From ca1d43b6d38706349ddefed4e6a09f4a946e7258 Mon Sep 17 00:00:00 2001
From: dreyco676 <dreyco676@gmail.com>
Date: Wed, 8 Feb 2017 09:17:30 -0600
Subject: [PATCH 1/4] added geopy, fixed conversion to float

---
 Intro to Geospatial Data with Python.ipynb | 13878 ++++++++++++++++++-
 1 file changed, 13667 insertions(+), 211 deletions(-)

diff --git a/Intro to Geospatial Data with Python.ipynb b/Intro to Geospatial Data with Python.ipynb
index a6645da..8008122 100644
--- a/Intro to Geospatial Data with Python.ipynb	
+++ b/Intro to Geospatial Data with Python.ipynb	
@@ -247,7 +247,9 @@
     "\n",
     "`conda install pyshp`\n",
     "\n",
-    "`conda install pyproj`"
+    "`conda install pyproj`\n",
+    "\n",
+    "`conda install geopy`"
    ]
   },
   {
@@ -326,11 +328,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T15:09:47.869359",
-     "start_time": "2017-01-20T15:09:40.434905"
+     "end_time": "2017-02-08T09:09:49.226515",
+     "start_time": "2017-02-08T09:09:42.931561"
     },
     "collapsed": false
    },
@@ -381,11 +383,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T15:58:40.606929",
-     "start_time": "2017-01-20T15:57:05.771586"
+     "end_time": "2017-02-08T09:11:33.979172",
+     "start_time": "2017-02-08T09:09:49.230018"
     },
     "collapsed": false
    },
@@ -409,11 +411,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:18:10.729846",
-     "start_time": "2017-01-20T16:18:10.717821"
+     "end_time": "2017-02-08T09:11:34.385765",
+     "start_time": "2017-02-08T09:11:33.982674"
     },
     "collapsed": true
    },
@@ -434,15 +436,97 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T15:58:42.624273",
-     "start_time": "2017-01-20T15:58:41.035184"
+     "end_time": "2017-02-08T09:11:36.261747",
+     "start_time": "2017-02-08T09:11:34.387767"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
+      "RangeIndex: 427762 entries, 0 to 427761\n",
+      "Data columns (total 70 columns):\n",
+      "ACRES_DEED    427762 non-null float64\n",
+      "ACRES_POLY    427762 non-null float64\n",
+      "AGPRE_ENRD    0 non-null object\n",
+      "AGPRE_EXPD    0 non-null object\n",
+      "AG_PRESERV    427762 non-null object\n",
+      "BASEMENT      111420 non-null object\n",
+      "BLDG_NUM      427762 non-null object\n",
+      "BLOCK         305269 non-null object\n",
+      "CITY          427762 non-null object\n",
+      "CITY_USPS     414475 non-null object\n",
+      "COOLING       157514 non-null object\n",
+      "COUNTY_ID     427762 non-null object\n",
+      "DWELL_TYPE    0 non-null object\n",
+      "EMV_BLDG      427762 non-null float64\n",
+      "EMV_LAND      427762 non-null float64\n",
+      "EMV_TOTAL     427762 non-null float64\n",
+      "FIN_SQ_FT     427762 non-null float64\n",
+      "GARAGE        157514 non-null object\n",
+      "GARAGESQFT    157514 non-null object\n",
+      "GREEN_ACRE    427762 non-null object\n",
+      "HEATING       156532 non-null object\n",
+      "HOMESTEAD     426337 non-null object\n",
+      "HOME_STYLE    152400 non-null object\n",
+      "LANDMARK      0 non-null object\n",
+      "LOT           290705 non-null object\n",
+      "MULTI_USES    0 non-null object\n",
+      "NUM_UNITS     0 non-null object\n",
+      "OPEN_SPACE    427762 non-null object\n",
+      "OWNER_MORE    0 non-null object\n",
+      "OWNER_NAME    426336 non-null object\n",
+      "OWN_ADD_L1    0 non-null object\n",
+      "OWN_ADD_L2    0 non-null object\n",
+      "OWN_ADD_L3    0 non-null object\n",
+      "PARC_CODE     427762 non-null int64\n",
+      "PIN           427762 non-null object\n",
+      "PLAT_NAME     426333 non-null object\n",
+      "PREFIXTYPE    0 non-null object\n",
+      "PREFIX_DIR    0 non-null object\n",
+      "SALE_DATE     331140 non-null object\n",
+      "SALE_VALUE    427762 non-null float64\n",
+      "SCHOOL_DST    426337 non-null object\n",
+      "SPEC_ASSES    427762 non-null float64\n",
+      "STREETNAME    427762 non-null object\n",
+      "STREETTYPE    0 non-null object\n",
+      "SUFFIX_DIR    0 non-null object\n",
+      "Shape_Area    427762 non-null float64\n",
+      "Shape_Le_1    427762 non-null float64\n",
+      "Shape_Leng    427762 non-null float64\n",
+      "TAX_ADD_L1    426189 non-null object\n",
+      "TAX_ADD_L2    426071 non-null object\n",
+      "TAX_ADD_L3    62165 non-null object\n",
+      "TAX_CAPAC     427762 non-null float64\n",
+      "TAX_EXEMPT    427762 non-null object\n",
+      "TAX_NAME      426337 non-null object\n",
+      "TORRENS       427762 non-null object\n",
+      "TOTAL_TAX     427762 non-null float64\n",
+      "UNIT_INFO     51470 non-null object\n",
+      "USE1_DESC     426337 non-null object\n",
+      "USE2_DESC     4398 non-null object\n",
+      "USE3_DESC     752 non-null object\n",
+      "USE4_DESC     207 non-null object\n",
+      "WSHD_DIST     350447 non-null object\n",
+      "XUSE1_DESC    17641 non-null object\n",
+      "XUSE2_DESC    1341 non-null object\n",
+      "XUSE3_DESC    250 non-null object\n",
+      "XUSE4_DESC    36 non-null object\n",
+      "YEAR_BUILT    427762 non-null int64\n",
+      "ZIP           427762 non-null object\n",
+      "ZIP4          0 non-null object\n",
+      "geometry      427762 non-null object\n",
+      "dtypes: float64(13), int64(2), object(55)\n",
+      "memory usage: 228.4+ MB\n"
+     ]
+    }
+   ],
    "source": [
     "hennepin.info()"
    ]
@@ -474,11 +558,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:11:36.649840",
+     "start_time": "2017-02-08T09:11:36.264750"
+    },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "hennepin['PIN'].nunique(dropna=True) / len(hennepin['PIN'])"
    ]
@@ -498,11 +597,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T15:58:50.757842",
-     "start_time": "2017-01-20T15:58:44.184341"
+     "end_time": "2017-02-08T09:11:38.683278",
+     "start_time": "2017-02-08T09:11:36.651845"
     },
     "collapsed": true
    },
@@ -524,15 +623,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T15:58:50.797872",
-     "start_time": "2017-01-20T15:58:50.759844"
+     "end_time": "2017-02-08T09:11:38.718311",
+     "start_time": "2017-02-08T09:11:38.688282"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['N', 'Y']"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "list(hennepin['GREEN_ACRE'].unique())"
    ]
@@ -548,11 +658,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:11:39.455386",
+     "start_time": "2017-02-08T09:11:38.720312"
+    },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "54"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "column_list = list(hennepin.select_dtypes(include=['object']).columns.values)\n",
     "# how many are there?\n",
@@ -570,11 +695,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T15:58:50.836899",
-     "start_time": "2017-01-20T15:58:50.802876"
+     "end_time": "2017-02-08T09:11:39.465393",
+     "start_time": "2017-02-08T09:11:39.457888"
     },
     "collapsed": true
    },
@@ -594,15 +719,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T15:58:51.429708",
-     "start_time": "2017-01-20T15:58:50.841903"
+     "end_time": "2017-02-08T09:12:00.234756",
+     "start_time": "2017-02-08T09:11:39.467895"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "unhashable type: 'Polygon'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-10-8a146442be0b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mhennepin\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mconvert_to_categorical\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhennepin\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumn_list\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32m<ipython-input-9-a918ea306573>\u001b[0m in \u001b[0;36mconvert_to_categorical\u001b[0;34m(df, cols)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0mcol\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mcols\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m         \u001b[1;31m# get number of unique values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0munique_vals\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcol\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m         \u001b[1;31m# calculate the ratio of unique values to total number of rows\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0munique_ratio\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0munique_vals\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\base.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    962\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    963\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 964\u001b[0;31m         \u001b[1;32mreturn\u001b[0m \u001b[0munique1d\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    965\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    966\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mnunique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdropna\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\nanops.py\u001b[0m in \u001b[0;36munique1d\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m    794\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    795\u001b[0m         \u001b[0mtable\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_hash\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPyObjectHashTable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 796\u001b[0;31m         \u001b[0muniques\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtable\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_ensure_object\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    797\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0muniques\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mpandas\\hashtable.pyx\u001b[0m in \u001b[0;36mpandas.hashtable.PyObjectHashTable.unique (pandas\\hashtable.c:13585)\u001b[0;34m()\u001b[0m\n",
+      "\u001b[0;31mTypeError\u001b[0m: unhashable type: 'Polygon'"
+     ]
+    }
+   ],
    "source": [
     "hennepin = convert_to_categorical(hennepin, column_list)"
    ]
@@ -618,11 +759,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:00:10.168953",
-     "start_time": "2017-01-20T15:59:50.061333"
+     "end_time": "2017-02-08T09:12:52.733292",
+     "start_time": "2017-02-08T09:12:52.103781"
     },
     "collapsed": false
    },
@@ -644,15 +785,96 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:00:13.074130",
-     "start_time": "2017-01-20T16:00:10.169955"
+     "end_time": "2017-02-08T09:12:54.449323",
+     "start_time": "2017-02-08T09:12:52.735294"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
+      "Index: 427762 entries, 053-0102724110003 to 053-3612123410019\n",
+      "Data columns (total 69 columns):\n",
+      "ACRES_DEED    427762 non-null float64\n",
+      "ACRES_POLY    427762 non-null float64\n",
+      "AGPRE_ENRD    0 non-null category\n",
+      "AGPRE_EXPD    0 non-null category\n",
+      "AG_PRESERV    427762 non-null category\n",
+      "BASEMENT      111420 non-null category\n",
+      "BLDG_NUM      427762 non-null category\n",
+      "BLOCK         305269 non-null category\n",
+      "CITY          427762 non-null category\n",
+      "CITY_USPS     414475 non-null category\n",
+      "COOLING       157514 non-null category\n",
+      "COUNTY_ID     427762 non-null category\n",
+      "DWELL_TYPE    0 non-null category\n",
+      "EMV_BLDG      427762 non-null float64\n",
+      "EMV_LAND      427762 non-null float64\n",
+      "EMV_TOTAL     427762 non-null float64\n",
+      "FIN_SQ_FT     427762 non-null float64\n",
+      "GARAGE        157514 non-null category\n",
+      "GARAGESQFT    157514 non-null category\n",
+      "GREEN_ACRE    427762 non-null category\n",
+      "HEATING       156532 non-null category\n",
+      "HOMESTEAD     426337 non-null category\n",
+      "HOME_STYLE    152400 non-null category\n",
+      "LANDMARK      0 non-null category\n",
+      "LOT           290705 non-null category\n",
+      "MULTI_USES    0 non-null category\n",
+      "NUM_UNITS     0 non-null category\n",
+      "OPEN_SPACE    427762 non-null category\n",
+      "OWNER_MORE    0 non-null category\n",
+      "OWNER_NAME    426336 non-null object\n",
+      "OWN_ADD_L1    0 non-null category\n",
+      "OWN_ADD_L2    0 non-null category\n",
+      "OWN_ADD_L3    0 non-null category\n",
+      "PARC_CODE     427762 non-null int64\n",
+      "PLAT_NAME     426333 non-null category\n",
+      "PREFIXTYPE    0 non-null category\n",
+      "PREFIX_DIR    0 non-null category\n",
+      "SALE_DATE     331140 non-null category\n",
+      "SALE_VALUE    427762 non-null float64\n",
+      "SCHOOL_DST    426337 non-null category\n",
+      "SPEC_ASSES    427762 non-null float64\n",
+      "STREETNAME    427762 non-null category\n",
+      "STREETTYPE    0 non-null category\n",
+      "SUFFIX_DIR    0 non-null category\n",
+      "Shape_Area    427762 non-null float64\n",
+      "Shape_Le_1    427762 non-null float64\n",
+      "Shape_Leng    427762 non-null float64\n",
+      "TAX_ADD_L1    426189 non-null object\n",
+      "TAX_ADD_L2    426071 non-null category\n",
+      "TAX_ADD_L3    62165 non-null category\n",
+      "TAX_CAPAC     427762 non-null float64\n",
+      "TAX_EXEMPT    427762 non-null category\n",
+      "TAX_NAME      426337 non-null object\n",
+      "TORRENS       427762 non-null category\n",
+      "TOTAL_TAX     427762 non-null float64\n",
+      "UNIT_INFO     51470 non-null category\n",
+      "USE1_DESC     426337 non-null category\n",
+      "USE2_DESC     4398 non-null category\n",
+      "USE3_DESC     752 non-null category\n",
+      "USE4_DESC     207 non-null category\n",
+      "WSHD_DIST     350447 non-null category\n",
+      "XUSE1_DESC    17641 non-null category\n",
+      "XUSE2_DESC    1341 non-null category\n",
+      "XUSE3_DESC    250 non-null category\n",
+      "XUSE4_DESC    36 non-null category\n",
+      "YEAR_BUILT    427762 non-null int64\n",
+      "ZIP           427762 non-null category\n",
+      "ZIP4          0 non-null category\n",
+      "geometry      427762 non-null object\n",
+      "dtypes: category(50), float64(13), int64(2), object(4)\n",
+      "memory usage: 91.4+ MB\n"
+     ]
+    }
+   ],
    "source": [
     "hennepin.info()"
    ]
@@ -676,16 +898,9270 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:01:22.835257",
-     "start_time": "2017-01-20T16:00:13.076131"
+     "end_time": "2017-02-08T09:14:09.573381",
+     "start_time": "2017-02-08T09:12:54.452327"
     },
     "collapsed": false,
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Anaconda3\\lib\\site-packages\\matplotlib\\__init__.py:1357: UserWarning:  This call to matplotlib.use() has no effect\n",
+      "because the backend has already been chosen;\n",
+      "matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
+      "or matplotlib.backends is imported for the first time.\n",
+      "\n",
+      "  warnings.warn(_use_error_msg)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<meta charset=\"UTF-8\">\n",
+       "\n",
+       "<style>\n",
+       "\n",
+       "        .variablerow {\n",
+       "            border: 1px solid #e1e1e8;\n",
+       "            border-top: hidden;\n",
+       "            padding-top: 2em;\n",
+       "            padding-bottom: 2em;\n",
+       "            padding-left: 1em;\n",
+       "            padding-right: 1em;\n",
+       "        }\n",
+       "\n",
+       "        .headerrow {\n",
+       "            border: 1px solid #e1e1e8;\n",
+       "            background-color: #f5f5f5;\n",
+       "            padding: 2em;\n",
+       "        }\n",
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+       "            margin-top: -1em;\n",
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+       "\n",
+       "        .dl-horizontal dt {\n",
+       "            text-align: left;\n",
+       "            padding-right: 1em;\n",
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+       "        .dl-horizontal dd {\n",
+       "            margin-left: 0;\n",
+       "        }\n",
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+       "            opacity: 0.4;\n",
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+       "\n",
+       "        .container.pandas-profiling {\n",
+       "            max-width:975px;\n",
+       "        }\n",
+       "\n",
+       "        .col-md-12 {\n",
+       "            padding-left: 2em;\n",
+       "        }\n",
+       "\n",
+       "        .indent {\n",
+       "            margin-left: 1em;\n",
+       "        }\n",
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+       "        /* Table example_values */\n",
+       "            table.example_values {\n",
+       "                border: 0;\n",
+       "            }\n",
+       "\n",
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+       "                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",
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+       "            table.stats {\n",
