFvSXG7F71k3PW4cO2Wg8tUC1YuqTyGZ9cNU2XdStDqvErqMhvFJgs6/e3XKnfyPWOwWficCAALNo1SfUKFzXtfFD4nZqRMFd6u5P1E9w2+JvQTG5mM3CHP690GKSjPvk04UDfVmoUnR62AMZiTmrZFLxn38Rt3L0DBmc9V62X/ifdlTTryyD2/Vq0XItLG7NmzcelS65NYt0M7ZN/xMgwdwjTqioiIiEicJwT7uuwpXYH951bp3YYmuN2JSEuj4haiS2CcZB2zE4iIiPyPV4Uqz58/H99++23rRe3boderY9Eh1KBNU0REREQaqth0xGOCfV1KV+zBuTd9O+CX252IvFH74E7o9V85QPt2rdZduHABL7zwgkZdEZFcXdKswrWucCK1wxTlBBNZMm0IsUYK1UaP7Q9Lpk1WL4cmr4V91W40ORtkLSeHO6G7dzwxVLV+fmzPA0vh2Cv9g245Tiz5WFZwaNLCbFmBdIFR4UJ1FdsLcGLJx8LrlatiewE+HfyfDFT2Qjxe+J8AY6CsMO2K7QXYOeB3iuzfjY4a2cdFPV2trte7BVJIwmzpCWQvHLBr0MkN3bPlBbKoGWh/YsnHKFq+Q7g+brJ4+CL5BpF9Q2QfIyIxAcZADFo/TajWdR+m9H3sj8eQE6gM8FzhTeQ+V2pekzQ5G1R/D4WIyJMk9hA/BufZt+HNT55WPQBSTgBmqjULUSbpz1zSE8cJBZze6pUtE/DR4ddR1+iUtZwc7oTuPjTgKdX6+bFn1w1TPMhp894XZYU3TRy+WFaAnik0Sqguz75NtRBX1/qfWTuIgco6EAkgfmXLBMmavj3bdj8xwDqqTcvfSuQ452liI5NlBVO7gpWVPOYWlR/26EBlAKhtrNa7BVJITtocyZrCs9p+L/Se3o/IqldzUonNe18UDu8E5AWzk/cT2TdE9jEiEuOscwhdDwMMVFaSMdgs6/r495vHqjLhwUeHX1f1npyIPM+OHTvw5z//WbJuULepsHb27HtoIiIi8k9HKjZ5TLCvy42A3zf1bkNV3O5EpLVO7YOR0+u/0E4iNpHZCURERP7Ha0KVv/jiC/zxj3+UrIuaeg+M98ap3xARERGRxqr3FeOb/9iqdxvNKln8Car3Fevdhiq43YnIm4XdHYNuUwZJ1q1ZswaHDh3SoCMikivAGIikhdnC9RXbC7A9eYFq4URyg4nkhoW6Ey5auGgrvvrlJsUfc5OzAWUffCU7dNeSaYN5SIKivUg5MH6VImGxtfZKHJq8VlZIIQDETEiTVR+WYBGuLVq+Q/FgZWfBORyavBaHJq9VdL2kLR4v/I+7Ydpfz38XzoJzssdzPa/bkxfIPi6qQfR64NLRUpU7Ia2Y+sdI1lRsL1A1LP5WQdEmpCzNlbXMoclrcWLJx4pN+uHOtUrslHQYbd0VGZ+8Q5OzQeh8LLKPEZE4S6ZN1rXagfGrcGLJx6gvq1Ksh/qyKpxY8rHse72khdk8V3gRo607YqfIC61TY5KdqiMl+OqXm2Rdl1gybbLfQyEi8iTBBiMmDl8sXJ9n34Yn3+ijeNDureuXE4ApJ2DYnTDijbsX4PV/zFD88dY1OrH/xPuyQ3dTrVmwxdynaC9Sfr95rCLh0uVVdryyZYKsQEUAuP9O8UnZACA6ordwrSvEVUkllcfwypYJwiFlpLwok1V2iHpzIsPb9h6DpXN8m3sAgOmZyxVZjx4eGjhDVv2Wg8vw+j9moLyqbZPO1TU68enX67Fgk3LB1nKJnluLK/JV7oS00isqVbImz75N1ckafsxs7CH7GPLKlgnYvPdFxSbRcOf8n5EyFbGRyYqMT56vrtEpdD0sso8RkZjPC/8iXDtx+GIGKitI7qQBz64bhv0n3ldkbNe96sbdC2QtJ/eenIg8S1NTE375y19K1nUJjEVG7HMadEREREQkT3H1Pmz95j/0bqNZn5QsRnH1Pr3bUAW3OxHpJSbsbgzqNkWyjtkJRERE/qWj3g2Imjt3Lq5du9ZqTaeuYeg5736NOiIi8lz3li3SuwWfxW1Lemly1KIw9x23l7/j5WwE97WgkyUMhujwH/zvu8sNuOpsRMPpi3DuK0bpij1ujVGY+w4GnXgOHcIC3e7T03C7E5EviHn2AVz8+DiunG/5xzbXrl3Dr3/9a+zbtw/t2rXTsDsiEtE9OwWFi+RN8nBg/CpYMm2444mhCO/XEwHGtl0rVB0pwdnNX6Jk3X7hZdwJCzUPSUDC7JGywysrthegYnsBYqeko/vDKW16zI2OGjj2FiHvqQ1uLZ84/0G3lmurwkVbceGA3a3nvL6sCue25st+nQHAve/OkL2tg3p2kVVftHwHnAXncMcTQ90OoG1yNqD667M49/d8Wa9jEbXFDgRFmxRdJ0nj8cI/2RZmywquBoCSdftRsm4/LJk2dMu0IaxvFAK7GW/bb5ucDbh6uR61xQ449v3LI4KU3ZH31AaEJVgYDOgDQq1dherqz15EgEbPd1T2XTj//4+jooqW70DR8h1IXT0J5iEJMJhDZY9ba6/E+e0Fbl2rWJ8QD9gi31B/9qJQneg+RkTi5F6ruc4RSQuzETm0t9vXL205TwBAj58MdGs50k/Crx6QfW9fuGgrChdtbdM1CXBjoqbT6/e79d5CwtMZbX6PjohIb/f0fkR2qM7vN49FqjULDw14CvGWFAQbjG3qoaj8MD479mfszH9beBm5AcO2mPuQkzZHdqhvnn0b8uzbkJEyFWl9HmnT43XWOXDszGdY+eF0t5bPHaJPuMnG3QtQeHa/W8+3w1mKL079TfZrDABeyP1A9raONMoLwt1ycBlKKgvw0ICn3A6srmt0orgiHwdP/k3Wa1hExaVimI09FF2nPxjc91FZgeXNsYTHtW15hUKVrV4cIhllsmJ65nKs2T5beBnXMXfi8MW4p/cjsl7/rn3xH0dWt/n518rKD6cjOqI3A2R9QFQXsc+7K51nNH2+0/qMxRH7J7L2iS0Hl2HLwWWYNWYNkmOGuhWmWV5lR559m1vnf7mB7OTdKp1nhOpE9zEiap3DWSp8bF484RNEmawqd+RfYiOTkZEyVdZ948oPp+P42f3IuOtxt64hSiqPYec/33HrXtWde3Ii8ixvvPEGTp06JVn3YNzv0Kl9sAYdERGpY9G9ZXq34NO4fUkvtU0OvFOY6/by2Xe8DEtwX4R1siDcEP2D/zV8dxmNV5242HAaxc592FO6wq0x3inMxXODTiCwQ5jbfXoabnci0tsDMc/i+MWP4bxyvsUaZicQERH5F68IVX7vvfewd+9eybq43z/EMDkiIiLySZXv5ctexjSyD6Km34vwwa3/8KJDWCA6hAXCEB2O8MHx6Pbze1C97xsU/eJd2WNW/G8euj+ZLns5T8XtTkS+oEOoAXG/HYVTT/211boDBw7ggw8+QE5OjkadEZGooGgTUpbmIn/uZlnLVdwSeJcweyRM/WMQFG1CQOcgdAwLajbExRUo2XSpHvVlVaj66ozboZJ3PDHUreWsM+6Hs+Cc7NBM4PvgTOD2x9xc6G2jowbXGpvQcN6JurMXceGAvU2BuylLc3UNsbz1OU9ZmtticGijowZXq+tRY/8WFbuOu/2YE2aPdCvkOMAYKPs13dJja+m1XF9WpcjrmDwbjxf+J8Qa6dY5EfjhccTX7XlgKZIWZqNbpg0h1ki92yE3iT53l4sqNDueBBgDkTj/Qbf2JVcAfeyUdFge6ItQa1e0D+zY7DG3vqzq5vG27P08t/fdlKW53Af80OWiCqE6vjaIlBdijcSg9dNwaPJaWcu5wpBdk2AEx0UgJN6M9oaA24JvXe9bKHGeAG5MFORuuO6P/b3bM0J1D59/VZHx/FlQtMmt1xpw+zWJyH1gbbED1UfL3A7uBm5cl5gGxLq9PBGRpzAbe8gOvQS+D74EgJy0OegVlYoIYw+EGDoj2GBsNninrtGJukYnahsv4YKzFP8qz5Mdcuzy0ICnZC8z5u5foqSywK2wzZ35b98MIfrx420u9NNZ58CVqw2oqj2PyuozOH52f5sCd6dnLtc1dPPW53t65nL0jEyCKaTbbY/dWedAbWM1yi8W4atvdrr9mHPS5rgVchxsMLod4gr88LG19Dp2OEsVeQ2TeuItKW1aPtWa5VaI6K2UCsP29rDdEf0myw50BW6EuW/cvQAZKVPR/44MRHVJQIgh/LbnxeEsRVXteZytLBTe7+UG2ant2XXDMHH4YqRasxhc6MVEn7uyC6c03a+DDUbkDnnOrWsf1yQQt+6HAR0MzR7fXPtiZfUZ7Dv+ntvB5tMzl3M/8DNlF6RD/gDxfYyIWvfFqb8J1y7YNErFTpTzp7kX3FruZ0sjVF1/Sx4aOEP2tajr/YhUaxYG930U0RG9m30vwvWei9zr4+ZMHL7Y7YmHiMgzXLp0Cb///e8l65IjHkZv0wMadEREREQkT37le7KX6WMaiXujpiM+fHCrdYEdwhDYIQzhhmjEhw/GPd1+jm+q9+Hdol/IHjOv4n+R3v1J2ct5Km53ItKboUMoRsX9Fn891fp3gpidQERE5D88PlS5qakJzz33nGRd5+G9EDE6SYOOiIiIiLRVW3geJYs/kbXMHS9nwzJhgFvjBZhDYH7kToQNjMG3m46gdMUe4WVLFn+CiDE2GKLD3Rrbk3C7E5EviXg4Gaa/5qNqV+s/Lpg3bx5Gjx6NTp06adQZEYmKyr4L59sQBql1oKy7YbvAjbA+28LsNgdfav2YY6ekI2ZimqZjtsadwFE5LJk2WGfc7/bykff3cXtZtR+bXI2OGr1b8Fs8XvinmIlpqCur8ruw9PA7o2XVFy7aKhn6xkA/zycSIn7hgB3RY/tr1BFgtHVH6upJNwMJ5bo11F5NPNb6rwsH7JI1KUtzNeiEyD9ZMm1IWpjtVvis1pNgJC3Mdvu9C9KfJdOGhNkj3b4v0OqaBLjxPhmvS4jIl6T1GetW6KWL1qGybQncnTh8sduP00Xrx5uRMhUj+k3WdMzWtCWYSUSqNQtj7v6l28v3ixvh9rJqPza5qusq9W7BK0WZrEi1Zrm9ryf1TFekj4nDF2Pj7gVuLz89c7kifeht6gNL3H4ubg20V4o7QXZyxXXtJ6veFSLdGqUD/Uh5IqH+x8/uR3riOI06uiE2Mhmzxqy5GZIslxr7YXM87XqHtHH8rPT7OL5yPiTSm8NZ2qZrU1JGlMnq1sRWwA8nBFJTTtocjB44U/VxiEhdL774IhwOR6s1rqAqIiIiIk9zvrYQn5QslrVM9h0vY4BlglvjhQSYcaf5EcSEDcSRbzdhT+kK4WU/KVkMW8QYhBvk/SbAE3G7E5GnSI54GPmmq/yKxQAAIABJREFUv+JU1a5W65idQERE5B/a692AlNWrV6OoqKjVmvaGjoh/cbRGHRERERFpq2L9YVn1yX+f7naw760M0eHo+R8jkPDGeFnLXfhQux+8q4nbnYh8TdzvHkT7Tq3PrWS32/HWW29p1BERyeEKDvUGlkwb4qfJDyi4VYg1EsN2zVWoI/VZMm3oMy9L9XFSV09SfQxRKa8+hgBjoNvLB0WbkOTBr+lhu+bCkmkTqm0or1a5G2oNjxf+KX7afcL7qNq0OjZ3MoUovs76sirF10nK6tw/RrKmZN1+NDkbNOjme9Fj+yNh9khNx5SDx1r/1eRsEArIFNm3iMh91hnDPfo8AdwIubXOGK53G9RG1hn3e8x9QUvaOikVEZEncoUNe4NUaxayUp9we/kokxUvTRGfEFtvqdYs/GTws6qPM2vMGtXHEPXkqBUINhjdXt5s7OHRr+eXpuxBqlXsPY6qmnKVu/Fdg/s+6vaycgNxWxJlsrZpeWtUqiJ96M1s7OExx93pmcvb/LyICA0yKb5Oh7NU8XWSskT22Z35b6Ou0alBNz+UnjgOOWlzNB9XlFbXO+RZ6hqdQoHdvnI+JNLbqXOH9G6B/r8R/SYjI2Wq3m00q63vuRCRZygpKcHKlSsl6+7vORfGTt006IiIiIhInsMV62XVT0/+u9vBvrcKN0RjRM//wPiEN2QtV3DhwzaP7Qm43YnIkzwY9zt0bN96WDKzE4iIiPyDR4cqNzQ04KWXXpKs6zYtDYGxXTToiIiIiEhbtYXnUbHhS+H6fjtmICy1h6I9mB+5U1bAb8niT9BY5t2hYtzuROSLAmO7oNvP75Gs+8Mf/oD6+noNOiIiuUKskRi0fprebUhKnP8gDObQNq/HaOvuFUGplkwbUl59TJHHLMVTAgyH7ZqryOONmZDmceFHlkwbMo78BkZbd0TcK/ZD6cJFW1XuiqTweOF/DOZQpLz6mO7HkGG75qLL3XGajGWwuB8OQ97LaOsuVFdTVKFyJ7dLnP+gR1yXNOfO/xzHY62fEt0XRPctInKfJ58nEmaPROL8B/VugxQQYAz0iPuClrjuAdsyKRURkaeKMlkxL2eT3m1Iyh3yHIzB5jatIzYy2WMCPluTas3Ck6NWtPnxivCUsMWXpuxR5PHef+ck4eBiraRas7DyiXzERiYjqWe60DIbdy9QuSvfFW9JcXtZS+d4RXqI6pLQpuUjjb4zgVRsZLLu4e2p1iyM6DdZk7FMIQyl8kexkclCdWUXT6ncSfNyhzzvEef65kx9YIkm1zvkWUT3BdF9i4hat/LD6Xq3QLf4yeBnPfKeVav3IIhIXb/73e/Q0ND6RO5dAmMxqNvj2jREREREJMP52kJ8WbFBuH5Gvx3oEabspFx3mh+RFfD7ScliVDeWKdqD1rjdicjTdAmMxT3dfi5Zx+wEIiIi3+fRocqrVq3CuXPnWq3p2DkI0TOHaNQRERERkbYuflgoXJv89+kISVLnS/ZyA34vHz6jSh9a4XYnIl8V/fRQdDQFt1pz/vx5zrhI5MEsmTakrp6kdxstGrZrrqIBZa6gVE8Px9EytC9x/oOInSL2A3ql3Ro4rIQAYyBsC7MVWZcSkhZmY9D6aQiKNgEAwu+MFl620VGjVlskiMcL/+MKVtbrmKj0OU+KwRyq+GNtOO9UdH2kjpSluZI1l4+Xa9DJ7RLnP4gkDzqXu65VXOdy8j8i+4LIPkVEykic/6DHvYfBQGXf4ykTrvxYwuyRvAckIp+Xas3SPfSyNS9N2aNYqJorWNnTQoxc9Agzyh3yPDJSpmo23q1uDRxWQrDBiInDFyuyLiVMHL4Y83I2wWy8Mbl7XNd+wss66xxqteXTokxWt/dv1/OkRA/uykmbg2CDb03Kl544Di/kfqDb+E+OWqHZWMZgs+LH06ra84quj9QxPXO5ZM3ZSvHvsSotd8jzHnV+dJ3/lTrukncR2RdE9ikiklZSeUzvFuhHjMFmPDlqhce8J5GTNoeBykQ+4syZM9iwQToMLzP2N+jQLkCDjoiIiIjkKbz4oXDt9OS/o1tIkip9yA34PXP5sCp9aIXbnYg80dDopxHcsfXfkDA7gYiIyPd5bKhyQ0MDli1bJlnXc8796Ng5SIOOiIiIiLTV5KhF6Yo9QrWxC0YhLFXdLwubH7kTPZ4eJlRb9It3Ve1FTdzuROTLOhoD0ePpoZJ1L730EmdcJPJg0WP7Y9D6aXq38QNKh+3eymjrjpRXH0PC7JGKr7stEmaPxKD103QJx+kzL0vz7eEKA1I6pDDEGolhu+Yquk65LJk2DPnoaVhnDP/B38MSo4TXUVdyQeGuyB08XvgfgzkU/ZaM1zTU1ZJpw4h9z2kaqOwSN1nZUOXv6q8ouj5SR+f+MZI1+XM3a9BJ86wzhnvEtWnslHRVrlXIu4jsCyL7FBEpJ3psfwz56Gm92wBwI1Sdgcq+yWAOxaD10zzmXjBpYTYS5z/Ie0Ai8gvpieMwL2eT3m38gNKBuy6xkcl4ctQK5KTNUXS9bZWTNgfzcjbpEmb0k8HPar49XOFNSgcqRpmseGmK2HeF1JJqzcLiCZ9g9MCZP/h7T3Nf4XVUVJ9WuCv/Mbjvo7KXUfr1726wbn9rpqJ9eApbzH26BNq/NGWP5sfUjLseV3R9V5r4fR9vYI1KlaxZs322Bp20bPTAmR5xrZeRMlWV8z95D5F9QWSfIiJpF5ylerdAzfCUYOXpmcuRO+R5BioT+Yg//OEPuHKl9e+O9QwbgMQunhHqTkRERHSr2iYH9pSKTZA4KnYBeoSp+97RneZHMKyH2Hfk3i36haq9qInbnYg8VWBHI4YKHA+YnUBEROTbPDZU+a233kJZWVmrNYFxXWCZPFCjjoiIiIi0VfOV+JfSLP+mzZdBu04YIFx7Oc87v1TH7U5Evq7b44MQGNul1Zrz58/jf/7nfzTqiIjc4Qp0tGTa9G4FSQuzMWj9NFUD7AzmUCTOf9AjAvsA4N53Z+gaxOTaHlqFBQ1aP03VMCCjrbtuwcpJC7PR/78nwDQg9rb/GcyhiJ0iFmB6+Xi50q2Rm3i88E/WGcMx5KOnVT8vuo4ZIdZIVcdpidHWHSlLcxVb33d1DFX2BkZbd6HXdq29UoNumqf3tWnK0lz0WzKewYV+TmQfsGTadAnFJ/J3pgGxyDy2WLfAW9dEOjET03QZn7STOP9B3PvuDN3Gb2nSJiIiX5dqzcKr0w7pHuwDABOHL8a8nE2qBe4Zg83IHfK8R4QLAsALuR8gd8jzuo3v2h5aBSvPy9mkanhTbGSybsHKE4cvxsyHViEh6vbvxBuDzcJhu2crC5VuzW/EW1JkL9NL4fDGvj3dm1QvuktvRfvwJFoG2qdas/DSlD2Kh/KLiI1MxvTM5Yqtr7GpVrF1kXpiI5OFrp/Kq+wadNMyva/1pmcux7SRSxne6MdE9oFUa5Yux28iX6T3eYdaZgw2Y+ZDq3SZ7Mk1CdCIfpM1H5uI1HHmzBm88847rda0QztkxS1CO7TTpikiIiIiGUprvhKuTbX8m4qdfG9A1wnCtaWX81TsRD3c7kTkyQZ1exxdAm//feitmJ1ARETk2zwyVLmpqQkvv/yyZF2P2cPQrmMHDToiIiIi0l7VriKhuoQ3xqNDWKDK3dxgiA5HwhvjhWov7Tylcjfq4HYnIl/XLqADevx6qGTdkiVL0NTUpEFHROSuEGskBq2fhtTVk3QZP3ZKOkbse07ToBhLpg2ZxxYjaWG2ZmPeKmVpLrJOvQjzkARdxv8xtYNjkxZmI+PIbzQJSDTauiPz2GLhEOO2ip2Sjowjv4F1xnAEGFu+ro+bLNZP/tzNSrVGCuHxwv+YBsRi0PppuPfdGYoft2KnpGPYrrmSxwwtxExMUyyQsEbHEF6SJ3qcdEDLpaP6TrTlujbVMtTedT3KkEwCxPYBkX2JiNThmvxEi4kwbpW6elKLE+mQbzIPSUDWqRc1vxdMWZrL1xoR+bUokxXzcjZh1pg1uoyfkTIVr047hNEDZ2oyXqo1C2/+4iQmDl+syXg/Nj1zOdbOKoYt5j5dxv8xtYOmJw5fjJVP5GsS5hgbmYw3f3FSOMS4rTJSpmLlE/kYPXAmgg3GluvuelxofWu2z1aoM/8TZbLKfo1FKBzgHh0hPxw5J21Oq68dX+AKcH8h9wPVjgMZKVPx5KgVugZyjug3WbGAPIYheo/BfR+VrCmuyNegk9a5rvW0nFjCdX3H8EYS2QdE9iUiErNx9wK9W6BWBBuMN6+NtTJrzJoWJwEiIu/1yiuv4MqVK63WJJhGoEdof406IiIiIpKnqGqXUN34hDcQ2CFM5W5uCDdEY3zCG0K1py7tVLkbdXC7E5En69AuAEN7/FqyjtkJREREvquj3g005y9/+QvKysparQmM7QLz2H4adURERESkrSZHLSo2fClUGz74DpW7+SHTCLFAqNIVe9B9RrpmwcNK4HYnIn9hfjQFpa99jobiCy3WlJWVYfPmzZgwQXy2ViLSR/TY/ug6oi++/fQ48p7aoPp4CbNHovuYFBht3VUfqzkGcyisM4aje3YKLn55WpPHnLp6EsxDEmAwh6o+llyWTBsyjvwGRa/tQsm6/YqsM2lhNrpnpyAo2qTI+kQZzKHot2Q8uj+cgm/e+gwV2wsUHyNpYTYih/YWfv0abd0ROyVdaNs6C87ptl9Q83i88E/mIQkwD0mAs+AcKj87hcJFW91eV8rSXHTuH6PIvh1qjWzzOlwS5z8IU/8YHJq8VrF1kmcTCWgvez8P0WP1/zGTJdOGrFMv4ttPj6Ps/TxVzuexU9LR/eEUBtfTD5S9nydZ03VEXw06IaLWuCbCcOwtwrm/5yt2H/tjqasnocvdcZrf15JnCDAG3rwXrPy/k6pOhMTXGhHRD6UnjsNd8Rn4Z/FOrPxwuurj5aTNwT19snUJwTQGmzF64Ezc0/sRnDp3SJPHO2vMGiTHDIUx2Kz6WHKlWrOw8ol8/O2L/8LO/LcVWefE4YtxT+9HYFY4uFaKMdiMaSOXIq3PI/jHkdXIs29TfIyJwxcjOXaY8Gs3NjIZGSlThbZtSeUxXYNhvdngvo/Ker4jjTGKjm8K6SZ7mf7WTEV78GS2mPsQb0lR/BwzL2eTJqHtInKHPI9eUal4ZQu/p+MvkmOGStbsO/4e0hPHadCNtFRrFtbOKsY/i3di3/H3VDlHZqRMRVqfRzxm8gjS377j70nW3BWfoUEnRESewxZz381zslrvR8waswZ3xWf4/CQuRP7o0qVLeOeddyTrhvd4Rv1miIiIiNxQ2+TAlxVivwu5I3ywyt38UIJphFDdntIVSO8+Q7PgYSVwuxORN0gxP4rPS1/DhYbiFmuYnUBEROS7PDJUeeXKlZI1/4+9u49vur73//+CXqVNmxIaTEtLC60d2CKVQpXL1SEFtilTh+x7xoV4/DKHu3n44jjo+e77qwfOue3Codw4fidObn5FUc8ZYzLQbUARqSBWLuq4aAd2BQotJRKITVuaUsp+f3DquGiSd9p8Pp8kfdz/5PP65P3Mu2lI0uSZ9MVfl37R/XVIAwAAoL+Wz+qV5jIWF0uMzaxxmhtFJZkkY3Gx1K8u9zt7qcYpSYX6fripN9h3AH1Fv6j+kv6jSVK7dLPPuVWrVvGHASBMxFhMkv7gaEl/cLS4q87Kl5+dlnPbq4JWYpe7pERsE2+X5FFDJMYSGl/eEJ9ulfR0qybX2T4tX1Kn5QetSFNr8elWGfWLWTJ0/gQ5+/4hqVlVFvBlZD06Qez33SEDCrMML4O9vhC1p9fnerlLSsQ6OrPH1y3nB8VKRV9n3z8UFreXvoj7i77Jkj9YLPmDJWfRvdJae17aGr+US6cuSEezRy58UnvLzz/r0QliHmqTxJxBEp9uDfrPMyohNqiX11Wqf3bLoR4XR1cv3yI5i+4Nai5oI86WKHnPzfT5s3ZsrwqZgv/uHpv2tszQPi1f0h8ulAF3Zog5iCXliAzuqrN+/1/Pe25myDyXAfD35305PyiWL4/UB6WIP3dJidin5klirp3fd4jIteeCmXPHSdrMu6SlxiGOHdW9fo1BhNsaAPiTEGeRCSMelgkjHpa680eltrFSDtZuC1rp3kPjfvxVsWYoFPvYLBlis2Rocn0Lc2bImJzpkpNWGBYluTZLhjxeslKm3rVAPj2+RTZVvBDwZUwteExGZ0+V29PGGl4enZ85WfIzJ0vd+aM9vj7Xe2jcj+X2tMIeX7dvjV2kVKr86fEtYXF7CUXD7AXKs1MLHgv6fZAlwSaFOTMCuv+wJw8NaoZQd/3/MTWNB+Sz2u09+t0szJkhE+/4bkiWxHWV1H/6+WZ5a1dpjy7jrV2l8u2xPwpyMmjBkmCTufeu8PmzrqzdGlKF+d091lu7fUmvLrPrd3KYvUDSrDlBSopIUHf+qN//F+feuyLk7ssBQA9d/yffNWyqNFz8vMePja83994V8rX0eyQ3bWyQUgIIRa+++qq0tLT4nLl9wDckPfEunRIBAAAEpr7lM6W54ozFYo7R9++NpqgkKc5YLOX1q/3OOi/VSEZSoQ6pgoN9BxAO+veLkknpP5LNtUt9ztGdAABAZOr3t7/97W9Gh7jexx9/LJMmTfI5E5dpldG7n5J+0VE6pQIAANDXmed3KpXnjnxvoSHluc2V9XL0gbV+57Kfnyn2OWN0SBQc7DuAvuRvVzrls8kvSftpl8+5PXv2yMSJ+n47LCLbv/7rv8ry5cu9Hk/6ml3u/egZHRNFtnZni7Q73HLZ1fpVkWSHu81rgUxXoaQpLVnibIliHmaT+HSrzql75/rr3HSkQUSk2/JMkWvlfCnjr30oL/nOdImKj5WErBTdS4XfS31aae6Bcy8qzXW4PdJS45DmvzRKR7PnlgLGruttSkuWhCEDDbnOgeoqRO36mXorlcx7bqaIXPt5xqcNkNhBSRQcwatwvL9A6HEdrJM93/b/BrzxGxeJbVKuJhk63B5pO3NRmmsc4mlsktZTzlvK4G++DcdazRJnt3AbDiPuqrNSft9KnzMFK2dL5txxOiUKXFuDS1pPOqXd2SKexiavj0uvf0yaMGSgmFItYfeYFPo6/VaF3+LuKR//C4XcQIjrenze1uCSltrzItL9c7+uxzUxSSZJGJoi8WkD+P1GQG5+TNLd42cRbmtGOr5ym3y+cpvX43l5eVJVFZwvk0PftWHDBvne977nc+Y/l17QKU3f4L7kFFfrOWlpc4njy5PSdrlZWj1NXgt/phY8JqnWYWJNTJPkhEFiHzBMbJbw+XLp66/vqS8Oi4hI9Zm93ZbCFebMkLwhE0REZOhtoyQ2Jl7syUN1LxX+h5UpSnOqvxuX2t3ScPFzOXO+WtouN99SGNl1va2JaTIoOdOQ6xyoRletXGw++9XP1FsJ5tx7V4jItZ/nwKTBkpwwiLI/QCOX2t1y3n1aLrjrpdFVK+dcJ28pIO/6P6XrdzJcSlu7rlvDhc/F1dLY7XW7+f+QxHirWM2pIX9/ir+rO39Unn2j2OfMwmmrZMqo+Tol6hmnu14cX56UpkvnxdXS6PVx3vWP8QYlZ4rVnBpWj/Ggr52H3/Rb2v3i4/vC5n4dALTW9fjx+tciunve2vUYMj42SewDhoXday7hbPV7/ygVxzd7Pf7II4/Ihg29+8JqwJcrV65ITk6OnD592ufc/xy5RYYk8Zk0AAAQmnaeeV6pPHfhyPcMKc+tb66UtUcf8Ds3M/t5GWMPn0JP9h1AuOj82xV56bPJ4mr3/dyX7gQAACLOb0OuVPmRRx6RjRs3+pwZ9m/fktR/vEenRAD6ms5mj3jOfClXXG3SerRROps83RZsZpVOl6jEOEm4wy6mTKvE2MwGpI087Q1N4jl1UTynLkpnS7vUrbj1g3L2eUViGjZQ4rNTJDY9WUxDBkhUEgVJiCyfpD+nNDf20DJD7n86mz2yb8TPlGbHN3gvTQw17DuAvqbxtQo5VfonnzO8QRPBRqkycKtglyoDAPTj3FMjn8xa43du6sH/j1JY9NrhZzZ2W/h3PR4voC/y93g669EJMuoXs3RKAwAAeotSZeiBUmXgVsEuVQYAAGpeK1t6S2H2zfj/F32Rv8enUwsek8dLfH8hKQAAoYRSZRjtt7/9rcyePdvnTGbS3fL4yE06JQIQbjydzfKl54y0XXFJY+tR8XQ2dVuwOT2rVOKiEsWecIdYTZlijuELwHqrqb1BLnpOyUXPKWnvbJFtdStumSmyz5OBpmGSEp8tybHpMsA0RExRSQakBbT13CfpSnPLxh4y5P7H09ksP9s3Qml2+fgGjdMED/sOIJxUNL4mfzrV/Zdkd+F1GAAAIs5vo41OcD2HwyGbN3v/o5CISFRSnAx65C6dEgHoS5or6+XLHZ93W6DcnZvLfu3ziiTlgXxJnjjM53ntDU1Sebf/UoOs0uky+IkJSlluploK2pvCzWCu4TlxQZo+OSUnlm1RukzH+v23/FvX/ieOStO0YFmPvQXaG5qU5uzzigwrdI9KMknG4mKl+8z2hiaJS0/WIVXvsO8A+qLbvjdazvzyQ+ls9nid2bRpk5w7d05SU1N1TAYAAACEh3Zni9ER0IcMfqDAb6my62CdWMdk6ZQIMJ7rYJ3fmaHze/b3NgAAAAAAAADQ2rjh3/FbqlzTeEBy08bqlAgwXk3jAb8zU+9aoH0QAACACPLKK6/4nZkweKEOSQCEm/rmSvn8yx3dFih35+bC3yL7PMlPeUCGJU/0eV5Te4O8WHm338ufnlUqEwY/oZTleqqFoL0p2wzmGhc8J+RU0yey5cQypcvc71h/y7917X1a4ijNC5b12F+gqV3t9lNkn2dYobspKkmKMxYr3Wc2tTdIcpza746R2HcA4Wb0bd+TD8/8UjydzV5n6E4AACDyhFSp8pt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+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.datasets import load_iris\n",
+    "iris = load_iris()\n",
+    "\n",
+    "# Model (can also use single decision tree)\n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "model = RandomForestClassifier(n_estimators=10)\n",
+    "\n",
+    "# Train\n",
+    "model.fit(iris.data, iris.target)\n",
+    "# Extract single tree\n",
+    "estimator = model.estimators_[5]\n",
+    "\n",
+    "from sklearn.tree import export_graphviz\n",
+    "# Export as dot file\n",
+    "export_graphviz(estimator, out_file='tree.dot', \n",
+    "                feature_names = iris.feature_names,\n",
+    "                class_names = iris.target_names,\n",
+    "                rounded = True, proportion = False, \n",
+    "                precision = 2, filled = True)\n",
+    "\n",
+    "# Convert to png using system command (requires Graphviz)\n",
+    "from subprocess import call\n",
+    "call(['dot', '-Tpng', 'tree.dot', '-o', 'tree.png', '-Gdpi=600'])\n",
+    "\n",
+    "# Display in jupyter notebook\n",
+    "from IPython.display import Image\n",
+    "Image(filename = 'tree.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "VSnWoCRUSpNY"
+   },
+   "source": [
+    "Notice how each split seperates the data into buckets of similar observations. This is a single tree and a relatively simple classification dataset, but the same method is used in a more complex dataset with greater depth to the trees."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "tJ2aGPMZB5X8"
+   },
+   "source": [
+    "## Coronavirus\n",
+    "Coronavirus disease (COVID-19) is an infectious disease caused by a new virus.\n",
+    "The disease causes respiratory illness (like the flu) with symptoms such as a cough, fever, and in more severe cases, difficulty breathing. You can protect yourself by washing your hands frequently, avoiding touching your face, and avoiding close contact (1 meter or 3 feet) with people who are unwell. An outbreak of COVID-19 started in December 2019 and at the time of the creation of this project was continuing to spread throughout the world. Many governments recommended only essential outings to public places and closed most business that do not serve food or sell essential items. An excellent [spatial dashboard](https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6) built by Johns Hopkins shows the daily confirmed cases by country. \n",
+    "\n",
+    "This case study was designed to drive home the important role that data science plays in real-world situations like this pandemic. This case study uses the Random Forest Classifier and a dataset from the South Korean cases of COVID-19 provided on [Kaggle](https://www.kaggle.com/kimjihoo/coronavirusdataset) to encourage research on this important topic. The goal of the case study is to build a Random Forest Classifier to predict the 'state' of the patient."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "7PrMkSjBQEMZ"
+   },
+   "source": [
+    "First, please load the needed packages and modules into Python. Next, load the data into a pandas dataframe for ease of use."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "X3EhD-LSB5YI"
+   },
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import pandas as pd\n",
+    "from datetime import datetime,timedelta\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "%matplotlib inline\n",
+    "import plotly.graph_objects as go\n",
+    "from sklearn.experimental import enable_iterative_imputer\n",
+    "from sklearn.impute import IterativeImputer\n",
+    "from sklearn.ensemble import ExtraTreesRegressor\n",
+    "from datetime import date"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "CiJQlTK1SpNd"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>patient_id</th>\n",
+       "      <th>global_num</th>\n",
+       "      <th>sex</th>\n",
+       "      <th>birth_year</th>\n",
+       "      <th>age</th>\n",
+       "      <th>country</th>\n",
+       "      <th>province</th>\n",
+       "      <th>city</th>\n",
+       "      <th>disease</th>\n",
+       "      <th>infection_case</th>\n",
+       "      <th>infection_order</th>\n",
+       "      <th>infected_by</th>\n",
+       "      <th>contact_number</th>\n",
+       "      <th>symptom_onset_date</th>\n",
+       "      <th>confirmed_date</th>\n",
+       "      <th>released_date</th>\n",
+       "      <th>deceased_date</th>\n",
+       "      <th>state</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1000000001</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1964.0</td>\n",
+       "      <td>50s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Gangseo-gu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>overseas inflow</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>2020-01-22</td>\n",
+       "      <td>2020-01-23</td>\n",
+       "      <td>2020-02-05</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>released</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1000000002</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1987.0</td>\n",
+       "      <td>30s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Jungnang-gu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>overseas inflow</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2020-01-30</td>\n",
+       "      <td>2020-03-02</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>released</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1000000003</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1964.0</td>\n",
+       "      <td>50s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Jongno-gu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>contact with patient</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.002000e+09</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2020-01-30</td>\n",
+       "      <td>2020-02-19</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>released</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1000000004</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1991.0</td>\n",
+       "      <td>20s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Mapo-gu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>overseas inflow</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>2020-01-26</td>\n",
+       "      <td>2020-01-30</td>\n",
+       "      <td>2020-02-15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>released</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1000000005</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1992.0</td>\n",
+       "      <td>20s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Seongbuk-gu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>contact with patient</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.000000e+09</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>2020-02-24</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>released</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   patient_id  global_num     sex  birth_year  age country province  \\\n",
+       "0  1000000001         2.0    male      1964.0  50s   Korea    Seoul   \n",
+       "1  1000000002         5.0    male      1987.0  30s   Korea    Seoul   \n",
+       "2  1000000003         6.0    male      1964.0  50s   Korea    Seoul   \n",
+       "3  1000000004         7.0    male      1991.0  20s   Korea    Seoul   \n",
+       "4  1000000005         9.0  female      1992.0  20s   Korea    Seoul   \n",
+       "\n",
+       "          city disease        infection_case  infection_order   infected_by  \\\n",
+       "0   Gangseo-gu     NaN       overseas inflow              1.0           NaN   \n",
+       "1  Jungnang-gu     NaN       overseas inflow              1.0           NaN   \n",
+       "2    Jongno-gu     NaN  contact with patient              2.0  2.002000e+09   \n",
+       "3      Mapo-gu     NaN       overseas inflow              1.0           NaN   \n",
+       "4  Seongbuk-gu     NaN  contact with patient              2.0  1.000000e+09   \n",
+       "\n",
+       "   contact_number symptom_onset_date confirmed_date released_date  \\\n",
+       "0            75.0         2020-01-22     2020-01-23    2020-02-05   \n",
+       "1            31.0                NaN     2020-01-30    2020-03-02   \n",
+       "2            17.0                NaN     2020-01-30    2020-02-19   \n",
+       "3             9.0         2020-01-26     2020-01-30    2020-02-15   \n",
+       "4             2.0                NaN     2020-01-31    2020-02-24   \n",
+       "\n",
+       "  deceased_date     state  \n",
+       "0           NaN  released  \n",
+       "1           NaN  released  \n",
+       "2           NaN  released  \n",
+       "3           NaN  released  \n",
+       "4           NaN  released  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "url ='C:/Users/jwatki8\\Downloads/RandomForest Covid Case Study_06302020/SouthKoreacoronavirusdataset/PatientInfo.csv'\n",
+    "df = pd.read_csv(url)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "GUY5Cp2cSpNg"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2218, 18)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "oxKUKR_pSpNi"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VarName</th>\n",
+       "      <th>NullCount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>disease</td>\n",
+       "      <td>2199</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>deceased_date</td>\n",
+       "      <td>2186</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>infection_order</td>\n",
+       "      <td>2176</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>symptom_onset_date</td>\n",
+       "      <td>2025</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>released_date</td>\n",
+       "      <td>1995</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>contact_number</td>\n",
+       "      <td>1807</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>infected_by</td>\n",
+       "      <td>1749</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>infection_case</td>\n",
+       "      <td>1055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>global_num</td>\n",
+       "      <td>904</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>birth_year</td>\n",
+       "      <td>454</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>age</td>\n",
+       "      <td>261</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>sex</td>\n",
+       "      <td>145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>confirmed_date</td>\n",
+       "      <td>141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>state</td>\n",
+       "      <td>88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>city</td>\n",
+       "      <td>65</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               VarName  NullCount\n",
+       "0              disease       2199\n",
+       "1        deceased_date       2186\n",
+       "2      infection_order       2176\n",
+       "3   symptom_onset_date       2025\n",
+       "4        released_date       1995\n",
+       "5       contact_number       1807\n",
+       "6          infected_by       1749\n",
+       "7       infection_case       1055\n",
+       "8           global_num        904\n",
+       "9           birth_year        454\n",
+       "10                 age        261\n",
+       "11                 sex        145\n",
+       "12      confirmed_date        141\n",
+       "13               state         88\n",
+       "14                city         65"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Counts of null values \n",
+    "na_df=pd.DataFrame(df.isnull().sum().sort_values(ascending=False)).reset_index()\n",
+    "na_df.columns = ['VarName', 'NullCount']\n",
+    "na_df[(na_df['NullCount']>0)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "NhPtmRWdSpNl"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "isolated    1791\n",
+       "released     307\n",
+       "deceased      32\n",
+       "Name: state, dtype: int64"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#counts of response variable values\n",
+    "df.state.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "06e0gqMzSpNp"
+   },
+   "source": [
+    " **<font color='teal'> Create a new column named 'n_age' which is the calculated age based on the birth year column.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "DVCW7LBRSpNp"
+   },
+   "outputs": [],
+   "source": [
+    "today = date.today()\n",
+    "df['n_age']=today.year - df['birth_year']\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>patient_id</th>\n",
+       "      <th>global_num</th>\n",
+       "      <th>sex</th>\n",
+       "      <th>birth_year</th>\n",
+       "      <th>age</th>\n",
+       "      <th>country</th>\n",
+       "      <th>province</th>\n",
+       "      <th>city</th>\n",
+       "      <th>disease</th>\n",
+       "      <th>infection_case</th>\n",
+       "      <th>infection_order</th>\n",
+       "      <th>infected_by</th>\n",
+       "      <th>contact_number</th>\n",
+       "      <th>symptom_onset_date</th>\n",
+       "      <th>confirmed_date</th>\n",
+       "      <th>released_date</th>\n",
+       "      <th>deceased_date</th>\n",
+       "      <th>state</th>\n",
+       "      <th>n_age</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1000000001</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1964.0</td>\n",
+       "      <td>50s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Gangseo-gu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>overseas inflow</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>2020-01-22</td>\n",
+       "      <td>2020-01-23</td>\n",
+       "      <td>2020-02-05</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>released</td>\n",
+       "      <td>59.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1000000002</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1987.0</td>\n",
+       "      <td>30s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Jungnang-gu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>overseas inflow</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2020-01-30</td>\n",
+       "      <td>2020-03-02</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>released</td>\n",
+       "      <td>36.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1000000003</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1964.0</td>\n",
+       "      <td>50s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Jongno-gu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>contact with patient</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.002000e+09</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2020-01-30</td>\n",
+       "      <td>2020-02-19</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>released</td>\n",
+       "      <td>59.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1000000004</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1991.0</td>\n",
+       "      <td>20s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Mapo-gu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>overseas inflow</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>2020-01-26</td>\n",
+       "      <td>2020-01-30</td>\n",
+       "      <td>2020-02-15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>released</td>\n",
+       "      <td>32.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1000000005</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1992.0</td>\n",
+       "      <td>20s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Seongbuk-gu</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>contact with patient</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.000000e+09</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>2020-02-24</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>released</td>\n",
+       "      <td>31.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   patient_id  global_num     sex  birth_year  age country province  \\\n",
+       "0  1000000001         2.0    male      1964.0  50s   Korea    Seoul   \n",
+       "1  1000000002         5.0    male      1987.0  30s   Korea    Seoul   \n",
+       "2  1000000003         6.0    male      1964.0  50s   Korea    Seoul   \n",
+       "3  1000000004         7.0    male      1991.0  20s   Korea    Seoul   \n",
+       "4  1000000005         9.0  female      1992.0  20s   Korea    Seoul   \n",
+       "\n",
+       "          city disease        infection_case  infection_order   infected_by  \\\n",
+       "0   Gangseo-gu     NaN       overseas inflow              1.0           NaN   \n",
+       "1  Jungnang-gu     NaN       overseas inflow              1.0           NaN   \n",
+       "2    Jongno-gu     NaN  contact with patient              2.0  2.002000e+09   \n",
+       "3      Mapo-gu     NaN       overseas inflow              1.0           NaN   \n",
+       "4  Seongbuk-gu     NaN  contact with patient              2.0  1.000000e+09   \n",
+       "\n",
+       "   contact_number symptom_onset_date confirmed_date released_date  \\\n",
+       "0            75.0         2020-01-22     2020-01-23    2020-02-05   \n",
+       "1            31.0                NaN     2020-01-30    2020-03-02   \n",
+       "2            17.0                NaN     2020-01-30    2020-02-19   \n",
+       "3             9.0         2020-01-26     2020-01-30    2020-02-15   \n",
+       "4             2.0                NaN     2020-01-31    2020-02-24   \n",
+       "\n",
+       "  deceased_date     state  n_age  \n",
+       "0           NaN  released   59.0  \n",
+       "1           NaN  released   36.0  \n",
+       "2           NaN  released   59.0  \n",
+       "3           NaN  released   32.0  \n",
+       "4           NaN  released   31.0  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "w9t91IzDSpNr"
+   },
+   "source": [
+    "### Handle Missing Values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Fm1TjGDhSpNs"
+   },
+   "source": [
+    " **<font color='teal'> Print the number of missing values by column.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "PAtr2t3rSpNs"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                 index     0\n",
+      "0              disease  2199\n",
+      "1        deceased_date  2186\n",
+      "2      infection_order  2176\n",
+      "3   symptom_onset_date  2025\n",
+      "4        released_date  1995\n",
+      "5       contact_number  1807\n",
+      "6          infected_by  1749\n",
+      "7       infection_case  1055\n",
+      "8           global_num   904\n",
+      "9                n_age   454\n",
+      "10          birth_year   454\n",
+      "11                 age   261\n",
+      "12                 sex   145\n",
+      "13      confirmed_date   141\n",
+      "14               state    88\n",
+      "15                city    65\n",
+      "16            province     0\n",
+      "17             country     0\n",
+      "18          patient_id     0\n"
+     ]
+    }
+   ],
+   "source": [
+    "na_df=pd.DataFrame(df.isnull().sum().sort_values(ascending=False)).reset_index()\n",
+    "print(na_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "I8B5cY19SpNu"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 2218 entries, 0 to 2217\n",
+      "Data columns (total 19 columns):\n",
+      " #   Column              Non-Null Count  Dtype  \n",
+      "---  ------              --------------  -----  \n",
+      " 0   patient_id          2218 non-null   int64  \n",
+      " 1   global_num          1314 non-null   float64\n",
+      " 2   sex                 2073 non-null   object \n",
+      " 3   birth_year          1764 non-null   float64\n",
+      " 4   age                 1957 non-null   object \n",
+      " 5   country             2218 non-null   object \n",
+      " 6   province            2218 non-null   object \n",
+      " 7   city                2153 non-null   object \n",
+      " 8   disease             19 non-null     object \n",
+      " 9   infection_case      1163 non-null   object \n",
+      " 10  infection_order     42 non-null     float64\n",
+      " 11  infected_by         469 non-null    float64\n",
+      " 12  contact_number      411 non-null    float64\n",
+      " 13  symptom_onset_date  193 non-null    object \n",
+      " 14  confirmed_date      2077 non-null   object \n",
+      " 15  released_date       223 non-null    object \n",
+      " 16  deceased_date       32 non-null     object \n",
+      " 17  state               2130 non-null   object \n",
+      " 18  n_age               1764 non-null   float64\n",
+      "dtypes: float64(6), int64(1), object(12)\n",
+      "memory usage: 329.4+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "zjLpYG_ASpNw"
+   },
+   "source": [
+    " **<font color='teal'> Fill the 'disease' missing values with 0 and remap the True values to 1.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "NHBtVW1ESpNx"
+   },
+   "outputs": [],
+   "source": [
+    "df['disease']=df['disease'].fillna(0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False    2218\n",
+       "Name: disease, dtype: int64"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['disease'].isnull().value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['disease']=df['disease'].astype('int64')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       0\n",
+       "1       0\n",
+       "2       0\n",
+       "3       0\n",
+       "4       0\n",
+       "       ..\n",
+       "2213    0\n",
+       "2214    0\n",
+       "2215    0\n",
+       "2216    0\n",
+       "2217    0\n",
+       "Name: disease, Length: 2218, dtype: int64"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.disease.replace('True',1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0, 1], dtype=int64)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['disease'].unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "fZArBBUhSpNz"
+   },
+   "source": [
+    " **<font color='teal'> Fill null values in the following columns with their mean: 'global_number','birth_year','infection_order','infected_by'and 'contact_number'</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "zQdarDx_SpNz"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "global_num  birth_year  infection_order  infected_by  contact_number\n",
+       "False       False       False            False        False             2218\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[['global_num','birth_year','infection_order','infected_by','contact_number']]=df[['global_num','birth_year','infection_order','infected_by','contact_number']].fillna(df[['global_num','birth_year','infection_order','infected_by','contact_number']].mean())\n",
+    "df[['global_num','birth_year','infection_order','infected_by','contact_number']].isnull().value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Coy_jYEbSpN2"
+   },
+   "source": [
+    " **<font color='teal'> Fill the rest of the missing values with any method.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                 index     0\n",
+      "0        deceased_date  2186\n",
+      "1   symptom_onset_date  2025\n",
+      "2        released_date  1995\n",
+      "3       infection_case  1055\n",
+      "4                n_age   454\n",
+      "5                  age   261\n",
+      "6                  sex   145\n",
+      "7       confirmed_date   141\n",
+      "8                state    88\n",
+      "9                 city    65\n",
+      "10             country     0\n",
+      "11            province     0\n",
+      "12             disease     0\n",
+      "13          global_num     0\n",
+      "14     infection_order     0\n",
+      "15         infected_by     0\n",
+      "16      contact_number     0\n",
+      "17          birth_year     0\n",
+      "18          patient_id     0\n"
+     ]
+    }
+   ],
+   "source": [
+    "na_df=pd.DataFrame(df.isnull().sum().sort_values(ascending=False)).reset_index()\n",
+    "print(na_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "ATJ84cdDSpN2"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 2218 entries, 0 to 2217\n",
+      "Data columns (total 19 columns):\n",
+      " #   Column              Non-Null Count  Dtype  \n",
+      "---  ------              --------------  -----  \n",
+      " 0   patient_id          2218 non-null   int64  \n",
+      " 1   global_num          2218 non-null   float64\n",
+      " 2   sex                 2073 non-null   object \n",
+      " 3   birth_year          2218 non-null   float64\n",
+      " 4   age                 1957 non-null   object \n",
+      " 5   country             2218 non-null   object \n",
+      " 6   province            2218 non-null   object \n",
+      " 7   city                2153 non-null   object \n",
+      " 8   disease             2218 non-null   int64  \n",
+      " 9   infection_case      1163 non-null   object \n",
+      " 10  infection_order     2218 non-null   float64\n",
+      " 11  infected_by         2218 non-null   float64\n",
+      " 12  contact_number      2218 non-null   float64\n",
+      " 13  symptom_onset_date  193 non-null    object \n",
+      " 14  confirmed_date      2077 non-null   object \n",
+      " 15  released_date       223 non-null    object \n",
+      " 16  deceased_date       32 non-null     object \n",
+      " 17  state               2130 non-null   object \n",
+      " 18  n_age               1764 non-null   float64\n",
+      "dtypes: float64(6), int64(2), object(11)\n",
+      "memory usage: 329.4+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['n_age']=df['n_age'].fillna(df['n_age'].mean())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#df[['sex','state','city','age','infection_case']]=df[['sex','state','city','age','infection_case','infection_order']].fillna(df[['sex','state','city','age','infection_case','infection_order']].mode().iat[0])\n",
+    "#df['sex']=df['sex'].fillna(df['sex'].mode())\n",
+    "df['sex'] = df['sex'].fillna(df['sex'].mode().iat[0])\n",
+    "df['state']=df['state'].fillna(df['state'].mode().iat[0])\n",
+    "df['city']=df['city'].fillna(df['city'].mode().iat[0])\n",
+    "df['age']=df['age'].fillna(df['age'].mode().iat[0])\n",
+    "df['infection_case']=df['infection_case'].fillna(df['infection_case'].mode().iat[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#df[['symptom_onset_date','deceased_date','released_date']]= pd.to_datetime(df[['symptom_onset_date','deceased_date','released_date']])\n",
+    "df['symptom_onset_date']= pd.to_datetime(df['symptom_onset_date'])\n",
+    "df['deceased_date']= pd.to_datetime(df['deceased_date'])\n",
+    "df['released_date']= pd.to_datetime(df['released_date'])\n",
+    "df['confirmed_date']= pd.to_datetime(df['confirmed_date'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#df[['deceased_date','symptom_onset_date','released_date']]=df[['deceased_date','symptom_onset_date','released_date']].fillna(df[['deceased_date','symptom_onset_date','released_date']].median())\n",
+    "df['symptom_onset_date']=df['symptom_onset_date'].fillna(df['symptom_onset_date'].median())\n",
+    "df['released_date']=df['released_date'].fillna(df['released_date'].median())\n",
+    "df['deceased_date']=df['deceased_date'].fillna(df['deceased_date'].median())\n",
+    "df['confirmed_date']=df['confirmed_date'].fillna(df['confirmed_date'].median())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "kGi4NkcbSpN4"
+   },
+   "source": [
+    " **<font color='teal'> Check for any remaining null values.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "82lVA3vUSpN5"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                 index  0\n",
+      "0           patient_id  0\n",
+      "1      infection_order  0\n",
+      "2                state  0\n",
+      "3        deceased_date  0\n",
+      "4        released_date  0\n",
+      "5       confirmed_date  0\n",
+      "6   symptom_onset_date  0\n",
+      "7       contact_number  0\n",
+      "8          infected_by  0\n",
+      "9       infection_case  0\n",
+      "10          global_num  0\n",
+      "11             disease  0\n",
+      "12                city  0\n",
+      "13            province  0\n",
+      "14             country  0\n",
+      "15                 age  0\n",
+      "16          birth_year  0\n",
+      "17                 sex  0\n",
+      "18               n_age  0\n"
+     ]
+    }
+   ],
+   "source": [
+    "na_df=pd.DataFrame(df.isnull().sum().sort_values(ascending=False)).reset_index()\n",
+    "print(na_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "55CJRFKtSpN7"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>patient_id</th>\n",
+       "      <th>global_num</th>\n",
+       "      <th>sex</th>\n",
+       "      <th>birth_year</th>\n",
+       "      <th>age</th>\n",
+       "      <th>country</th>\n",
+       "      <th>province</th>\n",
+       "      <th>city</th>\n",
+       "      <th>disease</th>\n",
+       "      <th>infection_case</th>\n",
+       "      <th>infection_order</th>\n",
+       "      <th>infected_by</th>\n",
+       "      <th>contact_number</th>\n",
+       "      <th>symptom_onset_date</th>\n",
+       "      <th>confirmed_date</th>\n",
+       "      <th>released_date</th>\n",
+       "      <th>deceased_date</th>\n",
+       "      <th>state</th>\n",
+       "      <th>n_age</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1000000001</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1964.0</td>\n",
+       "      <td>50s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Gangseo-gu</td>\n",
+       "      <td>0</td>\n",
+       "      <td>overseas inflow</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.600789e+09</td>\n",
+       "      <td>75.0</td>\n",
+       "      <td>2020-01-22</td>\n",
+       "      <td>2020-01-23</td>\n",
+       "      <td>2020-02-05</td>\n",
+       "      <td>2020-03-02</td>\n",
+       "      <td>released</td>\n",
+       "      <td>59.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1000000002</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1987.0</td>\n",
+       "      <td>30s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Jungnang-gu</td>\n",
+       "      <td>0</td>\n",
+       "      <td>overseas inflow</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.600789e+09</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>2020-02-27</td>\n",
+       "      <td>2020-01-30</td>\n",
+       "      <td>2020-03-02</td>\n",
+       "      <td>2020-03-02</td>\n",
+       "      <td>released</td>\n",
+       "      <td>36.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1000000003</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1964.0</td>\n",
+       "      <td>50s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Jongno-gu</td>\n",
+       "      <td>0</td>\n",
+       "      <td>contact with patient</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.002000e+09</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>2020-02-27</td>\n",
+       "      <td>2020-01-30</td>\n",
+       "      <td>2020-02-19</td>\n",
+       "      <td>2020-03-02</td>\n",
+       "      <td>released</td>\n",
+       "      <td>59.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1000000004</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1991.0</td>\n",
+       "      <td>20s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Mapo-gu</td>\n",
+       "      <td>0</td>\n",
+       "      <td>overseas inflow</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.600789e+09</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>2020-01-26</td>\n",
+       "      <td>2020-01-30</td>\n",
+       "      <td>2020-02-15</td>\n",
+       "      <td>2020-03-02</td>\n",
+       "      <td>released</td>\n",
+       "      <td>32.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1000000005</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1992.0</td>\n",
+       "      <td>20s</td>\n",
+       "      <td>Korea</td>\n",
+       "      <td>Seoul</td>\n",
+       "      <td>Seongbuk-gu</td>\n",
+       "      <td>0</td>\n",
+       "      <td>contact with patient</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.000000e+09</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2020-02-27</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>2020-02-24</td>\n",
+       "      <td>2020-03-02</td>\n",
+       "      <td>released</td>\n",
+       "      <td>31.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   patient_id  global_num     sex  birth_year  age country province  \\\n",
+       "0  1000000001         2.0    male      1964.0  50s   Korea    Seoul   \n",
+       "1  1000000002         5.0    male      1987.0  30s   Korea    Seoul   \n",
+       "2  1000000003         6.0    male      1964.0  50s   Korea    Seoul   \n",
+       "3  1000000004         7.0    male      1991.0  20s   Korea    Seoul   \n",
+       "4  1000000005         9.0  female      1992.0  20s   Korea    Seoul   \n",
+       "\n",
+       "          city  disease        infection_case  infection_order   infected_by  \\\n",
+       "0   Gangseo-gu        0       overseas inflow              1.0  2.600789e+09   \n",
+       "1  Jungnang-gu        0       overseas inflow              1.0  2.600789e+09   \n",
+       "2    Jongno-gu        0  contact with patient              2.0  2.002000e+09   \n",
+       "3      Mapo-gu        0       overseas inflow              1.0  2.600789e+09   \n",
+       "4  Seongbuk-gu        0  contact with patient              2.0  1.000000e+09   \n",
+       "\n",
+       "   contact_number symptom_onset_date confirmed_date released_date  \\\n",
+       "0            75.0         2020-01-22     2020-01-23    2020-02-05   \n",
+       "1            31.0         2020-02-27     2020-01-30    2020-03-02   \n",
+       "2            17.0         2020-02-27     2020-01-30    2020-02-19   \n",
+       "3             9.0         2020-01-26     2020-01-30    2020-02-15   \n",
+       "4             2.0         2020-02-27     2020-01-31    2020-02-24   \n",
+       "\n",
+       "  deceased_date     state  n_age  \n",
+       "0    2020-03-02  released   59.0  \n",
+       "1    2020-03-02  released   36.0  \n",
+       "2    2020-03-02  released   59.0  \n",
+       "3    2020-03-02  released   32.0  \n",
+       "4    2020-03-02  released   31.0  "
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "PK9Jk8KgSpN9"
+   },
+   "source": [
+    "Remove date columns from the data.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "xIbYDncMSpN9"
+   },
+   "outputs": [],
+   "source": [
+    "df = df.drop(['symptom_onset_date','confirmed_date','released_date','deceased_date'],axis =1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "RDBxf5ZDB5ZZ"
+   },
+   "source": [
+    "Review the count of unique values by column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "PIdCkZ4AB5Zf"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "patient_id         2218\n",
+      "global_num         1304\n",
+      "sex                   2\n",
+      "birth_year           97\n",
+      "age                  11\n",
+      "country               4\n",
+      "province             17\n",
+      "city                134\n",
+      "disease               2\n",
+      "infection_case       16\n",
+      "infection_order       7\n",
+      "infected_by         207\n",
+      "contact_number       73\n",
+      "state                 3\n",
+      "n_age                97\n",
+      "dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df.nunique())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "9oENi5DRB5Zq"
+   },
+   "source": [
+    "Review the percent of unique values by column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "_IcO33VsB5Zt"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "patient_id         1.000000\n",
+      "global_num         0.587917\n",
+      "sex                0.000902\n",
+      "birth_year         0.043733\n",
+      "age                0.004959\n",
+      "country            0.001803\n",
+      "province           0.007665\n",
+      "city               0.060415\n",
+      "disease            0.000902\n",
+      "infection_case     0.007214\n",
+      "infection_order    0.003156\n",
+      "infected_by        0.093327\n",
+      "contact_number     0.032913\n",
+      "state              0.001353\n",
+      "n_age              0.043733\n",
+      "dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df.nunique()/df.shape[0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "rCZHVugqB5Z4"
+   },
+   "source": [
+    "Review the range of values per column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "Y3zLsGxMB5Z5"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>count</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>max</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>patient_id</th>\n",
+       "      <td>2218.0</td>\n",
+       "      <td>4.014678e+09</td>\n",
+       "      <td>2.192419e+09</td>\n",
+       "      <td>1.000000e+09</td>\n",
+       "      <td>1.700000e+09</td>\n",
+       "      <td>6.001000e+09</td>\n",
+       "      <td>6.004000e+09</td>\n",
+       "      <td>7.000000e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>global_num</th>\n",
+       "      <td>2218.0</td>\n",
+       "      <td>4.664817e+03</td>\n",
+       "      <td>2.211785e+03</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>4.205250e+03</td>\n",
+       "      <td>4.664817e+03</td>\n",
+       "      <td>5.900250e+03</td>\n",
+       "      <td>8.717000e+03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>birth_year</th>\n",
+       "      <td>2218.0</td>\n",
+       "      <td>1.974989e+03</td>\n",
+       "      <td>1.731123e+01</td>\n",
+       "      <td>1.916000e+03</td>\n",
+       "      <td>1.965000e+03</td>\n",
+       "      <td>1.974989e+03</td>\n",
+       "      <td>1.988000e+03</td>\n",
+       "      <td>2.020000e+03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>disease</th>\n",
+       "      <td>2218.0</td>\n",
+       "      <td>8.566276e-03</td>\n",
+       "      <td>9.217769e-02</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>infection_order</th>\n",
+       "      <td>2218.0</td>\n",
+       "      <td>2.285714e+00</td>\n",
+       "      <td>1.706622e-01</td>\n",
+       "      <td>1.000000e+00</td>\n",
+       "      <td>2.285714e+00</td>\n",
+       "      <td>2.285714e+00</td>\n",
+       "      <td>2.285714e+00</td>\n",
+       "      <td>6.000000e+00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>infected_by</th>\n",
+       "      <td>2218.0</td>\n",
+       "      <td>2.600789e+09</td>\n",
+       "      <td>7.216328e+08</td>\n",
+       "      <td>1.000000e+09</td>\n",
+       "      <td>2.600789e+09</td>\n",
+       "      <td>2.600789e+09</td>\n",
+       "      <td>2.600789e+09</td>\n",
+       "      <td>6.113000e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>contact_number</th>\n",
+       "      <td>2218.0</td>\n",
+       "      <td>2.412895e+01</td>\n",
+       "      <td>3.917141e+01</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>2.412895e+01</td>\n",
+       "      <td>2.412895e+01</td>\n",
+       "      <td>2.412895e+01</td>\n",
+       "      <td>1.160000e+03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>n_age</th>\n",
+       "      <td>2218.0</td>\n",
+       "      <td>4.801134e+01</td>\n",
+       "      <td>1.731123e+01</td>\n",
+       "      <td>3.000000e+00</td>\n",
+       "      <td>3.500000e+01</td>\n",
+       "      <td>4.801134e+01</td>\n",
+       "      <td>5.800000e+01</td>\n",
+       "      <td>1.070000e+02</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  count          mean           std           min  \\\n",
+       "patient_id       2218.0  4.014678e+09  2.192419e+09  1.000000e+09   \n",
+       "global_num       2218.0  4.664817e+03  2.211785e+03  1.000000e+00   \n",
+       "birth_year       2218.0  1.974989e+03  1.731123e+01  1.916000e+03   \n",
+       "disease          2218.0  8.566276e-03  9.217769e-02  0.000000e+00   \n",
+       "infection_order  2218.0  2.285714e+00  1.706622e-01  1.000000e+00   \n",
+       "infected_by      2218.0  2.600789e+09  7.216328e+08  1.000000e+09   \n",
+       "contact_number   2218.0  2.412895e+01  3.917141e+01  0.000000e+00   \n",
+       "n_age            2218.0  4.801134e+01  1.731123e+01  3.000000e+00   \n",
+       "\n",
+       "                          25%           50%           75%           max  \n",
+       "patient_id       1.700000e+09  6.001000e+09  6.004000e+09  7.000000e+09  \n",
+       "global_num       4.205250e+03  4.664817e+03  5.900250e+03  8.717000e+03  \n",
+       "birth_year       1.965000e+03  1.974989e+03  1.988000e+03  2.020000e+03  \n",
+       "disease          0.000000e+00  0.000000e+00  0.000000e+00  1.000000e+00  \n",
+       "infection_order  2.285714e+00  2.285714e+00  2.285714e+00  6.000000e+00  \n",
+       "infected_by      2.600789e+09  2.600789e+09  2.600789e+09  6.113000e+09  \n",
+       "contact_number   2.412895e+01  2.412895e+01  2.412895e+01  1.160000e+03  \n",
+       "n_age            3.500000e+01  4.801134e+01  5.800000e+01  1.070000e+02  "
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe().T"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "AEBFq3hmB5aN"
+   },
+   "source": [
+    "### Check for duplicated rows"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "s9KGFCpkB5aP"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>patient_id</th>\n",
+       "      <th>global_num</th>\n",
+       "      <th>sex</th>\n",
+       "      <th>birth_year</th>\n",
+       "      <th>age</th>\n",
+       "      <th>country</th>\n",
+       "      <th>province</th>\n",
+       "      <th>city</th>\n",
+       "      <th>disease</th>\n",
+       "      <th>infection_case</th>\n",
+       "      <th>infection_order</th>\n",
+       "      <th>infected_by</th>\n",
+       "      <th>contact_number</th>\n",
+       "      <th>state</th>\n",
+       "      <th>n_age</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [patient_id, global_num, sex, birth_year, age, country, province, city, disease, infection_case, infection_order, infected_by, contact_number, state, n_age]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "duplicateRowsDF = df[df.duplicated()]\n",
+    "duplicateRowsDF"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "8WOrbEk1SpOH"
+   },
+   "source": [
+    "Print the categorical columns and their associated levels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "8QTm6RuRSpOH"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>VarName</th>\n",
+       "      <th>LevelsCount</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>sex</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>age</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>country</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>province</td>\n",
+       "      <td>17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>city</td>\n",
+       "      <td>134</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>infection_case</td>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>state</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          VarName  LevelsCount\n",
+       "0             sex            2\n",
+       "1             age           11\n",
+       "2         country            4\n",
+       "3        province           17\n",
+       "4            city          134\n",
+       "5  infection_case           16\n",
+       "6           state            3"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dfo = df.select_dtypes(include=['object'], exclude=['datetime'])\n",
+    "dfo.shape\n",
+    "#get levels for all variables\n",
+    "vn = pd.DataFrame(dfo.nunique()).reset_index()\n",
+    "vn.columns = ['VarName', 'LevelsCount']\n",
+    "vn.sort_values(by='LevelsCount', ascending =False)\n",
+    "vn"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "a43l6w_uSpOJ"
+   },
+   "source": [
+    "**<font color='teal'> Plot the correlation heat map for the features.</font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "ZRJlPqV5B5e5",
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\AppData\\Local\\Temp\\ipykernel_3592\\1345791299.py:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
+      "  sns.heatmap(df.corr());\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.subplots(figsize=(12,8))\n",
+    "sns.heatmap(df.corr());"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "2KtABW0USpOK"
+   },
+   "source": [
+    "**<font color='teal'> Plot the boxplots to check for outliers. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "uYMmU_szB5fZ"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot: >"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.subplots(figsize=(12,10))\n",
+    "#df.boxplot()\n",
+    "sns.boxplot(data=df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "2Z_NuqkNSpOM"
+   },
+   "source": [
+    "**<font color='teal'> Create dummy features for object type features. </font>**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "features=['sex','age','country','province','city','infection_case','state']\n",
+    "X= df[features]\n",
+    "y=df.disease\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X=pd.get_dummies(X)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "0uTSQY_liDHj"
+   },
+   "source": [
+    "### Split the data into test and train subsamples"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "BSkPut0gguds"
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "# dont forget to define your X and y\n",
+    "\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.2, random_state=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "TcrOg3y7gRtG"
+   },
+   "source": [
+    "### Scale data to prep for model creation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "IZL-q-KtAYI6"
+   },
+   "outputs": [],
+   "source": [
+    "#scale data\n",
+    "from sklearn import preprocessing\n",
+    "import numpy as np\n",
+    "# build scaler based on training data and apply it to test data to then also scale the test data\n",
+    "scaler = preprocessing.StandardScaler().fit(X_train)\n",
+    "X_train_scaled=scaler.transform(X_train)\n",
+    "X_test_scaled=scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "ZSOICugNSpOR"
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.metrics import precision_recall_curve\n",
+    "from sklearn.metrics import f1_score\n",
+    "from sklearn.metrics import auc\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from matplotlib import pyplot\n",
+    "from sklearn.metrics import precision_recall_curve\n",
+    "from sklearn.metrics import f1_score\n",
+    "from sklearn.metrics import auc\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.metrics import classification_report,confusion_matrix,roc_curve,roc_auc_score\n",
+    "from sklearn.metrics import accuracy_score,log_loss\n",
+    "from matplotlib import pyplot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "vzrLoM58SpOT"
+   },
+   "source": [
+    "### Fit Random Forest Classifier\n",
+    "The fit model shows an overall accuracy of 80% which is great and indicates our model was effectively able to identify the status of a patients in the South Korea dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "b9jQyje3SpOU"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Random Forest: Accuracy=0.989\n",
+      "Random Forest: f1-score=0.988\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "clf = RandomForestClassifier(n_estimators=300, random_state = 1,n_jobs=-1)\n",
+    "model_res = clf.fit(X_train_scaled, y_train)\n",
+    "y_pred = model_res.predict(X_test_scaled)\n",
+    "y_pred_prob = model_res.predict_proba(X_test_scaled)\n",
+    "lr_probs = y_pred_prob[:,1]\n",
+    "ac = accuracy_score(y_test, y_pred)\n",
+    "\n",
+    "f1 = f1_score(y_test, y_pred, average='weighted')\n",
+    "cm = confusion_matrix(y_test, y_pred)\n",
+    "\n",
+    "print('Random Forest: Accuracy=%.3f' % (ac))\n",
+    "\n",
+    "print('Random Forest: f1-score=%.3f' % (f1))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "QYdW02QQSpOW"
+   },
+   "source": [
+    "### Create Confusion Matrix Plots\n",
+    "Confusion matrices are great ways to review your model performance for a multi-class classification problem. Being able to identify which class the misclassified observations end up in is a great way to determine if you need to build additional features to improve your overall model. In the example below we plot a regular counts confusion matrix as well as a weighted percent confusion matrix. The percent confusion matrix is particulary helpful when you have unbalanced class sizes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "wSWGVZU6SpOW"
+   },
+   "outputs": [],
+   "source": [
+    "class_names=['isolated','released','missing','deceased'] # name  of classes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "GjnV5ugJSpOb"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Confusion matrix, without normalization\n",
+      "[[438   2]\n",
+      " [  3   1]]\n",
+      "Normalized confusion matrix\n",
+      "[[1.   0.  ]\n",
+      " [0.75 0.25]]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import itertools\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "from sklearn import svm, datasets\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import confusion_matrix\n",
+    "\n",
+    "def plot_confusion_matrix(cm, classes,\n",
+    "                          normalize=False,\n",
+    "                          title='Confusion matrix',\n",
+    "                          cmap=plt.cm.Blues):\n",
+    "    \"\"\"\n",
+    "    This function prints and plots the confusion matrix.\n",
+    "    Normalization can be applied by setting `normalize=True`.\n",
+    "    \"\"\"\n",
+    "    if normalize:\n",
+    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
+    "        print(\"Normalized confusion matrix\")\n",
+    "    else:\n",
+    "        print('Confusion matrix, without normalization')\n",
+    "\n",
+    "    print(cm)\n",
+    "\n",
+    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
+    "    plt.title(title)\n",
+    "    plt.colorbar()\n",
+    "    tick_marks = np.arange(len(classes))\n",
+    "    plt.xticks(tick_marks, classes, rotation=45)\n",
+    "    plt.yticks(tick_marks, classes)\n",
+    "\n",
+    "    fmt = '.2f' if normalize else 'd'\n",
+    "    thresh = cm.max() / 2.\n",
+    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
+    "        plt.text(j, i, format(cm[i, j], fmt),\n",
+    "                 horizontalalignment=\"center\",\n",
+    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
+    "\n",
+    "    plt.ylabel('True label')\n",
+    "    plt.xlabel('Predicted label')\n",
+    "    plt.tight_layout()\n",
+    "\n",
+    "\n",
+    "# Compute confusion matrix\n",
+    "cnf_matrix = confusion_matrix(y_test, y_pred)\n",
+    "np.set_printoptions(precision=2)\n",
+    "\n",
+    "# Plot non-normalized confusion matrix\n",
+    "plt.figure()\n",
+    "plot_confusion_matrix(cnf_matrix, classes=class_names,\n",
+    "                      title='Confusion matrix, without normalization')\n",
+    "#plt.savefig('figures/RF_cm_multi_class.png')\n",
+    "\n",
+    "# Plot normalized confusion matrix\n",
+    "plt.figure()\n",
+    "plot_confusion_matrix(cnf_matrix, classes=class_names, normalize=True,\n",
+    "                      title='Normalized confusion matrix')\n",
+    "#plt.savefig('figures/RF_cm_proportion_multi_class.png', bbox_inches=\"tight\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Z7PtbV4LSpOc"
+   },
+   "source": [
+    "### Plot feature importances\n",
+    "The random forest algorithm can be used as a regression or classification model. In either case it tends to be a bit of a black box, where understanding what's happening under the hood can be difficult. Plotting the feature importances is one way that you can gain a perspective on which features are driving the model predictions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "T1xpGOCVSpOc"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "30\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "feature_importance = clf.feature_importances_\n",
+    "# make importances relative to max importance\n",
+    "feature_importance = 100.0 * (feature_importance / feature_importance.max())[:30]\n",
+    "sorted_idx = np.argsort(feature_importance)[:30]\n",
+    "\n",
+    "pos = np.arange(sorted_idx.shape[0]) + .5\n",
+    "print(pos.size)\n",
+    "sorted_idx.size\n",
+    "plt.figure(figsize=(10,10))\n",
+    "plt.barh(pos, feature_importance[sorted_idx], align='center')\n",
+    "plt.yticks(pos, X.columns[sorted_idx])\n",
+    "plt.xlabel('Relative Importance')\n",
+    "plt.title('Variable Importance')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Ys_mI5GsSpOe"
+   },
+   "source": [
+    "The popularity of random forest is primarily due to how well it performs in a multitude of data situations. It tends to handle highly correlated features well, where as a linear regression model would not. In this case study we demonstrate the performance ability even with only a few features and almost all of them being highly correlated with each other.\n",
+    "Random Forest is also used as an efficient way to investigate the importance of a set of features with a large data set. Consider random forest to be one of your first choices when building a decision tree, especially for multiclass classifications."