+       "                border: 0;\n",
+       "            }\n",
+       "\n",
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+       "                border: 0;\n",
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+       "\n",
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+       "        /* Sample table */\n",
+       "            table.sample {\n",
+       "                border: 0;\n",
+       "                margin-bottom: 2em;\n",
+       "                margin-left:1em;\n",
+       "            }\n",
+       "            .sample tr {\n",
+       "                border:0;\n",
+       "            }\n",
+       "            .sample td, .sample th{\n",
+       "                padding: 0.5em;\n",
+       "                white-space: nowrap;\n",
+       "                border: none;\n",
+       "\n",
+       "            }\n",
+       "\n",
+       "            .sample thead {\n",
+       "                border-top: 0;\n",
+       "                border-bottom: 2px solid #ddd;\n",
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+       "            .sample td {\n",
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+       "\n",
+       "        /* There is no good solution available to make the divs equal height and then center ... */\n",
+       "            .histogram {\n",
+       "                margin-top: 3em;\n",
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+       "\n",
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+       "                margin-bottom: 2em;\n",
+       "                border: 0;\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",
+       "            td.fillremaining{\n",
+       "                width:auto;\n",
+       "                max-width: none;\n",
+       "            }\n",
+       "\n",
+       "            td.number, th.number {\n",
+       "                text-align:right ;\n",
+       "            }\n",
+       "\n",
+       "        /* Freq mini */\n",
+       "            .freq.mini td{\n",
+       "                width: 50%;\n",
+       "                padding: 1px;\n",
+       "                font-size: 12px;\n",
+       "\n",
+       "            }\n",
+       "            table.freq.mini {\n",
+       "                 width:100%;\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",
+       "            .missing {\n",
+       "                color: #a94442;\n",
+       "            }\n",
+       "            .alert, .alert > th, .alert > td {\n",
+       "                color: #a94442;\n",
+       "            }\n",
+       "\n",
+       "\n",
+       "        /* Bars in tables */\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",
+       "            .other .bar {\n",
+       "                background-color: #999;\n",
+       "            }\n",
+       "            .missing .bar{\n",
+       "                background-color: #a94442;\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",
+       "</style>\n",
+       "\n",
+       "<div class=\"container pandas-profiling\">\n",
+       "    <div class=\"row headerrow highlight\">\n",
+       "        <h1>Overview</h1>\n",
+       "    </div>\n",
+       "    <div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-6 namecol\">\n",
+       "        <p class=\"h4\">Dataset info</p>\n",
+       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
+       "            <tbody>\n",
+       "            <tr>\n",
+       "                <th>Number of variables</th>\n",
+       "                <td>66 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Number of observations</th>\n",
+       "                <td>427762 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Total Missing (%)</th>\n",
+       "                <td>43.4% </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Total size in memory</th>\n",
+       "                <td>78.4 MiB </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Average record size in memory</th>\n",
+       "                <td>192.2 B </td>\n",
+       "            </tr>\n",
+       "            </tbody>\n",
+       "        </table>\n",
+       "    </div>\n",
+       "    <div class=\"col-md-6 namecol\">\n",
+       "        <p class=\"h4\">Variables types</p>\n",
+       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
+       "            <tbody>\n",
+       "            <tr>\n",
+       "                <th>Numeric</th>\n",
+       "                <td>8 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Categorical</th>\n",
+       "                <td>34 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Date</th>\n",
+       "                <td>0 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Text (Unique)</th>\n",
+       "                <td>1 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Rejected</th>\n",
+       "                <td>23 </td>\n",
+       "            </tr>\n",
+       "            </tbody>\n",
+       "        </table>\n",
+       "    </div>\n",
+       "    <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n",
+       "        <p class=\"h4\">Warnings</p>\n",
+       "        <ul class=\"list-unstyled\"><li><code>ACRES_DEED</code> has constant value 0 <span class=\"label label-primary\">Rejected</span></l><li><code>ACRES_POLY</code> is highly skewed (γ1 = 67.596)</l><li><code>AGPRE_ENRD</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>AGPRE_ENRD</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>AGPRE_EXPD</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>AGPRE_EXPD</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>BASEMENT</code> has 316342 / 74.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>BLDG_NUM</code> has a high cardinality: 21678 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>BLOCK</code> has 122493 / 28.6% missing values <span class=\"label label-default\">Missing</span></l><li><code>BLOCK</code> has a high cardinality: 218 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>CITY_USPS</code> has 13287 / 3.1% missing values <span class=\"label label-default\">Missing</span></l><li><code>COOLING</code> has 270248 / 63.2% missing values <span class=\"label label-default\">Missing</span></l><li><code>COUNTY_ID</code> has constant value 053 <span class=\"label label-primary\">Rejected</span></l><li><code>DWELL_TYPE</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>DWELL_TYPE</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>EMV_BLDG</code> has 35878 / 8.4% zeros</l><li><code>EMV_BLDG</code> is highly skewed (γ1 = 200.8)</l><li><code>EMV_LAND</code> has 22919 / 5.4% zeros</l><li><code>EMV_LAND</code> is highly skewed (γ1 = 73.643)</l><li><code>EMV_TOTAL</code> is highly correlated with <code>EMV_BLDG</code> (ρ = 0.9836) <span class=\"label label-primary\">Rejected</span></l><li><code>FIN_SQ_FT</code> has 282593 / 66.1% zeros</l><li><code>GARAGE</code> has 270248 / 63.2% missing values <span class=\"label label-default\">Missing</span></l><li><code>GARAGESQFT</code> has 270248 / 63.2% missing values <span class=\"label label-default\">Missing</span></l><li><code>GARAGESQFT</code> has a high cardinality: 1444 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>HEATING</code> has 271230 / 63.4% missing values <span class=\"label label-default\">Missing</span></l><li><code>HOME_STYLE</code> has 275362 / 64.4% missing values <span class=\"label label-default\">Missing</span></l><li><code>LANDMARK</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>LANDMARK</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>LOT</code> has 137057 / 32.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>LOT</code> has a high cardinality: 392 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>MULTI_USES</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>MULTI_USES</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>NUM_UNITS</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>NUM_UNITS</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>OWNER_MORE</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>OWNER_MORE</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>OWN_ADD_L1</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>OWN_ADD_L1</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>OWN_ADD_L2</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>OWN_ADD_L2</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>OWN_ADD_L3</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>OWN_ADD_L3</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>PARC_CODE</code> has constant value 0 <span class=\"label label-primary\">Rejected</span></l><li><code>PLAT_NAME</code> has a high cardinality: 18488 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>PREFIXTYPE</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>PREFIXTYPE</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>PREFIX_DIR</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>PREFIX_DIR</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>SALE_DATE</code> has 96622 / 22.6% missing values <span class=\"label label-default\">Missing</span></l><li><code>SALE_DATE</code> has a high cardinality: 553 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>SALE_VALUE</code> has 97862 / 22.9% zeros</l><li><code>SALE_VALUE</code> is highly skewed (γ1 = 91.079)</l><li><code>SPEC_ASSES</code> has 358992 / 83.9% zeros</l><li><code>SPEC_ASSES</code> is highly skewed (γ1 = 134.05)</l><li><code>STREETNAME</code> has a high cardinality: 7387 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>STREETTYPE</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>STREETTYPE</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>SUFFIX_DIR</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>SUFFIX_DIR</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>Shape_Area</code> is highly correlated with <code>ACRES_POLY</code> (ρ = 1) <span class=\"label label-primary\">Rejected</span></l><li><code>Shape_Leng</code> is highly correlated with <code>Shape_Le_1</code> (ρ = 1) <span class=\"label label-primary\">Rejected</span></l><li><code>TAX_ADD_L2</code> has a high cardinality: 54604 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>TAX_ADD_L3</code> has 365597 / 85.5% missing values <span class=\"label label-default\">Missing</span></l><li><code>TAX_ADD_L3</code> has a high cardinality: 3193 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>TAX_CAPAC</code> is highly correlated with <code>EMV_TOTAL</code> (ρ = 0.9882) <span class=\"label label-primary\">Rejected</span></l><li><code>TOTAL_TAX</code> is highly correlated with <code>TAX_CAPAC</code> (ρ = 0.99701) <span class=\"label label-primary\">Rejected</span></l><li><code>UNIT_INFO</code> has 376292 / 88.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>UNIT_INFO</code> has a high cardinality: 6850 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>USE2_DESC</code> has 423364 / 99.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>USE3_DESC</code> has 427010 / 99.8% missing values <span class=\"label label-default\">Missing</span></l><li><code>USE4_DESC</code> has 427555 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>WSHD_DIST</code> has 77315 / 18.1% missing values <span class=\"label label-default\">Missing</span></l><li><code>XUSE1_DESC</code> has 410121 / 95.9% missing values <span class=\"label label-default\">Missing</span></l><li><code>XUSE2_DESC</code> has 426421 / 99.7% missing values <span class=\"label label-default\">Missing</span></l><li><code>XUSE3_DESC</code> has 427512 / 99.9% missing values <span class=\"label label-default\">Missing</span></l><li><code>XUSE4_DESC</code> has 427726 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>YEAR_BUILT</code> has 31396 / 7.3% zeros</l><li><code>ZIP</code> has a high cardinality: 78 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>ZIP4</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>ZIP4</code> has constant value  <span class=\"label label-primary\">Rejected</span></l> </ul>\n",
+       "    </div>\n",
+       "</div>\n",
+       "    <div class=\"row headerrow highlight\">\n",
+       "        <h1>Variables</h1>\n",
+       "    </div>\n",
+       "    <div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>ACRES_DEED</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">ACRES_POLY<br/>\n",
+       "            <small>Numeric</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>3556</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>0.8%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "\n",
+       "                <tr>\n",
+       "                    <th>Mean</th>\n",
+       "                    <td>1.1817</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>1305.2</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Zeros (%)</th>\n",
+       "                    <td>0.7%</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram8506900693810133129\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABIFJREFUeJzt2j1oFHkYx/Gfm%2BS4hXAQyYuK2Z3oJrEJaBGDxEIlYCM2nhfQFKYQLSIWV1gJIaZJGUWujSEi5gULK68QxHoPFDF4SFx3Ec3lBSzCgrj7WDl3MXcPCbeZSfD7gSky/xnmCcyXZXZWFoOJiQmTxMa2oW1iYiLye7VaMQiCQJJ07do1NTc3r/u8jo4O1dbWbtJU2KpmZ2fV19cX3jdRiiWQZDIpSRoZGdnQeT%2BfPaupycnNGAnbwNf7JkqxBPJV5pchJRuDdR1b%2BP03zc//tbkDAd%2BINZCa2jr98FPDuo5N1Pwoqby5AwHfSMQ9ALCVEQjgIBDAQSCAg0AAB4EADgIBHAQCOAgEcBAI4CAQwEEggINAAAeBAA4CARwEAjgIBHAQCOAgEMBBIICDQAAHgQAOAgEcBAI4CARwEAjgIBDAQSCAg0AAB4EADgIBHAQCOAgEcBAI4CAQwEEggINAAAeBAA4CARwEAjgIBHAQCOAgEMBRHcdFi8WiJOnP8V%2B1I7G%2BRj9//qSVQ4d09%2B7dDV0rkUioXC5zzhY9R5Lq6%2BvV0NDwn%2Buzs7OS/r5vohRLILlcTpJU%2BvxpQ%2Bf9kc2qr69vEybCdpDL5dTd3R3pNXeYmUV6RUmLi4t69OiRgiBQMpmM%2BvLYZorFonK5nE6ePKn6%2BvpIrx1LIMB2wUM64CAQwBF5IK9fv1Z3d7fa29vV1dUVfkOB78fVq1fV0tKiRCKh58%2Bfr1l//PixqqurdfPmzXBfsVjUuXPn1NraqgMHDmhmZiZcMzNduXJFmUxGbW1tun37duWGtYidOHHCxsfHzcxsenraOjs7ox4BMXv69Km9e/fOWlpa7NmzZ6vWPn78aIcPH7bTp0/b6OhouH9oaMj6%2B/vNzOzNmzfW2Nhoy8vLZmZ2584d6%2BnpMTOz5eVlS6fT9vLly4rMGuknyMLCgrLZrM6fPy9JOnPmjAqFgubm5qIcAzE7evSo9uzZI/uX74cGBgZ0/fp17dy5c9X%2B%2B/fv6/Lly5KkIAh07NgxPXjwQJI0OTmpixcvSpLq6urU29ure/fuVWTWSAMpFAravXu3Ev94OZhKpZTP56McA1vUzMyMqqqqdOrUqTVr%2BXxe6XQ6/DsIgvC%2B8db%2Br1heFALfmp%2Bf1/DwsJ48eRL3KKtEGkhzc7Pev3%2Bvcrkcfork83mlUqkox8AWlM1m9eHDBx08eFBmpsXFRT18%2BFALCwu6ceOGUqmU3r59q6amJkkKXxxKCte6urrCtYrdUxV5ktmA48eP29jYmJmZTU1N8ZD%2BHQuCYM1D%2BlcXLlxY9ZA%2BODgYPqTPzc1ZU1OTLS0tmZnZ2NiY9fT0WKlUsqWlJUun0/bixYuKzBh5IK9evbIjR45YW1ubdXZ2VuwfwfZx6dIl27t3r9XU1NiuXbustbV1zTH9/f2rAllZWbHe3l7bv3%2B/tbe32/T0dLhWKpVsYGDA9u3bZ5lMxm7dulWxWfmpCeDgTTrgIBDAQSCAg0AAB4EADgIBHAQCOAgEcBAI4CAQwEEggINAAMcXNxJNyQs1J2oAAAAASUVORK5CYII%3D\">\n",
+       "\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives8506900693810133129,#minihistogram8506900693810133129\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives8506900693810133129\">\n",
+       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
+       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles8506900693810133129\"\n",
+       "                                                  aria-controls=\"quantiles8506900693810133129\" role=\"tab\"\n",
+       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#histogram8506900693810133129\" aria-controls=\"histogram8506900693810133129\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#common8506900693810133129\" aria-controls=\"common8506900693810133129\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#extreme8506900693810133129\" aria-controls=\"extreme8506900693810133129\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
+       "\n",
+       "    </ul>\n",
+       "\n",
+       "    <div class=\"tab-content\">\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles8506900693810133129\">\n",
+       "            <div class=\"col-md-4 col-md-offset-1\">\n",
+       "                <p class=\"h4\">Quantile statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Minimum</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>5-th percentile</th>\n",
+       "                        <td>0.07</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q1</th>\n",
+       "                        <td>0.15</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Median</th>\n",
+       "                        <td>0.26</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q3</th>\n",
+       "                        <td>0.53</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>95-th percentile</th>\n",
+       "                        <td>4.5</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Maximum</th>\n",
+       "                        <td>1305.2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Range</th>\n",
+       "                        <td>1305.2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Interquartile range</th>\n",
+       "                        <td>0.38</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "            <div class=\"col-md-4 col-md-offset-2\">\n",
+       "                <p class=\"h4\">Descriptive statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Standard deviation</th>\n",
+       "                        <td>6.3964</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Coef of variation</th>\n",
+       "                        <td>5.4127</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Kurtosis</th>\n",
+       "                        <td>9865.5</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Mean</th>\n",
+       "                        <td>1.1817</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>MAD</th>\n",
+       "                        <td>1.5226</td>\n",
+       "                    </tr>\n",
+       "                    <tr class=\"alert\">\n",
+       "                        <th>Skewness</th>\n",
+       "                        <td>67.596</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Sum</th>\n",
+       "                        <td>505500</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Variance</th>\n",
+       "                        <td>40.913</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Memory size</th>\n",
+       "                        <td>3.3 MiB</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram8506900693810133129\">\n",
+       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtUVOe9PvBnhgFnHBBk8DIQYqNCDZqIopxWjVICAVFxWWEUI1RjxGBQFA6amIueeLCiiFgNiC1pJYhWQSXGqAlW45VEBI7WFI1NTbhMTEYa5DJcZ//%2BcLF/7gx4SQcI%2BnzWchHe/ezv%2B7LzB9%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%2B9/D1ta23eNKpRIZGRkQBEEcs7e3N8ulp6cjKioKoaGhiIuLw%2BnTp7F06VIYjUbEx8eLOUEQEBQUhMuXL2PFihXQaDRITU2Fj48PioqKMGTIEDFbUlICPz8/eHh4YPPmzSgvL8fGjRtx/fp1HD58WDL/qlWrkJiYiEWLFmHMmDHIy8vDnDlzIJfLodPp/tPLRERERI8KoQvMmjVL8PPzE3x8fIRnnnlGcmzevHmCnZ3dfWsYjUbByclJCA4OlozPnTtXsLOzE3744Qdx7K9//asgk8mE/fv3i2Pff/%2B90LdvX%2BHFF1%2BUnD958mTBxcVFqK2tFcf%2B9Kc/CXK5XPjkk0/EsYqKCsHGxkZYunSp5PyJEycKTz75pGAyme77MxAREdHjodMfEZ46dQr79%2B9HSkrKPXMmkwk1NTUdHj9x4gSqqqqwePFiyfirr76K2tpayd2m3NxcDBw4EDNmzBDHnJycoNPpkJeXh%2BbmZgBATU0N8vPzER4eDrVaLWYjIiKgVquxd%2B9ecezgwYNoaWlBVFSUZP6oqCiUl5fj/Pnz9/z5iIiI6PHRqQ2WyWTC0qVLsXDhQgwfPrzDXH19Pfr06QN7e3toNBpER0eb7YFq2z/l5eUlGffy8oJcLpfsryouLsbo0aPN5vH29kZ9fT2uXbsGALh8%2BTJaWlrMalpbW8PT01NSs6SkBGq1GsOGDTOrKQhCh/u7iIiI6PHTqXuw0tLS8M033%2BBvf/tbhxlnZ2esWLECo0ePhslkwtGjR5GamopLly7h5MmTkMvv9IB6vR5WVlZwcnKSnG9tbQ2NRoPKykpxTK/XY9KkSWZzabVaAEBlZSWGDx8OvV4PmUwmjv84e%2BbMGUnNAQMG3LMmEREREdCJDVZVVRVWr16Nt99%2BG46Ojh3mEhISJN/rdDq4ubnhzTffRE5Ojrh53Gg0wsbGpt0aSqUSRqNR/N5oNKJXr17t5gRBELNtXzvKPmjNu2sRERERdVqD9cYbb4iP%2Bx7W8uXL8dZbbyE/P19ssFQqFZqamtrNNzQ0QKVSid%2BrVCo0Nja2m5PJZGK27WtH2QeteXet9hgMBhw7dgy/%2BMUv7pkjIiIiyzEajbhx4wYCAgLMnoB1tk5psK5fv44//vGP2LJlCyoqKgDceXVCQ0MDmpub8fXXX6NPnz7o27dvu%2BcrlUpoNBpUVVWJY1qtFq2trTAYDJKL1NzcjFu3bsHZ2VmS1ev1ZnXbxtqyWq0WgiB0mP1xzZMnT963ZnuOHTuGuXPndniciIiIOk9WVhZefPHFLp2zUxqsiooKCIKApUuXYsmSJWbHBw8ejJiYGCQnJ7d7fm1tLQwGA/r16yeOeXp6QhAEFBYWIjAwUBy/cOECTCYTPD09Jdm790%2B1KSgoQO/eveHu7g4AGDFiBBQKBQoLCxESEiLmmpubUVJSglmzZklqZmRkoLS0VLLRvaCgADKZTDL/j/3iF78AcOd/8NNPP91h7nGzfPlybN68ubuX8bPB62GO10SK18Mcr4kUr4fUP/7xD8ydO1f8PdyVOqXBGjFiBA4cOGA2/sYbb6C2thZ/%2BMMfMHjwYDQ2NqK5udnsBaTvvPMOAGDy5MnimK%2BvLxwdHZGWliZpsNLS0qBWqzFlyhRxLCQkBLm5udi/fz9%2B%2B9vfArjzmC4nJwfBwcGwtrYGAPTp0wd%2Bfn7IysrCW2%2B9Jb6qITMzE3V1dZKXh06fPh3Lly9Hamoq/vCHP4jj27dvh4uLC8aNG9fh9Wh7LPj000%2B3%2B9eNjyt7e3tej7vwepjjNZHi9TDHayLF69G%2B7tie0ykNlkajQXBwsNn45s2bIZPJMG3aNADA119/jVGjRiEsLEy8K3T06FEcOXIEQUFBkhpKpRJr165FdHQ0dDodAgICcOrUKWRnZ2PdunVwcHAQsyEhIUhJScH8%2BfNx5coVODk5ITU1FSaTCWvWrJGsKSEhAePHj8fEiRMRGRmJsrIyJCcnIyAgAP7%2B/mLOxcUFy5YtQ1JSEpqamjB27FgcOHAAZ8%2BeRXZ2NmQymSUvIREREfVgXfJROXe7uxFxcHDAtGnTkJ%2Bfj8zMTLS2tmLo0KFYv3494uLizM6NioqCjY0NNm3ahEOHDsHV1RUpKSlmjyHlcjmOHDmC%2BPh4bN26FUajEd7e3sjMzISbm5skO2rUKOTn52PlypWIjY2FnZ0dFi5ciHXr1pnNn5iYCEdHR6Snp2Pnzp1wc3PDrl27JI8SiYiIiLq0wTpx4oTke3t7e%2BzcufOhaixYsAALFiy4b87e3h47duzAjh077psdN24cTp8%2B/UDzr1y5EitXrnygLBERET2eOv2jcog6EhYW1t1L%2BFnh9TDHayLF62GO10SK1%2BPnQyYIgtDdi3jUFRUVwcvLCxcvXuTmQyIioi7Snb9/eQeLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrKwLv%2BonMdZSOisbvnAyZ9CqVJi1/uZ4mdEEhER0YNjg9WF/t1Li1qlw/2DPwOG4o/w0UcfscEiIiL6CdhgdSHtr3XoPXBody/jgfxw5Xh3L4GIiKjH4h4sIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFd1mAlJCRALpfj2WefNTtWWlqKwMBA2NnZQaPRICIiAgaDod06GRkZ8PDwgEqlgru7O7Zt29Zurrq6GpGRkejfvz9sbW3h6%2BuL4uLidrPnzp3DhAkToFarodVqERMTg7q6OrOcIAjYsGEDBg8eDJVKhZEjR2LPnj0PcRWIiIjocdAlDVZFRQV%2B//vfw9bWtt1jzz33HL766iusX78e8fHxOHz4MF544QW0tLRIsunp6Vi4cCGeeeYZbNu2DePGjcPSpUuxceNGSU4QBAQFBWHPnj3i8e%2B//x4%2BPj745z//KcmWlJTAz88PDQ0N2Lx5MxYuXIgdO3ZAp9OZrXXVqlV47bXXEBAQgG3btmHQoEGYM2cO9u7da4GrRERERI%2BKLvmw57i4OPz6179GS0sLbt26JTmWkJAAo9GIkpISuLi4AADGjh0Lf39//OUvf8HLL78MAGhoaMCbb76JadOm4a9//SsAYMGCBWhtbcXatWsRGRkJe3t7AMC%2Bfftw/vx55ObmYsaMGQCA0NBQuLu7Y/Xq1cjKyhLnX7VqFRwdHfHpp59CrVYDAAYNGoTIyEjk5%2BfDz88PAFBZWYnk5GQsWbIEW7ZsEeefNGkS4uPjERoaCplM1lmXkIiIiHqQTr%2BDderUKezfvx8pKSntHt%2B/fz%2BmTp0qNlcA8Pzzz8Pd3V1yZ%2BjEiROoqqrC4sWLJee/%2BuqrqK2txeHDh8Wx3NxcDBw4UGyuAMDJyQk6nQ55eXlobm4GANTU1CA/Px/h4eFicwUAERERUKvVkvkPHjyIlpYWREVFSeaPiopCeXk5zp8//zCXhYiIiB5hndpgmUwmLF26FAsXLsTw4cPNjldWVuK7777DmDFjzI55e3tL9ky1/beXl5ck5%2BXlBblcbpYdPXp0uzXr6%2Btx7do1AMDly5fR0tJiVtPa2hqenp6SmiUlJVCr1Rg2bJhZTUEQOtzfRURERI%2BfTm2w0tLS8M0332Dt2rXtHtfr9QAArVZrdkyr1aKqqkq826TX62FlZQUnJydJztraGhqNBpWVlZK6HdUEIGb1ej1kMlmH2R/XHDBgwH1rEhEREXVag1VVVYXVq1fj7bffhqOjY7sZo9EIAOjVq5fZMaVSKckYjUbY2Ni0W0epVIq5tmxHNQVBkNS81/wPWvPuWkRERESd1mC98cYb0Gg0iI6O7jCjUqkAAI2NjWbHGhoaJBmVSoWmpqZ26zQ0NIi5tmxHNWUymaTmveZ/0Jp31yIiIiLqlL8ivH79Ov74xz9iy5YtqKioAHDn1QkNDQ1obm7G119/jT59%2BoiP19oeFd5Nr9fD0dER1tbWAO48imttbYXBYJA8JmxubsatW7fg7Owsjmm12g5rAhCzWq0WgiB0mP1xzZMnT9635r2UfZIOK6VaMubo4QPH4T73PZeIiIg6tnv3buzevVsyVl1d3U2r6aQGq6KiAoIgYOnSpViyZInZ8cGDByMmJgbJycno168fCgsLzTKff/45PD09xe89PT0hCAIKCwsRGBgojl%2B4cAEmk8kse%2BbMGbOaBQUF6N27N9zd3QEAI0aMgEKhQGFhIUJCQsRcc3MzSkpKMGvWLEnNjIwMlJaWSja6FxQUQCaTSebviKv/IvQeOPS%2BOSIiIno4YWFhCAsLk4wVFRWZ/SFbV%2BmUR4QjRozAgQMHcODAARw8eFD8N3z4cAwaNAgHDx7EggULAAAzZ87Ehx9%2BKN7pAoDjx4/j2rVrkpd9%2Bvr6wtHREWlpaZK50tLSoFarMWXKFHEsJCQEN2/exP79%2B8Uxg8GAnJwcBAcHi3fF%2BvTpAz8/P2RlZUne3J6ZmYm6ujrJ/NOnT4dCoUBqaqpk/u3bt8PFxQXjxo37Ty4ZERERPUI65Q6WRqNBcHCw2fjmzZshk8kwbdo0cWzVqlXIycmBj48PYmJiUFNTg6SkJIwcORLz5s0Tc0qlEmvXrkV0dDR0Oh0CAgJw6tQpZGdnY926dXBwcBCzISEhSElJwfz583HlyhU4OTkhNTUVJpMJa9askawpISEB48ePx8SJExEZGYmysjIkJycjICAA/v7%2BYs7FxQXLli1DUlISmpqaMHbsWBw4cABnz55FdnY2XzJKREREoi55k/vdftyIPPHEE/j0008RGxuL119/HTY2Npg6dSqSkpLEO01toqKiYGNjg02bNuHQoUNwdXVFSkqK2WNIuVyOI0eOID4%2BHlu3boXRaIS3tzcyMzPh5uYmyY4aNQr5%2BflYuXIlYmNjYWdnh4ULF2LdunVma09MTISjoyPS09Oxc%2BdOuLm5YdeuXZJHiUREREQyQRCE7l7Eo67tGfDTL23tMXuwLiXPxPqEtYiNje3upRAREf0kbb9/L1682O4LyDtTl3zYMxEREdHjhA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjCOq3B%2BuKLL6DT6TBkyBCo1Wr069cPkyZNwocffijJzZ8/H3K53Oyfh4dHu3UzMjLg4eEBlUoFd3d3bNu2rd1cdXU1IiMj0b9/f9ja2sLX1xfFxcXtZs%2BdO4cJEyZArVZDq9UiJiYGdXV1ZjlBELBhwwYMHjwYKpUKI0eOxJ49ex7yyhAREdGjTtFZhb/%2B%2BmvU1tZi3rx5cHZ2Rn19PXJzcxEcHIwdO3bg5ZdfFrNKpRIZGRkQBEEcs7e3N6uZnp6OqKgohIaGIi4uDqdPn8bSpUthNBoRHx8v5gRBQFBQEC5fvowVK1ZAo9EgNTUVPj4%2BKCoqwpAhQ8RsSUkJ/Pz84OHhgc2bN6O8vBwbN27E9evXcfjwYcn8q1atQmJiIhYtWoQxY8YgLy8Pc%2BbMgVwuh06ns%2BTlIyIioh5MJtzd1XQyQRAwevRoNDY24osvvgBw5w5Wbm4ubt%2B%2Bfc9zGxoa4OrqinHjxiEvL08cDw8PR15eHsrKysSmbO/evZg9ezZyc3MxY8YMAIDBYIC7uzuCgoKQlZUlnh8UFIRLly7h6tWrUKvVAO7cJYuMjMSxY8fg5%2BcHAKisrMRTTz2FV155BVu2bBHPnzRpEm7cuIEbN25AJpO1u/aioiJ4eXnh6Ze2ovfAoQ972brFpeSZWJ%2BwFrGxsd29FCIiop%2Bk7ffvxYsXMXr06C6du0v3YMlkMri6uuKHH34wO2YymVBTU9PhuSdOnEBVVRUWL14sGX/11VdRW1sruduUm5uLgQMHis0VADg5OUGn0yEvLw/Nzc0AgJqaGuTn5yM8PFxsrgAgIiICarUae/fuFccOHjyIlpYWREVFSeaPiopCeXk5zp8//4BXgYiIiB51nd5g1dfX49atW/jqq6%2BwefNmHDlyRLwrdHemT58%2BsLe3h0ajQXR0tNkeqLb9U15eXpJxLy8vyOVyyf6q4uLidjtVb29v1NfX49q1awCAy5cvo6WlxaymtbU1PD09JTVLSkqgVqsxbNgws5qCIHS4v4uIiIgeP522B6tNXFwc0tPTAQByuRwzZ87E1q1bxePOzs5YsWIFRo8eDZPJhKNHjyI1NRWXLl3CyZMnIZff6QH1ej2srKzg5OQkqW9tbQ2NRoPKykpxTK/XY9KkSWZr0Wq1AO487hs%2BfDj0ej1kMpk4/uPsmTNnJDUHDBhwz5pEREREQBc0WMuXL0doaCgqKyuxd%2B9etLa2orGxUTyekJAgyet0Ori5ueHNN99ETk6OuHncaDTCxsam3TmUSiWMRqP4vdFoRK9evdrNCYIgZtu%2BdpR90Jp31yIiIiLq9EeE7u7u8PX1xdy5c/HBBx%2BgpqYGwcHB9zxn%2BfLlkMlkyM/PF8dUKhWamprazTc0NEClUkmydzdxd%2BdkMpmYbfvaUfZBa95di4iIiKjT72D9WEhICF555RV8%2BeWXcHNzazejVCqh0WhQVVUljmm1WrS2tsJgMEgeEzY3N%2BPWrVtwdnaWZPV6vVndtrG2rFarhSAIHWZ/XPPkyZP3rXkvZZ%2Bkw0qplow5evjAcbjPfc8lIiKiju3evRu7d%2B%2BWjFVXV3fTarqhwWp7lHavH7q2thYGgwH9%2BvUTxzw9PSEIAgoLCxEYGCiOX7hwASaTCZ6enpLs3fun2hQUFKB3795wd3cHAIwYMQIKhQKFhYUICQkRc83NzSgpKcGsWbMkNTMyMlBaWirZ6F5QUACZTCaZvyOu/ot6zGsaiIiIepKwsDCEhYVJxtpe09AdOu0R4ffff2821tLSgp07d0KlUsHDwwONjY2ora01y73zzjsAgMmTJ4tjvr6%2BcHR0RFpamiSblpYGtVqNKVOmiGMhISG4efMm9u/fL44ZDAbk5OQgODgY1tbWAIA%2BffrAz88PWVlZkr9azMzMRF1dneTlodOnT4dCoUBqaqpk/u3bt8PFxQXjxo17oOtCREREj75Ou4O1aNEi3L59GxMnToSLiwu%2B/fZb7Nq1C1evXkVycjJ69%2B6Nr7/%2BGqNGjUJYWJh4V%2Bjo0aM4cuQIgoKCJHu1lEol1q5di%2BjoaOh0OgQEBODUqVPIzs7GunXr4ODgIGZDQkKQkpKC%2BfPn48qVK3ByckJqaipMJhPWrFkjWWdCQgLGjx%2BPiRMnIjIyEmVlZUhOTkZAQAD8/f3FnIuLC5YtW4akpCQ0NTVh7NixOHDgAM6ePYvs7OwOXzJKREREj59Oa7Bmz56NjIwMbN%2B%2BHbdu3YKdnR28vLywceNG8W6Tg4MDpk2bhvz8fGRmZqK1tRVDhw7F%2BvXrERcXZ1YzKioKNjY22LRpEw4dOgRXV1ekpKRgyZIlkpxcLseRI0cQHx%2BPrVu3wmg0wtvbG5mZmWb7vkaNGoX8/HysXLkSsbGxsLOzw8KFC7Fu3Tqz%2BRMTE%2BHo6Ij09HTs3LkTbm5u2LVrl%2BRRIhEREVGXflTO44oflUNERNT1HpuPyiEiIiJ6HLDBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgvrtAbriy%2B%2BgE6nw5AhQ6BWq9GvXz9MmjQJH374oVm2tLQUgYGBsLOzg0ajQUREBAwGQ7t1MzIy4OHhAZVKBXd3d2zbtq3dXHV1NSIjI9G/f3/Y2trC19cXxcXF7WbPnTuHCRMmQK1WQ6vVIiYmBnV1dWY5QRCwYcMGDB48GCqVCiNHjsSePXse4qoQERHR46DTGqyvv/4atbW1mDdvHv7whz/g7bffhkwmQ3BwMP70pz%2BJuYqKCjz33HP46quvsH79esTHx%2BPw4cN44YUX0NLSIqmZnp6OhQsX4plnnsG2bdswbtw4LF26FBs3bpTkBEFAUFAQ9uzZIx7//vvv4ePjg3/%2B85%2BSbElJCfz8/NDQ0IDNmzdj4cKF2LFjB3Q6ndnPtGrVKrz22msICAjAtm3bMGjQIMyZMwd79%2B614JUjIiKink4mCILQVZMJgoDRo0ejsbERX3zxBQBg8eLFyMzMxNWrV%2BHi4gIAOH78OPz9/bFjxw68/PLLAICGhga4urpi3LhxyMvLE2uGh4cjLy8PZWVlsLe3BwDs3bsXs2fPRm5uLmbMmAEAMBgMcHd3R1BQELKyssTzg4KCcOnSJVy9ehVqtRrAnbtkkZGROHbsGPz8/AAAlZWVeOqpp/DKK69gy5Yt4vmTJk3CjRs3cOPGDchksnZ/7qKiInh5eeHpl7ai98ChFrmWne1S8kysT1iL2NjY7l4KERHRT9L2%2B/fixYsYPXp0l87dpXuwZDIZXF1d8cMPP4hj%2B/fvx9SpU8XmCgCef/55uLu7S%2B4MnThxAlVVVVi8eLGk5quvvora2locPnxYHMvNzcXAgQPF5goAnJycoNPpkJeXh%2BbmZgBATU0N8vPzER4eLjZXABAREQG1Wi2Z/%2BDBg2hpaUFUVJRk/qioKJSXl%2BP8%2BfM/9bIQERHRI6bTG6z6%2BnrcunULX331FTZv3owjR45I7gp99913GDNmjNl53t7ekj1Tbf/t5eUlyXl5eUEul5tl2%2BtUvb29UV9fj2vXrgEALl%2B%2BjJaWFrOa1tbW8PT0lNQsKSmBWq3GsGHDzGoKgtDh/i4iIiJ6/HR6gxUXF4d%2B/fph6NChiI%2BPx29/%2B1ts3boVAKDX6wEAWq3W7DytVouqqirxbpNer4eVlRWcnJwkOWtra2g0GlRWVopjer2%2Bw5oAxKxer4dMJusw%2B%2BOaAwYMuG9NIiIiIkVnT7B8%2BXKEhoaisrISe/fuRWtrKxobGwEARqMRANCrVy%2Bz85RKpZixtraG0WiEjY1Nu3MolUqxVts5HdUUBEHM3m/%2BB615dy0iIiKiTr%2BD5e7uDl9fX8ydOxcffPABampqEBwcDABQqVQAIDZcd2toaJBkVCoVmpqa2p2joaFBzLVlO6opk8kkNe81/4PWvLsWERERUaffwfqxkJAQvPLKK/jyyy/Fx2ttjwrvptfr4ejoCGtrawB3HsW1trbCYDBIHhM2Nzfj1q1bcHZ2Fse0Wm2HNQGIWa1WC0EQOsz%2BuObJkyfvW/Neyj5Jh5VSLRlz9PCB43Cf%2B55LREREHdu9ezd2794tGauuru6m1XRDg9X2KK26uhpubm7o168fCgsLzXKff/45PD09xe89PT0hCAIKCwsRGBgojl%2B4cAEmk8kse%2BbMGbOaBQUF6N27N9zd3QEAI0aMgEKhQGFhIUJCQsRcc3MzSkpKMGvWLEnNjIwMlJaWSja6FxQUQCaTSebviKv/oh7zmgYiIqKeJCwsDGFhYZKxttc0dIdOe0T4/fffm421tLRg586dUKlU8PDwAADMnDkTH374ISoqKsTc8ePHce3aNcnLPn19feHo6Ii0tDRJzbS0NKjVakyZMkUcCwkJwc2bN7F//35xzGAwICcnB8HBweJdsT59%2BsDPzw9ZWVmSN7dnZmairq5OMv/06dOhUCiQmpoqmX/79u1wcXHBuHHjHur6EBER0aOr0%2B5gLVq0CLdv38bEiRPh4uKCb7/9Frt27cLVq1eRnJyM3r17A7jzdvScnBz4%2BPggJiYGNTU1SEpKwsiRIzFv3jyxnlKpxNq1axEdHQ2dToeAgACcOnUK2dnZWLduHRwcHMRsSEgIUlJSMH/%2BfFy5cgVOTk5ITU2FyWTCmjVrJOtMSEjA%2BPHjMXHiRERGRqKsrAzJyckICAiAv7%2B/mHNxccGyZcuQlJSEpqYmjB07FgcOHMDZs2eRnZ3d4UtGiYiI6PHTaQ3W7NmzkZGRge3bt%2BPWrVuws7ODl5cXNm7cKLnb9MQTT%2BDTTz9FbGwsXn/9ddjY2GDq1KlISkoS7zS1iYqKgo2NDTZt2oRDhw7B1dUVKSkpWLJkiSQnl8tx5MgHER87AAAgAElEQVQRxMfHY%2BvWrTAajfD29kZmZibc3Nwk2VGjRiE/Px8rV65EbGws7OzssHDhQqxbt87sZ0pMTISjoyPS09Oxc%2BdOuLm5YdeuXZJHiURERERd%2BlE5jyt%2BVA4REVHXe2w%2BKoeIiIjoccAGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYXJp02bhr1796KxsbG710JERET0SJB/8cUXmD17NgYMGIAFCxbg5MmT3b0mIiIioh5N/s9//hNnz57Fiy%2B%2BiEOHDuH555/Hk08%2Biddffx1///vfu3t9RERERD2OHAB%2B/etf491334Ver8cHH3yA8ePHY%2BvWrRg5ciQ8PT2RnJwMvV7f3WslIiIi6hEkm9ytrKwwZcoU7N69G%2BXl5QgJCcGlS5cQHx%2BPJ598EoGBgTh27Fh3rZWIiIioRzD7K8KCggJER0fD3d0d%2B/btw9NPP42EhASsX78eZWVlCAoKwv/8z/90x1qJiIiIegQFAFy7dg1ZWVnIzs7Gv/71Lzg5OSEsLAzh4eEYM2aMGI6Li8OCBQuwdetWrF69utsWTURERPRzphgzZgyKi4thY2ODqVOnYvPmzZg8eTIUCkW7J/j5%2BeHPf/5zFy%2BTiIiIqOdQKJVKpKamYtasWXBwcLjvCcHBwfjyyy%2B7YGlEREREPZPizJkzD3WCWq3GkCFDOmk5RERERD2fvKSkBOnp6R0GduzYgUuXLnXhkoiIiIh6NvmqVatw5MiRDgPHjh3DG2%2B80YVLIiIiIurZ5IWFhZg4cWKHgeeeew4XLlzowiURERER9Wzympoa2NjYdBiwsrJCdXV1Fy6JiIiIqGeTu7m54ZNPPukw8PHHH%2BOpp5566MKFhYWIjo7GiBEjYGtri0GDBmHWrFlmf4E4f/58yOVys38eHh7t1s3IyICHhwdUKhXc3d2xbdu2dnPV1dWIjIxE//79YWtrC19fXxQXF7ebPXfuHCZMmAC1Wg2tVouYmBjU1dWZ5QRBwIYNGzB48GCoVCqMHDkSe/bsecgrQ0RERI86xfz58xEXF4cVK1bgrbfegp2dHQDg9u3bWLt2LT766CMkJiY%2BdOHExEScO3cOoaGhePbZZ/Htt99i69atGD16ND777DNJA6VUKpGRkQFBEMQxe3t7s5rp6emIiopCaGgo4uLicPr0aSxduhRGoxHx8fFiThAEBAUF4fLly1ixYgU0Gg1SU1Ph4%2BODoqIiyV9BlpSUwM/PDx4eHti8eTPKy8uxceNGXL9%2BHYcPH5bMv2rVKiQmJmLRokUYM2YM8vLyMGfOHMjlcuh0uoe%2BRkRERPRokplMJiEiIgK7du2CQqHAE088AQAoLy9HS0sLwsLCkJWVBZlM9lCFCwoKMGbMGMkLS69fv45nnnkGoaGhyMzMBHDnDlZubi5u3759z3oNDQ1wdXXFuHHjkJeXJ46Hh4cjLy8PZWVlYlO2d%2B9ezJ49G7m5uZgxYwYAwGAwwN3dHUFBQcjKyhLPDwoKwqVLl3D16lWo1WoAd%2B6SRUZG4tixY/Dz8wMAVFZW4qmnnsIrr7yCLVu2iOdPmjQJN27cwI0bNzq8RkVFRfDy8sLTL21F74FDH/gadqdLyTOxPmEtYmNju3spREREP0nb79%2BLFy9i9OjRXTq3XCaT4f3338exY8fw0ksvYejQoRg6dCgWLFiAjz/%2BGLt27Xro5goAfvWrX5m9DX7o0KEYPnw4/vGPf5jlTSYTampqOqx34sQJVFVVYfHixZLxV199FbW1tZK7Tbm5uRg4cKDYXAGAk5MTdDod8vLy0NzcDACoqalBfn4%2BwsPDxeYKACIiIqBWq7F3715x7ODBg2hpaUFUVJRk/qioKJSXl%2BP8%2BfP3uhxERET0GBE/7Nnf3x/bt2/Hxx9/jI8//hhpaWni3RtLunnzJpycnCRj9fX16NOnD%2Bzt7aHRaBAdHW22B6pt/5SXl5dk3MvLC3K5XLK/qri4uN1O1dvbG/X19bh27RoA4PLly2hpaTGraW1tDU9PT0nNkpISqNVqDBs2zKymIAgd7u8iIiKix4/8/hHLycrKQkVFBWbPni2OOTs7Y8WKFfjLX/6CPXv2YPr06UhNTcXkyZNhMpnEnF6vh5WVlVlzZm1tDY1Gg8rKSklWq9Wazd821pbV6/WQyWQdZn9cc8CAAfetSURERKQA7uw5ysjIwFdffYV///vfks3mACCTydDY2PgfTVRaWoro6GiMHz8eERER4nhCQoIkp9Pp4ObmhjfffBM5OTni5nGj0djh6ySUSiWMRqP4vdFoRK9evdrNCYIgZtu%2BdpR90Jp31yIiIiJSvPbaa9i4cSOeeeYZhISEoG/fvhaf5ObNm5gyZQr69u2Lffv23XdP1/Lly/HWW28hPz9fbLBUKhWamprazTc0NEClUonfq1SqdhvChoYGyGQyMdv2taPsg9a8uxYRERGR4r333sOMGTOQk5PTKRPcvn0bgYGBuH37Ns6cOYOBAwfe9xylUgmNRoOqqipxTKvVorW1FQaDQfKYsLm5Gbdu3YKzs7Mkq9frzeq2jbVltVotBEHoMPvjmidPnrxvzXsp%2ByQdVkq1ZMzRwweOw33uey4RERF1bPfu3di9e7dkrDtflK4wGo144YUXOqV4Y2Mjpk6diuvXr%2BP48eP45S9/%2BUDn1dbWwmAwoF%2B/fuKYp6cnBEFAYWEhAgMDxfELFy7AZDLB09NTkj1z5oxZ3YKCAvTu3Rvu7u4AgBEjRkChUKCwsBAhISFirrm5GSUlJZg1a5akZkZGBkpLSyUb3QsKCiCTySTzd8TVf1GPeU0DERFRTxIWFoawsDDJWNtrGrqD/De/%2BQ0uXrxo8cImkwk6nQ6fffYZcnJy4O3tbZZpbGxEbW2t2fg777wDAJg8ebI45uvrC0dHR6SlpUmyaWlpUKvVmDJlijgWEhKCmzdvYv/%2B/eKYwWBATk4OgoODYW1tDQDo06cP/Pz8kJWVJfmrxczMTNTV1UleHjp9%2BnQoFAqkpqZK5t%2B%2BfTtcXFwwbty4B7ouRERE9OhTpKam4oUXXsCGDRsQGRkJBwcHixSOjY3FoUOHEBwcDIPBgF27dkmOv/jii/j2228xatQohIWFiXeFjh49iiNHjiAoKAjBwcFiXqlUYu3atYiOjoZOp0NAQABOnTqF7OxsrFu3TrLukJAQpKSkYP78%2Bbhy5QqcnJyQmpoKk8mENWvWSNaRkJCA8ePHY%2BLEiYiMjERZWRmSk5MREBAAf39/Mefi4oJly5YhKSkJTU1NGDt2LA4cOICzZ88iOzv7J70rjIiIiB5NMgcHB6GlpQX19fUAAFtbW1hZWUlDMhlu3br1UIV/85vf4NSpUx0eb21tRXV1NZYuXYqCggJUVlaitbUVQ4cOxdy5cxEXF2e2DuDOXzxu2rQJ//rXv%2BDq6oolS5ZgyZIlZrnq6mrEx8fj4MGDMBqN8Pb2RlJSEkaNGmWWPXfuHFauXImioiLY2dlh1qxZWLduneTlo20SExORnp4OvV4PNzc3rFq1SvLaifbwTe5ERERdrzvf5C578cUXhQe5%2B/L%2B%2B%2B93wXIeTWywiIiIul53NliKuz%2BXj4iIiIj%2Bc136JnciIiKix4EcAMrLyxEdHY3hw4ejX79%2BOH36NIA7f3kXGxuLkpKSbl0kERERUU%2BiKC0txXPPPYfm5maMHTsWpaWlaG5uBgA4OTnhxIkTuH37Nv70pz9181KJiIiIegbFihUrYGtri4KCAlhZWaF///6SwJQpU7Bv375uWh4RERFRzyP/9NNPsXjxYgwYMKDddzkNGjQIFRUV3bA0IiIiop5J3tra2u77ntoYDAbxzedEREREdH/yUaNG4ejRo%2B0ebG1txZ49e/Bf//VfXbwsIiIiop5L/tprr%2BHw4cNYsmQJSktLAdy5a3Xy5EkEBgbiiy%2B%2BwGuvvdbNyyQiIiLqORRTpkxBRkYGli1bJn6QcdunUdva2uK9996Dj49PNy6RiIiIqGdRAMC8efMwc%2BZMHD16FNevX4fJZMKQIUMwefJk2Nvbd/caiYiIiHoURdt/2NnZITQ0tDvXQkRERPRIUFRWVj5Q0NnZuZOXQkRERPRoUDzxxBPtvv/qx1pbW7tgOUREREQ9n2LHjh1mDVZraytu3LiB999/H1qtFosWLeqm5RERERH1PIqXX365w4OrVq2Ct7c3GhoaunBJRERERD2b/F4HbW1t8dJLL2HTpk1dtR4iIiKiHu%2BeDVYbvV7f2esgIiIiemQoOjpQX1%2BPU6dOISkpCZ6enl25JiIiIqIeTWFtbd3uXxG2trZCEAS4uLjg3Xff7YalEREREfVMipUrV5o1WDKZDH379hXf5m5tbd1NyyMiIiLqeRT/%2B7//291rICIiInqkPNAm95%2BisLAQ0dHRGDFiBGxtbTFo0CDMmjULX375pVm2tLQUgYGBsLOzg0ajQUREBAwGQ7t1MzIy4OHhAZVKBXd3d2zbtq3dXHV1NSIjI9G/f3/Y2trC19cXxcXF7WbPnTuHCRMmQK1WQ6vVIiYmBnV1dWY5QRCwYcMGDB48GCqVCiNHjsSePXse4qoQERHR40ARGRn50CfJZDKkp6ffM5OYmIhz584hNDQUzz77LL799lts3boVo0ePxmeffQYPDw8AQEVFBZ577jn07dsX69evR01NDTZu3Ii///3v%2BPzzz6FQ/P99%2BOnp6YiKikJoaCji4uJw%2BvRpLF26FEajEfHx8WJOEAQEBQXh8uXLWLFiBTQaDVJTU%2BHj44OioiIMGTJEzJaUlMDPzw8eHh7YvHkzysvLsXHjRly/fh2HDx%2BW/EyrVq1CYmIiFi1ahDFjxiAvLw9z5syBXC6HTqd76OtIREREjybZE088IRiNRlRVVQG486HPAFBTUwMAcHR0hEqlkp4kk%2BGbb765Z%2BGCggKMGTNG0iBdv34dzzzzDEJDQ5GZmQkAWLx4MTIzM3H16lW4uLgAAI4fPw5/f3/s2LEDbS9CbWhogKurK8aNG4e8vDyxZnh4OPLy8lBWVgZ7e3sAwN69ezF79mzk5uZixowZAACDwQB3d3cEBQUhKytLPD8oKAiXLl3C1atXoVarAdy5SxYZGYljx47Bz88PAFBZWYmnnnoKr7zyCrZs2SKeP2nSJNy4cQM3btzo8COHioqK4OXlhadf2oreA4fe87r9XFxKnon1CWsRGxvb3UshIiL6Sdp%2B/168eBGjR4/u0rnln3zyCXr37o0VK1agsrIS1dXVqK6uRmVlJeLj46FWq5Gfn4%2BysjLx3/2aKwD41a9%2BJWmuAGDo0KEYPnw4/vGPf4hj%2B/fvx9SpU8XmCgCef/55uLu7Y%2B/eveLYiRMnUFVVhcWLF0tqvvrqq6itrZXcbcrNzcXAgQPF5goAnJycoNPpkJeXh%2BbmZgB3msj8/HyEh4eLzRUAREREQK1WS%2BY/ePAgWlpaEBUVJZk/KioK5eXlOH/%2B/H2vCRERET0e5NHR0fD398f69esxcOBA8cDAgQORmJgIPz8/REdHW2zCmzdvwsnJCcCdu0LfffcdxowZY5bz9vaW7Jlq%2B28vLy9JzsvLC3K53CzbXqfq7e2N%2Bvp6XLt2DQBw%2BfJltLS0mNW0traGp6enpGZJSQnUajWGDRtmVlMQhA73dxEREdHjR972KK8jY8aMsdjdmaysLFRUVGD27NkA/v8b4rVarVlWq9WiqqpKvNuk1%2BthZWUlNmdtrK2todFoUFlZKY7p9foOawIQs3q9HjKZrMPsj2sOGDDgvjWJiIiI5A4ODjh27FiHgSNHjoh7m/4TpaWliI6Oxvjx4xEREQEAMBqNAIBevXqZ5ZVKpSRjNBphY2PTbm2lUinm2rId1RQEQVLzXvM/aM27axERERHJIyMj8cEHH2DmzJk4efIkysvLUV5ejhMnTuC3v/0tDh8%2BjEWLFv1Hk9y8eRNTpkxB3759sW/fPnEzeNvm%2BcbGRrNzGhoaJBmVSoWmpqZ26zc0NEg24qtUqg5rymQySc17zf%2BgNe%2BuRURERKR46623YDQasWnTJhw8eFBy0MrKCv/93/%2BNt99%2B%2BydPcPv2bQQGBuL27ds4c%2BaMZJ9X2%2BO19j5MWq/Xw9HRUXyLvFarRWtrKwwGg%2BQxYXNzM27dugVnZ2dJ3Y5qAhCzWq0WgiB0mP1xzZMnT9635r2UfZIOK6VaMubo4QPH4T73PZeIiIg6tnv3buzevVsyVl1d3U2rARQymQy///3vsXz5chw7dkz8C8FBgwbB39%2B/3X1HD6qxsRFTp07F9evXcfz4cfzyl7%2BUHHd2dka/fv1QWFhodu7nn38u%2BZBpT09PCIKAwsJCBAYGiuMXLlyAyWQyy545c8asZkFBAXr37g13d3cAwIgRI6BQKFBYWIiQkBAx19zcjJKSEsyaNUtSMyMjA6WlpZKN7gUFBZDJZA/0gdiu/ot6zGsaiIiIepKwsDCEhYVJxtpe09AdxDe59%2B/fH%2BHh4XjjjTfwxhtvYO7cuf9Rc2UymaDT6fDZZ58hJycH3t7e7eZmzpyJDz/8EBUVFeLY8ePHce3aNcnLO319feHo6Ii0tDTJ%2BWlpaVCr1ZgyZYo4FhISgps3b2L//v3imMFgQE5ODoKDg8W7Yn369IGfnx%2BysrIkb27PzMxEXV2dZP7p06dDoVAgNTVVMv/27dvh4uKCcePGPczlISIiokeYArjTDO3fvx8nTpzAd999h9WrV2PEiBG4ffs2Tp48iV/96lfo37//QxWOjY3FoUOHEBwcDIPBgF27dkmOv/jiiwDuvB09JycHPj4%2BiImJQU1NDZKSkjBy5EjMmzdPzCuVSqxduxbR0dHQ6XQICAjAqVOnkJ2djXXr1sHBwUHMhoSEICUlBfPnz8eVK1fg5OSE1NRUmEwmrFmzRrKOhIQEjB8/HhMnTkRkZCTKysqQnJyMgIAA%2BPv7izkXFxcsW7YMSUlJaGpqwtixY3HgwAGcPXsW2dnZHb5klIiIiB4/itu3b2Py5Mk4f/48VCoVGhoaxJdp9u7dG1FRUZg3bx4SEhIeqvD//d//QSaT4dChQzh06JDZ8bYG64knnsCnn36K2NhYvP7667CxscHUqVORlJQk3mlqExUVBRsbG2zatAmHDh2Cq6srUlJSsGTJEklOLpfjyJEjiI%2BPx9atW2E0GuHt7Y3MzEy4ublJsqNGjUJ%2Bfj5WrlyJ2NhY2NnZYeHChVi3bp3ZmhMTE%2BHo6Ij09HTs3LkTbm5u2LVrl%2BRRIhEREZEsKipKyMzMxL59%2BzBmzBgMGDAA%2Bfn58PX1BQDExMTg1KlTfJHmf4AflUNERNT1uvWjcg4cOIAlS5Zg8uTJkMvlZgF3d3fcuHGjSxdFRERE1JPJ//3vf2Pw4MEdBlpaWsS3qRMRERHR/cmHDBlyz8d/%2Bfn5ePrpp7twSUREREQ9m3zBggV47733kJubKw7KZDI0Nzdj9erV%2BOijjxAZGdmNSyQiIiLqWRTLly/H5cuXERoaCo1GAwAIDw%2BHwWBAU1MTFixYgIULF3bzMomIiIh6DoVMJsOf//xn/O53v0NOTg6%2B/PJLmEwmDBkyBDqdTvxrQiIiIiJ6MIqPPvoITz75JHx8fODj49Pd6yEiIiLq8eQzZszA6dOnu3sdRERERI8M%2BdChQ1FVVdXd6yAiIiJ6ZMhfe%2B01vPvuu7h%2B/Xp3r4WIiIjokaAoLi5G37594eHhgeeffx6/%2BMUvoFKpJCGZTIZNmzZ10xKJiIiIehZFSkqK%2BM2xY8faDbHBIiIiInpwCn4MDhEREZFlKaysrLp7DURERESPFDkA3Lp1C1ZWVvjb3/7W3eshIiIi6vHkbf8hCEJ3roOIiIjokSG/f4SIiIiIHgYbLCIiIiILUxQVFaG6uhoA8OWXX8LBwaHd4OjRo7tyXUREREQ9lmLs2LHiN4sXLzYLCIIAmUyG1tbWrlwXERERUY%2BleO%2B997p7DURERESPFPnvfvc7PMi/n6Kurg6rV6/G5MmTodFoIJfLkZmZaZabP38%2B5HK52T8PD49262ZkZMDDwwMqlQru7u7Ytm1bu7nq6mpERkaif//%2BsLW1ha%2BvL4qLi9vNnjt3DhMmTIBarYZWq0VMTAzq6urMcoIgYMOGDRg8eDBUKhVGjhyJPXv2PMRVISIiokedojOLGwwGrF27FoMGDYKnpydOnjzZYVapVCIjI0Pyugh7e3uzXHp6OqKiohAaGoq4uDicPn0aS5cuhdFoRHx8vJgTBAFBQUG4fPkyVqxYAY1Gg9TUVPj4%2BKCoqAhDhgwRsyUlJfDz84OHhwc2b96M8vJybNy4EdevX8fhw4cl869atQqJiYlYtGgRxowZg7y8PMyZMwdyuRw6ne4/uFpERET0qOjUBsvZ2Rnffvst%2Bvfvj4sXL%2BLu/V5mC1EoEBYWds96DQ0NePPNNzFt2jT89a9/BQAsWLAAra2tWLt2LSIjI8WmbN%2B%2BfTh//jxyc3MxY8YMAEBoaCjc3d2xevVqZGVliXVXrVoFR0dHfPrpp1Cr1QCAQYMGITIyEvn5%2BfDz8wMAVFZWIjk5GUuWLMGWLVvE%2BSdNmoT4%2BHiEhoZCJpP9xKtFREREj4pOfU2DtbU1%2Bvfv/8B5k8mEmpqaDo%2BfOHECVVVVZpvxX331VdTW1kruNuXm5mLgwIFicwUATk5O0Ol0yMvLQ9tnMNbU1CA/Px/h4eFicwUAERERUKvV2Lt3rzh28OBBtLS0ICoqSjJ/VFQUysvLcf78%2BQf%2BWYmIiOjR9bN5D1Z9fT369OkDe3t7aDQaREdHm%2B2Bats/5eXlJRn38vKCXC6X7K8qLi5u99US3t7eqK%2Bvx7Vr1wAAly9fRktLi1lNa2treHp6SmqWlJRArVZj2LBhZjUFQehwfxcRERE9Xn4WDZazszNWrFiBv/zlL9izZw%2BmT5%2BO1NRUTJ48GSaTSczp9XpYWVnByclJcr61tTU0Gg0qKyslWa1WazZX21hbVq/XQyaTdZj9cc0BAwbctyYRERE93jp1D9aDSkhIkHyv0%2Bng5uaGN998Ezk5OeLmcaPRCBsbm3ZrKJVKGI1G8Xuj0YhevXq1mxMEQcy2fe0o%2B6A1765FREREj7efxR2s9ixfvhwymQz5%2BfnimEqlQlNTU7v5hoYGqFQqSbaxsbHdnEwmE7NtXzvKPmjNu2sRERHR4%2B1ncQerPUqlEhqNBlVVVeKYVqtFa2srDAaD5DFhc3Mzbt26BWdnZ0lWr9eb1W0ba8tqtVoIgtBh9sc123vVxI9rdqTsk3RYKdWSMUcPHzgO97nneURERHRvu3fvxu7duyVjbR8F2B1%2Btg1WbW0tDAYD%2BvXrJ455enpCEAQUFhYiMDBQHL9w4QJMJhM8PT0l2TNnzpjVLSgoQO/eveHu7g4AGDFiBBQKBQoLCxESEiLmmpubUVJSglmzZklqZmRkoLS0VLLRvaCgADKZTDJ/e1z9F6H3wKEPcRWIiIjoQYSFhZm97qmoqMjsj9i6Src/ImxsbERtba3Z%2BDvvvAMAmDx5sjjm6%2BsLR0dHpKWlSbJpaWlQq9WYMmWKOBYSEoKbN29i//794pjBYEBOTg6Cg4NhbW0NAOjTpw/8/PyQlZUl%2BavFzMxM1NXVSV4eOn36dCgUCqSmpkrm3759O1xcXDBu3LifcgmIiIjoEdPpd7Deffdd/PDDD6ioqAAAfPDBBygrKwMALF26FFVVVRg1ahTCwsLEu0JHjx7FkSNHEBQUhODgYLGWUqnE2rVrER0dDZ1Oh4CAAJw6dQrZ2dlYt24dHBwcxGxISAhSUlIwf/58XLlyBU5OTkhNTYXJZMKaNWska0xISMD48eMxceJEREZGoqysDMnJyQgICIC/v7%2BYc3FxwbJly5CUlISmpiaMHTsWBw4cwNmzZ5Gdnc2XjBIRERGALmiwkpKS8M033wAAZDIZDhw4gAMHDgAAwsPD4eDggGnTpiE/Px%2BZmZlobW3F0KFDsX79esTFxZnVi4qKgo2NDTZt2oRDhw7B1dUVKSkpWLJkiSQnl8tx5MgRxMfHY%2BvWrTAajfD29kZmZibc3Nwk2VGjRiE/Px8rV65EbGws7OzssHDhQqxbt85s/sTERDg6OiI9PR07d%2B6Em5sbdu3aJXmUSERERI83mXD3h/9Rp2h7Bvz0S1t7zB6sS8kzsT5hLWJjY7t7KURERD9J2%2B/fixcvtvvy8c7U7XuwiIiIiB41bLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwjq1waqrq8Pq1asxefJkaDQayOVyZGZmtpstLS1FYGAg7OzsoNFoEBERAYPB0G42IyMDHh4eUKlUcHd3x7Zt29rNVVdXIzIyEv3794etrS18fX1RXFzcbvbcuXOYMGEC1Go1tFotYmJiUFdXZ5YThP/Xzt1HRVXnfwB/3ysDgwxow4MMZj6klKY2irKJZRyCRfOx5CHcxHyADqbYYY%2BSbmVHBE1RKVnw8WQezCgfNstqj7hlW2GISj%2B1DG1X4mkx1BR0gAG%2Bvz/2cNdpBh/qjoPM%2B3XOnCPf%2B5nP/X4/Z86dj/feuQKrVq1Cv3794O7ujocffhjvvvvuLVaEiIiInIFdG6za2lqkpaXh9OnTMBqNkCTJZlxlZSUee%2Bwx/Otf/8LKlSuxcOFC7N%2B/H3/84x/R3NxsEbtx40YkJCRgyJAhyM7ORkhICJKTk7F69WqLOCEEnnzySbz77rvK9p9//hmhoaH48ccfLWJLSkoQHh6OhoYGrFu3DgkJCdi0aRNiYmKs5rpkyRK89NJLiOOX9hMAABvXSURBVIyMRHZ2Nnr37o1p06bhvffe%2B53VIiIios7CxZ7JAwIC8J///Ad%2Bfn44evQoRo4caTMuPT0dJpMJJSUl6NmzJwBg5MiRiIiIwLZt2zBnzhwAQENDA15%2B%2BWVMnDgR%2Bfn5AIDZs2ejpaUFaWlpSExMRLdu3QAA77//PgoLC7F792489dRTAIDo6GgEBgZi6dKlyMvLU/a/ZMkS6PV6HDp0CB4eHgCA3r17IzExEQUFBQgPDwcAVFVVYe3atZg/fz7eeOMNZf%2BPP/44Fi5ciOjo6HabSCIiInIedj2DpdFo4Ofnd9O4PXv2YMKECUpzBQBPPPEEAgMDLc4MffbZZ7h48SLmzp1r8f4XXngB9fX12L9/vzK2e/du%2BPv7K80VAPj4%2BCAmJgYffPABzGYzAKCurg4FBQWYPn260lwBQHx8PDw8PCz2/7e//Q3Nzc1ISkqy2H9SUhIqKipQWFh407USERFR5%2Bfwm9yrqqpw/vx5jBgxwmpbcHCwxT1Tbf8OCgqyiAsKCoIsy1axw4cPt5nz2rVrKC0tBQCcOHECzc3NVjk1Gg2MRqNFzpKSEnh4eODBBx%2B0yimEaPf%2BLiIiInIuDm%2BwqqurAQAGg8Fqm8FgwMWLF5WzTdXV1ejSpQt8fHws4jQaDby9vVFVVWWRt72cAJTY6upqSJLUbuyvc/bo0eOmOYmIiMi5ObzBMplMAAA3NzerbVqt1iLGZDLB1dXVZh6tVqvEtcW2l1MIYZHzRvu/1ZzX5yIiIiLn5vAGy93dHQDQ2Nhota2hocEixt3dHU1NTTbzNDQ0KHFtse3llCTJIueN9n%2BrOa/PRURERM7Nrr8ivBVtl9faLhVer7q6Gnq9HhqNRoltaWlBbW2txWVCs9mMCxcuICAgwCJvezkBKLEGgwFCiHZjf53z888/v2nO9pQf2IguWg%2BLMf2gUOgfCr3h%2B4iIiOjGdu7ciZ07d1qMXb582UGz6QANVkBAAHx9fVFcXGy1raioCEajUfnbaDRCCIHi4mKMHTtWGT9y5AhaW1utYr/88kurnIcPH0bXrl0RGBgIABg8eDBcXFxQXFyMqKgoJc5sNqOkpASxsbEWObdu3YrTp09b3Oh%2B%2BPBhSJJksX9bekU8j67%2B/W8YQ0RERLcvLi4OcXFxFmPHjh2z%2BhHbneLwS4QAMHXqVHz00UeorKxUxg4ePIjS0lKLh32GhYVBr9cjNzfX4v25ubnw8PDA%2BPHjlbGoqCjU1NRgz549ylhtbS127dqFSZMmKWfFvLy8EB4ejry8PIsnt2/fvh1Xr1612P/kyZPh4uKCnJwci/1v2LABPXv2REhIyO%2BsBBEREXUGdj%2BD9de//hW//PKL0jzt27cP5eXlAIDk5GR4enpiyZIl2LVrF0JDQ7FgwQLU1dUhMzMTDz/8MJ577jkll1arRVpaGubNm4eYmBhERkbiiy%2B%2BwDvvvIOMjAx0795diY2KikJWVhZmzpyJU6dOwcfHBzk5OWhtbcVrr71mMcf09HSMHj0aY8aMQWJiIsrLy7F27VpERkYiIiJCievZsydefPFFZGZmoqmpCSNHjsTevXvx1Vdf4Z133uFDRomIiAjAHWiwMjMz8dNPPwEAJEnC3r17sXfvXgDA9OnT4enpiXvvvReHDh1CSkoKFi9eDFdXV0yYMAGZmZnKmaY2SUlJcHV1xZo1a/Dhhx%2BiV69eyMrKwvz58y3iZFnGJ598goULF2L9%2BvUwmUwIDg7G9u3bMWDAAIvYYcOGoaCgAKmpqUhJSYGnpycSEhKQkZFhtZ7XX38der0eGzduxNtvv40BAwZgx44dFpcSiYiIyLlJQgjh6El0dm3XgAfOWn/X3IP1f2unYmV6GlJSUhw9FSIiot%2Bk7fv36NGjNh8%2Bbk8d4h4sIiIios6EDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamsQzRYhw4dgizLVq8uXbqgqKjIIvb06dMYO3YsPD094e3tjfj4eNTW1trMu3XrVgwaNAju7u4IDAxEdna2zbjLly8jMTERfn5%2B0Ol0CAsLw/Hjx23Gfv3113j00Ufh4eEBg8GABQsW4OrVq7%2BvAERERNSpuDh6Atd78cUXMWLECIux/v37K/%2BurKzEY489hnvuuQcrV65EXV0dVq9ejZMnT6KoqAguLv9bzsaNG5GUlITo6Gj8%2Bc9/xj//%2BU8kJyfDZDJh4cKFSpwQAk8%2B%2BSROnDiBRYsWwdvbGzk5OQgNDcWxY8dw//33K7ElJSUIDw/HoEGDsG7dOlRUVGD16tU4e/Ys9u/fb8fKEBER0d2kQzVYjz76KJ5%2B%2Bul2t6enp8NkMqGkpAQ9e/YEAIwcORIRERHYtm0b5syZAwBoaGjAyy%2B/jIkTJyI/Px8AMHv2bLS0tCAtLQ2JiYno1q0bAOD9999HYWEhdu/ejaeeegoAEB0djcDAQCxduhR5eXnK/pcsWQK9Xo9Dhw7Bw8MDANC7d28kJiaioKAA4eHh6heFiIiI7jod4hLh9err69HS0mJz2549ezBhwgSluQKAJ554AoGBgXjvvfeUsc8%2B%2BwwXL17E3LlzLd7/wgsvoL6%2B3uJs0%2B7du%2BHv7680VwDg4%2BODmJgYfPDBBzCbzQCAuro6FBQUYPr06UpzBQDx8fHw8PCw2D8RERE5tw7VYM2cORNeXl7QarUICwvD0aNHlW1VVVU4f/681SVEAAgODra4Z6rt30FBQRZxQUFBkGXZKnb48OE2c167dg2lpaUAgBMnTqC5udkqp0ajgdFobPeeLSIiInI%2BHaLBcnV1RVRUFN544w3s27cP6enpOHnyJMaMGYNvv/0WAFBdXQ0AMBgMVu83GAy4ePGicrapuroaXbp0gY%2BPj0WcRqOBt7c3qqqqlLHq6up2cwJQYqurqyFJUrux1%2BckIiIi59Yh7sEaNWoURo0apfw9YcIETJ06FUOHDsXixYvx8ccfw2QyAQDc3Nys3q/VagEAJpMJGo0GJpMJrq6uNvel1WqVXG3vaS%2BnEEKJvdn%2Br89JREREzq1DnMGy5f7778fkyZPx2WefQQgBd3d3AEBjY6NVbENDAwAoMe7u7mhqarKZt6GhQYlri20vpyRJFjlvtP/rcxIREZFz6xBnsNrTq1cvNDU14erVq8qlubZLhderrq6GXq%2BHRqMB8N9Ldi0tLaitrbW4TGg2m3HhwgUEBAQoYwaDod2cAJRYg8EAIUS7sdfnbE/5gY3oovWwGNMPCoX%2BodCbvpeIiIjat3PnTuzcudNi7PLlyw6aTQdvsH788UdotVrodDrodDr4%2BvqiuLjYKq6oqAhGo1H522g0QgiB4uJijB07Vhk/cuQIWltbrWK//PJLq5yHDx9G165dERgYCAAYPHgwXFxcUFxcjKioKCXObDajpKQEsbGxN11Pr4jn0dW//03jiIiI6PbExcUhLi7OYuzYsWNWP067UzrEJUJbT2L/9ttv8eGHHyIyMlIZmzp1Kj766CNUVlYqYwcPHkRpaSliYmKUsbCwMOj1euTm5lrkzM3NhYeHB8aPH6%2BMRUVFoaamBnv27LGYz65duzBp0iTlrJiXlxfCw8ORl5dn8eT27du34%2BrVqxb7JyIiIufWIc5gxcbGwt3dHSEhIfDz88OpU6ewefNm6HQ6rFixQolbsmQJdu3ahdDQUCxYsAB1dXXIzMzEww8/jOeee06J02q1SEtLw7x58xATE4PIyEh88cUXeOedd5CRkYHu3bsrsVFRUcjKysLMmTNx6tQp%2BPj4ICcnB62trXjttdcs5pmeno7Ro0djzJgxSExMRHl5OdauXYvIyEhERETYu0xERER0l%2BgQDdZTTz2FHTt2YN26dbhy5Qp8fX0RFRWFV199Ff369VPi7r33Xhw6dAgpKSlYvHgxXF1dMWHCBGRmZipnmtokJSXB1dUVa9aswYcffohevXohKysL8%2BfPt4iTZRmffPIJFi5ciPXr18NkMiE4OBjbt2/HgAEDLGKHDRuGgoICpKamIiUlBZ6enkhISEBGRob9ikNERER3HUkIIRw9ic6u7RrwwFnr75p7sP5v7VSsTE9DSkqKo6dCRET0m7R9/x49etTmQ8XtqUPcg0VERETUmbDBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZG6zb1NTUhNTUVPTs2RNdu3bFI488goKCAkdPi4iIiDoQNli3acaMGcjKysL06dPx5ptvwsXFBU8%2B%2BSS%2B/vprR0%2BNiIiIOgg2WLehqKgI%2Bfn5WLlyJVauXIk5c%2Bbg4MGD6N27NxYtWuTo6d11du7c6egpdCishzXWxBLrYY01scR6dBxssG7Drl274OLigoSEBGXMzc0Ns2fPRmFhISorKx04u7sPDwSWWA9rrIkl1sMaa2KJ9eg42GDdhpKSEgQGBkKn01mMBwcHK9uJiIiI2GDdhurqahgMBqtxg8EAIQSqqqocMCsiIiLqaNhg3QaTyQQ3Nzerca1Wq2wnIiIicnH0BO4m7u7uaGxstBpvaGhQttvS1nid25%2BFLq62Yzoac2MDfvjhB%2BzYscNu%2B6ioqFA9vyzLaG1tVTWnPV0/X3vUwx7uZI3Vqsnd9rkAbM%2B5I39GHFXj31OTzvK5uF5H/Iz4%2BPjA19fXIfv%2B/vvvATjoBIigWxYRESEeeughq/GDBw8KSZLERx99ZPN9eXl5AgBffPHFF1988eWAV15enr1bBCs8g3UbjEYjPv/8c9TX11vc6H748GFIkgSj0WjzfZGRkcjLy0OfPn3aPctFRERE6jKZTDh37hwiIyPv%2BL4lIYS443u9SxUVFeGRRx5BZmYmUlJSAPz3ye6DBw%2BGr68vvvrqKwfPkIiIiDoCnsG6DcHBwYiOjsbixYtRU1OD/v37Y9u2bSgrK8Nbb73l6OkRERFRB8EzWLepqakJr7zyCvLy8nDp0iUMHToUy5cvR3h4uKOnRkRERB0EGywiIiIilfE5WEREREQqY4NlR01NTUhNTUXPnj3RtWtXPPLIIygoKHD0tFRVXFyMefPmYfDgwdDpdOjduzdiY2Nx5swZq9jTp09j7Nix8PT0hLe3N%2BLj41FbW2sz79atWzFo0CC4u7sjMDAQ2dnZ9l6K3aSnp0OWZQwdOtRqmzPV5NixY5g0aRK8vb3h4eGBIUOGWK3BWepx9uxZPPPMM%2BjVqxc8PDwwcOBApKWlWT2rpzPW4%2BrVq1i6dCnGjRsHb29vyLKM7du324y1x/ovX76MxMRE%2BPn5QafTISwsDMePH1dtfb/FrdRECIFt27Zh8uTJuO%2B%2B%2B6DT6TBkyBCkp6fbfD4j0Plr8mvNzc0YNGgQZFnG2rVrbcbc0Zrc8QdDOJFnnnlGuLq6itTUVLF582YxevRoodFoxFdffeXoqakmKipKBAQEiAULFoitW7eK9PR04e/vL3Q6nTh16pQSV1FRIXx8fMSAAQNEdna2WLFihdDr9WLYsGHCbDZb5NywYYOQJEnExMSILVu2iBkzZghJksSqVavu9PJ%2Bt4qKCuHh4SE8PT3FkCFDrLY5S03%2B/ve/Czc3NzFq1CiRlZUltmzZIhYvXixSU1OVGGepR3l5uejevbvo27eveP3118XmzZvFrFmzhCRJYsqUKUpcZ63HuXPnhCRJok%2BfPiIsLEzIsizefvttqzh7rL%2B1tVWEhIQIT09PkZaWJnJycsTgwYOFl5eXOHv2rF3XfSO3UpP6%2BnohSZIICQkRGRkZYsuWLWL27NmiS5cuIiwszCqnM9Tk19asWSN0Op2QZVmsWbPGavudrgkbLDv55ptvhCRJYu3atcpYQ0OD6N%2B/vxg9erQDZ6auwsJCq4PdmTNnhFarFdOnT1fGkpKShIeHh6ioqFDGCgoKhCRJYvPmzcqYyWQSPj4%2BYtKkSRY5n332WeHp6Sl%2B%2BeUXO63EPmJjY0V4eLgIDQ21arCcpSZXrlwR/v7%2BIioq6oZxzlKP9PR0Icuy%2BP777y3GZ8yYIWRZVubfWevR1NQkampqhBBCFBcXC0mSbH5x2mP9%2Bfn5QpIksWfPHmXs559/Fvfcc4/405/%2BpNoab9et1KSpqUkUFhZavXfZsmVClmVx8OBBZcxZanK9mpoa0b17d7F8%2BXIhSZJVg%2BWImrDBspOFCxcKjUYj6urqLMZXrFghZFm2OGh0RkFBQWLEiBHK3z169BCxsbFWcQ888ICIiIhQ/v7444%2BFLMvi008/tYgrLCwUkiSJHTt22G/SKjt06JDQaDTi5MmTNhssZ6lJbm6ukGVZ/PDDD0IIIa5evSpaW1ut4pylHi%2B99JKQZVlcuHDBYjw1NVW4uLiIa9euCSGcox43%2BuK0x/pjYmKEwWCwyvn8888LnU4nmpqafs9yVHErzcT1Tpw4ISRJEtnZ2cqYM9Zk5syZYtSoUeLf//63zQbLETXhPVh2UlJSgsDAQIsnvgP/fZZW2/bOrKamBj4%2BPgCAqqoqnD9/HiNGjLCKCw4Otriu3fbvoKAgi7igoCDIsuzw%2BwJuVWtrK5KTk5GQkICHHnrIarsz1eTgwYPw8vJCeXk5HnzwQeh0Onh5eWHu3LnKvSPOVI/Q0FAIITBr1ix8%2B%2B23qKioQH5%2BPjZs2IAFCxbA3d3dqephi73Wf/z4cQwfPtxmzmvXrqG0tFStJdwx1dXVAKAcbwHnq0lRURG2b9%2BOrKwsSJJkM8YRNWGDZSfV1dUwGAxW4waDAUIIVFVVOWBWd0ZeXh4qKyvxzDPPAPjfAaC9ely8eBFms1mJ7dKli8XBAgA0Gg28vb3vmrrl5ubip59%2BQlpams3tzlSTM2fOwGw2Y/LkyRg3bhz27NmD2bNnY8OGDZg1axYA56pHZGQk0tLScODAAQwbNgz33Xcfpk2bhuTkZGRmZgJwrnrYYq/13%2Bi4DOCurNWqVavQrVs3jBs3ThlztprMnz8fcXFxygkMWxxREz7J3U5MJhPc3NysxrVarbK9Mzp9%2BjTmzZuH0aNHIz4%2BHsD/1nqzemg0GphMJri6utrMrdVq74q6Xbx4EUuXLsWrr74KvV5vM8aZalJfXw%2BTyYSkpCSsW7cOADBlyhQ0NjZi06ZNWLZsmVPVAwD69OmDxx9/HFFRUdDr9di/fz/S09Ph7%2B%2BPuXPnOl09fs1e67/RcVkIcdfVKiMjA//4xz%2BQm5sLLy8vZdyZavLWW2/h1KlT2Lt37w3jHFETNlh24u7ubvOnsw0NDcr2zqampgbjx4/HPffcg/fff185Vdu21luph7u7O5qammzmb2houCvq9pe//AXe3t6YN29euzHOVJO2%2BbWd0Wwzbdo0bNy4EYWFhRg4cCAA56jHu%2B%2B%2Bi8TERJw9e1b5H/GUKVPQ0tKC1NRUxMXFOdXnwxZ7rf9Gx2VJku6qWuXn5%2BOVV17BnDlzkJiYaLHNWWpSV1eHJUuWYNGiRQgICLhhrCNqwkuEdmIwGJTT3NdrG7vZh%2BFuc%2BXKFYwdOxZXrlzBp59%2BCn9/f2Vb25dIe/XQ6/XQaDRKbEtLi9WzbsxmMy5cuNDh63b27Fls3rwZycnJqKysRFlZGc6dO4eGhgaYzWaUlZXh0qVLTlWTtvn16NHDYtzPzw8AnK4eubm5GD58uNUliEmTJuHatWs4fvy4U9XDFnutv7Mclw8cOIAZM2Zg4sSJyM3NtdruLDVZvXo1zGYzYmJiUFZWhrKyMpSXlwP473GlrKxMuZTsiJqwwbITo9GI0tJS1NfXW4wfPnwYkiTBaDQ6aGbqa2xsxIQJE3D27Fns378fDzzwgMX2gIAA%2BPr6ori42Oq9RUVFFrUwGo0QQljFHjlyBK2trR2%2BbpWVlRBCIDk5GX379kXfvn3Rr18/fPPNN/jhhx/Qr18/pKWlOVVN2m4qraystBhvu4/Bz8/PqepRU1ODlpYWq3Gz2QwhBJqbm52qHrbYa/1GoxHHjh2zynn48GF07doVgYGBKq7CPr755hs8/fTTCA4ORn5%2BPmTZ%2BmvcWWpSXl6OS5cuYdCgQcrxdsyYMZAkCenp6ejXrx%2B%2B//57AA6qyS391pBuW9tzsK7/qWhjY6MYMGCACAkJceDM1NXS0iImTZokXF1drX7%2Ber0bPdNm06ZNypjJZBLe3t42n1Wi0%2BnEpUuX1F%2BEimpra8UHH3xg9Ro8eLDo06eP2Ldvnzh58qQQwnlqcvz4cSFJknj22WctxuPi4oSrq6uorq4WQjhPPSZOnCi0Wq04c%2BaMxfiUKVOEi4uLU9Xjtz4H67euPz8/X8iyLHbv3q2MtT3faNq0aWou7Te7UU2%2B%2B%2B474ePjI4YOHXrD55s5S02OHz9udazdvHmzkCRJzJo1S%2Bzbt09cuXJFCOGYmrDBsqOYmBjh6uoqFi1aJDZt2iRCQkKEq6ur%2BPLLLx09NdUsWLBASJIkJk%2BeLPLy8qxebcrLy4Wvr6/o37%2B/WL9%2BvcjIyBB6vV4YjUarZ4rk5OQIWZZFdHS02LJli4iPjxeyLIuVK1fe6eWpxtZzsJypJrNnzxayLIvY2FiRk5MjoqOjhSzL4uWXX1ZinKUeX3zxhdBoNKJHjx7KU6LHjRsnZFkWzz//vBLXmeuRnZ0tli9fLpKSkoQkSWLq1Kli%2BfLlYvny5coXoj3W39LSIkaNGiW8vLzEsmXLlCd0d%2BvWTZSWlt6x9dtys5rU1dWJXr16CRcXF7Fq1SqrY%2B2vH0LqDDWxpe0J8Lae5H6na8IGy44aGxvFokWLREBAgHB3dxd/%2BMMfxIEDBxw9LVWFhoYKWZbbfV3vu%2B%2B%2BE2PHjhU6nU7o9XoRHx8vzp8/bzPvli1bxMCBA4VWqxUDBgwQb7755p1Yjt2EhoaKoUOHWo07S02am5vFsmXLRN%2B%2BfYWbm5sIDAy0OX9nqceRI0fE%2BPHjRUBAgHBzcxMPPvigWLlypWhpabGI66z16NOnT7vHjLKyMiXOHuv/5ZdfREJCgvD19RU6nU6EhYWJY8eO2WWdt%2BNmNTl37twNj7UzZ860ytnZa2JLW51sNVhC3NmaSEII8duvgBIRERHRr/EmdyIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKV/T%2BoUuXXIj1AYQAAAABJRU5ErkJggg%3D%3D\"/>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common8506900693810133129\">\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.12</td>\n",
+       "        <td class=\"number\">31951</td>\n",
+       "        <td class=\"number\">7.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.23</td>\n",
+       "        <td class=\"number\">15390</td>\n",
+       "        <td class=\"number\">3.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.15</td>\n",
+       "        <td class=\"number\">14680</td>\n",
+       "        <td class=\"number\">3.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.11</td>\n",
+       "        <td class=\"number\">14164</td>\n",
+       "        <td class=\"number\">3.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.13</td>\n",
+       "        <td class=\"number\">13612</td>\n",
+       "        <td class=\"number\">3.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.14</td>\n",
+       "        <td class=\"number\">11532</td>\n",
+       "        <td class=\"number\">2.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.25</td>\n",
+       "        <td class=\"number\">10769</td>\n",
+       "        <td class=\"number\">2.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.26</td>\n",
+       "        <td class=\"number\">9697</td>\n",
+       "        <td class=\"number\">2.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.24</td>\n",
+       "        <td class=\"number\">9461</td>\n",
+       "        <td class=\"number\">2.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.22</td>\n",
+       "        <td class=\"number\">8848</td>\n",
+       "        <td class=\"number\">2.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (3546)</td>\n",
+       "        <td class=\"number\">287658</td>\n",
+       "        <td class=\"number\">67.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme8506900693810133129\">\n",
+       "            <p class=\"h4\">Minimum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">3194</td>\n",
+       "        <td class=\"number\">0.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:63%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.01</td>\n",