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "collapsed_sections": [
+    "FXGd_NbdB5kn"
+   ],
+   "name": "RandomForest_casestudy_covid19.ipynb",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Springboard Decision Tree Specialty Coffee Case Study - Tier 3.ipynb b/Springboard Decision Tree Specialty Coffee Case Study - Tier 3.ipynb
new file mode 100644
index 00000000..5643e8a0
--- /dev/null
+++ b/Springboard Decision Tree Specialty Coffee Case Study - Tier 3.ipynb	
@@ -0,0 +1,2265 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Jm0w3zN4DuVK"
+   },
+   "source": [
+    "# **Springboard Decision Tree Specialty Coffee Case Study - Tier 3**\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "BhqpAY7GDuVN"
+   },
+   "source": [
+    "# The Scenario\n",
+    "\n",
+    "Imagine you've just finished the Springboard Data Science Career Track course, and have been hired by a rising popular specialty coffee company - RR Diner Coffee - as a data scientist. Congratulations!\n",
+    "\n",
+    "RR Diner Coffee sells two types of thing:\n",
+    "- specialty coffee beans, in bulk (by the kilogram only) \n",
+    "- coffee equipment and merchandise (grinders, brewing equipment, mugs, books, t-shirts).\n",
+    "\n",
+    "RR Diner Coffee has three stores, two in Europe and one in the USA. The flagshap store is in the USA, and everything is quality assessed there, before being shipped out. Customers further away from the USA flagship store have higher shipping charges. \n",
+    "\n",
+    "You've been taken on at RR Diner Coffee because the company are turning towards using data science and machine learning to systematically make decisions about which coffee farmers they should strike deals with. \n",
+    "\n",
+    "RR Diner Coffee typically buys coffee from farmers, processes it on site, brings it back to the USA, roasts it, packages it, markets it, and ships it (only in bulk, and after quality assurance) to customers internationally. These customers all own coffee shops in major cities like New York, Paris, London, Hong Kong, Tokyo, and Berlin. \n",
+    "\n",
+    "Now, RR Diner Coffee has a decision about whether to strike a deal with a legendary coffee farm (known as the **Hidden Farm**) in rural China: there are rumours their coffee tastes of lychee and dark chocolate, while also being as sweet as apple juice. \n",
+    "\n",
+    "It's a risky decision, as the deal will be expensive, and the coffee might not be bought by customers. The stakes are high: times are tough, stocks are low, farmers are reverting to old deals with the larger enterprises and the publicity of selling *Hidden Farm* coffee could save the RR Diner Coffee business. \n",
+    "\n",
+    "Your first job, then, is ***to build a decision tree to predict how many units of the Hidden Farm Chinese coffee will be purchased by RR Diner Coffee's most loyal customers.*** \n",
+    "\n",
+    "To this end, you and your team have conducted a survey of 710 of the most loyal RR Diner Coffee customers, collecting data on the customers':\n",
+    "- age\n",
+    "- gender \n",
+    "- salary \n",
+    "- whether they have bought at least one RR Diner Coffee product online\n",
+    "- their distance from the flagship store in the USA (standardized to a number between 0 and 11) \n",
+    "- how much they spent on RR Diner Coffee products on the week of the survey \n",
+    "- how much they spent on RR Diner Coffee products in the month preeding the survey\n",
+    "- the number of RR Diner coffee bean shipments each customer has ordered over the preceding year. \n",
+    "\n",
+    "You also asked each customer participating in the survey whether they would buy the Hidden Farm coffee, and some (but not all) of the customers gave responses to that question. \n",
+    "\n",
+    "You sit back and think: if more than 70% of the interviewed customers are likely to buy the Hidden Farm coffee, you will strike the deal with the local Hidden Farm farmers and sell the coffee. Otherwise, you won't strike the deal and the Hidden Farm coffee will remain in legends only. There's some doubt in your mind about whether 70% is a reasonable threshold, but it'll do for the moment. \n",
+    "\n",
+    "To solve the problem, then, you will build a decision tree to implement a classification solution. \n",
+    "\n",
+    "\n",
+    "-------------------------------\n",
+    "As ever, this notebook is **tiered**, meaning you can elect that tier that is right for your confidence and skill level. There are 3 tiers, with tier 1 being the easiest and tier 3 being the hardest. This is ***tier 3***, so it will be challenging. \n",
+    "\n",
+    "**1. Sourcing and loading** \n",
+    "- Import packages\n",
+    "- Load data\n",
+    "- Explore the data\n",
+    "\n",
+    " \n",
+    "**2. Cleaning, transforming and visualizing**\n",
+    "- Cleaning the data\n",
+    "- Train/test split\n",
+    "  \n",
+    "  \n",
+    "**3. Modelling** \n",
+    "- Model 1: Entropy model - no max_depth\n",
+    "- Model 2: Gini impurity model - no max_depth\n",
+    "- Model 3: Entropy model - max depth 3\n",
+    "- Model 4: Gini impurity model - max depth 3\n",
+    "\n",
+    "\n",
+    "**4. Evaluating and concluding** \n",
+    "- How many customers will buy Hidden Farm coffee?\n",
+    "- Decision\n",
+    "\n",
+    "**5. Random Forest** \n",
+    "- Import necessary modules\n",
+    "- Model\n",
+    "- Revise conclusion\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "nciXGXtCDuVO"
+   },
+   "source": [
+    "# 0. Overview\n",
+    "\n",
+    "This notebook uses decision trees to determine whether the factors of salary, gender, age, how much money the customer spent last week and during the preceding month on RR Diner Coffee products, how many kilogram coffee bags the customer bought over the last year, whether they have bought at least one RR Diner Coffee product online, and their distance from the flagship store in the USA, could predict whether customers would purchase the Hidden Farm coffee if a deal with its farmers were struck. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "5fSgD2h9DuVP"
+   },
+   "source": [
+    "# 1. Sourcing and loading\n",
+    "## 1a. Import Packages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "CfGkTcLvDuVQ"
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from sklearn import tree, metrics\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from io import StringIO  \n",
+    "from IPython.display import Image  \n",
+    "import pydotplus\n",
+    "import graphviz"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "ZLgxyhNrDuVT"
+   },
+   "source": [
+    "## 1b. Load data "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "chW2ozlnDuVU"
+   },
+   "outputs": [],
+   "source": [
+    "# Read in the data to a variable called coffeeData\n",
+    "coffeeData= pd.read_csv(\"C:/Users/jwatki8/Downloads/Case Study Decision tree- RR Diner Coffee/data/RRDinerCoffeeData.csv\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "qnMVYf2NDuVW"
+   },
+   "source": [
+    "## 1c. Explore the data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "U5Qm4obyDuVX"
+   },
+   "source": [
+    "As we've seen, exploration entails doing things like checking out the **initial appearance** of the data with head(), the **dimensions** of our data with .shape, the **data types** of the variables with .info(), the **number of non-null values**, how much **memory** is being used to store the data, and finally the major summary statistcs capturing **central tendancy, dispersion and the null-excluding shape of the dataset's distribution**. \n",
+    "\n",
+    "How much of this can you do yourself by this point in the course? Have a real go. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "cHEKFT4SDuVY"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>num_coffeeBags_per_year</th>\n",
+       "      <th>spent_week</th>\n",
+       "      <th>spent_month</th>\n",
+       "      <th>SlrAY</th>\n",
+       "      <th>Distance</th>\n",
+       "      <th>Online</th>\n",
+       "      <th>Decision</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>36</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>0</td>\n",
+       "      <td>24</td>\n",
+       "      <td>73</td>\n",
+       "      <td>42789</td>\n",
+       "      <td>0.003168</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>24</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>44</td>\n",
+       "      <td>164</td>\n",
+       "      <td>74035</td>\n",
+       "      <td>0.520906</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>24</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>39</td>\n",
+       "      <td>119</td>\n",
+       "      <td>30563</td>\n",
+       "      <td>0.916005</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>107</td>\n",
+       "      <td>13166</td>\n",
+       "      <td>0.932098</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>24</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>36</td>\n",
+       "      <td>14244</td>\n",
+       "      <td>0.965881</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Age  Gender  num_coffeeBags_per_year  spent_week  spent_month  SlrAY  \\\n",
+       "0   36  Female                        0          24           73  42789   \n",
+       "1   24    Male                        0          44          164  74035   \n",
+       "2   24    Male                        0          39          119  30563   \n",
+       "3   20    Male                        0          30          107  13166   \n",
+       "4   24  Female                        0          20           36  14244   \n",
+       "\n",
+       "   Distance  Online  Decision  \n",
+       "0  0.003168       0       1.0  \n",
+       "1  0.520906       0       NaN  \n",
+       "2  0.916005       1       1.0  \n",
+       "3  0.932098       1       NaN  \n",
+       "4  0.965881       0       1.0  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Call head() on your data \n",
+    "coffeeData.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "rDshwA7tDuVa"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(702, 9)"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Call .shape on your data\n",
+    "coffeeData.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "iCxo0tomDuVc"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 702 entries, 0 to 701\n",
+      "Data columns (total 9 columns):\n",
+      " #   Column                   Non-Null Count  Dtype  \n",
+      "---  ------                   --------------  -----  \n",
+      " 0   Age                      702 non-null    int64  \n",
+      " 1   Gender                   702 non-null    object \n",
+      " 2   num_coffeeBags_per_year  702 non-null    int64  \n",
+      " 3   spent_week               702 non-null    int64  \n",
+      " 4   spent_month              702 non-null    int64  \n",
+      " 5   SlrAY                    702 non-null    int64  \n",
+      " 6   Distance                 702 non-null    float64\n",
+      " 7   Online                   702 non-null    int64  \n",
+      " 8   Decision                 474 non-null    float64\n",
+      "dtypes: float64(2), int64(6), object(1)\n",
+      "memory usage: 49.5+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Call info() on your data\n",
+    "coffeeData.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "t0ZdmaUeDuVe"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Age</th>\n",
+       "      <th>num_coffeeBags_per_year</th>\n",
+       "      <th>spent_week</th>\n",
+       "      <th>spent_month</th>\n",
+       "      <th>SlrAY</th>\n",
+       "      <th>Distance</th>\n",
+       "      <th>Online</th>\n",
+       "      <th>Decision</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>702.000000</td>\n",
+       "      <td>702.000000</td>\n",
+       "      <td>702.000000</td>\n",
+       "      <td>702.000000</td>\n",
+       "      <td>702.000000</td>\n",
+       "      <td>702.000000</td>\n",
+       "      <td>702.000000</td>\n",
+       "      <td>474.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>34.243590</td>\n",
+       "      <td>2.710826</td>\n",
+       "      <td>32.853276</td>\n",
+       "      <td>107.923077</td>\n",
+       "      <td>43819.843305</td>\n",
+       "      <td>4.559186</td>\n",
+       "      <td>0.531339</td>\n",
+       "      <td>0.639241</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>13.927945</td>\n",
+       "      <td>1.593629</td>\n",
+       "      <td>15.731878</td>\n",
+       "      <td>55.348485</td>\n",
+       "      <td>26192.626943</td>\n",
+       "      <td>3.116275</td>\n",
+       "      <td>0.499373</td>\n",
+       "      <td>0.480728</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>16.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1617.000000</td>\n",
+       "      <td>0.003168</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>23.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>24.250000</td>\n",
+       "      <td>62.000000</td>\n",
+       "      <td>22812.250000</td>\n",
+       "      <td>1.877812</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>28.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>36.000000</td>\n",
+       "      <td>113.500000</td>\n",
+       "      <td>41975.000000</td>\n",
+       "      <td>4.196167</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>46.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>43.000000</td>\n",
+       "      <td>150.750000</td>\n",
+       "      <td>60223.000000</td>\n",
+       "      <td>6.712022</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>90.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>62.000000</td>\n",
+       "      <td>210.000000</td>\n",
+       "      <td>182058.000000</td>\n",
+       "      <td>10.986203</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              Age  num_coffeeBags_per_year  spent_week  spent_month  \\\n",
+       "count  702.000000               702.000000  702.000000   702.000000   \n",
+       "mean    34.243590                 2.710826   32.853276   107.923077   \n",
+       "std     13.927945                 1.593629   15.731878    55.348485   \n",
+       "min     16.000000                 0.000000    0.000000     0.000000   \n",
+       "25%     23.000000                 1.000000   24.250000    62.000000   \n",
+       "50%     28.000000                 3.000000   36.000000   113.500000   \n",
+       "75%     46.000000                 4.000000   43.000000   150.750000   \n",
+       "max     90.000000                 5.000000   62.000000   210.000000   \n",
+       "\n",
+       "               SlrAY    Distance      Online    Decision  \n",
+       "count     702.000000  702.000000  702.000000  474.000000  \n",
+       "mean    43819.843305    4.559186    0.531339    0.639241  \n",
+       "std     26192.626943    3.116275    0.499373    0.480728  \n",
+       "min      1617.000000    0.003168    0.000000    0.000000  \n",
+       "25%     22812.250000    1.877812    0.000000    0.000000  \n",
+       "50%     41975.000000    4.196167    1.000000    1.000000  \n",
+       "75%     60223.000000    6.712022    1.000000    1.000000  \n",
+       "max    182058.000000   10.986203    1.000000    1.000000  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Call describe() on your data to get the relevant summary statistics for your data \n",
+    "coffeeData.describe() "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "INkujJ6QDuVg"
+   },
+   "source": [
+    "# 2. Cleaning, transforming and visualizing\n",
+    "## 2a. Cleaning the data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "wIMW_rbdDuVh"
+   },
+   "source": [
+    "Some datasets don't require any cleaning, but almost all do. This one does. We need to replace '1.0' and '0.0' in the 'Decision' column by 'YES' and 'NO' respectively, clean up the values of the 'gender' column, and change the column names to words which maximize meaning and clarity. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "EEXdBALeDuVi"
+   },
+   "source": [
+    "First, let's change the name of `spent_week`, `spent_month`, and `SlrAY` to `spent_last_week` and `spent_last_month` and `salary` respectively."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "rhxy23pbDuVi"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Age\n",
+      "Gender\n",
+      "num_coffeeBags_per_year\n",
+      "spent_week\n",
+      "spent_month\n",
+      "SlrAY\n",
+      "Distance\n",
+      "Online\n",
+      "Decision\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Check out the names of our data's columns \n",
+    "\n",
+    "for col in coffeeData.columns:\n",
+    "    print(col)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "C_D1m6ryDuVk"
+   },
+   "outputs": [],
+   "source": [
+    "# Make the relevant name changes to spent_week and spent_per_week.\n",
+    "coffeeData=coffeeData.rename(columns={'spent_week': 'spent_last_week','spent_month': 'spent_last_month','SlrAY': 'salary' })"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "3cmdaeg8DuVm"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Age\n",
+      "Gender\n",
+      "num_coffeeBags_per_year\n",
+      "spent_last_week\n",
+      "spent_last_month\n",
+      "salary\n",
+      "Distance\n",
+      "Online\n",
+      "Decision\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Check out the column names\n",
+    "for col in coffeeData.columns:\n",
+    "    print(col)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "XJK-wbfODuVp"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count      702\n",
+       "unique       9\n",
+       "top       Male\n",
+       "freq       355\n",
+       "Name: Gender, dtype: object"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's have a closer look at the gender column. Its values need cleaning.\n",
+    "coffeeData['Gender'].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "88bITtgzDuVr"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Female', 'Male', 'female', 'F', 'f ', 'FEMALE', 'MALE', 'male',\n",
+       "       'M'], dtype=object)"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# See the gender column's unique values \n",
+    "coffeeData['Gender'].unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "-eGzgGR1DuVt"
+   },
+   "source": [
+    "We can see a bunch of inconsistency here.\n",
+    "\n",
+    "Use replace() to make the values of the `gender` column just `Female` and `Male`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "h0FOX3I3DuVu"
+   },
+   "outputs": [],
+   "source": [
+    "# Replace all alternate values for the Female entry with 'Female'\n",
+    "coffeeData['Gender']=coffeeData['Gender'].replace(['female','F','f ','FEMALE'],['Female','Female','Female','Female'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "5TThfHgCDuVw"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Female', 'Male', 'MALE', 'male', 'M'], dtype=object)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Check out the unique values for the 'gender' column\n",
+    "coffeeData['Gender'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "4wRKBvSHDuVy"
+   },
+   "outputs": [],
+   "source": [
+    "# Replace all alternate values with \"Male\"\n",
+    "coffeeData['Gender']=coffeeData['Gender'].replace(['male','M','MALE'],['Male','Male','Male'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "nhBUkXIADuV0"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Female', 'Male'], dtype=object)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's check the unique values of the column \"gender\"\n",
+    "coffeeData['Gender'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "AdhhO4WHDuV2"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 1., nan,  0.])"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Check out the unique values of the column 'Decision'\n",
+    "coffeeData['Decision'].unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "m1JuiY-iDuV5"
+   },
+   "source": [
+    "We now want to replace `1.0` and `0.0` in the `Decision` column by `YES` and `NO` respectively."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "QsK6gYPgDuV5"
+   },
+   "outputs": [],
+   "source": [
+    "# Replace 1.0 and 0.0 by 'Yes' and 'No'\n",
+    "coffeeData['Decision']=coffeeData['Decision'].replace([1.0,0.0],['Yes','No'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "YtHnTZuWDuV9"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Yes', nan, 'No'], dtype=object)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Check that our replacing those values with 'YES' and 'NO' worked, with unique()\n",
+    "coffeeData['Decision'].unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "CKCt-fBlDuWB"
+   },
+   "source": [
+    "## 2b. Train/test split\n",
+    "To execute the train/test split properly, we need to do five things: \n",
+    "1. Drop all rows with a null value in the `Decision` column, and save the result as NOPrediction: a dataset that will contain all known values for the decision \n",
+    "2. Visualize the data using scatter and boxplots of several variables in the y-axis and the decision on the x-axis\n",
+    "3. Get the subset of coffeeData with null values in the `Decision` column, and save that subset as Prediction\n",
+    "4. Divide the NOPrediction subset into X and y, and then further divide those subsets into train and test subsets for X and y respectively\n",
+    "5. Create dummy variables to deal with categorical inputs"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "ysHdkIaQDuWB"
+   },
+   "source": [
+    "### 1. Drop all null values within the `Decision` column, and save the result as NoPrediction"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "pvgH6SM4DuWC"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count     474\n",
+       "unique      2\n",
+       "top       Yes\n",
+       "freq      303\n",
+       "Name: Decision, dtype: object"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# NoPrediction will contain all known values for the decision\n",
+    "# Call dropna() on coffeeData, and store the result in a variable NOPrediction \n",
+    "# Call describe() on the Decision column of NoPrediction after calling dropna() on coffeeData\n",
+    "NOPrediction = coffeeData.dropna(subset=['Decision'])\n",
+    "NOPrediction['Decision'].describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "XfTK5Ec6DuWE"
+   },
+   "source": [
+    "### 2. Visualize the data using scatter and boxplots of several variables in the y-axis and the decision on the x-axis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "5O-M-t3tDuWE"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Exploring our new NOPrediction dataset\n",
+    "# Make a boxplot on NOPrediction where the x axis is Decision, and the y axis is spent_last_week\n",
+    "sns.catplot(x='Decision', y='spent_last_week', \n",
+    "            data=NOPrediction, kind='box')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "mVqg_HI7DuWG"
+   },
+   "source": [
+    "Can you admissibly conclude anything from this boxplot? Write your answer here: Overall, it appears that the people who spent higher amounts of money at the coffee shop last week gave a decision answer of yes while the people who spent less money on coffee last week gave a decision answer of no.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "q-AyXWSxDuWH"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 572.125x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Make a scatterplot on NOPrediction, where x is distance, y is spent_last_month and hue is Decision \n",
+    "sns.relplot(x='Distance', y='spent_last_month', \n",
+    "            data=NOPrediction, hue='Decision',kind='scatter')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "I_nr36yZDuWJ"
+   },
+   "source": [
+    "Can you admissibly conclude anything from this scatterplot? Remember: we are trying to build a tree to classify unseen examples. Write your answer here: People who both live close to the coffee shop and spend larger amounts of money there every moth are the most likely group to have a decision of yes. As distance from the shop increases, the more that money spent per month seems to become a deciding factor on whether or not a customer gives a decision of yes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "oQBPyvehDuWK"
+   },
+   "source": [
+    "### 3. Get the subset of coffeeData with null values in the Decision column, and save that subset as Prediction"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "vcCednqUDuWL"
+   },
+   "outputs": [],
+   "source": [
+    "# Get just those rows whose value for the Decision column is null  \n",
+    "Prediction= coffeeData[coffeeData['Decision'].isna()]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "aenlmp9NDuWM"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Age</th>\n",
+       "      <th>num_coffeeBags_per_year</th>\n",
+       "      <th>spent_last_week</th>\n",
+       "      <th>spent_last_month</th>\n",
+       "      <th>salary</th>\n",
+       "      <th>Distance</th>\n",
+       "      <th>Online</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>228.000000</td>\n",
+       "      <td>228.000000</td>\n",
+       "      <td>228.000000</td>\n",
+       "      <td>228.000000</td>\n",
+       "      <td>228.000000</td>\n",
+       "      <td>228.000000</td>\n",
+       "      <td>228.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>31.802632</td>\n",
+       "      <td>2.960526</td>\n",
+       "      <td>33.394737</td>\n",
+       "      <td>110.407895</td>\n",
+       "      <td>41923.741228</td>\n",
+       "      <td>3.428836</td>\n",
+       "      <td>0.570175</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>14.302293</td>\n",
+       "      <td>1.585514</td>\n",
+       "      <td>15.697930</td>\n",
+       "      <td>53.786536</td>\n",
+       "      <td>27406.768360</td>\n",
+       "      <td>2.153102</td>\n",
+       "      <td>0.496140</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>16.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1617.000000</td>\n",
+       "      <td>0.010048</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>22.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>25.750000</td>\n",
+       "      <td>65.000000</td>\n",
+       "      <td>15911.500000</td>\n",
+       "      <td>1.699408</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>37.000000</td>\n",
+       "      <td>113.500000</td>\n",
+       "      <td>40987.500000</td>\n",
+       "      <td>3.208673</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>39.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>44.000000</td>\n",
+       "      <td>151.250000</td>\n",
+       "      <td>58537.000000</td>\n",
+       "      <td>5.261184</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>67.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>62.000000</td>\n",
+       "      <td>210.000000</td>\n",
+       "      <td>182058.000000</td>\n",
+       "      <td>10.871566</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              Age  num_coffeeBags_per_year  spent_last_week  spent_last_month  \\\n",
+       "count  228.000000               228.000000       228.000000        228.000000   \n",
+       "mean    31.802632                 2.960526        33.394737        110.407895   \n",
+       "std     14.302293                 1.585514        15.697930         53.786536   \n",
+       "min     16.000000                 0.000000         0.000000          0.000000   \n",
+       "25%     22.000000                 2.000000        25.750000         65.000000   \n",
+       "50%     25.000000                 3.000000        37.000000        113.500000   \n",
+       "75%     39.000000                 4.000000        44.000000        151.250000   \n",
+       "max     67.000000                 5.000000        62.000000        210.000000   \n",
+       "\n",
+       "              salary    Distance      Online  \n",
+       "count     228.000000  228.000000  228.000000  \n",
+       "mean    41923.741228    3.428836    0.570175  \n",
+       "std     27406.768360    2.153102    0.496140  \n",
+       "min      1617.000000    0.010048    0.000000  \n",
+       "25%     15911.500000    1.699408    0.000000  \n",
+       "50%     40987.500000    3.208673    1.000000  \n",
+       "75%     58537.000000    5.261184    1.000000  \n",
+       "max    182058.000000   10.871566    1.000000  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Call describe() on Prediction\n",
+    "Prediction.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "zmN_BPwFDuWO"
+   },
+   "source": [
+    "### 4. Divide the NOPrediction subset into X and y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "00WtPVYSDuWP"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Age\n",
+      "Gender\n",
+      "num_coffeeBags_per_year\n",
+      "spent_last_week\n",
+      "spent_last_month\n",
+      "salary\n",
+      "Distance\n",
+      "Online\n",
+      "Decision\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Check the names of the columns of NOPrediction\n",
+    "for col in NOPrediction.columns:\n",
+    "    print(col)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "oPi2gMLfDuWQ"
+   },
+   "outputs": [],
+   "source": [
+    "# Let's do our feature selection.\n",
+    "# Make a variable called 'features', and a list containing the strings of every column except \"Decision\"\n",
+    "features=['Age','Gender','num_coffeeBags_per_year','spent_last_week','spent_last_month','salary','Distance','Online'] \n",
+    "\n",
+    "# Make an explanatory variable called X, and assign it: NoPrediction[features]\n",
+    "X= NOPrediction[features]\n",
+    "\n",
+    "# Make a dependent variable called y, and assign it: NoPrediction.Decision\n",
+    "y= NOPrediction.Decision"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "R-d3XOv8DuWW"
+   },
+   "source": [
+    "### 5. Create dummy variables to deal with categorical inputs\n",
+    "One-hot encoding replaces each unique value of a given column with a new column, and puts a 1 in the new column for a given row just if its initial value for the original column matches the new column. Check out [this resource](https://hackernoon.com/what-is-one-hot-encoding-why-and-when-do-you-have-to-use-it-e3c6186d008f) if you haven't seen one-hot-encoding before. \n",
+    "\n",
+    "**Note**: We will do this before we do our train/test split as to do it after could mean that some categories only end up in the train or test split of our data by chance and this would then lead to different shapes of data for our `X_train` and `X_test` which could/would cause downstream issues when fitting or predicting using a trained model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "xXHGDZkZDuWW"
+   },
+   "outputs": [],
+   "source": [
+    "# One-hot encode all features in X.\n",
+    "X = pd.get_dummies(X)\n",
+    "#X = NOPrediction[features].join(NOPrediction[features]).drop('column', axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "Jdn_dHlkDuWS"
+   },
+   "source": [
+    "### 6. Further divide those subsets into train and test subsets for X and y respectively: X_train, X_test, y_train, y_test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "RqbHQza-DuWT"
+   },
+   "outputs": [],
+   "source": [
+    "# Call train_test_split on X, y. Make the test_size = 0.25, and random_state = 246\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state=246)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "nqvyCX-6DuWb"
+   },
+   "source": [
+    "# 3. Modelling\n",
+    "It's useful to look at the scikit-learn documentation on decision trees https://scikit-learn.org/stable/modules/tree.html before launching into applying them. If you haven't seen them before, take a look at that link, in particular the section `1.10.5.` "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "other helpful links:\n",
+    "https://scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html\n",
+    "https://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "RIm9IN5HDuWc"
+   },
+   "source": [
+    "## Model 1: Entropy model - no max_depth\n",
+    "\n",
+    "We'll give you a little more guidance here, as the Python is hard to deduce, and scikitlearn takes some getting used to.\n",
+    "\n",
+    "Theoretically, let's remind ourselves of what's going on with a decision tree implementing an entropy model.\n",
+    "\n",
+    "Ross Quinlan's **ID3 Algorithm** was one of the first, and one of the most basic, to use entropy as a metric.\n",
+    "\n",
+    "**Entropy** is a measure of how uncertain we are about which category the data-points fall into at a given point in the tree. The **Information gain** of a specific feature with a threshold (such as 'spent_last_month <= 138.0') is the difference in entropy that exists before and after splitting on that feature; i.e., the information we gain about the categories of the data-points by splitting on that feature and that threshold. \n",
+    "\n",
+    "Naturally, we want to minimize entropy and maximize information gain. Quinlan's ID3 algorithm is designed to output a tree such that the features at each node, starting from the root, and going all the way down to the leaves, have maximial information gain. We want a tree whose leaves have elements that are *homogeneous*, that is, all of the same category. \n",
+    "\n",
+    "The first model will be the hardest. Persevere and you'll reap the rewards: you can use almost exactly the same code for the other models. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "8-gelLDgDuWc"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;, random_state=22)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;, random_state=22)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "DecisionTreeClassifier(criterion='entropy', random_state=22)"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Declare a variable called entr_model and use tree.DecisionTreeClassifier. \n",
+    "entr_model=tree.DecisionTreeClassifier(criterion=\"entropy\",random_state=22)\n",
+    "\n",
+    "# Call fit() on entr_model\n",
+    "entr_model.fit(X_train, y_train) \n",
+    "\n",
+    "# Call predict() on entr_model with X_test passed to it, and assign the result to a variable y_pred \n",
+    "y_pred=entr_model.predict(X_test)\n",
+    "\n",
+    "# Call Series on our y_pred variable with the following: pd.Series(y_pred)\n",
+    "pd.Series(y_pred)\n",
+    "\n",
+    "# Check out entr_model\n",
+    "entr_model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "S4FbHfWnDuWe"
+   },
+   "outputs": [],
+   "source": [
+    "#My version(lacking some formatting but accurate data)\n",
+    "\n",
+    "# Now we want to visualize the tree\n",
+    "#tree.plot_tree(entr_model)\n",
+    "\n",
+    "# We can do so with export_graphviz\n",
+    "#entr_model_tree = tree.export_graphviz(entr_model, out_file=None)\n",
+    "\n",
+    "# Alternatively for class_names use entr_model.classes_\n",
+    "#entr_model.classes_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Tier 1 version with better formatting\n",
+    "\n",
+    "# Now we want to visualize the tree\n",
+    "dot_data = StringIO()\n",
+    "\n",
+    "# We can do so with export_graphviz\n",
+    "tree.export_graphviz(entr_model, out_file=dot_data,  \n",
+    "                filled=True, rounded=True,\n",
+    "                special_characters=True, feature_names=X_train.columns,class_names = [\"NO\", \"YES\"]) \n",
+    "\n",
+    "# Alternatively for class_names use entr_model.classes_\n",
+    "graph = pydotplus.graph_from_dot_data(dot_data.getvalue())  \n",
+    "Image(graph.create_png())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "dFbii4IADuWg"
+   },
+   "source": [
+    "## Model 1: Entropy model - no max_depth: Interpretation and evaluation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "XRL0klK4DuWh"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model Entropy - no max depth\n",
+      "Accuracy: 0.9915966386554622\n",
+      "Balanced accuracy: 0.9878048780487805\n",
+      "Precision score for \"Yes\" 0.9873417721518988\n",
+      "Precision score for \"No\" 1.0\n",
+      "Recall score for \"Yes\" 1.0\n",
+      "Recall score for \"No\" 0.975609756097561\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run this block for model evaluation metrics \n",
+    "print(\"Model Entropy - no max depth\")\n",
+    "print(\"Accuracy:\", metrics.accuracy_score(y_test,y_pred))\n",
+    "print(\"Balanced accuracy:\", metrics.balanced_accuracy_score(y_test,y_pred))\n",
+    "print('Precision score for \"Yes\"' , metrics.precision_score(y_test,y_pred, pos_label = \"Yes\"))\n",
+    "print('Precision score for \"No\"' , metrics.precision_score(y_test,y_pred, pos_label = \"No\"))\n",
+    "print('Recall score for \"Yes\"' , metrics.recall_score(y_test,y_pred, pos_label = \"Yes\"))\n",
+    "print('Recall score for \"No\"' , metrics.recall_score(y_test,y_pred, pos_label = \"No\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "icGOPFQ_DuWj"
+   },
+   "source": [
+    "What can you infer from these results? Write your conclusions here: The Precision score for “No” is very high. This means that the false positive rate for “No” is extremely low. So there are very few “Yes” responses classified as “No” responses. The recall score for the “Yes” response is also very high. This means that the model has done a good job at correctly predicting true “Yes” values there are very few “Yes” values falsely classified and “No” values. The overall accuracy is also very high."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "MHipdpfxDuWk"
+   },
+   "source": [
+    "## Model 2: Gini impurity model - no max_depth\n",
+    "\n",
+    "Gini impurity, like entropy, is a measure of how well a given feature (and threshold) splits the data into categories.\n",
+    "\n",
+    "Their equations are similar, but Gini impurity doesn't require logorathmic functions, which can be computationally expensive. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "FyBljeIpDuWl"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(random_state=22)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(random_state=22)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "DecisionTreeClassifier(random_state=22)"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Make a variable called gini_model, and assign it exactly what you assigned entr_model with above, but with the\n",
+    "# criterion changed to 'gini'\n",
+    "gini_model= tree.DecisionTreeClassifier(criterion='gini', random_state=22)\n",
+    "\n",
+    "# Call fit() on the gini_model as you did with the entr_model\n",
+    "gini_model.fit(X_train,y_train)\n",
+    "\n",
+    "# Call predict() on the gini_model as you did with the entr_model \n",
+    "y_pred=gini_model.predict(X_test)\n",
+    "\n",
+    "# Turn y_pred into a series, as before\n",
+    "pd.Series(y_pred)\n",
+    "\n",
+    "# Check out gini_model\n",
+    "gini_model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "d20SMUmgDuWo"
+   },
+   "outputs": [],
+   "source": [
+    "#My version(lacking some formatting but accurate data)\n",
+    "# As before, but make the model name gini_model\n",
+    "#tree.plot_tree(gini_model)\n",
+    "\n",
+    "#gini_model_tree = tree.export_graphviz(gini_model, out_file=None)\n",
+    "\n",
+    "# Alternatively for class_names use gini_model.classes_\n",
+    "#gini_model.classes_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Tier 1 version with better formatting\n",
+    "\n",
+    "# Now we want to visualize the tree\n",
+    "dot_data = StringIO()\n",
+    "\n",
+    "# We can do so with export_graphviz\n",
+    "tree.export_graphviz(gini_model, out_file=dot_data,  \n",
+    "                filled=True, rounded=True,\n",
+    "                special_characters=True, feature_names=X_train.columns,class_names = [\"NO\", \"YES\"]) \n",
+    "\n",
+    "# Alternatively for class_names use entr_model.classes_\n",
+    "graph = pydotplus.graph_from_dot_data(dot_data.getvalue())  \n",
+    "Image(graph.create_png())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "T0RadBy0DuWp"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model Gini impurity model\n",
+      "Accuracy: 0.9831932773109243\n",
+      "Balanced accuracy: 0.9813946216385241\n",
+      "Precision score 0.9871794871794872\n",
+      "Recall score 0.975609756097561\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run this block for model evaluation\n",
+    "print(\"Model Gini impurity model\")\n",
+    "print(\"Accuracy:\", metrics.accuracy_score(y_test,y_pred))\n",
+    "print(\"Balanced accuracy:\", metrics.balanced_accuracy_score(y_test,y_pred))\n",
+    "print('Precision score' , metrics.precision_score(y_test,y_pred, pos_label = \"Yes\"))\n",
+    "print('Recall score' , metrics.recall_score(y_test,y_pred, pos_label = \"No\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "LR5LkC_yDuWs"
+   },
+   "source": [
+    "How do the results here compare to the previous model? Write your judgements here: The accuracy and balanced accuracy values for this model are lower than the values in the first model. There are also no accuracy or recall scores of one but this is because both response options are aggregated in this statistic as opposed to being separated in the previous model."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "3PctBjTADuWs"
+   },
+   "source": [
+    "## Model 3: Entropy model - max depth 3\n",
+    "We're going to try to limit the depth of our decision tree, using entropy first.  \n",
+    "\n",
+    "As you know, we need to strike a balance with tree depth. \n",
+    "\n",
+    "Insufficiently deep, and we're not giving the tree the opportunity to spot the right patterns in the training data.\n",
+    "\n",
+    "Excessively deep, and we're probably going to make a tree that overfits to the training data, at the cost of very high error on the (hitherto unseen) test data. \n",
+    "\n",
+    "Sophisticated data scientists use methods like random search with cross-validation to systematically find a good depth for their tree. We'll start with picking 3, and see how that goes. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "cMiPjWClDuWt"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;, max_depth=3, random_state=22)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;, max_depth=3, random_state=22)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "DecisionTreeClassifier(criterion='entropy', max_depth=3, random_state=22)"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Made a model as before, but call it entr_model2, and make the max_depth parameter equal to 3. \n",
+    "# Execute the fitting, predicting, and Series operations as before\n",
+    "entr_model2= tree.DecisionTreeClassifier(criterion='entropy',max_depth=3, random_state=22)\n",
+    "\n",
+    "# Call fit() on the gini_model as you did with the entr_model\n",
+    "entr_model2.fit(X_train,y_train)\n",
+    "\n",
+    "# Call predict() on the gini_model as you did with the entr_model \n",
+    "y_pred=entr_model2.predict(X_test)\n",
+    "\n",
+    "# Turn y_pred into a series, as before\n",
+    "pd.Series(y_pred)\n",
+    "\n",
+    "# Check out gini_model\n",
+    "entr_model2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "IRuw72VMDuWv"
+   },
+   "outputs": [],
+   "source": [
+    "#My version(lacking some formatting but accurate data)\n",
+    "# As before, we need to visualize the tree to grasp its nature\n",
+    "#tree.plot_tree(entr_model2)\n",
+    "\n",
+    "#entr_model2_tree = tree.export_graphviz(entr_model2, out_file=None)\n",
+    "\n",
+    "# Alternatively for class_names use entr_model2.classes_\n",
+    "#entr_model2.classes_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Tier 1 version with better formatting\n",
+    "\n",
+    "# Now we want to visualize the tree\n",
+    "dot_data = StringIO()\n",
+    "\n",
+    "# We can do so with export_graphviz\n",
+    "tree.export_graphviz(entr_model2, out_file=dot_data,  \n",
+    "                filled=True, rounded=True,\n",
+    "                special_characters=True, feature_names=X_train.columns,class_names = [\"NO\", \"YES\"]) \n",
+    "\n",
+    "# Alternatively for class_names use entr_model.classes_\n",
+    "graph = pydotplus.graph_from_dot_data(dot_data.getvalue())  \n",
+    "Image(graph.create_png())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "29f4vmmMDuWy"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model Entropy model max depth 3\n",
+      "Accuracy: 0.907563025210084\n",
+      "Balanced accuracy: 0.8658536585365854\n",
+      "Precision score for \"Yes\" 0.8764044943820225\n",
+      "Recall score for \"No\" 0.7317073170731707\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Run this block for model evaluation \n",
+    "print(\"Model Entropy model max depth 3\")\n",
+    "print(\"Accuracy:\", metrics.accuracy_score(y_test,y_pred))\n",
+    "print(\"Balanced accuracy:\", metrics.balanced_accuracy_score(y_test,y_pred))\n",
+    "print('Precision score for \"Yes\"' , metrics.precision_score(y_test,y_pred, pos_label = \"Yes\"))\n",
+    "print('Recall score for \"No\"' , metrics.recall_score(y_test,y_pred, pos_label = \"No\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "AG7S2YgUDuW4"
+   },
+   "source": [
+    "So our accuracy decreased, but is this certainly an inferior tree to the max depth original tree we did with Model 1? Write your conclusions here: It does appear that this model is inferior to the original model as a result of the max depth chosen. All of the statistics are lower than the values for the previous model. But we are also missing some statistical information in this model. We did not output the precision score for “No” responses or the recall score for “Yes” responses. This could give us important information about model performance."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "FZTl4W3wDuW4"
+   },
+   "source": [
+    "## Model 4: Gini impurity  model - max depth 3\n",
+    "We're now going to try the same with the Gini impurity model. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "FJK1bkG3DuW5"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(max_depth=3, random_state=22)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(max_depth=3, random_state=22)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "DecisionTreeClassifier(max_depth=3, random_state=22)"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# As before, make a variable, but call it gini_model2, and ensure the max_depth parameter is set to 3\n",
+    "gini_model2 = tree.DecisionTreeClassifier(criterion ='gini', random_state = 22, max_depth  = 3 )\n",
+    "\n",
+    "# Do the fit, predict, and series transformations as before. \n",
+    "gini_model2.fit(X_train,y_train)\n",
+    "\n",
+    "# Call predict() on the gini_model as you did with the entr_model \n",
+    "y_pred=gini_model2.predict(X_test)\n",
+    "\n",
+    "# Turn y_pred into a series, as before\n",
+    "pd.Series(y_pred)\n",
+    "\n",
+    "# Check out gini_model\n",
+    "gini_model2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "_UIWhKZBDuW7"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dot_data = StringIO()\n",
+    "tree.export_graphviz(gini_model2, out_file=dot_data,  \n",
+    "                filled=True, rounded=True,\n",
+    "                special_characters=True, feature_names=X_train.columns,class_names = [\"NO\", \"YES\"]) \n",
+    "\n",
+    "\n",
+    "# Alternatively for class_names use gini_model2.classes_\n",
+    "graph = pydotplus.graph_from_dot_data(dot_data.getvalue())  \n",
+    "Image(graph.create_png())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "R4t7e9-GDuW9"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Gini impurity  model - max depth 3\n",
+      "Accuracy: 0.9747899159663865\n",
+      "Balanced accuracy: 0.9691994996873046\n",
+      "Precision score 0.9746835443037974\n",
+      "Recall score 0.9512195121951219\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Gini impurity  model - max depth 3\")\n",
+    "print(\"Accuracy:\", metrics.accuracy_score(y_test,y_pred))\n",
+    "print(\"Balanced accuracy:\", metrics.balanced_accuracy_score(y_test,y_pred))\n",
+    "print('Precision score' , metrics.precision_score(y_test,y_pred, pos_label = \"Yes\"))\n",
+    "print('Recall score' , metrics.recall_score(y_test,y_pred, pos_label = \"No\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "UzGThBXSDuW-"
+   },
+   "source": [
+    "Now this is an elegant tree. Its accuracy might not be the highest, but it's still the best model we've produced so far. Why is that? Write your answer here: It looks as if this model could be the best because the final node purity appears to be the best without overfitting or creating very small nodes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "jS1niFlCDuW_"
+   },
+   "source": [
+    "# 4. Evaluating and concluding\n",
+    "## 4a. How many customers will buy Hidden Farm coffee? \n",
+    "Let's first ascertain how many loyal customers claimed, in the survey, that they will purchase the Hidden Farm coffee. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "QPHXnHZvDuXC"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Yes    303\n",
+       "No     171\n",
+       "Name: Decision, dtype: int64"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Call value_counts() on the 'Decision' column of the original coffeeData\n",
+    "coffeeData['Decision'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "kw_5g_ZEDuXD"
+   },
+   "source": [
+    "Let's now determine the number of people that, according to the model, will be willing to buy the Hidden Farm coffee. \n",
+    "1. First we subset the Prediction dataset into `new_X` considering all the variables except `Decision` \n",
+    "2. Use that dataset to predict a new variable called `potential_buyers`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "mwypR8ymDuXE"
+   },
+   "outputs": [],
+   "source": [
+    "# Feature selection\n",
+    "# Make a variable called feature_cols, and assign it a list containing all the column names except 'Decision'\n",
+    "feature_cols=['Age','Gender','num_coffeeBags_per_year','spent_last_week','spent_last_month','salary','Distance','Online'] \n",
+    "\n",
+    "# Make a variable called new_X, and assign it the subset of Prediction, containing just the feature_cols \n",
+    "new_X=Prediction[feature_cols]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "0ajvbeRSDuXG"
+   },
+   "outputs": [],
+   "source": [
+    "# Call get_dummies() on the Pandas object pd, with new_X plugged in, to one-hot encode all features in the training set\n",
+    "new_X=pd.get_dummies(new_X)\n",
+    "\n",
+    "# Make a variable called potential_buyers, and assign it the result of calling predict() on a model of your choice; \n",
+    "# don't forget to pass new_X to predict()\n",
+    "potential_buyers=gini_model2.predict(new_X)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "-MO_KWT9DuXI"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array(['No', 'Yes'], dtype=object), array([ 45, 183], dtype=int64))"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's get the numbers of YES's and NO's in the potential buyers \n",
+    "# Call unique() on np, and pass potential_buyers and return_counts=True \n",
+    "np.unique(potential_buyers, return_counts=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "3CB7HbiTDuXJ"
+   },
+   "source": [
+    "The total number of potential buyers is 303 + 183 = 486"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "9EGFQcTuDuXK"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "702\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the total number of surveyed people \n",
+    "print(coffeeData['salary'].count())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "22_KRMX4DuXM"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.6923076923076923"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Let's calculate the proportion of buyers\n",
+    "486/702"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "xLMCDMpmDuXO"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "69.23\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Print the percentage of people who want to buy the Hidden Farm coffee, by our model \n",
+    "print(round((486/702)*100, 2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "9bRDyi6rDuXQ"
+   },
+   "source": [
+    "## 4b. Decision\n",
+    "Remember how you thought at the start: if more than 70% of the interviewed customers are likely to buy the Hidden Farm coffee, you will strike the deal with the local Hidden Farm farmers and sell the coffee. Otherwise, you won't strike the deal and the Hidden Farm coffee will remain in legends only. Well now's crunch time. Are you going to go ahead with that idea? If so, you won't be striking the deal with the Chinese farmers. \n",
+    "\n",
+    "They're called `decision trees`, aren't they? So where's the decision? What should you do? (Cue existential cat emoji). \n",
+    "\n",
+    "Ultimately, though, we can't write an algorithm to actually *make the business decision* for us. This is because such decisions depend on our values, what risks we are willing to take, the stakes of our decisions, and how important it us for us to *know* that we will succeed. What are you going to do with the models you've made? Are you going to risk everything, strike the deal with the *Hidden Farm* farmers, and sell the coffee? \n",
+    "\n",
+    "The philosopher of language Jason Stanley once wrote that the number of doubts our evidence has to rule out in order for us to know a given proposition depends on our stakes: the higher our stakes, the more doubts our evidence has to rule out, and therefore the harder it is for us to know things. We can end up paralyzed in predicaments; sometimes, we can act to better our situation only if we already know certain things, which we can only if our stakes were lower and we'd *already* bettered our situation. \n",
+    "\n",
+    "Data science and machine learning can't solve such problems. But what it can do is help us make great use of our data to help *inform* our decisions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "crWWrpdox8i-"
+   },
+   "source": [
+    "## 5. Random Forest\n",
+    "You might have noticed an important fact about decision trees. Each time we run a given decision tree algorithm to make a prediction (such as whether customers will buy the Hidden Farm coffee) we will actually get a slightly different result. This might seem weird, but it has a simple explanation: machine learning algorithms are by definition ***stochastic***, in that their output is at least partly determined by randomness. \n",
+    "\n",
+    "To account for this variability and ensure that we get the most accurate prediction, we might want to actually make lots of decision trees, and get a value that captures the centre or average of the outputs of those trees. Luckily, there's a method for this, known as the ***Random Forest***. \n",
+    "\n",
+    "Essentially, Random Forest involves making lots of trees with similar properties, and then performing summary statistics on the outputs of those trees to reach that central value. Random forests are hugely powerful classifers, and they can improve predictive accuracy and control over-fitting. \n",
+    "\n",
+    "Why not try to inform your decision with random forest? You'll need to make use of the RandomForestClassifier function within the sklearn.ensemble module, found [here](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html). "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "fI4fiVWq0IH9"
+   },
+   "source": [
+    "### 5a. Import necessary modules"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "vSRTnHnD0D-O"
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "from sklearn.datasets import make_classification"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "jKmFvvjb0WB9"
+   },
+   "source": [
+    "### 5b. Model\n",
+    "You'll use your X_train and y_train variables just as before.\n",
+    "\n",
+    "You'll then need to make a variable (call it firstRFModel) to store your new Random Forest model. You'll assign this variable the result of calling RandomForestClassifier().\n",
+    "\n",
+    "Then, just as before, you'll call fit() on that firstRFModel variable, and plug in X_train and y_train.\n",
+    "\n",
+    "Finally, you should make a variable called y_pred, and assign it the result of calling the predict() method on your new firstRFModel, with the X_test data passed to it. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {
+    "colab": {},
+    "colab_type": "code",
+    "id": "OQEeTiRG1aSm"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.9243697478991597\n",
+      "Balanced accuracy: 0.8960287679799875\n",
+      "Precision score 0.9058823529411765\n",
+      "Recall score 0.8048780487804879\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Plug in appropriate max_depth and random_state parameters \n",
+    "firstRFModel= RandomForestClassifier(max_depth=3, random_state=22) \n",
+    "\n",
+    "# Model and fit\n",
+    "firstRFModel.fit(X_train, y_train)\n",
+    "y_pred=firstRFModel.predict(X_test)\n",
+    "y_pred=pd.Series(y_pred)\n",
+    "print(\"Accuracy:\", metrics.accuracy_score(y_test,y_pred))\n",
+    "print(\"Balanced accuracy:\", metrics.balanced_accuracy_score(y_test,y_pred))\n",
+    "print('Precision score' , metrics.precision_score(y_test,y_pred, pos_label = \"Yes\"))\n",
+    "print('Recall score' , metrics.recall_score(y_test,y_pred, pos_label = \"No\"))\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "colab_type": "text",
+    "id": "sCIt6pyn1zpb"
+   },
+   "source": [
+    "### 5c. Revise conclusion\n",
+    "\n",
+    "Has your conclusion changed? Or is the result of executing random forest the same as your best model reached by a single decision tree? \n",
+    "A: Looking at the presented statistics it does appear that the random forest model is the worst predictor of all the models we created thus far. However, the decision tree models we applied above were fine- tuned a few times to improve accuracy while the random forest model was ran once with random metrics. It is possible that after some parameter updates the Random Forest Model could perform better."