+       "        <td class=\"number\">516</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.02</td>\n",
+       "        <td class=\"number\">1531</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.03</td>\n",
+       "        <td class=\"number\">3377</td>\n",
+       "        <td class=\"number\">0.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:67%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.04</td>\n",
+       "        <td class=\"number\">5036</td>\n",
+       "        <td class=\"number\">1.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "            <p class=\"h4\">Maximum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">615.65</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">624.89</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">627.26</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1299.75</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1305.22</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>AGPRE_ENRD</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>AGPRE_EXPD</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">AG_PRESERV<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>2</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2069961741249893842\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>N</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 99.9%\">\n",
+       "            427518\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Y</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        244\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2069961741249893842, #minifreqtable2069961741249893842\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2069961741249893842\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">N</td>\n",
+       "        <td class=\"number\">427518</td>\n",
+       "        <td class=\"number\">99.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Y</td>\n",
+       "        <td class=\"number\">244</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">BASEMENT<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>3</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>74.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>316342</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-2379317844936297392\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Y</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:32%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 23.9%\">\n",
+       "            102226\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>N</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 2.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        9194\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 74.0%\">\n",
+       "            316342\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-2379317844936297392, #minifreqtable-2379317844936297392\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-2379317844936297392\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Y</td>\n",
+       "        <td class=\"number\">102226</td>\n",
+       "        <td class=\"number\">23.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:32%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">N</td>\n",
+       "        <td class=\"number\">9194</td>\n",
+       "        <td class=\"number\">2.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">316342</td>\n",
+       "        <td class=\"number\">74.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">BLDG_NUM<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>21678</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>5.1%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-2005599692850280209\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>40</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1420\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>61</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1365\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>34</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1208\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (21675)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 99.1%\">\n",
+       "            423769\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-2005599692850280209, #minifreqtable-2005599692850280209\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-2005599692850280209\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">40</td>\n",
+       "        <td class=\"number\">1420</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">61</td>\n",
+       "        <td class=\"number\">1365</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">34</td>\n",
+       "        <td class=\"number\">1208</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">76</td>\n",
+       "        <td class=\"number\">1059</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">200</td>\n",
+       "        <td class=\"number\">1056</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">401</td>\n",
+       "        <td class=\"number\">1037</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">48</td>\n",
+       "        <td class=\"number\">883</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">24</td>\n",
+       "        <td class=\"number\">733</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">38</td>\n",
+       "        <td class=\"number\">730</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">121</td>\n",
+       "        <td class=\"number\">689</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (21668)</td>\n",
+       "        <td class=\"number\">417582</td>\n",
+       "        <td class=\"number\">97.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">BLOCK<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>218</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.1%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>28.6%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>122493</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-127071441036751440\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>001</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:77%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 22.1%\">\n",
+       "            94328\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>002</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:51%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 14.5%\">\n",
+       "            62154\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>003</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:31%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 8.9%\">\n",
+       "            38189\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (214)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:90%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 25.9%\">\n",
+       "            110598\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 28.6%\">\n",
+       "            122493\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-127071441036751440, #minifreqtable-127071441036751440\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-127071441036751440\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">001</td>\n",
+       "        <td class=\"number\">94328</td>\n",
+       "        <td class=\"number\">22.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:77%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">002</td>\n",
+       "        <td class=\"number\">62154</td>\n",
+       "        <td class=\"number\">14.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:51%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">003</td>\n",
+       "        <td class=\"number\">38189</td>\n",
+       "        <td class=\"number\">8.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">004</td>\n",
+       "        <td class=\"number\">25942</td>\n",
+       "        <td class=\"number\">6.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">005</td>\n",
+       "        <td class=\"number\">16604</td>\n",
+       "        <td class=\"number\">3.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">006</td>\n",
+       "        <td class=\"number\">12875</td>\n",
+       "        <td class=\"number\">3.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">007</td>\n",
+       "        <td class=\"number\">9356</td>\n",
+       "        <td class=\"number\">2.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:8%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">008</td>\n",
+       "        <td class=\"number\">7650</td>\n",
+       "        <td class=\"number\">1.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">009</td>\n",
+       "        <td class=\"number\">4984</td>\n",
+       "        <td class=\"number\">1.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">010</td>\n",
+       "        <td class=\"number\">4319</td>\n",
+       "        <td class=\"number\">1.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (207)</td>\n",
+       "        <td class=\"number\">28868</td>\n",
+       "        <td class=\"number\">6.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">122493</td>\n",
+       "        <td class=\"number\">28.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">CITY<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>47</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-4320576394636376111\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>MINNEAPOLIS</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:54%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 30.4%\">\n",
+       "            129889\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>BLOOMINGTON</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:13%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 7.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        31217\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>PLYMOUTH</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:12%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 6.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        26820\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (44)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 56.1%\">\n",
+       "            239836\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-4320576394636376111, #minifreqtable-4320576394636376111\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-4320576394636376111\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MINNEAPOLIS</td>\n",
+       "        <td class=\"number\">129889</td>\n",
+       "        <td class=\"number\">30.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">BLOOMINGTON</td>\n",
+       "        <td class=\"number\">31217</td>\n",
+       "        <td class=\"number\">7.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PLYMOUTH</td>\n",
+       "        <td class=\"number\">26820</td>\n",
+       "        <td class=\"number\">6.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MAPLE GROVE</td>\n",
+       "        <td class=\"number\">25690</td>\n",
+       "        <td class=\"number\">6.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">BROOKLYN PARK</td>\n",
+       "        <td class=\"number\">24226</td>\n",
+       "        <td class=\"number\">5.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">EDEN PRAIRIE</td>\n",
+       "        <td class=\"number\">22646</td>\n",
+       "        <td class=\"number\">5.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">EDINA</td>\n",
+       "        <td class=\"number\">21352</td>\n",
+       "        <td class=\"number\">5.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MINNETONKA</td>\n",
+       "        <td class=\"number\">20704</td>\n",
+       "        <td class=\"number\">4.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">ST. LOUIS PARK</td>\n",
+       "        <td class=\"number\">17702</td>\n",
+       "        <td class=\"number\">4.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">RICHFIELD</td>\n",
+       "        <td class=\"number\">11918</td>\n",
+       "        <td class=\"number\">2.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (37)</td>\n",
+       "        <td class=\"number\">95598</td>\n",
+       "        <td class=\"number\">22.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:73%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">CITY_USPS<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>49</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>3.1%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>13287</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-995304339344312923\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>MINNEAPOLIS</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:56%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 30.2%\">\n",
+       "            129317\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>BLOOMINGTON</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 7.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        31073\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>PLYMOUTH</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:11%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 5.9%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        25320\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (45)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 53.5%\">\n",
+       "            228765\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-995304339344312923, #minifreqtable-995304339344312923\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-995304339344312923\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MINNEAPOLIS</td>\n",
+       "        <td class=\"number\">129317</td>\n",
+       "        <td class=\"number\">30.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">BLOOMINGTON</td>\n",
+       "        <td class=\"number\">31073</td>\n",
+       "        <td class=\"number\">7.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PLYMOUTH</td>\n",
+       "        <td class=\"number\">25320</td>\n",
+       "        <td class=\"number\">5.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MAPLE GROVE</td>\n",
+       "        <td class=\"number\">24635</td>\n",
+       "        <td class=\"number\">5.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">BROOKLYN PARK</td>\n",
+       "        <td class=\"number\">23321</td>\n",
+       "        <td class=\"number\">5.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">EDEN PRAIRIE</td>\n",
+       "        <td class=\"number\">21220</td>\n",
+       "        <td class=\"number\">5.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">EDINA</td>\n",
+       "        <td class=\"number\">20752</td>\n",
+       "        <td class=\"number\">4.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">ST. LOUIS PARK</td>\n",
+       "        <td class=\"number\">17639</td>\n",
+       "        <td class=\"number\">4.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MINNETONKA</td>\n",
+       "        <td class=\"number\">17634</td>\n",
+       "        <td class=\"number\">4.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">RICHFIELD</td>\n",
+       "        <td class=\"number\">11863</td>\n",
+       "        <td class=\"number\">2.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (38)</td>\n",
+       "        <td class=\"number\">91701</td>\n",
+       "        <td class=\"number\">21.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:71%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">13287</td>\n",
+       "        <td class=\"number\">3.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">COOLING<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>5</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>63.2%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>270248</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2650201944640825217\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Forced Air</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:48%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 30.1%\">\n",
+       "            128846\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>N</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:9%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 5.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        24134\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Unknown</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 1.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        4320\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 63.2%\">\n",
+       "            270248\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2650201944640825217, #minifreqtable2650201944640825217\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2650201944640825217\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Forced Air</td>\n",
+       "        <td class=\"number\">128846</td>\n",
+       "        <td class=\"number\">30.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:48%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">N</td>\n",