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "collapsed_sections": [],
+   "name": "Springboard Decision Tree Specialty Coffee Case Study - Tier 3.ipynb",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Ultimate Take home.ipynb b/Ultimate Take home.ipynb
new file mode 100644
index 00000000..635d05ef
--- /dev/null
+++ b/Ultimate Take home.ipynb	
@@ -0,0 +1,1071 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e8909022",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import os\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import sklearn\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "import spacy\n",
+    "from yellowbrick.text import FreqDistVisualizer\n",
+    "from pathlib import Path\n",
+    "nlp=spacy.load('en_core_web_sm')\n",
+    "from textblob import TextBlob, Word, Blobber\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "\n",
+    "\n",
+    "\n",
+    "#from sb_utils import save_file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "c9a73454",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ultimate_logins = pd.read_json('C:/Users/jwatki8/Documents/Data Science Program information/ultimate_challenge/logins.json')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "113c8b99",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ultimate_users = pd.read_json('C:/Users/jwatki8/Documents/Data Science Program information/ultimate_challenge/ultimate_data_challenge.json')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "edc935bd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>login_time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1970-01-01 20:13:18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1970-01-01 20:16:10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1970-01-01 20:16:37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1970-01-01 20:16:36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1970-01-01 20:26:21</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           login_time\n",
+       "0 1970-01-01 20:13:18\n",
+       "1 1970-01-01 20:16:10\n",
+       "2 1970-01-01 20:16:37\n",
+       "3 1970-01-01 20:16:36\n",
+       "4 1970-01-01 20:26:21"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ultimate_logins.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "f239d1a7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>city</th>\n",
+       "      <th>trips_in_first_30_days</th>\n",
+       "      <th>signup_date</th>\n",
+       "      <th>avg_rating_of_driver</th>\n",
+       "      <th>avg_surge</th>\n",
+       "      <th>last_trip_date</th>\n",
+       "      <th>phone</th>\n",
+       "      <th>surge_pct</th>\n",
+       "      <th>ultimate_black_user</th>\n",
+       "      <th>weekday_pct</th>\n",
+       "      <th>avg_dist</th>\n",
+       "      <th>avg_rating_by_driver</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>King's Landing</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2014-01-25</td>\n",
+       "      <td>4.7</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>2014-06-17</td>\n",
+       "      <td>iPhone</td>\n",
+       "      <td>15.4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>3.67</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Astapor</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2014-01-29</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>2014-05-05</td>\n",
+       "      <td>Android</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>8.26</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Astapor</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>4.3</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>iPhone</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>0.77</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>King's Landing</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2014-01-10</td>\n",
+       "      <td>4.6</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>2014-06-29</td>\n",
+       "      <td>iPhone</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>4.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Winterfell</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2014-01-27</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>1.19</td>\n",
+       "      <td>2014-03-15</td>\n",
+       "      <td>Android</td>\n",
+       "      <td>11.8</td>\n",
+       "      <td>False</td>\n",
+       "      <td>82.4</td>\n",
+       "      <td>3.13</td>\n",
+       "      <td>4.9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             city  trips_in_first_30_days signup_date  avg_rating_of_driver  \\\n",
+       "0  King's Landing                       4  2014-01-25                   4.7   \n",
+       "1         Astapor                       0  2014-01-29                   5.0   \n",
+       "2         Astapor                       3  2014-01-06                   4.3   \n",
+       "3  King's Landing                       9  2014-01-10                   4.6   \n",
+       "4      Winterfell                      14  2014-01-27                   4.4   \n",
+       "\n",
+       "   avg_surge last_trip_date    phone  surge_pct  ultimate_black_user  \\\n",
+       "0       1.10     2014-06-17   iPhone       15.4                 True   \n",
+       "1       1.00     2014-05-05  Android        0.0                False   \n",
+       "2       1.00     2014-01-07   iPhone        0.0                False   \n",
+       "3       1.14     2014-06-29   iPhone       20.0                 True   \n",
+       "4       1.19     2014-03-15  Android       11.8                False   \n",
+       "\n",
+       "   weekday_pct  avg_dist  avg_rating_by_driver  \n",
+       "0         46.2      3.67                   5.0  \n",
+       "1         50.0      8.26                   5.0  \n",
+       "2        100.0      0.77                   5.0  \n",
+       "3         80.0      2.36                   4.9  \n",
+       "4         82.4      3.13                   4.9  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ultimate_users.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "36e41b5c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 93142 entries, 0 to 93141\n",
+      "Data columns (total 1 columns):\n",
+      " #   Column      Non-Null Count  Dtype         \n",
+      "---  ------      --------------  -----         \n",
+      " 0   login_time  93142 non-null  datetime64[ns]\n",
+      "dtypes: datetime64[ns](1)\n",
+      "memory usage: 727.8 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "ultimate_logins.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "9e15dff9",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 50000 entries, 0 to 49999\n",
+      "Data columns (total 12 columns):\n",
+      " #   Column                  Non-Null Count  Dtype  \n",
+      "---  ------                  --------------  -----  \n",
+      " 0   city                    50000 non-null  object \n",
+      " 1   trips_in_first_30_days  50000 non-null  int64  \n",
+      " 2   signup_date             50000 non-null  object \n",
+      " 3   avg_rating_of_driver    41878 non-null  float64\n",
+      " 4   avg_surge               50000 non-null  float64\n",
+      " 5   last_trip_date          50000 non-null  object \n",
+      " 6   phone                   49604 non-null  object \n",
+      " 7   surge_pct               50000 non-null  float64\n",
+      " 8   ultimate_black_user     50000 non-null  bool   \n",
+      " 9   weekday_pct             50000 non-null  float64\n",
+      " 10  avg_dist                50000 non-null  float64\n",
+      " 11  avg_rating_by_driver    49799 non-null  float64\n",
+      "dtypes: bool(1), float64(6), int64(1), object(4)\n",
+      "memory usage: 4.2+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "ultimate_users.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e8bcfb30",
+   "metadata": {},
+   "source": [
+    "First let's see if any cleaning needs to be done."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "744d6efb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1970-01-01 to 1970-04-13\n"
+     ]
+    }
+   ],
+   "source": [
+    "date_range = str(ultimate_logins['login_time'].dt.date.min()) + ' to ' +str(ultimate_logins['login_time'].dt.date.max())\n",
+    "print(date_range)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "95b41066",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#count the logins at specific times\n",
+    "ultimate_logins['login_count'] = 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "8b13f2ef",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# change column to datetime\n",
+    "ultimate_logins = ultimate_logins.set_index(pd.to_datetime(ultimate_logins['login_time'], unit='s'))[['login_count']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "8bf7fd8b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>login_count</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>login_time</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1970-01-01 20:13:18</th>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1970-01-01 20:16:10</th>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1970-01-01 20:16:37</th>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1970-01-01 20:16:36</th>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1970-01-01 20:26:21</th>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     login_count\n",
+       "login_time                      \n",
+       "1970-01-01 20:13:18            1\n",
+       "1970-01-01 20:16:10            1\n",
+       "1970-01-01 20:16:37            1\n",
+       "1970-01-01 20:16:36            1\n",
+       "1970-01-01 20:26:21            1"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ultimate_logins.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "e7079e3d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#create the 15 minute intervals\n",
+    "logins15 = ultimate_logins.resample('15Min').sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "00f07126",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1f2680e0790>]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# time series view\n",
+    "fig, ax = plt.subplots(figsize = (15,5))\n",
+    "plt.xlabel('Time')\n",
+    "plt.ylabel('Number of Logins')\n",
+    "plt.tight_layout()\n",
+    "plt.title('Logins Over Time')\n",
+    "# puts the data in the figure\n",
+    "plt.plot(logins15.index, logins15.login_count)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c1ed3474",
+   "metadata": {},
+   "source": [
+    "From this there doesn't seem to be any clear patterns. It looks like there is a high spike in March for some reason. Lets try to break the logins down further."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "832f332c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#data over the week "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "9587eed4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1500x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# bin data by the day\n",
+    "logins_daily = ultimate_logins.resample('D').sum()\n",
+    "logins_biz_day = ultimate_logins.resample('B').sum()\n",
+    "fridays = ultimate_logins.resample('W-FRI').sum()\n",
+    "saturdays = ultimate_logins.resample('W-SAT').sum()\n",
+    "sundays = ultimate_logins.resample('W-SUN').sum()\n",
+    "\n",
+    "\n",
+    "# line, scatterplot, and histograms of the binned data\n",
+    "fig, ax = plt.subplots(figsize = (15,8))\n",
+    "plt.xlabel('Time', fontsize = 22)\n",
+    "plt.ylabel('Number of Logins', fontsize = 22)\n",
+    "plt.title('Logins over Time', fontsize = 22)\n",
+    "\n",
+    "plt.bar(fridays.index, fridays.login_count, align= 'center', width = 0.1, label = \"Fridays\", color = 'Red')\n",
+    "plt.bar(saturdays.index, saturdays.login_count, label = 'Saturday', align = 'center', width = 0.1, color = 'Orange')\n",
+    "plt.bar(sundays.index, sundays.login_count, label = \"Sundays\", align= 'center', width = 0.1, color = 'Green')\n",
+    "plt.plot(logins_daily.index, logins_daily.login_count, label = 'Daily Frequencies')\n",
+    "plt.scatter(logins_biz_day.index, logins_biz_day.login_count, label='Weekdays')\n",
+    "\n",
+    "plt.legend(loc='upper left', fontsize = 16)\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "36e3fc7a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Breaking down daily data into hours"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "b5d16c3f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# resample index hourly\n",
+    "daily_logins = ultimate_logins.resample('H').sum()\n",
+    "# make a column that identify the day of week; Monday=0, Sunday=6\n",
+    "day_of_week = list(daily_logins.index.dayofweek)\n",
+    "daily_logins['day_of_week'] = day_of_week\n",
+    "# add column with just the hour (omiting the date)\n",
+    "daily_logins['hour'] = [time.hour for time in daily_logins.index]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "7a3e5655",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create dataframe of the average number of logins for each hour of each day\n",
+    "avg_hourly_logins = pd.pivot_table(daily_logins, values = 'login_count', index = 'hour', columns = 'day_of_week', aggfunc=np.mean).rename(columns= {0:'Monday',1:'Tuesday',2:'Wednesday',3:'Thursday',4:'Friday',5:'Saturday',6:'Sunday'})\n",
+    "# stack\n",
+    "avg_hourly_logins = avg_hourly_logins.stack(level=['day_of_week'])\n",
+    "# name the stack\n",
+    "avg_hourly_logins.name = 'avg_num_logins'\n",
+    "avg_hourly_logins_df = avg_hourly_logins.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "eda60171",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x1f2685155b0>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1872x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plot average hourly use\n",
+    "sns.catplot(x='hour', y='avg_num_logins', data=avg_hourly_logins_df, kind = 'bar', \n",
+    "            hue='day_of_week',height=8, aspect=11.7/5, legend=False)\n",
+    "ax = plt.gca()\n",
+    "ax.set_title('Average Logins per Hour', fontsize = 26)\n",
+    "ax.set_xlabel('Hour (24-hour clock)', fontsize = 26)\n",
+    "ax.set_ylabel('Average Number of Logins', fontsize = 26)\n",
+    "ax.tick_params(labelsize=20,labelcolor=\"black\")\n",
+    "ax.legend(bbox_to_anchor=(0.7,0.7,0.1, 0.2),fontsize=20)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c0c7aa57",
+   "metadata": {},
+   "source": [
+    "Part 2 ‑ Experiment and metrics design\n",
+    "The neighboring cities of Gotham and Metropolis have complementary circadian rhythms: on weekdays, Ultimate Gotham is most active at night, and Ultimate Metropolis is most active during the day. On weekends, there is reasonable activity in both cities.\n",
+    "\n",
+    "However, a toll bridge, with a two­way toll, between the two cities causes driver partners to tend to be exclusive to each city. The Ultimate managers of city operations for the two cities have proposed an experiment to encourage driver partners to be available in both cities, by reimbursing all toll costs.\n",
+    "\n",
+    "1. What would you choose as the key measure of success of this experiment in encouraging driver partners to serve both cities, and why would you choose this metric?\n",
+    "-The key metric I would use is I would look for achange in weekday activity. Is there in increase in the number of cars entering the bridge that connects Gothem and Metropolis? It seems like ths measure would show us if the reimbursement is actually increasisng traffic flow between the two cities. \n",
+    "\n",
+    "-I would use a one-tailed Z-test. I would examine the p-value to determine if the results are significant or not.\n",
+    "\n",
+    "\n",
+    "2. Describe a practical experiment you would design to compare the effectiveness of the proposed change in relation to the key measure of success. Please provide details on:\n",
+    "how you will implement the experiment?\n",
+    "what statistical test(s) you will conduct to verify the significance of the observation?\n",
+    "how you would interpret the results and provide recommendations to the city operations team along with any caveats?\n",
+    "\n",
+    "-If the p-value is less than 0.05 I would reject the null hypotheses and recommend that we continue reimbursing drivers but also continue to monitor the traffic. Maybe run the experiment again when more time has passed."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40d55b5f",
+   "metadata": {},
+   "source": [
+    "Part 3 ‑ Predictive modeling\n",
+    "1.Perform any cleaning, exploratory analysis, and/or visualizations to use the provided data for this analysis (a few sentences/plots describing your approach will suffice). What fraction of the observed users were retained?\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "23d30d63",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 50000 entries, 0 to 49999\n",
+      "Data columns (total 12 columns):\n",
+      " #   Column                  Non-Null Count  Dtype  \n",
+      "---  ------                  --------------  -----  \n",
+      " 0   city                    50000 non-null  object \n",
+      " 1   trips_in_first_30_days  50000 non-null  int64  \n",
+      " 2   signup_date             50000 non-null  object \n",
+      " 3   avg_rating_of_driver    41878 non-null  float64\n",
+      " 4   avg_surge               50000 non-null  float64\n",
+      " 5   last_trip_date          50000 non-null  object \n",
+      " 6   phone                   49604 non-null  object \n",
+      " 7   surge_pct               50000 non-null  float64\n",
+      " 8   ultimate_black_user     50000 non-null  bool   \n",
+      " 9   weekday_pct             50000 non-null  float64\n",
+      " 10  avg_dist                50000 non-null  float64\n",
+      " 11  avg_rating_by_driver    49799 non-null  float64\n",
+      "dtypes: bool(1), float64(6), int64(1), object(4)\n",
+      "memory usage: 4.2+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "ultimate_users.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "3d59723c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>city</th>\n",
+       "      <th>trips_in_first_30_days</th>\n",
+       "      <th>signup_date</th>\n",
+       "      <th>avg_rating_of_driver</th>\n",
+       "      <th>avg_surge</th>\n",
+       "      <th>last_trip_date</th>\n",
+       "      <th>phone</th>\n",
+       "      <th>surge_pct</th>\n",
+       "      <th>ultimate_black_user</th>\n",
+       "      <th>weekday_pct</th>\n",
+       "      <th>avg_dist</th>\n",
+       "      <th>avg_rating_by_driver</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>King's Landing</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2014-01-25</td>\n",
+       "      <td>4.7</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>2014-06-17</td>\n",
+       "      <td>iPhone</td>\n",
+       "      <td>15.4</td>\n",
+       "      <td>True</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>3.67</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Astapor</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2014-01-29</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>2014-05-05</td>\n",
+       "      <td>Android</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>8.26</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Astapor</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2014-01-06</td>\n",
+       "      <td>4.3</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>2014-01-07</td>\n",
+       "      <td>iPhone</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>0.77</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>King's Landing</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2014-01-10</td>\n",
+       "      <td>4.6</td>\n",
+       "      <td>1.14</td>\n",
+       "      <td>2014-06-29</td>\n",
+       "      <td>iPhone</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>2.36</td>\n",
+       "      <td>4.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Winterfell</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2014-01-27</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>1.19</td>\n",
+       "      <td>2014-03-15</td>\n",
+       "      <td>Android</td>\n",
+       "      <td>11.8</td>\n",
+       "      <td>False</td>\n",
+       "      <td>82.4</td>\n",
+       "      <td>3.13</td>\n",
+       "      <td>4.9</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             city  trips_in_first_30_days signup_date  avg_rating_of_driver  \\\n",
+       "0  King's Landing                       4  2014-01-25                   4.7   \n",
+       "1         Astapor                       0  2014-01-29                   5.0   \n",
+       "2         Astapor                       3  2014-01-06                   4.3   \n",
+       "3  King's Landing                       9  2014-01-10                   4.6   \n",
+       "4      Winterfell                      14  2014-01-27                   4.4   \n",
+       "\n",
+       "   avg_surge last_trip_date    phone  surge_pct  ultimate_black_user  \\\n",
+       "0       1.10     2014-06-17   iPhone       15.4                 True   \n",
+       "1       1.00     2014-05-05  Android        0.0                False   \n",
+       "2       1.00     2014-01-07   iPhone        0.0                False   \n",
+       "3       1.14     2014-06-29   iPhone       20.0                 True   \n",
+       "4       1.19     2014-03-15  Android       11.8                False   \n",
+       "\n",
+       "   weekday_pct  avg_dist  avg_rating_by_driver  \n",
+       "0         46.2      3.67                   5.0  \n",
+       "1         50.0      8.26                   5.0  \n",
+       "2        100.0      0.77                   5.0  \n",
+       "3         80.0      2.36                   4.9  \n",
+       "4         82.4      3.13                   4.9  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ultimate_users.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "1c58f139",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "city                         0\n",
+       "trips_in_first_30_days       0\n",
+       "signup_date                  0\n",
+       "avg_rating_of_driver      8122\n",
+       "avg_surge                    0\n",
+       "last_trip_date               0\n",
+       "phone                      396\n",
+       "surge_pct                    0\n",
+       "ultimate_black_user          0\n",
+       "weekday_pct                  0\n",
+       "avg_dist                     0\n",
+       "avg_rating_by_driver       201\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ultimate_users.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "2e7bfed7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ultimate_users=ultimate_users.drop(columns='phone')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "946be51e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "city                       object\n",
+       "trips_in_first_30_days      int64\n",
+       "signup_date                object\n",
+       "avg_rating_of_driver      float64\n",
+       "avg_surge                 float64\n",
+       "last_trip_date             object\n",
+       "surge_pct                 float64\n",
+       "ultimate_black_user          bool\n",
+       "weekday_pct               float64\n",
+       "avg_dist                  float64\n",
+       "avg_rating_by_driver      float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ultimate_users.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "a5bd92e1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ultimate_users['signup_date'] = pd.to_datetime(ultimate_users['signup_date'])\n",
+    "ultimate_users['last_trip_date'] = pd.to_datetime(ultimate_users['last_trip_date'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "76c2c2e4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# find the date the data was pulled\n",
+    "pull_date = ultimate_users.last_trip_date.max()\n",
+    "\n",
+    "# determine 30 days previous to the pull day\n",
+    "cut_off_day = pull_date - pd.Timedelta('30 days')\n",
+    "\n",
+    "# add active status to dataframe 0= inactive, 1 = active\n",
+    "ultimate_users['active_status'] = (ultimate_users.last_trip_date > cut_off_day).astype('int')\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "1402ef54",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# add dummies to categorical data\n",
+    "ultimate_users = pd.get_dummies(ultimate_users, columns = ['city'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "450d161a",
+   "metadata": {},
+   "source": [
+    "In this step, I checked for nulls and changed the data types. I also needed to take a look at the active users within 30 days of the pull date. Finally I added some dummy variables for the 'city' variable."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d3d26a49",
+   "metadata": {},
+   "source": [
+    "Part 3 ‑ Predictive modeling\n",
+    "\n",
+    "2.Build a predictive model to help Ultimate determine whether or not a user will be active in their 6th month on the system. Discuss why you chose your approach, what alternatives you considered, and any concerns you have. How valid is your model? Include any key indicators of model performance.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "31e73ed2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19858ce9",
+   "metadata": {},
+   "source": [
+    "Part 3 ‑ Predictive modeling\n",
+    "\n",
+    "3.Briefly discuss how Ultimate might leverage the insights gained from the model to improve its long term rider retention (again, a few sentences will suffice)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f6776b0",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a601c2b6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Unit 7 - Data Wrangling/7.2 - Data Collection/7.2.5 - API Mini Project/.env b/Unit 7 - Data Wrangling/7.2 - Data Collection/7.2.5 - API Mini Project/.env
new file mode 100644
index 00000000..bd3735ac
--- /dev/null
+++ b/Unit 7 - Data Wrangling/7.2 - Data Collection/7.2.5 - API Mini Project/.env	
@@ -0,0 +1 @@
+NASDAQ_API_KEY=y3n-NqsiVAj2Q4hiYe3F
\ No newline at end of file
diff --git a/api_data_wrangling_mini_project.ipynb b/api_data_wrangling_mini_project.ipynb
new file mode 100644
index 00000000..5b2e1382
--- /dev/null
+++ b/api_data_wrangling_mini_project.ipynb
@@ -0,0 +1,281 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This exercise will require you to pull some data from https://data.nasdaq.com/ (formerly Quandl API)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As a first step, you will need to register a free account on the https://data.nasdaq.com/ website."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "After you register, you will be provided with a unique API key, that you should store:\n",
+    "\n",
+    "*Note*: Use a `.env` file and put your key in there and `python-dotenv` to access it in this notebook. \n",
+    "\n",
+    "The code below uses a key that was used when generating this project but has since been deleted. Never submit your keys to source control. There is a `.env-example` file in this repository to illusrtate what you need. Copy that to a file called `.env` and use your own api key in that `.env` file. Make sure you also have a `.gitignore` file with a line for `.env` added to it. \n",
+    "\n",
+    "The standard Python gitignore is [here](https://github.com/github/gitignore/blob/master/Python.gitignore) you can just copy that. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "y3n-NqsiVAj2Q4hiYe3F\n"
+     ]
+    }
+   ],
+   "source": [
+    "# get api key from your .env file\n",
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "\n",
+    "API_KEY= None\n",
+    "with open('./env', 'r') as env_file:\n",
+    "    API_KEY = env_file.read().strip()\n",
+    "\n",
+    "print(API_KEY)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nasdaq Data has a large number of data sources, but, unfortunately, most of them require a Premium subscription. Still, there are also a good number of free datasets."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For this mini project, we will focus on equities data from the Frankfurt Stock Exhange (FSE), which is available for free. We'll try and analyze the stock prices of a company called Carl Zeiss Meditec, which manufactures tools for eye examinations, as well as medical lasers for laser eye surgery: https://www.zeiss.com/meditec/int/home.html. The company is listed under the stock ticker AFX_X."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can find the detailed Nasdaq Data API instructions here: https://docs.data.nasdaq.com/docs/in-depth-usage"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "While there is a dedicated Python package for connecting to the Nasdaq API, we would prefer that you use the *requests* package, which can be easily downloaded using *pip* or *conda*. You can find the documentation for the package here: http://docs.python-requests.org/en/master/ "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, apart from the *requests* package, you are encouraged to not use any third party Python packages, such as *pandas*, and instead focus on what's available in the Python Standard Library (the *collections* module might come in handy: https://pymotw.com/3/collections/).\n",
+    "Also, since you won't have access to DataFrames, you are encouraged to us Python's native data structures - preferably dictionaries, though some questions can also be answered using lists.\n",
+    "You can read more on these data structures here: https://docs.python.org/3/tutorial/datastructures.html"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Keep in mind that the JSON responses you will be getting from the API map almost one-to-one to Python's dictionaries. Unfortunately, they can be very nested, so make sure you read up on indexing dictionaries in the documentation provided above."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# First, import the relevant modules\n",
+    "from urllib.request import urlopen, Request\n",
+    "import requests\n",
+    "from bs4 import BeautifulSoup\n",
+    "import json\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note: API's can change a bit with each version, for this exercise it is reccomended to use the nasdaq api at `https://data.nasdaq.com/api/v3/`. This is the same api as what used to be quandl so `https://www.quandl.com/api/v3/` should work too.\n",
+    "\n",
+    "Hint: We are looking for the `AFX_X` data on the `datasets/FSE/` dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{\"dataset_data\":{\"limit\":null,\"transform\":null,\"column_index\":null,\"column_names\":[\"Date\",\"Open\",\"High\",\"Low\",\"Close\",\"Change\",\"Traded Volume\",\"Turnover\",\"Last Price of the Day\",\"Daily Traded Units\",\"Daily Turnover\"],\"start_date\":\"2016-03-22\",\"end_date\":\"2016-03-22\",\"frequency\":\"daily\",\"data\":[[\"2016-03-22\",26.98,27.4,26.87,27.25,null,60752.0,1651197.0,null,null,null]],\"collapse\":null,\"order\":null}}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Now, call the Nasdaq API and pull out a small sample of the data (only one day) to get a glimpse\n",
+    "# into the JSON structure that will be returned\n",
+    "\n",
+    "url_1='https://data.nasdaq.com/api/v3/datasets/FSE/AFX_X/data.json?start_date=2016-03-22&end_date=2016-03-22&api_key=y3n-NqsiVAj2Q4hiYe3F'\n",
+    "r2 = requests.get(url_1)\n",
+    "print(r2.text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'dataset_data': {'limit': None, 'transform': None, 'column_index': None, 'column_names': ['Date', 'Open', 'High', 'Low', 'Close', 'Change', 'Traded Volume', 'Turnover', 'Last Price of the Day', 'Daily Traded Units', 'Daily Turnover'], 'start_date': '2016-03-22', 'end_date': '2016-03-22', 'frequency': 'daily', 'data': [['2016-03-22', 26.98, 27.4, 26.87, 27.25, None, 60752.0, 1651197.0, None, None, None]], 'collapse': None, 'order': None}}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Inspect the JSON structure of the object you created, and take note of how nested it is,\n",
+    "# as well as the overall structure\n",
+    "json_data2= r2.json()\n",
+    "print(json_data2)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "These are your tasks for this mini project:\n",
+    "\n",
+    "1. Collect data from the Franfurt Stock Exchange, for the ticker AFX_X, for the whole year 2017 (keep in mind that the date format is YYYY-MM-DD).\n",
+    "2. Convert the returned JSON object into a Python dictionary.\n",
+    "3. Calculate what the highest and lowest opening prices were for the stock in this period.\n",
+    "4. What was the largest change in any one day (based on High and Low price)?\n",
+    "5. What was the largest change between any two days (based on Closing Price)?\n",
+    "6. What was the average daily trading volume during this year?\n",
+    "7. (Optional) What was the median trading volume during this year. (Note: you may need to implement your own function for calculating the median.)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "dataset_data:  {'limit': None, 'transform': None, 'column_index': None, 'column_names': ['Date', 'Open', 'High', 'Low', 'Close', 'Change', 'Traded Volume', 'Turnover', 'Last Price of the Day', 'Daily Traded Units', 'Daily Turnover'], 'start_date': '2017-01-01', 'end_date': '2017-12-31', 'frequency': 'daily', 'data': [['2017-12-29', 51.76, 51.94, 51.45, 51.76, None, 34640.0, 1792304.0, None, None, None], ['2017-12-28', 51.65, 51.82, 51.43, 51.6, None, 40660.0, 2099024.0, None, None, None], ['2017-12-27', 51.45, 51.89, 50.76, 51.82, None, 57452.0, 2957018.0, None, None, None], ['2017-12-22', 51.05, 51.5, 50.92, 51.32, None, 71165.0, 3641949.0, None, None, None], ['2017-12-21', 51.16, 51.52, 50.9, 51.4, None, 120649.0, 6179433.0, None, None, None], ['2017-12-20', 51.88, 52.04, 51.2, 51.27, None, 50587.0, 2610258.0, None, None, None], ['2017-12-19', 52.73, 52.73, 51.07, 51.66, None, 137313.0, 7102361.0, None, None, None], ['2017-12-18', 52.37, 52.75, 51.61, 52.62, None, 129733.0, 6770499.0, None, None, None], ['2017-12-15', 52.7, 52.7, 51.64, 52.01, None, 204080.0, 10596319.0, None, None, None], ['2017-12-14', 53.11, 53.54, 52.15, 52.67, None, 132981.0, 7016953.0, None, None, None], ['2017-12-13', 52.64, 53.35, 52.48, 53.09, None, 128434.0, 6801159.0, None, None, None], ['2017-12-12', 52.29, 53.1, 51.82, 52.43, None, 87911.0, 4615924.0, None, None, None], ['2017-12-11', 52.28, 52.45, 51.26, 52.14, None, 71817.0, 3724193.0, None, None, None], ['2017-12-08', 51.5, 52.83, 51.28, 52.12, None, 109157.0, 5690648.0, None, None, None], ['2017-12-07', 50.89, 51.47, 50.81, 51.47, None, 48123.0, 2463848.0, None, None, None], ['2017-12-06', 50.8, 51.11, 50.39, 50.89, None, 88730.0, 4504075.0, None, None, None], ['2017-12-05', 51.21, 51.38, 50.4, 51.25, None, 83023.0, 4231971.0, None, None, None], ['2017-12-04', 49.5, 51.23, 49.5, 51.14, None, 94385.0, 4800027.0, None, None, None], ['2017-12-01', 49.52, 50.49, 49.17, 49.86, None, 101733.0, 5065932.0, None, None, None], ['2017-11-30', 48.64, 49.84, 48.28, 49.7, None, 123019.0, 6085171.0, None, None, None], ['2017-11-29', 49.64, 49.64, 48.7, 48.75, None, 67342.0, 3292223.0, None, None, None], ['2017-11-28', 49.09, 49.89, 49.03, 49.25, None, 42669.0, 2107358.0, None, None, None], ['2017-11-27', 49.13, 49.73, 48.96, 49.2, None, 102180.0, 5055762.0, None, None, None], ['2017-11-24', 49.11, 49.41, 48.87, 49.11, None, 50350.0, 2472842.0, None, None, None], ['2017-11-23', 48.8, 49.46, 48.45, 49.2, None, 38834.0, 1909352.0, None, None, None], ['2017-11-22', 48.4, 49.61, 48.39, 48.8, None, 91142.0, 4478093.0, None, None, None], ['2017-11-21', 47.25, 48.59, 46.78, 48.39, None, 78502.0, 3782098.0, None, None, None], ['2017-11-20', 46.57, 47.38, 46.54, 47.04, None, 97252.0, 4563515.0, None, None, None], ['2017-11-17', 47.03, 47.15, 46.8, 46.84, None, 54107.0, 2540820.0, None, None, None], ['2017-11-16', 47.09, 47.23, 46.55, 47.03, None, 89373.0, 4195732.0, None, None, None], ['2017-11-15', 47.98, 48.01, 46.75, 47.05, None, 67593.0, 3188321.0, None, None, None], ['2017-11-14', 48.4, 48.9, 47.84, 48.0, None, 67672.0, 3259979.0, None, None, None], ['2017-11-13', 48.38, 48.61, 47.76, 48.34, None, 76286.0, 3681337.0, None, None, None], ['2017-11-10', 47.3, 48.89, 47.16, 48.34, None, 90245.0, 4361552.0, None, None, None], ['2017-11-09', 47.65, 48.06, 47.09, 47.21, None, 120268.0, 5712034.0, None, None, None], ['2017-11-08', 46.42, 47.72, 46.42, 47.47, None, 94195.0, 4463935.0, None, None, None], ['2017-11-07', 46.16, 46.33, 45.84, 46.26, None, 48152.0, 2224221.0, None, None, None], ['2017-11-06', 45.81, 46.09, 45.76, 45.99, None, 60716.0, 2789220.0, None, None, None], ['2017-11-03', 45.0, 46.04, 44.83, 45.97, None, 56911.0, 2603498.0, None, None, None], ['2017-11-02', 45.88, 46.06, 45.18, 45.27, None, 37958.0, 1724840.0, None, None, None], ['2017-11-01', 46.29, 46.55, 45.97, 46.04, None, 56319.0, 2603859.0, None, None, None], ['2017-10-30', 46.53, 46.65, 45.61, 45.76, None, 56245.0, 2585397.0, None, None, None], ['2017-10-27', 45.48, 46.42, 45.46, 46.41, None, 74472.0, 3434087.0, None, None, None], ['2017-10-26', 45.2, 45.41, 44.91, 45.41, None, 56319.0, 2548078.0, None, None, None], ['2017-10-25', 45.01, 45.06, 44.7, 45.0, None, 47730.0, 2145697.0, None, None, None], ['2017-10-24', 45.16, 45.27, 44.75, 44.85, None, 43042.0, 1937616.0, None, None, None], ['2017-10-23', 44.9, 45.34, 44.89, 45.0, None, 43375.0, 1952918.0, None, None, None], ['2017-10-20', 45.08, 45.34, 44.76, 44.87, None, 55707.0, 2503853.0, None, None, None], ['2017-10-19', 45.72, 45.85, 44.79, 45.0, None, 59991.0, 2703085.0, None, None, None], ['2017-10-18', 46.01, 46.2, 45.61, 45.77, None, 45263.0, 2076951.0, None, None, None], ['2017-10-17', 45.8, 46.06, 45.37, 45.96, None, 65837.0, 3014080.0, None, None, None], ['2017-10-16', 45.61, 45.75, 45.3, 45.55, None, 49246.0, 2243129.0, None, None, None], ['2017-10-13', 45.5, 45.7, 45.37, 45.4, None, 43362.0, 1971801.0, None, None, None], ['2017-10-12', 45.58, 45.58, 45.17, 45.43, None, 49180.0, 2233481.0, None, None, None], ['2017-10-11', 45.97, 45.97, 45.25, 45.29, None, 69455.0, 3158321.0, None, None, None], ['2017-10-10', 45.64, 46.04, 45.57, 45.84, None, 65860.0, 3016658.0, None, None, None], ['2017-10-09', 46.2, 46.2, 45.6, 45.74, None, 44059.0, 2015453.0, None, None, None], ['2017-10-06', 46.19, 46.19, 45.69, 46.0, None, 66760.0, 3066198.0, None, None, None], ['2017-10-05', 46.01, 46.09, 45.63, 46.05, None, 94804.0, 4352002.0, None, None, None], ['2017-10-04', 45.36, 46.17, 45.22, 46.11, None, 115706.0, 5313199.0, None, None, None], ['2017-10-02', 44.51, 44.98, 44.18, 44.98, None, 95313.0, 4265024.0, None, None, None], ['2017-09-29', 43.58, 44.17, 43.3, 44.17, None, 99821.0, 4384796.0, None, None, None], ['2017-09-28', 42.0, 43.56, 42.0, 43.56, None, 157234.0, 6775569.0, None, None, None], ['2017-09-27', 42.35, 42.49, 41.78, 42.04, None, 76600.0, 3219861.0, None, None, None], ['2017-09-26', 42.3, 42.57, 42.11, 42.37, None, 51321.0, 2175381.0, None, None, None], ['2017-09-25', 42.3, 42.3, 41.96, 42.07, None, 56224.0, 2366453.0, None, None, None], ['2017-09-22', 41.48, 42.38, 41.48, 42.06, None, 79955.0, 3362517.0, None, None, None], ['2017-09-21', 42.29, 42.29, 41.39, 41.46, None, 105194.0, 4378409.0, None, None, None], ['2017-09-20', 42.54, 42.54, 41.99, 41.99, None, 57838.0, 2440557.0, None, None, None], ['2017-09-19', 42.65, 42.65, 42.13, 42.44, None, 65546.0, 2777065.0, None, None, None], ['2017-09-18', 42.5, 42.63, 42.23, 42.27, None, 44037.0, 1864954.0, None, None, None], ['2017-09-15', 42.29, 42.81, 42.25, 42.42, None, 107144.0, 4555791.0, None, None, None], ['2017-09-14', 42.35, 42.8, 42.35, 42.52, None, 65157.0, 2770696.0, None, None, None], ['2017-09-13', 42.49, 42.69, 42.22, 42.45, None, 68801.0, 2921240.0, None, None, None], ['2017-09-12', 43.21, 43.34, 42.62, 42.73, None, 52828.0, 2259924.0, None, None, None], ['2017-09-11', 42.81, 42.89, 42.56, 42.85, None, 103273.0, 4415614.0, None, None, None], ['2017-09-08', 42.7, 42.75, 42.56, 42.67, None, 59881.0, 2553977.0, None, None, None], ['2017-09-07', 43.0, 43.02, 42.67, 42.77, None, 64320.0, 2751388.0, None, None, None], ['2017-09-06', 42.66, 42.71, 42.34, 42.55, None, 71006.0, 3020229.0, None, None, None], ['2017-09-05', 43.0, 43.19, 42.55, 42.62, None, 66351.0, 2846115.0, None, None, None], ['2017-09-04', 42.38, 42.75, 41.95, 42.6, None, 105288.0, 4471634.0, None, None, None], ['2017-09-01', 42.16, 43.06, 42.07, 42.41, None, 151474.0, 6453558.0, None, None, None], ['2017-08-31', 42.0, 42.08, 41.12, 41.9, None, 157888.0, 6580200.0, None, None, None], ['2017-08-30', 42.0, 42.2, 41.49, 41.94, None, 97804.0, 4090262.0, None, None, None], ['2017-08-29', 41.71, 41.98, 41.33, 41.85, None, 98156.0, 4094452.0, None, None, None], ['2017-08-28', 42.11, 42.25, 41.86, 41.91, None, 47130.0, 1978704.0, None, None, None], ['2017-08-25', 42.64, 42.64, 42.05, 42.14, None, 69734.0, 2948016.0, None, None, None], ['2017-08-24', 42.72, 43.05, 42.63, 42.69, None, 65213.0, 2792319.0, None, None, None], ['2017-08-23', 42.82, 43.17, 42.6, 42.71, None, 70269.0, 3011578.0, None, None, None], ['2017-08-22', 42.46, 42.96, 42.4, 42.71, None, 95376.0, 4075646.0, None, None, None], ['2017-08-21', 42.42, 42.76, 42.2, 42.26, None, 68812.0, 2922972.0, None, None, None], ['2017-08-18', 42.28, 42.6, 42.01, 42.41, None, 72886.0, 3092377.0, None, None, None], ['2017-08-17', 41.88, 43.01, 41.76, 42.5, None, 131361.0, 5583704.0, None, None, None], ['2017-08-16', 42.4, 42.62, 41.98, 42.05, None, 104676.0, 4408312.0, None, None, None], ['2017-08-15', 42.53, 42.53, 42.2, 42.28, None, 64334.0, 2721852.0, None, None, None], ['2017-08-14', 42.12, 42.69, 42.01, 42.3, None, 127682.0, 5416963.0, None, None, None], ['2017-08-11', 41.3, 41.94, 40.96, 41.94, None, 183412.0, 7604144.0, None, None, None], ['2017-08-10', 41.73, 41.99, 41.14, 41.68, None, 175161.0, 7303562.0, None, None, None], ['2017-08-09', 43.5, 43.5, 41.64, 41.81, None, 355857.0, 15003956.0, None, None, None], ['2017-08-08', 44.9, 45.09, 44.15, 44.37, None, 156168.0, 6941408.0, None, None, None], ['2017-08-07', 45.85, 46.34, 44.02, 44.96, None, 164543.0, 7378816.0, None, None, None], ['2017-08-04', 45.13, 45.13, 44.36, 45.07, None, 96202.0, 4306911.0, None, None, None], ['2017-08-03', 45.34, 45.54, 44.91, 44.97, None, 77854.0, 3517146.0, None, None, None], ['2017-08-02', 45.25, 45.77, 44.9, 45.56, None, 187468.0, 8528548.0, None, None, None], ['2017-08-01', 45.24, 45.54, 45.1, 45.45, None, 74975.0, 3399891.0, None, None, None], ['2017-07-31', 44.94, 45.75, 44.94, 45.3, None, 62672.0, 2844210.0, None, None, None], ['2017-07-28', 45.26, 45.29, 44.75, 44.97, None, 114006.0, 5127247.0, None, None, None], ['2017-07-27', 45.16, 45.45, 45.15, 45.25, None, 50557.0, 2290284.0, None, None, None], ['2017-07-26', 44.91, 45.33, 44.46, 45.16, None, 81970.0, 3688510.0, None, None, None], ['2017-07-25', 44.7, 45.04, 44.63, 44.82, None, 112224.0, 5033312.0, None, None, None], ['2017-07-24', 45.31, 45.31, 44.49, 44.61, None, 104282.0, 4661866.0, None, None, None], ['2017-07-21', 45.57, 45.88, 45.04, 45.44, None, 73422.0, 3334695.0, None, None, None], ['2017-07-20', 45.74, 45.96, 45.23, 45.66, None, 87399.0, 3986488.0, None, None, None], ['2017-07-19', 45.06, 45.72, 44.94, 45.57, None, 71971.0, 3273001.0, None, None, None], ['2017-07-18', 45.5, 45.55, 44.7, 45.0, None, 104003.0, 4684627.0, None, None, None], ['2017-07-17', 45.6, 46.23, 45.29, 45.6, None, 104995.0, 4801806.0, None, None, None], ['2017-07-14', 45.07, 45.56, 44.83, 45.53, None, 67375.0, 3054060.0, None, None, None], ['2017-07-13', 44.67, 45.18, 44.67, 44.95, None, 82745.0, 3718928.0, None, None, None], ['2017-07-12', 44.29, 45.05, 43.89, 44.95, None, 115705.0, 5133971.0, None, None, None], ['2017-07-11', 44.94, 44.94, 44.08, 44.2, None, 90538.0, 4010457.0, None, None, None], ['2017-07-10', 44.64, 45.18, 44.51, 44.7, None, 71868.0, 3221218.0, None, None, None], ['2017-07-07', 44.79, 44.79, 44.25, 44.53, None, 47999.0, 2136578.0, None, None, None], ['2017-07-06', 45.5, 45.5, 44.15, 44.62, None, 66116.0, 2952605.0, None, None, None], ['2017-07-05', 44.67, 45.36, 44.44, 45.19, None, 48706.0, 2189436.0, None, None, None], ['2017-07-04', 45.83, 45.83, 44.74, 44.8, None, 50549.0, 2273551.0, None, None, None], ['2017-07-03', 45.29, 45.83, 45.06, 45.75, None, 71381.0, 3251502.0, None, None, None], ['2017-06-30', 45.01, 45.74, 45.0, 45.44, None, 136112.0, 6187148.0, None, None, None], ['2017-06-29', 45.73, 45.81, 45.11, 45.2, None, 134965.0, 6132452.0, None, None, None], ['2017-06-28', 46.68, 46.68, 45.41, 45.68, None, 117165.0, 5381488.0, None, None, None], ['2017-06-27', 47.23, 47.33, 46.39, 46.83, None, 82492.0, 3866344.0, None, None, None], ['2017-06-26', 46.95, 47.63, 46.91, 47.21, None, 73322.0, 3465639.0, None, None, None], ['2017-06-23', 47.29, 47.4, 46.79, 46.99, None, 80586.0, 3792498.0, None, None, None], ['2017-06-22', 47.03, 47.4, 46.75, 47.29, None, 56071.0, 2640508.0, None, None, None], ['2017-06-21', 47.46, 47.48, 46.53, 46.99, None, 89752.0, 4206563.0, None, None, None], ['2017-06-20', 46.48, 47.43, 46.27, 47.37, None, 108334.0, 5109730.0, None, None, None], ['2017-06-19', 46.9, 46.9, 46.25, 46.64, None, 70056.0, 3260381.0, None, None, None], ['2017-06-16', 45.66, 46.8, 45.66, 46.63, None, 202214.0, 9411695.0, None, None, None], ['2017-06-15', 46.34, 46.34, 45.21, 45.67, None, 101733.0, 4635593.0, None, None, None], ['2017-06-14', 46.52, 46.86, 46.05, 46.33, None, 83741.0, 3881453.0, None, None, None], ['2017-06-13', 46.5, 46.51, 46.03, 46.32, None, 107644.0, 4981185.0, None, None, None], ['2017-06-12', 47.31, 47.43, 45.89, 46.31, None, 112942.0, 5238390.0, None, None, None], ['2017-06-09', 46.77, 47.44, 46.55, 47.44, None, 99674.0, 4702170.0, None, None, None], ['2017-06-08', 47.8, 47.8, 46.27, 46.27, None, 1945.0, 90599.0, None, None, None], ['2017-06-07', 47.01, 47.43, 47.01, 47.43, None, 1081.0, 51021.0, None, None, None], ['2017-06-06', 47.12, 47.45, 46.21, 47.43, None, 686.0, 32083.0, None, None, None], ['2017-06-02', 46.8, 46.99, 46.72, 46.99, None, 290.0, 13584.0, None, None, None], ['2017-06-01', 46.12, 46.52, 45.89, 46.52, None, 106513.0, 4930686.0, None, None, None], ['2017-05-31', 45.22, 46.26, 45.22, 45.86, None, 522.0, 24044.0, None, None, None], ['2017-05-30', 45.05, 46.02, 45.05, 46.02, None, 587.0, 26792.0, None, None, None], ['2017-05-29', 45.61, 45.61, 45.24, 45.32, None, 112.0, 5089.0, None, None, None], ['2017-05-26', 44.8, 45.36, 44.71, 45.3, None, 74453.0, 3360707.0, None, None, None], ['2017-05-25', 44.8, 44.87, 44.29, 44.78, None, 49970.0, 2231857.0, None, None, None], ['2017-05-24', 43.92, 44.67, 43.92, 44.53, None, 111923.0, 4971343.0, None, None, None], ['2017-05-23', 43.67, 44.13, 43.55, 43.9, None, 38308.0, 1681904.0, None, None, None], ['2017-05-22', 44.16, 44.22, 43.44, 43.84, None, 70856.0, 3103013.0, None, None, None], ['2017-05-19', 43.74, 44.12, 43.74, 44.12, None, 45.0, 1980.0, None, None, None], ['2017-05-18', 44.0, 44.3, 43.29, 43.98, None, 166160.0, 7277314.0, None, None, None], ['2017-05-17', 45.06, 45.34, 44.01, 44.19, None, 149515.0, 6664744.0, None, None, None], ['2017-05-16', 45.15, 45.36, 44.56, 45.31, None, 101476.0, 4567885.0, None, None, None], ['2017-05-15', 45.09, 45.78, 44.31, 45.14, None, 193702.0, 8734286.0, None, None, None], ['2017-05-12', 45.18, 45.18, 44.16, 44.99, None, 159495.0, 7113519.0, None, None, None], ['2017-05-11', 43.4, 46.06, 43.25, 45.0, None, 189125.0, 8496322.0, None, None, None], ['2017-05-10', 43.5, 43.6, 42.53, 43.28, None, 91858.0, 3958630.0, None, None, None], ['2017-05-09', 41.83, 43.55, 41.82, 43.3, None, 151439.0, 6538516.0, None, None, None], ['2017-05-08', 43.0, 43.0, 42.04, 42.24, None, 97456.0, 4128048.0, None, None, None], ['2017-05-05', 42.52, 42.91, 42.38, 42.75, None, 78512.0, 3353971.0, None, None, None], ['2017-05-04', 41.86, 42.5, 41.71, 42.5, None, 82058.0, 3465505.0, None, None, None], ['2017-05-03', 42.2, 42.29, 41.78, 41.9, None, 65266.0, 2738394.0, None, None, None], ['2017-05-02', 41.89, 42.23, 41.76, 42.15, None, 86559.0, 3636583.0, None, None, None], ['2017-05-01', None, 42.245, 41.655, 41.72, -0.44, 86348.0, 3606589.0, None, None, None], ['2017-04-28', 42.17, 42.25, 41.66, 41.72, None, 86348.0, 3606589.0, None, None, None], ['2017-04-27', 41.51, 42.24, 41.51, 42.16, None, 151683.0, 6380639.0, None, None, None], ['2017-04-26', 41.88, 41.94, 41.4, 41.5, None, 65847.0, 2743109.0, None, None, None], ['2017-04-25', 41.93, 42.18, 41.66, 41.89, None, 85973.0, 3604204.0, None, None, None], ['2017-04-24', 42.01, 42.02, 41.23, 41.81, None, 102084.0, 4247032.0, None, None, None], ['2017-04-21', 41.97, 42.14, 41.01, 41.32, None, 186784.0, 7728103.0, None, None, None], ['2017-04-20', 42.5, 42.64, 41.52, 41.93, None, 223621.0, 9418192.0, None, None, None], ['2017-04-19', 41.94, 42.61, 41.94, 42.61, None, 92722.0, 3930856.0, None, None, None], ['2017-04-18', 42.24, 42.4, 41.54, 42.0, None, 133057.0, 5587565.0, None, None, None], ['2017-04-17', None, 42.48, 41.985, 42.2, None, 88416.0, 3734717.0, None, None, None], ['2017-04-14', None, 42.48, 41.985, 42.2, None, 88416.0, 3734717.0, None, None, None], ['2017-04-13', 42.06, 42.48, 41.99, 42.2, None, 88416.0, 3734717.0, None, None, None], ['2017-04-12', 42.02, 42.45, 41.84, 42.2, None, 158278.0, 6672547.0, None, None, None], ['2017-04-11', 41.62, 42.03, 41.53, 41.75, None, 107817.0, 4501109.0, None, None, None], ['2017-04-10', 41.46, 41.68, 41.31, 41.68, None, 62297.0, 2585922.0, None, None, None], ['2017-04-07', 40.9, 41.42, 40.84, 41.42, None, 81255.0, 3344628.0, None, None, None], ['2017-04-06', 40.96, 41.25, 40.83, 41.05, None, 96794.0, 3968681.0, None, None, None], ['2017-04-05', 41.1, 41.34, 40.79, 41.1, None, 156005.0, 6404780.0, None, None, None], ['2017-04-04', 39.5, 40.88, 39.48, 40.81, None, 193156.0, 7822665.0, None, None, None], ['2017-04-03', 40.15, 40.15, 39.54, 39.64, None, 127973.0, 5081376.0, None, None, None], ['2017-03-31', 39.77, 40.07, 39.42, 39.98, None, 95382.0, 3795061.0, None, None, None], ['2017-03-30', 40.02, 40.14, 39.42, 39.75, None, 189201.0, 7541354.0, None, None, None], ['2017-03-29', 39.39, 40.01, 39.05, 40.01, None, 335406.0, 13349426.0, None, None, None], ['2017-03-28', 38.95, 39.35, 38.79, 39.22, None, 115075.0, 4505494.0, None, None, None], ['2017-03-27', 38.73, 39.1, 38.53, 38.85, None, 191515.0, 7446952.0, None, None, None], ['2017-03-24', 38.94, 39.02, 38.6, 38.94, None, 210926.0, 8205507.0, None, None, None], ['2017-03-23', 39.01, 39.25, 38.63, 38.96, None, 169971.0, 6621807.0, None, None, None], ['2017-03-22', 38.25, 39.02, 37.53, 38.94, None, 670349.0, 25910543.0, None, None, None], ['2017-03-21', 41.8, 41.83, 40.97, 40.98, None, 56906.0, 2349965.0, None, None, None], ['2017-03-20', 41.26, 42.17, 41.26, 41.97, None, 97572.0, 4074891.0, None, None, None], ['2017-03-17', 41.47, 41.59, 41.16, 41.34, None, 90109.0, 3734232.0, None, None, None], ['2017-03-16', 41.4, 41.57, 41.09, 41.46, None, 55799.0, 2308423.0, None, None, None], ['2017-03-15', 41.4, 41.5, 40.91, 41.25, None, 60324.0, 2488650.0, None, None, None], ['2017-03-14', 41.2, 41.5, 41.2, 41.3, None, 60420.0, 2498025.0, None, None, None], ['2017-03-13', 41.4, 41.46, 41.08, 41.3, None, 44803.0, 1850251.0, None, None, None], ['2017-03-10', 41.53, 41.53, 41.16, 41.4, None, 38518.0, 1592270.0, None, None, None], ['2017-03-09', 41.61, 41.61, 41.16, 41.4, None, 43988.0, 1819182.0, None, None, None], ['2017-03-08', 41.13, 41.71, 40.95, 41.68, None, 45111.0, 1870935.0, None, None, None], ['2017-03-07', 41.5, 41.8, 41.25, 41.42, None, 61925.0, 2569608.0, None, None, None], ['2017-03-06', 41.25, 41.4, 40.81, 41.4, None, 46510.0, 1916799.0, None, None, None], ['2017-03-03', 41.12, 41.22, 40.84, 41.18, None, 40800.0, 1675587.0, None, None, None], ['2017-03-02', 41.38, 41.39, 40.76, 41.17, None, 49863.0, 2048153.0, None, None, None], ['2017-03-01', 41.19, 41.57, 40.9, 41.2, None, 86753.0, 3569796.0, None, None, None], ['2017-02-28', 40.38, 40.95, 40.38, 40.84, None, 67440.0, 2747011.0, None, None, None], ['2017-02-27', 39.75, 40.64, 39.75, 40.39, None, 62655.0, 2520260.0, None, None, None], ['2017-02-24', 39.77, 40.14, 38.91, 39.74, None, 101294.0, 4015150.0, None, None, None], ['2017-02-23', 39.72, 39.98, 39.38, 39.79, None, 81945.0, 3260642.0, None, None, None], ['2017-02-22', 39.6, 39.75, 39.27, 39.7, None, 77619.0, 3066894.0, None, None, None], ['2017-02-21', 38.85, 39.57, 38.85, 39.45, None, 46070.0, 1808350.0, None, None, None], ['2017-02-20', 39.25, 39.25, 38.81, 38.98, None, 37014.0, 1444138.0, None, None, None], ['2017-02-17', 38.8, 39.03, 38.48, 39.02, None, 60583.0, 2352961.0, None, None, None], ['2017-02-16', 38.8, 39.2, 38.25, 38.71, None, 84682.0, 3282322.0, None, None, None], ['2017-02-15', 38.5, 38.93, 38.4, 38.72, None, 77420.0, 2996861.0, None, None, None], ['2017-02-14', 38.81, 38.86, 38.0, 38.37, None, 82601.0, 3163898.0, None, None, None], ['2017-02-13', 37.37, 39.36, 37.35, 38.53, None, 177171.0, 6804028.0, None, None, None], ['2017-02-10', 36.65, 37.5, 36.57, 37.06, None, 115843.0, 4291017.0, None, None, None], ['2017-02-09', 36.2, 36.25, 35.77, 36.25, None, 67781.0, 2445428.0, None, None, None], ['2017-02-08', 35.98, 36.14, 35.84, 36.05, None, 39731.0, 1431205.0, None, None, None], ['2017-02-07', 35.56, 36.05, 35.36, 35.89, None, 67410.0, 2410818.0, None, None, None], ['2017-02-06', 36.06, 36.15, 35.6, 35.64, None, 41911.0, 1496794.0, None, None, None], ['2017-02-03', 36.02, 36.2, 35.73, 36.1, None, 40705.0, 1464712.0, None, None, None], ['2017-02-02', 35.95, 36.2, 35.7, 36.07, None, 54279.0, 1953176.0, None, None, None], ['2017-02-01', 34.75, 36.0, 34.75, 35.94, None, 85137.0, 3038172.0, None, None, None], ['2017-01-31', 35.24, 35.24, 34.56, 34.56, None, 63371.0, 2199583.0, None, None, None], ['2017-01-30', 35.38, 35.59, 34.95, 35.15, None, 69603.0, 2457762.0, None, None, None], ['2017-01-27', 34.83, 35.43, 34.81, 35.3, None, 69657.0, 2444913.0, None, None, None], ['2017-01-26', 35.07, 35.58, 34.8, 34.89, None, 64103.0, 2249375.0, None, None, None], ['2017-01-25', 34.42, 34.86, 34.03, 34.83, None, 56240.0, 1947147.0, None, None, None], ['2017-01-24', 34.0, 34.35, 33.85, 34.22, None, 48797.0, 1666086.0, None, None, None], ['2017-01-23', 34.04, 34.12, 33.62, 34.06, None, 55333.0, 1877957.0, None, None, None], ['2017-01-20', 34.54, 34.59, 34.05, 34.17, None, 80246.0, 2743474.0, None, None, None], ['2017-01-19', 35.04, 35.04, 34.42, 34.5, None, 73105.0, 2526731.0, None, None, None], ['2017-01-18', 35.04, 35.51, 34.8, 34.9, None, 65931.0, 2311608.0, None, None, None], ['2017-01-17', 35.06, 35.19, 34.79, 34.99, None, 39195.0, 1369857.0, None, None, None], ['2017-01-16', 34.85, 35.24, 34.56, 35.07, None, 47879.0, 1678679.0, None, None, None], ['2017-01-13', 34.98, 34.98, 34.6, 34.85, None, 59367.0, 2065534.0, None, None, None], ['2017-01-12', 35.38, 35.38, 34.31, 34.9, None, 163860.0, 5703427.0, None, None, None], ['2017-01-11', 34.95, 36.0, 34.84, 35.42, None, 123530.0, 4369079.0, None, None, None], ['2017-01-10', 34.8, 34.98, 34.46, 34.91, None, 43976.0, 1528055.0, None, None, None], ['2017-01-09', 35.29, 35.35, 34.43, 34.67, None, 62225.0, 2157182.0, None, None, None], ['2017-01-06', 34.91, 35.21, 34.91, 35.04, None, 27507.0, 964046.0, None, None, None], ['2017-01-05', 35.02, 35.2, 34.73, 35.06, None, 48412.0, 1692326.0, None, None, None], ['2017-01-04', 35.48, 35.51, 34.75, 35.19, None, 54408.0, 1906810.0, None, None, None], ['2017-01-03', 35.9, 35.93, 35.34, 35.48, None, 70618.0, 2515473.0, None, None, None], ['2017-01-02', 34.99, 35.94, 34.99, 35.8, None, 44700.0, 1590561.0, None, None, None]], 'collapse': None, 'order': None}\n"
+     ]
+    }
+   ],
+   "source": [
+    "url='https://data.nasdaq.com/api/v3/datasets/FSE/AFX_X/data.json?start_date=2017-01-01&end_date=2017-12-31&api_key=y3n-NqsiVAj2Q4hiYe3F'\n",
+    "r = requests.get(url)\n",
+    "json_data= r.json()\n",
+    "\n",
+    "for k in json_data.keys():\n",
+    "    print(k + ': ', json_data[k])\n",
+    "    \n",
+    "    \n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "None\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(json_data.get('data'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "highest_open_url= 'https://data.nasdaq.com/api/v3/datasets/FSE/AFX_X/data.json?column_index=1&order=desc&start_date=2017-01-01&end_date=2017-12-31&api_key=y3n-NqsiVAj2Q4hiYe3F'\n",
+    "r = requests.get(url)\n",
+    "\n",
+    "for k in json_data.keys():\n",
+    "    print(k + ': ', json_data[k])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "list indices must be integers or slices, not str",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[24], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mjson_data\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdataset_data\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdata\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mOpen\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mmax()\n",
+      "\u001b[1;31mTypeError\u001b[0m: list indices must be integers or slices, not str"
+     ]
+    }
+   ],
+   "source": [
+    "json_data['dataset_data']['data']['Open'].max()"
+   ]
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "7635eb1b9d0fe97add78a7368b6b431c09bb8ad5c42e437d64abdd99821c31ae"
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/meteorites final.ipynb b/meteorites final.ipynb
new file mode 100644
index 00000000..87cd1774
--- /dev/null
+++ b/meteorites final.ipynb	
@@ -0,0 +1,47407 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Note**: This exercise is adapted from the original [here](https://github.com/pandas-profiling/pandas-profiling/blob/master/examples/meteorites/meteorites.ipynb). As of September 2020 if you install [pandas_profiling on conda](https://anaconda.org/conda-forge/pandas-profiling) you might get an old version (1.41) as it seems for this package some channels on conda are a bit older then the latest version on [pypi](https://pypi.org/project/pandas-profiling/) (2.9.0 as of September 2020). To be super clear you can see the exact enviornment and library versions used to run this exercise in the Pipefile (see [pipenv](https://pipenv-fork.readthedocs.io/en/latest/) for more details) of this example [here](https://github.com/andrewm4894/pandas-profiling/blob/master/Pipfile)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Pandas Profiling: NASA Meteorites example\n",
+    "Source of data: https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The autoreload instruction reloads modules automatically before code execution, which is helpful for the update below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Make sure that we have the latest version of pandas-profiling."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Enabling notebook extension jupyter-js-widgets/extension...\n",
+      "      - Validating: ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "# uncomment and run below if you need to pip install the pandas-profiling library\n",
+    "#import sys\n",
+    "#!{sys.executable} -m pip install -U pandas-profiling==2.9.0\n",
+    "!jupyter nbextension enable --py widgetsnbextension"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You might want to restart the kernel now."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Import libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "\n",
+    "import requests\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import ydata_profiling\n",
+    "from ydata_profiling.utils.cache import cache_file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load and prepare example dataset\n",
+    "We add some fake variables for illustrating pandas-profiling capabilities"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\AppData\\Local\\Temp\\ipykernel_12724\\1533660588.py:27: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+      "  df = df.append(duplicates_to_add, ignore_index=True)\n"
+     ]
+    }
+   ],
+   "source": [
+    "file_name = cache_file(\n",
+    "    \"meteorites.csv\",\n",
+    "    \"https://data.nasa.gov/api/views/gh4g-9sfh/rows.csv?accessType=DOWNLOAD\",\n",
+    ")\n",
+    "    \n",
+    "df = pd.read_csv(file_name)\n",
+    "    \n",
+    "# Note: Pandas does not support dates before 1880, so we ignore these for this analysis\n",
+    "df['year'] = pd.to_datetime(df['year'], errors='coerce')\n",
+    "\n",
+    "# Example: Constant variable\n",
+    "df['source'] = \"NASA\"\n",
+    "\n",
+    "# Example: Boolean variable\n",
+    "df['boolean'] = np.random.choice([True, False], df.shape[0])\n",
+    "\n",
+    "# Example: Mixed with base types\n",
+    "df['mixed'] = np.random.choice([1, \"A\"], df.shape[0])\n",
+    "\n",
+    "# Example: Highly correlated variables\n",
+    "df['reclat_city'] = df['reclat'] + np.random.normal(scale=5,size=(len(df)))\n",
+    "\n",
+    "# Example: Duplicate observations\n",
+    "duplicates_to_add = pd.DataFrame(df.iloc[0:10])\n",
+    "duplicates_to_add[u'name'] = duplicates_to_add[u'name'] + \" copy\"\n",
+    "\n",
+    "df = df.append(duplicates_to_add, ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Inline report without saving object"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<iframe width=\"100%\" height=\"800px\" srcdoc=\"&lt;!doctype html&gt;&lt;html lang=en&gt;&lt;head&gt;&lt;meta charset=utf-8&gt;&lt;meta name=viewport content=&quot;width=device-width, initial-scale=1, shrink-to-fit=no&quot;&gt;&lt;meta name=description content=&quot;Profile report generated by YData! Visit us at https://ydata.ai&quot;&gt;&lt;meta name=author content=&quot;YData and the open source community.&quot;&gt;&lt;meta name=generator content=&quot;Pandas Profiling vv4.1.2&quot;&gt;&lt;meta name=url content=https://github.com/ydataai/ydata-profiling&gt;&lt;meta name=date content=&quot;2023-05-15 15:58:14.634108&quot;&gt;&lt;title&gt;Pandas Profiling Report&lt;/title&gt;&lt;style&gt;\n",
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+       " * Bootstrap v3.3.7 (http://getbootstrap.com)\n",
+       " * Copyright 2011-2016 Twitter, Inc.\n",
+       " * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)\n",
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GradientType=0);background-repeat:repeat-x}.progress-bar-striped{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.list-group{border-radius:4px;-webkit-box-shadow:0 1px 2px rgba(0,0,0,.075);box-shadow:0 1px 2px rgba(0,0,0,.075)}.list-group-item.active,.list-group-item.active:focus,.list-group-item.active:hover{text-shadow:0 -1px 0 #286090;background-image:-webkit-linear-gradient(top,#337ab7 0,#2b669a 100%);background-image:-o-linear-gradient(top,#337ab7 0,#2b669a 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#337ab7),to(#2b669a));background-image:linear-gradient(to bottom,#337ab7 0,#2b669a 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff337ab7&#x27;, endColorstr=&#x27;#ff2b669a&#x27;, GradientType=0);background-repeat:repeat-x;border-color:#2b669a}.list-group-item.active .badge,.list-group-item.active:focus .badge,.list-group-item.active:hover .badge{text-shadow:none}.panel{-webkit-box-shadow:0 1px 2px rgba(0,0,0,.05);box-shadow:0 1px 2px rgba(0,0,0,.05)}.panel-default&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#f5f5f5 0,#e8e8e8 100%);background-image:-o-linear-gradient(top,#f5f5f5 0,#e8e8e8 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#f5f5f5),to(#e8e8e8));background-image:linear-gradient(to bottom,#f5f5f5 0,#e8e8e8 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fff5f5f5&#x27;, endColorstr=&#x27;#ffe8e8e8&#x27;, GradientType=0);background-repeat:repeat-x}.panel-primary&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-o-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#337ab7),to(#2e6da4));background-image:linear-gradient(to bottom,#337ab7 0,#2e6da4 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff337ab7&#x27;, endColorstr=&#x27;#ff2e6da4&#x27;, GradientType=0);background-repeat:repeat-x}.panel-success&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#dff0d8 0,#d0e9c6 100%);background-image:-o-linear-gradient(top,#dff0d8 0,#d0e9c6 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#dff0d8),to(#d0e9c6));background-image:linear-gradient(to bottom,#dff0d8 0,#d0e9c6 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffdff0d8&#x27;, endColorstr=&#x27;#ffd0e9c6&#x27;, GradientType=0);background-repeat:repeat-x}.panel-info&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#d9edf7 0,#c4e3f3 100%);background-image:-o-linear-gradient(top,#d9edf7 0,#c4e3f3 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#d9edf7),to(#c4e3f3));background-image:linear-gradient(to bottom,#d9edf7 0,#c4e3f3 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffd9edf7&#x27;, endColorstr=&#x27;#ffc4e3f3&#x27;, GradientType=0);background-repeat:repeat-x}.panel-warning&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#fcf8e3 0,#faf2cc 100%);background-image:-o-linear-gradient(top,#fcf8e3 0,#faf2cc 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#fcf8e3),to(#faf2cc));background-image:linear-gradient(to bottom,#fcf8e3 0,#faf2cc 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fffcf8e3&#x27;, endColorstr=&#x27;#fffaf2cc&#x27;, GradientType=0);background-repeat:repeat-x}.panel-danger&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#f2dede 0,#ebcccc 100%);background-image:-o-linear-gradient(top,#f2dede 0,#ebcccc 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#f2dede),to(#ebcccc));background-image:linear-gradient(to bottom,#f2dede 0,#ebcccc 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fff2dede&#x27;, endColorstr=&#x27;#ffebcccc&#x27;, GradientType=0);background-repeat:repeat-x}.well{background-image:-webkit-linear-gradient(top,#e8e8e8 0,#f5f5f5 100%);background-image:-o-linear-gradient(top,#e8e8e8 0,#f5f5f5 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#e8e8e8),to(#f5f5f5));background-image:linear-gradient(to bottom,#e8e8e8 0,#f5f5f5 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffe8e8e8&#x27;, endColorstr=&#x27;#fff5f5f5&#x27;, GradientType=0);background-repeat:repeat-x;border-color:#dcdcdc;-webkit-box-shadow:inset 0 1px 3px rgba(0,0,0,.05),0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 3px rgba(0,0,0,.05),0 1px 0 rgba(255,255,255,.1)}\n",
+       "/*# sourceMappingURL=bootstrap-theme.min.css.map */        &lt;/style&gt;&lt;style&gt;body {\n",
+       "  padding-top: 80px;\n",
+       "}\n",
+       ".content .container-fluid{\n",
+       "    margin-left: 20px !important;\n",
+       "    margin-right: 20px !important;\n",
+       "    margin-bottom: 20px;\n",
+       "}\n",
+       "\n",
+       ".page-header{\n",
+       "    border:0 !important;\n",
+       "}\n",
+       "\n",
+       ".row.variable, .section-items &gt; .row {\n",
+       "    border: 1px solid #e1e1e8;\n",
+       "    border-top: hidden;\n",
+       "}\n",
+       "\n",
+       ".row.spacing {\n",
+       "    padding: 2em 1em;\n",
+       "}\n",
+       "\n",
+       ".row.header {\n",
+       "    border-bottom: 1px solid #e1e1e8;\n",
+       "    /*background-color: #f5f5f5;*/\n",
+       "    padding-left: 2em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       ".dl-horizontal dt {\n",
+       "    text-align: left;\n",
+       "    padding-right: 1em;\n",
+       "    white-space: normal;\n",
+       "}\n",
+       "\n",
+       ".dl-horizontal dd {\n",
+       "    margin-left: 0;\n",
+       "}\n",
+       "\n",
+       ".col-md-12 {\n",
+       "    padding-left: 2em;\n",
+       "}\n",
+       "\n",
+       ".indent {\n",
+       "    margin-left: 1em;\n",
+       "}\n",
+       "\n",
+       ".center-img {\n",
+       "    margin-left: auto !important;\n",
+       "    margin-right: auto !important;\n",
+       "    display: block;\n",
+       "}\n",
+       "\n",
+       "/* Table example_values */\n",
+       "table.example_values {\n",
+       "    border: 0;\n",
+       "}\n",
+       "\n",
+       ".example_values th {\n",
+       "    border: 0;\n",
+       "    padding: 0;\n",
+       "    color: #555;\n",
+       "    font-weight: 600;\n",
+       "}\n",
+       "\n",
+       ".example_values tr, .example_values td {\n",
+       "    border: 0;\n",
+       "    padding: 0;\n",
+       "    color: #555;\n",
+       "}\n",
+       "\n",
+       "table.correlation-table {\n",
+       "    width: 98%  /* To avoid an unnecessary overflow. */\n",
+       "}\n",
+       "\n",
+       "/* STATS */\n",
+       "table.stats, table.sample, table.duplicate, table.correlation-table{\n",
+       "    border: 0;\n",
+       "}\n",
+       "\n",
+       ".stats tr, .sample tr, .duplicate tr, .correlation-table tr {\n",
+       "    border: 0;\n",
+       "}\n",
+       "\n",
+       ".stats th, .stats td{\n",
+       "    color: #555;\n",
+       "    border: 0;\n",
+       "}\n",
+       "\n",
+       ".stats th {\n",
+       "    padding: 0 2em 0 0;\n",
+       "    font-weight: 600;\n",
+       "}\n",
+       "\n",
+       ".stats td {\n",
+       "    padding: 1px;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Sample table */\n",
+       "table.sample, table.duplicate, table.correlation-table {\n",
+       "    margin-bottom: 2em;\n",
+       "    margin-left: 1em;\n",
+       "}\n",
+       "\n",
+       ".sample td, .sample th, .duplicate td, .duplicate th, .correlation-table td, .correlation-table th {\n",
+       "    padding: 0.5em;\n",
+       "    white-space: nowrap;\n",
+       "    border: 0;\n",
+       "\n",
+       "}\n",
+       "\n",
+       ".sample thead, .duplicate thead, .correlation-table thead {\n",
+       "    border-top: 0;\n",
+       "    border-bottom: 2px solid #ddd;\n",
+       "}\n",
+       "\n",
+       ".sample td, .duplicate td {\n",
+       "    width: 100%;\n",
+       "} \n",
+       "\n",
+       "/* There is no good solution available to make the divs equal height and then center ... */\n",
+       ".histogram {\n",
+       "    margin-top: 3em;\n",
+       "}\n",
+       "\n",
+       "/* Freq table */\n",
+       "table.freq {\n",
+       "    margin-bottom: 2em;\n",
+       "    border: 0;\n",
+       "}\n",
+       "\n",
+       "table.freq th, table.freq tr, table.freq td {\n",
+       "    border: 0;\n",
+       "    padding: 0;\n",
+       "}\n",
+       "\n",
+       ".freq thead {\n",
+       "    font-weight: 600;\n",
+       "    white-space: nowrap;\n",
+       "    overflow: hidden;\n",
+       "    text-overflow: ellipsis;\n",
+       "\n",
+       "}\n",
+       "\n",
+       "/* Freq mini */\n",
+       ".freq.mini td {\n",
+       "    width: 50%;\n",
+       "    padding: 1px;\n",
+       "    font-size: 12px;\n",
+       "\n",
+       "}\n",
+       "\n",
+       "table.freq.mini {\n",
+       "    width: 100%;\n",
+       "}\n",
+       "\n",
+       ".freq.mini th {\n",
+       "    overflow: hidden;\n",
+       "    text-overflow: ellipsis;\n",
+       "    white-space: nowrap;\n",
+       "    max-width: 5em;\n",
+       "    font-weight: 400;\n",
+       "    text-align: right;\n",
+       "    padding-right: 0.5em;\n",
+       "}\n",
+       "\n",
+       "/* Message classes */\n",
+       ".missing {\n",
+       "    color: #a94442;\n",
+       "}\n",
+       "\n",
+       ".alert, .alert &gt; th, .alert &gt; td {\n",
+       "    color: #a94442;\n",
+       "}\n",
+       "\n",
+       ".ignore {\n",
+       "    opacity: 0.4;\n",
+       "}\n",
+       "\n",
+       "/* Bars in tables */\n",
+       ".freq.table{\n",
+       "    table-layout: fixed;\n",
+       "}\n",
+       "\n",
+       ".freq:not(.mini) tr td:nth-child(1), .freq:not(.mini) tr th:nth-child(1){\n",
+       "    width: auto;\n",
+       "    max-width: none;\n",
+       "\n",
+       "    white-space: nowrap;\n",
+       "    overflow: hidden;\n",
+       "    text-overflow: ellipsis;\n",
+       "}\n",
+       "\n",
+       ".freq:not(.mini) tr td:nth-child(2), .freq:not(.mini) tr td:nth-child(3), .freq:not(.mini) tr th:nth-child(2), .freq:not(.mini) tr th:nth-child(3){\n",
+       "    width: 100px;\n",
+       "    text-align: right;\n",
+       "}\n",
+       ".freq:not(.mini) tr td:nth-child(4), .freq:not(.mini) tr th:nth-child(4){\n",
+       "    width:200px;\n",
+       "}\n",
+       "\n",
+       ".freq .bar {\n",
+       "    float: left;\n",
+       "    width: 0;\n",
+       "    height: 100%;\n",
+       "    line-height: 20px;\n",
+       "    color: #fff;\n",
+       "    text-align: center;\n",
+       "    border-radius: 3px;\n",
+       "    margin-right: 4px;\n",
+       "}\n",
+       "\n",
+       ".other .bar {\n",
+       "    background-color: #999;\n",
+       "}\n",
+       "\n",
+       ".missing .bar {\n",
+       "    background-color: #a94442;\n",
+       "}\n",
+       "\n",
+       ".tooltip-inner {\n",
+       "    width: 100%;\n",
+       "    white-space: nowrap;\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".extrapadding {\n",
+       "    padding: 2em;\n",
+       "}\n",
+       "\n",
+       ".variable .h4 {\n",
+       "    text-overflow: ellipsis;\n",
+       "    display:inline-block;\n",
+       "    width: calc(90%); /* The trick is here! */\n",
+       "    overflow:hidden;\n",
+       "}\n",
+       "\n",
+       ".variable.ignore .h4{\n",
+       "    text-decoration: line-through;\n",
+       "}\n",
+       "\n",
+       ".table-responsive{\n",
+       "    overflow: scroll;\n",
+       "    width: 100%;\n",
+       "    overflow-y: hidden;\n",
+       "}\n",
+       ".img-responsive{\n",
+       "    max-width: 99%;\n",
+       "    min-width: 99%;\n",
+       "}\n",
+       ".footer-text{\n",
+       "    padding:20px;\n",
+       "}\n",
+       "\n",
+       "table.list-warnings td{\n",
+       "    padding-right:10px;\n",
+       "}\n",
+       "\n",
+       "a.anchor-pos {\n",
+       "    display: block;\n",
+       "    position: relative;\n",
+       "    top: -70px;\n",
+       "    visibility: hidden;\n",
+       "}\n",
+       "\n",
+       "a.anchor-pos-variable{\n",
+       "    /*top: -70px;*/\n",
+       "}\n",
+       "\n",
+       "#sample-container, #duplicate-container {\n",
+       "    overflow: auto;\n",
+       "    width: 100%;\n",
+       "    overflow-y: hidden;\n",
+       "}\n",
+       "\n",
+       "#correlation-table-container {\n",
+       "    max-height: 400px;\n",
+       "    overflow: auto;\n",
+       "}\n",
+       "\n",
+       "#overview-content td, #overview-content th{\n",
+       "    border-top: 0;\n",
+       "    line-height: 1;\n",
+       "}\n",
+       "\n",
+       ".variable-description{\n",
+       "    color: #777;\n",
+       "    font-size: 10pt;\n",
+       "    margin-top: 10px;\n",
+       "    font-style: italic;\n",
+       "}\n",
+       "\n",
+       "select.multiple{\n",
+       "    width: 180px;\n",
+       "    height: 500px;\n",
+       "    margin: 10px 0;\n",
+       "}\n",
+       "\n",
+       ".named-list-item{\n",
+       "    padding: 1em;\n",
+       "}\n",
+       "\n",
+       "/* not printing tabs */\n",
+       "@media print {\n",
+       "    .tab-content &gt; .tab-pane, .collapse {\n",
+       "        display: block !important;\n",
+       "        opacity: 1 !important;\n",
+       "        visibility: visible !important;\n",
+       "        /*page-break-after: always;*/\n",
+       "        page-break-after: right;\n",
+       "        page-break-before: avoid;\n",
+       "    }\n",
+       "\n",
+       "    .nav-pills, .nav-tabs, button[data-toggle=&quot;collapse&quot;], .mini, .col-sm-3 img {\n",
+       "        display:none !important;\n",
+       "    }\n",
+       "\n",
+       "    a[download=&quot;config.yml&quot;]:after {\n",
+       "        content: none !important;\n",
+       "    }\n",
+       "\n",
+       "    .row {\n",
+       "        border: 0 !important;\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       ".text-placeholder {\n",
+       "    display: inline-block;\n",
+       "    background-color: #444;\n",
+       "    height: 12px;\n",
+       "    border-radius: 100px;\n",
+       "    margin: 5px 0;\n",
+       "    min-width: 200px;\n",
+       "    opacity: .1;\n",
+       "}\n",
+       "\n",
+       "    .freq.table-0 .bar {\n",
+       "        background-color: #377eb8;\n",
+       "    }\n",
+       "    .freq.table-1 .bar {\n",
+       "        background-color: #e41a1c;\n",
+       "    }\n",
+       "&lt;/style&gt;&lt;/head&gt;&lt;body&gt;&lt;a class=anchor-pos id=top&gt;&lt;/a&gt;&lt;nav class=&quot;navbar navbar-default navbar-fixed-top&quot;&gt;&lt;div class=container-fluid&gt;&lt;div class=navbar-header&gt;&lt;button type=button class=&quot;navbar-toggle collapsed&quot; data-toggle=collapse data-target=#navbar aria-expanded=false aria-controls=navbar&gt;&lt;span class=sr-only&gt;Toggle navigation&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;/button&gt;&lt;a class=&quot;navbar-brand anchor&quot; href=#top&gt;Pandas Profiling Report&lt;/a&gt;&lt;/div&gt;&lt;div id=navbar class=&quot;navbar-collapse collapse&quot;&gt;&lt;ul class=&quot;nav navbar-nav navbar-right&quot;&gt;&lt;li&gt;&lt;a href=#overview&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=#variables-dropdown&gt;Variables&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=#interactions&gt;Interactions&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=#correlations_tab&gt;Correlations&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=#missing&gt;Missing values&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=#sample&gt;Sample&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&lt;/nav&gt;&lt;div class=content&gt;&lt;div class=container&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=overview&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Overview&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-pills&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#overview-dataset_overview aria-controls=overview-dataset_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-alerts aria-controls=overview-alerts role=tab data-toggle=tab&gt;Alerts &lt;span class=badge&gt;18&lt;/span&gt;&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-reproduction aria-controls=overview-reproduction role=tab data-toggle=tab&gt;Reproduction&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content style=&quot;padding-top: 10px;&quot;&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=overview-dataset_overview&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Dataset statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Number of variables&lt;/th&gt;&lt;td&gt;14&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Number of observations&lt;/th&gt;&lt;td&gt;45726&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells&lt;/th&gt;&lt;td&gt;29682&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells (%)&lt;/th&gt;&lt;td&gt;4.6%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Total size in memory&lt;/th&gt;&lt;td&gt;4.6 MiB&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Average record size in memory&lt;/th&gt;&lt;td&gt;105.0 B&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Variable types&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Boolean&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Categorical&lt;/th&gt;&lt;td&gt;7&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Numeric&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;DateTime&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-alerts&gt;&lt;div class=col-sm-12&gt;&lt;table class=&quot;table table-condensed list-warnings&quot;&gt;&lt;p class=h4&gt;Alerts&lt;/p&gt;&lt;tr style=border-top:0&gt;&lt;td&gt;&lt;a href=#pp_var_5931471079661960421&gt;&lt;code&gt;source&lt;/code&gt;&lt;/a&gt; has constant value &quot;&quot;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-warning&quot;&gt;Constant&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-335464110397029520&gt;&lt;code&gt;GeoLocation&lt;/code&gt;&lt;/a&gt; has a high cardinality: 17100 distinct values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;High cardinality&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-2651934784186517540&gt;&lt;code&gt;name&lt;/code&gt;&lt;/a&gt; has a high cardinality: 45726 distinct values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;High cardinality&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-2148494336273378825&gt;&lt;code&gt;recclass&lt;/code&gt;&lt;/a&gt; has a high cardinality: 466 distinct values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;High cardinality&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_4776885090936946952&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; is highly overall correlated with &lt;code&gt;reclat_city&lt;/code&gt; and &lt;abbr title=&quot;reclat_city, reclong&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-4402894416497577258&gt;&lt;code&gt;reclat_city&lt;/code&gt;&lt;/a&gt; is highly overall correlated with &lt;code&gt;reclat&lt;/code&gt; and &lt;abbr title=&quot;reclat, reclong&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_9210089399670562856&gt;&lt;code&gt;reclong&lt;/code&gt;&lt;/a&gt; is highly overall correlated with &lt;code&gt;reclat&lt;/code&gt; and &lt;abbr title=&quot;reclat, reclat_city&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-2849051420897920782&gt;&lt;code&gt;fall&lt;/code&gt;&lt;/a&gt; is highly imbalanced (83.4%)&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Imbalance&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-8148293373365161854&gt;&lt;code&gt;nametype&lt;/code&gt;&lt;/a&gt; is highly imbalanced (98.2%)&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Imbalance&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-335464110397029520&gt;&lt;code&gt;GeoLocation&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_4776885090936946952&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-4402894416497577258&gt;&lt;code&gt;reclat_city&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_9210089399670562856&gt;&lt;code&gt;reclong&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_8169294430124068851&gt;&lt;code&gt;mass (g)&lt;/code&gt;&lt;/a&gt; is highly skewed (γ1 = 76.91847245)&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Skewed&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-2651934784186517540&gt;&lt;code&gt;name&lt;/code&gt;&lt;/a&gt; is uniformly distributed&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Uniform&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-2651934784186517540&gt;&lt;code&gt;name&lt;/code&gt;&lt;/a&gt; has unique values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Unique&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_4776885090936946952&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; has 6438 (14.1%) zeros&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Zeros&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_9210089399670562856&gt;&lt;code&gt;reclong&lt;/code&gt;&lt;/a&gt; has 6214 (13.6%) zeros&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Zeros&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-reproduction&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4&gt;Reproduction&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Analysis started&lt;/th&gt;&lt;td&gt;2023-05-15 15:58:14.634108&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Analysis finished&lt;/th&gt;&lt;td&gt;2023-05-15 15:58:21.632612&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duration&lt;/th&gt;&lt;td&gt;7 seconds&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Software version&lt;/th&gt;&lt;td&gt;&lt;a href=https://github.com/ydataai/ydata-profiling&gt;ydata-profiling vv4.1.2&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Download configuration&lt;/th&gt;&lt;td&gt;&lt;a download=config.json 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0%22100%25%22%2C%20%22attribute%22%3A%20%22srcdoc%22%7D%7D%7D&quot;&gt;config.json&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=variables-dropdown&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Variables&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;select name=Variables id=variables-dropdown class=dropdown-toggle&gt;&lt;option value&gt;Select Columns&lt;/option&gt;&lt;option value=boolean&gt;boolean&lt;/option&gt;&lt;option value=fall&gt;fall&lt;/option&gt;&lt;option value=GeoLocation&gt;GeoLocation&lt;/option&gt;&lt;option value=id&gt;id&lt;/option&gt;&lt;option value=&quot;mass (g)&quot;&gt;mass (g)&lt;/option&gt;&lt;option value=mixed&gt;mixed&lt;/option&gt;&lt;option value=name&gt;name&lt;/option&gt;&lt;option value=nametype&gt;nametype&lt;/option&gt;&lt;option value=recclass&gt;recclass&lt;/option&gt;&lt;option value=reclat&gt;reclat&lt;/option&gt;&lt;option value=reclat_city&gt;reclat_city&lt;/option&gt;&lt;option value=reclong&gt;reclong&lt;/option&gt;&lt;option value=source&gt;source&lt;/option&gt;&lt;option value=year&gt;year&lt;/option&gt;&lt;/select&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_5813632293024199345&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=boolean&gt;&lt;a href=#pp_var_5813632293024199345&gt;boolean&lt;/a&gt;&lt;br&gt;&lt;small&gt;Boolean&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;44.8 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; False &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 22958&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; True &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:99.2% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 22768&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-5813632293024199345, #minifreqtable5813632293024199345&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div 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id=-2849051420897920782bottom--2849051420897920782overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;4.9755719&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;227513&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;7&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode categories (click for more information)&quot; 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fell &lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt; &amp;nbsp; &lt;/div&gt; 2.4% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2849051420897920782bottom--2849051420897920782characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2849051420897920782unicode--2849051420897920782characters aria-controls=-2849051420897920782unicode--2849051420897920782characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2849051420897920782unicode--2849051420897920782categories aria-controls=-2849051420897920782unicode--2849051420897920782categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2849051420897920782unicode--2849051420897920782scripts aria-controls=-2849051420897920782unicode--2849051420897920782scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2849051420897920782unicode--2849051420897920782blocks aria-controls=-2849051420897920782unicode--2849051420897920782blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2849051420897920782unicode--2849051420897920782characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=F&gt; F &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt; u &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2849051420897920782unicode--2849051420897920782categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt; Lowercase Letter &lt;/td&gt;&lt;td&gt;181787&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 79.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt; Uppercase Letter &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.2%&gt; &amp;nbsp; &lt;/div&gt; 20.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Lowercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 24.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt; u &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 24.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 24.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 24.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.0%&gt; &amp;nbsp; &lt;/div&gt; 1.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Uppercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=F&gt; F &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2849051420897920782unicode--2849051420897920782scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt; Latin &lt;/td&gt;&lt;td&gt;227513&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Latin&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=F&gt; F &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt; u &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2849051420897920782unicode--2849051420897920782blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt; ASCII &lt;/td&gt;&lt;td&gt;227513&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=F&gt; F &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt; u &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-335464110397029520&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=GeoLocation&gt;&lt;a href=#pp_var_-335464110397029520&gt;GeoLocation&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p&gt;&lt;code&gt;HIGH CARDINALITY&lt;/code&gt;&amp;nbsp &lt;code&gt;MISSING&lt;/code&gt;&amp;nbsp &lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;17100&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;44.5%&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;7315&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; (0.0, 0.0) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:27.9% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 6214&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; (-71.5, 35.66667) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:21.4% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 4761&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; (-84.0, 168.0) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:13.7% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 3040&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; (-72.0, 26.0) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:6.8% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1505 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; (-79.68333, 159.75) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:3.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 657 &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;th width=10%&gt; Other values (17095) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 22234&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--335464110397029520, #minifreqtable-335464110397029520&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--335464110397029520 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-335464110397029520bottom--335464110397029520overview aria-controls=-335464110397029520bottom--335464110397029520overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520bottom--335464110397029520string aria-controls=-335464110397029520bottom--335464110397029520string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520bottom--335464110397029520word aria-controls=-335464110397029520bottom--335464110397029520word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520bottom--335464110397029520characters aria-controls=-335464110397029520bottom--335464110397029520characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-335464110397029520bottom--335464110397029520overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;24&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;22&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;17.304809&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;10&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;664695&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;16&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;6 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;16363 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;42.6%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;(50.775, 6.08333)&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;(56.18333, 10.23333)&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;(54.21667, -113.0)&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;(16.88333, -99.9)&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;(-33.16667, -64.95)&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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(-72.0, 26.0) &lt;/td&gt;&lt;td&gt;1505&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.5%&gt; &amp;nbsp; &lt;/div&gt; 3.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-79.68333, 159.75)&quot;&gt; (-79.68333, 159.75) &lt;/td&gt;&lt;td&gt;657&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.3%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-76.71667, 159.66667)&quot;&gt; (-76.71667, 159.66667) &lt;/td&gt;&lt;td&gt;637&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-76.18333, 157.16667)&quot;&gt; (-76.18333, 157.16667) &lt;/td&gt;&lt;td&gt;539&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.7%&gt; &amp;nbsp; &lt;/div&gt; 1.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-79.68333, 155.75)&quot;&gt; (-79.68333, 155.75) &lt;/td&gt;&lt;td&gt;473&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-84.21667, 160.5)&quot;&gt; (-84.21667, 160.5) &lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-86.36667, -70.0)&quot;&gt; (-86.36667, -70.0) &lt;/td&gt;&lt;td&gt;226&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.1%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (17090)&quot;&gt; Other values (17090) &lt;/td&gt;&lt;td&gt;20096&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 43.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt; (Missing) &lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:36.4%&gt; &amp;nbsp; &lt;/div&gt; 16.0% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h4 class=indent&gt;Length&lt;/h4&gt;&lt;?xml version=&quot;1.0&quot; 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+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p926e9bce66&gt;&lt;rect x=57.7 y=13.48298 width=435.5 height=166.198072 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; Histogram of lengths of the category &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-335464110397029520bottom--335464110397029520word&gt;&lt;div class=col-sm-12&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0.0&gt; 0.0 &lt;/td&gt;&lt;td&gt;12652&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:29.5%&gt; &amp;nbsp; &lt;/div&gt; 16.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=35.66667&gt; 35.66667 &lt;/td&gt;&lt;td&gt;4991&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.6%&gt; &amp;nbsp; &lt;/div&gt; 6.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=71.5&gt; 71.5 &lt;/td&gt;&lt;td&gt;4761&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.1%&gt; &amp;nbsp; &lt;/div&gt; 6.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=84.0&gt; 84.0 &lt;/td&gt;&lt;td&gt;3041&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.1%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=168.0&gt; 168.0 &lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.1%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26.0&gt; 26.0 &lt;/td&gt;&lt;td&gt;1512&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt; &amp;nbsp; &lt;/div&gt; 2.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=72.0&gt; 72.0 &lt;/td&gt;&lt;td&gt;1506&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt; &amp;nbsp; &lt;/div&gt; 2.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=79.68333&gt; 79.68333 &lt;/td&gt;&lt;td&gt;1130&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.6%&gt; &amp;nbsp; &lt;/div&gt; 1.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=76.71667&gt; 76.71667 &lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.6%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.75&gt; 159.75 &lt;/td&gt;&lt;td&gt;657&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.5%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (26608)&quot;&gt; Other values (26608) &lt;/td&gt;&lt;td&gt;42852&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 55.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-335464110397029520bottom--335464110397029520characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-335464110397029520unicode--335464110397029520characters aria-controls=-335464110397029520unicode--335464110397029520characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520unicode--335464110397029520categories aria-controls=-335464110397029520unicode--335464110397029520categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520unicode--335464110397029520scripts aria-controls=-335464110397029520unicode--335464110397029520scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520unicode--335464110397029520blocks aria-controls=-335464110397029520unicode--335464110397029520blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-335464110397029520unicode--335464110397029520characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.8%&gt; 11.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.4%&gt; &amp;nbsp; &lt;/div&gt; 10.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.6%&gt; &amp;nbsp; &lt;/div&gt; 7.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.6%&gt; &amp;nbsp; &lt;/div&gt; 7.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.1%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.9%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.9%&gt; &amp;nbsp; &lt;/div&gt; 6.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (6)&quot;&gt; Other values (6) &lt;/td&gt;&lt;td&gt;171544&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-335464110397029520unicode--335464110397029520categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt; Decimal Number &lt;/td&gt;&lt;td&gt;406756&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 61.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Other Punctuation&quot;&gt; Other Punctuation &lt;/td&gt;&lt;td&gt;115233&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.3%&gt; &amp;nbsp; &lt;/div&gt; 17.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Open Punctuation&quot;&gt; Open Punctuation &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Space Separator&quot;&gt; Space Separator &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Close Punctuation&quot;&gt; Close Punctuation &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Dash Punctuation&quot;&gt; Dash Punctuation &lt;/td&gt;&lt;td&gt;27473&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.8%&gt; &amp;nbsp; &lt;/div&gt; 4.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 16.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:77.7%&gt; 12.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:72.6%&gt; 12.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:66.3%&gt; 11.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:65.8%&gt; 10.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:63.3%&gt; 10.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt; 8 &lt;/td&gt;&lt;td&gt;32680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:48.4%&gt; 8.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;29923&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.3%&gt; 7.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;23646&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:35.0%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt; 9 &lt;/td&gt;&lt;td&gt;19411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.7%&gt; &amp;nbsp; &lt;/div&gt; 4.8% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Other Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 66.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 33.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Open Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Space Separator&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Close Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=)&gt; ) &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Dash Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-&gt; - &lt;/td&gt;&lt;td&gt;27473&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-335464110397029520unicode--335464110397029520scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt; Common &lt;/td&gt;&lt;td&gt;664695&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.8%&gt; 11.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.4%&gt; &amp;nbsp; &lt;/div&gt; 10.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.6%&gt; &amp;nbsp; &lt;/div&gt; 7.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.6%&gt; &amp;nbsp; &lt;/div&gt; 7.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.1%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.9%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.9%&gt; &amp;nbsp; &lt;/div&gt; 6.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (6)&quot;&gt; Other values (6) &lt;/td&gt;&lt;td&gt;171544&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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+       "L 481.848553 167.844084 \n",
+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;g id=patch_56&gt;&lt;path d=&quot;M 57.7 13.726957 \n",
+       "L 481.848553 13.726957 \n",
+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pe1ec1927bf&gt;&lt;rect x=57.7 y=13.726957 width=424.148553 height=154.117128 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=50) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-977325935089044966bottom--977325935089044966common_values&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=10&gt; 10 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=370&gt; 370 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=379&gt; 379 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=390&gt; 390 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=392&gt; 392 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=398&gt; 398 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=417&gt; 417 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (45706)&quot;&gt; Other values (45706) &lt;/td&gt;&lt;td&gt;45706&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; &gt; 99.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-977325935089044966bottom--977325935089044966extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-977325935089044966extreme_values--977325935089044966firstn aria-controls=-977325935089044966extreme_values--977325935089044966firstn role=tab data-toggle=tab&gt;Minimum 10 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-977325935089044966extreme_values--977325935089044966lastn aria-controls=-977325935089044966extreme_values--977325935089044966lastn role=tab data-toggle=tab&gt;Maximum 10 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-977325935089044966extreme_values--977325935089044966firstn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt; 8 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt; 9 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=10&gt; 10 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=11&gt; 11 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-977325935089044966extreme_values--977325935089044966lastn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=57458&gt; 57458 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57457&gt; 57457 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57456&gt; 57456 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57455&gt; 57455 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57454&gt; 57454 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57453&gt; 57453 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57436&gt; 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+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p997d38ab74&gt;&lt;rect x=63.28 y=10.8 width=429.92 height=159.746708 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=50) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8169294430124068851bottom-8169294430124068851common_values&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1.3&gt; 1.3 &lt;/td&gt;&lt;td&gt;171&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt; &amp;nbsp; &lt;/div&gt; 0.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.2&gt; 1.2 &lt;/td&gt;&lt;td&gt;140&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.4&gt; 1.4 &lt;/td&gt;&lt;td&gt;138&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.1&gt; 2.1 &lt;/td&gt;&lt;td&gt;130&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.4&gt; 2.4 &lt;/td&gt;&lt;td&gt;126&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.6&gt; 1.6 &lt;/td&gt;&lt;td&gt;120&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.5&gt; 0.5 &lt;/td&gt;&lt;td&gt;119&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.1&gt; 1.1 &lt;/td&gt;&lt;td&gt;116&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.8&gt; 3.8 &lt;/td&gt;&lt;td&gt;114&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.5&gt; 1.5 &lt;/td&gt;&lt;td&gt;111&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (12566)&quot;&gt; Other values (12566) &lt;/td&gt;&lt;td&gt;44310&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 96.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt; (Missing) &lt;/td&gt;&lt;td&gt;131&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8169294430124068851bottom-8169294430124068851extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#8169294430124068851extreme_values-8169294430124068851firstn aria-controls=8169294430124068851extreme_values-8169294430124068851firstn role=tab data-toggle=tab&gt;Minimum 10 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8169294430124068851extreme_values-8169294430124068851lastn aria-controls=8169294430124068851extreme_values-8169294430124068851lastn role=tab data-toggle=tab&gt;Maximum 10 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=8169294430124068851extreme_values-8169294430124068851firstn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;19&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.01&gt; 0.01 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.013&gt; 0.013 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.02&gt; 0.02 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.03&gt; 0.03 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.04&gt; 0.04 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.05&gt; 0.05 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.06&gt; 0.06 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.07&gt; 0.07 &lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.8%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.08&gt; 0.08 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8169294430124068851extreme_values-8169294430124068851lastn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=60000000&gt; 60000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=58200000&gt; 58200000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=50000000&gt; 50000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=30000000&gt; 30000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=28000000&gt; 28000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26000000&gt; 26000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=24300000&gt; 24300000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=24000000&gt; 24000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=23000000&gt; 23000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=22000000&gt; 22000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-7634633449608846309&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=mixed&gt;&lt;a href=#pp_var_-7634633449608846309&gt;mixed&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; A &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 22970&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; 1 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:99.1% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 22756&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--7634633449608846309, #minifreqtable-7634633449608846309&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--7634633449608846309 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-7634633449608846309bottom--7634633449608846309overview aria-controls=-7634633449608846309bottom--7634633449608846309overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7634633449608846309bottom--7634633449608846309string aria-controls=-7634633449608846309bottom--7634633449608846309string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7634633449608846309bottom--7634633449608846309word aria-controls=-7634633449608846309bottom--7634633449608846309word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7634633449608846309bottom--7634633449608846309characters aria-controls=-7634633449608846309bottom--7634633449608846309characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-7634633449608846309bottom--7634633449608846309overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;45726&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;A&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;A&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;A&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7634633449608846309bottom--7634633449608846309string&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h4 class=indent&gt;Common Values&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;22970&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 50.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;22756&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.1%&gt; 49.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h4 class=indent&gt;Length&lt;/h4&gt;&lt;?xml version=&quot;1.0&quot; encoding=&quot;utf-8&quot; standalone=&quot;no&quot;?&gt;&lt;!DOCTYPE svg class=&quot;img-responsive center-img&quot;PUBLIC &quot;-//W3C//DTD SVG 1.1//EN&quot;\n",
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id=-7634633449608846309bottom--7634633449608846309characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-7634633449608846309unicode--7634633449608846309characters aria-controls=-7634633449608846309unicode--7634633449608846309characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7634633449608846309unicode--7634633449608846309categories aria-controls=-7634633449608846309unicode--7634633449608846309categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7634633449608846309unicode--7634633449608846309scripts aria-controls=-7634633449608846309unicode--7634633449608846309scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7634633449608846309unicode--7634633449608846309blocks aria-controls=-7634633449608846309unicode--7634633449608846309blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-7634633449608846309unicode--7634633449608846309characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;22970&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 50.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;22756&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.1%&gt; 49.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7634633449608846309unicode--7634633449608846309categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt; Uppercase Letter &lt;/td&gt;&lt;td&gt;22970&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 50.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt; Decimal Number &lt;/td&gt;&lt;td&gt;22756&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.1%&gt; 49.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Uppercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;22970&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;22756&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7634633449608846309unicode--7634633449608846309scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt; Latin &lt;/td&gt;&lt;td&gt;22970&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 50.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Common&gt; Common &lt;/td&gt;&lt;td&gt;22756&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.1%&gt; 49.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Latin&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;22970&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;22756&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7634633449608846309unicode--7634633449608846309blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt; ASCII &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;22970&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 50.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;22756&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.1%&gt; 49.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-2651934784186517540&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=name&gt;&lt;a href=#pp_var_-2651934784186517540&gt;name&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p&gt;&lt;code&gt;HIGH CARDINALITY&lt;/code&gt;&amp;nbsp &lt;code&gt;UNIFORM&lt;/code&gt;&amp;nbsp &lt;code&gt;UNIQUE&lt;/code&gt;&amp;nbsp &lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;45726&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; Aachen &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Northwest Africa 7477 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Northwest Africa 7414 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Northwest Africa 742 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Northwest Africa 7428 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;th width=10%&gt; Other values (45721) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 45721&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--2651934784186517540, #minifreqtable-2651934784186517540&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--2651934784186517540 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2651934784186517540bottom--2651934784186517540overview aria-controls=-2651934784186517540bottom--2651934784186517540overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540bottom--2651934784186517540string aria-controls=-2651934784186517540bottom--2651934784186517540string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540bottom--2651934784186517540word aria-controls=-2651934784186517540bottom--2651934784186517540word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540bottom--2651934784186517540characters aria-controls=-2651934784186517540bottom--2651934784186517540characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2651934784186517540bottom--2651934784186517540overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;28&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;25&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;17.78358&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;813172&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;96&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;8 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;45726 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;Aachen&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;Aarhus&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;Abee&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;Acapulco&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;Achiras&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2651934784186517540bottom--2651934784186517540string&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h4 class=indent&gt;Common Values&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Aachen&gt; Aachen &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 7477&quot;&gt; Northwest Africa 7477 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 7414&quot;&gt; Northwest Africa 7414 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 742&quot;&gt; Northwest Africa 742 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 7428&quot;&gt; Northwest Africa 7428 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 7429&quot;&gt; Northwest Africa 7429 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 743&quot;&gt; Northwest Africa 743 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 744&quot;&gt; Northwest Africa 744 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; 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&amp;nbsp; &lt;/div&gt; 5.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=africa&gt; africa &lt;/td&gt;&lt;td&gt;4502&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt; 3.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=northwest&gt; northwest &lt;/td&gt;&lt;td&gt;4499&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt; 3.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=hills&gt; hills &lt;/td&gt;&lt;td&gt;3995&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.7%&gt; &amp;nbsp; &lt;/div&gt; 3.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=queen&gt; queen &lt;/td&gt;&lt;td&gt;3445&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.1%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=alexandra&gt; alexandra &lt;/td&gt;&lt;td&gt;3444&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.1%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=mountains&gt; mountains &lt;/td&gt;&lt;td&gt;3004&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt; &amp;nbsp; &lt;/div&gt; 2.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=al&gt; al &lt;/td&gt;&lt;td&gt;2663&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.1%&gt; &amp;nbsp; &lt;/div&gt; 2.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=grove&gt; grove &lt;/td&gt;&lt;td&gt;2496&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.9%&gt; &amp;nbsp; &lt;/div&gt; 2.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (37727)&quot;&gt; Other values (37727) &lt;/td&gt;&lt;td&gt;84870&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 67.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2651934784186517540bottom--2651934784186517540characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2651934784186517540unicode--2651934784186517540characters aria-controls=-2651934784186517540unicode--2651934784186517540characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540unicode--2651934784186517540categories aria-controls=-2651934784186517540unicode--2651934784186517540categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540unicode--2651934784186517540scripts aria-controls=-2651934784186517540unicode--2651934784186517540scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540unicode--2651934784186517540blocks aria-controls=-2651934784186517540unicode--2651934784186517540blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2651934784186517540unicode--2651934784186517540characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:21.4%&gt; &amp;nbsp; &lt;/div&gt; 10.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.2%&gt; &amp;nbsp; &lt;/div&gt; 8.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.7%&gt; &amp;nbsp; &lt;/div&gt; 5.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.1%&gt; &amp;nbsp; &lt;/div&gt; 4.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.2%&gt; &amp;nbsp; &lt;/div&gt; 4.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.7%&gt; &amp;nbsp; &lt;/div&gt; 4.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.6%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.4%&gt; &amp;nbsp; &lt;/div&gt; 3.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.2%&gt; &amp;nbsp; &lt;/div&gt; 3.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.0%&gt; &amp;nbsp; &lt;/div&gt; 3.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (86)&quot;&gt; Other values (86) &lt;/td&gt;&lt;td&gt;378949&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 46.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2651934784186517540unicode--2651934784186517540categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt; Lowercase Letter &lt;/td&gt;&lt;td&gt;440989&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 54.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt; Decimal Number &lt;/td&gt;&lt;td&gt;205415&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:46.6%&gt; 25.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt; Uppercase Letter &lt;/td&gt;&lt;td&gt;84942&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.3%&gt; &amp;nbsp; &lt;/div&gt; 10.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Space Separator&quot;&gt; Space Separator &lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.4%&gt; &amp;nbsp; &lt;/div&gt; 10.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Close Punctuation&quot;&gt; Close Punctuation &lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Open Punctuation&quot;&gt; Open Punctuation &lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Dash Punctuation&quot;&gt; Dash Punctuation &lt;/td&gt;&lt;td&gt;98&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Other Punctuation&quot;&gt; Other Punctuation &lt;/td&gt;&lt;td&gt;96&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Lowercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:81.3%&gt; 16.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:53.9%&gt; 10.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.0%&gt; 8.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:37.0%&gt; &amp;nbsp; &lt;/div&gt; 7.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:36.5%&gt; &amp;nbsp; &lt;/div&gt; 7.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:35.7%&gt; &amp;nbsp; &lt;/div&gt; 7.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:34.6%&gt; &amp;nbsp; &lt;/div&gt; 7.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:34.1%&gt; &amp;nbsp; &lt;/div&gt; 6.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=s&gt; s &lt;/td&gt;&lt;td&gt;20972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:23.5%&gt; &amp;nbsp; &lt;/div&gt; 4.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=m&gt; m &lt;/td&gt;&lt;td&gt;12393&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.9%&gt; &amp;nbsp; &lt;/div&gt; 2.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (39)&quot;&gt; Other values (39) &lt;/td&gt;&lt;td&gt;89386&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Uppercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;14120&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:84.6%&gt; 16.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=M&gt; M &lt;/td&gt;&lt;td&gt;11173&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:67.0%&gt; 13.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt; R &lt;/td&gt;&lt;td&gt;7599&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.5%&gt; 8.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Y&gt; Y &lt;/td&gt;&lt;td&gt;7327&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.9%&gt; 8.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=N&gt; N &lt;/td&gt;&lt;td&gt;5796&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:34.7%&gt; &amp;nbsp; &lt;/div&gt; 6.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt; H &lt;/td&gt;&lt;td&gt;5676&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:34.0%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=G&gt; G &lt;/td&gt;&lt;td&gt;4682&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.1%&gt; &amp;nbsp; &lt;/div&gt; 5.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=L&gt; L &lt;/td&gt;&lt;td&gt;4630&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.8%&gt; &amp;nbsp; &lt;/div&gt; 5.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=D&gt; D &lt;/td&gt;&lt;td&gt;3777&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.6%&gt; &amp;nbsp; &lt;/div&gt; 4.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Q&gt; Q &lt;/td&gt;&lt;td&gt;3478&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.8%&gt; &amp;nbsp; &lt;/div&gt; 4.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (21)&quot;&gt; Other values (21) &lt;/td&gt;&lt;td&gt;16684&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 17.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt; 9 &lt;/td&gt;&lt;td&gt;24444&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:70.0%&gt; 11.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt; 8 &lt;/td&gt;&lt;td&gt;22179&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:63.5%&gt; 10.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;21986&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:62.9%&gt; 10.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;19839&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:56.8%&gt; 9.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;19347&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:55.4%&gt; 9.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;17379&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.7%&gt; 8.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;16001&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.8%&gt; 7.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;14812&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.4%&gt; 7.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;14485&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:41.5%&gt; 7.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Other Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;&#x27;&quot;&gt; &amp;#39; &lt;/td&gt;&lt;td&gt;67&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 69.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;29&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.3%&gt; 30.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Space Separator&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Close Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=)&gt; ) &lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Open Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Dash Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-&gt; - &lt;/td&gt;&lt;td&gt;98&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2651934784186517540unicode--2651934784186517540scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt; Latin &lt;/td&gt;&lt;td&gt;525931&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 64.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Common&gt; Common &lt;/td&gt;&lt;td&gt;287241&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.6%&gt; 35.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Latin&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.1%&gt; 13.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.9%&gt; &amp;nbsp; &lt;/div&gt; 9.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.2%&gt; &amp;nbsp; &lt;/div&gt; 7.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.2%&gt; &amp;nbsp; &lt;/div&gt; 6.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.9%&gt; &amp;nbsp; &lt;/div&gt; 6.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.5%&gt; &amp;nbsp; &lt;/div&gt; 6.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.9%&gt; &amp;nbsp; &lt;/div&gt; 5.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.6%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=s&gt; s &lt;/td&gt;&lt;td&gt;20972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.2%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;14120&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.2%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (70)&quot;&gt; Other values (70) &lt;/td&gt;&lt;td&gt;172601&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 32.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 28.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.1%&gt; 12.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt; 9 &lt;/td&gt;&lt;td&gt;24444&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.2%&gt; &amp;nbsp; &lt;/div&gt; 8.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt; 8 &lt;/td&gt;&lt;td&gt;22179&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.4%&gt; &amp;nbsp; &lt;/div&gt; 7.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;21986&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.1%&gt; &amp;nbsp; &lt;/div&gt; 7.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;19839&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.5%&gt; &amp;nbsp; &lt;/div&gt; 6.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;19347&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:23.9%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;17379&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:21.4%&gt; &amp;nbsp; &lt;/div&gt; 6.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;16001&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.7%&gt; &amp;nbsp; &lt;/div&gt; 5.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;14812&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.3%&gt; &amp;nbsp; &lt;/div&gt; 5.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (6)&quot;&gt; Other values (6) &lt;/td&gt;&lt;td&gt;15269&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.8%&gt; &amp;nbsp; &lt;/div&gt; 5.3% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2651934784186517540unicode--2651934784186517540blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt; ASCII &lt;/td&gt;&lt;td&gt;812688&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 99.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=None&gt; None &lt;/td&gt;&lt;td&gt;484&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:21.4%&gt; &amp;nbsp; &lt;/div&gt; 10.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.2%&gt; &amp;nbsp; &lt;/div&gt; 8.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.7%&gt; &amp;nbsp; &lt;/div&gt; 5.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.1%&gt; &amp;nbsp; &lt;/div&gt; 4.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.2%&gt; &amp;nbsp; &lt;/div&gt; 4.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.7%&gt; &amp;nbsp; &lt;/div&gt; 4.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.6%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.4%&gt; &amp;nbsp; &lt;/div&gt; 3.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.2%&gt; &amp;nbsp; &lt;/div&gt; 3.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.0%&gt; &amp;nbsp; &lt;/div&gt; 3.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (58)&quot;&gt; Other values (58) &lt;/td&gt;&lt;td&gt;378465&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 46.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;None&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=é&gt; é &lt;/td&gt;&lt;td&gt;204&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 42.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ş&gt; ş &lt;/td&gt;&lt;td&gt;125&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:61.3%&gt; 25.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Ö&gt; Ö &lt;/td&gt;&lt;td&gt;63&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.9%&gt; &amp;nbsp; &lt;/div&gt; 13.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ö&gt; ö &lt;/td&gt;&lt;td&gt;11&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.4%&gt; &amp;nbsp; &lt;/div&gt; 2.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=á&gt; á &lt;/td&gt;&lt;td&gt;11&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.4%&gt; &amp;nbsp; &lt;/div&gt; 2.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ä&gt; ä &lt;/td&gt;&lt;td&gt;10&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt; &amp;nbsp; &lt;/div&gt; 2.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ó&gt; ó &lt;/td&gt;&lt;td&gt;8&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt; &amp;nbsp; &lt;/div&gt; 1.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ü&gt; ü &lt;/td&gt;&lt;td&gt;8&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt; &amp;nbsp; &lt;/div&gt; 1.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ñ&gt; ñ &lt;/td&gt;&lt;td&gt;8&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt; &amp;nbsp; &lt;/div&gt; 1.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ã&gt; ã &lt;/td&gt;&lt;td&gt;5&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (18)&quot;&gt; Other values (18) &lt;/td&gt;&lt;td&gt;31&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.2%&gt; &amp;nbsp; &lt;/div&gt; 6.4% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-8148293373365161854&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=nametype&gt;&lt;a href=#pp_var_-8148293373365161854&gt;nametype&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; Valid &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 45651&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Relict &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.2% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 75 &lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--8148293373365161854, #minifreqtable-8148293373365161854&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--8148293373365161854 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-8148293373365161854bottom--8148293373365161854overview aria-controls=-8148293373365161854bottom--8148293373365161854overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8148293373365161854bottom--8148293373365161854string aria-controls=-8148293373365161854bottom--8148293373365161854string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8148293373365161854bottom--8148293373365161854word aria-controls=-8148293373365161854bottom--8148293373365161854word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8148293373365161854bottom--8148293373365161854characters aria-controls=-8148293373365161854bottom--8148293373365161854characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-8148293373365161854bottom--8148293373365161854overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;6&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;5.0016402&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;228705&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;9&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode categories (click for more information)&quot; 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The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=-8148293373365161854unicode--8148293373365161854categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt; Lowercase Letter &lt;/td&gt;&lt;td&gt;182979&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 80.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt; Uppercase Letter &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.0%&gt; &amp;nbsp; &lt;/div&gt; 20.0% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Lowercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 24.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 24.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt; c &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Uppercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=V&gt; V &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 99.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt; R &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-8148293373365161854unicode--8148293373365161854scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt; Latin &lt;/td&gt;&lt;td&gt;228705&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Latin&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt; V &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt; R &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt; c &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-8148293373365161854unicode--8148293373365161854blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt; ASCII &lt;/td&gt;&lt;td&gt;228705&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt; V &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt; R &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt; c &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-2148494336273378825&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=recclass&gt;&lt;a href=#pp_var_-2148494336273378825&gt;recclass&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;466&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; L6 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:49.4% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 8287&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; H5 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:42.6% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 7143&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; L5 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:28.6% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 4797&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; H6 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:27.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 4529&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; H4 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:25.1% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 4211&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;th width=10%&gt; Other values (461) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 16759&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--2148494336273378825, #minifreqtable-2148494336273378825&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--2148494336273378825 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2148494336273378825bottom--2148494336273378825overview aria-controls=-2148494336273378825bottom--2148494336273378825overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825bottom--2148494336273378825string aria-controls=-2148494336273378825bottom--2148494336273378825string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825bottom--2148494336273378825word aria-controls=-2148494336273378825bottom--2148494336273378825word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825bottom--2148494336273378825characters aria-controls=-2148494336273378825bottom--2148494336273378825characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2148494336273378825bottom--2148494336273378825overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;26&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;3.0525303&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;139580&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;62&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;9 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;145 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;L5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;H6&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;EH4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;Acapulcoite&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;L6&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2148494336273378825bottom--2148494336273378825string&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h4 class=indent&gt;Common Values&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L6&gt; L6 &lt;/td&gt;&lt;td&gt;8287&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:84.1%&gt; 18.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H5&gt; H5 &lt;/td&gt;&lt;td&gt;7143&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:72.5%&gt; 15.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=L5&gt; L5 &lt;/td&gt;&lt;td&gt;4797&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:48.7%&gt; 10.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H6&gt; H6 &lt;/td&gt;&lt;td&gt;4529&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:46.0%&gt; 9.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H4&gt; 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15.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l5&gt; l5 &lt;/td&gt;&lt;td&gt;4818&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.0%&gt; 10.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h6&gt; h6 &lt;/td&gt;&lt;td&gt;4530&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.3%&gt; 9.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h4&gt; h4 &lt;/td&gt;&lt;td&gt;4223&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.4%&gt; &amp;nbsp; &lt;/div&gt; 8.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ll5&gt; ll5 &lt;/td&gt;&lt;td&gt;2766&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.8%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ll6&gt; ll6 &lt;/td&gt;&lt;td&gt;2046&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.1%&gt; &amp;nbsp; &lt;/div&gt; 4.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l4&gt; l4 &lt;/td&gt;&lt;td&gt;1256&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.7%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=iron&gt; iron &lt;/td&gt;&lt;td&gt;1070&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.0%&gt; &amp;nbsp; &lt;/div&gt; 2.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h4/5&gt; h4/5 &lt;/td&gt;&lt;td&gt;428&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.0%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (434)&quot;&gt; Other values (434) &lt;/td&gt;&lt;td&gt;10712&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 22.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2148494336273378825bottom--2148494336273378825characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2148494336273378825unicode--2148494336273378825characters aria-controls=-2148494336273378825unicode--2148494336273378825characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825unicode--2148494336273378825categories aria-controls=-2148494336273378825unicode--2148494336273378825categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825unicode--2148494336273378825scripts aria-controls=-2148494336273378825unicode--2148494336273378825scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825unicode--2148494336273378825blocks aria-controls=-2148494336273378825unicode--2148494336273378825blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2148494336273378825unicode--2148494336273378825characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt; L &lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:80.9%&gt; 20.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt; H &lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:52.3%&gt; 13.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:46.7%&gt; 11.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.9%&gt; 11.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.7%&gt; &amp;nbsp; &lt;/div&gt; 5.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.3%&gt; &amp;nbsp; &lt;/div&gt; 2.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.9%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.4%&gt; &amp;nbsp; &lt;/div&gt; 2.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.5%&gt; &amp;nbsp; &lt;/div&gt; 2.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.3%&gt; &amp;nbsp; &lt;/div&gt; 2.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (52)&quot;&gt; Other values (52) &lt;/td&gt;&lt;td&gt;35177&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2148494336273378825unicode--2148494336273378825categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt; Uppercase Letter &lt;/td&gt;&lt;td&gt;57793&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 41.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt; Decimal Number &lt;/td&gt;&lt;td&gt;44118&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:76.3%&gt; 31.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt; Lowercase Letter &lt;/td&gt;&lt;td&gt;29926&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:51.8%&gt; 21.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Other Punctuation&quot;&gt; Other Punctuation &lt;/td&gt;&lt;td&gt;3293&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.7%&gt; &amp;nbsp; &lt;/div&gt; 2.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Dash Punctuation&quot;&gt; Dash Punctuation &lt;/td&gt;&lt;td&gt;1835&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt; &amp;nbsp; &lt;/div&gt; 1.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Space Separator&quot;&gt; Space Separator &lt;/td&gt;&lt;td&gt;1747&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.0%&gt; &amp;nbsp; &lt;/div&gt; 1.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Math Symbol&quot;&gt; Math Symbol &lt;/td&gt;&lt;td&gt;320&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Open Punctuation&quot;&gt; Open Punctuation &lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Close Punctuation&quot;&gt; Close Punctuation &lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Lowercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:88.1%&gt; 13.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:85.1%&gt; 12.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:81.0%&gt; 12.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:73.8%&gt; 11.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;2520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:55.9%&gt; 8.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;2458&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.5%&gt; 8.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt; c &lt;/td&gt;&lt;td&gt;1767&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.2%&gt; &amp;nbsp; &lt;/div&gt; 5.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt; u &lt;/td&gt;&lt;td&gt;1469&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:32.6%&gt; &amp;nbsp; &lt;/div&gt; 4.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;1409&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:31.3%&gt; &amp;nbsp; &lt;/div&gt; 4.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;1016&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.5%&gt; &amp;nbsp; &lt;/div&gt; 3.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (12)&quot;&gt; Other values (12) &lt;/td&gt;&lt;td&gt;4506&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 15.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Uppercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt; L &lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt; H &lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.6%&gt; 31.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=I&gt; I &lt;/td&gt;&lt;td&gt;2753&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.7%&gt; &amp;nbsp; &lt;/div&gt; 4.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=C&gt; C &lt;/td&gt;&lt;td&gt;1785&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.3%&gt; &amp;nbsp; &lt;/div&gt; 3.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=E&gt; E &lt;/td&gt;&lt;td&gt;1261&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.4%&gt; &amp;nbsp; &lt;/div&gt; 2.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;985&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt; &amp;nbsp; &lt;/div&gt; 1.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=M&gt; M &lt;/td&gt;&lt;td&gt;913&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt; &amp;nbsp; &lt;/div&gt; 1.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=B&gt; B &lt;/td&gt;&lt;td&gt;754&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.6%&gt; &amp;nbsp; &lt;/div&gt; 1.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=O&gt; O &lt;/td&gt;&lt;td&gt;542&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.9%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt; V &lt;/td&gt;&lt;td&gt;350&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (10)&quot;&gt; Other values (10) &lt;/td&gt;&lt;td&gt;1587&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.6%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 37.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:98.3%&gt; 36.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.2%&gt; 15.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.0%&gt; &amp;nbsp; &lt;/div&gt; 7.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;646&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt; &amp;nbsp; &lt;/div&gt; 1.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;251&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.5%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt; 8 &lt;/td&gt;&lt;td&gt;216&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt; 9 &lt;/td&gt;&lt;td&gt;111&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.7%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;100&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;35&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Other Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=/ &gt; / &lt;/td&gt;&lt;td&gt;1174&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 35.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;1064&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:90.6%&gt; 32.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;1031&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:87.8%&gt; 31.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=?&gt; ? &lt;/td&gt;&lt;td&gt;24&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.0%&gt; &amp;nbsp; &lt;/div&gt; 0.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Math Symbol&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=~&gt; ~ &lt;/td&gt;&lt;td&gt;319&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 99.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;&lt;&quot;&gt; &amp;lt; &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Dash Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-&gt; - &lt;/td&gt;&lt;td&gt;1835&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Space Separator&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;1747&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Open Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Close Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=)&gt; ) &lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2148494336273378825unicode--2148494336273378825scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt; Latin &lt;/td&gt;&lt;td&gt;87719&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 62.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Common&gt; Common &lt;/td&gt;&lt;td&gt;51861&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:59.1%&gt; 37.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Latin&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt; L &lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 32.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt; H &lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.6%&gt; 21.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:14.0%&gt; &amp;nbsp; &lt;/div&gt; 4.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.5%&gt; &amp;nbsp; &lt;/div&gt; 4.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.8%&gt; &amp;nbsp; &lt;/div&gt; 4.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.7%&gt; &amp;nbsp; &lt;/div&gt; 3.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=I&gt; I &lt;/td&gt;&lt;td&gt;2753&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.7%&gt; &amp;nbsp; &lt;/div&gt; 3.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;2520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.9%&gt; &amp;nbsp; &lt;/div&gt; 2.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;2458&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.6%&gt; &amp;nbsp; &lt;/div&gt; 2.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=C&gt; C &lt;/td&gt;&lt;td&gt;1785&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.3%&gt; &amp;nbsp; &lt;/div&gt; 2.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (32)&quot;&gt; Other values (32) &lt;/td&gt;&lt;td&gt;16559&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.2%&gt; 18.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 31.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:98.3%&gt; 31.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.2%&gt; 13.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.0%&gt; &amp;nbsp; &lt;/div&gt; 6.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-&gt; - &lt;/td&gt;&lt;td&gt;1835&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.2%&gt; &amp;nbsp; &lt;/div&gt; 3.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;1747&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.6%&gt; &amp;nbsp; &lt;/div&gt; 3.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=/ &gt; / &lt;/td&gt;&lt;td&gt;1174&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.2%&gt; &amp;nbsp; &lt;/div&gt; 2.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;1064&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.5%&gt; &amp;nbsp; &lt;/div&gt; 2.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;1031&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.3%&gt; &amp;nbsp; &lt;/div&gt; 2.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;646&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt; &amp;nbsp; &lt;/div&gt; 1.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (10)&quot;&gt; Other values (10) &lt;/td&gt;&lt;td&gt;1605&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.8%&gt; &amp;nbsp; &lt;/div&gt; 3.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2148494336273378825unicode--2148494336273378825blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt; ASCII &lt;/td&gt;&lt;td&gt;139580&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt; L &lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:80.9%&gt; 20.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt; H &lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:52.3%&gt; 13.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:46.7%&gt; 11.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.9%&gt; 11.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.7%&gt; &amp;nbsp; &lt;/div&gt; 5.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.3%&gt; &amp;nbsp; &lt;/div&gt; 2.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.9%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.4%&gt; &amp;nbsp; &lt;/div&gt; 2.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.5%&gt; &amp;nbsp; &lt;/div&gt; 2.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.3%&gt; &amp;nbsp; &lt;/div&gt; 2.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (52)&quot;&gt; Other values (52) &lt;/td&gt;&lt;td&gt;35177&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; 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+       "L 493.2 11.621209 \n",
+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pfea80b8dc7&gt;&lt;rect x=63.28 y=11.621209 width=429.92 height=163.986907 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=50) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=4776885090936946952bottom-4776885090936946952common_values&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;6438&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:32.8%&gt; &amp;nbsp; &lt;/div&gt; 14.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-71.5&gt; -71.5 &lt;/td&gt;&lt;td&gt;4761&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.3%&gt; &amp;nbsp; &lt;/div&gt; 10.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-84&gt; -84 &lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.5%&gt; &amp;nbsp; &lt;/div&gt; 6.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72&gt; -72 &lt;/td&gt;&lt;td&gt;1506&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 3.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-79.68333&gt; -79.68333 &lt;/td&gt;&lt;td&gt;1130&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.8%&gt; &amp;nbsp; &lt;/div&gt; 2.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-76.71667&gt; -76.71667 &lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt; &amp;nbsp; &lt;/div&gt; 1.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-76.18333&gt; -76.18333 &lt;/td&gt;&lt;td&gt;539&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.7%&gt; &amp;nbsp; &lt;/div&gt; 1.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-84.21667&gt; -84.21667 &lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.36667&gt; -86.36667 &lt;/td&gt;&lt;td&gt;226&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.71667&gt; -86.71667 &lt;/td&gt;&lt;td&gt;217&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.1%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (12728)&quot;&gt; Other values (12728) &lt;/td&gt;&lt;td&gt;19611&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 42.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt; (Missing) &lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:37.3%&gt; &amp;nbsp; &lt;/div&gt; 16.0% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=4776885090936946952bottom-4776885090936946952extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#4776885090936946952extreme_values-4776885090936946952firstn aria-controls=4776885090936946952extreme_values-4776885090936946952firstn role=tab data-toggle=tab&gt;Minimum 10 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#4776885090936946952extreme_values-4776885090936946952lastn aria-controls=4776885090936946952extreme_values-4776885090936946952lastn role=tab data-toggle=tab&gt;Maximum 10 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=4776885090936946952extreme_values-4776885090936946952firstn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-87.36667&gt; -87.36667 &lt;/td&gt;&lt;td&gt;4&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.8%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-87.03333&gt; -87.03333 &lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.4%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.93333&gt; -86.93333 &lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.4%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.71667&gt; -86.71667 &lt;/td&gt;&lt;td&gt;217&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 0.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.56667&gt; -86.56667 &lt;/td&gt;&lt;td&gt;17&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.8%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.54488&gt; -86.54488 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.5379&gt; -86.5379 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.53734&gt; -86.53734 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.53725&gt; -86.53725 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.53035&gt; -86.53035 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=4776885090936946952extreme_values-4776885090936946952lastn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=81.16667&gt; 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70 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=69.1&gt; 69.1 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=68&gt; 68 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=67.88333&gt; 67.88333 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-4402894416497577258&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=reclat_city&gt;&lt;a href=#pp_var_-4402894416497577258&gt;reclat_city&lt;/a&gt;&lt;br&gt;&lt;small&gt;Real number (&amp;Ropf;)&lt;/small&gt;&lt;/p&gt;&lt;p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high overall correlation with 2 fields: reclat, reclong&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&amp;nbsp &lt;code&gt;MISSING&lt;/code&gt;&amp;nbsp &lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-4&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;38401&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&gt; 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&amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57.31155131&gt; 57.31155131 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-35.75056886&gt; -35.75056886 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=41.51110154&gt; 41.51110154 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-29.26694654&gt; -29.26694654 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=28.6260409&gt; 28.6260409 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-36.73887961&gt; -36.73887961 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=20.92518768&gt; 20.92518768 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=49.80220637&gt; 49.80220637 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (38391)&quot;&gt; Other values (38391) &lt;/td&gt;&lt;td&gt;38391&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 84.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt; (Missing) &lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.1%&gt; &amp;nbsp; &lt;/div&gt; 16.0% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-4402894416497577258bottom--4402894416497577258extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-4402894416497577258extreme_values--4402894416497577258firstn aria-controls=-4402894416497577258extreme_values--4402894416497577258firstn role=tab data-toggle=tab&gt;Minimum 10 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-4402894416497577258extreme_values--4402894416497577258lastn aria-controls=-4402894416497577258extreme_values--4402894416497577258lastn role=tab data-toggle=tab&gt;Maximum 10 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-4402894416497577258extreme_values--4402894416497577258firstn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-101.8045342&gt; -101.8045342 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-101.2210869&gt; -101.2210869 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-100.6435133&gt; -100.6435133 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-100.3097195&gt; -100.3097195 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-100.3072925&gt; -100.3072925 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-100.3045539&gt; -100.3045539 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 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&amp;nbsp; &lt;/div&gt; 10.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=168&gt; 168 &lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.3%&gt; &amp;nbsp; &lt;/div&gt; 6.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26&gt; 26 &lt;/td&gt;&lt;td&gt;1506&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.6%&gt; &amp;nbsp; &lt;/div&gt; 3.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.75&gt; 159.75 &lt;/td&gt;&lt;td&gt;657&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.3%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.66667&gt; 159.66667 &lt;/td&gt;&lt;td&gt;637&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=157.16667&gt; 157.16667 &lt;/td&gt;&lt;td&gt;542&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.7%&gt; &amp;nbsp; &lt;/div&gt; 1.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=155.75&gt; 155.75 &lt;/td&gt;&lt;td&gt;473&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=160.5&gt; 160.5 &lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-70&gt; -70 &lt;/td&gt;&lt;td&gt;228&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.1%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (14630)&quot;&gt; Other values (14630) &lt;/td&gt;&lt;td&gt;19866&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 43.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt; (Missing) &lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:36.8%&gt; &amp;nbsp; &lt;/div&gt; 16.0% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=9210089399670562856bottom-9210089399670562856extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#9210089399670562856extreme_values-9210089399670562856firstn aria-controls=9210089399670562856extreme_values-9210089399670562856firstn role=tab data-toggle=tab&gt;Minimum 10 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#9210089399670562856extreme_values-9210089399670562856lastn aria-controls=9210089399670562856extreme_values-9210089399670562856lastn role=tab data-toggle=tab&gt;Maximum 10 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=9210089399670562856extreme_values-9210089399670562856firstn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-165.43333&gt; -165.43333 &lt;/td&gt;&lt;td&gt;9&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:52.9%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-165.11667&gt; -165.11667 &lt;/td&gt;&lt;td&gt;17&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-163.16667&gt; -163.16667 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-162.55&gt; -162.55 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-157.86667&gt; -157.86667 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-157.78333&gt; -157.78333 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-149.5&gt; -149.5 &lt;/td&gt;&lt;td&gt;4&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:23.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-148.55&gt; -148.55 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.8%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-148&gt; -148 &lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.6%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-146.26667&gt; -146.26667 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=9210089399670562856extreme_values-9210089399670562856lastn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=354.47333&gt; 354.47333 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=178.2&gt; 178.2 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=178.08333&gt; 178.08333 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175.73028&gt; 175.73028 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175.13333&gt; 175.13333 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175&gt; 175 &lt;/td&gt;&lt;td&gt;185&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 0.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=174.50043&gt; 174.50043 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=174.4&gt; 174.4 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=172.7&gt; 172.7 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=172.6&gt; 172.6 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_5931471079661960421&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=source&gt;&lt;a href=#pp_var_5931471079661960421&gt;source&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; NASA &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 45726&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-5931471079661960421, #minifreqtable5931471079661960421&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-5931471079661960421 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#5931471079661960421bottom-5931471079661960421overview aria-controls=5931471079661960421bottom-5931471079661960421overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#5931471079661960421bottom-5931471079661960421string aria-controls=5931471079661960421bottom-5931471079661960421string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#5931471079661960421bottom-5931471079661960421word aria-controls=5931471079661960421bottom-5931471079661960421word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#5931471079661960421bottom-5931471079661960421characters aria-controls=5931471079661960421bottom-5931471079661960421characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=5931471079661960421bottom-5931471079661960421overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;182904&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; 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The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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id=5931471079661960421unicode-5931471079661960421characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;91452&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 50.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=N&gt; N &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 25.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=S&gt; S &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 25.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=5931471079661960421unicode-5931471079661960421categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt; 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+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pb1d5a68de2&gt;&lt;rect x=144 y=57.6 width=403.2 height=144 /&gt;&lt;/clippath&gt;&lt;clippath id=peae53e3091&gt;&lt;rect x=572.4 y=57.6 width=7.2 height=144 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another. &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=sample&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Sample&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#sample-head aria-controls=sample-head role=tab data-toggle=tab&gt;First rows&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#sample-tail aria-controls=sample-tail role=tab data-toggle=tab&gt;Last rows&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=sample-head&gt;&lt;div id=sample-container class=col-sm-12&gt;&lt;table border=1 class=&quot;dataframe sample table table-striped&quot;&gt;&lt;thead&gt;&lt;tr style=&quot;text-align: right;&quot;&gt;&lt;th&gt;&lt;/th&gt;&lt;th&gt;name&lt;/th&gt;&lt;th&gt;id&lt;/th&gt;&lt;th&gt;nametype&lt;/th&gt;&lt;th&gt;recclass&lt;/th&gt;&lt;th&gt;mass (g)&lt;/th&gt;&lt;th&gt;fall&lt;/th&gt;&lt;th&gt;year&lt;/th&gt;&lt;th&gt;reclat&lt;/th&gt;&lt;th&gt;reclong&lt;/th&gt;&lt;th&gt;GeoLocation&lt;/th&gt;&lt;th&gt;source&lt;/th&gt;&lt;th&gt;boolean&lt;/th&gt;&lt;th&gt;mixed&lt;/th&gt;&lt;th&gt;reclat_city&lt;/th&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;0&lt;/th&gt;&lt;td&gt;Aachen&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;L5&lt;/td&gt;&lt;td&gt;21.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001880&lt;/td&gt;&lt;td&gt;50.77500&lt;/td&gt;&lt;td&gt;6.08333&lt;/td&gt;&lt;td&gt;(50.775, 6.08333)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;52.096464&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;1&lt;/th&gt;&lt;td&gt;Aarhus&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;H6&lt;/td&gt;&lt;td&gt;720.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001951&lt;/td&gt;&lt;td&gt;56.18333&lt;/td&gt;&lt;td&gt;10.23333&lt;/td&gt;&lt;td&gt;(56.18333, 10.23333)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;False&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;57.311551&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2&lt;/th&gt;&lt;td&gt;Abee&lt;/td&gt;&lt;td&gt;6&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;EH4&lt;/td&gt;&lt;td&gt;107000.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001952&lt;/td&gt;&lt;td&gt;54.21667&lt;/td&gt;&lt;td&gt;-113.00000&lt;/td&gt;&lt;td&gt;(54.21667, -113.0)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;49.802206&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3&lt;/th&gt;&lt;td&gt;Acapulco&lt;/td&gt;&lt;td&gt;10&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;Acapulcoite&lt;/td&gt;&lt;td&gt;1914.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 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71.8)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;28.626041&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;6&lt;/th&gt;&lt;td&gt;Adzhi-Bogdo (stone)&lt;/td&gt;&lt;td&gt;390&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;LL3-6&lt;/td&gt;&lt;td&gt;910.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001949&lt;/td&gt;&lt;td&gt;44.83333&lt;/td&gt;&lt;td&gt;95.16667&lt;/td&gt;&lt;td&gt;(44.83333, 95.16667)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;48.243911&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;7&lt;/th&gt;&lt;td&gt;Agen&lt;/td&gt;&lt;td&gt;392&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;H5&lt;/td&gt;&lt;td&gt;30000.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001814&lt;/td&gt;&lt;td&gt;44.21667&lt;/td&gt;&lt;td&gt;0.61667&lt;/td&gt;&lt;td&gt;(44.21667, 0.61667)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;False&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;41.511102&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;8&lt;/th&gt;&lt;td&gt;Aguada&lt;/td&gt;&lt;td&gt;398&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;L6&lt;/td&gt;&lt;td&gt;1620.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001930&lt;/td&gt;&lt;td&gt;-31.60000&lt;/td&gt;&lt;td&gt;-65.23333&lt;/td&gt;&lt;td&gt;(-31.6, -65.23333)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;-35.750569&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;9&lt;/th&gt;&lt;td&gt;Aguila Blanca&lt;/td&gt;&lt;td&gt;417&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;L&lt;/td&gt;&lt;td&gt;1440.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001920&lt;/td&gt;&lt;td&gt;-30.86667&lt;/td&gt;&lt;td&gt;-64.55000&lt;/td&gt;&lt;td&gt;(-30.86667, 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copy&lt;/td&gt;&lt;td&gt;6&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;EH4&lt;/td&gt;&lt;td&gt;107000.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001952&lt;/td&gt;&lt;td&gt;54.21667&lt;/td&gt;&lt;td&gt;-113.00000&lt;/td&gt;&lt;td&gt;(54.21667, -113.0)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;49.802206&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;45719&lt;/th&gt;&lt;td&gt;Acapulco copy&lt;/td&gt;&lt;td&gt;10&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;Acapulcoite&lt;/td&gt;&lt;td&gt;1914.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001976&lt;/td&gt;&lt;td&gt;16.88333&lt;/td&gt;&lt;td&gt;-99.90000&lt;/td&gt;&lt;td&gt;(16.88333, -99.9)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;False&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;20.925188&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;45720&lt;/th&gt;&lt;td&gt;Achiras copy&lt;/td&gt;&lt;td&gt;370&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;L6&lt;/td&gt;&lt;td&gt;780.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001902&lt;/td&gt;&lt;td&gt;-33.16667&lt;/td&gt;&lt;td&gt;-64.95000&lt;/td&gt;&lt;td&gt;(-33.16667, -64.95)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;-36.738880&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;45721&lt;/th&gt;&lt;td&gt;Adhi Kot copy&lt;/td&gt;&lt;td&gt;379&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;EH4&lt;/td&gt;&lt;td&gt;4239.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001919&lt;/td&gt;&lt;td&gt;32.10000&lt;/td&gt;&lt;td&gt;71.80000&lt;/td&gt;&lt;td&gt;(32.1, 71.8)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;28.626041&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;45722&lt;/th&gt;&lt;td&gt;Adzhi-Bogdo (stone) 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copy&lt;/td&gt;&lt;td&gt;398&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;L6&lt;/td&gt;&lt;td&gt;1620.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001930&lt;/td&gt;&lt;td&gt;-31.60000&lt;/td&gt;&lt;td&gt;-65.23333&lt;/td&gt;&lt;td&gt;(-31.6, -65.23333)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;-35.750569&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;45725&lt;/th&gt;&lt;td&gt;Aguila Blanca copy&lt;/td&gt;&lt;td&gt;417&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;L&lt;/td&gt;&lt;td&gt;1440.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001920&lt;/td&gt;&lt;td&gt;-30.86667&lt;/td&gt;&lt;td&gt;-64.55000&lt;/td&gt;&lt;td&gt;(-30.86667, -64.55)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;-29.266947&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;footer&gt;&lt;div class=container-fluid&gt;&lt;div class=&quot;row center-block footer-text&quot;&gt;&lt;p class=&quot;text-muted text-center&quot;&gt;Report generated by &lt;a href=&quot;https://ydata.ai/?utm_source=opensource&amp;utm_medium=pandasprofiling&amp;utm_campaign=report&quot;&gt;YData&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/footer&gt;&lt;script&gt;\n",
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h.notifyWith(a,[j,f,c]),1&gt;f&amp;&amp;i?c:(h.resolveWith(a,[j]),!1)},j=h.promise({elem:a,props:n.extend({},b),opts:n.extend(!0,{specialEasing:{},easing:n.easing._default},c),originalProperties:b,originalOptions:c,startTime:hb||lb(),duration:c.duration,tweens:[],createTween:function(b,c){var d=n.Tween(a,j.opts,b,c,j.opts.specialEasing[b]||j.opts.easing);return j.tweens.push(d),d},stop:function(b){var c=0,d=b?j.tweens.length:0;if(e)return this;for(e=!0;d&gt;c;c++)j.tweens[c].run(1);return b?(h.notifyWith(a,[j,1,0]),h.resolveWith(a,[j,b])):h.rejectWith(a,[j,b]),this}}),k=j.props;for(pb(k,j.opts.specialEasing);g&gt;f;f++)if(d=qb.prefilters[f].call(j,a,k,j.opts))return n.isFunction(d.stop)&amp;&amp;(n._queueHooks(j.elem,j.opts.queue).stop=n.proxy(d.stop,d)),d;return n.map(k,nb,j),n.isFunction(j.opts.start)&amp;&amp;j.opts.start.call(a,j),n.fx.timer(n.extend(i,{elem:a,anim:j,queue:j.opts.queue})),j.progress(j.opts.progress).done(j.opts.done,j.opts.complete).fail(j.opts.fail).always(j.opts.always)}n.Animation=n.extend(qb,{tweeners:{&quot;*&quot;:[function(a,b){var c=this.createTween(a,b);return X(c.elem,a,U.exec(b),c),c}]},tweener:function(a,b){n.isFunction(a)?(b=a,a=[&quot;*&quot;]):a=a.match(G);for(var c,d=0,e=a.length;e&gt;d;d++)c=a[d],qb.tweeners[c]=qb.tweeners[c]||[],qb.tweeners[c].unshift(b)},prefilters:[ob],prefilter:function(a,b){b?qb.prefilters.unshift(a):qb.prefilters.push(a)}}),n.speed=function(a,b,c){var d=a&amp;&amp;&quot;object&quot;==typeof a?n.extend({},a):{complete:c||!c&amp;&amp;b||n.isFunction(a)&amp;&amp;a,duration:a,easing:c&amp;&amp;b||b&amp;&amp;!n.isFunction(b)&amp;&amp;b};return d.duration=n.fx.off?0:&quot;number&quot;==typeof d.duration?d.duration:d.duration in n.fx.speeds?n.fx.speeds[d.duration]:n.fx.speeds._default,null!=d.queue&amp;&amp;d.queue!==!0||(d.queue=&quot;fx&quot;),d.old=d.complete,d.complete=function(){n.isFunction(d.old)&amp;&amp;d.old.call(this),d.queue&amp;&amp;n.dequeue(this,d.queue)},d},n.fn.extend({fadeTo:function(a,b,c,d){return this.filter(W).css(&quot;opacity&quot;,0).show().end().animate({opacity:b},a,c,d)},animate:function(a,b,c,d){var e=n.isEmptyObject(a),f=n.speed(b,c,d),g=function(){var b=qb(this,n.extend({},a),f);(e||n._data(this,&quot;finish&quot;))&amp;&amp;b.stop(!0)};return g.finish=g,e||f.queue===!1?this.each(g):this.queue(f.queue,g)},stop:function(a,b,c){var d=function(a){var b=a.stop;delete a.stop,b(c)};return&quot;string&quot;!=typeof a&amp;&amp;(c=b,b=a,a=void 0),b&amp;&amp;a!==!1&amp;&amp;this.queue(a||&quot;fx&quot;,[]),this.each(function(){var b=!0,e=null!=a&amp;&amp;a+&quot;queueHooks&quot;,f=n.timers,g=n._data(this);if(e)g[e]&amp;&amp;g[e].stop&amp;&amp;d(g[e]);else for(e in g)g[e]&amp;&amp;g[e].stop&amp;&amp;kb.test(e)&amp;&amp;d(g[e]);for(e=f.length;e--;)f[e].elem!==this||null!=a&amp;&amp;f[e].queue!==a||(f[e].anim.stop(c),b=!1,f.splice(e,1));!b&amp;&amp;c||n.dequeue(this,a)})},finish:function(a){return a!==!1&amp;&amp;(a=a||&quot;fx&quot;),this.each(function(){var b,c=n._data(this),d=c[a+&quot;queue&quot;],e=c[a+&quot;queueHooks&quot;],f=n.timers,g=d?d.length:0;for(c.finish=!0,n.queue(this,a,[]),e&amp;&amp;e.stop&amp;&amp;e.stop.call(this,!0),b=f.length;b--;)f[b].elem===this&amp;&amp;f[b].queue===a&amp;&amp;(f[b].anim.stop(!0),f.splice(b,1));for(b=0;g&gt;b;b++)d[b]&amp;&amp;d[b].finish&amp;&amp;d[b].finish.call(this);delete c.finish})}}),n.each([&quot;toggle&quot;,&quot;show&quot;,&quot;hide&quot;],function(a,b){var c=n.fn[b];n.fn[b]=function(a,d,e){return null==a||&quot;boolean&quot;==typeof 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a,b=d.createElement(&quot;input&quot;),c=d.createElement(&quot;div&quot;),e=d.createElement(&quot;select&quot;),f=e.appendChild(d.createElement(&quot;option&quot;));c=d.createElement(&quot;div&quot;),c.setAttribute(&quot;className&quot;,&quot;t&quot;),c.innerHTML=&quot;  &lt;link/&gt;&lt;table&gt;&lt;/table&gt;&lt;a href=&#x27;/a&#x27;&gt;a&lt;/a&gt;&lt;input type=&#x27;checkbox&#x27;/&gt;&quot;,a=c.getElementsByTagName(&quot;a&quot;)[0],b.setAttribute(&quot;type&quot;,&quot;checkbox&quot;),c.appendChild(b),a=c.getElementsByTagName(&quot;a&quot;)[0],a.style.cssText=&quot;top:1px&quot;,l.getSetAttribute=&quot;t&quot;!==c.className,l.style=/top/.test(a.getAttribute(&quot;style&quot;)),l.hrefNormalized=&quot;/a&quot;===a.getAttribute(&quot;href&quot;),l.checkOn=!!b.value,l.optSelected=f.selected,l.enctype=!!d.createElement(&quot;form&quot;).enctype,e.disabled=!0,l.optDisabled=!f.disabled,b=d.createElement(&quot;input&quot;),b.setAttribute(&quot;value&quot;,&quot;&quot;),l.input=&quot;&quot;===b.getAttribute(&quot;value&quot;),b.value=&quot;t&quot;,b.setAttribute(&quot;type&quot;,&quot;radio&quot;),l.radioValue=&quot;t&quot;===b.value}();var rb=/\\r/g,sb=/[\\x20\\t\\r\\n\\f]+/g;n.fn.extend({val:function(a){var b,c,d,e=this[0];{if(arguments.length)return d=n.isFunction(a),this.each(function(c){var e;1===this.nodeType&amp;&amp;(e=d?a.call(this,c,n(this).val()):a,null==e?e=&quot;&quot;:&quot;number&quot;==typeof e?e+=&quot;&quot;:n.isArray(e)&amp;&amp;(e=n.map(e,function(a){return null==a?&quot;&quot;:a+&quot;&quot;})),b=n.valHooks[this.type]||n.valHooks[this.nodeName.toLowerCase()],b&amp;&amp;&quot;set&quot;in b&amp;&amp;void 0!==b.set(this,e,&quot;value&quot;)||(this.value=e))});if(e)return b=n.valHooks[e.type]||n.valHooks[e.nodeName.toLowerCase()],b&amp;&amp;&quot;get&quot;in b&amp;&amp;void 0!==(c=b.get(e,&quot;value&quot;))?c:(c=e.value,&quot;string&quot;==typeof c?c.replace(rb,&quot;&quot;):null==c?&quot;&quot;:c)}}}),n.extend({valHooks:{option:{get:function(a){var b=n.find.attr(a,&quot;value&quot;);return null!=b?b:n.trim(n.text(a)).replace(sb,&quot; &quot;)}},select:{get:function(a){for(var b,c,d=a.options,e=a.selectedIndex,f=&quot;select-one&quot;===a.type||0&gt;e,g=f?null:[],h=f?e+1:d.length,i=0&gt;e?h:f?e:0;h&gt;i;i++)if(c=d[i],(c.selected||i===e)&amp;&amp;(l.optDisabled?!c.disabled:null===c.getAttribute(&quot;disabled&quot;))&amp;&amp;(!c.parentNode.disabled||!n.nodeName(c.parentNode,&quot;optgroup&quot;))){if(b=n(c).val(),f)return b;g.push(b)}return g},set:function(a,b){var c,d,e=a.options,f=n.makeArray(b),g=e.length;while(g--)if(d=e[g],n.inArray(n.valHooks.option.get(d),f)&gt;-1)try{d.selected=c=!0}catch(h){d.scrollHeight}else d.selected=!1;return c||(a.selectedIndex=-1),e}}}}),n.each([&quot;radio&quot;,&quot;checkbox&quot;],function(){n.valHooks[this]={set:function(a,b){return n.isArray(b)?a.checked=n.inArray(n(a).val(),b)&gt;-1:void 0}},l.checkOn||(n.valHooks[this].get=function(a){return null===a.getAttribute(&quot;value&quot;)?&quot;on&quot;:a.value})});var tb,ub,vb=n.expr.attrHandle,wb=/^(?:checked|selected)$/i,xb=l.getSetAttribute,yb=l.input;n.fn.extend({attr:function(a,b){return Y(this,n.attr,a,b,arguments.length&gt;1)},removeAttr:function(a){return this.each(function(){n.removeAttr(this,a)})}}),n.extend({attr:function(a,b,c){var d,e,f=a.nodeType;if(3!==f&amp;&amp;8!==f&amp;&amp;2!==f)return&quot;undefined&quot;==typeof a.getAttribute?n.prop(a,b,c):(1===f&amp;&amp;n.isXMLDoc(a)||(b=b.toLowerCase(),e=n.attrHooks[b]||(n.expr.match.bool.test(b)?ub:tb)),void 0!==c?null===c?void n.removeAttr(a,b):e&amp;&amp;&quot;set&quot;in e&amp;&amp;void 0!==(d=e.set(a,c,b))?d:(a.setAttribute(b,c+&quot;&quot;),c):e&amp;&amp;&quot;get&quot;in e&amp;&amp;null!==(d=e.get(a,b))?d:(d=n.find.attr(a,b),null==d?void 0:d))},attrHooks:{type:{set:function(a,b){if(!l.radioValue&amp;&amp;&quot;radio&quot;===b&amp;&amp;n.nodeName(a,&quot;input&quot;)){var c=a.value;return a.setAttribute(&quot;type&quot;,b),c&amp;&amp;(a.value=c),b}}}},removeAttr:function(a,b){var c,d,e=0,f=b&amp;&amp;b.match(G);if(f&amp;&amp;1===a.nodeType)while(c=f[e++])d=n.propFix[c]||c,n.expr.match.bool.test(c)?yb&amp;&amp;xb||!wb.test(c)?a[d]=!1:a[n.camelCase(&quot;default-&quot;+c)]=a[d]=!1:n.attr(a,c,&quot;&quot;),a.removeAttribute(xb?c:d)}}),ub={set:function(a,b,c){return b===!1?n.removeAttr(a,c):yb&amp;&amp;xb||!wb.test(c)?a.setAttribute(!xb&amp;&amp;n.propFix[c]||c,c):a[n.camelCase(&quot;default-&quot;+c)]=a[c]=!0,c}},n.each(n.expr.match.bool.source.match(/\\w+/g),function(a,b){var c=vb[b]||n.find.attr;yb&amp;&amp;xb||!wb.test(b)?vb[b]=function(a,b,d){var e,f;return d||(f=vb[b],vb[b]=e,e=null!=c(a,b,d)?b.toLowerCase():null,vb[b]=f),e}:vb[b]=function(a,b,c){return c?void 0:a[n.camelCase(&quot;default-&quot;+b)]?b.toLowerCase():null}}),yb&amp;&amp;xb||(n.attrHooks.value={set:function(a,b,c){return n.nodeName(a,&quot;input&quot;)?void(a.defaultValue=b):tb&amp;&amp;tb.set(a,b,c)}}),xb||(tb={set:function(a,b,c){var d=a.getAttributeNode(c);return d||a.setAttributeNode(d=a.ownerDocument.createAttribute(c)),d.value=b+=&quot;&quot;,&quot;value&quot;===c||b===a.getAttribute(c)?b:void 0}},vb.id=vb.name=vb.coords=function(a,b,c){var d;return c?void 0:(d=a.getAttributeNode(b))&amp;&amp;&quot;&quot;!==d.value?d.value:null},n.valHooks.button={get:function(a,b){var c=a.getAttributeNode(b);return c&amp;&amp;c.specified?c.value:void 0},set:tb.set},n.attrHooks.contenteditable={set:function(a,b,c){tb.set(a,&quot;&quot;===b?!1:b,c)}},n.each([&quot;width&quot;,&quot;height&quot;],function(a,b){n.attrHooks[b]={set:function(a,c){return&quot;&quot;===c?(a.setAttribute(b,&quot;auto&quot;),c):void 0}}})),l.style||(n.attrHooks.style={get:function(a){return a.style.cssText||void 0},set:function(a,b){return a.style.cssText=b+&quot;&quot;}});var zb=/^(?:input|select|textarea|button|object)$/i,Ab=/^(?:a|area)$/i;n.fn.extend({prop:function(a,b){return Y(this,n.prop,a,b,arguments.length&gt;1)},removeProp:function(a){return 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       &lt;/script&gt;&lt;script&gt;\n",
+       "$(function () {\n",
+       "    $(&#x27;[data-toggle=&quot;tooltip&quot;]&#x27;).tooltip();\n",
+       "});\n",
+       "\n",
+       "$(&quot;a&quot;).not(&quot;[href^=&#x27;#&#x27;]&quot;).attr(&#x27;target&#x27;, &#x27;_blank&#x27;);\n",
+       "\n",
+       "$(&quot;a[href^=&#x27;#&#x27;]&quot;).not(&quot;[role=&#x27;tab&#x27;]&quot;).on(&#x27;click&#x27;, function (e) {\n",
+       "\n",
+       "    // prevent default anchor click behavior\n",
+       "    e.preventDefault();\n",
+       "\n",
+       "    // store hash\n",
+       "    var hash = this.hash;\n",
+       "\n",
+       "    // animate\n",
+       "    $(&#x27;html, body&#x27;).animate({\n",
+       "        scrollTop: $(hash).offset().top\n",
+       "    }, 300, function () {\n",
+       "\n",
+       "        // when done, add hash to url\n",
+       "        // (default click behaviour)\n",
+       "        window.location.hash = hash;\n",
+       "    });\n",
+       "\n",
+       "});\n",
+       "\n",
+       "$(&quot;select#variables-dropdown&quot;).on(&quot;change&quot;, function (e) {\n",
+       "    var searchText = $(&quot;select#variables-dropdown&quot;).val().toLowerCase();\n",
+       "    var variables = $(&quot;.variable&quot;);\n",
+       "    variables.each(function (index) {\n",
+       "        var isMatch = $(this.firstChild.firstChild).attr(&quot;title&quot;).toLowerCase() == (searchText);\n",
+       "        if(searchText == &quot;&quot;){isMatch = true};\n",
+       "        $(this).parent().toggle(isMatch);\n",
+       "    });\n",
+       "});        &lt;/script&gt;&lt;/body&gt;&lt;/html&gt;\" frameborder=\"0\" allowfullscreen></iframe>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "report = df.profile_report(sort='ascending', html={'style':{'full_width': True}}, progress_bar=False)\n",
+    "report"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Save report to file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "111e48644e8546169de7d5b7a1445bcf",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Summarize dataset:   0%|          | 0/5 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\ydata_profiling\\model\\pandas\\describe_date_pandas.py:34: UserWarning: Discarding nonzero nanoseconds in conversion.\n",
+      "  \"min\": pd.Timestamp.to_pydatetime(series.min()),\n",
+      "C:\\Users\\jwatki8\\anaconda3\\lib\\site-packages\\ydata_profiling\\model\\pandas\\describe_date_pandas.py:35: UserWarning: Discarding nonzero nanoseconds in conversion.\n",
+      "  \"max\": pd.Timestamp.to_pydatetime(series.max()),\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9dd349d8f57b470bb4cf19838e1333d4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Generate report structure:   0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "de5e7fa5a2c94891a9d4ecf77a797b98",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Render HTML:   0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1b40007635ab418eac021fe79310dcc6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Export report to file:   0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "profile_report = df.profile_report(html={'style': {'full_width': True}})\n",
+    "profile_report.to_file(\"example.html\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### More analysis (Unicode) and Print existing ProfileReport object inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "94e64fdd870743168b7d44ff11555395",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Summarize dataset:   0%|          | 0/5 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e54d9dc694db4b87bd9df1e084e4a19a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Generate report structure:   0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "214608a6dea248579d16a24c6dbbca77",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Render HTML:   0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<iframe width=\"100%\" height=\"800px\" srcdoc=\"&lt;!doctype html&gt;&lt;html lang=en&gt;&lt;head&gt;&lt;meta charset=utf-8&gt;&lt;meta name=viewport content=&quot;width=device-width, initial-scale=1, shrink-to-fit=no&quot;&gt;&lt;meta name=description content=&quot;Profile report generated by YData! Visit us at https://ydata.ai&quot;&gt;&lt;meta name=author content=&quot;YData and the open source community.&quot;&gt;&lt;meta name=generator content=&quot;Pandas Profiling vv4.1.2&quot;&gt;&lt;meta name=url content=https://github.com/ydataai/ydata-profiling&gt;&lt;meta name=date content=&quot;2023-05-15 15:59:25.626057&quot;&gt;&lt;title&gt;Pandas Profiling Report&lt;/title&gt;&lt;style&gt;\n",
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+       " * Bootstrap v3.3.7 (http://getbootstrap.com)\n",
+       " * Copyright 2011-2016 Twitter, Inc.\n",
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GradientType=0);background-repeat:repeat-x;border-color:#dca7a7}.progress{background-image:-webkit-linear-gradient(top,#ebebeb 0,#f5f5f5 100%);background-image:-o-linear-gradient(top,#ebebeb 0,#f5f5f5 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#ebebeb),to(#f5f5f5));background-image:linear-gradient(to bottom,#ebebeb 0,#f5f5f5 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffebebeb&#x27;, endColorstr=&#x27;#fff5f5f5&#x27;, GradientType=0);background-repeat:repeat-x}.progress-bar{background-image:-webkit-linear-gradient(top,#337ab7 0,#286090 100%);background-image:-o-linear-gradient(top,#337ab7 0,#286090 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#337ab7),to(#286090));background-image:linear-gradient(to bottom,#337ab7 0,#286090 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff337ab7&#x27;, endColorstr=&#x27;#ff286090&#x27;, GradientType=0);background-repeat:repeat-x}.progress-bar-success{background-image:-webkit-linear-gradient(top,#5cb85c 0,#449d44 100%);background-image:-o-linear-gradient(top,#5cb85c 0,#449d44 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#5cb85c),to(#449d44));background-image:linear-gradient(to bottom,#5cb85c 0,#449d44 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff5cb85c&#x27;, endColorstr=&#x27;#ff449d44&#x27;, GradientType=0);background-repeat:repeat-x}.progress-bar-info{background-image:-webkit-linear-gradient(top,#5bc0de 0,#31b0d5 100%);background-image:-o-linear-gradient(top,#5bc0de 0,#31b0d5 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#5bc0de),to(#31b0d5));background-image:linear-gradient(to bottom,#5bc0de 0,#31b0d5 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff5bc0de&#x27;, endColorstr=&#x27;#ff31b0d5&#x27;, GradientType=0);background-repeat:repeat-x}.progress-bar-warning{background-image:-webkit-linear-gradient(top,#f0ad4e 0,#ec971f 100%);background-image:-o-linear-gradient(top,#f0ad4e 0,#ec971f 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#f0ad4e),to(#ec971f));background-image:linear-gradient(to bottom,#f0ad4e 0,#ec971f 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fff0ad4e&#x27;, endColorstr=&#x27;#ffec971f&#x27;, GradientType=0);background-repeat:repeat-x}.progress-bar-danger{background-image:-webkit-linear-gradient(top,#d9534f 0,#c9302c 100%);background-image:-o-linear-gradient(top,#d9534f 0,#c9302c 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#d9534f),to(#c9302c));background-image:linear-gradient(to bottom,#d9534f 0,#c9302c 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffd9534f&#x27;, endColorstr=&#x27;#ffc9302c&#x27;, GradientType=0);background-repeat:repeat-x}.progress-bar-striped{background-image:-webkit-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:-o-linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent);background-image:linear-gradient(45deg,rgba(255,255,255,.15) 25%,transparent 25%,transparent 50%,rgba(255,255,255,.15) 50%,rgba(255,255,255,.15) 75%,transparent 75%,transparent)}.list-group{border-radius:4px;-webkit-box-shadow:0 1px 2px rgba(0,0,0,.075);box-shadow:0 1px 2px rgba(0,0,0,.075)}.list-group-item.active,.list-group-item.active:focus,.list-group-item.active:hover{text-shadow:0 -1px 0 #286090;background-image:-webkit-linear-gradient(top,#337ab7 0,#2b669a 100%);background-image:-o-linear-gradient(top,#337ab7 0,#2b669a 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#337ab7),to(#2b669a));background-image:linear-gradient(to bottom,#337ab7 0,#2b669a 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff337ab7&#x27;, endColorstr=&#x27;#ff2b669a&#x27;, GradientType=0);background-repeat:repeat-x;border-color:#2b669a}.list-group-item.active .badge,.list-group-item.active:focus .badge,.list-group-item.active:hover .badge{text-shadow:none}.panel{-webkit-box-shadow:0 1px 2px rgba(0,0,0,.05);box-shadow:0 1px 2px rgba(0,0,0,.05)}.panel-default&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#f5f5f5 0,#e8e8e8 100%);background-image:-o-linear-gradient(top,#f5f5f5 0,#e8e8e8 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#f5f5f5),to(#e8e8e8));background-image:linear-gradient(to bottom,#f5f5f5 0,#e8e8e8 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fff5f5f5&#x27;, endColorstr=&#x27;#ffe8e8e8&#x27;, GradientType=0);background-repeat:repeat-x}.panel-primary&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-o-linear-gradient(top,#337ab7 0,#2e6da4 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#337ab7),to(#2e6da4));background-image:linear-gradient(to bottom,#337ab7 0,#2e6da4 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ff337ab7&#x27;, endColorstr=&#x27;#ff2e6da4&#x27;, GradientType=0);background-repeat:repeat-x}.panel-success&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#dff0d8 0,#d0e9c6 100%);background-image:-o-linear-gradient(top,#dff0d8 0,#d0e9c6 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#dff0d8),to(#d0e9c6));background-image:linear-gradient(to bottom,#dff0d8 0,#d0e9c6 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffdff0d8&#x27;, endColorstr=&#x27;#ffd0e9c6&#x27;, GradientType=0);background-repeat:repeat-x}.panel-info&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#d9edf7 0,#c4e3f3 100%);background-image:-o-linear-gradient(top,#d9edf7 0,#c4e3f3 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#d9edf7),to(#c4e3f3));background-image:linear-gradient(to bottom,#d9edf7 0,#c4e3f3 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffd9edf7&#x27;, endColorstr=&#x27;#ffc4e3f3&#x27;, GradientType=0);background-repeat:repeat-x}.panel-warning&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#fcf8e3 0,#faf2cc 100%);background-image:-o-linear-gradient(top,#fcf8e3 0,#faf2cc 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#fcf8e3),to(#faf2cc));background-image:linear-gradient(to bottom,#fcf8e3 0,#faf2cc 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fffcf8e3&#x27;, endColorstr=&#x27;#fffaf2cc&#x27;, GradientType=0);background-repeat:repeat-x}.panel-danger&gt;.panel-heading{background-image:-webkit-linear-gradient(top,#f2dede 0,#ebcccc 100%);background-image:-o-linear-gradient(top,#f2dede 0,#ebcccc 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#f2dede),to(#ebcccc));background-image:linear-gradient(to bottom,#f2dede 0,#ebcccc 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#fff2dede&#x27;, endColorstr=&#x27;#ffebcccc&#x27;, GradientType=0);background-repeat:repeat-x}.well{background-image:-webkit-linear-gradient(top,#e8e8e8 0,#f5f5f5 100%);background-image:-o-linear-gradient(top,#e8e8e8 0,#f5f5f5 100%);background-image:-webkit-gradient(linear,left top,left bottom,from(#e8e8e8),to(#f5f5f5));background-image:linear-gradient(to bottom,#e8e8e8 0,#f5f5f5 100%);filter:progid:DXImageTransform.Microsoft.gradient(startColorstr=&#x27;#ffe8e8e8&#x27;, endColorstr=&#x27;#fff5f5f5&#x27;, GradientType=0);background-repeat:repeat-x;border-color:#dcdcdc;-webkit-box-shadow:inset 0 1px 3px rgba(0,0,0,.05),0 1px 0 rgba(255,255,255,.1);box-shadow:inset 0 1px 3px rgba(0,0,0,.05),0 1px 0 rgba(255,255,255,.1)}\n",
+       "/*# sourceMappingURL=bootstrap-theme.min.css.map */        &lt;/style&gt;&lt;style&gt;body {\n",
+       "  padding-top: 80px;\n",
+       "}\n",
+       ".content .container-fluid{\n",
+       "    margin-left: 20px !important;\n",
+       "    margin-right: 20px !important;\n",
+       "    margin-bottom: 20px;\n",
+       "}\n",
+       "\n",
+       ".page-header{\n",
+       "    border:0 !important;\n",
+       "}\n",
+       "\n",
+       ".row.variable, .section-items &gt; .row {\n",
+       "    border: 1px solid #e1e1e8;\n",
+       "    border-top: hidden;\n",
+       "}\n",
+       "\n",
+       ".row.spacing {\n",
+       "    padding: 2em 1em;\n",
+       "}\n",
+       "\n",
+       ".row.header {\n",
+       "    border-bottom: 1px solid #e1e1e8;\n",
+       "    /*background-color: #f5f5f5;*/\n",
+       "    padding-left: 2em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       ".dl-horizontal dt {\n",
+       "    text-align: left;\n",
+       "    padding-right: 1em;\n",
+       "    white-space: normal;\n",
+       "}\n",
+       "\n",
+       ".dl-horizontal dd {\n",
+       "    margin-left: 0;\n",
+       "}\n",
+       "\n",
+       ".col-md-12 {\n",
+       "    padding-left: 2em;\n",
+       "}\n",
+       "\n",
+       ".indent {\n",
+       "    margin-left: 1em;\n",
+       "}\n",
+       "\n",
+       ".center-img {\n",
+       "    margin-left: auto !important;\n",
+       "    margin-right: auto !important;\n",
+       "    display: block;\n",
+       "}\n",
+       "\n",
+       "/* Table example_values */\n",
+       "table.example_values {\n",
+       "    border: 0;\n",
+       "}\n",
+       "\n",
+       ".example_values th {\n",
+       "    border: 0;\n",
+       "    padding: 0;\n",
+       "    color: #555;\n",
+       "    font-weight: 600;\n",
+       "}\n",
+       "\n",
+       ".example_values tr, .example_values td {\n",
+       "    border: 0;\n",
+       "    padding: 0;\n",
+       "    color: #555;\n",
+       "}\n",
+       "\n",
+       "table.correlation-table {\n",
+       "    width: 98%  /* To avoid an unnecessary overflow. */\n",
+       "}\n",
+       "\n",
+       "/* STATS */\n",
+       "table.stats, table.sample, table.duplicate, table.correlation-table{\n",
+       "    border: 0;\n",
+       "}\n",
+       "\n",
+       ".stats tr, .sample tr, .duplicate tr, .correlation-table tr {\n",
+       "    border: 0;\n",
+       "}\n",
+       "\n",
+       ".stats th, .stats td{\n",
+       "    color: #555;\n",
+       "    border: 0;\n",
+       "}\n",
+       "\n",
+       ".stats th {\n",
+       "    padding: 0 2em 0 0;\n",
+       "    font-weight: 600;\n",
+       "}\n",
+       "\n",
+       ".stats td {\n",
+       "    padding: 1px;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Sample table */\n",
+       "table.sample, table.duplicate, table.correlation-table {\n",
+       "    margin-bottom: 2em;\n",
+       "    margin-left: 1em;\n",
+       "}\n",
+       "\n",
+       ".sample td, .sample th, .duplicate td, .duplicate th, .correlation-table td, .correlation-table th {\n",
+       "    padding: 0.5em;\n",
+       "    white-space: nowrap;\n",
+       "    border: 0;\n",
+       "\n",
+       "}\n",
+       "\n",
+       ".sample thead, .duplicate thead, .correlation-table thead {\n",
+       "    border-top: 0;\n",
+       "    border-bottom: 2px solid #ddd;\n",
+       "}\n",
+       "\n",
+       ".sample td, .duplicate td {\n",
+       "    width: 100%;\n",
+       "} \n",
+       "\n",
+       "/* There is no good solution available to make the divs equal height and then center ... */\n",
+       ".histogram {\n",
+       "    margin-top: 3em;\n",
+       "}\n",
+       "\n",
+       "/* Freq table */\n",
+       "table.freq {\n",
+       "    margin-bottom: 2em;\n",
+       "    border: 0;\n",
+       "}\n",
+       "\n",
+       "table.freq th, table.freq tr, table.freq td {\n",
+       "    border: 0;\n",
+       "    padding: 0;\n",
+       "}\n",
+       "\n",
+       ".freq thead {\n",
+       "    font-weight: 600;\n",
+       "    white-space: nowrap;\n",
+       "    overflow: hidden;\n",
+       "    text-overflow: ellipsis;\n",
+       "\n",
+       "}\n",
+       "\n",
+       "/* Freq mini */\n",
+       ".freq.mini td {\n",
+       "    width: 50%;\n",
+       "    padding: 1px;\n",
+       "    font-size: 12px;\n",
+       "\n",
+       "}\n",
+       "\n",
+       "table.freq.mini {\n",
+       "    width: 100%;\n",
+       "}\n",
+       "\n",
+       ".freq.mini th {\n",
+       "    overflow: hidden;\n",
+       "    text-overflow: ellipsis;\n",
+       "    white-space: nowrap;\n",
+       "    max-width: 5em;\n",
+       "    font-weight: 400;\n",
+       "    text-align: right;\n",
+       "    padding-right: 0.5em;\n",
+       "}\n",
+       "\n",
+       "/* Message classes */\n",
+       ".missing {\n",
+       "    color: #a94442;\n",
+       "}\n",
+       "\n",
+       ".alert, .alert &gt; th, .alert &gt; td {\n",
+       "    color: #a94442;\n",
+       "}\n",
+       "\n",
+       ".ignore {\n",
+       "    opacity: 0.4;\n",
+       "}\n",
+       "\n",
+       "/* Bars in tables */\n",
+       ".freq.table{\n",
+       "    table-layout: fixed;\n",
+       "}\n",
+       "\n",
+       ".freq:not(.mini) tr td:nth-child(1), .freq:not(.mini) tr th:nth-child(1){\n",
+       "    width: auto;\n",
+       "    max-width: none;\n",
+       "\n",
+       "    white-space: nowrap;\n",
+       "    overflow: hidden;\n",
+       "    text-overflow: ellipsis;\n",
+       "}\n",
+       "\n",
+       ".freq:not(.mini) tr td:nth-child(2), .freq:not(.mini) tr td:nth-child(3), .freq:not(.mini) tr th:nth-child(2), .freq:not(.mini) tr th:nth-child(3){\n",
+       "    width: 100px;\n",
+       "    text-align: right;\n",
+       "}\n",
+       ".freq:not(.mini) tr td:nth-child(4), .freq:not(.mini) tr th:nth-child(4){\n",
+       "    width:200px;\n",
+       "}\n",
+       "\n",
+       ".freq .bar {\n",
+       "    float: left;\n",
+       "    width: 0;\n",
+       "    height: 100%;\n",
+       "    line-height: 20px;\n",
+       "    color: #fff;\n",
+       "    text-align: center;\n",
+       "    border-radius: 3px;\n",
+       "    margin-right: 4px;\n",
+       "}\n",
+       "\n",
+       ".other .bar {\n",
+       "    background-color: #999;\n",
+       "}\n",
+       "\n",
+       ".missing .bar {\n",
+       "    background-color: #a94442;\n",
+       "}\n",
+       "\n",
+       ".tooltip-inner {\n",
+       "    width: 100%;\n",
+       "    white-space: nowrap;\n",
+       "    text-align: left;\n",
+       "}\n",
+       "\n",
+       ".extrapadding {\n",
+       "    padding: 2em;\n",
+       "}\n",
+       "\n",
+       ".variable .h4 {\n",
+       "    text-overflow: ellipsis;\n",
+       "    display:inline-block;\n",
+       "    width: calc(90%); /* The trick is here! */\n",
+       "    overflow:hidden;\n",
+       "}\n",
+       "\n",
+       ".variable.ignore .h4{\n",
+       "    text-decoration: line-through;\n",
+       "}\n",
+       "\n",
+       ".table-responsive{\n",
+       "    overflow: scroll;\n",
+       "    width: 100%;\n",
+       "    overflow-y: hidden;\n",
+       "}\n",
+       ".img-responsive{\n",
+       "    max-width: 99%;\n",
+       "    min-width: 99%;\n",
+       "}\n",
+       ".footer-text{\n",
+       "    padding:20px;\n",
+       "}\n",
+       "\n",
+       "table.list-warnings td{\n",
+       "    padding-right:10px;\n",
+       "}\n",
+       "\n",
+       "a.anchor-pos {\n",
+       "    display: block;\n",
+       "    position: relative;\n",
+       "    top: -70px;\n",
+       "    visibility: hidden;\n",
+       "}\n",
+       "\n",
+       "a.anchor-pos-variable{\n",
+       "    /*top: -70px;*/\n",
+       "}\n",
+       "\n",
+       "#sample-container, #duplicate-container {\n",
+       "    overflow: auto;\n",
+       "    width: 100%;\n",
+       "    overflow-y: hidden;\n",
+       "}\n",
+       "\n",
+       "#correlation-table-container {\n",
+       "    max-height: 400px;\n",
+       "    overflow: auto;\n",
+       "}\n",
+       "\n",
+       "#overview-content td, #overview-content th{\n",
+       "    border-top: 0;\n",
+       "    line-height: 1;\n",
+       "}\n",
+       "\n",
+       ".variable-description{\n",
+       "    color: #777;\n",
+       "    font-size: 10pt;\n",
+       "    margin-top: 10px;\n",
+       "    font-style: italic;\n",
+       "}\n",
+       "\n",
+       "select.multiple{\n",
+       "    width: 180px;\n",
+       "    height: 500px;\n",
+       "    margin: 10px 0;\n",
+       "}\n",
+       "\n",
+       ".named-list-item{\n",
+       "    padding: 1em;\n",
+       "}\n",
+       "\n",
+       "/* not printing tabs */\n",
+       "@media print {\n",
+       "    .tab-content &gt; .tab-pane, .collapse {\n",
+       "        display: block !important;\n",
+       "        opacity: 1 !important;\n",
+       "        visibility: visible !important;\n",
+       "        /*page-break-after: always;*/\n",
+       "        page-break-after: right;\n",
+       "        page-break-before: avoid;\n",
+       "    }\n",
+       "\n",
+       "    .nav-pills, .nav-tabs, button[data-toggle=&quot;collapse&quot;], .mini, .col-sm-3 img {\n",
+       "        display:none !important;\n",
+       "    }\n",
+       "\n",
+       "    a[download=&quot;config.yml&quot;]:after {\n",
+       "        content: none !important;\n",
+       "    }\n",
+       "\n",
+       "    .row {\n",
+       "        border: 0 !important;\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       ".text-placeholder {\n",
+       "    display: inline-block;\n",
+       "    background-color: #444;\n",
+       "    height: 12px;\n",
+       "    border-radius: 100px;\n",
+       "    margin: 5px 0;\n",
+       "    min-width: 200px;\n",
+       "    opacity: .1;\n",
+       "}\n",
+       "\n",
+       "    .freq.table-0 .bar {\n",
+       "        background-color: #377eb8;\n",
+       "    }\n",
+       "    .freq.table-1 .bar {\n",
+       "        background-color: #e41a1c;\n",
+       "    }\n",
+       "&lt;/style&gt;&lt;/head&gt;&lt;body&gt;&lt;a class=anchor-pos id=top&gt;&lt;/a&gt;&lt;nav class=&quot;navbar navbar-default navbar-fixed-top&quot;&gt;&lt;div class=container-fluid&gt;&lt;div class=navbar-header&gt;&lt;button type=button class=&quot;navbar-toggle collapsed&quot; data-toggle=collapse data-target=#navbar aria-expanded=false aria-controls=navbar&gt;&lt;span class=sr-only&gt;Toggle navigation&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;/button&gt;&lt;a class=&quot;navbar-brand anchor&quot; href=#top&gt;Pandas Profiling Report&lt;/a&gt;&lt;/div&gt;&lt;div id=navbar class=&quot;navbar-collapse collapse&quot;&gt;&lt;ul class=&quot;nav navbar-nav navbar-right&quot;&gt;&lt;li&gt;&lt;a href=#overview&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=#variables-dropdown&gt;Variables&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=#interactions&gt;Interactions&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=#correlations_tab&gt;Correlations&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=#missing&gt;Missing values&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=#sample&gt;Sample&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&lt;/nav&gt;&lt;div class=content&gt;&lt;div class=container&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=overview&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Overview&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-pills&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#overview-dataset_overview aria-controls=overview-dataset_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-alerts aria-controls=overview-alerts role=tab data-toggle=tab&gt;Alerts &lt;span class=badge&gt;18&lt;/span&gt;&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-reproduction aria-controls=overview-reproduction role=tab data-toggle=tab&gt;Reproduction&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content style=&quot;padding-top: 10px;&quot;&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=overview-dataset_overview&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Dataset statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Number of variables&lt;/th&gt;&lt;td&gt;14&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Number of observations&lt;/th&gt;&lt;td&gt;45726&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells&lt;/th&gt;&lt;td&gt;29682&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells (%)&lt;/th&gt;&lt;td&gt;4.6%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Total size in memory&lt;/th&gt;&lt;td&gt;21.6 MiB&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Average record size in memory&lt;/th&gt;&lt;td&gt;494.8 B&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Variable types&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Categorical&lt;/th&gt;&lt;td&gt;7&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Numeric&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;DateTime&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Boolean&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-alerts&gt;&lt;div class=col-sm-12&gt;&lt;table class=&quot;table table-condensed list-warnings&quot;&gt;&lt;p class=h4&gt;Alerts&lt;/p&gt;&lt;tr style=border-top:0&gt;&lt;td&gt;&lt;a href=#pp_var_5931471079661960421&gt;&lt;code&gt;source&lt;/code&gt;&lt;/a&gt; has constant value &quot;&quot;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-warning&quot;&gt;Constant&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-2651934784186517540&gt;&lt;code&gt;name&lt;/code&gt;&lt;/a&gt; has a high cardinality: 45726 distinct values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;High cardinality&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-2148494336273378825&gt;&lt;code&gt;recclass&lt;/code&gt;&lt;/a&gt; has a high cardinality: 466 distinct values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;High cardinality&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-335464110397029520&gt;&lt;code&gt;GeoLocation&lt;/code&gt;&lt;/a&gt; has a high cardinality: 17100 distinct values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;High cardinality&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_4776885090936946952&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; is highly overall correlated with &lt;code&gt;reclong&lt;/code&gt; and &lt;abbr title=&quot;reclong, reclat_city&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_9210089399670562856&gt;&lt;code&gt;reclong&lt;/code&gt;&lt;/a&gt; is highly overall correlated with &lt;code&gt;reclat&lt;/code&gt; and &lt;abbr title=&quot;reclat, reclat_city&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-4402894416497577258&gt;&lt;code&gt;reclat_city&lt;/code&gt;&lt;/a&gt; is highly overall correlated with &lt;code&gt;reclat&lt;/code&gt; and &lt;abbr title=&quot;reclat, reclong&quot;&gt;1 other fields&lt;/abbr&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-8148293373365161854&gt;&lt;code&gt;nametype&lt;/code&gt;&lt;/a&gt; is highly imbalanced (98.2%)&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Imbalance&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-2849051420897920782&gt;&lt;code&gt;fall&lt;/code&gt;&lt;/a&gt; is highly imbalanced (83.4%)&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Imbalance&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_4776885090936946952&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_9210089399670562856&gt;&lt;code&gt;reclong&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-335464110397029520&gt;&lt;code&gt;GeoLocation&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-4402894416497577258&gt;&lt;code&gt;reclat_city&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_8169294430124068851&gt;&lt;code&gt;mass (g)&lt;/code&gt;&lt;/a&gt; is highly skewed (γ1 = 76.91847245)&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Skewed&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-2651934784186517540&gt;&lt;code&gt;name&lt;/code&gt;&lt;/a&gt; is uniformly distributed&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Uniform&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_-2651934784186517540&gt;&lt;code&gt;name&lt;/code&gt;&lt;/a&gt; has unique values&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Unique&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_4776885090936946952&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; has 6438 (14.1%) zeros&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Zeros&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a href=#pp_var_9210089399670562856&gt;&lt;code&gt;reclong&lt;/code&gt;&lt;/a&gt; has 6214 (13.6%) zeros&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Zeros&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-reproduction&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4&gt;Reproduction&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Analysis started&lt;/th&gt;&lt;td&gt;2023-05-15 15:59:25.626057&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Analysis finished&lt;/th&gt;&lt;td&gt;2023-05-15 15:59:32.498495&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duration&lt;/th&gt;&lt;td&gt;6.87 seconds&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Software version&lt;/th&gt;&lt;td&gt;&lt;a href=https://github.com/ydataai/ydata-profiling&gt;ydata-profiling vv4.1.2&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Download configuration&lt;/th&gt;&lt;td&gt;&lt;a download=config.json 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20%22attribute%22%3A%20%22srcdoc%22%7D%7D%7D&quot;&gt;config.json&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=variables-dropdown&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Variables&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;select name=Variables id=variables-dropdown class=dropdown-toggle&gt;&lt;option value&gt;Select Columns&lt;/option&gt;&lt;option value=name&gt;name&lt;/option&gt;&lt;option value=id&gt;id&lt;/option&gt;&lt;option value=nametype&gt;nametype&lt;/option&gt;&lt;option value=recclass&gt;recclass&lt;/option&gt;&lt;option value=&quot;mass (g)&quot;&gt;mass (g)&lt;/option&gt;&lt;option value=fall&gt;fall&lt;/option&gt;&lt;option value=year&gt;year&lt;/option&gt;&lt;option value=reclat&gt;reclat&lt;/option&gt;&lt;option value=reclong&gt;reclong&lt;/option&gt;&lt;option value=GeoLocation&gt;GeoLocation&lt;/option&gt;&lt;option value=source&gt;source&lt;/option&gt;&lt;option value=boolean&gt;boolean&lt;/option&gt;&lt;option value=mixed&gt;mixed&lt;/option&gt;&lt;option value=reclat_city&gt;reclat_city&lt;/option&gt;&lt;/select&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-2651934784186517540&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=name&gt;&lt;a href=#pp_var_-2651934784186517540&gt;name&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p&gt;&lt;code&gt;HIGH CARDINALITY&lt;/code&gt;&amp;nbsp &lt;code&gt;UNIFORM&lt;/code&gt;&amp;nbsp &lt;code&gt;UNIQUE&lt;/code&gt;&amp;nbsp &lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;45726&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;3.3 MiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; Aachen &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Northwest Africa 7477 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Northwest Africa 7414 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Northwest Africa 742 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Northwest Africa 7428 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;th width=10%&gt; Other values (45721) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 45721&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--2651934784186517540, #minifreqtable-2651934784186517540&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--2651934784186517540 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2651934784186517540bottom--2651934784186517540overview aria-controls=-2651934784186517540bottom--2651934784186517540overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540bottom--2651934784186517540string aria-controls=-2651934784186517540bottom--2651934784186517540string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540bottom--2651934784186517540word aria-controls=-2651934784186517540bottom--2651934784186517540word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540bottom--2651934784186517540characters aria-controls=-2651934784186517540bottom--2651934784186517540characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2651934784186517540bottom--2651934784186517540overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;28&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;25&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;17.78358&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed 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information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;45726 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values 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&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 7428&quot;&gt; Northwest Africa 7428 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 7429&quot;&gt; Northwest Africa 7429 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 743&quot;&gt; Northwest Africa 743 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Northwest Africa 744&quot;&gt; Northwest Africa 744 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; 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&amp;nbsp; &lt;/div&gt; 5.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=africa&gt; africa &lt;/td&gt;&lt;td&gt;4502&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt; 3.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=northwest&gt; northwest &lt;/td&gt;&lt;td&gt;4499&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt; 3.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=hills&gt; hills &lt;/td&gt;&lt;td&gt;3995&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.7%&gt; &amp;nbsp; &lt;/div&gt; 3.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=queen&gt; queen &lt;/td&gt;&lt;td&gt;3445&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.1%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=alexandra&gt; alexandra &lt;/td&gt;&lt;td&gt;3444&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.1%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=mountains&gt; mountains &lt;/td&gt;&lt;td&gt;3004&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt; &amp;nbsp; &lt;/div&gt; 2.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=al&gt; al &lt;/td&gt;&lt;td&gt;2663&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.1%&gt; &amp;nbsp; &lt;/div&gt; 2.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=grove&gt; grove &lt;/td&gt;&lt;td&gt;2496&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.9%&gt; &amp;nbsp; &lt;/div&gt; 2.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (37727)&quot;&gt; Other values (37727) &lt;/td&gt;&lt;td&gt;84870&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 67.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2651934784186517540bottom--2651934784186517540characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2651934784186517540unicode--2651934784186517540characters aria-controls=-2651934784186517540unicode--2651934784186517540characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540unicode--2651934784186517540categories aria-controls=-2651934784186517540unicode--2651934784186517540categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540unicode--2651934784186517540scripts aria-controls=-2651934784186517540unicode--2651934784186517540scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2651934784186517540unicode--2651934784186517540blocks aria-controls=-2651934784186517540unicode--2651934784186517540blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2651934784186517540unicode--2651934784186517540characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:21.4%&gt; &amp;nbsp; &lt;/div&gt; 10.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.2%&gt; &amp;nbsp; &lt;/div&gt; 8.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.7%&gt; &amp;nbsp; &lt;/div&gt; 5.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.1%&gt; &amp;nbsp; &lt;/div&gt; 4.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.2%&gt; &amp;nbsp; &lt;/div&gt; 4.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.7%&gt; &amp;nbsp; &lt;/div&gt; 4.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.6%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.4%&gt; &amp;nbsp; &lt;/div&gt; 3.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.2%&gt; &amp;nbsp; &lt;/div&gt; 3.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.0%&gt; &amp;nbsp; &lt;/div&gt; 3.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (86)&quot;&gt; Other values (86) &lt;/td&gt;&lt;td&gt;378949&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 46.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2651934784186517540unicode--2651934784186517540categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt; Lowercase Letter &lt;/td&gt;&lt;td&gt;440989&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 54.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt; Decimal Number &lt;/td&gt;&lt;td&gt;205415&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:46.6%&gt; 25.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt; Uppercase Letter &lt;/td&gt;&lt;td&gt;84942&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.3%&gt; &amp;nbsp; &lt;/div&gt; 10.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Space Separator&quot;&gt; Space Separator &lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.4%&gt; &amp;nbsp; &lt;/div&gt; 10.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Close Punctuation&quot;&gt; Close Punctuation &lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Open Punctuation&quot;&gt; Open Punctuation &lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Dash Punctuation&quot;&gt; Dash Punctuation &lt;/td&gt;&lt;td&gt;98&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Other Punctuation&quot;&gt; Other Punctuation &lt;/td&gt;&lt;td&gt;96&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Lowercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:81.3%&gt; 16.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:53.9%&gt; 10.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.0%&gt; 8.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:37.0%&gt; &amp;nbsp; &lt;/div&gt; 7.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:36.5%&gt; &amp;nbsp; &lt;/div&gt; 7.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:35.7%&gt; &amp;nbsp; &lt;/div&gt; 7.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:34.6%&gt; &amp;nbsp; &lt;/div&gt; 7.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:34.1%&gt; &amp;nbsp; &lt;/div&gt; 6.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=s&gt; s &lt;/td&gt;&lt;td&gt;20972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:23.5%&gt; &amp;nbsp; &lt;/div&gt; 4.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=m&gt; m &lt;/td&gt;&lt;td&gt;12393&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.9%&gt; &amp;nbsp; &lt;/div&gt; 2.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (39)&quot;&gt; Other values (39) &lt;/td&gt;&lt;td&gt;89386&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Uppercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;14120&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:84.6%&gt; 16.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=M&gt; M &lt;/td&gt;&lt;td&gt;11173&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:67.0%&gt; 13.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt; R &lt;/td&gt;&lt;td&gt;7599&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.5%&gt; 8.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Y&gt; Y &lt;/td&gt;&lt;td&gt;7327&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.9%&gt; 8.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=N&gt; N &lt;/td&gt;&lt;td&gt;5796&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:34.7%&gt; &amp;nbsp; &lt;/div&gt; 6.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt; H &lt;/td&gt;&lt;td&gt;5676&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:34.0%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=G&gt; G &lt;/td&gt;&lt;td&gt;4682&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.1%&gt; &amp;nbsp; &lt;/div&gt; 5.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=L&gt; L &lt;/td&gt;&lt;td&gt;4630&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.8%&gt; &amp;nbsp; &lt;/div&gt; 5.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=D&gt; D &lt;/td&gt;&lt;td&gt;3777&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.6%&gt; &amp;nbsp; &lt;/div&gt; 4.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Q&gt; Q &lt;/td&gt;&lt;td&gt;3478&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.8%&gt; &amp;nbsp; &lt;/div&gt; 4.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (21)&quot;&gt; Other values (21) &lt;/td&gt;&lt;td&gt;16684&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 17.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt; 9 &lt;/td&gt;&lt;td&gt;24444&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:70.0%&gt; 11.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt; 8 &lt;/td&gt;&lt;td&gt;22179&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:63.5%&gt; 10.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;21986&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:62.9%&gt; 10.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;19839&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:56.8%&gt; 9.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;19347&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:55.4%&gt; 9.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;17379&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.7%&gt; 8.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;16001&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.8%&gt; 7.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;14812&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.4%&gt; 7.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;14485&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:41.5%&gt; 7.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Other Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;&#x27;&quot;&gt; &amp;#39; &lt;/td&gt;&lt;td&gt;67&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 69.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;29&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.3%&gt; 30.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Space Separator&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Close Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=)&gt; ) &lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Open Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Dash Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-&gt; - &lt;/td&gt;&lt;td&gt;98&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2651934784186517540unicode--2651934784186517540scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt; Latin &lt;/td&gt;&lt;td&gt;525931&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 64.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Common&gt; Common &lt;/td&gt;&lt;td&gt;287241&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.6%&gt; 35.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Latin&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.1%&gt; 13.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.9%&gt; &amp;nbsp; &lt;/div&gt; 9.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.2%&gt; &amp;nbsp; &lt;/div&gt; 7.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.2%&gt; &amp;nbsp; &lt;/div&gt; 6.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.9%&gt; &amp;nbsp; &lt;/div&gt; 6.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.5%&gt; &amp;nbsp; &lt;/div&gt; 6.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.9%&gt; &amp;nbsp; &lt;/div&gt; 5.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.6%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=s&gt; s &lt;/td&gt;&lt;td&gt;20972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.2%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;14120&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.2%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (70)&quot;&gt; Other values (70) &lt;/td&gt;&lt;td&gt;172601&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 32.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 28.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.1%&gt; 12.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt; 9 &lt;/td&gt;&lt;td&gt;24444&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.2%&gt; &amp;nbsp; &lt;/div&gt; 8.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt; 8 &lt;/td&gt;&lt;td&gt;22179&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.4%&gt; &amp;nbsp; &lt;/div&gt; 7.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;21986&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.1%&gt; &amp;nbsp; &lt;/div&gt; 7.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;19839&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.5%&gt; &amp;nbsp; &lt;/div&gt; 6.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;19347&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:23.9%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;17379&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:21.4%&gt; &amp;nbsp; &lt;/div&gt; 6.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;16001&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.7%&gt; &amp;nbsp; &lt;/div&gt; 5.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;14812&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.3%&gt; &amp;nbsp; &lt;/div&gt; 5.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (6)&quot;&gt; Other values (6) &lt;/td&gt;&lt;td&gt;15269&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.8%&gt; &amp;nbsp; &lt;/div&gt; 5.3% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2651934784186517540unicode--2651934784186517540blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt; ASCII &lt;/td&gt;&lt;td&gt;812688&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 99.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=None&gt; None &lt;/td&gt;&lt;td&gt;484&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:21.4%&gt; &amp;nbsp; &lt;/div&gt; 10.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.2%&gt; &amp;nbsp; &lt;/div&gt; 8.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.7%&gt; &amp;nbsp; &lt;/div&gt; 5.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.1%&gt; &amp;nbsp; &lt;/div&gt; 4.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.2%&gt; &amp;nbsp; &lt;/div&gt; 4.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.7%&gt; &amp;nbsp; &lt;/div&gt; 4.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; 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+       "L 481.848553 167.844084 \n",
+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;g id=patch_56&gt;&lt;path d=&quot;M 57.7 13.726957 \n",
+       "L 481.848553 13.726957 \n",
+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p527871428d&gt;&lt;rect x=57.7 y=13.726957 width=424.148553 height=154.117128 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=50) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-977325935089044966bottom--977325935089044966common_values&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=10&gt; 10 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=370&gt; 370 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=379&gt; 379 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=390&gt; 390 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=392&gt; 392 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=398&gt; 398 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=417&gt; 417 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (45706)&quot;&gt; Other values (45706) &lt;/td&gt;&lt;td&gt;45706&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; &gt; 99.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-977325935089044966bottom--977325935089044966extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-977325935089044966extreme_values--977325935089044966firstn aria-controls=-977325935089044966extreme_values--977325935089044966firstn role=tab data-toggle=tab&gt;Minimum 10 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-977325935089044966extreme_values--977325935089044966lastn aria-controls=-977325935089044966extreme_values--977325935089044966lastn role=tab data-toggle=tab&gt;Maximum 10 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-977325935089044966extreme_values--977325935089044966firstn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt; 8 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt; 9 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=10&gt; 10 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=11&gt; 11 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-977325935089044966extreme_values--977325935089044966lastn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=57458&gt; 57458 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57457&gt; 57457 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57456&gt; 57456 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57455&gt; 57455 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57454&gt; 57454 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57453&gt; 57453 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57436&gt; 57436 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57435&gt; 57435 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57434&gt; 57434 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57433&gt; 57433 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-8148293373365161854&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=nametype&gt;&lt;a href=#pp_var_-8148293373365161854&gt;nametype&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;2.7 MiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; Valid &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 45651&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Relict &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:0.2% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 75 &lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--8148293373365161854, #minifreqtable-8148293373365161854&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--8148293373365161854 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-8148293373365161854bottom--8148293373365161854overview aria-controls=-8148293373365161854bottom--8148293373365161854overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8148293373365161854bottom--8148293373365161854string aria-controls=-8148293373365161854bottom--8148293373365161854string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8148293373365161854bottom--8148293373365161854word aria-controls=-8148293373365161854bottom--8148293373365161854word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8148293373365161854bottom--8148293373365161854characters aria-controls=-8148293373365161854bottom--8148293373365161854characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-8148293373365161854bottom--8148293373365161854overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;6&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;5.0016402&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;228705&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;9&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode categories (click for more information)&quot; 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The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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99.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=relict&gt; relict &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-8148293373365161854bottom--8148293373365161854characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-8148293373365161854unicode--8148293373365161854characters aria-controls=-8148293373365161854unicode--8148293373365161854characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8148293373365161854unicode--8148293373365161854categories aria-controls=-8148293373365161854unicode--8148293373365161854categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8148293373365161854unicode--8148293373365161854scripts aria-controls=-8148293373365161854unicode--8148293373365161854scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-8148293373365161854unicode--8148293373365161854blocks aria-controls=-8148293373365161854unicode--8148293373365161854blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-8148293373365161854unicode--8148293373365161854characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt; V &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt; R &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt; c &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-8148293373365161854unicode--8148293373365161854categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt; Lowercase Letter &lt;/td&gt;&lt;td&gt;182979&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 80.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt; Uppercase Letter &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.0%&gt; &amp;nbsp; &lt;/div&gt; 20.0% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Lowercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 24.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 24.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt; c &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Uppercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=V&gt; V &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 99.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt; R &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-8148293373365161854unicode--8148293373365161854scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt; Latin &lt;/td&gt;&lt;td&gt;228705&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Latin&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt; V &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt; R &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt; c &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-8148293373365161854unicode--8148293373365161854blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt; ASCII &lt;/td&gt;&lt;td&gt;228705&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt; V &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt; 20.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt; R &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt; c &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-2148494336273378825&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=recclass&gt;&lt;a href=#pp_var_-2148494336273378825&gt;recclass&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;466&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;2.6 MiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; L6 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:49.4% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 8287&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; H5 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:42.6% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 7143&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; L5 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:28.6% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 4797&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; H6 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:27.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 4529&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; H4 &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:25.1% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 4211&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;th width=10%&gt; Other values (461) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 16759&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--2148494336273378825, #minifreqtable-2148494336273378825&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--2148494336273378825 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2148494336273378825bottom--2148494336273378825overview aria-controls=-2148494336273378825bottom--2148494336273378825overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825bottom--2148494336273378825string aria-controls=-2148494336273378825bottom--2148494336273378825string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825bottom--2148494336273378825word aria-controls=-2148494336273378825bottom--2148494336273378825word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825bottom--2148494336273378825characters aria-controls=-2148494336273378825bottom--2148494336273378825characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2148494336273378825bottom--2148494336273378825overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;26&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;3.0525303&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;139580&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;62&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;9 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;145 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;L5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;H6&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;EH4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;Acapulcoite&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;L6&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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H4 &lt;/td&gt;&lt;td&gt;4211&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.7%&gt; 9.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=LL5&gt; LL5 &lt;/td&gt;&lt;td&gt;2766&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.1%&gt; &amp;nbsp; &lt;/div&gt; 6.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=LL6&gt; LL6 &lt;/td&gt;&lt;td&gt;2043&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.7%&gt; &amp;nbsp; &lt;/div&gt; 4.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=L4&gt; L4 &lt;/td&gt;&lt;td&gt;1253&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.7%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H4/5&gt; H4/5 &lt;/td&gt;&lt;td&gt;428&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.3%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=CM2&gt; CM2 &lt;/td&gt;&lt;td&gt;416&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.2%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (456)&quot;&gt; 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+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pc8e5c64435&gt;&lt;rect x=63.28 y=10.8 width=429.92 height=168.881052 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; Histogram of lengths of the category &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2148494336273378825bottom--2148494336273378825word&gt;&lt;div class=col-sm-12&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l6&gt; l6 &lt;/td&gt;&lt;td&gt;8341&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:77.9%&gt; 17.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h5&gt; h5 &lt;/td&gt;&lt;td&gt;7165&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:66.9%&gt; 15.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l5&gt; l5 &lt;/td&gt;&lt;td&gt;4818&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.0%&gt; 10.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h6&gt; h6 &lt;/td&gt;&lt;td&gt;4530&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.3%&gt; 9.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h4&gt; h4 &lt;/td&gt;&lt;td&gt;4223&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.4%&gt; &amp;nbsp; &lt;/div&gt; 8.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ll5&gt; ll5 &lt;/td&gt;&lt;td&gt;2766&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.8%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ll6&gt; ll6 &lt;/td&gt;&lt;td&gt;2046&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.1%&gt; &amp;nbsp; &lt;/div&gt; 4.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l4&gt; l4 &lt;/td&gt;&lt;td&gt;1256&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.7%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=iron&gt; iron &lt;/td&gt;&lt;td&gt;1070&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.0%&gt; &amp;nbsp; &lt;/div&gt; 2.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h4/5&gt; h4/5 &lt;/td&gt;&lt;td&gt;428&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.0%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (434)&quot;&gt; Other values (434) &lt;/td&gt;&lt;td&gt;10712&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 22.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2148494336273378825bottom--2148494336273378825characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2148494336273378825unicode--2148494336273378825characters aria-controls=-2148494336273378825unicode--2148494336273378825characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825unicode--2148494336273378825categories aria-controls=-2148494336273378825unicode--2148494336273378825categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825unicode--2148494336273378825scripts aria-controls=-2148494336273378825unicode--2148494336273378825scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2148494336273378825unicode--2148494336273378825blocks aria-controls=-2148494336273378825unicode--2148494336273378825blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2148494336273378825unicode--2148494336273378825characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt; L &lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:80.9%&gt; 20.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt; H &lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:52.3%&gt; 13.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:46.7%&gt; 11.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.9%&gt; 11.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.7%&gt; &amp;nbsp; &lt;/div&gt; 5.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.3%&gt; &amp;nbsp; &lt;/div&gt; 2.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.9%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.4%&gt; &amp;nbsp; &lt;/div&gt; 2.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.5%&gt; &amp;nbsp; &lt;/div&gt; 2.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.3%&gt; &amp;nbsp; &lt;/div&gt; 2.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (52)&quot;&gt; Other values (52) &lt;/td&gt;&lt;td&gt;35177&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2148494336273378825unicode--2148494336273378825categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt; Uppercase Letter &lt;/td&gt;&lt;td&gt;57793&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 41.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt; Decimal Number &lt;/td&gt;&lt;td&gt;44118&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:76.3%&gt; 31.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt; Lowercase Letter &lt;/td&gt;&lt;td&gt;29926&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:51.8%&gt; 21.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Other Punctuation&quot;&gt; Other Punctuation &lt;/td&gt;&lt;td&gt;3293&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.7%&gt; &amp;nbsp; &lt;/div&gt; 2.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Dash Punctuation&quot;&gt; Dash Punctuation &lt;/td&gt;&lt;td&gt;1835&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt; &amp;nbsp; &lt;/div&gt; 1.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Space Separator&quot;&gt; Space Separator &lt;/td&gt;&lt;td&gt;1747&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.0%&gt; &amp;nbsp; &lt;/div&gt; 1.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Math Symbol&quot;&gt; Math Symbol &lt;/td&gt;&lt;td&gt;320&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Open Punctuation&quot;&gt; Open Punctuation &lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Close Punctuation&quot;&gt; Close Punctuation &lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Lowercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:88.1%&gt; 13.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:85.1%&gt; 12.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:81.0%&gt; 12.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:73.8%&gt; 11.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;2520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:55.9%&gt; 8.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;2458&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.5%&gt; 8.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt; c &lt;/td&gt;&lt;td&gt;1767&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.2%&gt; &amp;nbsp; &lt;/div&gt; 5.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt; u &lt;/td&gt;&lt;td&gt;1469&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:32.6%&gt; &amp;nbsp; &lt;/div&gt; 4.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt; a &lt;/td&gt;&lt;td&gt;1409&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:31.3%&gt; &amp;nbsp; &lt;/div&gt; 4.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;1016&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.5%&gt; &amp;nbsp; &lt;/div&gt; 3.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (12)&quot;&gt; Other values (12) &lt;/td&gt;&lt;td&gt;4506&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 15.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Uppercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt; L &lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 49.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt; H &lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.6%&gt; 31.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=I&gt; I &lt;/td&gt;&lt;td&gt;2753&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.7%&gt; &amp;nbsp; &lt;/div&gt; 4.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=C&gt; C &lt;/td&gt;&lt;td&gt;1785&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.3%&gt; &amp;nbsp; &lt;/div&gt; 3.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=E&gt; E &lt;/td&gt;&lt;td&gt;1261&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.4%&gt; &amp;nbsp; &lt;/div&gt; 2.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt; A &lt;/td&gt;&lt;td&gt;985&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt; &amp;nbsp; &lt;/div&gt; 1.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=M&gt; M &lt;/td&gt;&lt;td&gt;913&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt; &amp;nbsp; &lt;/div&gt; 1.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=B&gt; B &lt;/td&gt;&lt;td&gt;754&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.6%&gt; &amp;nbsp; &lt;/div&gt; 1.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=O&gt; O &lt;/td&gt;&lt;td&gt;542&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.9%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt; V &lt;/td&gt;&lt;td&gt;350&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (10)&quot;&gt; Other values (10) &lt;/td&gt;&lt;td&gt;1587&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.6%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 37.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:98.3%&gt; 36.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.2%&gt; 15.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.0%&gt; &amp;nbsp; &lt;/div&gt; 7.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;646&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt; &amp;nbsp; &lt;/div&gt; 1.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;251&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.5%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt; 8 &lt;/td&gt;&lt;td&gt;216&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt; 9 &lt;/td&gt;&lt;td&gt;111&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.7%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;100&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;35&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt; &amp;nbsp; &lt;/div&gt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Other Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=/ &gt; / &lt;/td&gt;&lt;td&gt;1174&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 35.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;1064&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:90.6%&gt; 32.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;1031&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:87.8%&gt; 31.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=?&gt; ? &lt;/td&gt;&lt;td&gt;24&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.0%&gt; &amp;nbsp; &lt;/div&gt; 0.7% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Math Symbol&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=~&gt; ~ &lt;/td&gt;&lt;td&gt;319&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 99.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;&lt;&quot;&gt; &amp;lt; &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Dash Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-&gt; - &lt;/td&gt;&lt;td&gt;1835&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Space Separator&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;1747&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Open Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Close Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=)&gt; ) &lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2148494336273378825unicode--2148494336273378825scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt; Latin &lt;/td&gt;&lt;td&gt;87719&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 62.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Common&gt; Common &lt;/td&gt;&lt;td&gt;51861&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:59.1%&gt; 37.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Latin&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt; L &lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 32.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt; H &lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.6%&gt; 21.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:14.0%&gt; &amp;nbsp; &lt;/div&gt; 4.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.5%&gt; &amp;nbsp; &lt;/div&gt; 4.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.8%&gt; &amp;nbsp; &lt;/div&gt; 4.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.7%&gt; &amp;nbsp; &lt;/div&gt; 3.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=I&gt; I &lt;/td&gt;&lt;td&gt;2753&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.7%&gt; &amp;nbsp; &lt;/div&gt; 3.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;2520&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.9%&gt; &amp;nbsp; &lt;/div&gt; 2.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;2458&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.6%&gt; &amp;nbsp; &lt;/div&gt; 2.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=C&gt; C &lt;/td&gt;&lt;td&gt;1785&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.3%&gt; &amp;nbsp; &lt;/div&gt; 2.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (32)&quot;&gt; Other values (32) &lt;/td&gt;&lt;td&gt;16559&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.2%&gt; 18.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 31.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:98.3%&gt; 31.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.2%&gt; 13.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.0%&gt; &amp;nbsp; &lt;/div&gt; 6.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-&gt; - &lt;/td&gt;&lt;td&gt;1835&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.2%&gt; &amp;nbsp; &lt;/div&gt; 3.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;1747&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.6%&gt; &amp;nbsp; &lt;/div&gt; 3.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=/ &gt; / &lt;/td&gt;&lt;td&gt;1174&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.2%&gt; &amp;nbsp; &lt;/div&gt; 2.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;1064&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.5%&gt; &amp;nbsp; &lt;/div&gt; 2.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;1031&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.3%&gt; &amp;nbsp; &lt;/div&gt; 2.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;646&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt; &amp;nbsp; &lt;/div&gt; 1.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (10)&quot;&gt; Other values (10) &lt;/td&gt;&lt;td&gt;1605&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.8%&gt; &amp;nbsp; &lt;/div&gt; 3.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2148494336273378825unicode--2148494336273378825blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt; ASCII &lt;/td&gt;&lt;td&gt;139580&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt; L &lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:80.9%&gt; 20.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt; H &lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:52.3%&gt; 13.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:46.7%&gt; 11.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.9%&gt; 11.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.7%&gt; &amp;nbsp; &lt;/div&gt; 5.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.3%&gt; &amp;nbsp; &lt;/div&gt; 2.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt; i &lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.9%&gt; &amp;nbsp; &lt;/div&gt; 2.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt; r &lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.4%&gt; &amp;nbsp; &lt;/div&gt; 2.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt; t &lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.5%&gt; &amp;nbsp; &lt;/div&gt; 2.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.3%&gt; &amp;nbsp; &lt;/div&gt; 2.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (52)&quot;&gt; Other values (52) &lt;/td&gt;&lt;td&gt;35177&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_8169294430124068851&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=&quot;mass (g)&quot;&gt;&lt;a href=#pp_var_8169294430124068851&gt;mass (g)&lt;/a&gt;&lt;br&gt;&lt;small&gt;Real number (&amp;Ropf;)&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-4&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;12576&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;27.6%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;131&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;13278.426&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-4&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;60000000&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Zeros&lt;/th&gt;&lt;td&gt;19&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Zeros (%)&lt;/th&gt;&lt;td&gt;&lt; 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+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p9a48406d19&gt;&lt;rect x=63.28 y=10.8 width=429.92 height=159.746708 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=50) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8169294430124068851bottom-8169294430124068851common_values&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1.3&gt; 1.3 &lt;/td&gt;&lt;td&gt;171&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt; &amp;nbsp; &lt;/div&gt; 0.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.2&gt; 1.2 &lt;/td&gt;&lt;td&gt;140&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.4&gt; 1.4 &lt;/td&gt;&lt;td&gt;138&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.1&gt; 2.1 &lt;/td&gt;&lt;td&gt;130&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.4&gt; 2.4 &lt;/td&gt;&lt;td&gt;126&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.6&gt; 1.6 &lt;/td&gt;&lt;td&gt;120&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.5&gt; 0.5 &lt;/td&gt;&lt;td&gt;119&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.1&gt; 1.1 &lt;/td&gt;&lt;td&gt;116&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.8&gt; 3.8 &lt;/td&gt;&lt;td&gt;114&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.5&gt; 1.5 &lt;/td&gt;&lt;td&gt;111&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (12566)&quot;&gt; Other values (12566) &lt;/td&gt;&lt;td&gt;44310&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 96.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt; (Missing) &lt;/td&gt;&lt;td&gt;131&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt; &amp;nbsp; &lt;/div&gt; 0.3% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8169294430124068851bottom-8169294430124068851extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#8169294430124068851extreme_values-8169294430124068851firstn aria-controls=8169294430124068851extreme_values-8169294430124068851firstn role=tab data-toggle=tab&gt;Minimum 10 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8169294430124068851extreme_values-8169294430124068851lastn aria-controls=8169294430124068851extreme_values-8169294430124068851lastn role=tab data-toggle=tab&gt;Maximum 10 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=8169294430124068851extreme_values-8169294430124068851firstn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;19&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.01&gt; 0.01 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.013&gt; 0.013 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.02&gt; 0.02 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.03&gt; 0.03 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.04&gt; 0.04 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.05&gt; 0.05 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.06&gt; 0.06 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.07&gt; 0.07 &lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.8%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.08&gt; 0.08 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8169294430124068851extreme_values-8169294430124068851lastn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=60000000&gt; 60000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=58200000&gt; 58200000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=50000000&gt; 50000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=30000000&gt; 30000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=28000000&gt; 28000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26000000&gt; 26000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=24300000&gt; 24300000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=24000000&gt; 24000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=23000000&gt; 23000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=22000000&gt; 22000000 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-2849051420897920782&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=fall&gt;&lt;a href=#pp_var_-2849051420897920782&gt;fall&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;2.7 MiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; Found &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 44609&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; Fell &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:2.5% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1117 &lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--2849051420897920782, #minifreqtable-2849051420897920782&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--2849051420897920782 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-2849051420897920782bottom--2849051420897920782overview aria-controls=-2849051420897920782bottom--2849051420897920782overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2849051420897920782bottom--2849051420897920782string aria-controls=-2849051420897920782bottom--2849051420897920782string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2849051420897920782bottom--2849051420897920782word aria-controls=-2849051420897920782bottom--2849051420897920782word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-2849051420897920782bottom--2849051420897920782characters aria-controls=-2849051420897920782bottom--2849051420897920782characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-2849051420897920782bottom--2849051420897920782overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;4.9755719&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;227513&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;7&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2849051420897920782unicode--2849051420897920782categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt; Lowercase Letter &lt;/td&gt;&lt;td&gt;181787&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 79.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt; Uppercase Letter &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.2%&gt; &amp;nbsp; &lt;/div&gt; 20.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Lowercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 24.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt; u &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 24.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 24.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 24.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.0%&gt; &amp;nbsp; &lt;/div&gt; 1.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Uppercase Letter&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=F&gt; F &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-2849051420897920782unicode--2849051420897920782scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt; Latin &lt;/td&gt;&lt;td&gt;227513&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Latin&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=F&gt; F &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt; u &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt; 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F &lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 20.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt; o &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt; u &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt; n &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt; d &lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt; 19.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt; l &lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt; e &lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt; 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+       "L 493.2 11.621209 \n",