+       "        <td class=\"number\">24134</td>\n",
+       "        <td class=\"number\">5.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Unknown</td>\n",
+       "        <td class=\"number\">4320</td>\n",
+       "        <td class=\"number\">1.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Y</td>\n",
+       "        <td class=\"number\">214</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">270248</td>\n",
+       "        <td class=\"number\">63.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>COUNTY_ID</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td>053</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>DWELL_TYPE</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">EMV_BLDG<br/>\n",
+       "            <small>Numeric</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>12417</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>2.9%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "\n",
+       "                <tr>\n",
+       "                    <th>Mean</th>\n",
+       "                    <td>186280</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>552460000</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"alert\">\n",
+       "                    <th>Zeros (%)</th>\n",
+       "                    <td>8.4%</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-6326444397189143252\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABNRJREFUeJzt3E1IG2kcx/HfTIwY1tSoUZpDQqxbS9FFEWoPoSp4kEIOvQliVRBfLtKDYEVYRaQXDwXxYk9StZelojf14s2LfbkUGgktiZHSaqKIr0vQPnvpurh0/zVrfcbA7wO5DDN5/oH5mkwSA2WB6elpBYA33lK6TU9Paz9XM2ABv98PAOjt7YXX6z33cVVVVcjIsGRkslAoFEJTU9PpeaOTJWebw%2BEAAIyMjKR03MDAAIaGhi5jJEoDf583Oln65/jXhmE4Cv3n2jfyx%2B%2BIx%2BOXOxDRv1gaiP0XFzKd7nPta9r40or0M60egOgqYyBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkyLBi0aOjIwBAeLIHhnm%2BRo%2BTf%2BLLl9/w4sWLlNYyTRNfv369csdc1bl0HuN2u1FQUPDD/UKhEIB/zhudLAkkGo0CAE6OkykdNzs7i9nZ2UuYiNJBNBpFIBDQuqahlFJaVwSQSCSwuLgIv98Ph8Ohe3lKM0dHR4hGo6ivr4fb7da6tiWBEKULXqQTCRgIkUB7IB8%2BfEAgEMCtW7dw9%2B7d03coiL4nmUyiu7sbJSUlKC8vR3Nzs9b1tb%2BL1dnZia6uLjx8%2BBAzMzNoaWnBysqK7jEoTTx%2B/BimaSIcDgMANjc3ta6v9SI9Ho/j5s2b2N7ehvnt8w%2BPx4Pl5WXcuHFD1xiUJg4PD%2BHxePDp0ydkZ2dbMoPWl1jr6%2BvweDyncQCAz%2BdDLBbTOQaliY8fPyIvLw9PnjzBnTt3UFNTg6WlJa0z8CKdrqzj42Osra2hrKwMr169wujoKBoaGhCPx7XNoDUQr9eLz58/n/lKQiwWg8/n0zkGpQmfzwebzYbGxkYAQEVFBYqKivDu3TttM2gNpKCgAJWVlZiamgIAvHz5El6vl9cf9F35%2Bfmoq6vDwsICACASiSAajeL27dvaZtD%2BSXo4HEZrayu2traQk5ODiYkJlJaW6hyB0kgkEkFbWxsSiQRsNhsGBwfx4MEDbevzqyZEAl6kEwkYCJGAgRAJGAiRgIEQCRgIkYCBUEoODg4wODiI%2B/fvIz8/H6ZpYnJy8kL3%2BebNGwSDQXg8HjidTpSXl2NsbCzlH4G4DAyEUpJIJDA8PIzV1VVUVFTAMIwL3d/bt28RCAQQi8XQ19eHp0%2Bfori4GI8ePUJPT89PmvoCFFEKksmk2tjYUEop9fr1a2UYhnr%2B/Pn/vr/29naVlZWldnZ2zmyvqalRLpfrQrP%2BDHwGoZTY7XYUFhaea9/5%2BXlUV1cjOzsb165dQzAYxPv378/ss7e3h6ysLOTk5JzZfv369SvxizcMhC7F1NQUgsEgnE4nRkZGMDAwgFAohHv37p35/5/a2lrs7u6io6MDq6uriMViGB8fx9zcHPr7%2By18BN9Y/RRG6eu/XmLt7%2B%2Br3Nxc1dXVdWb75uamcrlcqrOz83TbycmJ6u7uVpmZmcowDGUYhrLb7erZs2daHsOP/AVPq6wNX4cSogAAAABJRU5ErkJggg%3D%3D\">\n",
+       "\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-6326444397189143252,#minihistogram-6326444397189143252\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives-6326444397189143252\">\n",
+       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
+       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-6326444397189143252\"\n",
+       "                                                  aria-controls=\"quantiles-6326444397189143252\" role=\"tab\"\n",
+       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#histogram-6326444397189143252\" aria-controls=\"histogram-6326444397189143252\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#common-6326444397189143252\" aria-controls=\"common-6326444397189143252\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#extreme-6326444397189143252\" aria-controls=\"extreme-6326444397189143252\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
+       "\n",
+       "    </ul>\n",
+       "\n",
+       "    <div class=\"tab-content\">\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-6326444397189143252\">\n",
+       "            <div class=\"col-md-4 col-md-offset-1\">\n",
+       "                <p class=\"h4\">Quantile statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Minimum</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>5-th percentile</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q1</th>\n",
+       "                        <td>75000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Median</th>\n",
+       "                        <td>114700</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q3</th>\n",
+       "                        <td>173800</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>95-th percentile</th>\n",
+       "                        <td>396800</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Maximum</th>\n",
+       "                        <td>552460000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Range</th>\n",
+       "                        <td>552460000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Interquartile range</th>\n",
+       "                        <td>98800</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "            <div class=\"col-md-4 col-md-offset-2\">\n",
+       "                <p class=\"h4\">Descriptive statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Standard deviation</th>\n",
+       "                        <td>1334900</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Coef of variation</th>\n",
+       "                        <td>7.1659</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Kurtosis</th>\n",
+       "                        <td>71710</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Mean</th>\n",
+       "                        <td>186280</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>MAD</th>\n",
+       "                        <td>147160</td>\n",
+       "                    </tr>\n",
+       "                    <tr class=\"alert\">\n",
+       "                        <th>Skewness</th>\n",
+       "                        <td>200.8</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Sum</th>\n",
+       "                        <td>79684000000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Variance</th>\n",
+       "                        <td>1781900000000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Memory size</th>\n",
+       "                        <td>3.3 MiB</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-6326444397189143252\">\n",
+       "            <img 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1thV6vlzwmbG5uRmVlJRwdHcUxjUbTYU0AYlaj0UAQhA6zP6158uTJB9a8n9JPUmFhrZKM2bv5wH6kzwPPJSIioo7t3bsXe/fulYxVV1d302o6qcEqLy%2BHIAiIjo7G0qVLTY4PHToUMTEx2LJlC/r374%2BCggKTzBdffAF3d3fxe3d3dwiCgIKCAgQGBorjFy5cgNFoNMmeOXPGpGZ%2Bfj569%2B4NV1dXAMCoUaOgUChQUFCAkJAQMdfc3Izi4mLMmDFDUjMtLQ0lJSWSF93z8/Mhk8kk83fE2X9hj9imgYiIqKcJCwtDWFiYZKxtm4bu0CmPCEeNGoUDBw7gwIEDOHjwoPhv5MiRGDx4MA4ePIj58%2BcDAF5%2B%2BWV89NFH4p0u4O4%2BWNeuXZNs9unr6wt7e3ukpKRI5kpJSYFKpcKUKVPEsZCQENy%2BfRv79%2B8Xx/R6PbKzsxEcHCzeFevTpw/8/PyQkZEh2bk9PT0ddXV1kvmnTZsGhUKB5ORkyfw7d%2B6Ek5MTvL29f8klIyIiosdIp9zBUqvVCA4ONhnfunUrZDIZXnrpJXEsLi4O2dnZ8PHxQUxMDGpqapCYmIjRo0dj7ty5Ys7a2hrr1q1DVFQUtFotAgICcOrUKWRmZmL9%2BvXo27evmA0JCUFSUhLmzZuHK1euwMHBAcnJyTAajVi7dq1kTfHx8Rg/fjwmTpyIiIgIlJaWYsuWLQgICIC/v7%2BYc3JywrJly5CYmIimpiaMGzcOBw4cwNmzZ5GZmdnhJqNERET05OmUBut%2BftqIPPXUU/jss8%2BwYsUK/OEPf4CVlRWmTp2KxMRE8U5Tm8jISFhZWWHz5s04dOgQnJ2dkZSUZPIYUi6X48iRI4iNjcX27dthMBjg5eWF9PR0uLi4SLJjxoxBXl4eVq9ejRUrVsDW1hYLFizA%2BvXrTdaekJAAe3t7pKamYvfu3XBxccGePXskjxKJiIiIuuSjcp50/KgcIiKirvdYf1QOERER0ZOGDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmbLCIiIiIzIwNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMw6rcH68ssvodVqMWzYMKhUKvTv3x%2BTJk3CRx99JMnNmzcPcrnc5J%2Bbm1u7ddPS0uDm5galUglXV1fs2LGj3Vx1dTUiIiIwYMAA2NjYwNfXF0VFRe1mz507hwkTJkClUkGj0SAmJgZ1dXUmOUEQsHHjRgwdOhRKpRKjR4/Gvn37HvHKEBER0eNO0VmFv/32W9TW1mLu3LlwdHREfX09cnJyEBwcjF27duG1114Ts9bW1khLS4MgCOKYnZ2dSc3U1FRERkYiNDQUK1euxOnTpxEdHQ2DwYDY2FgxJwgCgoKCcPnyZaxatQpqtRrJycnw8fFBYWEhhg0bJmaLi4vh5%2BcHNzc3bN26FWVlZdi0aRNu3LiBw4cPS%2BaPi4tDQkICFi5cCE9PT%2BTm5mLWrFmQy%2BXQarXmvHxERETUg8mEe7uaTiYIAsaOHYvGxkZ8%2BeWXAO7ewcrJycGdO3fue25DQwOcnZ3h7e2N3NxccTw8PBy5ubkoLS0Vm7KsrCzMnDkTOTk5mD59OgBAr9fD1dUVQUFByMjIEM8PCgrCpUuXcPXqVahUKgB375JFRETg2LFj8PPzAwBUVFRgyJAhWLRoEbZt2yaeP2nSJNy8eRM3b96ETCZrd%2B2FhYXw8PDAM69uR%2B9Bwx/1snW5itN7YLz%2BKW7pyrt7KURERD9b2%2B/fixcvYuzYsV06d5e%2BgyWTyeDs7Iwff/zR5JjRaERNTU2H5544cQJVVVVYvHixZHzJkiWora2V3G3KycnBoEGDxOYKABwcHKDVapGbm4vm5mYAQE1NDfLy8hAeHi42VwAwZ84cqFQqZGVliWMHDx5ES0sLIiMjJfNHRkairKwM58%2Bff8irQERERI%2B7Tm%2Bw6uvrUVlZia%2B//hpbt27FkSNHxLtC92b69OkDOzs7qNVqREVFmbwD1fb%2BlIeHh2Tcw8MDcrlc8n5VUVFRu52ql5cX6uvrce3aNQDA5cuX0dLSYlLT0tIS7u7ukprFxcVQqVQYMWKESU1BEDp8v4uIiIiePJ32DlablStXIjU1FQAgl8vx8ssvY/v27eJxR0dHrFq1CmPHjoXRaMTRo0eRnJyMS5cu4eTJk5DL7/aAOp0OFhYWcHBwkNS3tLSEWq1GRUWFOKbT6TBp0iSTtWg0GgB3H/eNHDkSOp0OMplMHP9p9syZM5KaAwcOvG9NIiIiIqALGqzly5cjNDQUFRUVyMrKQmtrKxobG8Xj8fHxkrxWq4WLiwvefPNNZGdniy%2BPGwwGWFlZtTuHtbU1DAaD%2BL3BYECvXr3azQmCIGbbvnaUfdia99YiIiIi6vRHhK6urvD19cXs2bPx4YcfoqamBsHBwfc9Z/ny5ZDJZMjLyxPHlEolmpqa2s03NDRAqVRKsvc2cffmZDKZmG372lH2YWveW4uIiIio0%2B9g/VRISAgWLVqE69evw8XFpd2MtbU11Go1qqqqxDGNRoPW1lbo9XrJY8Lm5mZUVlbC0dFRktXpdCZ128bashqNBoIgdJj9ac2TJ08%2BsOb9lH6SCgtrlWTM3s0H9iN9HnguERERdWzv3r3Yu3evZKy6urqbVtMNDVbbo7T7/dC1tbXQ6/Xo37%2B/OObu7g5BEFBQUIDAwEBx/MKFCzAajXB3d5dk731/qk1%2Bfj569%2B4NV1dXAMCoUaOgUChQUFCAkJAQMdfc3Izi4mLMmDFDUjMtLQ0lJSWSF93z8/Mhk8kk83fE2X9hj9imgYiIqKcJCwtDWFiYZKxtm4bu0GmPCH/44QeTsZaWFuzevRtKpRJubm5obGxEbW2tSe6dd94BAEyePFkc8/X1hb29PVJSUiTZlJQUqFQqTJkyRRwLCQnB7du3sX//fnFMr9cjOzsbwcHBsLS0BAD06dMHfn5%2ByMjIkPzVYnp6Ourq6iSbh06bNg0KhQLJycmS%2BXfu3AknJyd4e3s/1HUhIiKix1%2Bn3cFauHAh7ty5g4kTJ8LJyQm3bt3Cnj17cPXqVWzZsgW9e/fGt99%2BizFjxiAsLEy8K3T06FEcOXIEQUFBkne1rK2tsW7dOkRFRUGr1SIgIACnTp1CZmYm1q9fj759%2B4rZkJAQJCUlYd68ebhy5QocHByQnJwMo9GItWvXStYZHx%2BP8ePHY%2BLEiYiIiEBpaSm2bNmCgIAA%2BPv7izknJycsW7YMiYmJaGpqwrhx43DgwAGcPXsWmZmZHW4ySkRERE%2BeTmuwZs6cibS0NOzcuROVlZWwtbWFh4cHNm3aJN5t6tu3L1566SXk5eUhPT0dra2tGD58ODZs2ICVK1ea1IyMjISVlRU2b96MQ4cOwdnZGUlJSVi6dKkkJ5fLceTIEcTGxmL79u0wGAzw8vJCenq6yXtfY8aMQV5eHlavXo0VK1bA1tYWCxYswPr1603mT0hIgL29PVJTU7F79264uLhgz549kkeJRERERF36UTlPKn5UDhERUdd7Yj4qh4iIiOhJwAaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmbLCIiIiIzKzTGqwvv/wSWq0Ww4YNg0qlQv/%2B/TFp0iR89NFHJtmSkhIEBgbC1tYWarUac%2BbMgV6vb7duWloa3NzcoFQq4erqih07drSbq66uRkREBAYMGAAbGxv4%2BvqiqKio3ey5c%2BcwYcIEqFQqaDQaxMTEoK6uziQnCAI2btyIoUOHQqlUYvTo0di3b98jXBUiIiJ6EnRag/Xtt9%2BitrYWc%2BfOxZ/%2B9Ce8/fbbkMlkCA4Oxl/%2B8hcxV15ejueffx5ff/01NmzYgNjYWBw%2BfBgvvvgiWlpaJDVTU1OxYMECPPvss9ixYwe8vb0RHR2NTZs2SXKCICAoKAj79u0Tj//www/w8fHBv/71L0m2uLgYfn5%2BaGhowNatW7FgwQLs2rULWq3W5GeKi4vD66%2B/joCAAOzYsQODBw/GrFmzkJWVZcYrR0RERD2dTBAEoasmEwQBY8eORWNjI7788ksAwOLFi5Geno6rV6/CyckJAHD8%2BHH4%2B/tj165deO211wAADQ0NcHZ2hre3N3Jzc8Wa4eHhyM3NRWlpKezs7AAAWVlZmDlzJnJycjB9%2BnQAgF6vh6urK4KCgpCRkSGeHxQUhEuXLuHq1atQqVQA7t4li4iIwLFjx%2BDn5wcAqKiowJAhQ7Bo0SJs27ZNPH/SpEm4efMmbt68CZlM1u7PXVhYCA8PDzzz6nb0HjTcLNeyM1Wc3gPj9U9xS1fe3UshIiL62dp%2B/168eBFjx47t0rm79B0smUwGZ2dn/Pjjj%2BLY/v37MXXqVLG5AoAXXngBrq6ukjtDJ06cQFVVFRYvXiypuWTJEtTW1uLw4cPiWE5ODgYNGiQ2VwDg4OAArVaL3NxcNDc3AwBqamqQl5eH8PBwsbkCgDlz5kClUknmP3jwIFpaWhAZGSmZPzIyEmVlZTh//vzPvSxERET0mOn0Bqu%2Bvh6VlZX4%2BuuvsXXrVhw5ckRyV%2Bj777%2BHp6enyXleXl6Sd6ba/tvDw0OS8/DwgFwuN8m216l6eXmhvr4e165dAwBcvnwZLS0tJjUtLS3h7u4uqVlcXAyVSoURI0aY1BQEocP3u4iIiOjJ0%2BkN1sqVK9G/f38MHz4csbGx%2BN3vfoft27cDAHQ6HQBAo9GYnKfRaFBVVSXebdLpdLCwsICDg4MkZ2lpCbVajYqKCnFMp9N1WBOAmNXpdJDJZB1mf1pz4MCBD6xJREREpOjsCZYvX47Q0FBUVFQgKysLra2taGxsBAAYDAYAQK9evUzOs7a2FjOWlpYwGAywsrJqdw5ra2uxVts5HdUUBEHMPmj%2Bh615by0iIiKiTr%2BD5erqCl9fX8yePRsffvghampqEBwcDABQKpUAIDZc92poaJBklEolmpqa2p2joaFBzLVlO6opk8kkNe83/8PWvLcWERERUaffwfqpkJAQLFq0CNevXxcfr7U9KryXTqeDvb09LC0tAdx9FNfa2gq9Xi95TNjc3IzKyko4OjqKYxqNpsOaAMSsRqOBIAgdZn9a8%2BTJkw%2BseT%2Bln6TCwlolGbN384H9SJ8HnktEREQd27t3L/bu3SsZq66u7qbVdEOD1fYorbq6Gi4uLujfvz8KCgpMcl988QXc3d3F793d3SEIAgoKChAYGCiOX7hwAUaj0SR75swZk5r5%2Bfno3bs3XF1dAQCjRo2CQqFAQUEBQkJCxFxzczOKi4sxY8YMSc20tDSUlJRIXnTPz8%2BHTCaTzN8RZ/%2BFPWKbBiIiop4mLCwMYWFhkrG2bRq6Q6c9Ivzhhx9MxlpaWrB7924olUq4ubkBAF5%2B%2BWV89NFHKC//vz2Xjh8/jmvXrkk2%2B/T19YW9vT1SUlIkNVNSUqBSqTBlyhRxLCQkBLdv38b%2B/fvFMb1ej%2BzsbAQHB4t3xfr06QM/Pz9kZGRIdm5PT09HXV2dZP5p06ZBoVAgOTlZMv/OnTvh5OQEb2/vR7o%2BRERE9PjqtDtYCxcuxJ07dzBx4kQ4OTnh1q1b2LNnD65evYotW7agd%2B/eAO7ujp6dnQ0fHx/ExMSgpqYGiYmJGD16NObOnSvWs7a2xrp16xAVFQWtVouAgACcOnUKmZmZWL9%2BPfr27StmQ0JCkJSUhHnz5uHKlStwcHBAcnIyjEYj1q5dK1lnfHw8xo8fj4kTJyIiIgKlpaXYsmULAgIC4O/vL%2BacnJywbNkyJCYmoqmpCePGjcOBAwdw9uxZZGZmdrjJKBERET15Oq3BmjlzJtLS0rBz505UVlbC1tYWHh4e2LRpk%2BRu01NPPYXPPvsMK1aswB/%2B8AdYWVlh6tSpSExMFO80tYmMjISVlRU2b96MQ4cOwdnZGUlJSVi6dKkkJ5fLceTIEcTGxmLVKSpVAAAgAElEQVT79u0wGAzw8vJCeno6XFxcJNkxY8YgLy8Pq1evxooVK2Bra4sFCxZg/fr1Jj9TQkIC7O3tkZqait27d8PFxQV79uyRPEokIiIi6tKPynlS8aNyiIiIut4T81E5RERERE8CNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMTP7SSy8hKysLjY2N3b0WIiIioseC/Msvv8TMmTMxcOBAzJ8/HydPnuzuNRERERH1aPJ//etfOHv2LF555RUcOnQIL7zwAp5%2B%2Bmn84Q9/wD//%2Bc/uXh8RERFRjyMHgP/3//4f3n33Xeh0Onz44YcYP348tm/fjtGjR8Pd3R1btmyBTqfr7rUSERER9QiSl9wtLCwwZcoU7N27F2VlZQgJCcGlS5cQGxuLp59%2BGoGBgTh27Fh3rZWIiIioRzD5K8L8/HxERUXB1dUVH3zwAZ555hnEx8djw4YNKC0tRVBQEP7nf/6nO9ZKRERE1CMoAODatWvIyMhAZmYmvvnmGzg4OCAsLAzh4eHw9PQUwytXrsT8%2BfOxfft2rFmzptsWTURERPSfTOHp6YmioiJYWVlh6tSp2Lp1KyZPngyFQtHuCX5%2BfvjrX//axcskIiIi6jkU1tbWSE5OxowZM9C3b98HnhAcHIzr1693wdKIiIiIeibFmTNnHukElUqFYcOGddJyiIiIiHo%2BeXFxMVJTUzsM7Nq1C5cuXerCJRERERH1bPK4uDgcOXKkw8CxY8fwxhtvdOGSiIiIiHo2eUFBASZOnNhh4Pnnn8eFCxe6cElEREREPZu8pqYGVlZWHQYsLCxQXV3dhUsiIiIi6tnkLi4u%2BOSTTzoMfPzxxxgyZMgjFy4oKEBUVBRGjRoFGxsbDB48GDNmzDD5C8R58%2BZBLpeb/HNzc2u3blpaGtzc3KBUKuHq6oodO3a0m6uurkZERAQGDBgAGxsb%2BPr6oqioqN3suXPnMGHCBKhUKmg0GsTExKCurs4kJwgCNm7ciKFDh0KpVGL06NHYt2/fI14ZIiIietwp5s2bh5UrV2LVqlV46623YGtrCwC4c%2BcO1q1bh3/84x9ISEh45MIJCQk4d%2B4cQkND8dxzz%2BHWrVvYvn07xo4di88//1zSQFlbWyMtLQ2CIIhjdnZ2JjVTU1MRGRmJ0NBQrFy5EqdPn0Z0dDQMBgNiY2PFnCAICAoKwuXLl7Fq1Sqo1WokJyfDx8cHhYWFkr%2BCLC4uhp%2BfH9zc3LB161aUlZVh06ZNuHHjBg4fPiyZPy4uDgkJCVi4cCE8PT2Rm5uLWbNmQS6XQ6vVPvI1IiIioseTzGg0CnPmzMGePXugUCjw1FNPAQDKysrQ0tKCsLAwZGRkQCaTPVLh/Px8eHp6SjYsvXHjBp599lmEhoYiPT0dwN07WDk5Obhz58596zU0NMDZ2Rne3t7Izc0Vx8PDw5Gbm4vS0lKxKcvKysLMmTORk5OD6dOnAwD0ej1cXV0RFBSEjIwM8fygoCBcunQJV69ehUqlAnD3LllERASOHTsGPz8/AEBFRQWGDBmCRYsWYdu2beL5kyZNws2bN3Hz5s0Or1FhYSE8PDzwzKvb0XvQ8Ie%2Bht2l4vQeGK9/ilu68u5eChER0c/W9vv34sWLGDt2bJfOLZfJZHj//fdx7NgxvPrqqxg%2BfDiGDx%2BO%2BfPn4%2BOPP8aePXseubkCgN/85jcmu8EPHz4cI0eOxFdffWWSNxqNqKmp6bDeiRMnUFVVhcWLF0vGlyxZgtraWsndppycHAwaNEhsrgDAwcEBWq0Wubm5aG5uBgDU1NQgLy8P4eHhYnMFAHPmzIFKpUJWVpY4dvDgQbS0tCAyMlIyf2RkJMrKynD%2B/Pn7XQ4iIiJ6gogf9uzv74%2BdO3fi448/xscff4yUlBTx7o053b59Gw4ODpKx%2Bvp69OnTB3Z2dlCr1YiKijJ5B6rt/SkPDw/JuIeHB%2BRyueT9qqKionY7VS8vL9TX1%2BPatWsAgMuXL6OlpcWkpqWlJdzd3SU1i4uLoVKpMGLECJOagiB0%2BH4XERERPXnkD46YT0ZGBsrLyzFz5kxxzNHREatWrcLf/vY37Nu3D9OmTUNycjImT54Mo9Eo5nQ6HSwsLEyaM0tLS6jValRUVEiyGo3GZP62sbasTqeDTCbrMPvTmgMHDnxgTSIiIiIFcPedo7S0NHz99df497//LXnZHABkMhkaGxt/0UQlJSWIiorC%2BPHjMWfOHHE8Pj5ektNqtXBxccGbb76J7Oxs8eVxg8HQ4XYS1tbWMBgM4vcGgwG9evVqNycIgpht%2B9pR9mFr3luLiIiISPH6669j06ZNePbZZxESEoJ%2B/fqZfZLbt29jypQp6NevHz744IMHvtO1fPlyvPXWW8jLyxMbLKVSiaampnbzDQ0NUCqV4vdKpbLdhrChoQEymUzMtn3tKPuwNe%2BtRURERKR47733MH36dGRnZ3fKBHfu3EFgYCDu3LmDM2fOYNCgQQ88x9raGmq1GlVVVeKYRqNBa2sr9Hq95DFhc3MzKisr4ejoKMnqdDqTum1jbVmNRgNBEDrM/rTmyZMnH1jzfko/SYWFtUoyZu/mA/uRPg88l4iIiDq2d%2B9e7N27VzLWnRulKwwGA1588cVOKd7Y2IipU6fixo0bOH78OH79618/1Hm1tbXQ6/Xo37%2B/OObu7g5BEFBQUIDAwEBx/MKFCzAajXB3d5dkz5w5Y1I3Pz8fvXv3hqurKwBg1KhRUCgUKCgoQEhIiJhrbm5GcXExZsyYIamZlpaGkpISyYvu%2Bfn5kMlkkvk74uy/sEds00BERNTThIWFISwsTDLWtk1Dd5D/9re/xcWLF81e2Gg0QqvV4vPPP0d2dja8vLxMMo2NjaitrTUZf%2BeddwAAkydPFsd8fX1hb2%2BPlJQUSTYlJQUqlQpTpkwRx0JCQnD79m3s379fHNPr9cjOzkZwcDAsLS0BAH369IGfnx8yMjIkf7WYnp6Ouro6yeah06ZNg0KhQHJysmT%2BnTt3wsnJCd7e3g91XYiIiOjxp0hOTsaLL76IjRs3IiIiAn379jVL4RUrVuDQoUMIDg6GXq/Hnj17JMdfeeUV3Lp1C2PGjEFYWJh4V%2Bjo0aM4cuQIgoKCEBwcLOatra2xbt06REVFQavVIiAgAKdOnUJmZibWr18vWXdISAiSkpIwb948XLlyBQ4ODkhOTobRaMTatWsl64iPj8f48eMxceJEREREoLS0FFu2bEFAQAD8/f3FnJOTE5YtW4bExEQ0NTVh3LhxOHDgAM6ePYvMzMyftVcYERERPZ5kffv2FVpaWlBfXw8AsLGxgYWFhTQkk6GysvKRCv/2t7/FqVOnOjze2tqK6upqREdHIz8/HxUVFWhtbcXw4cMxe/ZsrFy50mQdwN2/eNy8eTO%2B%2BeYbODs7Y%2BnSpVi6dKlJrrq6GrGxsTh48CAMBgO8vLyQmJiIMWPGmGTPnTuH1atXo7CwELa2tpgxYwbWr18v2Xy0TUJCAlJTU6HT6eDi4oK4uDjJthPt4U7uREREXa87d3KXvfLKK8LD3H15//33u2A5jyc2WERERF2vOxssxb2fy0dEREREv1yX7uRORERE9CSQA0BZWRmioqIwcuRI9O/fH6dPnwZw9y/vVqxYgeLi4m5dJBEREVFPoigpKcHzzz%2BP5uZmjBs3DiUlJWhubgYAODg44MSJE7hz5w7%2B8pe/dPNSiYiIiHoGxapVq2BjY4P8/HxYWFhgwIABksCUKVPwwQcfdNPyiIiIiHoe%2BWeffYbFixdj4MCB7e7lNHjwYJSX86/JiIiIiB6WvLW1td39ntro9Xpx53MiIiIiejD5mDFjcPTo0XYPtra2Yt%2B%2Bffiv//qvLl4WERERUc8lf/3113H48GEsXboUJSUlAO7etTp58iQCAwPx5Zdf4vXXX%2B/mZRIRERH1HIopU6YgLS0Ny5YtEz/IuO3TqG1sbPDee%2B/Bx8enG5dIRERE1LMoAGDu3Ll4%2BeWXcfToUdy4cQNGoxHDhg3D5MmTYWdn191rJCIiIupRFG3/YWtri9DQ0O5cCxEREdFjQVFRUfFQQUdHx05eChEREdHjQfHUU0%2B1u//VT7W2tnbBcoiIiIh6PsWuXbtMGqzW1lbcvHkT77//PjQaDRYuXNhNyyMiIiLqeRSvvfZahwfj4uLg5eWFhoaGLlwSERERUc8mv99BGxsbvPrqq9i8eXNXrYeIiIiox7tvg9VGp9N19jqIiIiIHhuKjg7U19fj1KlTSExMhLu7e1euiYiIiKhHU1haWrb7V4Stra0QBAFOTk549913u2FpRERERD2TYvXq1SYNlkwmQ79%2B/cTd3C0tLbtpeUREREQ9j%2BJ///d/u3sNRERERI%2BVh3rJ/ecoKChAVFQURo0aBRsbGwwePBgzZszA9evXTbIlJSUIDAyEra0t1Go15syZA71e327dtLQ0uLm5QalUwtXVFTt27Gg3V11djYiICAwYMAA2Njbw9fVFUVFRu9lz585hwoQJUKlU0Gg0iImJQV1dnUlOEARs3LgRQ4cOhVKpxOjRo7Fv375HuCpERET0JFBEREQ88kkymQypqan3zSQkJODcuXMIDQ3Fc889h1u3bmH79u0YO3YsPv/8c7i5uQEAysvL8fzzz6Nfv37YsGEDampqsGnTJvzzn//EF198AYXi/97DT01NRWRkJEJDQ7Fy5UqcPn0a0dHRMBgMiI2NFXOCICAoKAiXL1/GqlWroFarkZycDB8fHxQWFmLYsGFitri4GH5%2BfnBzc8PWrVtRVlaGTZs24caNGzh8%2BLDkZ4qLi0NCQgIWLlwIT09P5ObmYtasWZDL5dBqtY98HYmIiOjxJHvqqacEg8GAqqoqAHc/9BkAampqAAD29vZQKpXSk2QyfPfdd/ctnJ%2BfD09PT0mDdOPGDTz77LMIDQ1Feno6AGDx4sVIT0/H1atX4eTkBAA4fvw4/P39sWvXLrRthNrQ0ABnZ2d4e3sjNzdXrBkeHo7c3FyUlpbCzs4OAJCVlYWZM2ciJycH06dPBwDo9Xq4uroiKCgIGRkZ4vlBQUG4dOkSrl69CpVKBeDuXbKIiAgcO3YMfn5%2BAICKigoMGTIEixYtwrZt28TzJ02ahJs3b%2BLmzZsdfuRQYWEhPDw88Myr29F70PD7Xrf/BBWn98B4/VPc0pV391KIiIh%2BtrbfvxcvXsTYsWO7dG75J598gt69e2PVqlWoqKhAdXU1qqurUVFRgdjYWKhUKuTl5aG0tFT896DmCgB%2B85vfSJorABg%2BfDhGjhyJr776Shzbv38/pk6dKjZXAPDCCy/A1dUVWVlZ4tiJEydQVVWFxYsXS2ouWbIEtbW1krtNOTk5GDRokNhcAYCDgwO0Wi1yc3PR3NwM4G4TmZeXh/DwcLG5AoA5c%2BZApVJJ5j948CBaWloQGRkpmT8yMhJlZWU4f/78A68JERERPRnkUVFR8Pf3x4YNGzBo0CDxwKBBg5CQkAA/Pz9ERUWZbcLbt2/DwcEBwN27Qt9//z08PT1Ncl5eXpJ3ptr%2B28PDQ5Lz8PCAXC43ybbXqXp5eaG%2Bvh7Xrl0DAFy%2BfBktLS0mNS0tLeHu7i6pWVxcDJVKhREjRpjUFAShw/e7iIiI6Mkjb3uU1xFPT0%2Bz3Z3JyMhAeXk5Zs6cCeD/dojXaDQmWY1Gg6qqKvFuk06ng4WFhdictbG0tIRarUZFRYU4ptPpOqwJQMzqdDrIZLIOsz%2BtOXDgwAfWJCIiIpL37dsXx44d6zBw5MgR8d2mX6KkpARRUVEYP3485syZAwAwGAwAgF69epnkra2tJRmDwQArK6t2a1tbW4u5tmxHNQVBkNS83/wPW/PeWkRERETyiIgIfPjhh3j55Zdx8uRJlJWVoaysDCdOnMDvfvc7HD58GAsXLvxFk9y%2BfRtTpkxBv3798MEHH4gvg7e9PN/Y2GhyTkNDgySjVCrR1NTUbv2GhgbJi/hKpbLDmjKZTFLzfvM/bM17axEREREp3nrrLRgMBmzevBkHDx6UHLSwsMB///d/4%2B233/7ZE9y5cweBgYG4c%2BcOzpw5I3nPq%2B3xWnsfJq3T6WBvby/uIq/RaNDa2gq9Xi95TNjc3IzKyko4OjpK6nZUE4CY1Wg0EAShw%2BxPa548efKBNe%2Bn9JNUWFirJGP2bj6wH%2BnzwHOJiIioY3v37sXevXslY9XV1d20GkAhk8nwxz/%2BEcuXL8exY8fEvxAcPHgw/P39233v6GE1NjZi6tSpuHHjBo4fP45f//rXkuOOjo7o378/CgoKTM794osvJB8y7e7uDkEQUFBQgMDAQHH8woULMBqNJtkzZ86Y1MzPz0fv3r3h6uoKABg1ahQUCgUKCgoQEhIi5pqbm1FcXIwZM2ZIaqalpaGkpETyont%2Bfj5kMtlDfSC2s//CHrFNAxERUU8TFhaGsLAwyVjbNg3dQdzJfcCAAQgPD8cbb7yBN954A7Nnz/5FzZXRaIRWq8Xnn3%2BO7OxseHl5tZt7%2BeWX8dFHH6G8/P/2XDp%2B/DiuXbsm2bzT19cX9vb2SElJkZyfkpIClUqFKVOmiGMhISG4ffs29u/fL47p9XpkZ2cjODhYvCvWp08f%2BPn5ISMjQ7Jze3p6Ourq6iTzT5s2DQqFAsnJyZL5d%2B7cCScnJ3h7ez/K5SEiIqLHmAK42wzt378fJ06cwPfff481a9Zg1KhRuHPnDk6ePInf/OY3GDBgwCMVXrFiBQ4dOoTg4GDo9Xrs2bNHcvyVV14BcHd39OzsbPj4%2BCAmJgY1NTVITEzE6NGjMXfuXDFvbW2NdevWISoqClqtFgEBATh16hQyMzOxfv169O3bV8yGhIQgKSkJ8%2BbNw5UrV%2BDg4IDk5GQYjUasXbtWso74%2BHiMHz8eEydOREREBEpLS7FlyxYEBATA399fzDk5OWHZsmVITExEU1MTxo0bhwMHDuDs2bPIzMzscJNRIiIievLIqqurhcmTJ%2BP8%2BfNQKpVoaGjAJ598Al9fX7S0tGDw4MGYO3cu4uPjH6nwb3/7W5w6darD462treJ/f/XVV1ixYgXOnDkDKysrTJ06FYmJiejfv7/JeWlpadi8eTO%2B%2BeYbODs7Y%2BnSpVi6dKlJrrq6GrGxsTh48CAMBgO8vLyQmJiIMWPGmGTPnTuH1atXo7CwELa2tpgxYwbWr18v2Xy0TUJCAlJTU6HT6eDi4oK4uDhx24mOcCd3IiKirtedO7nLIiMjhfT0dHzwwQfw9PTEwIEDkZeXB19fXwBATEwMTp06xY00fwE2WERERF2vWz8q58CBA1i6dCkmT54MuVxuEnB1dcXNmze7dFFEREREPZn83//%2BN4YOHdphoKWlRdxNnYiIiIgeTD5s2LD7Pv7Ly8vDM88804VLIiIiIurZ5PPnz8d7772HnJwccVAmk6G5uRlr1qzBP/7xD0RERHTjEomIiIh6FsXy5ctx%2BfJlhIaGQq1WAwDCw8Oh1%2BvR1NSE%2BfPnY8GCBd28TCIiIqKeQyGTyfDXv/4Vv//975GdnY3r16/DaDRi2LBh0Gq14l8TEhEREdHDUfzjH//A008/DR8fH/j4%2BHT3eoiIiIh6PPn06dNx%2BvTp7l4HERER0WNDPnz4cFRVVXX3OoiIiIgeG/LXX38d7777Lm7cuNHdayEiIiJ6LCiKiorQr18/uLm54YUXXsCvfvUrKJVKSUgmk2Hz5s3dtEQiIiKinkWRlJQkfnPs2LF2Q2ywiIiIiB6egh%2BDQ0RERGReCgsLi%2B5eAxEREdFjRQ4AlZWVsLCwwKefftrd6yEiIiLq8eRt/yEIQneug4iIiOixIX9whIiIiIgeBRssIiIiIjNTFBYWorq6GgBw/fp19O3bt93g2LFju3JdRERERD2WYty4ceI3ixcvNgkIggCZTIbW1tauXBcRERFRj6V47733unsNRERERI8V%2Be9//3s8zL%2Bfo66uDmvWrMHkyZOhVqshl8uRnp5ukps3bx7kcrnJPzc3t3brpqWlwc3NDUqlEq6urtixY0e7uerqakRERGDAgAGwsbGBr68vioqK2s2eO3cOEyZMgEqlgkajQUxMDOrq6kxygiBg48aNGDp0KJRKJUaPHo19%2B/Y9wlUhIiKix52iM4vr9XqsW7cOgwcPhru7O06ePNlh1traGmlpaZLtIuzs7ExyqampiIyMRGhoKFauXInTp08jOjoaBoMBsbGxYk4QBAQFBeHy5ctYtWoV1Go1kpOT4ePjg8LCQgwbNkzMFhcXw8/PD25ubti6dSvKysqwadMm3LhxA4cPH5bMHxcXh4SEBCxcuBCenp7Izc3FrFmzIJfLodVqf8HVIiIiosdFpzZYjo6OuHXrFgYMGICLFy/i3ve9TBaiUCAsLOy%2B9RoaGvDmm2/ipZdewt///ncAwPz589Ha2op169YhIiJCbMo%2B%2BOADnD9/Hjk5OZg%2BfToAIDQ0FK6urlizZg0yMjLEunFxcbC3t8dnn30GlUoFABg8eDAiIiKQl5cHPz8/AEBFRQW2bNmCpUuXYtu2beL8kyZNQmxsLEJDQyGTyX7m1SIiIqLHRadu02BpaYkBAwY8dN5oNKKmpqbD4ydOnEBVVZXJy/hLlixBbW2t5G5TTk4OBg0aJDZXAODg4ACtVovc3Fy0fQZjTU0N8vLyEB4eLjZXADBnzhyoVCpkZWWJYwcPHkRLSwsiIyMl80dGRqKsrAznz59/6J%2BViIiIHl//Mftg1dfXo0%2BfPrCzs4NarUZUVJTJO1Bt7095eHhIxj08PCCXyyXvVxUVFbW7tYSXlxfq6%2Btx7do1AMDly5fR0tJiUtPS0hLu7u6SmsXFxVCpVBgxYoRJTUEQOny/i4iIiJ4s/xENlqOjI1atWoW//e1v2LdvH6ZNm4bk5GRMnjwZRqNRzOl0OlhYWMDBwUFyvqWlJdRqNSoqKiRZjUZjMlfbWFtWp9NBJpN1mP1pzYEDBz6wJhERET3ZOvUdrIcVHx8v%2BV6r1cLFxQVvvvkmsrOzxZfHDQYDrKys2q1hbW0Ng8Egfm8wGNCrV692c4IgiNm2rx1lH7bmvbWIiIjoyfYfcQerPcuXL4dMJkNeXp44plQq0dTU1G6%2BoaEBSqVSkm1sbGw3J5PJxGzb146yD1vz3lpERET0ZPuPuIPVHmtra6jValRVVYljGo0Gra2t0Ov1kseEzc3NqKyshKOjoySr0%2BlM6raNtWU1Gg0EQegw%2B9Oa7W018dOaHSn9JBUW1irJmL2bD%2BxH%2Btz3PCIiIrq/vXv3Yu/evZKxto8C7A7/sQ1WbW0t9Ho9%2BvfvL465u7tDEAQUFBQgMDBQHL9w4QKMRiPc3d0l2TNnzpjUzc/PR%2B/eveHq6goAGDVqFBQKBQoKChASEiLmmpubUVxcjBkzZkhqpqWloaSkRPKie35%2BPmQymWT%2B9jj7L0TvQcMf4SoQERHRwwgLCzPZ7qmwsNDkj9i6Src/ImxsbERtba3J%2BDvvvAMAmDx5sjjm6%2BsLe3t7pKSkSLIpKSlQqVSYMmWKOBYSEoLbt29j//794pher0d2djaCg4NhaWkJAOjTpw/8/PyQkZEh%2BavF9PR01NXVSTYPnTZtGhQKBZKTkyXz79y5E05OTvD29v45l4CIiIgeM51%2BB%2Bvdd9/Fjz/%2BiPLycgDAhx9%2BiNLSUgBAdHQ0qqqqMGbMGISFhYl3hY4ePYojR44gKCgIwcHBYi1ra2usW7cOUVFR0Gq1CAgIwKlTp5CZmYn169ejb9%2B%2BYjYkJARJSUmYN28erly5AgcHByQnJ8NoNGLt2rWSNcbHx2P8%2BPGYOHEiIiIiUFpaii1btiAgIAD%2B/v5izsnJCcuWLUNiYiKampowbtw4HDhwAGfPnkVmZiY3GSUiIiIAgEy497NpOsGQIUPw3XfftXvsm2%2B%2BgZ2dHaKjo5Gfn4%2BKigq0trZi%2BPDhmD17NlauXAkLCwuT89LS0rB582Z88803cHZ2xtKlS7F06VKTXHV1NWJjY3Hw4EEYDAZ4eXkhMTERY8aMMcmeO3cOq1evRmFhIWxtbTFjxgysX79esvlom4SEBKSmpkKn08HFxQVxcXGYOXNmh9eg7RblM69u7xGPCCtO74Hx%2Bqe4pSvv7qUQERH9bG2/fy9evNju3pidqdMbLGKDRURE1B26s8Hq9newiIiIiB43bLCIiIiIzIwNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzDq1waqrq8OaNWswefJkqNVqyOVypKent5stKSlBYGAgbG1toVarMWfOHOj1%2BnazaWlpcHNzg1KphKurK3bs2NFurrq6GhERERgwYABsbGzg6%2BuLoqKidrPnzp3DhAkToFKpoNFoEBMTg7q6OpOcIAjYuHEjhg4dCqVSidGjR2Pfvn0PeUWIiIjoSdCpDZZer8e6detQUlICd3d3yGSydnPl5f%2B/vTsPiuLM3wD%2BzMgxnCZcOrAsUcxsfoo4USF4BAlBMYq4Rg7NrlcUUl54lRrZrKZCULKiGDHiUZasQVkV0HjErRWDGCOK4OIaj3gkXjCioCLgcPfvjxS9zg54xIGe0edT1VXw9nfe/vKWJQ/dPT3FePvtt/Hzzz8jISEB8%2BfPx/79%2BzFkyBA0NDTo1K5fvx5RUVHo2bMn1qxZg/79%2ByMmJgbLly/XqRMEAcOGDcM//vEPcf%2BdO3cQEBCAK1eu6NQWFRUhKCgINTU1SEpKQlRUFDZs2ICIiAi9XmNjY/Hxxx8jODgYa9asgYeHBz744APs2LHjOVeLiIiIXhRmbZRikRkAABm0SURBVDm5q6srbt26BRcXFxQWFsLHx6fFuvj4eGi1WhQVFcHNzQ0A4OPjg8GDByM1NRVTpkwBANTU1OCTTz7BiBEjsH37dgDA5MmT0djYiLi4OERHR6Njx44AgJ07dyIvLw%2BZmZkYNWoUACA8PBwqlQpLlixBWlqaePzY2Fg4ODggNzcXNjY2AAAPDw9ER0cjOzsbQUFBAICSkhKsXLkSM2fOxJdffikef9CgQZg/fz7Cw8NbDZFERET08mjTM1jm5uZwcXF5Yl1WVhZCQkLEcAUA7777LlQqlc6ZoZycHNy9exfTpk3Tef306dNRVVWF/fv3i2OZmZno3LmzGK4AwMnJCREREfjmm29QX18PAKisrER2djbGjRsnhisAGD9%2BPGxsbHSOv3v3bjQ0NGDq1Kk6x586dSpu3ryJvLy8J/6sRERE9OKT/Cb3kpIS3L59G3379tXb5%2Bvrq3PPVPPXffr00anr06cP5HK5Xm3v3r1bnPPhw4e4ePEiAODMmTNoaGjQm9Pc3BxqtVpnzqKiItjY2OCNN97Qm1MQhFbv7yIiIqKXi%2BQBS6PRAACUSqXePqVSibt374pnmzQaDTp06AAnJyedOnNzczg6OqKkpERn3tbmBCDWajQayGSyVmv/d85OnTo9cU4iIiJ6uUkesLRaLQDA0tJSb59CodCp0Wq1sLCwaHEehUIh1jXXtjanIAg6cz7u%2BE8756NzERER0ctN8oBlZWUFAKitrdXbV1NTo1NjZWWFurq6FuepqakR65prW5tTJpPpzPm44z/tnI/ORURERC%2B3Nn0X4dNovrzWfKnwURqNBg4ODjA3NxdrGxsbUVZWpnOZsL6%2BHuXl5XB1ddWZt7U5AYi1SqUSgiC0Wvu/cx4%2BfPiJc7bmxsH16KCw0Rlz6B4Ahx4Bj30dERERPV56ejrS09N1xioqKiTqxggClqurK5ydnVFQUKC3Lz8/H2q1WvxerVZDEAQUFBRg6NCh4vjJkyfR1NSkV3v06FG9OY8fPw5ra2uoVCoAgJeXF8zMzFBQUICwsDCxrr6%2BHkVFRYiMjNSZc9OmTbhw4YLOje7Hjx%2BHTCbTOX5L3Ad/BOvO3R5bQ0RERM9u7NixGDt2rM7YqVOn9N7E1l4kv0QIAKNHj8a%2BfftQXFwsjh06dAgXL17UedhnYGAgHBwckJKSovP6lJQU2NjYYPjw4eJYWFgYSktLkZWVJY6VlZUhIyMDoaGh4lkxe3t7BAUFIS0tTefJ7Vu2bEF1dbXO8UeOHAkzMzOsXbtW5/jr1q2Dm5sb%2Bvfv/5wrQURERC%2BCNj%2BD9dVXX%2BH%2B/ftieNqzZw9u3LgBAIiJiYGdnR1iY2ORkZGBgIAAzJo1C5WVlUhMTESvXr0wceJEcS6FQoG4uDjMmDEDERERCA4OxpEjR7Bt2zYsXboUr7zyilgbFhaGVatWYdKkSTh79iycnJywdu1aNDU14dNPP9XpMT4%2BHgMGDIC/vz%2Bio6Nx48YNrFy5EsHBwRg8eLBY5%2BbmhtmzZyMxMRF1dXXw8fHBrl278MMPP2Dbtm18yCgREREBAGSCIAhteYAuXbrg%2BvXrLe775Zdf8Pvf/x4AcP78ecydOxdHjx6FhYUFQkJCkJiYCGdnZ73Xbdq0CStWrMAvv/wCd3d3zJw5EzNnztSrq6iowPz587F7925otVr4%2BvoiMTERb775pl7tsWPHsHDhQpw6dQp2dnaIjIzE0qVLdR4%2B2uyLL77A%2BvXrodFo8PrrryM2NhZjxoxpdQ2aT1H%2B34fJJnGJsOT7rWi69B1uaYqfXExERGSkmn//FhYWtvhszLbU5gGLGLCIiIikIGXAMop7sIiIiIheJAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYEYRsHJzcyGXy/W2Dh06ID8/X6f2woULGDp0KOzs7ODo6Ijx48ejrKysxXk3bdqE7t27w8rKCiqVCmvWrGmxrqKiAtHR0XBxcYGtrS0CAwPx73//u8XaY8eOYeDAgbCxsYFSqcSsWbNQXV39fAtARERELxQzqRt41OzZs9G3b1%2BdsW7duolfFxcX4%2B2338arr76KhIQEVFZWYvny5fjxxx%2BRn58PM7P//jjr16/H1KlTER4ejnnz5uH7779HTEwMtFot5s%2BfL9YJgoBhw4bhzJkzWLBgARwdHbF27VoEBATg1KlT8PT0FGuLiooQFBSE7t27IykpCTdv3sTy5ctx%2BfJl7N%2B/vw1XhoiIiEyJUQWsgQMH4v333291f3x8PLRaLYqKiuDm5gYA8PHxweDBg5GamoopU6YAAGpqavDJJ59gxIgR2L59OwBg8uTJaGxsRFxcHKKjo9GxY0cAwM6dO5GXl4fMzEyMGjUKABAeHg6VSoUlS5YgLS1NPH5sbCwcHByQm5sLGxsbAICHhweio6ORnZ2NoKAgwy8KERERmRyjuET4qKqqKjQ2Nra4LysrCyEhIWK4AoB3330XKpUKO3bsEMdycnJw9%2B5dTJs2Tef106dPR1VVlc7ZpszMTHTu3FkMVwDg5OSEiIgIfPPNN6ivrwcAVFZWIjs7G%2BPGjRPDFQCMHz8eNjY2OscnIiKil5tRBaxJkybB3t4eCoUCgYGBKCwsFPeVlJTg9u3bepcQAcDX11fnnqnmr/v06aNT16dPH8jlcr3a3r17tzjnw4cPcfHiRQDAmTNn0NDQoDenubk51Gp1q/dsERER0cvHKAKWhYUFwsLC8OWXX2LPnj2Ij4/Hjz/%2BCH9/f5w%2BfRoAoNFoAABKpVLv9UqlEnfv3hXPNmk0GnTo0AFOTk46debm5nB0dERJSYk4ptFoWp0TgFir0Wggk8larX10TiIiInq5GcU9WP369UO/fv3E70NCQjB69Gh4e3tj0aJF%2BPbbb6HVagEAlpaWeq9XKBQAAK1WC3Nzc2i1WlhYWLR4LIVCIc7V/JrW5hQEQax90vEfnZOIiIhebkZxBqslnp6eGDlyJHJyciAIAqysrAAAtbW1erU1NTUAINZYWVmhrq6uxXlramrEuuba1uaUyWQ6cz7u%2BI/OSURERC83oziD1Rp3d3fU1dWhurpavDTXfKnwURqNBg4ODjA3Nwfw6yW7xsZGlJWV6VwmrK%2BvR3l5OVxdXcUxpVLZ6pwAxFqlUglBEFqtfXTO1tw4uB4dFDY6Yw7dA%2BDQI%2BCJryUiIqLWpaenIz09XWesoqJCom6MPGBduXIFCoUCtra2sLW1hbOzMwoKCvTq8vPzoVarxe/VajUEQUBBQQGGDh0qjp88eRJNTU16tUePHtWb8/jx47C2toZKpQIAeHl5wczMDAUFBQgLCxPr6uvrUVRUhMjIyCf%2BPO6DP4J1525PrCMiIqJnM3bsWIwdO1Zn7NSpU3pvTmsvRnGJsKUnsZ8%2BfRp79%2B5FcHCwODZ69Gjs27cPxcXF4tihQ4dw8eJFREREiGOBgYFwcHBASkqKzpwpKSmwsbHB8OHDxbGwsDCUlpYiKytLp5%2BMjAyEhoaKZ8Xs7e0RFBSEtLQ0nSe3b9myBdXV1TrHJyIiopebUZzBioyMhJWVFfr37w8XFxecPXsWGzduhK2tLZYtWybWxcbGIiMjAwEBAZg1axYqKyuRmJiIXr16YeLEiWKdQqFAXFwcZsyYgYiICAQHB%2BPIkSPYtm0bli5dildeeUWsDQsLw6pVqzBp0iScPXsWTk5OWLt2LZqamvDpp5/q9BkfH48BAwbA398f0dHRuHHjBlauXIng4GAMHjy4rZeJiIiITIRRBKxRo0Zh69atSEpKwoMHD%2BDs7IywsDAsXrwYXbt2Fet%2B97vfITc3F3PnzsWiRYtgYWGBkJAQJCYmimeamk2dOhUWFhZYsWIF9u7dC3d3d6xatQozZ87UqZPL5Thw4ADmz5%2BP5ORkaLVa%2BPr6YsuWLXj99dd1at98801kZ2dj4cKFmDt3Luzs7BAVFYWlS5e23eIQERGRyZEJgiBI3cSLrvka8P99mGwS92CVfL8VTZe%2Bwy1N8ZOLiYiIjFTz79/CwsIWHyreloziHiwiIiKiFwkDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWA9o7q6OixcuBBubm6wtraGn58fsrOzpW6LiIiIjAgD1jOaMGECVq1ahXHjxmH16tUwMzPDsGHDcOzYMalbIyIiIiPBgPUM8vPzsX37diQkJCAhIQFTpkzBoUOH4OHhgQULFkjd3gstPT1d6hZMGtfv%2BXD9ng/X7/lw/UwTA9YzyMjIgJmZGaKiosQxS0tLTJ48GXl5eSguLpawuxcb/4N5Ply/58P1ez5cv%2BfD9TNNDFjPoKioCCqVCra2tjrjvr6%2B4n4iIiIiBqxnoNFooFQq9caVSiUEQUBJSYkEXREREZGxYcB6BlqtFpaWlnrjCoVC3E9ERERkJnUDpsTKygq1tbV64zU1NeL%2BljQHr6v7V6GDRcs1xqS2ohQ28kZs3bpV6lZEN2/efGw/crkcTU1N7djR82vPnp%2B0fk/D1NbYkP0aYv2e5EVe3/ZYv6dhqmtsLOv3JE5OTnB2dpa6DR3nz58HINEJEIGe2uDBg4UePXrojR86dEiQyWTCvn37WnxdWlqaAIAbN27cuHHjJsGWlpbW1hFBD89gPQO1Wo3Dhw%2BjqqpK50b348ePQyaTQa1Wt/i64OBgpKWl4bXXXmv1LBcREREZllarxdWrVxEcHNzux5YJgiC0%2B1FNVH5%2BPvz8/JCYmIi5c%2BcC%2BPXJ7l5eXnB2dsYPP/wgcYdERERkDHgG6xn4%2BvoiPDwcixYtQmlpKbp164bU1FRcu3YNmzdvlro9IiIiMhI8g/WM6urq8Ne//hVpaWm4d%2B8evL298fnnnyMoKEjq1oiIiMhIMGARERERGRifg0VERERkYAxYbaiurg4LFy6Em5sbrK2t4efnh%2BzsbKnbMhnV1dVYsmQJ3nvvPTg6OkIul2PLli1St2USCgoKMGPGDHh5ecHW1hYeHh6IjIzEpUuXpG7NJJw7dw4RERHw9PSEjY0NnJ2dMWjQIOzbt0/q1kxSfHw85HI5vL29pW7FJOTm5kIul%2BttHTp0QH5%2BvtTtmYxTp04hNDQUjo6OsLGxQc%2BePbFmzZp2Oz5vcm9DEyZMQFZWFubMmSPeED9s2DAcPnwY/fv3l7o9o1dWVoa4uDh4eHiIj8igp/PFF1/g2LFjCA8Ph7e3N27duoXk5GT07t0bJ06cQPfu3aVu0ahdu3YNVVVVmDhxIlxdXfHw4UNkZmYiNDQUGzZswJQpU6Ru0WQUFxdj2bJlep/hSk82e/Zs9O3bV2esW7duEnVjWv71r38hNDQUvXv3xuLFi2Fra4srV67g5s2b7dYD78FqI82PdFixYgXmzJkDAKitrYWXlxc6deqEo0ePStyh8auvr8e9e/fg4uKCwsJC%2BPj4IDU1FePHj5e6NaN3/Phx9O3bF2Zm//0b6vLly%2BjZsyfCw8N5JvA3EAQBvXv3Rm1tLc6dOyd1OyZjzJgxKC8vR0NDA8rLy/Gf//xH6paMXm5uLt555x1kZGTg/fffl7odk1NZWQmVSoWBAwdi586dkvXBS4RtJCMjA2ZmZoiKihLHLC0tMXnyZOTl5aG4uFjC7kyDubk5XFxcpG7DJPn5%2BemEK%2BDXv3x79OghfnQEPRuZTAZ3d3fcv39f6lZMxpEjR5CVlYVVq1ZJ3YrJqqqqQmNjo9RtmJStW7fi9u3biI%2BPBwA8fPgQUpxLYsBqI0VFRVCpVHqnxX19fcX9RO2ttLQUTk5OUrdhMh4%2BfIjy8nL8/PPPSEpKwoEDB/hIlqfU1NSEmJgYREVFoUePHlK3Y5ImTZoEe3t7KBQKBAYGorCwUOqWTMKhQ4dgb2%2BPGzdu4I033oCtrS3s7e0xbdq0Fj9PuK3wHqw2otFooFQq9caVSiUEQUBJSYkEXdHLLC0tDcXFxfj888%2BlbsVkzJs3D%2BvXrwfw6wfvjh49GsnJyRJ3ZRpSUlJw/fp1fPfdd1K3YnIsLCwQFhaGYcOGwcnJCefOnUNiYiL8/f1x7Ngx9OrVS%2BoWjdqlS5dQX1%2BPkSNHIioqCgkJCTh8%2BDBWr16NioqKdvvgbAasNqLVamFpaak3rlAoxP1E7eXChQuYMWMGBgwYwHvYnsGcOXMQHh6OkpIS7NixA42Nje36F7Cpunv3LpYsWYLFixfDwcFB6nZMTr9%2B/dCvXz/x%2B5CQEIwePRre3t5YtGgRvv32Wwm7M35VVVXQarWYOnUqkpKSAAB//OMfUVtbiw0bNuCzzz6Dp6dnm/fBS4RtxMrKqsX/iGtqasT9RO2htLQUw4cPx6uvvoqdO3dCJpNJ3ZLJUKlUCAwMxJ///Gfs2bMHlZWVCA0Nlboto/eXv/wFjo6OmDFjhtStvDA8PT0xcuRI5OTkSHI/kSlp/v06ZswYnfEPPvgAgiAgLy%2BvXfpgwGojSqUSGo1Gb7x5zNXVtb1bopfQgwcPMHToUDx48AD//Oc/0blzZ6lbMmlhYWE4efIknyf2GJcvX8bGjRsRExOD4uJiXLt2DVevXkVNTQ3q6%2Btx7do13Lt3T%2Bo2TZK7uzvq6upQXV0tdStGrfn3a6dOnXTGm9801V7//hiw2oharcbFixdRVVWlM378%2BHHIZDKo1WqJOqOXRW1tLUJCQnD58mXs378ff/jDH6RuyeQ1X9qvqKiQuBPjVVxcDEEQEBMTgy5duqBLly7o2rUrTpw4gZ9%2B%2Bgldu3ZFXFyc1G2apCtXrkChUPCZYk/Qp08fANB7t37zvc/Ozs7t0gcDVhsJCwtDQ0MDNmzYII7V1dUhNTUVfn5%2BcHNzk7A7etE1NTUhIiICJ06cQEZGhvjuVXo6d%2B7c0RtraGjA3//%2Bd1hZWfFBrY/h5eWFXbt2YdeuXdi9e7e49ejRAx4eHti9ezcmT54sdZtGraysTG/s9OnT2Lt3L4KDgyXoyLRERERAEARs2rRJZ3zjxo0wNzdHQEBAu/TBm9zbiK%2BvL8LDw7Fo0SKUlpaKT3K/du0aNm/eLHV7JuOrr77C/fv3xb9E9uzZgxs3bgAAYmJiYGdnJ2V7Rmvu3LnYu3cvQkNDUVZWpveumT/96U8SdWYaPvroIzx48AD%2B/v5wc3PDrVu3sHXrVvz0009YuXIlrK2tpW7RaDk6OrZ4n1pSUhJkMhlGjBghQVemJTIyElZWVujfvz9cXFxw9uxZbNy4Eba2tli2bJnU7Rk9tVqNDz/8EJs3b0Z9fT0GDRqEnJwcZGZmIjY2tv1ulRCozdTW1goLFiwQXF1dBSsrK%2BGtt94SDh48KHVbJuW1114T5HJ5i9u1a9ekbs9oBQQEtLpucrlc6vaM3vbt24UhQ4YISqVSsLCwEBwdHYUhQ4YI%2B/btk7o1kxUQECB4e3tL3YZJSE5OFvz8/AQnJyfBwsJCcHNzEyZMmCBcuXJF6tZMRkNDg/DZZ58JXbp0ESwtLQWVSiWsXr26XXvgR%2BUQERERGRjvwSIiIiIyMAYsIiIiIgNjwCIiIiIyMAYsIiIiIgNjwCIiIiIyMAYsIiIiIgNjwCIiIiIyMAYsIiIiIgNjwCIiIqI2V11djSVLluC9996Do6Mj5HI5tmzZ8lxzFhYWIiQkBEqlEnZ2dujVqxeSk5PR1NRkoK5/OwYsIiIianNlZWWIi4vDhQsXoFarIZPJnmu%2BU6dOYcCAAbh%2B/To%2B/vhjrFy5Ep6enpg1axbmzZtnoK5/O35UDhEREbW5%2Bvp63Lt3Dy4uLigsLISPjw9SU1Mxfvz43zRfdHQ0vv76a9y6dQsdO3YUxwMCAnD69Gncu3fPUK3/JjyDRURERG3O3NwcLi4uT1V74MAB%2BPv7w9bWFvb29ggJCcG5c%2Bd0aiorK6FQKHTCFQB07twZVlZWBuv7t2LAIiIiIqPx9ddfIyQkBHZ2dvjb3/6GxYsX4/z583j77bdx/fp1sS4gIAAPHjxAdHQ0Lly4gOvXr2PdunXYvXs3YmNjJfwJfsVLhERERNSuWrtEWF1dDXd3d0RGRiIlJUUcv3PnDlQqFSIjI7Fu3ToAQFNTE2bPno3169ejvr4eAGBmZoY1a9YgOjq6fX%2BgFphJ3QARERERABw8eBAVFRUYM2YMysvLxXGZTIa33noLOTk54phcLoenpyeGDh2KiIgIWFpaIj09HTNmzEDnzp0RGhoqxY8gYsAiIiIio3Dp0iUIgoB33nlHb59MJoO9vb34fUJCApKTk3Hp0iVYW1sDAMLCwhAYGIjp06cjJCQEcrl0d0IxYBEREZFRaGpqgkwmQ1paGjp16qS338zsv7ElJSUFgYGBYrhqFhoainnz5uHq1avo2rVrm/fcGgYsIiIiMgqenp4QBAHOzs4IDAx8bG1paSkaGxv1xpvvx2poaGiTHp8W30VIRERERiE4OBj29vZYunRpiwGprKxM/FqlUuHgwYM6z7tqamrC9u3bYWdnB09Pz3bpuTX/D3c4TOSX9cVYAAAAAElFTkSuQmCC\"/>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-6326444397189143252\">\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">35878</td>\n",
+       "        <td class=\"number\">8.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">3600.0</td>\n",
+       "        <td class=\"number\">1830</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">95000.0</td>\n",
+       "        <td class=\"number\">1327</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">100000.0</td>\n",
+       "        <td class=\"number\">1198</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">105000.0</td>\n",
+       "        <td class=\"number\">1191</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">97000.0</td>\n",
+       "        <td class=\"number\">1156</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">110000.0</td>\n",
+       "        <td class=\"number\">1131</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">109000.0</td>\n",
+       "        <td class=\"number\">1127</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">107000.0</td>\n",
+       "        <td class=\"number\">1113</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">99000.0</td>\n",
+       "        <td class=\"number\">1089</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (12407)</td>\n",
+       "        <td class=\"number\">380722</td>\n",
+       "        <td class=\"number\">89.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-6326444397189143252\">\n",
+       "            <p class=\"h4\">Minimum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">35878</td>\n",
+       "        <td class=\"number\">8.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">100.0</td>\n",