+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pb310cf6f6b&gt;&lt;rect x=63.28 y=11.621209 width=429.92 height=163.986907 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=50) &lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=4776885090936946952bottom-4776885090936946952common_values&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;6438&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:32.8%&gt; &amp;nbsp; &lt;/div&gt; 14.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-71.5&gt; -71.5 &lt;/td&gt;&lt;td&gt;4761&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.3%&gt; &amp;nbsp; &lt;/div&gt; 10.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-84&gt; -84 &lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.5%&gt; &amp;nbsp; &lt;/div&gt; 6.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72&gt; -72 &lt;/td&gt;&lt;td&gt;1506&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt; &amp;nbsp; &lt;/div&gt; 3.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-79.68333&gt; -79.68333 &lt;/td&gt;&lt;td&gt;1130&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.8%&gt; &amp;nbsp; &lt;/div&gt; 2.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-76.71667&gt; -76.71667 &lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt; &amp;nbsp; &lt;/div&gt; 1.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-76.18333&gt; -76.18333 &lt;/td&gt;&lt;td&gt;539&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.7%&gt; &amp;nbsp; &lt;/div&gt; 1.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-84.21667&gt; -84.21667 &lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.36667&gt; -86.36667 &lt;/td&gt;&lt;td&gt;226&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.71667&gt; -86.71667 &lt;/td&gt;&lt;td&gt;217&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.1%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (12728)&quot;&gt; Other values (12728) &lt;/td&gt;&lt;td&gt;19611&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 42.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt; (Missing) &lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:37.3%&gt; &amp;nbsp; &lt;/div&gt; 16.0% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=4776885090936946952bottom-4776885090936946952extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#4776885090936946952extreme_values-4776885090936946952firstn aria-controls=4776885090936946952extreme_values-4776885090936946952firstn role=tab data-toggle=tab&gt;Minimum 10 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#4776885090936946952extreme_values-4776885090936946952lastn aria-controls=4776885090936946952extreme_values-4776885090936946952lastn role=tab data-toggle=tab&gt;Maximum 10 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=4776885090936946952extreme_values-4776885090936946952firstn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-87.36667&gt; 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&amp;nbsp; &lt;/div&gt; 10.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=168&gt; 168 &lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.3%&gt; &amp;nbsp; &lt;/div&gt; 6.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26&gt; 26 &lt;/td&gt;&lt;td&gt;1506&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.6%&gt; &amp;nbsp; &lt;/div&gt; 3.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.75&gt; 159.75 &lt;/td&gt;&lt;td&gt;657&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.3%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.66667&gt; 159.66667 &lt;/td&gt;&lt;td&gt;637&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=157.16667&gt; 157.16667 &lt;/td&gt;&lt;td&gt;542&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.7%&gt; &amp;nbsp; &lt;/div&gt; 1.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=155.75&gt; 155.75 &lt;/td&gt;&lt;td&gt;473&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=160.5&gt; 160.5 &lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-70&gt; -70 &lt;/td&gt;&lt;td&gt;228&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.1%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (14630)&quot;&gt; Other values (14630) &lt;/td&gt;&lt;td&gt;19866&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 43.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt; (Missing) &lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:36.8%&gt; &amp;nbsp; &lt;/div&gt; 16.0% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=9210089399670562856bottom-9210089399670562856extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#9210089399670562856extreme_values-9210089399670562856firstn aria-controls=9210089399670562856extreme_values-9210089399670562856firstn role=tab data-toggle=tab&gt;Minimum 10 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#9210089399670562856extreme_values-9210089399670562856lastn aria-controls=9210089399670562856extreme_values-9210089399670562856lastn role=tab data-toggle=tab&gt;Maximum 10 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=9210089399670562856extreme_values-9210089399670562856firstn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-165.43333&gt; -165.43333 &lt;/td&gt;&lt;td&gt;9&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:52.9%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-165.11667&gt; -165.11667 &lt;/td&gt;&lt;td&gt;17&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-163.16667&gt; -163.16667 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-162.55&gt; -162.55 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-157.86667&gt; -157.86667 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-157.78333&gt; -157.78333 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-149.5&gt; -149.5 &lt;/td&gt;&lt;td&gt;4&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:23.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-148.55&gt; -148.55 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.8%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-148&gt; -148 &lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.6%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-146.26667&gt; -146.26667 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=9210089399670562856extreme_values-9210089399670562856lastn&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=354.47333&gt; 354.47333 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=178.2&gt; 178.2 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=178.08333&gt; 178.08333 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175.73028&gt; 175.73028 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175.13333&gt; 175.13333 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175&gt; 175 &lt;/td&gt;&lt;td&gt;185&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 0.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=174.50043&gt; 174.50043 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=174.4&gt; 174.4 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=172.7&gt; 172.7 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=172.6&gt; 172.6 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-335464110397029520&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=GeoLocation&gt;&lt;a href=#pp_var_-335464110397029520&gt;GeoLocation&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p&gt;&lt;code&gt;HIGH CARDINALITY&lt;/code&gt;&amp;nbsp &lt;code&gt;MISSING&lt;/code&gt;&amp;nbsp &lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;17100&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;44.5%&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;7315&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;2.9 MiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; (0.0, 0.0) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:27.9% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 6214&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; (-71.5, 35.66667) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:21.4% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 4761&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; (-84.0, 168.0) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:13.7% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 3040&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; (-72.0, 26.0) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:6.8% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1505 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=10%&gt; (-79.68333, 159.75) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:3.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 657 &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;th width=10%&gt; Other values (17095) &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 22234&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--335464110397029520, #minifreqtable-335464110397029520&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--335464110397029520 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-335464110397029520bottom--335464110397029520overview aria-controls=-335464110397029520bottom--335464110397029520overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520bottom--335464110397029520string aria-controls=-335464110397029520bottom--335464110397029520string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520bottom--335464110397029520word aria-controls=-335464110397029520bottom--335464110397029520word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520bottom--335464110397029520characters aria-controls=-335464110397029520bottom--335464110397029520characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-335464110397029520bottom--335464110397029520overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;24&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;22&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;17.304809&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;10&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;664695&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;16&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;6 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;16363 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;42.6%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;(50.775, 6.08333)&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;(56.18333, 10.23333)&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;(54.21667, -113.0)&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;(16.88333, -99.9)&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;(-33.16667, -64.95)&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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(-72.0, 26.0) &lt;/td&gt;&lt;td&gt;1505&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.5%&gt; &amp;nbsp; &lt;/div&gt; 3.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-79.68333, 159.75)&quot;&gt; (-79.68333, 159.75) &lt;/td&gt;&lt;td&gt;657&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.3%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-76.71667, 159.66667)&quot;&gt; (-76.71667, 159.66667) &lt;/td&gt;&lt;td&gt;637&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt; &amp;nbsp; &lt;/div&gt; 1.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-76.18333, 157.16667)&quot;&gt; (-76.18333, 157.16667) &lt;/td&gt;&lt;td&gt;539&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.7%&gt; &amp;nbsp; &lt;/div&gt; 1.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-79.68333, 155.75)&quot;&gt; (-79.68333, 155.75) &lt;/td&gt;&lt;td&gt;473&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt; &amp;nbsp; &lt;/div&gt; 1.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-84.21667, 160.5)&quot;&gt; (-84.21667, 160.5) &lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt; &amp;nbsp; &lt;/div&gt; 0.6% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-86.36667, -70.0)&quot;&gt; (-86.36667, -70.0) &lt;/td&gt;&lt;td&gt;226&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.1%&gt; &amp;nbsp; &lt;/div&gt; 0.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (17090)&quot;&gt; Other values (17090) &lt;/td&gt;&lt;td&gt;20096&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 43.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt; (Missing) &lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:36.4%&gt; &amp;nbsp; &lt;/div&gt; 16.0% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h4 class=indent&gt;Length&lt;/h4&gt;&lt;?xml version=&quot;1.0&quot; 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+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p40d2f5e72a&gt;&lt;rect x=57.7 y=13.48298 width=435.5 height=166.198072 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; Histogram of lengths of the category &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-335464110397029520bottom--335464110397029520word&gt;&lt;div class=col-sm-12&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0.0&gt; 0.0 &lt;/td&gt;&lt;td&gt;12652&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:29.5%&gt; &amp;nbsp; &lt;/div&gt; 16.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=35.66667&gt; 35.66667 &lt;/td&gt;&lt;td&gt;4991&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.6%&gt; &amp;nbsp; &lt;/div&gt; 6.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=71.5&gt; 71.5 &lt;/td&gt;&lt;td&gt;4761&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.1%&gt; &amp;nbsp; &lt;/div&gt; 6.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=84.0&gt; 84.0 &lt;/td&gt;&lt;td&gt;3041&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.1%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=168.0&gt; 168.0 &lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.1%&gt; &amp;nbsp; &lt;/div&gt; 4.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26.0&gt; 26.0 &lt;/td&gt;&lt;td&gt;1512&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt; &amp;nbsp; &lt;/div&gt; 2.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=72.0&gt; 72.0 &lt;/td&gt;&lt;td&gt;1506&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt; &amp;nbsp; &lt;/div&gt; 2.0% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=79.68333&gt; 79.68333 &lt;/td&gt;&lt;td&gt;1130&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.6%&gt; &amp;nbsp; &lt;/div&gt; 1.5% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=76.71667&gt; 76.71667 &lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.6%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.75&gt; 159.75 &lt;/td&gt;&lt;td&gt;657&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.5%&gt; &amp;nbsp; &lt;/div&gt; 0.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (26608)&quot;&gt; Other values (26608) &lt;/td&gt;&lt;td&gt;42852&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 55.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-335464110397029520bottom--335464110397029520characters&gt;&lt;div class=col-sm-12&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-335464110397029520unicode--335464110397029520characters aria-controls=-335464110397029520unicode--335464110397029520characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520unicode--335464110397029520categories aria-controls=-335464110397029520unicode--335464110397029520categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520unicode--335464110397029520scripts aria-controls=-335464110397029520unicode--335464110397029520scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-335464110397029520unicode--335464110397029520blocks aria-controls=-335464110397029520unicode--335464110397029520blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-335464110397029520unicode--335464110397029520characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.8%&gt; 11.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.4%&gt; &amp;nbsp; &lt;/div&gt; 10.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.6%&gt; &amp;nbsp; &lt;/div&gt; 7.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.6%&gt; &amp;nbsp; &lt;/div&gt; 7.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.1%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.9%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.9%&gt; &amp;nbsp; &lt;/div&gt; 6.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (6)&quot;&gt; Other values (6) &lt;/td&gt;&lt;td&gt;171544&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-335464110397029520unicode--335464110397029520categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt; Decimal Number &lt;/td&gt;&lt;td&gt;406756&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 61.2% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Other Punctuation&quot;&gt; Other Punctuation &lt;/td&gt;&lt;td&gt;115233&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.3%&gt; &amp;nbsp; &lt;/div&gt; 17.3% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Open Punctuation&quot;&gt; Open Punctuation &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Space Separator&quot;&gt; Space Separator &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Close Punctuation&quot;&gt; Close Punctuation &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Dash Punctuation&quot;&gt; Dash Punctuation &lt;/td&gt;&lt;td&gt;27473&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.8%&gt; &amp;nbsp; &lt;/div&gt; 4.1% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per category&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Decimal Number&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 16.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:77.7%&gt; 12.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:72.6%&gt; 12.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:66.3%&gt; 11.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:65.8%&gt; 10.9% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:63.3%&gt; 10.5% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt; 8 &lt;/td&gt;&lt;td&gt;32680&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:48.4%&gt; 8.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt; 2 &lt;/td&gt;&lt;td&gt;29923&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.3%&gt; 7.4% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt; 4 &lt;/td&gt;&lt;td&gt;23646&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:35.0%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt; 9 &lt;/td&gt;&lt;td&gt;19411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.7%&gt; &amp;nbsp; &lt;/div&gt; 4.8% &lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Other Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 66.7% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt; 33.3% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Open Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Space Separator&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Close Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=)&gt; ) &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Dash Punctuation&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-&gt; - &lt;/td&gt;&lt;td&gt;27473&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-335464110397029520unicode--335464110397029520scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt; Common &lt;/td&gt;&lt;td&gt;664695&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per script&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;Common&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.8%&gt; 11.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.4%&gt; &amp;nbsp; &lt;/div&gt; 10.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.6%&gt; &amp;nbsp; &lt;/div&gt; 7.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.6%&gt; &amp;nbsp; &lt;/div&gt; 7.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.1%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.9%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.9%&gt; &amp;nbsp; &lt;/div&gt; 6.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (6)&quot;&gt; Other values (6) &lt;/td&gt;&lt;td&gt;171544&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-335464110397029520unicode--335464110397029520blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt; ASCII &lt;/td&gt;&lt;td&gt;664695&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 100.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent character per block&lt;/h4&gt;&lt;div class=row&gt;&lt;div class=col-sm-12&gt;&lt;h5&gt;&lt;em&gt;ASCII&lt;/em&gt;&lt;/h5&gt;&lt;table class=&quot;freq table table-hover table-striped table-0&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt; . &lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.8%&gt; 11.6% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt; 6 &lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.4%&gt; &amp;nbsp; &lt;/div&gt; 10.2% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt; 7 &lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.6%&gt; &amp;nbsp; &lt;/div&gt; 7.9% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt; 0 &lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.6%&gt; &amp;nbsp; &lt;/div&gt; 7.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt; 3 &lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.1%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt; 1 &lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.9%&gt; &amp;nbsp; &lt;/div&gt; 6.7% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt; 5 &lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.9%&gt; &amp;nbsp; &lt;/div&gt; 6.4% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=(&gt; ( &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt; , &lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.4%&gt; &amp;nbsp; &lt;/div&gt; 5.8% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (6)&quot;&gt; Other values (6) &lt;/td&gt;&lt;td&gt;171544&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 25.8% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_5931471079661960421&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-12&gt;&lt;p class=h4 title=source&gt;&lt;a href=#pp_var_5931471079661960421&gt;source&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;2.7 MiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=row id=minifreqtable&gt;&lt;table class=&quot;mini freq table-0&quot;&gt;&lt;tr class&gt;&lt;th width=10%&gt; NASA &lt;/th&gt;&lt;td width=10%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=center data-html=true data-delay=500&gt; 45726&amp;nbsp; &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-5931471079661960421, #minifreqtable5931471079661960421&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-5931471079661960421 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#5931471079661960421bottom-5931471079661960421overview aria-controls=5931471079661960421bottom-5931471079661960421overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#5931471079661960421bottom-5931471079661960421string aria-controls=5931471079661960421bottom-5931471079661960421string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#5931471079661960421bottom-5931471079661960421word aria-controls=5931471079661960421bottom-5931471079661960421word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#5931471079661960421bottom-5931471079661960421characters aria-controls=5931471079661960421bottom-5931471079661960421characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=5931471079661960421bottom-5931471079661960421overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;182904&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode categories (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode categories (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct scripts&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode scripts (click for more information)&quot; href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode scripts (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct blocks&lt;/th&gt;&lt;td&gt;1 &lt;a title=&quot;Unicode blocks (click for more information)&quot; href=https://en.wikipedia.org/wiki/Unicode_block&gt;&lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;Unicode blocks (click for more information)&quot;&gt;?&lt;/span&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Unique&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique&lt;/th&gt;&lt;td&gt;0 &lt;span class=&quot;badge pull-right&quot; style=color:#fff;background-color:#337ab7; title=&quot;The number of unique values (all values that occur exactly once in the dataset).&quot;&gt;?&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Sample&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;1st row&lt;/th&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2nd row&lt;/th&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3rd row&lt;/th&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;4th row&lt;/th&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5th row&lt;/th&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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data-toggle=collapse data-target=&quot;#bottom--7634633449608846309, #minifreqtable-7634633449608846309&quot; aria-expanded=true aria-controls=collapseExample&gt; More details &lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--7634633449608846309 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-7634633449608846309bottom--7634633449608846309overview aria-controls=-7634633449608846309bottom--7634633449608846309overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7634633449608846309bottom--7634633449608846309string aria-controls=-7634633449608846309bottom--7634633449608846309string role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7634633449608846309bottom--7634633449608846309word aria-controls=-7634633449608846309bottom--7634633449608846309word role=tab data-toggle=tab&gt;Words&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7634633449608846309bottom--7634633449608846309characters aria-controls=-7634633449608846309bottom--7634633449608846309characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-7634633449608846309bottom--7634633449608846309overview&gt;&lt;div class=row&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4&gt;Characters and Unicode&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Total characters&lt;/th&gt;&lt;td&gt;45726&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct characters&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Distinct categories&lt;/th&gt;&lt;td&gt;2 &lt;a title=&quot;Unicode categories (click for more information)&quot; 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&amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57.31155131&gt; 57.31155131 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-35.75056886&gt; -35.75056886 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=41.51110154&gt; 41.51110154 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-29.26694654&gt; -29.26694654 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=28.6260409&gt; 28.6260409 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-36.73887961&gt; -36.73887961 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=20.92518768&gt; 20.92518768 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=49.80220637&gt; 49.80220637 &lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt; &amp;nbsp; &lt;/div&gt;&lt; 0.1% &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (38391)&quot;&gt; Other values (38391) &lt;/td&gt;&lt;td&gt;38391&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt; 84.0% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt; (Missing) &lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.1%&gt; &amp;nbsp; &lt;/div&gt; 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0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=72.17659631&gt; 72.17659631 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=71.07652483&gt; 71.07652483 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=70.99613717&gt; 70.99613717 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=70.88236161&gt; 70.88236161 &lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&lt; 0.1% &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=interactions&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Interactions&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; 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+       "&quot; style=&quot;fill: none&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p75f6f71c45&gt;&lt;rect x=144 y=57.6 width=403.2 height=144 /&gt;&lt;/clippath&gt;&lt;clippath id=p59e8d286a1&gt;&lt;rect x=572.4 y=57.6 width=7.2 height=144 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another. &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=sample&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Sample&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#sample-head aria-controls=sample-head role=tab data-toggle=tab&gt;First rows&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#sample-tail aria-controls=sample-tail role=tab data-toggle=tab&gt;Last rows&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=sample-head&gt;&lt;div id=sample-container class=col-sm-12&gt;&lt;table border=1 class=&quot;dataframe sample table table-striped&quot;&gt;&lt;thead&gt;&lt;tr style=&quot;text-align: right;&quot;&gt;&lt;th&gt;&lt;/th&gt;&lt;th&gt;name&lt;/th&gt;&lt;th&gt;id&lt;/th&gt;&lt;th&gt;nametype&lt;/th&gt;&lt;th&gt;recclass&lt;/th&gt;&lt;th&gt;mass 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00:00:00.000001951&lt;/td&gt;&lt;td&gt;56.18333&lt;/td&gt;&lt;td&gt;10.23333&lt;/td&gt;&lt;td&gt;(56.18333, 10.23333)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;False&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;57.311551&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;2&lt;/th&gt;&lt;td&gt;Abee&lt;/td&gt;&lt;td&gt;6&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;EH4&lt;/td&gt;&lt;td&gt;107000.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001952&lt;/td&gt;&lt;td&gt;54.21667&lt;/td&gt;&lt;td&gt;-113.00000&lt;/td&gt;&lt;td&gt;(54.21667, -113.0)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;49.802206&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;3&lt;/th&gt;&lt;td&gt;Acapulco&lt;/td&gt;&lt;td&gt;10&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;Acapulcoite&lt;/td&gt;&lt;td&gt;1914.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 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71.8)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;28.626041&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;6&lt;/th&gt;&lt;td&gt;Adzhi-Bogdo (stone)&lt;/td&gt;&lt;td&gt;390&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;LL3-6&lt;/td&gt;&lt;td&gt;910.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001949&lt;/td&gt;&lt;td&gt;44.83333&lt;/td&gt;&lt;td&gt;95.16667&lt;/td&gt;&lt;td&gt;(44.83333, 95.16667)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;48.243911&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;7&lt;/th&gt;&lt;td&gt;Agen&lt;/td&gt;&lt;td&gt;392&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;H5&lt;/td&gt;&lt;td&gt;30000.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001814&lt;/td&gt;&lt;td&gt;44.21667&lt;/td&gt;&lt;td&gt;0.61667&lt;/td&gt;&lt;td&gt;(44.21667, 0.61667)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;False&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;41.511102&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;8&lt;/th&gt;&lt;td&gt;Aguada&lt;/td&gt;&lt;td&gt;398&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;L6&lt;/td&gt;&lt;td&gt;1620.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001930&lt;/td&gt;&lt;td&gt;-31.60000&lt;/td&gt;&lt;td&gt;-65.23333&lt;/td&gt;&lt;td&gt;(-31.6, -65.23333)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;-35.750569&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;9&lt;/th&gt;&lt;td&gt;Aguila Blanca&lt;/td&gt;&lt;td&gt;417&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;L&lt;/td&gt;&lt;td&gt;1440.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001920&lt;/td&gt;&lt;td&gt;-30.86667&lt;/td&gt;&lt;td&gt;-64.55000&lt;/td&gt;&lt;td&gt;(-30.86667, 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copy&lt;/td&gt;&lt;td&gt;6&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;EH4&lt;/td&gt;&lt;td&gt;107000.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001952&lt;/td&gt;&lt;td&gt;54.21667&lt;/td&gt;&lt;td&gt;-113.00000&lt;/td&gt;&lt;td&gt;(54.21667, -113.0)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;49.802206&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;45719&lt;/th&gt;&lt;td&gt;Acapulco copy&lt;/td&gt;&lt;td&gt;10&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;Acapulcoite&lt;/td&gt;&lt;td&gt;1914.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001976&lt;/td&gt;&lt;td&gt;16.88333&lt;/td&gt;&lt;td&gt;-99.90000&lt;/td&gt;&lt;td&gt;(16.88333, -99.9)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;False&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;20.925188&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;45720&lt;/th&gt;&lt;td&gt;Achiras 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copy&lt;/td&gt;&lt;td&gt;398&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;L6&lt;/td&gt;&lt;td&gt;1620.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001930&lt;/td&gt;&lt;td&gt;-31.60000&lt;/td&gt;&lt;td&gt;-65.23333&lt;/td&gt;&lt;td&gt;(-31.6, -65.23333)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;A&lt;/td&gt;&lt;td&gt;-35.750569&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;45725&lt;/th&gt;&lt;td&gt;Aguila Blanca copy&lt;/td&gt;&lt;td&gt;417&lt;/td&gt;&lt;td&gt;Valid&lt;/td&gt;&lt;td&gt;L&lt;/td&gt;&lt;td&gt;1440.0&lt;/td&gt;&lt;td&gt;Fell&lt;/td&gt;&lt;td&gt;1970-01-01 00:00:00.000001920&lt;/td&gt;&lt;td&gt;-30.86667&lt;/td&gt;&lt;td&gt;-64.55000&lt;/td&gt;&lt;td&gt;(-30.86667, -64.55)&lt;/td&gt;&lt;td&gt;NASA&lt;/td&gt;&lt;td&gt;True&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;-29.266947&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;footer&gt;&lt;div class=container-fluid&gt;&lt;div class=&quot;row center-block footer-text&quot;&gt;&lt;p class=&quot;text-muted text-center&quot;&gt;Report generated by &lt;a href=&quot;https://ydata.ai/?utm_source=opensource&amp;utm_medium=pandasprofiling&amp;utm_campaign=report&quot;&gt;YData&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/footer&gt;&lt;script&gt;\n",
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h.notifyWith(a,[j,f,c]),1&gt;f&amp;&amp;i?c:(h.resolveWith(a,[j]),!1)},j=h.promise({elem:a,props:n.extend({},b),opts:n.extend(!0,{specialEasing:{},easing:n.easing._default},c),originalProperties:b,originalOptions:c,startTime:hb||lb(),duration:c.duration,tweens:[],createTween:function(b,c){var d=n.Tween(a,j.opts,b,c,j.opts.specialEasing[b]||j.opts.easing);return j.tweens.push(d),d},stop:function(b){var c=0,d=b?j.tweens.length:0;if(e)return this;for(e=!0;d&gt;c;c++)j.tweens[c].run(1);return b?(h.notifyWith(a,[j,1,0]),h.resolveWith(a,[j,b])):h.rejectWith(a,[j,b]),this}}),k=j.props;for(pb(k,j.opts.specialEasing);g&gt;f;f++)if(d=qb.prefilters[f].call(j,a,k,j.opts))return n.isFunction(d.stop)&amp;&amp;(n._queueHooks(j.elem,j.opts.queue).stop=n.proxy(d.stop,d)),d;return n.map(k,nb,j),n.isFunction(j.opts.start)&amp;&amp;j.opts.start.call(a,j),n.fx.timer(n.extend(i,{elem:a,anim:j,queue:j.opts.queue})),j.progress(j.opts.progress).done(j.opts.done,j.opts.complete).fail(j.opts.fail).always(j.opts.always)}n.Animation=n.extend(qb,{tweeners:{&quot;*&quot;:[function(a,b){var c=this.createTween(a,b);return X(c.elem,a,U.exec(b),c),c}]},tweener:function(a,b){n.isFunction(a)?(b=a,a=[&quot;*&quot;]):a=a.match(G);for(var c,d=0,e=a.length;e&gt;d;d++)c=a[d],qb.tweeners[c]=qb.tweeners[c]||[],qb.tweeners[c].unshift(b)},prefilters:[ob],prefilter:function(a,b){b?qb.prefilters.unshift(a):qb.prefilters.push(a)}}),n.speed=function(a,b,c){var d=a&amp;&amp;&quot;object&quot;==typeof a?n.extend({},a):{complete:c||!c&amp;&amp;b||n.isFunction(a)&amp;&amp;a,duration:a,easing:c&amp;&amp;b||b&amp;&amp;!n.isFunction(b)&amp;&amp;b};return d.duration=n.fx.off?0:&quot;number&quot;==typeof d.duration?d.duration:d.duration in n.fx.speeds?n.fx.speeds[d.duration]:n.fx.speeds._default,null!=d.queue&amp;&amp;d.queue!==!0||(d.queue=&quot;fx&quot;),d.old=d.complete,d.complete=function(){n.isFunction(d.old)&amp;&amp;d.old.call(this),d.queue&amp;&amp;n.dequeue(this,d.queue)},d},n.fn.extend({fadeTo:function(a,b,c,d){return this.filter(W).css(&quot;opacity&quot;,0).show().end().animate({opacity:b},a,c,d)},animate:function(a,b,c,d){var e=n.isEmptyObject(a),f=n.speed(b,c,d),g=function(){var b=qb(this,n.extend({},a),f);(e||n._data(this,&quot;finish&quot;))&amp;&amp;b.stop(!0)};return g.finish=g,e||f.queue===!1?this.each(g):this.queue(f.queue,g)},stop:function(a,b,c){var d=function(a){var b=a.stop;delete a.stop,b(c)};return&quot;string&quot;!=typeof a&amp;&amp;(c=b,b=a,a=void 0),b&amp;&amp;a!==!1&amp;&amp;this.queue(a||&quot;fx&quot;,[]),this.each(function(){var b=!0,e=null!=a&amp;&amp;a+&quot;queueHooks&quot;,f=n.timers,g=n._data(this);if(e)g[e]&amp;&amp;g[e].stop&amp;&amp;d(g[e]);else for(e in g)g[e]&amp;&amp;g[e].stop&amp;&amp;kb.test(e)&amp;&amp;d(g[e]);for(e=f.length;e--;)f[e].elem!==this||null!=a&amp;&amp;f[e].queue!==a||(f[e].anim.stop(c),b=!1,f.splice(e,1));!b&amp;&amp;c||n.dequeue(this,a)})},finish:function(a){return a!==!1&amp;&amp;(a=a||&quot;fx&quot;),this.each(function(){var b,c=n._data(this),d=c[a+&quot;queue&quot;],e=c[a+&quot;queueHooks&quot;],f=n.timers,g=d?d.length:0;for(c.finish=!0,n.queue(this,a,[]),e&amp;&amp;e.stop&amp;&amp;e.stop.call(this,!0),b=f.length;b--;)f[b].elem===this&amp;&amp;f[b].queue===a&amp;&amp;(f[b].anim.stop(!0),f.splice(b,1));for(b=0;g&gt;b;b++)d[b]&amp;&amp;d[b].finish&amp;&amp;d[b].finish.call(this);delete c.finish})}}),n.each([&quot;toggle&quot;,&quot;show&quot;,&quot;hide&quot;],function(a,b){var c=n.fn[b];n.fn[b]=function(a,d,e){return null==a||&quot;boolean&quot;==typeof 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a,b=d.createElement(&quot;input&quot;),c=d.createElement(&quot;div&quot;),e=d.createElement(&quot;select&quot;),f=e.appendChild(d.createElement(&quot;option&quot;));c=d.createElement(&quot;div&quot;),c.setAttribute(&quot;className&quot;,&quot;t&quot;),c.innerHTML=&quot;  &lt;link/&gt;&lt;table&gt;&lt;/table&gt;&lt;a href=&#x27;/a&#x27;&gt;a&lt;/a&gt;&lt;input type=&#x27;checkbox&#x27;/&gt;&quot;,a=c.getElementsByTagName(&quot;a&quot;)[0],b.setAttribute(&quot;type&quot;,&quot;checkbox&quot;),c.appendChild(b),a=c.getElementsByTagName(&quot;a&quot;)[0],a.style.cssText=&quot;top:1px&quot;,l.getSetAttribute=&quot;t&quot;!==c.className,l.style=/top/.test(a.getAttribute(&quot;style&quot;)),l.hrefNormalized=&quot;/a&quot;===a.getAttribute(&quot;href&quot;),l.checkOn=!!b.value,l.optSelected=f.selected,l.enctype=!!d.createElement(&quot;form&quot;).enctype,e.disabled=!0,l.optDisabled=!f.disabled,b=d.createElement(&quot;input&quot;),b.setAttribute(&quot;value&quot;,&quot;&quot;),l.input=&quot;&quot;===b.getAttribute(&quot;value&quot;),b.value=&quot;t&quot;,b.setAttribute(&quot;type&quot;,&quot;radio&quot;),l.radioValue=&quot;t&quot;===b.value}();var rb=/\\r/g,sb=/[\\x20\\t\\r\\n\\f]+/g;n.fn.extend({val:function(a){var b,c,d,e=this[0];{if(arguments.length)return d=n.isFunction(a),this.each(function(c){var e;1===this.nodeType&amp;&amp;(e=d?a.call(this,c,n(this).val()):a,null==e?e=&quot;&quot;:&quot;number&quot;==typeof e?e+=&quot;&quot;:n.isArray(e)&amp;&amp;(e=n.map(e,function(a){return null==a?&quot;&quot;:a+&quot;&quot;})),b=n.valHooks[this.type]||n.valHooks[this.nodeName.toLowerCase()],b&amp;&amp;&quot;set&quot;in b&amp;&amp;void 0!==b.set(this,e,&quot;value&quot;)||(this.value=e))});if(e)return b=n.valHooks[e.type]||n.valHooks[e.nodeName.toLowerCase()],b&amp;&amp;&quot;get&quot;in b&amp;&amp;void 0!==(c=b.get(e,&quot;value&quot;))?c:(c=e.value,&quot;string&quot;==typeof c?c.replace(rb,&quot;&quot;):null==c?&quot;&quot;:c)}}}),n.extend({valHooks:{option:{get:function(a){var b=n.find.attr(a,&quot;value&quot;);return null!=b?b:n.trim(n.text(a)).replace(sb,&quot; &quot;)}},select:{get:function(a){for(var b,c,d=a.options,e=a.selectedIndex,f=&quot;select-one&quot;===a.type||0&gt;e,g=f?null:[],h=f?e+1:d.length,i=0&gt;e?h:f?e:0;h&gt;i;i++)if(c=d[i],(c.selected||i===e)&amp;&amp;(l.optDisabled?!c.disabled:null===c.getAttribute(&quot;disabled&quot;))&amp;&amp;(!c.parentNode.disabled||!n.nodeName(c.parentNode,&quot;optgroup&quot;))){if(b=n(c).val(),f)return b;g.push(b)}return g},set:function(a,b){var c,d,e=a.options,f=n.makeArray(b),g=e.length;while(g--)if(d=e[g],n.inArray(n.valHooks.option.get(d),f)&gt;-1)try{d.selected=c=!0}catch(h){d.scrollHeight}else d.selected=!1;return c||(a.selectedIndex=-1),e}}}}),n.each([&quot;radio&quot;,&quot;checkbox&quot;],function(){n.valHooks[this]={set:function(a,b){return n.isArray(b)?a.checked=n.inArray(n(a).val(),b)&gt;-1:void 0}},l.checkOn||(n.valHooks[this].get=function(a){return null===a.getAttribute(&quot;value&quot;)?&quot;on&quot;:a.value})});var tb,ub,vb=n.expr.attrHandle,wb=/^(?:checked|selected)$/i,xb=l.getSetAttribute,yb=l.input;n.fn.extend({attr:function(a,b){return Y(this,n.attr,a,b,arguments.length&gt;1)},removeAttr:function(a){return this.each(function(){n.removeAttr(this,a)})}}),n.extend({attr:function(a,b,c){var d,e,f=a.nodeType;if(3!==f&amp;&amp;8!==f&amp;&amp;2!==f)return&quot;undefined&quot;==typeof a.getAttribute?n.prop(a,b,c):(1===f&amp;&amp;n.isXMLDoc(a)||(b=b.toLowerCase(),e=n.attrHooks[b]||(n.expr.match.bool.test(b)?ub:tb)),void 0!==c?null===c?void n.removeAttr(a,b):e&amp;&amp;&quot;set&quot;in e&amp;&amp;void 0!==(d=e.set(a,c,b))?d:(a.setAttribute(b,c+&quot;&quot;),c):e&amp;&amp;&quot;get&quot;in e&amp;&amp;null!==(d=e.get(a,b))?d:(d=n.find.attr(a,b),null==d?void 0:d))},attrHooks:{type:{set:function(a,b){if(!l.radioValue&amp;&amp;&quot;radio&quot;===b&amp;&amp;n.nodeName(a,&quot;input&quot;)){var c=a.value;return a.setAttribute(&quot;type&quot;,b),c&amp;&amp;(a.value=c),b}}}},removeAttr:function(a,b){var c,d,e=0,f=b&amp;&amp;b.match(G);if(f&amp;&amp;1===a.nodeType)while(c=f[e++])d=n.propFix[c]||c,n.expr.match.bool.test(c)?yb&amp;&amp;xb||!wb.test(c)?a[d]=!1:a[n.camelCase(&quot;default-&quot;+c)]=a[d]=!1:n.attr(a,c,&quot;&quot;),a.removeAttribute(xb?c:d)}}),ub={set:function(a,b,c){return b===!1?n.removeAttr(a,c):yb&amp;&amp;xb||!wb.test(c)?a.setAttribute(!xb&amp;&amp;n.propFix[c]||c,c):a[n.camelCase(&quot;default-&quot;+c)]=a[c]=!0,c}},n.each(n.expr.match.bool.source.match(/\\w+/g),function(a,b){var c=vb[b]||n.find.attr;yb&amp;&amp;xb||!wb.test(b)?vb[b]=function(a,b,d){var e,f;return d||(f=vb[b],vb[b]=e,e=null!=c(a,b,d)?b.toLowerCase():null,vb[b]=f),e}:vb[b]=function(a,b,c){return c?void 0:a[n.camelCase(&quot;default-&quot;+b)]?b.toLowerCase():null}}),yb&amp;&amp;xb||(n.attrHooks.value={set:function(a,b,c){return n.nodeName(a,&quot;input&quot;)?void(a.defaultValue=b):tb&amp;&amp;tb.set(a,b,c)}}),xb||(tb={set:function(a,b,c){var d=a.getAttributeNode(c);return d||a.setAttributeNode(d=a.ownerDocument.createAttribute(c)),d.value=b+=&quot;&quot;,&quot;value&quot;===c||b===a.getAttribute(c)?b:void 0}},vb.id=vb.name=vb.coords=function(a,b,c){var d;return c?void 0:(d=a.getAttributeNode(b))&amp;&amp;&quot;&quot;!==d.value?d.value:null},n.valHooks.button={get:function(a,b){var c=a.getAttributeNode(b);return c&amp;&amp;c.specified?c.value:void 0},set:tb.set},n.attrHooks.contenteditable={set:function(a,b,c){tb.set(a,&quot;&quot;===b?!1:b,c)}},n.each([&quot;width&quot;,&quot;height&quot;],function(a,b){n.attrHooks[b]={set:function(a,c){return&quot;&quot;===c?(a.setAttribute(b,&quot;auto&quot;),c):void 0}}})),l.style||(n.attrHooks.style={get:function(a){return a.style.cssText||void 0},set:function(a,b){return a.style.cssText=b+&quot;&quot;}});var zb=/^(?:input|select|textarea|button|object)$/i,Ab=/^(?:a|area)$/i;n.fn.extend({prop:function(a,b){return Y(this,n.prop,a,b,arguments.length&gt;1)},removeProp:function(a){return 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this.options.placement?this.options.placement.call(this,f[0],this.$element[0]):this.options.placement,i=/\\s?auto?\\s?/i,j=i.test(h);j&amp;&amp;(h=h.replace(i,&quot;&quot;)||&quot;top&quot;),f.detach().css({top:0,left:0,display:&quot;block&quot;}).addClass(h).data(&quot;bs.&quot;+this.type,this),this.options.container?f.appendTo(this.options.container):f.insertAfter(this.$element),this.$element.trigger(&quot;inserted.bs.&quot;+this.type);var k=this.getPosition(),l=f[0].offsetWidth,m=f[0].offsetHeight;if(j){var n=h,o=this.getPosition(this.$viewport);h=&quot;bottom&quot;==h&amp;&amp;k.bottom+m&gt;o.bottom?&quot;top&quot;:&quot;top&quot;==h&amp;&amp;k.top-m&lt;o.top?&quot;bottom&quot;:&quot;right&quot;==h&amp;&amp;k.right+l&gt;o.width?&quot;left&quot;:&quot;left&quot;==h&amp;&amp;k.left-l&lt;o.left?&quot;right&quot;:h,f.removeClass(n).addClass(h)}var p=this.getCalculatedOffset(h,k,l,m);this.applyPlacement(p,h);var q=function(){var a=e.hoverState;e.$element.trigger(&quot;shown.bs.&quot;+e.type),e.hoverState=null,&quot;out&quot;==a&amp;&amp;e.leave(e)};a.support.transition&amp;&amp;this.$tip.hasClass(&quot;fade&quot;)?f.one(&quot;bsTransitionEnd&quot;,q).emulateTransitionEnd(c.TRANSITION_DURATION):q()}},c.prototype.applyPlacement=function(b,c){var d=this.tip(),e=d[0].offsetWidth,f=d[0].offsetHeight,g=parseInt(d.css(&quot;margin-top&quot;),10),h=parseInt(d.css(&quot;margin-left&quot;),10);isNaN(g)&amp;&amp;(g=0),isNaN(h)&amp;&amp;(h=0),b.top+=g,b.left+=h,a.offset.setOffset(d[0],a.extend({using:function(a){d.css({top:Math.round(a.top),left:Math.round(a.left)})}},b),0),d.addClass(&quot;in&quot;);var i=d[0].offsetWidth,j=d[0].offsetHeight;&quot;top&quot;==c&amp;&amp;j!=f&amp;&amp;(b.top=b.top+f-j);var k=this.getViewportAdjustedDelta(c,b,i,j);k.left?b.left+=k.left:b.top+=k.top;var l=/top|bottom/.test(c),m=l?2*k.left-e+i:2*k.top-f+j,n=l?&quot;offsetWidth&quot;:&quot;offsetHeight&quot;;d.offset(b),this.replaceArrow(m,d[0][n],l)},c.prototype.replaceArrow=function(a,b,c){this.arrow().css(c?&quot;left&quot;:&quot;top&quot;,50*(1-a/b)+&quot;%&quot;).css(c?&quot;top&quot;:&quot;left&quot;,&quot;&quot;)},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle();a.find(&quot;.tooltip-inner&quot;)[this.options.html?&quot;html&quot;:&quot;text&quot;](b),a.removeClass(&quot;fade in top bottom left right&quot;)},c.prototype.hide=function(b){function d(){&quot;in&quot;!=e.hoverState&amp;&amp;f.detach(),e.$element&amp;&amp;e.$element.removeAttr(&quot;aria-describedby&quot;).trigger(&quot;hidden.bs.&quot;+e.type),b&amp;&amp;b()}var e=this,f=a(this.$tip),g=a.Event(&quot;hide.bs.&quot;+this.type);if(this.$element.trigger(g),!g.isDefaultPrevented())return f.removeClass(&quot;in&quot;),a.support.transition&amp;&amp;f.hasClass(&quot;fade&quot;)?f.one(&quot;bsTransitionEnd&quot;,d).emulateTransitionEnd(c.TRANSITION_DURATION):d(),this.hoverState=null,this},c.prototype.fixTitle=function(){var a=this.$element;(a.attr(&quot;title&quot;)||&quot;string&quot;!=typeof a.attr(&quot;data-original-title&quot;))&amp;&amp;a.attr(&quot;data-original-title&quot;,a.attr(&quot;title&quot;)||&quot;&quot;).attr(&quot;title&quot;,&quot;&quot;)},c.prototype.hasContent=function(){return this.getTitle()},c.prototype.getPosition=function(b){b=b||this.$element;var c=b[0],d=&quot;BODY&quot;==c.tagName,e=c.getBoundingClientRect();null==e.width&amp;&amp;(e=a.extend({},e,{width:e.right-e.left,height:e.bottom-e.top}));var f=window.SVGElement&amp;&amp;c instanceof window.SVGElement,g=d?{top:0,left:0}:f?null:b.offset(),h={scroll:d?document.documentElement.scrollTop||document.body.scrollTop:b.scrollTop()},i=d?{width:a(window).width(),height:a(window).height()}:null;return a.extend({},e,h,i,g)},c.prototype.getCalculatedOffset=function(a,b,c,d){return&quot;bottom&quot;==a?{top:b.top+b.height,left:b.left+b.width/2-c/2}:&quot;top&quot;==a?{top:b.top-d,left:b.left+b.width/2-c/2}:&quot;left&quot;==a?{top:b.top+b.height/2-d/2,left:b.left-c}:{top:b.top+b.height/2-d/2,left:b.left+b.width}},c.prototype.getViewportAdjustedDelta=function(a,b,c,d){var e={top:0,left:0};if(!this.$viewport)return e;var f=this.options.viewport&amp;&amp;this.options.viewport.padding||0,g=this.getPosition(this.$viewport);if(/right|left/.test(a)){var h=b.top-f-g.scroll,i=b.top+f-g.scroll+d;h&lt;g.top?e.top=g.top-h:i&gt;g.top+g.height&amp;&amp;(e.top=g.top+g.height-i)}else{var j=b.left-f,k=b.left+f+c;j&lt;g.left?e.left=g.left-j:k&gt;g.right&amp;&amp;(e.left=g.left+g.width-k)}return e},c.prototype.getTitle=function(){var a,b=this.$element,c=this.options;return a=b.attr(&quot;data-original-title&quot;)||(&quot;function&quot;==typeof c.title?c.title.call(b[0]):c.title)},c.prototype.getUID=function(a){do a+=~~(1e6*Math.random());while(document.getElementById(a));return a},c.prototype.tip=function(){if(!this.$tip&amp;&amp;(this.$tip=a(this.options.template),1!=this.$tip.length))throw new Error(this.type+&quot; `template` option must consist of exactly 1 top-level element!&quot;);return this.$tip},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(&quot;.tooltip-arrow&quot;)},c.prototype.enable=function(){this.enabled=!0},c.prototype.disable=function(){this.enabled=!1},c.prototype.toggleEnabled=function(){this.enabled=!this.enabled},c.prototype.toggle=function(b){var c=this;b&amp;&amp;(c=a(b.currentTarget).data(&quot;bs.&quot;+this.type),c||(c=new this.constructor(b.currentTarget,this.getDelegateOptions()),a(b.currentTarget).data(&quot;bs.&quot;+this.type,c))),b?(c.inState.click=!c.inState.click,c.isInStateTrue()?c.enter(c):c.leave(c)):c.tip().hasClass(&quot;in&quot;)?c.leave(c):c.enter(c)},c.prototype.destroy=function(){var a=this;clearTimeout(this.timeout),this.hide(function(){a.$element.off(&quot;.&quot;+a.type).removeData(&quot;bs.&quot;+a.type),a.$tip&amp;&amp;a.$tip.detach(),a.$tip=null,a.$arrow=null,a.$viewport=null,a.$element=null})};var d=a.fn.tooltip;a.fn.tooltip=b,a.fn.tooltip.Constructor=c,a.fn.tooltip.noConflict=function(){return a.fn.tooltip=d,this}}(jQuery),+function(a){&quot;use strict&quot;;function b(b){return this.each(function(){var d=a(this),e=d.data(&quot;bs.popover&quot;),f=&quot;object&quot;==typeof b&amp;&amp;b;!e&amp;&amp;/destroy|hide/.test(b)||(e||d.data(&quot;bs.popover&quot;,e=new c(this,f)),&quot;string&quot;==typeof b&amp;&amp;e[b]())})}var c=function(a,b){this.init(&quot;popover&quot;,a,b)};if(!a.fn.tooltip)throw new Error(&quot;Popover requires tooltip.js&quot;);c.VERSION=&quot;3.3.7&quot;,c.DEFAULTS=a.extend({},a.fn.tooltip.Constructor.DEFAULTS,{placement:&quot;right&quot;,trigger:&quot;click&quot;,content:&quot;&quot;,template:&#x27;&lt;div class=&quot;popover&quot; role=&quot;tooltip&quot;&gt;&lt;div class=&quot;arrow&quot;&gt;&lt;/div&gt;&lt;h3 class=&quot;popover-title&quot;&gt;&lt;/h3&gt;&lt;div class=&quot;popover-content&quot;&gt;&lt;/div&gt;&lt;/div&gt;&#x27;}),c.prototype=a.extend({},a.fn.tooltip.Constructor.prototype),c.prototype.constructor=c,c.prototype.getDefaults=function(){return c.DEFAULTS},c.prototype.setContent=function(){var a=this.tip(),b=this.getTitle(),c=this.getContent();a.find(&quot;.popover-title&quot;)[this.options.html?&quot;html&quot;:&quot;text&quot;](b),a.find(&quot;.popover-content&quot;).children().detach().end()[this.options.html?&quot;string&quot;==typeof c?&quot;html&quot;:&quot;append&quot;:&quot;text&quot;](c),a.removeClass(&quot;fade top bottom left right in&quot;),a.find(&quot;.popover-title&quot;).html()||a.find(&quot;.popover-title&quot;).hide()},c.prototype.hasContent=function(){return this.getTitle()||this.getContent()},c.prototype.getContent=function(){var a=this.$element,b=this.options;return a.attr(&quot;data-content&quot;)||(&quot;function&quot;==typeof b.content?b.content.call(a[0]):b.content)},c.prototype.arrow=function(){return this.$arrow=this.$arrow||this.tip().find(&quot;.arrow&quot;)};var d=a.fn.popover;a.fn.popover=b,a.fn.popover.Constructor=c,a.fn.popover.noConflict=function(){return a.fn.popover=d,this}}(jQuery),+function(a){&quot;use strict&quot;;function b(c,d){this.$body=a(document.body),this.$scrollElement=a(a(c).is(document.body)?window:c),this.options=a.extend({},b.DEFAULTS,d),this.selector=(this.options.target||&quot;&quot;)+&quot; .nav li &gt; a&quot;,this.offsets=[],this.targets=[],this.activeTarget=null,this.scrollHeight=0,this.$scrollElement.on(&quot;scroll.bs.scrollspy&quot;,a.proxy(this.process,this)),this.refresh(),this.process()}function c(c){return this.each(function(){var d=a(this),e=d.data(&quot;bs.scrollspy&quot;),f=&quot;object&quot;==typeof c&amp;&amp;c;e||d.data(&quot;bs.scrollspy&quot;,e=new b(this,f)),&quot;string&quot;==typeof c&amp;&amp;e[c]()})}b.VERSION=&quot;3.3.7&quot;,b.DEFAULTS={offset:10},b.prototype.getScrollHeight=function(){return this.$scrollElement[0].scrollHeight||Math.max(this.$body[0].scrollHeight,document.documentElement.scrollHeight)},b.prototype.refresh=function(){var b=this,c=&quot;offset&quot;,d=0;this.offsets=[],this.targets=[],this.scrollHeight=this.getScrollHeight(),a.isWindow(this.$scrollElement[0])||(c=&quot;position&quot;,d=this.$scrollElement.scrollTop()),this.$body.find(this.selector).map(function(){var b=a(this),e=b.data(&quot;target&quot;)||b.attr(&quot;href&quot;),f=/^#./.test(e)&amp;&amp;a(e);return f&amp;&amp;f.length&amp;&amp;f.is(&quot;:visible&quot;)&amp;&amp;[[f[c]().top+d,e]]||null}).sort(function(a,b){return a[0]-b[0]}).each(function(){b.offsets.push(this[0]),b.targets.push(this[1])})},b.prototype.process=function(){var a,b=this.$scrollElement.scrollTop()+this.options.offset,c=this.getScrollHeight(),d=this.options.offset+c-this.$scrollElement.height(),e=this.offsets,f=this.targets,g=this.activeTarget;if(this.scrollHeight!=c&amp;&amp;this.refresh(),b&gt;=d)return g!=(a=f[f.length-1])&amp;&amp;this.activate(a);if(g&amp;&amp;b&lt;e[0])return this.activeTarget=null,this.clear();for(a=e.length;a--;)g!=f[a]&amp;&amp;b&gt;=e[a]&amp;&amp;(void 0===e[a+1]||b&lt;e[a+1])&amp;&amp;this.activate(f[a])},b.prototype.activate=function(b){\n",
+       "this.activeTarget=b,this.clear();var c=this.selector+&#x27;[data-target=&quot;&#x27;+b+&#x27;&quot;],&#x27;+this.selector+&#x27;[href=&quot;&#x27;+b+&#x27;&quot;]&#x27;,d=a(c).parents(&quot;li&quot;).addClass(&quot;active&quot;);d.parent(&quot;.dropdown-menu&quot;).length&amp;&amp;(d=d.closest(&quot;li.dropdown&quot;).addClass(&quot;active&quot;)),d.trigger(&quot;activate.bs.scrollspy&quot;)},b.prototype.clear=function(){a(this.selector).parentsUntil(this.options.target,&quot;.active&quot;).removeClass(&quot;active&quot;)};var d=a.fn.scrollspy;a.fn.scrollspy=c,a.fn.scrollspy.Constructor=b,a.fn.scrollspy.noConflict=function(){return a.fn.scrollspy=d,this},a(window).on(&quot;load.bs.scrollspy.data-api&quot;,function(){a(&#x27;[data-spy=&quot;scroll&quot;]&#x27;).each(function(){var b=a(this);c.call(b,b.data())})})}(jQuery),+function(a){&quot;use strict&quot;;function b(b){return this.each(function(){var d=a(this),e=d.data(&quot;bs.tab&quot;);e||d.data(&quot;bs.tab&quot;,e=new c(this)),&quot;string&quot;==typeof b&amp;&amp;e[b]()})}var c=function(b){this.element=a(b)};c.VERSION=&quot;3.3.7&quot;,c.TRANSITION_DURATION=150,c.prototype.show=function(){var b=this.element,c=b.closest(&quot;ul:not(.dropdown-menu)&quot;),d=b.data(&quot;target&quot;);if(d||(d=b.attr(&quot;href&quot;),d=d&amp;&amp;d.replace(/.*(?=#[^\\s]*$)/,&quot;&quot;)),!b.parent(&quot;li&quot;).hasClass(&quot;active&quot;)){var e=c.find(&quot;.active:last a&quot;),f=a.Event(&quot;hide.bs.tab&quot;,{relatedTarget:b[0]}),g=a.Event(&quot;show.bs.tab&quot;,{relatedTarget:e[0]});if(e.trigger(f),b.trigger(g),!g.isDefaultPrevented()&amp;&amp;!f.isDefaultPrevented()){var h=a(d);this.activate(b.closest(&quot;li&quot;),c),this.activate(h,h.parent(),function(){e.trigger({type:&quot;hidden.bs.tab&quot;,relatedTarget:b[0]}),b.trigger({type:&quot;shown.bs.tab&quot;,relatedTarget:e[0]})})}}},c.prototype.activate=function(b,d,e){function f(){g.removeClass(&quot;active&quot;).find(&quot;&gt; 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       &lt;/script&gt;&lt;script&gt;\n",
+       "$(function () {\n",
+       "    $(&#x27;[data-toggle=&quot;tooltip&quot;]&#x27;).tooltip();\n",
+       "});\n",
+       "\n",
+       "$(&quot;a&quot;).not(&quot;[href^=&#x27;#&#x27;]&quot;).attr(&#x27;target&#x27;, &#x27;_blank&#x27;);\n",
+       "\n",
+       "$(&quot;a[href^=&#x27;#&#x27;]&quot;).not(&quot;[role=&#x27;tab&#x27;]&quot;).on(&#x27;click&#x27;, function (e) {\n",
+       "\n",
+       "    // prevent default anchor click behavior\n",
+       "    e.preventDefault();\n",
+       "\n",
+       "    // store hash\n",
+       "    var hash = this.hash;\n",
+       "\n",
+       "    // animate\n",
+       "    $(&#x27;html, body&#x27;).animate({\n",
+       "        scrollTop: $(hash).offset().top\n",
+       "    }, 300, function () {\n",
+       "\n",
+       "        // when done, add hash to url\n",
+       "        // (default click behaviour)\n",
+       "        window.location.hash = hash;\n",
+       "    });\n",
+       "\n",
+       "});\n",
+       "\n",
+       "$(&quot;select#variables-dropdown&quot;).on(&quot;change&quot;, function (e) {\n",
+       "    var searchText = $(&quot;select#variables-dropdown&quot;).val().toLowerCase();\n",
+       "    var variables = $(&quot;.variable&quot;);\n",
+       "    variables.each(function (index) {\n",
+       "        var isMatch = $(this.firstChild.firstChild).attr(&quot;title&quot;).toLowerCase() == (searchText);\n",
+       "        if(searchText == &quot;&quot;){isMatch = true};\n",
+       "        $(this).parent().toggle(isMatch);\n",
+       "    });\n",
+       "});        &lt;/script&gt;&lt;/body&gt;&lt;/html&gt;\" frameborder=\"0\" allowfullscreen></iframe>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "profile_report = df.profile_report(explorative=True, html={'style': {'full_width': True}})\n",
+    "profile_report"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Notebook Widgets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Render widgets:   0%|          | 0/1 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0ca05d83b64d42868a120f1cff7485f7",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "VBox(children=(Tab(children=(Tab(children=(GridBox(children=(VBox(children=(GridspecLayout(children=(HTML(valu…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "profile_report.to_widgets()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/meteorites.ipynb b/meteorites.ipynb
new file mode 100644
index 00000000..81f2133e
--- /dev/null
+++ b/meteorites.ipynb
@@ -0,0 +1,283 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Note**: This exercise is adapted from the original [here](https://github.com/pandas-profiling/pandas-profiling/blob/master/examples/meteorites/meteorites.ipynb). As of September 2020 if you install [pandas_profiling on conda](https://anaconda.org/conda-forge/pandas-profiling) you might get an old version (1.41) as it seems for this package some channels on conda are a bit older then the latest version on [pypi](https://pypi.org/project/pandas-profiling/) (2.9.0 as of September 2020). To be super clear you can see the exact enviornment and library versions used to run this exercise in the Pipefile (see [pipenv](https://pipenv-fork.readthedocs.io/en/latest/) for more details) of this example [here](https://github.com/andrewm4894/pandas-profiling/blob/master/Pipfile)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Pandas Profiling: NASA Meteorites example\n",
+    "Source of data: https://data.nasa.gov/Space-Science/Meteorite-Landings/gh4g-9sfh"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The autoreload instruction reloads modules automatically before code execution, which is helpful for the update below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Make sure that we have the latest version of pandas-profiling."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# uncomment and run below if you need to pip install the pandas-profiling library\n",
+    "#import sys\n",
+    "#!{sys.executable} -m pip install -U pandas-profiling==2.9.0\n",
+    "#!jupyter nbextension enable --py widgetsnbextension"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You might want to restart the kernel now."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Import libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "\n",
+    "import requests\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "import pandas_profiling\n",
+    "from pandas_profiling.utils.cache import cache_file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load and prepare example dataset\n",
+    "We add some fake variables for illustrating pandas-profiling capabilities"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "file_name = cache_file(\n",
+    "    \"meteorites.csv\",\n",
+    "    \"https://data.nasa.gov/api/views/gh4g-9sfh/rows.csv?accessType=DOWNLOAD\",\n",
+    ")\n",
+    "    \n",
+    "df = pd.read_csv(file_name)\n",
+    "    \n",
+    "# Note: Pandas does not support dates before 1880, so we ignore these for this analysis\n",
+    "df['year'] = pd.to_datetime(df['year'], errors='coerce')\n",
+    "\n",
+    "# Example: Constant variable\n",
+    "df['source'] = \"NASA\"\n",
+    "\n",
+    "# Example: Boolean variable\n",
+    "df['boolean'] = np.random.choice([True, False], df.shape[0])\n",
+    "\n",
+    "# Example: Mixed with base types\n",
+    "df['mixed'] = np.random.choice([1, \"A\"], df.shape[0])\n",
+    "\n",
+    "# Example: Highly correlated variables\n",
+    "df['reclat_city'] = df['reclat'] + np.random.normal(scale=5,size=(len(df)))\n",
+    "\n",
+    "# Example: Duplicate observations\n",
+    "duplicates_to_add = pd.DataFrame(df.iloc[0:10])\n",
+    "duplicates_to_add[u'name'] = duplicates_to_add[u'name'] + \" copy\"\n",
+    "\n",
+    "df = df.append(duplicates_to_add, ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Inline report without saving object"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<IPython.core.display.HTML object>",
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1em;\n}\n\n.center-img {\n    margin-left: auto !important;\n    margin-right: auto !important;\n    display: block;\n}\n\n/* Table example_values */\ntable.example_values {\n    border: 0;\n}\n\n.example_values th {\n    border: 0;\n    padding: 0;\n    color: #555;\n    font-weight: 600;\n}\n\n.example_values tr, .example_values td {\n    border: 0;\n    padding: 0;\n    color: #555;\n}\n\n/* STATS */\ntable.stats, table.sample, table.duplicate{\n    border: 0;\n}\n\n.stats tr, .sample tr, .duplicate tr {\n    border: 0;\n}\n\n.stats th, .stats td{\n    color: #555;\n    border: 0;\n}\n\n.stats th {\n    padding: 0 2em 0 0;\n    font-weight: 600;\n}\n\n.stats td {\n    padding: 1px;\n}\n\n\n/* Sample table */\ntable.sample, table.duplicate{\n    margin-bottom: 2em;\n    margin-left: 1em;\n}\n\n.sample td, .sample th, .duplicate td, .duplicate th {\n    padding: 0.5em;\n    white-space: nowrap;\n    border: 0;\n\n}\n\n.sample thead, .duplicate thead {\n    border-top: 0;\n    border-bottom: 2px solid #ddd;\n}\n\n.sample td, .duplicate td {\n    width: 100%;\n}\n\n\n/* There is no good solution available to make the divs equal height and then center ... */\n.histogram {\n    margin-top: 3em;\n}\n\n/* Freq table */\ntable.freq {\n    margin-bottom: 2em;\n    border: 0;\n}\n\ntable.freq th, table.freq tr, table.freq td {\n    border: 0;\n    padding: 0;\n}\n\n.freq thead {\n    font-weight: 600;\n    white-space: nowrap;\n    overflow: hidden;\n    text-overflow: ellipsis;\n\n}\n\n/* Freq mini */\n.freq.mini td {\n    width: 50%;\n    padding: 1px;\n    font-size: 12px;\n\n}\n\ntable.freq.mini {\n    width: 100%;\n}\n\n.freq.mini th {\n    overflow: hidden;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n    max-width: 5em;\n    font-weight: 400;\n    text-align: right;\n    padding-right: 0.5em;\n}\n\n/* Message classes */\n.missing {\n    color: #a94442;\n}\n\n.alert, .alert &gt; th, .alert &gt; td {\n    color: #a94442;\n}\n\n.ignore {\n    opacity: 0.4;\n}\n\n/* Bars in tables */\n.freq.table{\n    table-layout: fixed;\n}\n\n.freq:not(.mini) tr td:nth-child(1), .freq:not(.mini) tr th:nth-child(1){\n    width: auto;\n    max-width: none;\n\n    white-space: nowrap;\n    overflow: hidden;\n    text-overflow: ellipsis;\n}\n\n.freq:not(.mini) tr td:nth-child(2), .freq:not(.mini) tr td:nth-child(3), .freq:not(.mini) tr th:nth-child(2), .freq:not(.mini) tr th:nth-child(3){\n    width: 100px;\n    text-align: right;\n}\n.freq:not(.mini) tr td:nth-child(4), .freq:not(.mini) tr th:nth-child(4){\n    width:200px;\n}\n\n.freq .bar {\n    float: left;\n    width: 0;\n    height: 100%;\n    line-height: 20px;\n    color: #fff;\n    text-align: center;\n    background-color: #337ab7;\n    border-radius: 3px;\n    margin-right: 4px;\n}\n\n.other .bar {\n    background-color: #999;\n}\n\n.missing .bar {\n    background-color: #a94442;\n}\n\n.tooltip-inner {\n    width: 100%;\n    white-space: nowrap;\n    text-align: left;\n}\n\n.extrapadding {\n    padding: 2em;\n}\n\n.variable .h4 {\n    text-overflow: ellipsis;\n    display:inline-block;\n    width: calc(90%); /* The trick is here! */\n    overflow:hidden;\n}\n\n.variable.ignore .h4{\n    text-decoration: line-through;\n}\n\n.table-responsive{\n    overflow: scroll;\n    width: 100%;\n    overflow-y: hidden;\n}\n.img-responsive{\n    max-width: 99%;\n}\n.footer-text{\n    padding:20px;\n}\n\ntable.list-warnings td{\n    padding-right:10px;\n}\n\na.anchor-pos {\n    display: block;\n    position: relative;\n    top: -70px;\n    visibility: hidden;\n}\n\na.anchor-pos-variable{\n    /*top: -70px;*/\n}\n\n#sample-container, #duplicate-container{\n    overflow: auto;\n    width: 100%;\n    overflow-y: hidden;\n}\n\n#overview-content td, #overview-content th{\n    border-top: 0;\n    line-height: 1;\n}\n\n.variable-description{\n    color: #777;\n    font-size: 10pt;\n    margin-top: 10px;\n    font-style: italic;\n}\n\nselect.multiple{\n    width: 180px;\n    height: 500px;\n    margin: 10px 0;\n}\n\n.named-list-item{\n    padding: 1em;\n}\n\n/* not printing tabs */\n@media print {\n    .tab-content &gt; .tab-pane, .collapse {\n        display: block !important;\n        opacity: 1 !important;\n        visibility: visible !important;\n        /*page-break-after: always;*/\n        page-break-after: right;\n        page-break-before: avoid;\n    }\n\n    .nav-pills, .nav-tabs, button[data-toggle=&quot;collapse&quot;], .mini, .col-sm-3 img {\n        display:none !important;\n    }\n\n    a[download=&quot;config.yml&quot;]:after {\n        content: none !important;\n    }\n\n    .row {\n        border: 0 !important;\n    }\n}&lt;/style&gt;&lt;/head&gt;&lt;body&gt;&lt;a class=anchor-pos id=top&gt;&lt;/a&gt;&lt;nav class=&quot;navbar navbar-default navbar-fixed-top&quot;&gt;&lt;div class=container-fluid&gt;&lt;div class=navbar-header&gt;&lt;button type=button class=&quot;navbar-toggle collapsed&quot; data-toggle=collapse data-target=#navbar aria-expanded=false aria-controls=navbar&gt;&lt;span class=sr-only&gt;Toggle navigation&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;/button&gt;&lt;a class=&quot;navbar-brand anchor&quot; href=#top&gt;Pandas Profiling Report&lt;/a&gt;&lt;/div&gt;&lt;div id=navbar class=&quot;navbar-collapse collapse&quot;&gt;&lt;ul class=&quot;nav navbar-nav navbar-right&quot;&gt;&lt;li&gt;&lt;a class=anchor href=#overview&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#variables&gt;Variables&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#interactions&gt;Interactions&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#correlations&gt;Correlations&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#missing&gt;Missing values&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#sample&gt;Sample&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&lt;/nav&gt;&lt;div class=content&gt;&lt;div class=container-fluid&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=overview&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Overview&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-pills&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#overview-dataset_overview aria-controls=overview-dataset_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-reproduction aria-controls=overview-reproduction role=tab data-toggle=tab&gt;Reproduction&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-warnings aria-controls=overview-warnings role=tab data-toggle=tab&gt;Warnings &lt;span class=badge&gt;13&lt;/span&gt;&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content style=&quot;padding-top: 10px;&quot;&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=overview-dataset_overview&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Dataset statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Number of variables&lt;/th&gt;&lt;td&gt;14&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Number of observations&lt;/th&gt;&lt;td&gt;45726&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells&lt;/th&gt;&lt;td&gt;29703&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells (%)&lt;/th&gt;&lt;td&gt;4.6%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Total size in memory&lt;/th&gt;&lt;td&gt;4.6 MiB&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Average record size in memory&lt;/th&gt;&lt;td&gt;105.0 B&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Variable types&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;CAT&lt;/th&gt;&lt;td&gt;7&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;NUM&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;DATE&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;BOOL&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-reproduction&gt;&lt;p class=h4&gt;Reproduction&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Analysis started&lt;/th&gt;&lt;td&gt;2021-01-21 11:33:52.072833&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Analysis finished&lt;/th&gt;&lt;td&gt;2021-01-21 11:33:59.579945&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duration&lt;/th&gt;&lt;td&gt;7.51 seconds&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Version&lt;/th&gt;&lt;td&gt;&lt;a href=https://github.com/pandas-profiling/pandas-profiling&gt;pandas-profiling v2.8.0&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Command line&lt;/th&gt;&lt;td&gt;&lt;code&gt;pandas_profiling --config_file config.yaml [YOUR_FILE.csv]&lt;/code&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Download configuration&lt;/th&gt;&lt;td&gt;&lt;a download=config.yaml href=&quot;data:text/plain;charset=utf-8,progress_bar%3A%20no%0Ahtml%3A%0A%20%20%20%20style%3A%0A%20%20%20%20%20%20%20%20full_width%3A%20yes%0A%20%20%20%20%20%20%20%20theme%3A%20None%0A%20%20%20%20%20%20%20%20logo%3A%20%27%27%0A%20%20%20%20%20%20%20%20primary_color%3A%20%27%23337ab7%27%0A%20%20%20%20minify_html%3A%20yes%0A%20%20%20%20use_local_assets%3A%20yes%0A%20%20%20%20inline%3A%20yes%0A%20%20%20%20navbar_show%3A%20yes%0A%20%20%20%20file_name%3A%20None%0Asort%3A%20None%0Atitle%3A%20Pandas%20Profiling%20Report%0Apool_size%3A%200%0Avariables%3A%0A%20%20%20%20descriptions%3A%20%7B%7D%0Avars%3A%0A%20%20%20%20num%3A%0A%20%20%20%20%20%20%20%20quantiles%3A%0A%20%20%20%20%20%20%20%20-%200.05%0A%20%20%20%20%20%20%20%20-%200.25%0A%20%20%20%20%20%20%20%20-%200.5%0A%20%20%20%20%20%20%20%20-%200.75%0A%20%20%20%20%20%20%20%20-%200.95%0A%20%20%20%20%20%20%20%20skewness_threshold%3A%2020%0A%20%20%20%20%20%20%20%20low_categorical_threshold%3A%205%0A%20%20%20%20%20%20%20%20chi_squared_threshold%3A%200.999%0A%20%20%20%20cat%3A%0A%20%20%20%20%20%20%20%20length%3A%20yes%0A%20%20%20%20%20%20%20%20unicode%3A%20no%0A%20%20%20%20%20%20%20%20cardinality_threshold%3A%2050%0A%20%20%20%20%20%20%20%20n_obs%3A%205%0A%20%20%20%20%20%20%20%20chi_squared_threshold%3A%200.999%0A%20%20%20%20%20%20%20%20coerce_str_to_date%3A%20no%0A%20%20%20%20bool%3A%0A%20%20%20%20%20%20%20%20n_obs%3A%203%0A%20%20%20%20file%3A%0A%20%20%20%20%20%20%20%20active%3A%20no%0A%20%20%20%20image%3A%0A%20%20%20%20%20%20%20%20active%3A%20no%0A%20%20%20%20%20%20%20%20exif%3A%20yes%0A%20%20%20%20%20%20%20%20hash%3A%20yes%0Amissing_diagrams%3A%0A%20%20%20%20bar%3A%20yes%0A%20%20%20%20matrix%3A%20yes%0A%20%20%20%20heatmap%3A%20yes%0A%20%20%20%20dendrogram%3A%20yes%0Acorrelations%3A%0A%20%20%20%20pearson%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20yes%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20yes%0A%20%20%20%20%20%20%20%20threshold%3A%200.9%0A%20%20%20%20spearman%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20yes%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20no%0A%20%20%20%20kendall%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20yes%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20no%0A%20%20%20%20phi_k%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20yes%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20no%0A%20%20%20%20cramers%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20yes%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20yes%0A%20%20%20%20%20%20%20%20threshold%3A%200.9%0A%20%20%20%20recoded%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20no%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20no%0A%20%20%20%20%20%20%20%20threshold%3A%200.0%0Ainteractions%3A%0A%20%20%20%20targets%3A%20%5B%5D%0A%20%20%20%20continuous%3A%20yes%0Acategorical_maximum_correlation_distinct%3A%20100%0Aplot%3A%0A%20%20%20%20image_format%3A%20svg%0A%20%20%20%20dpi%3A%20800%0A%20%20%20%20scatter_threshold%3A%201000%0A%20%20%20%20correlation%3A%0A%20%20%20%20%20%20%20%20cmap%3A%20RdBu%0A%20%20%20%20%20%20%20%20bad%3A%20%27%23000000%27%0A%20%20%20%20missing%3A%0A%20%20%20%20%20%20%20%20cmap%3A%20RdBu%0A%20%20%20%20%20%20%20%20force_labels%3A%20yes%0A%20%20%20%20histogram%3A%0A%20%20%20%20%20%20%20%20bayesian_blocks_bins%3A%20no%0A%20%20%20%20%20%20%20%20bins%3A%2050%0An_obs_unique%3A%205%0An_extreme_obs%3A%205%0An_freq_table_max%3A%2010%0Amemory_deep%3A%20no%0Aduplicates%3A%0A%20%20%20%20head%3A%2010%0Asamples%3A%0A%20%20%20%20head%3A%2010%0A%20%20%20%20tail%3A%2010%0Areject_variables%3A%20yes%0Anotebook%3A%0A%20%20%20%20iframe%3A%0A%20%20%20%20%20%20%20%20height%3A%20800px%0A%20%20%20%20%20%20%20%20width%3A%20100%25%0A%20%20%20%20%20%20%20%20attribute%3A%20srcdoc%0A&quot;&gt;config.yaml&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-warnings&gt;&lt;table class=&quot;table table-condensed list-warnings&quot;&gt;&lt;p class=h4&gt;Warnings&lt;/p&gt;&lt;tr style=border-top:0&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_1578746827309043380&gt;&lt;code&gt;source&lt;/code&gt;&lt;/a&gt; has constant value &quot;NASA&quot; &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-warning&quot;&gt;Constant&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_8919584742510493448&gt;&lt;code&gt;recclass&lt;/code&gt;&lt;/a&gt; has a high cardinality: 466 distinct values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;High cardinality&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-6905713341474586310&gt;&lt;code&gt;GeoLocation&lt;/code&gt;&lt;/a&gt; has a high cardinality: 17100 distinct values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;High cardinality&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_3203532305154459750&gt;&lt;code&gt;reclat_city&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;reclat&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-754683977342476572&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;reclat_city&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-754683977342476572&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_109123717033001902&gt;&lt;code&gt;reclong&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-6905713341474586310&gt;&lt;code&gt;GeoLocation&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_3203532305154459750&gt;&lt;code&gt;reclat_city&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_8079999062779176012&gt;&lt;code&gt;mass (g)&lt;/code&gt;&lt;/a&gt; is highly skewed (γ1 = 76.91847245) &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Skewed&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_7783052502505467374&gt;&lt;code&gt;name&lt;/code&gt;&lt;/a&gt; has unique values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Unique&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-754683977342476572&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; has 6438 (14.1%) zeros &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Zeros&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_109123717033001902&gt;&lt;code&gt;reclong&lt;/code&gt;&lt;/a&gt; has 6214 (13.6%) zeros &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Zeros&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=variables&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Variables&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_7783052502505467374&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=name&gt;&lt;a href=#pp_var_7783052502505467374&gt;name&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;UNIQUE&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;45726&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.2 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt;MacAlpine Hills 02522&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Elephant Moraine 90468&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Asuka 882086&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Lewis Cliff 86322&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Roberts Massif 04234&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;th width=50%&gt;Other values (45721)&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 45721 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-7783052502505467374, #minifreqtable7783052502505467374&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-7783052502505467374 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#7783052502505467374bottom-7783052502505467374common_values aria-controls=7783052502505467374bottom-7783052502505467374common_values role=tab data-toggle=tab&gt;Common Values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7783052502505467374bottom-7783052502505467374tbl aria-controls=7783052502505467374bottom-7783052502505467374tbl role=tab data-toggle=tab&gt;Length&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=7783052502505467374bottom-7783052502505467374common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;MacAlpine Hills 02522&quot;&gt;MacAlpine Hills 02522&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Elephant Moraine 90468&quot;&gt;Elephant Moraine 90468&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Asuka 882086&quot;&gt;Asuka 882086&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Lewis Cliff 86322&quot;&gt;Lewis Cliff 86322&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar 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aria-controls=-7696066222291898070bottom--7696066222291898070common_values role=tab data-toggle=tab&gt;Common values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7696066222291898070bottom--7696066222291898070extreme_values aria-controls=-7696066222291898070bottom--7696066222291898070extreme_values role=tab data-toggle=tab&gt;Extreme values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-7696066222291898070bottom--7696066222291898070statistics&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Quantile statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5-th percentile&lt;/th&gt;&lt;td&gt;2388.75&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q1&lt;/th&gt;&lt;td&gt;12681.25&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;median&lt;/th&gt;&lt;td&gt;24256.5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q3&lt;/th&gt;&lt;td&gt;40653.5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;95-th percentile&lt;/th&gt;&lt;td&gt;54890.75&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;57458&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Range&lt;/th&gt;&lt;td&gt;57457&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Interquartile range (IQR)&lt;/th&gt;&lt;td&gt;27972.25&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Descriptive statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Standard deviation&lt;/th&gt;&lt;td&gt;16863.44557&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Coefficient of variation 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d=&quot;M 409.826923 240.448661 \nL 409.826923 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_15&gt;&lt;path style=fill:none; d=&quot;M 57.8 240.448661 \nL 409.826923 240.448661 \n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_16&gt;&lt;path style=fill:none; d=&quot;M 57.8 10.8 \nL 409.826923 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p5c3246557b&gt;&lt;rect height=229.648661 width=352.026923 x=57.8 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=10) &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7696066222291898070bottom--7696066222291898070common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=417&gt;417&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=398&gt;398&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=392&gt;392&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=370&gt;370&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=379&gt;379&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=390&gt;390&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=10&gt;10&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (45706)&quot;&gt;Other values (45706)&lt;/td&gt;&lt;td&gt;45706&lt;/td&gt;&lt;td&gt;&gt; 99.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7696066222291898070bottom--7696066222291898070extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-7696066222291898070extreme_values--7696066222291898070firstn aria-controls=-7696066222291898070extreme_values--7696066222291898070firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7696066222291898070extreme_values--7696066222291898070lastn aria-controls=-7696066222291898070extreme_values--7696066222291898070lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-7696066222291898070extreme_values--7696066222291898070firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7696066222291898070extreme_values--7696066222291898070lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=57458&gt;57458&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57457&gt;57457&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57456&gt;57456&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57455&gt;57455&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57454&gt;57454&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-5323387821230590675&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=nametype&gt;&lt;a href=#pp_var_-5323387821230590675&gt;nametype&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing 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id=patch_16&gt;&lt;path style=fill:none; d=&quot;M 11.826069 10.8 \nL 133.2 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p914f1afa81&gt;&lt;rect height=51.702408 width=121.373931 x=11.826069 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-8079999062779176012, #minifreqtable8079999062779176012&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-8079999062779176012 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#8079999062779176012bottom-8079999062779176012statistics aria-controls=8079999062779176012bottom-8079999062779176012statistics role=tab data-toggle=tab&gt;Statistics&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8079999062779176012bottom-8079999062779176012histograms aria-controls=8079999062779176012bottom-8079999062779176012histograms role=tab data-toggle=tab&gt;Histogram(s)&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8079999062779176012bottom-8079999062779176012common_values aria-controls=8079999062779176012bottom-8079999062779176012common_values role=tab data-toggle=tab&gt;Common values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8079999062779176012bottom-8079999062779176012extreme_values aria-controls=8079999062779176012bottom-8079999062779176012extreme_values role=tab data-toggle=tab&gt;Extreme values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=8079999062779176012bottom-8079999062779176012statistics&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Quantile statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5-th percentile&lt;/th&gt;&lt;td&gt;1.1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q1&lt;/th&gt;&lt;td&gt;7.2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;median&lt;/th&gt;&lt;td&gt;32.61&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q3&lt;/th&gt;&lt;td&gt;202.9&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;95-th percentile&lt;/th&gt;&lt;td&gt;4000&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;60000000&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Range&lt;/th&gt;&lt;td&gt;60000000&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Interquartile range (IQR)&lt;/th&gt;&lt;td&gt;195.7&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Descriptive statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Standard deviation&lt;/th&gt;&lt;td&gt;574926.0121&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Coefficient of variation (CV)&lt;/th&gt;&lt;td&gt;43.2977517&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Kurtosis&lt;/th&gt;&lt;td&gt;6798.398388&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;13278.42646&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median Absolute Deviation (MAD)&lt;/th&gt;&lt;td&gt;30.51&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Skewness&lt;/th&gt;&lt;td&gt;76.91847245&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Sum&lt;/th&gt;&lt;td&gt;605429854.6&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Variance&lt;/th&gt;&lt;td&gt;3.305399193e+11&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8079999062779176012bottom-8079999062779176012histograms&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a 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(bins=10) &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8079999062779176012bottom-8079999062779176012common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1.3&gt;1.3&lt;/td&gt;&lt;td&gt;171&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.2&gt;1.2&lt;/td&gt;&lt;td&gt;140&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.4&gt;1.4&lt;/td&gt;&lt;td&gt;138&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.1&gt;2.1&lt;/td&gt;&lt;td&gt;130&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.4&gt;2.4&lt;/td&gt;&lt;td&gt;126&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.6&gt;1.6&lt;/td&gt;&lt;td&gt;120&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.5&gt;0.5&lt;/td&gt;&lt;td&gt;119&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.1&gt;1.1&lt;/td&gt;&lt;td&gt;116&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.8&gt;3.8&lt;/td&gt;&lt;td&gt;114&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.7&gt;0.7&lt;/td&gt;&lt;td&gt;111&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (12566)&quot;&gt;Other values (12566)&lt;/td&gt;&lt;td&gt;44310&lt;/td&gt;&lt;td&gt;96.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt;(Missing)&lt;/td&gt;&lt;td&gt;131&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8079999062779176012bottom-8079999062779176012extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#8079999062779176012extreme_values-8079999062779176012firstn aria-controls=8079999062779176012extreme_values-8079999062779176012firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8079999062779176012extreme_values-8079999062779176012lastn aria-controls=8079999062779176012extreme_values-8079999062779176012lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=8079999062779176012extreme_values-8079999062779176012firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;19&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.01&gt;0.01&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.013&gt;0.013&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.02&gt;0.02&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.03&gt;0.03&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8079999062779176012extreme_values-8079999062779176012lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=60000000&gt;60000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=58200000&gt;58200000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=50000000&gt;50000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=30000000&gt;30000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=28000000&gt;28000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-5679144857642360403&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=fall&gt;&lt;a href=#pp_var_-5679144857642360403&gt;fall&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.2 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt;Found&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 44609 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Fell&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:2.5% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1117 &lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--5679144857642360403, #minifreqtable-5679144857642360403&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--5679144857642360403 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-5679144857642360403bottom--5679144857642360403common_values aria-controls=-5679144857642360403bottom--5679144857642360403common_values role=tab data-toggle=tab&gt;Common Values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a 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role=presentation&gt;&lt;a href=#-754683977342476572bottom--754683977342476572common_values aria-controls=-754683977342476572bottom--754683977342476572common_values role=tab data-toggle=tab&gt;Common values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-754683977342476572bottom--754683977342476572extreme_values aria-controls=-754683977342476572bottom--754683977342476572extreme_values role=tab data-toggle=tab&gt;Extreme values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-754683977342476572bottom--754683977342476572statistics&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Quantile statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;-87.36667&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5-th percentile&lt;/th&gt;&lt;td&gt;-84.35476&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q1&lt;/th&gt;&lt;td&gt;-76.71377&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;median&lt;/th&gt;&lt;td&gt;-71.5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q3&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;95-th percentile&lt;/th&gt;&lt;td&gt;34.494325&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;81.16667&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Range&lt;/th&gt;&lt;td&gt;168.53334&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Interquartile range (IQR)&lt;/th&gt;&lt;td&gt;76.71377&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Descriptive statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Standard deviation&lt;/th&gt;&lt;td&gt;46.38601095&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Coefficient of variation (CV)&lt;/th&gt;&lt;td&gt;-1.186127755&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Kurtosis&lt;/th&gt;&lt;td&gt;-1.476865084&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;-39.10709514&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median Absolute Deviation (MAD)&lt;/th&gt;&lt;td&gt;12.76459&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Skewness&lt;/th&gt;&lt;td&gt;0.4913157316&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Sum&lt;/th&gt;&lt;td&gt;-1502142.632&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Variance&lt;/th&gt;&lt;td&gt;2151.662012&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-754683977342476572bottom--754683977342476572histograms&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-754683977342476572histograms--754683977342476572histogram 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10.8 \nL 421.2 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pd041998fd9&gt;&lt;rect height=237.426835 width=357.775 x=63.425 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=10) &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-754683977342476572bottom--754683977342476572common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;6438&lt;/td&gt;&lt;td&gt;14.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:32.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-71.5&gt;-71.5&lt;/td&gt;&lt;td&gt;4761&lt;/td&gt;&lt;td&gt;10.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-84&gt;-84&lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;6.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72&gt;-72&lt;/td&gt;&lt;td&gt;1506&lt;/td&gt;&lt;td&gt;3.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-79.68333&gt;-79.68333&lt;/td&gt;&lt;td&gt;1130&lt;/td&gt;&lt;td&gt;2.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-76.71667&gt;-76.71667&lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-76.18333&gt;-76.18333&lt;/td&gt;&lt;td&gt;539&lt;/td&gt;&lt;td&gt;1.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-84.21667&gt;-84.21667&lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.36667&gt;-86.36667&lt;/td&gt;&lt;td&gt;226&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.71667&gt;-86.71667&lt;/td&gt;&lt;td&gt;217&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (12728)&quot;&gt;Other values (12728)&lt;/td&gt;&lt;td&gt;19611&lt;/td&gt;&lt;td&gt;42.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt;(Missing)&lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:37.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-754683977342476572bottom--754683977342476572extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-754683977342476572extreme_values--754683977342476572firstn aria-controls=-754683977342476572extreme_values--754683977342476572firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-754683977342476572extreme_values--754683977342476572lastn aria-controls=-754683977342476572extreme_values--754683977342476572lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-754683977342476572extreme_values--754683977342476572firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-87.36667&gt;-87.36667&lt;/td&gt;&lt;td&gt;4&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-87.03333&gt;-87.03333&lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.93333&gt;-86.93333&lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.71667&gt;-86.71667&lt;/td&gt;&lt;td&gt;217&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.56667&gt;-86.56667&lt;/td&gt;&lt;td&gt;17&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-754683977342476572extreme_values--754683977342476572lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=81.16667&gt;81.16667&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=76.53333&gt;76.53333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=76.13333&gt;76.13333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=72.88333&gt;72.88333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=72.68333&gt;72.68333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_109123717033001902&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=reclong&gt;&lt;a href=#pp_var_109123717033001902&gt;reclong&lt;/a&gt;&lt;br&gt;&lt;small&gt;Real number (&amp;Ropf;)&lt;/small&gt;&lt;/p&gt;&lt;code&gt;MISSING&lt;/code&gt;&lt;br&gt;&lt;code&gt;ZEROS&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;14640&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;38.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;7315&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;61.05259359027362&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;-165.43333&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;354.47333&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Zeros&lt;/th&gt;&lt;td&gt;6214&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Zeros (%)&lt;/th&gt;&lt;td&gt;13.6%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.2 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;?xml version=&quot;1.0&quot; encoding=&quot;utf-8&quot; standalone=&quot;no&quot;?&gt;&lt;!DOCTYPE svg class=&quot;img-responsive center-img&quot;PUBLIC &quot;-//W3C//DTD SVG 1.1//EN&quot;\n  &quot;http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd&quot;&gt;&lt;svg class=&quot;img-responsive center-img&quot; height=108pt version=1.1 viewbox=&quot;0 0 144 108&quot; width=144pt xmlns=http://www.w3.org/2000/svg xmlns:xlink=http://www.w3.org/1999/xlink&gt;&lt;defs&gt;&lt;style type=text/css&gt;\n*{stroke-linecap:butt;stroke-linejoin:round;}\n  &lt;/style&gt;&lt;/defs&gt;&lt;g id=figure_1&gt;&lt;g id=patch_1&gt;&lt;path style=fill:#ffffff; d=&quot;M 0 108 \nL 144 108 \nL 144 0 \nL 0 0 \nz\n&quot;/&gt;&lt;/g&gt;&lt;g id=axes_1&gt;&lt;g id=patch_2&gt;&lt;path style=fill:#ffffff; d=&quot;M 10.8 72.911418 \nL 133.2 72.911418 \nL 133.2 10.8 \nL 10.8 10.8 \nz\n&quot;/&gt;&lt;/g&gt;&lt;g 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role=presentation class=active&gt;&lt;a href=#109123717033001902bottom-109123717033001902statistics aria-controls=109123717033001902bottom-109123717033001902statistics role=tab data-toggle=tab&gt;Statistics&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#109123717033001902bottom-109123717033001902histograms aria-controls=109123717033001902bottom-109123717033001902histograms role=tab data-toggle=tab&gt;Histogram(s)&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#109123717033001902bottom-109123717033001902common_values aria-controls=109123717033001902bottom-109123717033001902common_values role=tab data-toggle=tab&gt;Common values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#109123717033001902bottom-109123717033001902extreme_values aria-controls=109123717033001902bottom-109123717033001902extreme_values role=tab data-toggle=tab&gt;Extreme values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=109123717033001902bottom-109123717033001902statistics&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Quantile statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;-165.43333&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5-th percentile&lt;/th&gt;&lt;td&gt;-90.427&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q1&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;median&lt;/th&gt;&lt;td&gt;35.66667&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q3&lt;/th&gt;&lt;td&gt;157.16667&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;95-th percentile&lt;/th&gt;&lt;td&gt;168&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;354.47333&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Range&lt;/th&gt;&lt;td&gt;519.90666&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Interquartile range (IQR)&lt;/th&gt;&lt;td&gt;157.16667&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Descriptive statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Standard deviation&lt;/th&gt;&lt;td&gt;80.65525774&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Coefficient of variation (CV)&lt;/th&gt;&lt;td&gt;1.321078319&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Kurtosis&lt;/th&gt;&lt;td&gt;-0.7313935567&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;61.05259359&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median Absolute Deviation (MAD)&lt;/th&gt;&lt;td&gt;39.53972&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Skewness&lt;/th&gt;&lt;td&gt;-0.1743813291&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Sum&lt;/th&gt;&lt;td&gt;2345091.172&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Variance&lt;/th&gt;&lt;td&gt;6505.2706&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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244.24936 \nL 421.2 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_15&gt;&lt;path style=fill:none; d=&quot;M 63.425 244.24936 \nL 421.2 244.24936 \n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_16&gt;&lt;path style=fill:none; d=&quot;M 63.425 10.8 \nL 421.2 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p4263aaa9c7&gt;&lt;rect height=233.44936 width=357.775 x=63.425 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=10) &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=109123717033001902bottom-109123717033001902common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;6214&lt;/td&gt;&lt;td&gt;13.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:31.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=35.66667&gt;35.66667&lt;/td&gt;&lt;td&gt;4985&lt;/td&gt;&lt;td&gt;10.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=168&gt;168&lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;6.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26&gt;26&lt;/td&gt;&lt;td&gt;1506&lt;/td&gt;&lt;td&gt;3.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.75&gt;159.75&lt;/td&gt;&lt;td&gt;657&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.66667&gt;159.66667&lt;/td&gt;&lt;td&gt;637&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=157.16667&gt;157.16667&lt;/td&gt;&lt;td&gt;542&lt;/td&gt;&lt;td&gt;1.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=155.75&gt;155.75&lt;/td&gt;&lt;td&gt;473&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=160.5&gt;160.5&lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-70&gt;-70&lt;/td&gt;&lt;td&gt;228&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (14630)&quot;&gt;Other values (14630)&lt;/td&gt;&lt;td&gt;19866&lt;/td&gt;&lt;td&gt;43.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt;(Missing)&lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:36.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=109123717033001902bottom-109123717033001902extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#109123717033001902extreme_values-109123717033001902firstn aria-controls=109123717033001902extreme_values-109123717033001902firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#109123717033001902extreme_values-109123717033001902lastn aria-controls=109123717033001902extreme_values-109123717033001902lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=109123717033001902extreme_values-109123717033001902firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-165.43333&gt;-165.43333&lt;/td&gt;&lt;td&gt;9&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:52.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-165.11667&gt;-165.11667&lt;/td&gt;&lt;td&gt;17&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-163.16667&gt;-163.16667&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-162.55&gt;-162.55&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-157.86667&gt;-157.86667&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=109123717033001902extreme_values-109123717033001902lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=354.47333&gt;354.47333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=178.2&gt;178.2&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=178.08333&gt;178.08333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175.73028&gt;175.73028&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar 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data-html=true data-delay=500&gt; 22234 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--6905713341474586310, #minifreqtable-6905713341474586310&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--6905713341474586310 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-6905713341474586310bottom--6905713341474586310common_values aria-controls=-6905713341474586310bottom--6905713341474586310common_values role=tab data-toggle=tab&gt;Common Values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6905713341474586310bottom--6905713341474586310tbl aria-controls=-6905713341474586310bottom--6905713341474586310tbl role=tab 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ignore&quot;&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=source&gt;&lt;a href=#pp_var_1578746827309043380&gt;source&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;CONSTANT&lt;/code&gt;&lt;br&gt;&lt;code&gt;REJECTED&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.2 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt;NASA&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 45726 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-1578746827309043380, #minifreqtable1578746827309043380&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-1578746827309043380 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#1578746827309043380bottom-1578746827309043380common_values aria-controls=1578746827309043380bottom-1578746827309043380common_values role=tab data-toggle=tab&gt;Common Values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#1578746827309043380bottom-1578746827309043380tbl aria-controls=1578746827309043380bottom-1578746827309043380tbl role=tab data-toggle=tab&gt;Length&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=1578746827309043380bottom-1578746827309043380common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=NASA&gt;NASA&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=1578746827309043380bottom-1578746827309043380tbl&gt;&lt;div 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length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_3203532305154459750&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=reclat_city&gt;&lt;a href=#pp_var_3203532305154459750&gt;reclat_city&lt;/a&gt;&lt;br&gt;&lt;small&gt;Real number (&amp;Ropf;)&lt;/small&gt;&lt;/p&gt;&lt;code&gt;&lt;abbr title=&quot;This variable has a high correlation with 1 fields: reclat&quot;&gt;HIGH CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;MISSING&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;38401&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;&gt; 99.9%&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;7315&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;-39.07156100300819&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;-102.60668120257407&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;82.86284169800703&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Zeros&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Zeros (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.2 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aria-controls=3203532305154459750bottom-3203532305154459750histograms role=tab data-toggle=tab&gt;Histogram(s)&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#3203532305154459750bottom-3203532305154459750common_values aria-controls=3203532305154459750bottom-3203532305154459750common_values role=tab data-toggle=tab&gt;Common values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#3203532305154459750bottom-3203532305154459750extreme_values aria-controls=3203532305154459750bottom-3203532305154459750extreme_values role=tab data-toggle=tab&gt;Extreme values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=3203532305154459750bottom-3203532305154459750statistics&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Quantile statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;-102.6066812&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5-th percentile&lt;/th&gt;&lt;td&gt;-87.84481248&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q1&lt;/th&gt;&lt;td&gt;-78.26358046&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;median&lt;/th&gt;&lt;td&gt;-68.93503323&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q3&lt;/th&gt;&lt;td&gt;4.915231311&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;95-th percentile&lt;/th&gt;&lt;td&gt;35.36145094&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;82.8628417&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Range&lt;/th&gt;&lt;td&gt;185.4695229&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Interquartile range (IQR)&lt;/th&gt;&lt;td&gt;83.17881177&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Descriptive statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Standard deviation&lt;/th&gt;&lt;td&gt;46.66501985&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Coefficient of variation (CV)&lt;/th&gt;&lt;td&gt;-1.194347465&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Kurtosis&lt;/th&gt;&lt;td&gt;-1.445153735&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;-39.071561&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median Absolute Deviation (MAD)&lt;/th&gt;&lt;td&gt;17.21342117&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Skewness&lt;/th&gt;&lt;td&gt;0.4824618762&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Sum&lt;/th&gt;&lt;td&gt;-1500777.73&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Variance&lt;/th&gt;&lt;td&gt;2177.624078&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=3203532305154459750bottom-3203532305154459750histograms&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a 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title=36.79681399&gt;36.79681399&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-29.25226427&gt;-29.25226427&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=47.84410212&gt;47.84410212&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=49.55309361&gt;49.55309361&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=11.75244283&gt;11.75244283&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-30.3083685&gt;-30.3083685&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57.09343998&gt;57.09343998&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-32.18640603&gt;-32.18640603&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26.49993975&gt;26.49993975&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (38391)&quot;&gt;Other values (38391)&lt;/td&gt;&lt;td&gt;38391&lt;/td&gt;&lt;td&gt;84.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt;(Missing)&lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=3203532305154459750bottom-3203532305154459750extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#3203532305154459750extreme_values-3203532305154459750firstn aria-controls=3203532305154459750extreme_values-3203532305154459750firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#3203532305154459750extreme_values-3203532305154459750lastn aria-controls=3203532305154459750extreme_values-3203532305154459750lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=3203532305154459750extreme_values-3203532305154459750firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-102.6066812&gt;-102.6066812&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-101.7796912&gt;-101.7796912&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-101.524804&gt;-101.524804&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-101.296513&gt;-101.296513&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-101.1791612&gt;-101.1791612&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=3203532305154459750extreme_values-3203532305154459750lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency 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title=73.50437475&gt;73.50437475&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=interactions&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Interactions&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#interactions-interactions_id aria-controls=interactions-interactions_id role=tab data-toggle=tab&gt;id&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#interactions-interactions_mass_(g) aria-controls=interactions-interactions_mass_(g) role=tab data-toggle=tab&gt;mass (g)&lt;/a&gt;&lt;/li&gt;&lt;li 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It&#x27;s value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. 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id=pdf31701488&gt;&lt;rect height=269.28 width=13.464 x=451.44 y=47.52 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-6 correlation-description&quot;&gt;&lt;div style=padding:20px class=text-muted&gt;&lt;h3&gt;Cramér&#x27;s V (φc)&lt;/h3&gt;Cramér&#x27;s V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér&#x27;s V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found &lt;a href=http://stats.lse.ac.uk/bergsma/pdf/cramerV3.pdf&gt;here&lt;/a&gt;.&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=missing&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Missing values&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#missing-bar aria-controls=missing-bar role=tab data-toggle=tab&gt;Count&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#missing-matrix aria-controls=missing-matrix role=tab data-toggle=tab&gt;Matrix&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#missing-heatmap aria-controls=missing-heatmap role=tab data-toggle=tab&gt;Heatmap&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a 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+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": []
+     },
+     "metadata": {},
+     "execution_count": 5
+    }
+   ],
+   "source": [
+    "report = df.profile_report(sort='None', html={'style':{'full_width': True}}, progress_bar=False)\n",
+    "report"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Save report to file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "profile_report = df.profile_report(html={'style': {'full_width': True}})\n",
+    "profile_report.to_file(\"tmp/example.html\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### More analysis (Unicode) and Print existing ProfileReport object inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": [
+      "Summarize dataset: 100%|██████████| 28/28 [00:05<00:00,  5.07it/s, Completed]\n",
+      "Generate report structure: 100%|██████████| 1/1 [00:03<00:00,  3.03s/it]\n",
+      "Render HTML: 100%|██████████| 1/1 [00:01<00:00,  1.11s/it]\n"
+     ]
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "<IPython.core.display.HTML object>",
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1em;\n}\n\n.center-img {\n    margin-left: auto !important;\n    margin-right: auto !important;\n    display: block;\n}\n\n/* Table example_values */\ntable.example_values {\n    border: 0;\n}\n\n.example_values th {\n    border: 0;\n    padding: 0;\n    color: #555;\n    font-weight: 600;\n}\n\n.example_values tr, .example_values td {\n    border: 0;\n    padding: 0;\n    color: #555;\n}\n\n/* STATS */\ntable.stats, table.sample, table.duplicate{\n    border: 0;\n}\n\n.stats tr, .sample tr, .duplicate tr {\n    border: 0;\n}\n\n.stats th, .stats td{\n    color: #555;\n    border: 0;\n}\n\n.stats th {\n    padding: 0 2em 0 0;\n    font-weight: 600;\n}\n\n.stats td {\n    padding: 1px;\n}\n\n\n/* Sample table */\ntable.sample, table.duplicate{\n    margin-bottom: 2em;\n    margin-left: 1em;\n}\n\n.sample td, .sample th, .duplicate td, .duplicate th {\n    padding: 0.5em;\n    white-space: nowrap;\n    border: 0;\n\n}\n\n.sample thead, .duplicate thead {\n    border-top: 0;\n    border-bottom: 2px solid #ddd;\n}\n\n.sample td, .duplicate td {\n    width: 100%;\n}\n\n\n/* There is no good solution available to make the divs equal height and then center ... */\n.histogram {\n    margin-top: 3em;\n}\n\n/* Freq table */\ntable.freq {\n    margin-bottom: 2em;\n    border: 0;\n}\n\ntable.freq th, table.freq tr, table.freq td {\n    border: 0;\n    padding: 0;\n}\n\n.freq thead {\n    font-weight: 600;\n    white-space: nowrap;\n    overflow: hidden;\n    text-overflow: ellipsis;\n\n}\n\n/* Freq mini */\n.freq.mini td {\n    width: 50%;\n    padding: 1px;\n    font-size: 12px;\n\n}\n\ntable.freq.mini {\n    width: 100%;\n}\n\n.freq.mini th {\n    overflow: hidden;\n    text-overflow: ellipsis;\n    white-space: nowrap;\n    max-width: 5em;\n    font-weight: 400;\n    text-align: right;\n    padding-right: 0.5em;\n}\n\n/* Message classes */\n.missing {\n    color: #a94442;\n}\n\n.alert, .alert &gt; th, .alert &gt; td {\n    color: #a94442;\n}\n\n.ignore {\n    opacity: 0.4;\n}\n\n/* Bars in tables */\n.freq.table{\n    table-layout: fixed;\n}\n\n.freq:not(.mini) tr td:nth-child(1), .freq:not(.mini) tr th:nth-child(1){\n    width: auto;\n    max-width: none;\n\n    white-space: nowrap;\n    overflow: hidden;\n    text-overflow: ellipsis;\n}\n\n.freq:not(.mini) tr td:nth-child(2), .freq:not(.mini) tr td:nth-child(3), .freq:not(.mini) tr th:nth-child(2), .freq:not(.mini) tr th:nth-child(3){\n    width: 100px;\n    text-align: right;\n}\n.freq:not(.mini) tr td:nth-child(4), .freq:not(.mini) tr th:nth-child(4){\n    width:200px;\n}\n\n.freq .bar {\n    float: left;\n    width: 0;\n    height: 100%;\n    line-height: 20px;\n    color: #fff;\n    text-align: center;\n    background-color: #337ab7;\n    border-radius: 3px;\n    margin-right: 4px;\n}\n\n.other .bar {\n    background-color: #999;\n}\n\n.missing .bar {\n    background-color: #a94442;\n}\n\n.tooltip-inner {\n    width: 100%;\n    white-space: nowrap;\n    text-align: left;\n}\n\n.extrapadding {\n    padding: 2em;\n}\n\n.variable .h4 {\n    text-overflow: ellipsis;\n    display:inline-block;\n    width: calc(90%); /* The trick is here! */\n    overflow:hidden;\n}\n\n.variable.ignore .h4{\n    text-decoration: line-through;\n}\n\n.table-responsive{\n    overflow: scroll;\n    width: 100%;\n    overflow-y: hidden;\n}\n.img-responsive{\n    max-width: 99%;\n}\n.footer-text{\n    padding:20px;\n}\n\ntable.list-warnings td{\n    padding-right:10px;\n}\n\na.anchor-pos {\n    display: block;\n    position: relative;\n    top: -70px;\n    visibility: hidden;\n}\n\na.anchor-pos-variable{\n    /*top: -70px;*/\n}\n\n#sample-container, #duplicate-container{\n    overflow: auto;\n    width: 100%;\n    overflow-y: hidden;\n}\n\n#overview-content td, #overview-content th{\n    border-top: 0;\n    line-height: 1;\n}\n\n.variable-description{\n    color: #777;\n    font-size: 10pt;\n    margin-top: 10px;\n    font-style: italic;\n}\n\nselect.multiple{\n    width: 180px;\n    height: 500px;\n    margin: 10px 0;\n}\n\n.named-list-item{\n    padding: 1em;\n}\n\n/* not printing tabs */\n@media print {\n    .tab-content &gt; .tab-pane, .collapse {\n        display: block !important;\n        opacity: 1 !important;\n        visibility: visible !important;\n        /*page-break-after: always;*/\n        page-break-after: right;\n        page-break-before: avoid;\n    }\n\n    .nav-pills, .nav-tabs, button[data-toggle=&quot;collapse&quot;], .mini, .col-sm-3 img {\n        display:none !important;\n    }\n\n    a[download=&quot;config.yml&quot;]:after {\n        content: none !important;\n    }\n\n    .row {\n        border: 0 !important;\n    }\n}&lt;/style&gt;&lt;/head&gt;&lt;body&gt;&lt;a class=anchor-pos id=top&gt;&lt;/a&gt;&lt;nav class=&quot;navbar navbar-default navbar-fixed-top&quot;&gt;&lt;div class=container-fluid&gt;&lt;div class=navbar-header&gt;&lt;button type=button class=&quot;navbar-toggle collapsed&quot; data-toggle=collapse data-target=#navbar aria-expanded=false aria-controls=navbar&gt;&lt;span class=sr-only&gt;Toggle navigation&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;span class=icon-bar&gt;&lt;/span&gt;&lt;/button&gt;&lt;a class=&quot;navbar-brand anchor&quot; href=#top&gt;Pandas Profiling Report&lt;/a&gt;&lt;/div&gt;&lt;div id=navbar class=&quot;navbar-collapse collapse&quot;&gt;&lt;ul class=&quot;nav navbar-nav navbar-right&quot;&gt;&lt;li&gt;&lt;a class=anchor href=#overview&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#variables&gt;Variables&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#interactions&gt;Interactions&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#correlations&gt;Correlations&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#missing&gt;Missing values&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a class=anchor href=#sample&gt;Sample&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&lt;/nav&gt;&lt;div class=content&gt;&lt;div class=container-fluid&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=overview&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Overview&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-pills&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#overview-dataset_overview aria-controls=overview-dataset_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-reproduction aria-controls=overview-reproduction role=tab data-toggle=tab&gt;Reproduction&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#overview-warnings aria-controls=overview-warnings role=tab data-toggle=tab&gt;Warnings &lt;span class=badge&gt;13&lt;/span&gt;&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content style=&quot;padding-top: 10px;&quot;&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=overview-dataset_overview&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Dataset statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Number of variables&lt;/th&gt;&lt;td&gt;14&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Number of observations&lt;/th&gt;&lt;td&gt;45726&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells&lt;/th&gt;&lt;td&gt;29703&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing cells (%)&lt;/th&gt;&lt;td&gt;4.6%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duplicate rows (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Total size in memory&lt;/th&gt;&lt;td&gt;21.8 MiB&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Average record size in memory&lt;/th&gt;&lt;td&gt;498.8 B&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Variable types&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;CAT&lt;/th&gt;&lt;td&gt;7&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;NUM&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;DATE&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;BOOL&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-reproduction&gt;&lt;p class=h4&gt;Reproduction&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Analysis started&lt;/th&gt;&lt;td&gt;2021-01-21 11:34:14.555413&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Analysis finished&lt;/th&gt;&lt;td&gt;2021-01-21 11:34:20.075966&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Duration&lt;/th&gt;&lt;td&gt;5.52 seconds&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Version&lt;/th&gt;&lt;td&gt;&lt;a href=https://github.com/pandas-profiling/pandas-profiling&gt;pandas-profiling v2.8.0&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Command line&lt;/th&gt;&lt;td&gt;&lt;code&gt;pandas_profiling --config_file config.yaml [YOUR_FILE.csv]&lt;/code&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Download configuration&lt;/th&gt;&lt;td&gt;&lt;a download=config.yaml href=&quot;data:text/plain;charset=utf-8,html%3A%0A%20%20%20%20style%3A%0A%20%20%20%20%20%20%20%20full_width%3A%20yes%0A%20%20%20%20%20%20%20%20theme%3A%20None%0A%20%20%20%20%20%20%20%20logo%3A%20%27%27%0A%20%20%20%20%20%20%20%20primary_color%3A%20%27%23337ab7%27%0A%20%20%20%20minify_html%3A%20yes%0A%20%20%20%20use_local_assets%3A%20yes%0A%20%20%20%20inline%3A%20yes%0A%20%20%20%20navbar_show%3A%20yes%0A%20%20%20%20file_name%3A%20None%0Atitle%3A%20Pandas%20Profiling%20Report%0Apool_size%3A%200%0Aprogress_bar%3A%20yes%0Avariables%3A%0A%20%20%20%20descriptions%3A%20%7B%7D%0Avars%3A%0A%20%20%20%20num%3A%0A%20%20%20%20%20%20%20%20quantiles%3A%0A%20%20%20%20%20%20%20%20-%200.05%0A%20%20%20%20%20%20%20%20-%200.25%0A%20%20%20%20%20%20%20%20-%200.5%0A%20%20%20%20%20%20%20%20-%200.75%0A%20%20%20%20%20%20%20%20-%200.95%0A%20%20%20%20%20%20%20%20skewness_threshold%3A%2020%0A%20%20%20%20%20%20%20%20low_categorical_threshold%3A%205%0A%20%20%20%20%20%20%20%20chi_squared_threshold%3A%200.999%0A%20%20%20%20cat%3A%0A%20%20%20%20%20%20%20%20length%3A%20yes%0A%20%20%20%20%20%20%20%20unicode%3A%20yes%0A%20%20%20%20%20%20%20%20cardinality_threshold%3A%2050%0A%20%20%20%20%20%20%20%20n_obs%3A%205%0A%20%20%20%20%20%20%20%20chi_squared_threshold%3A%200.999%0A%20%20%20%20%20%20%20%20coerce_str_to_date%3A%20no%0A%20%20%20%20bool%3A%0A%20%20%20%20%20%20%20%20n_obs%3A%203%0A%20%20%20%20file%3A%0A%20%20%20%20%20%20%20%20active%3A%20yes%0A%20%20%20%20image%3A%0A%20%20%20%20%20%20%20%20active%3A%20yes%0A%20%20%20%20%20%20%20%20exif%3A%20yes%0A%20%20%20%20%20%20%20%20hash%3A%20yes%0Asort%3A%20None%0Amissing_diagrams%3A%0A%20%20%20%20bar%3A%20yes%0A%20%20%20%20matrix%3A%20yes%0A%20%20%20%20heatmap%3A%20yes%0A%20%20%20%20dendrogram%3A%20yes%0Acorrelations%3A%0A%20%20%20%20pearson%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20yes%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20yes%0A%20%20%20%20%20%20%20%20threshold%3A%200.9%0A%20%20%20%20spearman%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20yes%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20no%0A%20%20%20%20kendall%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20yes%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20no%0A%20%20%20%20phi_k%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20yes%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20no%0A%20%20%20%20cramers%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20yes%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20yes%0A%20%20%20%20%20%20%20%20threshold%3A%200.9%0A%20%20%20%20recoded%3A%0A%20%20%20%20%20%20%20%20calculate%3A%20no%0A%20%20%20%20%20%20%20%20warn_high_correlations%3A%20no%0A%20%20%20%20%20%20%20%20threshold%3A%200.0%0Ainteractions%3A%0A%20%20%20%20targets%3A%20%5B%5D%0A%20%20%20%20continuous%3A%20yes%0Acategorical_maximum_correlation_distinct%3A%20100%0Aplot%3A%0A%20%20%20%20image_format%3A%20svg%0A%20%20%20%20dpi%3A%20800%0A%20%20%20%20scatter_threshold%3A%201000%0A%20%20%20%20correlation%3A%0A%20%20%20%20%20%20%20%20cmap%3A%20RdBu%0A%20%20%20%20%20%20%20%20bad%3A%20%27%23000000%27%0A%20%20%20%20missing%3A%0A%20%20%20%20%20%20%20%20cmap%3A%20RdBu%0A%20%20%20%20%20%20%20%20force_labels%3A%20yes%0A%20%20%20%20histogram%3A%0A%20%20%20%20%20%20%20%20bayesian_blocks_bins%3A%20no%0A%20%20%20%20%20%20%20%20bins%3A%2050%0An_obs_unique%3A%2010%0An_extreme_obs%3A%2010%0An_freq_table_max%3A%2025%0Aduplicates%3A%0A%20%20%20%20head%3A%2010%0Asamples%3A%0A%20%20%20%20head%3A%2010%0A%20%20%20%20tail%3A%2010%0Areject_variables%3A%20yes%0Amemory_deep%3A%20yes%0Anotebook%3A%0A%20%20%20%20iframe%3A%0A%20%20%20%20%20%20%20%20height%3A%20800px%0A%20%20%20%20%20%20%20%20width%3A%20100%25%0A%20%20%20%20%20%20%20%20attribute%3A%20srcdoc%0A&quot;&gt;config.yaml&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=overview-warnings&gt;&lt;table class=&quot;table table-condensed list-warnings&quot;&gt;&lt;p class=h4&gt;Warnings&lt;/p&gt;&lt;tr style=border-top:0&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_1578746827309043380&gt;&lt;code&gt;source&lt;/code&gt;&lt;/a&gt; has constant value &quot;NASA&quot; &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-warning&quot;&gt;Constant&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_8919584742510493448&gt;&lt;code&gt;recclass&lt;/code&gt;&lt;/a&gt; has a high cardinality: 466 distinct values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;High cardinality&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-6905713341474586310&gt;&lt;code&gt;GeoLocation&lt;/code&gt;&lt;/a&gt; has a high cardinality: 17100 distinct values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;High cardinality&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_3203532305154459750&gt;&lt;code&gt;reclat_city&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;reclat&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-754683977342476572&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; is highly correlated with &lt;code&gt;reclat_city&lt;/code&gt;&lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-default&quot;&gt;High correlation&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-754683977342476572&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_109123717033001902&gt;&lt;code&gt;reclong&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-6905713341474586310&gt;&lt;code&gt;GeoLocation&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_3203532305154459750&gt;&lt;code&gt;reclat_city&lt;/code&gt;&lt;/a&gt; has 7315 (16.0%) missing values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Missing&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_8079999062779176012&gt;&lt;code&gt;mass (g)&lt;/code&gt;&lt;/a&gt; is highly skewed (γ1 = 76.91847245) &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Skewed&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_7783052502505467374&gt;&lt;code&gt;name&lt;/code&gt;&lt;/a&gt; has unique values &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-primary&quot;&gt;Unique&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_-754683977342476572&gt;&lt;code&gt;reclat&lt;/code&gt;&lt;/a&gt; has 6438 (14.1%) zeros &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Zeros&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;a class=anchor href=#pp_var_109123717033001902&gt;&lt;code&gt;reclong&lt;/code&gt;&lt;/a&gt; has 6214 (13.6%) zeros &lt;/td&gt;&lt;td&gt;&lt;span class=&quot;label label-info&quot;&gt;Zeros&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=variables&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Variables&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_7783052502505467374&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=name&gt;&lt;a href=#pp_var_7783052502505467374&gt;name&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;UNIQUE&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;45726&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt;MacAlpine Hills 02522&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Elephant Moraine 90468&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Asuka 882086&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Lewis Cliff 86322&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Roberts Massif 04234&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1 &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;th width=50%&gt;Other values (45721)&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 45721 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-7783052502505467374, #minifreqtable7783052502505467374&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-7783052502505467374 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#7783052502505467374bottom-7783052502505467374common_values aria-controls=7783052502505467374bottom-7783052502505467374common_values role=tab data-toggle=tab&gt;Common Values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7783052502505467374bottom-7783052502505467374tbl aria-controls=7783052502505467374bottom-7783052502505467374tbl role=tab data-toggle=tab&gt;Length&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7783052502505467374bottom-7783052502505467374unicode aria-controls=7783052502505467374bottom-7783052502505467374unicode role=tab data-toggle=tab&gt;Unicode&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=7783052502505467374bottom-7783052502505467374common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;MacAlpine Hills 02522&quot;&gt;MacAlpine Hills 02522&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Elephant Moraine 90468&quot;&gt;Elephant Moraine 90468&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Asuka 882086&quot;&gt;Asuka 882086&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Lewis Cliff 86322&quot;&gt;Lewis Cliff 86322&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Roberts Massif 04234&quot;&gt;Roberts Massif 04234&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Elephant Moraine 96318&quot;&gt;Elephant Moraine 96318&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Reckling Peak A80266&quot;&gt;Reckling Peak A80266&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Grove Mountains 022064&quot;&gt;Grove Mountains 022064&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Dar al Gani 226&quot;&gt;Dar al Gani 226&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Elephant Moraine 90071&quot;&gt;Elephant Moraine 90071&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Lewis Cliff 86225&quot;&gt;Lewis Cliff 86225&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar 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length&lt;/th&gt;&lt;td&gt;17.78358046&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7783052502505467374bottom-7783052502505467374unicode&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#7783052502505467374unicode-7783052502505467374character_overview aria-controls=7783052502505467374unicode-7783052502505467374character_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7783052502505467374unicode-7783052502505467374characters aria-controls=7783052502505467374unicode-7783052502505467374characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7783052502505467374unicode-7783052502505467374categories aria-controls=7783052502505467374unicode-7783052502505467374categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7783052502505467374unicode-7783052502505467374scripts aria-controls=7783052502505467374unicode-7783052502505467374scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#7783052502505467374unicode-7783052502505467374blocks aria-controls=7783052502505467374unicode-7783052502505467374blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=7783052502505467374unicode-7783052502505467374character_overview&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;p class=h4&gt;Overview of Unicode Properties&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique unicode characters&lt;/th&gt;&lt;td&gt;96&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode categories (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;8&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode scripts (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode blocks (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_block&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7783052502505467374unicode-7783052502505467374characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;10.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;8.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;5.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:38.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;4.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;4.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt;r&lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;4.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;4.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;3.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;3.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt;o&lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;3.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;24444&lt;/td&gt;&lt;td&gt;3.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;22179&lt;/td&gt;&lt;td&gt;2.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;21986&lt;/td&gt;&lt;td&gt;2.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=s&gt;s&lt;/td&gt;&lt;td&gt;20972&lt;/td&gt;&lt;td&gt;2.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:16.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;19839&lt;/td&gt;&lt;td&gt;2.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;19347&lt;/td&gt;&lt;td&gt;2.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;17379&lt;/td&gt;&lt;td&gt;2.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;16001&lt;/td&gt;&lt;td&gt;2.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;14812&lt;/td&gt;&lt;td&gt;1.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;14485&lt;/td&gt;&lt;td&gt;1.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;14120&lt;/td&gt;&lt;td&gt;1.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=m&gt;m&lt;/td&gt;&lt;td&gt;12393&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=f&gt;f&lt;/td&gt;&lt;td&gt;12345&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt;u&lt;/td&gt;&lt;td&gt;12125&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h&gt;h&lt;/td&gt;&lt;td&gt;11398&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (71)&quot;&gt;Other values (71)&lt;/td&gt;&lt;td&gt;125124&lt;/td&gt;&lt;td&gt;15.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7783052502505467374unicode-7783052502505467374categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt;Lowercase Letter&lt;/td&gt;&lt;td&gt;440989&lt;/td&gt;&lt;td&gt;54.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;205415&lt;/td&gt;&lt;td&gt;25.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:46.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt;Uppercase Letter&lt;/td&gt;&lt;td&gt;84942&lt;/td&gt;&lt;td&gt;10.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Space Separator&quot;&gt;Space Separator&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;10.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Open Punctuation&quot;&gt;Open Punctuation&lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Close Punctuation&quot;&gt;Close Punctuation&lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Dash Punctuation&quot;&gt;Dash Punctuation&lt;/td&gt;&lt;td&gt;98&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Other Punctuation&quot;&gt;Other Punctuation&lt;/td&gt;&lt;td&gt;96&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Uppercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;14120&lt;/td&gt;&lt;td&gt;16.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=M&gt;M&lt;/td&gt;&lt;td&gt;11173&lt;/td&gt;&lt;td&gt;13.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:79.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt;R&lt;/td&gt;&lt;td&gt;7599&lt;/td&gt;&lt;td&gt;8.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:53.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Y&gt;Y&lt;/td&gt;&lt;td&gt;7327&lt;/td&gt;&lt;td&gt;8.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:51.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=N&gt;N&lt;/td&gt;&lt;td&gt;5796&lt;/td&gt;&lt;td&gt;6.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:41.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt;H&lt;/td&gt;&lt;td&gt;5676&lt;/td&gt;&lt;td&gt;6.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:40.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=G&gt;G&lt;/td&gt;&lt;td&gt;4682&lt;/td&gt;&lt;td&gt;5.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:33.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=L&gt;L&lt;/td&gt;&lt;td&gt;4630&lt;/td&gt;&lt;td&gt;5.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:32.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=D&gt;D&lt;/td&gt;&lt;td&gt;3777&lt;/td&gt;&lt;td&gt;4.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Q&gt;Q&lt;/td&gt;&lt;td&gt;3478&lt;/td&gt;&lt;td&gt;4.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=E&gt;E&lt;/td&gt;&lt;td&gt;3171&lt;/td&gt;&lt;td&gt;3.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:22.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=P&gt;P&lt;/td&gt;&lt;td&gt;2861&lt;/td&gt;&lt;td&gt;3.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=C&gt;C&lt;/td&gt;&lt;td&gt;2811&lt;/td&gt;&lt;td&gt;3.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=S&gt;S&lt;/td&gt;&lt;td&gt;1855&lt;/td&gt;&lt;td&gt;2.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=I&gt;I&lt;/td&gt;&lt;td&gt;1681&lt;/td&gt;&lt;td&gt;2.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=F&gt;F&lt;/td&gt;&lt;td&gt;947&lt;/td&gt;&lt;td&gt;1.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=J&gt;J&lt;/td&gt;&lt;td&gt;858&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=U&gt;U&lt;/td&gt;&lt;td&gt;581&lt;/td&gt;&lt;td&gt;0.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=B&gt;B&lt;/td&gt;&lt;td&gt;444&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=T&gt;T&lt;/td&gt;&lt;td&gt;431&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=K&gt;K&lt;/td&gt;&lt;td&gt;312&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=W&gt;W&lt;/td&gt;&lt;td&gt;269&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt;V&lt;/td&gt;&lt;td&gt;206&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=O&gt;O&lt;/td&gt;&lt;td&gt;126&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Ö&gt;Ö&lt;/td&gt;&lt;td&gt;63&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (6)&quot;&gt;Other values (6)&lt;/td&gt;&lt;td&gt;68&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Lowercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;16.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;10.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:66.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;8.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:52.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt;r&lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;7.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;7.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;7.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;7.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt;o&lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;6.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:41.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=s&gt;s&lt;/td&gt;&lt;td&gt;20972&lt;/td&gt;&lt;td&gt;4.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=m&gt;m&lt;/td&gt;&lt;td&gt;12393&lt;/td&gt;&lt;td&gt;2.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=f&gt;f&lt;/td&gt;&lt;td&gt;12345&lt;/td&gt;&lt;td&gt;2.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt;u&lt;/td&gt;&lt;td&gt;12125&lt;/td&gt;&lt;td&gt;2.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:16.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h&gt;h&lt;/td&gt;&lt;td&gt;11398&lt;/td&gt;&lt;td&gt;2.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt;c&lt;/td&gt;&lt;td&gt;9871&lt;/td&gt;&lt;td&gt;2.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;8078&lt;/td&gt;&lt;td&gt;1.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=g&gt;g&lt;/td&gt;&lt;td&gt;7532&lt;/td&gt;&lt;td&gt;1.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=w&gt;w&lt;/td&gt;&lt;td&gt;6697&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=k&gt;k&lt;/td&gt;&lt;td&gt;4404&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=p&gt;p&lt;/td&gt;&lt;td&gt;4341&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=v&gt;v&lt;/td&gt;&lt;td&gt;3713&lt;/td&gt;&lt;td&gt;0.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=x&gt;x&lt;/td&gt;&lt;td&gt;3676&lt;/td&gt;&lt;td&gt;0.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=y&gt;y&lt;/td&gt;&lt;td&gt;1963&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=z&gt;z&lt;/td&gt;&lt;td&gt;1783&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=b&gt;b&lt;/td&gt;&lt;td&gt;831&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=é&gt;é&lt;/td&gt;&lt;td&gt;204&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (24)&quot;&gt;Other values (24)&lt;/td&gt;&lt;td&gt;425&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Space Separator characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Dash Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-&gt;-&lt;/td&gt;&lt;td&gt;98&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Open Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=(&gt;(&lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Close Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=)&gt;)&lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Other Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;&#x27;&quot;&gt;&amp;#39;&lt;/td&gt;&lt;td&gt;67&lt;/td&gt;&lt;td&gt;69.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt;.&lt;/td&gt;&lt;td&gt;29&lt;/td&gt;&lt;td&gt;30.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Decimal Number characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;17.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;24444&lt;/td&gt;&lt;td&gt;11.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:70.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;22179&lt;/td&gt;&lt;td&gt;10.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:63.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;21986&lt;/td&gt;&lt;td&gt;10.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:62.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;19839&lt;/td&gt;&lt;td&gt;9.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:56.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;19347&lt;/td&gt;&lt;td&gt;9.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:55.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;17379&lt;/td&gt;&lt;td&gt;8.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:49.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;16001&lt;/td&gt;&lt;td&gt;7.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;14812&lt;/td&gt;&lt;td&gt;7.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;14485&lt;/td&gt;&lt;td&gt;7.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:41.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7783052502505467374unicode-7783052502505467374scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt;Latin&lt;/td&gt;&lt;td&gt;525931&lt;/td&gt;&lt;td&gt;64.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;287241&lt;/td&gt;&lt;td&gt;35.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Latin characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;13.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;9.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:66.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;7.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:52.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt;r&lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;6.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:45.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;6.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;6.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;5.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt;o&lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;5.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:41.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=s&gt;s&lt;/td&gt;&lt;td&gt;20972&lt;/td&gt;&lt;td&gt;4.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;14120&lt;/td&gt;&lt;td&gt;2.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=m&gt;m&lt;/td&gt;&lt;td&gt;12393&lt;/td&gt;&lt;td&gt;2.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=f&gt;f&lt;/td&gt;&lt;td&gt;12345&lt;/td&gt;&lt;td&gt;2.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt;u&lt;/td&gt;&lt;td&gt;12125&lt;/td&gt;&lt;td&gt;2.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:16.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h&gt;h&lt;/td&gt;&lt;td&gt;11398&lt;/td&gt;&lt;td&gt;2.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=M&gt;M&lt;/td&gt;&lt;td&gt;11173&lt;/td&gt;&lt;td&gt;2.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt;c&lt;/td&gt;&lt;td&gt;9871&lt;/td&gt;&lt;td&gt;1.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;8078&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt;R&lt;/td&gt;&lt;td&gt;7599&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=g&gt;g&lt;/td&gt;&lt;td&gt;7532&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Y&gt;Y&lt;/td&gt;&lt;td&gt;7327&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=w&gt;w&lt;/td&gt;&lt;td&gt;6697&lt;/td&gt;&lt;td&gt;1.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=N&gt;N&lt;/td&gt;&lt;td&gt;5796&lt;/td&gt;&lt;td&gt;1.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt;H&lt;/td&gt;&lt;td&gt;5676&lt;/td&gt;&lt;td&gt;1.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=G&gt;G&lt;/td&gt;&lt;td&gt;4682&lt;/td&gt;&lt;td&gt;0.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=L&gt;L&lt;/td&gt;&lt;td&gt;4630&lt;/td&gt;&lt;td&gt;0.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (55)&quot;&gt;Other values (55)&lt;/td&gt;&lt;td&gt;45279&lt;/td&gt;&lt;td&gt;8.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:62.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Common characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;28.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;12.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:43.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;24444&lt;/td&gt;&lt;td&gt;8.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;22179&lt;/td&gt;&lt;td&gt;7.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;21986&lt;/td&gt;&lt;td&gt;7.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:27.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;19839&lt;/td&gt;&lt;td&gt;6.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;19347&lt;/td&gt;&lt;td&gt;6.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:23.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;17379&lt;/td&gt;&lt;td&gt;6.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:21.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;16001&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;14812&lt;/td&gt;&lt;td&gt;5.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;14485&lt;/td&gt;&lt;td&gt;5.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=(&gt;(&lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=)&gt;)&lt;/td&gt;&lt;td&gt;295&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-&gt;-&lt;/td&gt;&lt;td&gt;98&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;&#x27;&quot;&gt;&amp;#39;&lt;/td&gt;&lt;td&gt;67&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt;.&lt;/td&gt;&lt;td&gt;29&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=7783052502505467374unicode-7783052502505467374blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;812688&lt;/td&gt;&lt;td&gt;99.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=None&gt;None&lt;/td&gt;&lt;td&gt;484&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent ASCII characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;81042&lt;/td&gt;&lt;td&gt;10.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:65.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;72715&lt;/td&gt;&lt;td&gt;8.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;48167&lt;/td&gt;&lt;td&gt;5.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:38.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;38392&lt;/td&gt;&lt;td&gt;4.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;34943&lt;/td&gt;&lt;td&gt;4.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt;r&lt;/td&gt;&lt;td&gt;33097&lt;/td&gt;&lt;td&gt;4.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;32658&lt;/td&gt;&lt;td&gt;4.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;31873&lt;/td&gt;&lt;td&gt;3.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;30898&lt;/td&gt;&lt;td&gt;3.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt;o&lt;/td&gt;&lt;td&gt;30438&lt;/td&gt;&lt;td&gt;3.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;24444&lt;/td&gt;&lt;td&gt;3.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;22179&lt;/td&gt;&lt;td&gt;2.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;21986&lt;/td&gt;&lt;td&gt;2.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=s&gt;s&lt;/td&gt;&lt;td&gt;20972&lt;/td&gt;&lt;td&gt;2.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:16.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;19839&lt;/td&gt;&lt;td&gt;2.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;19347&lt;/td&gt;&lt;td&gt;2.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;17379&lt;/td&gt;&lt;td&gt;2.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;16001&lt;/td&gt;&lt;td&gt;2.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;14812&lt;/td&gt;&lt;td&gt;1.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;14485&lt;/td&gt;&lt;td&gt;1.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;14120&lt;/td&gt;&lt;td&gt;1.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=m&gt;m&lt;/td&gt;&lt;td&gt;12393&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=f&gt;f&lt;/td&gt;&lt;td&gt;12345&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt;u&lt;/td&gt;&lt;td&gt;12125&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h&gt;h&lt;/td&gt;&lt;td&gt;11398&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (43)&quot;&gt;Other values (43)&lt;/td&gt;&lt;td&gt;124640&lt;/td&gt;&lt;td&gt;15.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent None characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=é&gt;é&lt;/td&gt;&lt;td&gt;204&lt;/td&gt;&lt;td&gt;42.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ş&gt;ş&lt;/td&gt;&lt;td&gt;125&lt;/td&gt;&lt;td&gt;25.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:61.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Ö&gt;Ö&lt;/td&gt;&lt;td&gt;63&lt;/td&gt;&lt;td&gt;13.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ö&gt;ö&lt;/td&gt;&lt;td&gt;11&lt;/td&gt;&lt;td&gt;2.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=á&gt;á&lt;/td&gt;&lt;td&gt;11&lt;/td&gt;&lt;td&gt;2.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ä&gt;ä&lt;/td&gt;&lt;td&gt;10&lt;/td&gt;&lt;td&gt;2.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ó&gt;ó&lt;/td&gt;&lt;td&gt;8&lt;/td&gt;&lt;td&gt;1.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ñ&gt;ñ&lt;/td&gt;&lt;td&gt;8&lt;/td&gt;&lt;td&gt;1.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ü&gt;ü&lt;/td&gt;&lt;td&gt;8&lt;/td&gt;&lt;td&gt;1.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td 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title=ï&gt;ï&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ê&gt;ê&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ø&gt;ø&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ł&gt;ł&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=ù&gt;ù&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Ç&gt;Ç&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=â&gt;â&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=É&gt;É&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Ł&gt;Ł&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=è&gt;è&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td 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href=#-7696066222291898070bottom--7696066222291898070statistics aria-controls=-7696066222291898070bottom--7696066222291898070statistics role=tab data-toggle=tab&gt;Statistics&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7696066222291898070bottom--7696066222291898070histograms aria-controls=-7696066222291898070bottom--7696066222291898070histograms role=tab data-toggle=tab&gt;Histogram(s)&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7696066222291898070bottom--7696066222291898070common_values aria-controls=-7696066222291898070bottom--7696066222291898070common_values role=tab data-toggle=tab&gt;Common values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7696066222291898070bottom--7696066222291898070extreme_values aria-controls=-7696066222291898070bottom--7696066222291898070extreme_values role=tab data-toggle=tab&gt;Extreme values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-7696066222291898070bottom--7696066222291898070statistics&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Quantile statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5-th percentile&lt;/th&gt;&lt;td&gt;2388.75&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q1&lt;/th&gt;&lt;td&gt;12681.25&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;median&lt;/th&gt;&lt;td&gt;24256.5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q3&lt;/th&gt;&lt;td&gt;40653.5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;95-th percentile&lt;/th&gt;&lt;td&gt;54890.75&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;57458&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Range&lt;/th&gt;&lt;td&gt;57457&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Interquartile range (IQR)&lt;/th&gt;&lt;td&gt;27972.25&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Descriptive statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Standard deviation&lt;/th&gt;&lt;td&gt;16863.44557&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Coefficient of variation (CV)&lt;/th&gt;&lt;td&gt;0.6272691713&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Kurtosis&lt;/th&gt;&lt;td&gt;-1.160130804&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;26883.9062&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median Absolute Deviation (MAD)&lt;/th&gt;&lt;td&gt;13264&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Skewness&lt;/th&gt;&lt;td&gt;0.2665300704&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Sum&lt;/th&gt;&lt;td&gt;1229293495&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Variance&lt;/th&gt;&lt;td&gt;284375796.4&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; 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&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7696066222291898070bottom--7696066222291898070common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=417&gt;417&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=398&gt;398&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=392&gt;392&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=370&gt;370&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=379&gt;379&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=390&gt;390&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=10&gt;10&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1290&gt;1290&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=19715&gt;19715&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7433&gt;7433&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5384&gt;5384&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=27911&gt;27911&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=29956&gt;29956&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3339&gt;3339&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2047&gt;2047&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=17666&gt;17666&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=23809&gt;23809&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=21760&gt;21760&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=48381&gt;48381&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=46332&gt;46332&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=36091&gt;36091&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=34042&gt;34042&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (45691)&quot;&gt;Other values (45691)&lt;/td&gt;&lt;td&gt;45691&lt;/td&gt;&lt;td&gt;99.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7696066222291898070bottom--7696066222291898070extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-7696066222291898070extreme_values--7696066222291898070firstn aria-controls=-7696066222291898070extreme_values--7696066222291898070firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-7696066222291898070extreme_values--7696066222291898070lastn aria-controls=-7696066222291898070extreme_values--7696066222291898070lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-7696066222291898070extreme_values--7696066222291898070firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=10&gt;10&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=11&gt;11&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-7696066222291898070extreme_values--7696066222291898070lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=57458&gt;57458&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57457&gt;57457&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57456&gt;57456&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57455&gt;57455&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57454&gt;57454&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57453&gt;57453&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57436&gt;57436&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57435&gt;57435&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57434&gt;57434&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57433&gt;57433&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-5323387821230590675&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=nametype&gt;&lt;a href=#pp_var_-5323387821230590675&gt;nametype&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt;Valid&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 45651 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Relict&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:0.2% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 75 &lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--5323387821230590675, #minifreqtable-5323387821230590675&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--5323387821230590675 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-5323387821230590675bottom--5323387821230590675common_values aria-controls=-5323387821230590675bottom--5323387821230590675common_values role=tab data-toggle=tab&gt;Common Values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5323387821230590675bottom--5323387821230590675tbl aria-controls=-5323387821230590675bottom--5323387821230590675tbl role=tab data-toggle=tab&gt;Length&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5323387821230590675bottom--5323387821230590675unicode aria-controls=-5323387821230590675bottom--5323387821230590675unicode role=tab data-toggle=tab&gt;Unicode&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-5323387821230590675bottom--5323387821230590675common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Valid&gt;Valid&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;99.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td 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class=col-sm-6&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;6&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;5.001640205&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;5&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-5323387821230590675bottom--5323387821230590675unicode&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-5323387821230590675unicode--5323387821230590675character_overview aria-controls=-5323387821230590675unicode--5323387821230590675character_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5323387821230590675unicode--5323387821230590675characters aria-controls=-5323387821230590675unicode--5323387821230590675characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5323387821230590675unicode--5323387821230590675categories aria-controls=-5323387821230590675unicode--5323387821230590675categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5323387821230590675unicode--5323387821230590675scripts aria-controls=-5323387821230590675unicode--5323387821230590675scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5323387821230590675unicode--5323387821230590675blocks aria-controls=-5323387821230590675unicode--5323387821230590675blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-5323387821230590675unicode--5323387821230590675character_overview&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;p class=h4&gt;Overview of Unicode Properties&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique unicode characters&lt;/th&gt;&lt;td&gt;9&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode categories (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode scripts (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode blocks (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_block&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-5323387821230590675unicode--5323387821230590675characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt;V&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt;R&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt;c&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-5323387821230590675unicode--5323387821230590675categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt;Lowercase Letter&lt;/td&gt;&lt;td&gt;182979&lt;/td&gt;&lt;td&gt;80.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt;Uppercase Letter&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Uppercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=V&gt;V&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;99.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt;R&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Lowercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;25.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;25.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;24.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;24.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt;c&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-5323387821230590675unicode--5323387821230590675scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt;Latin&lt;/td&gt;&lt;td&gt;228705&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Latin characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt;V&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt;R&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt;c&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-5323387821230590675unicode--5323387821230590675blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;228705&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent ASCII characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt;V&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;45651&lt;/td&gt;&lt;td&gt;20.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt;R&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt;c&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;75&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_8919584742510493448&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=recclass&gt;&lt;a href=#pp_var_8919584742510493448&gt;recclass&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;HIGH CARDINALITY&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;466&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt;L6&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:49.4% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 8287 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;H5&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:42.6% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 7143 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;L5&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:28.6% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 4797 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;H6&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:27.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 4529 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;H4&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:25.1% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 4211 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;th width=50%&gt;Other values (461)&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 16759 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-8919584742510493448, #minifreqtable8919584742510493448&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-8919584742510493448 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#8919584742510493448bottom-8919584742510493448common_values aria-controls=8919584742510493448bottom-8919584742510493448common_values role=tab data-toggle=tab&gt;Common Values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8919584742510493448bottom-8919584742510493448tbl aria-controls=8919584742510493448bottom-8919584742510493448tbl role=tab data-toggle=tab&gt;Length&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8919584742510493448bottom-8919584742510493448unicode aria-controls=8919584742510493448bottom-8919584742510493448unicode role=tab data-toggle=tab&gt;Unicode&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=8919584742510493448bottom-8919584742510493448common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L6&gt;L6&lt;/td&gt;&lt;td&gt;8287&lt;/td&gt;&lt;td&gt;18.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H5&gt;H5&lt;/td&gt;&lt;td&gt;7143&lt;/td&gt;&lt;td&gt;15.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:86.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=L5&gt;L5&lt;/td&gt;&lt;td&gt;4797&lt;/td&gt;&lt;td&gt;10.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H6&gt;H6&lt;/td&gt;&lt;td&gt;4529&lt;/td&gt;&lt;td&gt;9.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:54.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H4&gt;H4&lt;/td&gt;&lt;td&gt;4211&lt;/td&gt;&lt;td&gt;9.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=LL5&gt;LL5&lt;/td&gt;&lt;td&gt;2766&lt;/td&gt;&lt;td&gt;6.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:33.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=LL6&gt;LL6&lt;/td&gt;&lt;td&gt;2043&lt;/td&gt;&lt;td&gt;4.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=L4&gt;L4&lt;/td&gt;&lt;td&gt;1253&lt;/td&gt;&lt;td&gt;2.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H4/5&gt;H4/5&lt;/td&gt;&lt;td&gt;428&lt;/td&gt;&lt;td&gt;0.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=CM2&gt;CM2&lt;/td&gt;&lt;td&gt;416&lt;/td&gt;&lt;td&gt;0.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H3&gt;H3&lt;/td&gt;&lt;td&gt;386&lt;/td&gt;&lt;td&gt;0.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=L3&gt;L3&lt;/td&gt;&lt;td&gt;365&lt;/td&gt;&lt;td&gt;0.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=CO3&gt;CO3&lt;/td&gt;&lt;td&gt;335&lt;/td&gt;&lt;td&gt;0.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Ureilite&gt;Ureilite&lt;/td&gt;&lt;td&gt;300&lt;/td&gt;&lt;td&gt;0.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Iron, IIIAB&quot;&gt;Iron, IIIAB&lt;/td&gt;&lt;td&gt;285&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=LL4&gt;LL4&lt;/td&gt;&lt;td&gt;268&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=CV3&gt;CV3&lt;/td&gt;&lt;td&gt;256&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Diogenite&gt;Diogenite&lt;/td&gt;&lt;td&gt;241&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Howardite&gt;Howardite&lt;/td&gt;&lt;td&gt;240&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=LL&gt;LL&lt;/td&gt;&lt;td&gt;225&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar 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252.369322 \nz\n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_13&gt;&lt;path style=fill:none; d=&quot;M 63.425 252.381088 \nL 63.425 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_14&gt;&lt;path style=fill:none; d=&quot;M 421.2 252.381088 \nL 421.2 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_15&gt;&lt;path style=fill:none; d=&quot;M 63.425 252.381088 \nL 421.2 252.381088 \n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_16&gt;&lt;path style=fill:none; d=&quot;M 63.425 10.8 \nL 421.2 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pa1d1f43821&gt;&lt;rect height=241.581088 width=357.775 x=63.425 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;26&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;3.052530289&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8919584742510493448bottom-8919584742510493448unicode&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#8919584742510493448unicode-8919584742510493448character_overview aria-controls=8919584742510493448unicode-8919584742510493448character_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8919584742510493448unicode-8919584742510493448characters aria-controls=8919584742510493448unicode-8919584742510493448characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8919584742510493448unicode-8919584742510493448categories aria-controls=8919584742510493448unicode-8919584742510493448categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8919584742510493448unicode-8919584742510493448scripts aria-controls=8919584742510493448unicode-8919584742510493448scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8919584742510493448unicode-8919584742510493448blocks aria-controls=8919584742510493448unicode-8919584742510493448blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=8919584742510493448unicode-8919584742510493448character_overview&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;p class=h4&gt;Overview of Unicode Properties&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique unicode characters&lt;/th&gt;&lt;td&gt;62&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode categories (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;9&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode scripts (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode blocks (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_block&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8919584742510493448unicode-8919584742510493448characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt;L&lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;20.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt;H&lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;13.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;11.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;11.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:56.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;5.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;2.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:14.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;2.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt;r&lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;2.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;2.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;2.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=I&gt;I&lt;/td&gt;&lt;td&gt;2753&lt;/td&gt;&lt;td&gt;2.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;2520&lt;/td&gt;&lt;td&gt;1.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt;o&lt;/td&gt;&lt;td&gt;2458&lt;/td&gt;&lt;td&gt;1.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-&gt;-&lt;/td&gt;&lt;td&gt;1835&lt;/td&gt;&lt;td&gt;1.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=C&gt;C&lt;/td&gt;&lt;td&gt;1785&lt;/td&gt;&lt;td&gt;1.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt;c&lt;/td&gt;&lt;td&gt;1767&lt;/td&gt;&lt;td&gt;1.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;1747&lt;/td&gt;&lt;td&gt;1.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt;u&lt;/td&gt;&lt;td&gt;1469&lt;/td&gt;&lt;td&gt;1.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;1409&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=E&gt;E&lt;/td&gt;&lt;td&gt;1261&lt;/td&gt;&lt;td&gt;0.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=/ &gt;/&lt;/td&gt;&lt;td&gt;1174&lt;/td&gt;&lt;td&gt;0.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt;.&lt;/td&gt;&lt;td&gt;1064&lt;/td&gt;&lt;td&gt;0.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt;,&lt;/td&gt;&lt;td&gt;1031&lt;/td&gt;&lt;td&gt;0.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;1016&lt;/td&gt;&lt;td&gt;0.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;985&lt;/td&gt;&lt;td&gt;0.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (37)&quot;&gt;Other values (37)&lt;/td&gt;&lt;td&gt;10903&lt;/td&gt;&lt;td&gt;7.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:38.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8919584742510493448unicode-8919584742510493448categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt;Uppercase Letter&lt;/td&gt;&lt;td&gt;57793&lt;/td&gt;&lt;td&gt;41.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;44118&lt;/td&gt;&lt;td&gt;31.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:76.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt;Lowercase Letter&lt;/td&gt;&lt;td&gt;29926&lt;/td&gt;&lt;td&gt;21.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:51.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Other Punctuation&quot;&gt;Other Punctuation&lt;/td&gt;&lt;td&gt;3293&lt;/td&gt;&lt;td&gt;2.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Dash Punctuation&quot;&gt;Dash Punctuation&lt;/td&gt;&lt;td&gt;1835&lt;/td&gt;&lt;td&gt;1.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Space Separator&quot;&gt;Space Separator&lt;/td&gt;&lt;td&gt;1747&lt;/td&gt;&lt;td&gt;1.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Math Symbol&quot;&gt;Math Symbol&lt;/td&gt;&lt;td&gt;320&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Open Punctuation&quot;&gt;Open Punctuation&lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Close Punctuation&quot;&gt;Close Punctuation&lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Uppercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt;L&lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;49.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt;H&lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;31.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=I&gt;I&lt;/td&gt;&lt;td&gt;2753&lt;/td&gt;&lt;td&gt;4.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=C&gt;C&lt;/td&gt;&lt;td&gt;1785&lt;/td&gt;&lt;td&gt;3.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=E&gt;E&lt;/td&gt;&lt;td&gt;1261&lt;/td&gt;&lt;td&gt;2.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;985&lt;/td&gt;&lt;td&gt;1.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=M&gt;M&lt;/td&gt;&lt;td&gt;913&lt;/td&gt;&lt;td&gt;1.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=B&gt;B&lt;/td&gt;&lt;td&gt;754&lt;/td&gt;&lt;td&gt;1.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=O&gt;O&lt;/td&gt;&lt;td&gt;542&lt;/td&gt;&lt;td&gt;0.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=V&gt;V&lt;/td&gt;&lt;td&gt;350&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=R&gt;R&lt;/td&gt;&lt;td&gt;350&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=U&gt;U&lt;/td&gt;&lt;td&gt;334&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=D&gt;D&lt;/td&gt;&lt;td&gt;285&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=K&gt;K&lt;/td&gt;&lt;td&gt;231&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=P&gt;P&lt;/td&gt;&lt;td&gt;148&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=G&gt;G&lt;/td&gt;&lt;td&gt;139&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=S&gt;S&lt;/td&gt;&lt;td&gt;55&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=W&gt;W&lt;/td&gt;&lt;td&gt;25&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=F&gt;F&lt;/td&gt;&lt;td&gt;19&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=X&gt;X&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Decimal Number characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;37.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;36.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:98.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;15.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;7.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;646&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;251&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;216&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;111&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;100&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;35&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Lowercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;13.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;12.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:96.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt;r&lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;12.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:91.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;11.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:83.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;2520&lt;/td&gt;&lt;td&gt;8.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:63.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt;o&lt;/td&gt;&lt;td&gt;2458&lt;/td&gt;&lt;td&gt;8.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:61.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt;c&lt;/td&gt;&lt;td&gt;1767&lt;/td&gt;&lt;td&gt;5.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt;u&lt;/td&gt;&lt;td&gt;1469&lt;/td&gt;&lt;td&gt;4.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:37.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;1409&lt;/td&gt;&lt;td&gt;4.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:35.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;1016&lt;/td&gt;&lt;td&gt;3.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=m&gt;m&lt;/td&gt;&lt;td&gt;786&lt;/td&gt;&lt;td&gt;2.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=s&gt;s&lt;/td&gt;&lt;td&gt;713&lt;/td&gt;&lt;td&gt;2.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:18.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;708&lt;/td&gt;&lt;td&gt;2.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=g&gt;g&lt;/td&gt;&lt;td&gt;671&lt;/td&gt;&lt;td&gt;2.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:16.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=p&gt;p&lt;/td&gt;&lt;td&gt;558&lt;/td&gt;&lt;td&gt;1.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:14.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=b&gt;b&lt;/td&gt;&lt;td&gt;353&lt;/td&gt;&lt;td&gt;1.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=h&gt;h&lt;/td&gt;&lt;td&gt;312&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=w&gt;w&lt;/td&gt;&lt;td&gt;248&lt;/td&gt;&lt;td&gt;0.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=k&gt;k&lt;/td&gt;&lt;td&gt;63&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=x&gt;x&lt;/td&gt;&lt;td&gt;54&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=f&gt;f&lt;/td&gt;&lt;td&gt;31&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=v&gt;v&lt;/td&gt;&lt;td&gt;9&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Dash Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-&gt;-&lt;/td&gt;&lt;td&gt;1835&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Other Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=/ &gt;/&lt;/td&gt;&lt;td&gt;1174&lt;/td&gt;&lt;td&gt;35.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt;.&lt;/td&gt;&lt;td&gt;1064&lt;/td&gt;&lt;td&gt;32.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:90.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt;,&lt;/td&gt;&lt;td&gt;1031&lt;/td&gt;&lt;td&gt;31.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:87.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=?&gt;?&lt;/td&gt;&lt;td&gt;24&lt;/td&gt;&lt;td&gt;0.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Space Separator characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;1747&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Open Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=(&gt;(&lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Close Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=)&gt;)&lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Math Symbol characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=~&gt;~&lt;/td&gt;&lt;td&gt;319&lt;/td&gt;&lt;td&gt;99.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;&lt;&quot;&gt;&amp;lt;&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8919584742510493448unicode-8919584742510493448scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt;Latin&lt;/td&gt;&lt;td&gt;87719&lt;/td&gt;&lt;td&gt;62.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;51861&lt;/td&gt;&lt;td&gt;37.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:59.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Latin characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt;L&lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;32.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt;H&lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;21.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;4.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:14.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;4.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt;r&lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;4.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;3.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=I&gt;I&lt;/td&gt;&lt;td&gt;2753&lt;/td&gt;&lt;td&gt;3.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;2520&lt;/td&gt;&lt;td&gt;2.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt;o&lt;/td&gt;&lt;td&gt;2458&lt;/td&gt;&lt;td&gt;2.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=C&gt;C&lt;/td&gt;&lt;td&gt;1785&lt;/td&gt;&lt;td&gt;2.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=c&gt;c&lt;/td&gt;&lt;td&gt;1767&lt;/td&gt;&lt;td&gt;2.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt;u&lt;/td&gt;&lt;td&gt;1469&lt;/td&gt;&lt;td&gt;1.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;1409&lt;/td&gt;&lt;td&gt;1.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=E&gt;E&lt;/td&gt;&lt;td&gt;1261&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;1016&lt;/td&gt;&lt;td&gt;1.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;985&lt;/td&gt;&lt;td&gt;1.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=M&gt;M&lt;/td&gt;&lt;td&gt;913&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=m&gt;m&lt;/td&gt;&lt;td&gt;786&lt;/td&gt;&lt;td&gt;0.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=B&gt;B&lt;/td&gt;&lt;td&gt;754&lt;/td&gt;&lt;td&gt;0.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=s&gt;s&lt;/td&gt;&lt;td&gt;713&lt;/td&gt;&lt;td&gt;0.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;708&lt;/td&gt;&lt;td&gt;0.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=g&gt;g&lt;/td&gt;&lt;td&gt;671&lt;/td&gt;&lt;td&gt;0.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=p&gt;p&lt;/td&gt;&lt;td&gt;558&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=O&gt;O&lt;/td&gt;&lt;td&gt;542&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=b&gt;b&lt;/td&gt;&lt;td&gt;353&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (17)&quot;&gt;Other values (17)&lt;/td&gt;&lt;td&gt;2654&lt;/td&gt;&lt;td&gt;3.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Common characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;31.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;31.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:98.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;13.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;6.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:20.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-&gt;-&lt;/td&gt;&lt;td&gt;1835&lt;/td&gt;&lt;td&gt;3.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;1747&lt;/td&gt;&lt;td&gt;3.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=/ &gt;/&lt;/td&gt;&lt;td&gt;1174&lt;/td&gt;&lt;td&gt;2.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=.&gt;.&lt;/td&gt;&lt;td&gt;1064&lt;/td&gt;&lt;td&gt;2.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt;,&lt;/td&gt;&lt;td&gt;1031&lt;/td&gt;&lt;td&gt;2.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;646&lt;/td&gt;&lt;td&gt;1.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=~&gt;~&lt;/td&gt;&lt;td&gt;319&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=(&gt;(&lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=)&gt;)&lt;/td&gt;&lt;td&gt;274&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;251&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;216&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;111&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;100&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;35&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=?&gt;?&lt;/td&gt;&lt;td&gt;24&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;&lt;&quot;&gt;&amp;lt;&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8919584742510493448unicode-8919584742510493448blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;139580&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent ASCII characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=L&gt;L&lt;/td&gt;&lt;td&gt;28467&lt;/td&gt;&lt;td&gt;20.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=H&gt;H&lt;/td&gt;&lt;td&gt;18396&lt;/td&gt;&lt;td&gt;13.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:64.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;16419&lt;/td&gt;&lt;td&gt;11.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;16132&lt;/td&gt;&lt;td&gt;11.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:56.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;6930&lt;/td&gt;&lt;td&gt;5.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:24.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;3972&lt;/td&gt;&lt;td&gt;2.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:14.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=i&gt;i&lt;/td&gt;&lt;td&gt;3834&lt;/td&gt;&lt;td&gt;2.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:13.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=r&gt;r&lt;/td&gt;&lt;td&gt;3648&lt;/td&gt;&lt;td&gt;2.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:12.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=t&gt;t&lt;/td&gt;&lt;td&gt;3327&lt;/td&gt;&lt;td&gt;2.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;3278&lt;/td&gt;&lt;td&gt;2.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=I&gt;I&lt;/td&gt;&lt;td&gt;2753&lt;/td&gt;&lt;td&gt;2.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;2520&lt;/td&gt;&lt;td&gt;1.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td 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title=,&gt;,&lt;/td&gt;&lt;td&gt;1031&lt;/td&gt;&lt;td&gt;0.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;1016&lt;/td&gt;&lt;td&gt;0.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;985&lt;/td&gt;&lt;td&gt;0.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (37)&quot;&gt;Other values (37)&lt;/td&gt;&lt;td&gt;10903&lt;/td&gt;&lt;td&gt;7.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:38.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos 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text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-8079999062779176012, #minifreqtable8079999062779176012&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-8079999062779176012 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#8079999062779176012bottom-8079999062779176012statistics aria-controls=8079999062779176012bottom-8079999062779176012statistics role=tab data-toggle=tab&gt;Statistics&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8079999062779176012bottom-8079999062779176012histograms aria-controls=8079999062779176012bottom-8079999062779176012histograms role=tab data-toggle=tab&gt;Histogram(s)&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8079999062779176012bottom-8079999062779176012common_values aria-controls=8079999062779176012bottom-8079999062779176012common_values role=tab data-toggle=tab&gt;Common values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8079999062779176012bottom-8079999062779176012extreme_values aria-controls=8079999062779176012bottom-8079999062779176012extreme_values role=tab data-toggle=tab&gt;Extreme values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=8079999062779176012bottom-8079999062779176012statistics&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Quantile statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5-th percentile&lt;/th&gt;&lt;td&gt;1.1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q1&lt;/th&gt;&lt;td&gt;7.2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;median&lt;/th&gt;&lt;td&gt;32.61&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q3&lt;/th&gt;&lt;td&gt;202.9&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;95-th percentile&lt;/th&gt;&lt;td&gt;4000&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;60000000&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Range&lt;/th&gt;&lt;td&gt;60000000&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Interquartile range (IQR)&lt;/th&gt;&lt;td&gt;195.7&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Descriptive statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Standard deviation&lt;/th&gt;&lt;td&gt;574926.0121&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Coefficient of variation (CV)&lt;/th&gt;&lt;td&gt;43.2977517&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Kurtosis&lt;/th&gt;&lt;td&gt;6798.398388&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;13278.42646&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median Absolute Deviation (MAD)&lt;/th&gt;&lt;td&gt;30.51&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Skewness&lt;/th&gt;&lt;td&gt;76.91847245&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Sum&lt;/th&gt;&lt;td&gt;605429854.6&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Variance&lt;/th&gt;&lt;td&gt;3.305399193e+11&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8079999062779176012bottom-8079999062779176012histograms&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#8079999062779176012histograms-8079999062779176012histogram 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id=8079999062779176012bottom-8079999062779176012common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1.3&gt;1.3&lt;/td&gt;&lt;td&gt;171&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.2&gt;1.2&lt;/td&gt;&lt;td&gt;140&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.4&gt;1.4&lt;/td&gt;&lt;td&gt;138&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.1&gt;2.1&lt;/td&gt;&lt;td&gt;130&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.4&gt;2.4&lt;/td&gt;&lt;td&gt;126&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.6&gt;1.6&lt;/td&gt;&lt;td&gt;120&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.5&gt;0.5&lt;/td&gt;&lt;td&gt;119&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.1&gt;1.1&lt;/td&gt;&lt;td&gt;116&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.8&gt;3.8&lt;/td&gt;&lt;td&gt;114&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.7&gt;0.7&lt;/td&gt;&lt;td&gt;111&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.5&gt;1.5&lt;/td&gt;&lt;td&gt;111&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.1&gt;3.1&lt;/td&gt;&lt;td&gt;109&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.7&gt;1.7&lt;/td&gt;&lt;td&gt;109&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.2&gt;3.2&lt;/td&gt;&lt;td&gt;109&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;108&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.9&gt;0.9&lt;/td&gt;&lt;td&gt;108&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.6&gt;0.6&lt;/td&gt;&lt;td&gt;108&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.8&gt;0.8&lt;/td&gt;&lt;td&gt;107&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1.8&gt;1.8&lt;/td&gt;&lt;td&gt;104&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.5&gt;2.5&lt;/td&gt;&lt;td&gt;103&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2.7&gt;2.7&lt;/td&gt;&lt;td&gt;102&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;96&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;96&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.6&gt;3.6&lt;/td&gt;&lt;td&gt;96&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4.2&gt;4.2&lt;/td&gt;&lt;td&gt;95&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (12551)&quot;&gt;Other values (12551)&lt;/td&gt;&lt;td&gt;42749&lt;/td&gt;&lt;td&gt;93.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt;(Missing)&lt;/td&gt;&lt;td&gt;131&lt;/td&gt;&lt;td&gt;0.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8079999062779176012bottom-8079999062779176012extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#8079999062779176012extreme_values-8079999062779176012firstn aria-controls=8079999062779176012extreme_values-8079999062779176012firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#8079999062779176012extreme_values-8079999062779176012lastn aria-controls=8079999062779176012extreme_values-8079999062779176012lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=8079999062779176012extreme_values-8079999062779176012firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;19&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.01&gt;0.01&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.013&gt;0.013&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.02&gt;0.02&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.03&gt;0.03&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.04&gt;0.04&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.05&gt;0.05&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.06&gt;0.06&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.07&gt;0.07&lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:15.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0.08&gt;0.08&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:10.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=8079999062779176012extreme_values-8079999062779176012lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=60000000&gt;60000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=58200000&gt;58200000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=50000000&gt;50000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=30000000&gt;30000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=28000000&gt;28000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26000000&gt;26000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=24300000&gt;24300000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=24000000&gt;24000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=23000000&gt;23000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=22000000&gt;22000000&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-5679144857642360403&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=fall&gt;&lt;a href=#pp_var_-5679144857642360403&gt;fall&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt;Found&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 44609 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;Fell&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:2.5% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1117 &lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--5679144857642360403, #minifreqtable-5679144857642360403&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--5679144857642360403 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-5679144857642360403bottom--5679144857642360403common_values aria-controls=-5679144857642360403bottom--5679144857642360403common_values role=tab data-toggle=tab&gt;Common Values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5679144857642360403bottom--5679144857642360403tbl aria-controls=-5679144857642360403bottom--5679144857642360403tbl role=tab data-toggle=tab&gt;Length&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5679144857642360403bottom--5679144857642360403unicode aria-controls=-5679144857642360403bottom--5679144857642360403unicode role=tab data-toggle=tab&gt;Unicode&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-5679144857642360403bottom--5679144857642360403common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Found&gt;Found&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;97.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar 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href=#-5679144857642360403unicode--5679144857642360403character_overview aria-controls=-5679144857642360403unicode--5679144857642360403character_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5679144857642360403unicode--5679144857642360403characters aria-controls=-5679144857642360403unicode--5679144857642360403characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5679144857642360403unicode--5679144857642360403categories aria-controls=-5679144857642360403unicode--5679144857642360403categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5679144857642360403unicode--5679144857642360403scripts aria-controls=-5679144857642360403unicode--5679144857642360403scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-5679144857642360403unicode--5679144857642360403blocks aria-controls=-5679144857642360403unicode--5679144857642360403blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-5679144857642360403unicode--5679144857642360403character_overview&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;p class=h4&gt;Overview of Unicode Properties&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique unicode characters&lt;/th&gt;&lt;td&gt;7&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode categories (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode scripts (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode blocks (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_block&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-5679144857642360403unicode--5679144857642360403characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=F&gt;F&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;20.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt;o&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;19.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt;u&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;19.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;19.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;19.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-5679144857642360403unicode--5679144857642360403categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt;Lowercase Letter&lt;/td&gt;&lt;td&gt;181787&lt;/td&gt;&lt;td&gt;79.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt;Uppercase Letter&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;20.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Uppercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=F&gt;F&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Lowercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=o&gt;o&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;24.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt;u&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;24.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;24.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;24.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;1.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-5679144857642360403unicode--5679144857642360403scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt;Latin&lt;/td&gt;&lt;td&gt;227513&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Latin characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=F&gt;F&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;20.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=o&gt;o&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;19.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=u&gt;u&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;19.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;19.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=d&gt;d&lt;/td&gt;&lt;td&gt;44609&lt;/td&gt;&lt;td&gt;19.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:97.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=l&gt;l&lt;/td&gt;&lt;td&gt;2234&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:4.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=e&gt;e&lt;/td&gt;&lt;td&gt;1117&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-5679144857642360403unicode--5679144857642360403blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;227513&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent ASCII characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency 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CORRELATION&lt;/abbr&gt;&lt;/code&gt;&lt;br&gt;&lt;code&gt;MISSING&lt;/code&gt;&lt;br&gt;&lt;code&gt;ZEROS&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;12738&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;33.2%&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;7315&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;-39.107095143292284&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;-87.36667&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;81.16667&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Zeros&lt;/th&gt;&lt;td&gt;6438&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Zeros (%)&lt;/th&gt;&lt;td&gt;14.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;?xml version=&quot;1.0&quot; encoding=&quot;utf-8&quot; standalone=&quot;no&quot;?&gt;&lt;!DOCTYPE svg class=&quot;img-responsive center-img&quot;PUBLIC &quot;-//W3C//DTD SVG 1.1//EN&quot;\n  &quot;http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd&quot;&gt;&lt;svg class=&quot;img-responsive center-img&quot; height=108pt version=1.1 viewbox=&quot;0 0 144 108&quot; width=144pt 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aria-controls=-754683977342476572bottom--754683977342476572statistics role=tab data-toggle=tab&gt;Statistics&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-754683977342476572bottom--754683977342476572histograms aria-controls=-754683977342476572bottom--754683977342476572histograms role=tab data-toggle=tab&gt;Histogram(s)&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-754683977342476572bottom--754683977342476572common_values aria-controls=-754683977342476572bottom--754683977342476572common_values role=tab data-toggle=tab&gt;Common values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-754683977342476572bottom--754683977342476572extreme_values aria-controls=-754683977342476572bottom--754683977342476572extreme_values role=tab data-toggle=tab&gt;Extreme values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-754683977342476572bottom--754683977342476572statistics&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Quantile statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;-87.36667&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5-th percentile&lt;/th&gt;&lt;td&gt;-84.35476&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q1&lt;/th&gt;&lt;td&gt;-76.71377&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;median&lt;/th&gt;&lt;td&gt;-71.5&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q3&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;95-th percentile&lt;/th&gt;&lt;td&gt;34.494325&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;81.16667&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Range&lt;/th&gt;&lt;td&gt;168.53334&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Interquartile range (IQR)&lt;/th&gt;&lt;td&gt;76.71377&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Descriptive statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Standard deviation&lt;/th&gt;&lt;td&gt;46.38601095&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Coefficient of variation (CV)&lt;/th&gt;&lt;td&gt;-1.186127755&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Kurtosis&lt;/th&gt;&lt;td&gt;-1.476865084&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;-39.10709514&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median Absolute Deviation (MAD)&lt;/th&gt;&lt;td&gt;12.76459&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Skewness&lt;/th&gt;&lt;td&gt;0.4913157316&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Sum&lt;/th&gt;&lt;td&gt;-1502142.632&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Variance&lt;/th&gt;&lt;td&gt;2151.662012&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-754683977342476572bottom--754683977342476572histograms&gt;&lt;div 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248.226835 \nL 421.2 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_15&gt;&lt;path style=fill:none; d=&quot;M 63.425 248.226835 \nL 421.2 248.226835 \n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_16&gt;&lt;path style=fill:none; d=&quot;M 63.425 10.8 \nL 421.2 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p8a36b99d64&gt;&lt;rect height=237.426835 width=357.775 x=63.425 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=10) &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-754683977342476572bottom--754683977342476572common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;6438&lt;/td&gt;&lt;td&gt;14.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:34.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-71.5&gt;-71.5&lt;/td&gt;&lt;td&gt;4761&lt;/td&gt;&lt;td&gt;10.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-84&gt;-84&lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;6.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:16.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72&gt;-72&lt;/td&gt;&lt;td&gt;1506&lt;/td&gt;&lt;td&gt;3.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-79.68333&gt;-79.68333&lt;/td&gt;&lt;td&gt;1130&lt;/td&gt;&lt;td&gt;2.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-76.71667&gt;-76.71667&lt;/td&gt;&lt;td&gt;680&lt;/td&gt;&lt;td&gt;1.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-76.18333&gt;-76.18333&lt;/td&gt;&lt;td&gt;539&lt;/td&gt;&lt;td&gt;1.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-84.21667&gt;-84.21667&lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.36667&gt;-86.36667&lt;/td&gt;&lt;td&gt;226&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.71667&gt;-86.71667&lt;/td&gt;&lt;td&gt;217&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-85.66667&gt;-85.66667&lt;/td&gt;&lt;td&gt;185&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-24.85&gt;-24.85&lt;/td&gt;&lt;td&gt;178&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-85.63333&gt;-85.63333&lt;/td&gt;&lt;td&gt;108&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72.95488&gt;-72.95488&lt;/td&gt;&lt;td&gt;74&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72.77889&gt;-72.77889&lt;/td&gt;&lt;td&gt;69&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72.98389&gt;-72.98389&lt;/td&gt;&lt;td&gt;67&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=58.58333&gt;58.58333&lt;/td&gt;&lt;td&gt;64&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72.775&gt;-72.775&lt;/td&gt;&lt;td&gt;57&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72.77833&gt;-72.77833&lt;/td&gt;&lt;td&gt;52&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72.99889&gt;-72.99889&lt;/td&gt;&lt;td&gt;41&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72.77917&gt;-72.77917&lt;/td&gt;&lt;td&gt;40&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=34.08333&gt;34.08333&lt;/td&gt;&lt;td&gt;40&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72.7825&gt;-72.7825&lt;/td&gt;&lt;td&gt;39&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-72.983889&gt;-72.983889&lt;/td&gt;&lt;td&gt;37&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=29.91667&gt;29.91667&lt;/td&gt;&lt;td&gt;35&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (12713)&quot;&gt;Other values (12713)&lt;/td&gt;&lt;td&gt;18525&lt;/td&gt;&lt;td&gt;40.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt;(Missing)&lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-754683977342476572bottom--754683977342476572extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-754683977342476572extreme_values--754683977342476572firstn aria-controls=-754683977342476572extreme_values--754683977342476572firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-754683977342476572extreme_values--754683977342476572lastn aria-controls=-754683977342476572extreme_values--754683977342476572lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-754683977342476572extreme_values--754683977342476572firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-87.36667&gt;-87.36667&lt;/td&gt;&lt;td&gt;4&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-87.03333&gt;-87.03333&lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.93333&gt;-86.93333&lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.71667&gt;-86.71667&lt;/td&gt;&lt;td&gt;217&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.56667&gt;-86.56667&lt;/td&gt;&lt;td&gt;17&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:7.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.54488&gt;-86.54488&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.5379&gt;-86.5379&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.53734&gt;-86.53734&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.53725&gt;-86.53725&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-86.53035&gt;-86.53035&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-754683977342476572extreme_values--754683977342476572lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=81.16667&gt;81.16667&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=76.53333&gt;76.53333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=76.13333&gt;76.13333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=72.88333&gt;72.88333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=72.68333&gt;72.68333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=70.73333&gt;70.73333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=70&gt;70&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar 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class=h4 title=reclong&gt;&lt;a href=#pp_var_109123717033001902&gt;reclong&lt;/a&gt;&lt;br&gt;&lt;small&gt;Real number (&amp;Ropf;)&lt;/small&gt;&lt;/p&gt;&lt;code&gt;MISSING&lt;/code&gt;&lt;br&gt;&lt;code&gt;ZEROS&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;14640&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;38.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;7315&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Infinite (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed 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role=presentation&gt;&lt;a href=#109123717033001902bottom-109123717033001902common_values aria-controls=109123717033001902bottom-109123717033001902common_values role=tab data-toggle=tab&gt;Common values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#109123717033001902bottom-109123717033001902extreme_values aria-controls=109123717033001902bottom-109123717033001902extreme_values role=tab data-toggle=tab&gt;Extreme values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=109123717033001902bottom-109123717033001902statistics&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Quantile statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Minimum&lt;/th&gt;&lt;td&gt;-165.43333&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;5-th percentile&lt;/th&gt;&lt;td&gt;-90.427&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q1&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;median&lt;/th&gt;&lt;td&gt;35.66667&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q3&lt;/th&gt;&lt;td&gt;157.16667&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;95-th percentile&lt;/th&gt;&lt;td&gt;168&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;354.47333&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Range&lt;/th&gt;&lt;td&gt;519.90666&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Interquartile range (IQR)&lt;/th&gt;&lt;td&gt;157.16667&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Descriptive statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Standard deviation&lt;/th&gt;&lt;td&gt;80.65525774&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Coefficient of variation (CV)&lt;/th&gt;&lt;td&gt;1.321078319&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Kurtosis&lt;/th&gt;&lt;td&gt;-0.7313935567&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean&lt;/th&gt;&lt;td&gt;61.05259359&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median Absolute Deviation (MAD)&lt;/th&gt;&lt;td&gt;39.53972&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Skewness&lt;/th&gt;&lt;td&gt;-0.1743813291&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Sum&lt;/th&gt;&lt;td&gt;2345091.172&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Variance&lt;/th&gt;&lt;td&gt;6505.2706&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=109123717033001902bottom-109123717033001902histograms&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#109123717033001902histograms-109123717033001902histogram 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d=&quot;M 63.425 10.8 \nL 421.2 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=p1dfb81efcc&gt;&lt;rect height=233.44936 width=357.775 x=63.425 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=10) &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=109123717033001902bottom-109123717033001902common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;6214&lt;/td&gt;&lt;td&gt;13.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:33.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=35.66667&gt;35.66667&lt;/td&gt;&lt;td&gt;4985&lt;/td&gt;&lt;td&gt;10.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:26.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=168&gt;168&lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;6.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:16.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26&gt;26&lt;/td&gt;&lt;td&gt;1506&lt;/td&gt;&lt;td&gt;3.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.75&gt;159.75&lt;/td&gt;&lt;td&gt;657&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.66667&gt;159.66667&lt;/td&gt;&lt;td&gt;637&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=157.16667&gt;157.16667&lt;/td&gt;&lt;td&gt;542&lt;/td&gt;&lt;td&gt;1.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=155.75&gt;155.75&lt;/td&gt;&lt;td&gt;473&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=160.5&gt;160.5&lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-70&gt;-70&lt;/td&gt;&lt;td&gt;228&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-141.5&gt;-141.5&lt;/td&gt;&lt;td&gt;217&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175&gt;175&lt;/td&gt;&lt;td&gt;185&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-70.53333&gt;-70.53333&lt;/td&gt;&lt;td&gt;178&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-68.7&gt;-68.7&lt;/td&gt;&lt;td&gt;105&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=160.47328&gt;160.47328&lt;/td&gt;&lt;td&gt;74&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=13.43333&gt;13.43333&lt;/td&gt;&lt;td&gt;64&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=159.33333&gt;159.33333&lt;/td&gt;&lt;td&gt;44&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=75.24639&gt;75.24639&lt;/td&gt;&lt;td&gt;42&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=75.31361&gt;75.31361&lt;/td&gt;&lt;td&gt;42&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-103.5&gt;-103.5&lt;/td&gt;&lt;td&gt;35&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=157&gt;157&lt;/td&gt;&lt;td&gt;34&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=75.18722&gt;75.18722&lt;/td&gt;&lt;td&gt;33&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-5.58333&gt;-5.58333&lt;/td&gt;&lt;td&gt;33&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=75.2&gt;75.2&lt;/td&gt;&lt;td&gt;32&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=155.5&gt;155.5&lt;/td&gt;&lt;td&gt;32&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (14615)&quot;&gt;Other values (14615)&lt;/td&gt;&lt;td&gt;18716&lt;/td&gt;&lt;td&gt;40.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt;(Missing)&lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=109123717033001902bottom-109123717033001902extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#109123717033001902extreme_values-109123717033001902firstn aria-controls=109123717033001902extreme_values-109123717033001902firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#109123717033001902extreme_values-109123717033001902lastn aria-controls=109123717033001902extreme_values-109123717033001902lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=109123717033001902extreme_values-109123717033001902firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-165.43333&gt;-165.43333&lt;/td&gt;&lt;td&gt;9&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:52.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-165.11667&gt;-165.11667&lt;/td&gt;&lt;td&gt;17&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-163.16667&gt;-163.16667&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-162.55&gt;-162.55&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-157.86667&gt;-157.86667&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-157.78333&gt;-157.78333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-149.5&gt;-149.5&lt;/td&gt;&lt;td&gt;4&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:23.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-148.55&gt;-148.55&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:11.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-148&gt;-148&lt;/td&gt;&lt;td&gt;3&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:17.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-146.26667&gt;-146.26667&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=109123717033001902extreme_values-109123717033001902lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=354.47333&gt;354.47333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=178.2&gt;178.2&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=178.08333&gt;178.08333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175.73028&gt;175.73028&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175.13333&gt;175.13333&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=175&gt;175&lt;/td&gt;&lt;td&gt;185&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=174.50043&gt;174.50043&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=174.4&gt;174.4&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=172.7&gt;172.7&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=172.6&gt;172.6&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-6905713341474586310&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=GeoLocation&gt;&lt;a href=#pp_var_-6905713341474586310&gt;GeoLocation&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;code&gt;HIGH CARDINALITY&lt;/code&gt;&lt;br&gt;&lt;code&gt;MISSING&lt;/code&gt;&lt;br&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr class=alert&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;17100&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;44.5%&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;7315&lt;/td&gt;&lt;/tr&gt;&lt;tr class=alert&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt;(0.0, 0.0)&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:27.9% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 6214 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;(-71.5, 35.66667)&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:21.4% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 4761 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;(-84.0, 168.0)&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:13.7% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 3040 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;(-72.0, 26.0)&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:6.8% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 1505 &lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;(-79.68333, 159.75)&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:3.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; &amp;nbsp; &lt;/div&gt; 657 &lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;th width=50%&gt;Other values (17095)&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 22234 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--6905713341474586310, #minifreqtable-6905713341474586310&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--6905713341474586310 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-6905713341474586310bottom--6905713341474586310common_values aria-controls=-6905713341474586310bottom--6905713341474586310common_values role=tab data-toggle=tab&gt;Common Values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6905713341474586310bottom--6905713341474586310tbl aria-controls=-6905713341474586310bottom--6905713341474586310tbl role=tab data-toggle=tab&gt;Length&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6905713341474586310bottom--6905713341474586310unicode aria-controls=-6905713341474586310bottom--6905713341474586310unicode role=tab data-toggle=tab&gt;Unicode&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-6905713341474586310bottom--6905713341474586310common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;(0.0, 0.0)&quot;&gt;(0.0, 0.0)&lt;/td&gt;&lt;td&gt;6214&lt;/td&gt;&lt;td&gt;13.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:33.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-71.5, 35.66667)&quot;&gt;(-71.5, 35.66667)&lt;/td&gt;&lt;td&gt;4761&lt;/td&gt;&lt;td&gt;10.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-84.0, 168.0)&quot;&gt;(-84.0, 168.0)&lt;/td&gt;&lt;td&gt;3040&lt;/td&gt;&lt;td&gt;6.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:16.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-72.0, 26.0)&quot;&gt;(-72.0, 26.0)&lt;/td&gt;&lt;td&gt;1505&lt;/td&gt;&lt;td&gt;3.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:8.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-79.68333, 159.75)&quot;&gt;(-79.68333, 159.75)&lt;/td&gt;&lt;td&gt;657&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-76.71667, 159.66667)&quot;&gt;(-76.71667, 159.66667)&lt;/td&gt;&lt;td&gt;637&lt;/td&gt;&lt;td&gt;1.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-76.18333, 157.16667)&quot;&gt;(-76.18333, 157.16667)&lt;/td&gt;&lt;td&gt;539&lt;/td&gt;&lt;td&gt;1.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-79.68333, 155.75)&quot;&gt;(-79.68333, 155.75)&lt;/td&gt;&lt;td&gt;473&lt;/td&gt;&lt;td&gt;1.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:2.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-84.21667, 160.5)&quot;&gt;(-84.21667, 160.5)&lt;/td&gt;&lt;td&gt;263&lt;/td&gt;&lt;td&gt;0.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-86.36667, -70.0)&quot;&gt;(-86.36667, -70.0)&lt;/td&gt;&lt;td&gt;226&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(0.0, 35.66667)&quot;&gt;(0.0, 35.66667)&lt;/td&gt;&lt;td&gt;223&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-86.71667, -141.5)&quot;&gt;(-86.71667, -141.5)&lt;/td&gt;&lt;td&gt;217&lt;/td&gt;&lt;td&gt;0.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-85.66667, 175.0)&quot;&gt;(-85.66667, 175.0)&lt;/td&gt;&lt;td&gt;185&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:1.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-24.85, -70.53333)&quot;&gt;(-24.85, -70.53333)&lt;/td&gt;&lt;td&gt;178&lt;/td&gt;&lt;td&gt;0.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-85.63333, -68.7)&quot;&gt;(-85.63333, -68.7)&lt;/td&gt;&lt;td&gt;105&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-72.95488, 160.47328)&quot;&gt;(-72.95488, 160.47328)&lt;/td&gt;&lt;td&gt;74&lt;/td&gt;&lt;td&gt;0.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(58.58333, 13.43333)&quot;&gt;(58.58333, 13.43333)&lt;/td&gt;&lt;td&gt;64&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-76.71667, 159.33333)&quot;&gt;(-76.71667, 159.33333)&lt;/td&gt;&lt;td&gt;42&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-72.77889, 75.31361)&quot;&gt;(-72.77889, 75.31361)&lt;/td&gt;&lt;td&gt;39&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-72.98389, 75.24639)&quot;&gt;(-72.98389, 75.24639)&lt;/td&gt;&lt;td&gt;38&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-83.25, 157.0)&quot;&gt;(-83.25, 157.0)&lt;/td&gt;&lt;td&gt;34&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(29.91667, -5.58333)&quot;&gt;(29.91667, -5.58333)&lt;/td&gt;&lt;td&gt;33&lt;/td&gt;&lt;td&gt;0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.2%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;(-82.5, 155.5)&quot;&gt;(-82.5, 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aria-controls=-6905713341474586310unicode--6905713341474586310character_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6905713341474586310unicode--6905713341474586310characters aria-controls=-6905713341474586310unicode--6905713341474586310characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6905713341474586310unicode--6905713341474586310categories aria-controls=-6905713341474586310unicode--6905713341474586310categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6905713341474586310unicode--6905713341474586310scripts aria-controls=-6905713341474586310unicode--6905713341474586310scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#-6905713341474586310unicode--6905713341474586310blocks aria-controls=-6905713341474586310unicode--6905713341474586310blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-6905713341474586310unicode--6905713341474586310character_overview&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;p class=h4&gt;Overview of Unicode Properties&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique unicode characters&lt;/th&gt;&lt;td&gt;18&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode categories (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;7&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode scripts (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode blocks (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_block&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-6905713341474586310unicode--6905713341474586310characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt;.&lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;11.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;9.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:87.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;7.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:68.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;7.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:63.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;6.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;6.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;6.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:55.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=(&gt;(&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt;,&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=)&gt;)&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;32680&lt;/td&gt;&lt;td&gt;4.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;29923&lt;/td&gt;&lt;td&gt;4.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-&gt;-&lt;/td&gt;&lt;td&gt;27473&lt;/td&gt;&lt;td&gt;4.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:35.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;23646&lt;/td&gt;&lt;td&gt;3.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;19411&lt;/td&gt;&lt;td&gt;2.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;14630&lt;/td&gt;&lt;td&gt;2.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;1.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-6905713341474586310unicode--6905713341474586310categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;406756&lt;/td&gt;&lt;td&gt;59.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Other Punctuation&quot;&gt;Other Punctuation&lt;/td&gt;&lt;td&gt;115233&lt;/td&gt;&lt;td&gt;16.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Open Punctuation&quot;&gt;Open Punctuation&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Space Separator&quot;&gt;Space Separator&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Close Punctuation&quot;&gt;Close Punctuation&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:9.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Dash Punctuation&quot;&gt;Dash Punctuation&lt;/td&gt;&lt;td&gt;27473&lt;/td&gt;&lt;td&gt;4.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:6.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Lowercase Letter&quot;&gt;Lowercase Letter&lt;/td&gt;&lt;td&gt;21945&lt;/td&gt;&lt;td&gt;3.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:5.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Open Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=(&gt;(&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Decimal Number characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;16.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;12.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:77.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;12.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:72.6%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;11.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:66.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;10.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:65.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;10.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:63.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;32680&lt;/td&gt;&lt;td&gt;8.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:48.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;29923&lt;/td&gt;&lt;td&gt;7.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:44.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;23646&lt;/td&gt;&lt;td&gt;5.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:35.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;19411&lt;/td&gt;&lt;td&gt;4.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:28.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Other Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt;.&lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;66.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt;,&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;33.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Space Separator characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Close Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=)&gt;)&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Dash Punctuation characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-&gt;-&lt;/td&gt;&lt;td&gt;27473&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Lowercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;14630&lt;/td&gt;&lt;td&gt;66.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;33.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-6905713341474586310unicode--6905713341474586310scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;664695&lt;/td&gt;&lt;td&gt;96.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Latin&gt;Latin&lt;/td&gt;&lt;td&gt;21945&lt;/td&gt;&lt;td&gt;3.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:3.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Common characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt;.&lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;11.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;10.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:87.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;7.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:68.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;7.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:63.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;6.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;6.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;6.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:55.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=(&gt;(&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt;,&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=)&gt;)&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;32680&lt;/td&gt;&lt;td&gt;4.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;29923&lt;/td&gt;&lt;td&gt;4.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-&gt;-&lt;/td&gt;&lt;td&gt;27473&lt;/td&gt;&lt;td&gt;4.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:35.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;23646&lt;/td&gt;&lt;td&gt;3.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;19411&lt;/td&gt;&lt;td&gt;2.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Latin characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;14630&lt;/td&gt;&lt;td&gt;66.7%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=a&gt;a&lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;33.3%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=-6905713341474586310unicode--6905713341474586310blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;686640&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent ASCII characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=.&gt;.&lt;/td&gt;&lt;td&gt;76822&lt;/td&gt;&lt;td&gt;11.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=6&gt;6&lt;/td&gt;&lt;td&gt;67560&lt;/td&gt;&lt;td&gt;9.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:87.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=7&gt;7&lt;/td&gt;&lt;td&gt;52499&lt;/td&gt;&lt;td&gt;7.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:68.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=0&gt;0&lt;/td&gt;&lt;td&gt;49033&lt;/td&gt;&lt;td&gt;7.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:63.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3&gt;3&lt;/td&gt;&lt;td&gt;44771&lt;/td&gt;&lt;td&gt;6.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:58.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;44476&lt;/td&gt;&lt;td&gt;6.5%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:57.9%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=5&gt;5&lt;/td&gt;&lt;td&gt;42757&lt;/td&gt;&lt;td&gt;6.2%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:55.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=(&gt;(&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=,&gt;,&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot; &quot;&gt;&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=)&gt;)&lt;/td&gt;&lt;td&gt;38411&lt;/td&gt;&lt;td&gt;5.6%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8&gt;8&lt;/td&gt;&lt;td&gt;32680&lt;/td&gt;&lt;td&gt;4.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:42.5%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=2&gt;2&lt;/td&gt;&lt;td&gt;29923&lt;/td&gt;&lt;td&gt;4.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:39.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-&gt;-&lt;/td&gt;&lt;td&gt;27473&lt;/td&gt;&lt;td&gt;4.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:35.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4&gt;4&lt;/td&gt;&lt;td&gt;23646&lt;/td&gt;&lt;td&gt;3.4%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:30.8%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=9&gt;9&lt;/td&gt;&lt;td&gt;19411&lt;/td&gt;&lt;td&gt;2.8%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:25.3%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=n&gt;n&lt;/td&gt;&lt;td&gt;14630&lt;/td&gt;&lt;td&gt;2.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td 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d=&quot;M 63.425 250.436544 \nL 421.2 250.436544 \n&quot;/&gt;&lt;/g&gt;&lt;g id=patch_16&gt;&lt;path style=fill:none; d=&quot;M 63.425 10.8 \nL 421.2 10.8 \n&quot;/&gt;&lt;/g&gt;&lt;/g&gt;&lt;/g&gt;&lt;defs&gt;&lt;clippath id=pbcc3ad1593&gt;&lt;rect height=239.636544 width=357.775 x=63.425 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Length&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Max length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Median length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Mean length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;4&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=1578746827309043380bottom-1578746827309043380unicode&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#1578746827309043380unicode-1578746827309043380character_overview aria-controls=1578746827309043380unicode-1578746827309043380character_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#1578746827309043380unicode-1578746827309043380characters aria-controls=1578746827309043380unicode-1578746827309043380characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#1578746827309043380unicode-1578746827309043380categories aria-controls=1578746827309043380unicode-1578746827309043380categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#1578746827309043380unicode-1578746827309043380scripts aria-controls=1578746827309043380unicode-1578746827309043380scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#1578746827309043380unicode-1578746827309043380blocks aria-controls=1578746827309043380unicode-1578746827309043380blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=1578746827309043380unicode-1578746827309043380character_overview&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;p class=h4&gt;Overview of Unicode Properties&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique unicode characters&lt;/th&gt;&lt;td&gt;3&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode categories (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode scripts (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode blocks (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_block&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=1578746827309043380unicode-1578746827309043380characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;91452&lt;/td&gt;&lt;td&gt;50.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=N&gt;N&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;25.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=S&gt;S&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;25.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=1578746827309043380unicode-1578746827309043380categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt;Uppercase Letter&lt;/td&gt;&lt;td&gt;182904&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Uppercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;91452&lt;/td&gt;&lt;td&gt;50.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=N&gt;N&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;25.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=S&gt;S&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;25.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=1578746827309043380unicode-1578746827309043380scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Latin&gt;Latin&lt;/td&gt;&lt;td&gt;182904&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Latin characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;91452&lt;/td&gt;&lt;td&gt;50.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=N&gt;N&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;25.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=S&gt;S&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;25.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=1578746827309043380unicode-1578746827309043380blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;182904&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent ASCII characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;91452&lt;/td&gt;&lt;td&gt;50.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=N&gt;N&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;25.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=S&gt;S&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;25.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:50.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_-3055960487348366955&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=boolean&gt;&lt;a href=#pp_var_-3055960487348366955&gt;boolean&lt;/a&gt;&lt;br&gt;&lt;small&gt;Boolean&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;44.8 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt;True&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 22928 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;False&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:99.4% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 22798 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom--3055960487348366955, #minifreqtable-3055960487348366955&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom--3055960487348366955 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#-3055960487348366955bottom--3055960487348366955frequency_table aria-controls=-3055960487348366955bottom--3055960487348366955frequency_table role=tab data-toggle=tab&gt;Frequency Table&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=-3055960487348366955bottom--3055960487348366955frequency_table&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=True&gt;True&lt;/td&gt;&lt;td&gt;22928&lt;/td&gt;&lt;td&gt;50.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=False&gt;False&lt;/td&gt;&lt;td&gt;22798&lt;/td&gt;&lt;td&gt;49.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.4%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;a class=&quot;anchor-pos anchor-pos-variable&quot; id=pp_var_2973294434939240321&gt;&lt;/a&gt;&lt;div class=variable&gt;&lt;div class=col-sm-3&gt;&lt;p class=h4 title=mixed&gt;&lt;a href=#pp_var_2973294434939240321&gt;mixed&lt;/a&gt;&lt;br&gt;&lt;small&gt;Categorical&lt;/small&gt;&lt;/p&gt;&lt;p class=variable-description&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=col-sm-3&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Distinct count&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique (%)&lt;/th&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing&lt;/th&gt;&lt;td&gt;0&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Missing (%)&lt;/th&gt;&lt;td&gt;0.0%&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Memory size&lt;/th&gt;&lt;td&gt;357.4 KiB&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;div class=&quot;col-sm- collapse in&quot; id=minifreqtable&gt;&lt;table class=&quot;mini freq&quot;&gt;&lt;tr class&gt;&lt;th width=50%&gt;1&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:100.0% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 22903 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;th width=50%&gt;A&lt;/th&gt;&lt;td width=50%&gt;&lt;div class=bar style=width:99.7% data-toggle=tooltip data-placement=right data-html=true data-delay=500&gt; 22823 &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-12 text-right&quot;&gt;&lt;button class=&quot;btn btn-default btn-sm&quot; data-toggle=collapse data-target=&quot;#bottom-2973294434939240321, #minifreqtable2973294434939240321&quot; aria-expanded=true aria-controls=collapseExample&gt;Toggle details&lt;/button&gt;&lt;/div&gt;&lt;div id=bottom-2973294434939240321 class=collapse&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#2973294434939240321bottom-2973294434939240321common_values aria-controls=2973294434939240321bottom-2973294434939240321common_values role=tab data-toggle=tab&gt;Common Values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#2973294434939240321bottom-2973294434939240321tbl aria-controls=2973294434939240321bottom-2973294434939240321tbl role=tab data-toggle=tab&gt;Length&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#2973294434939240321bottom-2973294434939240321unicode aria-controls=2973294434939240321bottom-2973294434939240321unicode role=tab 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length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Min length&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=2973294434939240321bottom-2973294434939240321unicode&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#2973294434939240321unicode-2973294434939240321character_overview aria-controls=2973294434939240321unicode-2973294434939240321character_overview role=tab data-toggle=tab&gt;Overview&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#2973294434939240321unicode-2973294434939240321characters aria-controls=2973294434939240321unicode-2973294434939240321characters role=tab data-toggle=tab&gt;Characters&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#2973294434939240321unicode-2973294434939240321categories aria-controls=2973294434939240321unicode-2973294434939240321categories role=tab data-toggle=tab&gt;Categories&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#2973294434939240321unicode-2973294434939240321scripts aria-controls=2973294434939240321unicode-2973294434939240321scripts role=tab data-toggle=tab&gt;Scripts&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#2973294434939240321unicode-2973294434939240321blocks aria-controls=2973294434939240321unicode-2973294434939240321blocks role=tab data-toggle=tab&gt;Blocks&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=2973294434939240321unicode-2973294434939240321character_overview&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;p class=h4&gt;Overview of Unicode Properties&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Unique unicode characters&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode categories (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_character_property#General_Category&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode scripts (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Script_(Unicode)#List_of_scripts_in_Unicode&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;2&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Unique unicode blocks (&lt;a target=_blank href=https://en.wikipedia.org/wiki/Unicode_block&gt;?&lt;/a&gt;)&lt;/th&gt;&lt;td&gt;1&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt; The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables. &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=2973294434939240321unicode-2973294434939240321characters&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;22903&lt;/td&gt;&lt;td&gt;50.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;22823&lt;/td&gt;&lt;td&gt;49.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=2973294434939240321unicode-2973294434939240321categories&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring categories&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=&quot;Decimal Number&quot;&gt;Decimal Number&lt;/td&gt;&lt;td&gt;22903&lt;/td&gt;&lt;td&gt;50.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=&quot;Uppercase Letter&quot;&gt;Uppercase Letter&lt;/td&gt;&lt;td&gt;22823&lt;/td&gt;&lt;td&gt;49.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Uppercase Letter characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;22823&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Decimal Number characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;22903&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=2973294434939240321unicode-2973294434939240321scripts&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring scripts&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=Common&gt;Common&lt;/td&gt;&lt;td&gt;22903&lt;/td&gt;&lt;td&gt;50.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=Latin&gt;Latin&lt;/td&gt;&lt;td&gt;22823&lt;/td&gt;&lt;td&gt;49.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Latin characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;22823&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent Common characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;22903&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=2973294434939240321unicode-2973294434939240321blocks&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most occurring blocks&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=ASCII&gt;ASCII&lt;/td&gt;&lt;td&gt;45726&lt;/td&gt;&lt;td&gt;100.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=&quot;row named-list-item&quot;&gt;&lt;h4&gt;Most frequent ASCII characters&lt;/h4&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=1&gt;1&lt;/td&gt;&lt;td&gt;22903&lt;/td&gt;&lt;td&gt;50.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=A&gt;A&lt;/td&gt;&lt;td&gt;22823&lt;/td&gt;&lt;td&gt;49.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:99.7%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div 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percentile&lt;/th&gt;&lt;td&gt;-87.84481248&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q1&lt;/th&gt;&lt;td&gt;-78.26358046&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;median&lt;/th&gt;&lt;td&gt;-68.93503323&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Q3&lt;/th&gt;&lt;td&gt;4.915231311&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;95-th percentile&lt;/th&gt;&lt;td&gt;35.36145094&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Maximum&lt;/th&gt;&lt;td&gt;82.8628417&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Range&lt;/th&gt;&lt;td&gt;185.4695229&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Interquartile range (IQR)&lt;/th&gt;&lt;td&gt;83.17881177&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div class=col-sm-6&gt;&lt;p class=h4&gt;Descriptive statistics&lt;/p&gt;&lt;table class=&quot;table table-condensed stats&quot;&gt;&lt;tbody&gt;&lt;tr&gt;&lt;th&gt;Standard deviation&lt;/th&gt;&lt;td&gt;46.66501985&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;th&gt;Coefficient of variation 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width=357.775 x=63.425 y=10.8 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;div class=&quot;caption text-center text-muted&quot;&gt;&lt;strong&gt;Histogram with fixed size bins&lt;/strong&gt; (bins=10) &lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=3203532305154459750bottom-3203532305154459750common_values&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=39.11178668&gt;39.11178668&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=36.79681399&gt;36.79681399&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-29.25226427&gt;-29.25226427&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=47.84410212&gt;47.84410212&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=49.55309361&gt;49.55309361&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=11.75244283&gt;11.75244283&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-30.3083685&gt;-30.3083685&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=57.09343998&gt;57.09343998&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-32.18640603&gt;-32.18640603&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26.49993975&gt;26.49993975&lt;/td&gt;&lt;td&gt;2&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=3.049189396&gt;3.049189396&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=20.52120073&gt;20.52120073&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-69.50519385&gt;-69.50519385&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-79.28652244&gt;-79.28652244&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=8.119009252&gt;8.119009252&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=16.30460228&gt;16.30460228&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-78.35974351&gt;-78.35974351&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-76.6042017&gt;-76.6042017&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-79.38453901&gt;-79.38453901&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4.82088796&gt;4.82088796&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-5.55321537&gt;-5.55321537&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-88.07666963&gt;-88.07666963&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=4.25672365&gt;4.25672365&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=26.52508959&gt;26.52508959&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-85.59999645&gt;-85.59999645&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:0.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=other&gt;&lt;td title=&quot;Other values (38376)&quot;&gt;Other values (38376)&lt;/td&gt;&lt;td&gt;38376&lt;/td&gt;&lt;td&gt;83.9%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class=missing&gt;&lt;td title=(Missing)&gt;(Missing)&lt;/td&gt;&lt;td&gt;7315&lt;/td&gt;&lt;td&gt;16.0%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:19.1%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=3203532305154459750bottom-3203532305154459750extreme_values&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#3203532305154459750extreme_values-3203532305154459750firstn aria-controls=3203532305154459750extreme_values-3203532305154459750firstn role=tab data-toggle=tab&gt;Minimum 5 values&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#3203532305154459750extreme_values-3203532305154459750lastn aria-controls=3203532305154459750extreme_values-3203532305154459750lastn role=tab data-toggle=tab&gt;Maximum 5 values&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class=tab-content&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12 active&quot; id=3203532305154459750extreme_values-3203532305154459750firstn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=-102.6066812&gt;-102.6066812&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-101.7796912&gt;-101.7796912&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-101.524804&gt;-101.524804&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-101.296513&gt;-101.296513&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-101.1791612&gt;-101.1791612&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-101.1697263&gt;-101.1697263&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-100.7321664&gt;-100.7321664&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-100.1146381&gt;-100.1146381&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-99.80153286&gt;-99.80153286&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=-99.57116543&gt;-99.57116543&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;div role=tabpanel class=&quot;tab-pane col-sm-12&quot; id=3203532305154459750extreme_values-3203532305154459750lastn&gt;&lt;table class=&quot;freq table table-hover table-striped&quot;&gt;&lt;thead&gt;&lt;tr&gt;&lt;td&gt;Value&lt;/td&gt;&lt;td&gt;Count&lt;/td&gt;&lt;td&gt;Frequency (%)&lt;/td&gt;&lt;td&gt;&amp;nbsp;&lt;/td&gt;&lt;/tr&gt;&lt;/thead&gt;&lt;tbody&gt;&lt;tr class&gt;&lt;td title=82.8628417&gt;82.8628417&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=79.24509827&gt;79.24509827&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=74.54254721&gt;74.54254721&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=73.51105136&gt;73.51105136&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=73.50437475&gt;73.50437475&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=73.12240917&gt;73.12240917&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=72.03677193&gt;72.03677193&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=71.67466841&gt;71.67466841&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=71.49051144&gt;71.49051144&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr class&gt;&lt;td title=71.17209887&gt;71.17209887&lt;/td&gt;&lt;td&gt;1&lt;/td&gt;&lt;td&gt;&lt; 0.1%&lt;/td&gt;&lt;td&gt;&lt;div class=bar style=width:100.0%&gt;&amp;nbsp;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/tbody&gt;&lt;/table&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=interactions&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Interactions&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul 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It&#x27;s value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. 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id=p1d799a689b&gt;&lt;rect height=269.28 width=13.464 x=451.44 y=47.52 /&gt;&lt;/clippath&gt;&lt;/defs&gt;&lt;/svg&gt;&lt;/div&gt;&lt;div class=&quot;col-sm-6 correlation-description&quot;&gt;&lt;div style=padding:20px class=text-muted&gt;&lt;h3&gt;Cramér&#x27;s V (φc)&lt;/h3&gt;Cramér&#x27;s V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér&#x27;s V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found &lt;a href=http://stats.lse.ac.uk/bergsma/pdf/cramerV3.pdf&gt;here&lt;/a&gt;.&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;div class=&quot;row header&quot;&gt;&lt;a class=anchor-pos id=missing&gt;&lt;/a&gt;&lt;h1 class=page-header&gt;Missing values&lt;/h1&gt;&lt;/div&gt;&lt;div class=section-items&gt;&lt;div class=&quot;row spacing&quot;&gt;&lt;ul class=&quot;nav nav-tabs&quot; role=tablist&gt;&lt;li role=presentation class=active&gt;&lt;a href=#missing-bar aria-controls=missing-bar role=tab data-toggle=tab&gt;Count&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#missing-matrix aria-controls=missing-matrix role=tab data-toggle=tab&gt;Matrix&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a href=#missing-heatmap aria-controls=missing-heatmap role=tab data-toggle=tab&gt;Heatmap&lt;/a&gt;&lt;/li&gt;&lt;li role=presentation&gt;&lt;a 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+     },
+     "metadata": {}
+    },
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": []
+     },
+     "metadata": {},
+     "execution_count": 7
+    }
+   ],
+   "source": [
+    "profile_report = df.profile_report(explorative=True, html={'style': {'full_width': True}})\n",
+    "profile_report"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Notebook Widgets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stderr",
+     "text": []
+    },
+    {
+     "output_type": "display_data",
+     "data": {
+      "text/plain": "VBox(children=(Tab(children=(Tab(children=(GridBox(children=(VBox(children=(GridspecLayout(children=(HTML(valu…",
+      "application/vnd.jupyter.widget-view+json": {
+       "version_major": 2,
+       "version_minor": 0,
+       "model_id": "2d751ba138a34f1f9c5c45fd4674e995"
+      }
+     },
+     "metadata": {}
+    }
+   ],
+   "source": [
+    "profile_report.to_widgets()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.1-final"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
\ No newline at end of file
diff --git a/relax challenge.ipynb b/relax challenge.ipynb
new file mode 100644
index 00000000..e1f04d2f
--- /dev/null
+++ b/relax challenge.ipynb	
@@ -0,0 +1,1407 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7d53c8c3",
+   "metadata": {},
+   "source": [
+    "## Jessica Williams- Relax Takehome Challenge"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "062f6b1d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import os\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import sklearn\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    "import spacy\n",
+    "from yellowbrick.text import FreqDistVisualizer\n",
+    "from pathlib import Path\n",
+    "nlp=spacy.load('en_core_web_sm')\n",
+    "from textblob import TextBlob, Word, Blobber\n",
+    "from sklearn.ensemble import RandomForestRegressor\n",
+    "\n",
+    "#from sb_utils import save_file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "38f7fbad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_info = pd.read_csv('takehome_users.csv',encoding=\"ISO-8859-1\")\n",
+    "#user_info = pd.read_csv('C:/Users/jwatki8/Documents/Data Science Program information/relax_challenge/takehome_users.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "06cd8e77",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_eng = pd.read_csv('C:/Users/jwatki8/Documents/Data Science Program information/relax_challenge/takehome_user_engagement.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c8dd5423",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 207917 entries, 0 to 207916\n",
+      "Data columns (total 3 columns):\n",
+      " #   Column      Non-Null Count   Dtype \n",
+      "---  ------      --------------   ----- \n",
+      " 0   time_stamp  207917 non-null  object\n",
+      " 1   user_id     207917 non-null  int64 \n",
+      " 2   visited     207917 non-null  int64 \n",
+      "dtypes: int64(2), object(1)\n",
+      "memory usage: 4.8+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "user_eng.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "7ecba198",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>time_stamp</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>visited</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2014-04-22 03:53:30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2013-11-15 03:45:04</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2013-11-29 03:45:04</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2013-12-09 03:45:04</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2013-12-25 03:45:04</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            time_stamp  user_id  visited\n",
+       "0  2014-04-22 03:53:30        1        1\n",
+       "1  2013-11-15 03:45:04        2        1\n",
+       "2  2013-11-29 03:45:04        2        1\n",
+       "3  2013-12-09 03:45:04        2        1\n",
+       "4  2013-12-25 03:45:04        2        1"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "user_eng.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "8010ac9b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>object_id</th>\n",
+       "      <th>creation_time</th>\n",
+       "      <th>name</th>\n",
+       "      <th>email</th>\n",
+       "      <th>creation_source</th>\n",
+       "      <th>last_session_creation_time</th>\n",
+       "      <th>opted_in_to_mailing_list</th>\n",
+       "      <th>enabled_for_marketing_drip</th>\n",
+       "      <th>org_id</th>\n",
+       "      <th>invited_by_user_id</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4/22/2014 3:53</td>\n",
+       "      <td>Clausen August</td>\n",
+       "      <td>AugustCClausen@yahoo.com</td>\n",
+       "      <td>GUEST_INVITE</td>\n",
+       "      <td>1.398139e+09</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>10803.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>11/15/2013 3:45</td>\n",
+       "      <td>Poole Matthew</td>\n",
+       "      <td>MatthewPoole@gustr.com</td>\n",
+       "      <td>ORG_INVITE</td>\n",
+       "      <td>1.396238e+09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>316.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>3/19/2013 23:14</td>\n",
+       "      <td>Bottrill Mitchell</td>\n",
+       "      <td>MitchellBottrill@gustr.com</td>\n",
+       "      <td>ORG_INVITE</td>\n",
+       "      <td>1.363735e+09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>94</td>\n",
+       "      <td>1525.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>5/21/2013 8:09</td>\n",
+       "      <td>Clausen Nicklas</td>\n",
+       "      <td>NicklasSClausen@yahoo.com</td>\n",
+       "      <td>GUEST_INVITE</td>\n",
+       "      <td>1.369210e+09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5151.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>1/17/2013 10:14</td>\n",
+       "      <td>Raw Grace</td>\n",
+       "      <td>GraceRaw@yahoo.com</td>\n",
+       "      <td>GUEST_INVITE</td>\n",
+       "      <td>1.358850e+09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>193</td>\n",
+       "      <td>5240.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   object_id    creation_time               name                       email  \\\n",
+       "0          1   4/22/2014 3:53     Clausen August    AugustCClausen@yahoo.com   \n",
+       "1          2  11/15/2013 3:45      Poole Matthew      MatthewPoole@gustr.com   \n",
+       "2          3  3/19/2013 23:14  Bottrill Mitchell  MitchellBottrill@gustr.com   \n",
+       "3          4   5/21/2013 8:09    Clausen Nicklas   NicklasSClausen@yahoo.com   \n",
+       "4          5  1/17/2013 10:14          Raw Grace          GraceRaw@yahoo.com   \n",
+       "\n",
+       "  creation_source  last_session_creation_time  opted_in_to_mailing_list  \\\n",
+       "0    GUEST_INVITE                1.398139e+09                         1   \n",
+       "1      ORG_INVITE                1.396238e+09                         0   \n",
+       "2      ORG_INVITE                1.363735e+09                         0   \n",
+       "3    GUEST_INVITE                1.369210e+09                         0   \n",
+       "4    GUEST_INVITE                1.358850e+09                         0   \n",
+       "\n",
+       "   enabled_for_marketing_drip  org_id  invited_by_user_id  \n",
+       "0                           0      11             10803.0  \n",
+       "1                           0       1               316.0  \n",
+       "2                           0      94              1525.0  \n",
+       "3                           0       1              5151.0  \n",
+       "4                           0     193              5240.0  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "user_info.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "26f27210",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_info=user_info.rename(columns={'object_id': 'user_id'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "6afa294b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8823"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "user_eng['user_id'].nunique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "da9f1cb7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "time_stamp    0\n",
+       "user_id       0\n",
+       "visited       0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "user_eng.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "62ab3983",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_eng['visit_count']=user_eng['user_id'].groupby(user_eng['user_id']).transform('count')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "c941fa60",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_eng['time_stamp']= pd.to_datetime(user_eng['time_stamp'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "64640e69",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#adopted user creation section based on having 3 in 7"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06f98c06",
+   "metadata": {},
+   "source": [
+    "My first step is to to find the 'adopted users' in the dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "9ee47510",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_eng['time_stamp']= pd.to_datetime(user_eng['time_stamp'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "437673d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_eng['date'] = pd.to_datetime(user_eng.time_stamp.dt.date)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "2cf23d04",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def rolling_count(user_eng_group, frequency):\n",
+    "    return user_eng_group.rolling(frequency, on='date')['user_id'].count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "e26c9644",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_eng['visits_7_days'] = user_eng.groupby('user_id', as_index=False, group_keys=False).apply(rolling_count, '7D')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "b51b2ed1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>time_stamp</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>visited</th>\n",
+       "      <th>visit_count</th>\n",
+       "      <th>date</th>\n",
+       "      <th>visits_7_days</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2014-04-22 03:53:30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2014-04-22</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2013-11-15 03:45:04</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2013-11-15</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2013-11-29 03:45:04</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2013-11-29</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2013-12-09 03:45:04</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2013-12-09</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2013-12-25 03:45:04</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2013-12-25</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           time_stamp  user_id  visited  visit_count       date  visits_7_days\n",
+       "0 2014-04-22 03:53:30        1        1            1 2014-04-22            1.0\n",
+       "1 2013-11-15 03:45:04        2        1           14 2013-11-15            1.0\n",
+       "2 2013-11-29 03:45:04        2        1           14 2013-11-29            1.0\n",
+       "3 2013-12-09 03:45:04        2        1           14 2013-12-09            1.0\n",
+       "4 2013-12-25 03:45:04        2        1           14 2013-12-25            1.0"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "user_eng.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "1e6d98de",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>time_stamp</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>visited</th>\n",
+       "      <th>visit_count</th>\n",
+       "      <th>date</th>\n",
+       "      <th>visits_7_days</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>2014-02-09 03:45:04</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2014-02-09</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2014-02-13 03:45:04</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2014-02-13</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>2013-02-19 22:08:03</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>284</td>\n",
+       "      <td>2013-02-19</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>2013-03-02 22:08:03</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>284</td>\n",
+       "      <td>2013-03-02</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>2013-03-05 22:08:03</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>284</td>\n",
+       "      <td>2013-03-05</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>207898</th>\n",
+       "      <td>2014-05-23 11:04:47</td>\n",
+       "      <td>11988</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>2014-05-23</td>\n",
+       "      <td>6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>207899</th>\n",
+       "      <td>2014-05-24 11:04:47</td>\n",
+       "      <td>11988</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>2014-05-24</td>\n",
+       "      <td>6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>207900</th>\n",
+       "      <td>2014-05-26 11:04:47</td>\n",
+       "      <td>11988</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>2014-05-26</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>207901</th>\n",
+       "      <td>2014-05-27 11:04:47</td>\n",
+       "      <td>11988</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>2014-05-27</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>207902</th>\n",
+       "      <td>2014-06-01 11:04:47</td>\n",
+       "      <td>11988</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>2014-06-01</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>160522 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                time_stamp  user_id  visited  visit_count       date  \\\n",
+       "9      2014-02-09 03:45:04        2        1           14 2014-02-09   \n",
+       "10     2014-02-13 03:45:04        2        1           14 2014-02-13   \n",
+       "27     2013-02-19 22:08:03       10        1          284 2013-02-19   \n",
+       "30     2013-03-02 22:08:03       10        1          284 2013-03-02   \n",
+       "31     2013-03-05 22:08:03       10        1          284 2013-03-05   \n",
+       "...                    ...      ...      ...          ...        ...   \n",
+       "207898 2014-05-23 11:04:47    11988        1           30 2014-05-23   \n",
+       "207899 2014-05-24 11:04:47    11988        1           30 2014-05-24   \n",
+       "207900 2014-05-26 11:04:47    11988        1           30 2014-05-26   \n",
+       "207901 2014-05-27 11:04:47    11988        1           30 2014-05-27   \n",
+       "207902 2014-06-01 11:04:47    11988        1           30 2014-06-01   \n",
+       "\n",
+       "        visits_7_days  \n",
+       "9                 3.0  \n",
+       "10                3.0  \n",
+       "27                3.0  \n",
+       "30                3.0  \n",
+       "31                3.0  \n",
+       "...               ...  \n",
+       "207898            6.0  \n",
+       "207899            6.0  \n",
+       "207900            5.0  \n",
+       "207901            5.0  \n",
+       "207902            3.0  \n",
+       "\n",
+       "[160522 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "user_eng[user_eng.visits_7_days >= 3.0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "99747328",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "adopted = user_eng.groupby('user_id')['visits_7_days'].max().reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "2de176c0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "adopted['adopted_user'] = adopted['visits_7_days'].apply(lambda x: 1 if x>=3 else 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "14467ac1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "adopted.set_index('user_id', inplace = True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "7515b14a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>visits_7_days</th>\n",
+       "      <th>adopted_user</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>user_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         visits_7_days  adopted_user\n",
+       "user_id                             \n",
+       "1                  1.0             0\n",
+       "2                  3.0             1\n",
+       "3                  1.0             0\n",
+       "4                  1.0             0\n",
+       "5                  1.0             0"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "adopted.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cd880349",
+   "metadata": {},
+   "source": [
+    "Next I would like to merge the newly created adopted user information with the user information dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "4ec381ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#merging the user information with new dataframe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "5facea58",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "users = user_info.join(adopted, on = 'user_id', how='left')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "638bf5f3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 12000 entries, 0 to 11999\n",
+      "Data columns (total 12 columns):\n",
+      " #   Column                      Non-Null Count  Dtype  \n",
+      "---  ------                      --------------  -----  \n",
+      " 0   user_id                     12000 non-null  int64  \n",
+      " 1   creation_time               12000 non-null  object \n",
+      " 2   name                        12000 non-null  object \n",
+      " 3   email                       12000 non-null  object \n",
+      " 4   creation_source             12000 non-null  object \n",
+      " 5   last_session_creation_time  8823 non-null   float64\n",
+      " 6   opted_in_to_mailing_list    12000 non-null  int64  \n",
+      " 7   enabled_for_marketing_drip  12000 non-null  int64  \n",
+      " 8   org_id                      12000 non-null  int64  \n",
+      " 9   invited_by_user_id          6417 non-null   float64\n",
+      " 10  visits_7_days               8823 non-null   float64\n",
+      " 11  adopted_user                8823 non-null   float64\n",
+      "dtypes: float64(4), int64(4), object(4)\n",
+      "memory usage: 1.1+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "users.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "b4dd4a8f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>creation_time</th>\n",
+       "      <th>name</th>\n",
+       "      <th>email</th>\n",
+       "      <th>creation_source</th>\n",
+       "      <th>last_session_creation_time</th>\n",
+       "      <th>opted_in_to_mailing_list</th>\n",
+       "      <th>enabled_for_marketing_drip</th>\n",
+       "      <th>org_id</th>\n",
+       "      <th>invited_by_user_id</th>\n",
+       "      <th>visits_7_days</th>\n",
+       "      <th>adopted_user</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4/22/2014 3:53</td>\n",
+       "      <td>Clausen August</td>\n",
+       "      <td>AugustCClausen@yahoo.com</td>\n",
+       "      <td>GUEST_INVITE</td>\n",
+       "      <td>1.398139e+09</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>10803.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>11/15/2013 3:45</td>\n",
+       "      <td>Poole Matthew</td>\n",
+       "      <td>MatthewPoole@gustr.com</td>\n",
+       "      <td>ORG_INVITE</td>\n",
+       "      <td>1.396238e+09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>316.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>3/19/2013 23:14</td>\n",
+       "      <td>Bottrill Mitchell</td>\n",
+       "      <td>MitchellBottrill@gustr.com</td>\n",
+       "      <td>ORG_INVITE</td>\n",
+       "      <td>1.363735e+09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>94</td>\n",
+       "      <td>1525.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>5/21/2013 8:09</td>\n",
+       "      <td>Clausen Nicklas</td>\n",
+       "      <td>NicklasSClausen@yahoo.com</td>\n",
+       "      <td>GUEST_INVITE</td>\n",
+       "      <td>1.369210e+09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5151.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>1/17/2013 10:14</td>\n",
+       "      <td>Raw Grace</td>\n",
+       "      <td>GraceRaw@yahoo.com</td>\n",
+       "      <td>GUEST_INVITE</td>\n",
+       "      <td>1.358850e+09</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>193</td>\n",
+       "      <td>5240.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   user_id    creation_time               name                       email  \\\n",
+       "0        1   4/22/2014 3:53     Clausen August    AugustCClausen@yahoo.com   \n",
+       "1        2  11/15/2013 3:45      Poole Matthew      MatthewPoole@gustr.com   \n",
+       "2        3  3/19/2013 23:14  Bottrill Mitchell  MitchellBottrill@gustr.com   \n",
+       "3        4   5/21/2013 8:09    Clausen Nicklas   NicklasSClausen@yahoo.com   \n",
+       "4        5  1/17/2013 10:14          Raw Grace          GraceRaw@yahoo.com   \n",
+       "\n",
+       "  creation_source  last_session_creation_time  opted_in_to_mailing_list  \\\n",
+       "0    GUEST_INVITE                1.398139e+09                         1   \n",
+       "1      ORG_INVITE                1.396238e+09                         0   \n",
+       "2      ORG_INVITE                1.363735e+09                         0   \n",
+       "3    GUEST_INVITE                1.369210e+09                         0   \n",
+       "4    GUEST_INVITE                1.358850e+09                         0   \n",
+       "\n",
+       "   enabled_for_marketing_drip  org_id  invited_by_user_id  visits_7_days  \\\n",
+       "0                           0      11             10803.0            1.0   \n",
+       "1                           0       1               316.0            3.0   \n",
+       "2                           0      94              1525.0            1.0   \n",
+       "3                           0       1              5151.0            1.0   \n",
+       "4                           0     193              5240.0            1.0   \n",
+       "\n",
+       "   adopted_user  \n",
+       "0           0.0  \n",
+       "1           1.0  \n",
+       "2           0.0  \n",
+       "3           0.0  \n",
+       "4           0.0  "
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "users.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4a4897ca",
+   "metadata": {},
+   "source": [
+    "Now let's examine what we have."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "bf5e2437",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.0    7221\n",
+       "1.0    1602\n",
+       "Name: adopted_user, dtype: int64"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "users['adopted_user'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "134b0518",
+   "metadata": {},
+   "source": [
+    "The perentage of adopted users in this data set is around 18 percent so that is something to keep in mind while examining relationships with other features."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "816dec11",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ORG_INVITE            4254\n",
+       "GUEST_INVITE          2163\n",
+       "PERSONAL_PROJECTS     2111\n",
+       "SIGNUP                2087\n",
+       "SIGNUP_GOOGLE_AUTH    1385\n",
+       "Name: creation_source, dtype: int64"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "users['creation_source'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "ea9c2798",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(data=users, x='creation_source', hue='adopted_user',hue_order=(0,1),stat='percent')\n",
+    "plt.ticklabel_format(style='plain', axis='y')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c12c593a",
+   "metadata": {},
+   "source": [
+    "The creation source variable doesn’t seem to have a large effect on predicting adopted users."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ec5d19e6",
+   "metadata": {},
+   "source": [
+    "Let's take a look at the distribution of adopted users over some of the other variables."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "83de6c44",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    9006\n",
+       "1    2994\n",
+       "Name: opted_in_to_mailing_list, dtype: int64"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "users['opted_in_to_mailing_list'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "27edc328",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(data=users, x='opted_in_to_mailing_list', hue='adopted_user',hue_order=(0,1),palette='pastel', stat='percent')\n",
+    "plt.ticklabel_format(style='plain', axis='y')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "ef4ad4e6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    10208\n",
+       "1     1792\n",
+       "Name: enabled_for_marketing_drip, dtype: int64"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "users['enabled_for_marketing_drip'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "2f0ad5ea",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 800x550 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(data=users, x='enabled_for_marketing_drip', hue='adopted_user',hue_order=(0,1),palette='pastel', stat='percent')\n",
+    "plt.ticklabel_format(style='plain', axis='y')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ce6ab087",
+   "metadata": {},
+   "source": [
+    "It looks like the distributions of the adopted users are the same through these specific variables as they are over the entire dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "7f2eed9a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#creating dummies for creation source variable\n",
+    "users = pd.get_dummies(users, columns=['creation_source'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "dff4a0a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "users_short=users.drop(columns=['user_id','name', 'email'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "91c7370d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "users_c=users_short.apply(lambda x: x.factorize()[0]).corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "49eb61de",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "creation_time                         0.035806\n",
+       "last_session_creation_time            0.681293\n",
+       "opted_in_to_mailing_list             -0.093444\n",
+       "enabled_for_marketing_drip           -0.042429\n",
+       "org_id                               -0.092943\n",
+       "invited_by_user_id                    0.047360\n",
+       "visits_7_days                         0.940513\n",
+       "adopted_user                          1.000000\n",
+       "creation_source_GUEST_INVITE         -0.282412\n",
+       "creation_source_ORG_INVITE           -0.066936\n",
+       "creation_source_PERSONAL_PROJECTS    -0.566807\n",
+       "creation_source_SIGNUP                0.214929\n",
+       "creation_source_SIGNUP_GOOGLE_AUTH    0.268309\n",
+       "Name: adopted_user, dtype: float64"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "users_c.corr()['adopted_user']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "d59edc15",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x900 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "corrmat = users_c.corr()\n",
+    "f, ax = plt.subplots(figsize=(12, 9))\n",
+    "hm = sns.heatmap(round(corrmat,2), annot=True, ax=ax, cmap=\"coolwarm\",fmt='.2f',\n",
+    "                 linewidths=.05)\n",
+    "f.subplots_adjust(top=0.93)\n",
+    "t= f.suptitle('attribute correlations', fontsize=14)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "779c6b4b",
+   "metadata": {},
+   "source": [
+    "After examining the correlation I can see a few moderate correlations. The creation source of personal projects seems to have a negative correlation to adopted users. There is also a moderate negative correlation with guest source creation invite."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3b2d9ef7",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "\n",
+    "Overall I don't see any factors that seem to predict future user adoption. The correlations between the adopted user variable and the other facors are weak. Also the representation of adopted users in the distribution of the individual factors are not much different than the adopted user distribution in the full dataset."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "45bd3d92",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}