+       "        <td class=\"number\">57</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">200.0</td>\n",
+       "        <td class=\"number\">35</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">300.0</td>\n",
+       "        <td class=\"number\">77</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">400.0</td>\n",
+       "        <td class=\"number\">63</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "            <p class=\"h4\">Maximum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">136448400.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">167267200.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">170681400.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">175027000.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">552458400.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">EMV_LAND<br/>\n",
+       "            <small>Numeric</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>9151</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>2.1%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "\n",
+       "                <tr>\n",
+       "                    <th>Mean</th>\n",
+       "                    <td>100420</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>96792000</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"alert\">\n",
+       "                    <th>Zeros (%)</th>\n",
+       "                    <td>5.4%</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram5626572432776039023\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABPVJREFUeJzt3E9IVGscxvHnHBpxwH9Djo3gTEe9pi5CEURkMKONCbMJ4tKirdlCkRAlWhhcdy7ctEiXjrPThaAgrdtmVqBjQ9FwKkqREJ2QK42/u6m5ze32w0nPnDGeD8xiDu857yu8X2bGMwpxQSwWEwB88JHTIxaL5X2vnoELLMsCAIyOjiIYDB75PJ/Ph%2BbmZodWRYUqHo/j5s2bmX2TT64E4vV6AQATExM5nWeaJp49e4aLFy86sSwqcN/2TT65Esg3f/z5F7xV1pHG/r2ziURsBJ8%2BfXJ2UUTfcTUQT4kPRWX%2BI409/HLg8GqIfmS6vQCiQsZAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESHHGjUn39/cBAInoMAzzaI3K4SEAYHV1Fe/evctpPtM0cfj1fKfP41wnc15lZSX8fj8AIB6PA/h33%2BSTK4Ekk0kAQPrLQc7n3rlz54RXQ6dFMplEOBzO65yGiEheZwSwvb2NR48ewbIseL3efE9Pp8z%2B/j6SySR6enpQWVmZ17ldCYTotOCHdCIFAyFSOBrIq1evEA6H0djYiI6OjsxvI/5raWkJzc3NaGxsxPXr15FKpZxcFhWgoaEh1NbWwjRNvHjx4qfj8r5XxEFXrlyRaDQqIiLz8/PS3t7%2Bw5hUKiXnzp2TRCIhIiIDAwMyMjLi5LKoAD1%2B/Fjev38vtbW18vz58/8d48ZecSyQra0tKS8vl3Q6nTkWCATk9evXWePm5uakt7c383x9fV1qamqcWhYVOMuyfhqIG3vFsbdYb9%2B%2BRXV1NczvbgSGQiHYtp01zrZtnD9/PvPcsix8/Pjxl24u0e/Njb3CD%2BlECscCCQaD%2BPDhQ1bdtm0jFApljQuFQpk76wDw5s2bH155iAB39opjV/b7/Whra8Ps7CwAYH5%2BHsFgEHV1dVnjrl69itXVVSQSCQDAw4cPcePGDaeWRaeYK3vFyQ84L1%2B%2BlM7OTrlw4YK0t7fL2tqaiIiMjY3J9PR0Ztzi4qI0NTVJQ0ODXLt2TXZ3d51cFhWg/v5%2BqampEY/HI4FAQBoaGkTE/b3Cr5oQKfhGn0jBQIgUDIRIwUCIFAyESMFAiBQMhHLy%2BfNn3L9/H729vTh79ixM00Q0Gj3WNVdWVhCJRFBdXY3S0lK0tLTgwYMHBfF9PAZCOdne3sb4%2BDg2NjbQ2toKwzCOdb2nT58iHA7Dtm3cvXsXk5OTqK%2Bvx9DQEIaHh09o1cfg6G1I%2Bu0cHBzI5uamiIg8efJEDMOQmZmZX75eX1%2BfFBcXy87OTtbx7u5uqaioONZaTwJfQSgnHo8HVVVVRxq7vLyMS5cuoaSkBGVlZYhEIlhfX88as7e3h%2BLiYpSXl2cdDwQCBfEfbxgIOWJ2dhaRSASlpaWYmJjA2NgY4vE4urq6sv4m6PLly9jd3cWtW7ewsbEB27YxNTWFhYUF3Lt3z8Wf4Cu3X8Lo9PrZW6xUKiU%2Bn09u376ddXxra0sqKiqkv78/cyydTsvg4KAUFRWJYRhiGIZ4PJ6sLyi66R%2BC6o1wjjV7ZQAAAABJRU5ErkJggg%3D%3D\">\n",
+       "\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives5626572432776039023,#minihistogram5626572432776039023\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives5626572432776039023\">\n",
+       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
+       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles5626572432776039023\"\n",
+       "                                                  aria-controls=\"quantiles5626572432776039023\" role=\"tab\"\n",
+       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#histogram5626572432776039023\" aria-controls=\"histogram5626572432776039023\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#common5626572432776039023\" aria-controls=\"common5626572432776039023\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#extreme5626572432776039023\" aria-controls=\"extreme5626572432776039023\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
+       "\n",
+       "    </ul>\n",
+       "\n",
+       "    <div class=\"tab-content\">\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles5626572432776039023\">\n",
+       "            <div class=\"col-md-4 col-md-offset-1\">\n",
+       "                <p class=\"h4\">Quantile statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Minimum</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>5-th percentile</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q1</th>\n",
+       "                        <td>25300</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Median</th>\n",
+       "                        <td>50200</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q3</th>\n",
+       "                        <td>100000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>95-th percentile</th>\n",
+       "                        <td>267600</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Maximum</th>\n",
+       "                        <td>96792000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Range</th>\n",
+       "                        <td>96792000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Interquartile range</th>\n",
+       "                        <td>74700</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "            <div class=\"col-md-4 col-md-offset-2\">\n",
+       "                <p class=\"h4\">Descriptive statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Standard deviation</th>\n",
+       "                        <td>369410</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Coef of variation</th>\n",
+       "                        <td>3.6788</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Kurtosis</th>\n",
+       "                        <td>13821</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Mean</th>\n",
+       "                        <td>100420</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>MAD</th>\n",
+       "                        <td>90303</td>\n",
+       "                    </tr>\n",
+       "                    <tr class=\"alert\">\n",
+       "                        <th>Skewness</th>\n",
+       "                        <td>73.643</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Sum</th>\n",
+       "                        <td>42955000000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Variance</th>\n",
+       "                        <td>136470000000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Memory size</th>\n",
+       "                        <td>3.3 MiB</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram5626572432776039023\">\n",
+       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtUVOe9P/73DAPOOCDK4GUgxEZlatBEFOX0qFFKICAq/mxgFCNUY8SgCF4OmpKLnniwoqhYDYgtaSWIFkElxqoJVuOVRESWxojGJiZcJiYjDXIZrrN/f7jYX3cGvLQDFH2/1nIhz37vz/Ows1b8rL03z8gEQRBARERERFYj7%2BoFEBERET1u2GARERERWRkbLCIiIiIrY4NFREREZGVssIiIiIisjA0WERERkZWxwSIiIiKyMjZYRERERFbGBouIiIjIythgEREREVkZGywiIiIiK2ODRURERGRlbLCIiIiIrIwNFhEREZGVscEiIiIisjI2WERERERWxgaLiIiIyMrYYBERERFZGRssIiIiIitjg0VERERkZWywiIiIiKyMDRYRERGRlbHBIiIiIrIyNlhEREREVsYGi4iIiMjK2GARERERWRkbLCIiIiIrY4NFREREZGVssIiIiIisjA0WERERkZWxwSIiIiKysk5rsBISEiCXy/H8889LxufOnQu5XG7xx8PDo8066enp8PDwgEqlgk6nw7Zt29rMVVVVITIyEv369YO9vT18fX1x8eLFNrNnz57F%2BPHjoVarodVqERsbi9raWoucIAhYv349Bg0aBJVKhREjRmDPnj2PeCWIiIjocafojEnKy8vx%2B9//Hvb29m0eVyqVSE9PhyAI4pijo6NFLi0tDVFRUQgNDcXy5ctx6tQpxMTEwGQyIS4uTswJgoCgoCBcvnwZK1asgEajQUpKCnx8fFBUVITBgweL2eLiYvj5%2BcHDwwObN29GWVkZNmzYgBs3buDQoUOS%2BePj45GYmIgFCxZg9OjRyMvLw6xZsyCXy6HX6//dy0RERESPC6ETzJgxQ/Dz8xN8fHyE5557TnJszpw5goODwwNrmEwmwdnZWQgODpaMz549W3BwcBB%2B%2Buknceyvf/2rIJPJhH379oljP/74o9CnTx/hlVdekZw/adIkwdXVVaipqRHH/vSnPwlyuVz45JNPxLHy8nLBzs5OiImJkZw/YcIE4emnnxbMZvMDfwYiIiJ6MnT4I8KTJ09i3759SE5Ovm/ObDajurq63ePHjx9HZWUlFi5cKBlftGgRampqJHebcnNzMWDAAEyfPl0cc3Z2hl6vR15eHpqamgAA1dXVyM/PR3h4ONRqtZiNiIiAWq1Gdna2OHbgwAE0NzcjKipKMn9UVBTKyspw7ty5%2B/58RERE9OTo0AbLbDYjJiYG8%2BfPx7Bhw9rN1dXVoVevXnB0dIRGo0F0dLTFO1Ct7095eXlJxr28vCCXyyXvV128eBGjRo2ymMfb2xt1dXW4fv06AODy5ctobm62qGlrawtPT09JzeLiYqjVagwdOtSipiAI7b7fRURERE%2BeDn0HKzU1Fd999x3%2B/ve/t5txcXHBihUrMGrUKJjNZhw5cgQpKSm4dOkSTpw4Abn8bg9oMBhgY2MDZ2dnyfm2trbQaDSoqKgQxwwGAyZOnGgxl1arBQBUVFRg2LBhMBgMkMlk4vjPs6dPn5bU7N%2B//31rEhEREQEd2GBVVlZi1apVeOedd%2BDk5NRuLiEhQfK9Xq%2BHu7s73nrrLeTk5Igvj5tMJtjZ2bVZQ6lUwmQyid%2BbTCb06NGjzZwgCGK29Wt72YeteW8tIiIiog5rsN58803xcd%2BjWrp0Kd5%2B%2B23k5%2BeLDZZKpUJjY2Ob%2Bfr6eqhUKvF7lUqFhoaGNnMymUzMtn5tL/uwNe%2Bt1Raj0YijR4/iF7/4xX1zREREZD0mkwk3b95EQECAxROwjtYhDdaNGzfwxz/%2BEVu2bEF5eTmAu1sn1NfXo6mpCd9%2B%2By169eqFPn36tHm%2BUqmERqNBZWWlOKbVatHS0gKj0Si5SE1NTbh9%2BzZcXFwkWYPBYFG3daw1q9VqIQhCu9mf1zxx4sQDa7bl6NGjmD17drvHiYiIqONkZmbilVde6dQ5O6TBKi8vhyAIiImJweLFiy2ODxo0CLGxsdi0aVOb59fU1MBoNKJv377imKenJwRBQGFhIQIDA8Xx8%2BfPw2w2w9PTU5K99/2pVgUFBejZsyd0Oh0AYPjw4VAoFCgsLERISIiYa2pqQnFxMWbMmCGpmZ6ejpKSEsmL7gUFBZDJZJL5f%2B4Xv/gFgLv/gZ999tl2c9Rxli5dis2bN3f1Mp5YvP5di9e/a/H6d52rV69i9uzZ4r/DnalDGqzhw4dj//79FuNvvvkmampq8Ic//AGDBg1CQ0MDmpqaLDYgfffddwEAkyZNEsd8fX3h5OSE1NRUSYOVmpoKtVqNyZMni2MhISHIzc3Fvn378Jvf/AbA3cd0OTk5CA4Ohq2tLQCgV69e8PPzQ2ZmJt5%2B%2B21xq4aMjAzU1tZKNg%2BdNm0ali5dipSUFPzhD38Qx7dv3w5XV1eMHTu23evR%2Bljw2WefbfO3G6njOTo68tp3IV7/rsXr37V4/bteV7ye0yENlkajQXBwsMX45s2bIZPJMHXqVADAt99%2Bi5EjRyIsLEy8K3TkyBEcPnwYQUFBkhpKpRJr1qxBdHQ09Ho9AgICcPLkSWRlZWHt2rXo3bu3mA0JCUFycjLmzp2LK1euwNnZGSkpKTCbzVi9erVkTQkJCRg3bhwmTJiAyMhIlJaWYtOmTQgICIC/v7%2BYc3V1xZIlS5CUlITGxkaMGTMG%2B/fvx5kzZ5CVlQWZTGbNS0hERETdWKd8VM697m1EevfujalTpyI/Px8ZGRloaWnBkCFDsG7dOixfvtzi3KioKNjZ2WHjxo04ePAg3NzckJycbPEYUi6X4/Dhw4iLi8PWrVthMpng7e2NjIwMuLu7S7IjR45Efn4%2BVq5ciWXLlsHBwQHz58/H2rVrLeZPTEyEk5MT0tLSsHPnTri7u2PXrl2SR4lEREREndpgHT9%2BXPK9o6Mjdu7c%2BUg15s2bh3nz5j0w5%2BjoiB07dmDHjh0PzI4dOxanTp16qPlXrlyJlStXPlSWiIiInkwd/lE5RP8JwsLCunoJTzRe/67F69%2B1eP2fTGyw6InA/8F1LV7/rsXr37V4/Z9MbLCIiIiIrIwNFhEREZGVscEiIiIisjI2WERERERWxgaLiIiIyMrYYBERERFZGRssIiIiIivr9I/KeZIFT/v/0EOp7OplPBKduztyc/aiZ8%2BeXb0UIiKiboMNVicy9XZHs7pPVy/joTVWG3Hk8N/w3XffiR/GTURERA/GBqsT9feejp4DhnT1Mh5aTekX%2BOeXn3b1MoiIiLodvoNFREREZGVssIiIiIisjA0WERERkZWxwSIiIiKyMjZYRERERFbGBouIiIjIythgEREREVkZGywiIiIiK2ODRURERGRlbLCIiIiIrKzTGqyEhATI5XI8//zzFsdKSkoQGBgIBwcHaDQaREREwGg0tlknPT0dHh4eUKlU0Ol02LZtW5u5qqoqREZGol%2B/frC3t4evry8uXrzYZvbs2bMYP3481Go1tFotYmNjUVtba5ETBAHr16/HoEGDoFKpMGLECOzZs%2BcRrgIRERE9CTqlwSovL8fvf/972Nvbt3nshRdewNdff41169YhLi4Ohw4dwksvvYTm5mZJNi0tDfPnz8dzzz2Hbdu2YezYsYiJicGGDRskOUEQEBQUhD179ojHf/zxR/j4%2BOAf//iHJFtcXAw/Pz/U19dj8%2BbNmD9/Pnbs2AG9Xm%2Bx1vj4eLzxxhsICAjAtm3bMHDgQMyaNQvZ2dlWuEpERET0uOiUD3tevnw5/vu//xvNzc24ffu25FhCQgJMJhOKi4vh6uoKABgzZgz8/f3xl7/8Ba%2B99hoAoL6%2BHm%2B99RamTp2Kv/71rwCAefPmoaWlBWvWrEFkZCQcHR0BAHv37sW5c%2BeQm5uL6dOnAwBCQ0Oh0%2BmwatUqZGZmivPHx8fDyckJn376KdRqNQBg4MCBiIyMRH5%2BPvz8/AAAFRUV2LRpExYvXowtW7aI80%2BcOBFxcXEIDQ2FTCbrqEtIRERE3UiH38E6efIk9u3bh%2BTk5DaP79u3D1OmTBGbKwB48cUXodPpJHeGjh8/jsrKSixcuFBy/qJFi1BTU4NDhw6JY7m5uRgwYIDYXAGAs7Mz9Ho98vLy0NTUBACorq5Gfn4%2BwsPDxeYKACIiIqBWqyXzHzhwAM3NzYiKipLMHxUVhbKyMpw7d%2B5RLgsRERE9xjq0wTKbzYiJicH8%2BfMxbNgwi%2BMVFRX44YcfMHr0aItj3t7eknemWv/u5eUlyXl5eUEul1tkR40a1WbNuro6XL9%2BHQBw%2BfJlNDc3W9S0tbWFp6enpGZxcTHUajWGDh1qUVMQhHbf7yIiIqInT4c2WKmpqfjuu%2B%2BwZs2aNo8bDAYAgFartTim1WpRWVkp3m0yGAywsbGBs7OzJGdrawuNRoOKigpJ3fZqAhCzBoMBMpms3ezPa/bv3/%2BBNYmIiIg6rMGqrKzEqlWr8M4778DJyanNjMlkAgD06NHD4phSqZRkTCYT7Ozs2qyjVCrFXGu2vZqCIEhq3m/%2Bh615by0iIiKiDmuw3nzzTWg0GkRHR7ebUalUAICGhgaLY/X19ZKMSqVCY2Njm3Xq6%2BvFXGu2vZoymUxS837zP2zNe2sRERERdchvEd64cQN//OMfsWXLFpSXlwO4u3VCfX09mpqa8O2336JXr17i47XWR4X3MhgMcHJygq2tLYC7j%2BJaWlpgNBoljwmbmppw%2B/ZtuLi4iGNarbbdmgDErFarhSAI7WZ/XvPEiRMPrHk/pZ%2BkwUaplow5efjAaZjPA88lIiKi9u3evRu7d%2B%2BWjFVVVXXRajqowSovL4cgCIiJicHixYstjg8aNAixsbHYtGkT%2Bvbti8LCQovM559/Dk9PT/F7T09PCIKAwsJCBAYGiuPnz5%2BH2Wy2yJ4%2BfdqiZkFBAXr27AmdTgcAGD58OBQKBQoLCxESEiLmmpqaUFxcjBkzZkhqpqeno6SkRPKie0FBAWQymWT%2B9rj5L0DPAUMemCMiIqJHExYWhrCwMMlYUVGRxS%2BydZYOeUQ4fPhw7N%2B/H/v378eBAwfEP8OGDcPAgQNx4MABzJs3DwDw8ssv46OPPhLvdAHAsWPHcP36dclmn76%2BvnByckJqaqpkrtTUVKjVakyePFkcCwkJwa1bt7Bv3z5xzGg0IicnB8HBweJdsV69esHPzw%2BZmZmSndszMjJQW1srmX/atGlQKBRISUmRzL99%2B3a4urpi7Nix/84lIyIiosdIh9zB0mg0CA4OthjfvHkzZDIZpk6dKo7Fx8cjJycHPj4%2BiI2NRXV1NZKSkjBixAjMmTNHzCmVSqxZswbR0dHQ6/UICAjAyZMnkZWVhbVr16J3795iNiQkBMnJyZg7dy6uXLkCZ2dnpKSkwGw2Y/Xq1ZI1JSQkYNy4cZgwYQIiIyNRWlqKTZs2ISAgAP7%2B/mLO1dUVS5YsQVJSEhobGzFmzBjs378fZ86cQVZWFjcZJSIiIlGn7OR%2Br583Ik899RQ%2B/fRTLFu2DL/73e9gZ2eHKVOmICkpSbzT1CoqKgp2dnbYuHEjDh48CDc3NyQnJ1s8hpTL5Th8%2BDDi4uKwdetWmEwmeHt7IyMjA%2B7u7pLsyJEjkZ%2Bfj5UrV2LZsmVwcHDA/PnzsXbtWou1JyYmwsnJCWlpadi5cyfc3d2xa9cuyaNEIiIiIpkgCEJXL%2BJx1/oM%2BNlXt3ard7BqSr/AtQ/icPXqVYsNVomIiP7Ttf77e%2BHChTY3IO9InfJhz0RERERPEjZYRERERFbGBouIiIjIythgEREREVkZGywiIiIiK2ODRURERGRlbLCIiIiIrIwNFhEREZGVscEiIiIisjI2WERERERWxgaLiIiIyMrYYBERERFZGRssIiIiIitjg0VERERkZWywiIiIiKyMDRYRERGRlbHBIiIiIrIyNlhEREREVsYGi4iIiMjK2GARERERWRkbLCIiIiIr67AG68svv4Rer8fgwYOhVqvRt29fTJw4ER999JEkN3fuXMjlcos/Hh4ebdZNT0%2BHh4cHVCoVdDodtm3b1mauqqoKkZGR6NevH%2Bzt7eHr64uLFy%2B2mT179izGjx8PtVoNrVaL2NhY1NbWWuQEQcD69esxaNAgqFQqjBgxAnv27HnEK0NERESPO0VHFf72229RU1ODOXPmwMXFBXV1dcjNzUVwcDB27NiB1157TcwqlUqkp6dDEARxzNHR0aJmWloaoqKiEBoaiuXLl%2BPUqVOIiYmByWRCXFycmBMEAUFBQbh8%2BTJWrFgBjUaDlJQU%2BPj4oKioCIMHDxazxcXF8PPzg4eHBzZv3oyysjJs2LABN27cwKFDhyTzx8fHIzExEQsWLMDo0aORl5eHWbNmQS6XQ6/XW/PyERERUTcmE%2B7tajqYIAgYNWoUGhoa8OWXXwK4ewcrNzcXd%2B7cue%2B59fX1cHNzw9ixY5GXlyeOh4eHIy8vD6WlpWJTlp2djZkzZyI3NxfTp08HABiNRuh0OgQFBSEzM1M8PygoCJcuXcK1a9egVqsB3L1LFhkZiaNHj8LPzw8AUFFRgWeeeQavv/46tmzZIp4/ceJE3Lx5Ezdv3oRMJmtz7UVFRfDy8sKzr25FzwFDHvWydZma0i9w7YM4XL16FUOHDu3q5RARET2S1n9/L1y4gFGjRnXq3J36DpZMJoObmxt%2B%2Bukni2NmsxnV1dXtnnv8%2BHFUVlZi4cKFkvFFixahpqZGcrcpNzcXAwYMEJsrAHB2doZer0deXh6ampoAANXV1cjPz0d4eLjYXAFAREQE1Go1srOzxbEDBw6gubkZUVFRkvmjoqJQVlaGc%2BfOPeRVICIiosddhzdYdXV1uH37Nr7%2B%2Bmts3rwZhw8fFu8K3Zvp1asXHB0dodFoEB0dbfEOVOv7U15eXpJxLy8vyOVyyftVFy9ebLNT9fb2Rl1dHa5fvw4AuHz5Mpqbmy1q2trawtPTU1KzuLgYarXa4k6Ot7c3BEFo9/0uIiIievJ02DtYrZYvX460tDQAgFwux8svv4ytW7eKx11cXLBixQqMGjUKZrMZR44cQUpKCi5duoQTJ05ALr/bAxoMBtjY2MDZ2VlS39bWFhqNBhUVFeKYwWDAxIkTLdai1WoB3H3cN2zYMBgMBshkMnH859nTp09Lavbv3/%2B%2BNYmIiIiATmiwli5ditDQUFRUVCA7OxstLS1oaGgQjyckJEjyer0e7u7ueOutt5CTkyO%2BPG4ymWBnZ9fmHEqlEiaTSfzeZDKhR48ebeYEQRCzrV/byz5szXtrEREREXX4I0KdTgdfX1/Mnj0bH374IaqrqxEcHHzfc5YuXQqZTIb8/HxxTKVSobGxsc18fX09VCqVJHtvE3dvTiaTidnWr%2B1lH7bmvbWIiIiIOvwO1s%2BFhITg9ddfx1dffQV3d/c2M0qlEhqNBpWVleKYVqtFS0sLjEaj5DFhU1MTbt%2B%2BDRcXF0nWYDBY1G0da81qtVoIgtBu9uc1T5w48cCa91P6SRpslGrJmJOHD5yG%2BTzwXCIiImrf7t27sXv3bslYVVVVF62mCxqs1kdp9/uha2pqYDQa0bdvX3HM09MTgiCgsLAQgYGB4vj58%2BdhNpvh6ekpyd77/lSrgoIC9OzZEzqdDgAwfPhwKBQKFBYWIiQkRMw1NTWhuLgYM2bMkNRMT09HSUmJ5EX3goICyGQyyfztcfNf0K22aSAiIuouwsLCEBYWJhlr3aahK3TYI8Iff/zRYqy5uRk7d%2B6ESqWCh4cHGhoaUFNTY5F79913AQCTJk0Sx3x9feHk5ITU1FRJNjU1FWq1GpMnTxbHQkJCcOvWLezbt08cMxqNyMnJQXBwMGxtbQEAvXr1gp%2BfHzIzMyW/tZiRkYHa2lrJ5qHTpk2DQqFASkqKZP7t27fD1dUVY8eOfajrQkRERI%2B/DruDtWDBAty5cwcTJkyAq6srvv/%2Be%2BzatQvXrl3Dpk2b0LNnT3z77bcYOXIkwsLCxLtCR44cweHDhxEUFCR5V0upVGLNmjWIjo6GXq9HQEAATp48iaysLKxduxa9e/cWsyEhIUhOTsbcuXNx5coVODs7IyUlBWazGatXr5asMyEhAePGjcOECRMQGRmJ0tJSbNq0CQEBAfD39xdzrq6uWLJkCZKSktDY2IgxY8Zg//79OHPmDLKystrdZJSIiIiePB3WYM2cORPp6enYvn07bt%2B%2BDQcHB3h5eWHDhg3i3abevXtj6tSpyM/PR0ZGBlpaWjBkyBCsW7cOy5cvt6gZFRUFOzs7bNy4EQcPHoSbmxuSk5OxePFiSU4ul%2BPw4cOIi4vD1q1bYTKZ4O3tjYyMDIv3vkaOHIn8/HysXLkSy5Ytg4ODA%2BbPn4%2B1a9dazJ%2BYmAgnJyekpaVh586dcHd3x65duySPEomIiIg69aNynlT8qBwiIqLO98R8VA4RERHRk4ANFhEREZGVscEiIiIisjI2WERERERWxgaLiIiIyMrYYBERERFZGRssIiIiIitjg0VERERkZWywiIiIiKyMDRYRERGRlbHBIiIiIrIyNlhEREREVsYGi4iIiMjK2GARERERWRkbLCIiIiIrY4NFREREZGVssIiIiIisjA0WERERkZWxwSIiIiKyMjZYRERERFbGBouIiIjIythgEREREVlZhzVYX375JfR6PQYPHgy1Wo2%2Bffti4sSJ%2BOijjyyyJSUlCAwMhIODAzQaDSIiImA0Gtusm56eDg8PD6hUKuh0Omzbtq3NXFVVFSIjI9GvXz/Y29vD19cXFy9ebDN79uxZjB8/Hmq1GlqtFrGxsaitrbXICYKA9evXY9CgQVCpVBgxYgT27NnzCFeFiIiIngQd1mB9%2B%2B23qKmpwZw5c/CHP/wB77zzDmQyGYKDg/GnP/1JzJWXl%2BOFF17A119/jXXr1iEuLg6HDh3CSy%2B9hObmZknNtLQ0zJ8/H8899xy2bduGsWPHIiYmBhs2bJDkBEFAUFAQ9uzZIx7/8ccf4ePjg3/84x%2BSbHFxMfz8/FBfX4/Nmzdj/vz52LFjB/R6vcXPFB8fjzfeeAMBAQHYtm0bBg4ciFmzZiE7O9uKV46IiIi6O5kgCEJnTSYIAkaNGoWGhgZ8%2BeWXAICFCxciIyMD165dg6urKwDg2LFj8Pf3x44dO/Daa68BAOrr6%2BHm5oaxY8ciLy9PrBkeHo68vDyUlpbC0dERAJCdnY2ZM2ciNzcX06dPBwAYjUbodDoEBQUhMzNTPD8oKAiXLl3CtWvXoFarAdy9SxYZGYmjR4/Cz88PAFBRUYFnnnkGr7/%2BOrZs2SKeP3HiRNy8eRM3b96ETCZr8%2BcuKiqCl5cXnn11K3oOGGKVa9kZakq/wLUP4nD16lUMHTq0q5dDRET0SFr//b1w4QJGjRrVqXN36jtYMpkMbm5u%2BOmnn8Sxffv2YcqUKWJzBQAvvvgidDqd5M7Q8ePHUVlZiYULF0pqLlq0CDU1NTh06JA4lpubiwEDBojNFQA4OztDr9cjLy8PTU1NAIDq6mrk5%2BcjPDxcbK4AICIiAmq1WjL/gQMH0NzcjKioKMn8UVFRKCsrw7lz5/7Vy0JERESPmQ5vsOrq6nD79m18/fXX2Lx5Mw4fPiy5K/TDDz9g9OjRFud5e3tL3plq/buXl5ck5%2BXlBblcbpFtq1P19vZGXV0drl%2B/DgC4fPkympubLWra2trC09NTUrO4uBhqtdriTo63tzcEQWj3/S4iIiJ68nR4g7V8%2BXL07dsXQ4YMQVxcHH7zm99g69atAACDwQAA0Gq1FudptVpUVlaKd5sMBgNsbGzg7Owsydna2kKj0aCiokIcMxgM7dYEIGYNBgNkMlm72Z/X7N%2B//wNrEhERESk6eoKlS5ciNDQUFRUVyM7ORktLCxoaGgAAJpMJANCjRw%2BL85RKpZixtbWFyWSCnZ1dm3MolUqxVus57dUUBEHMPmj%2Bh615by0iIiKiDr%2BDpdPp4Ovri9mzZ%2BPDDz9EdXU1goODAQAqlQoAxIbrXvX19ZKMSqVCY2Njm3PU19eLudZsezVlMpmk5v3mf9ia99YiIiIi6vA7WD8XEhKC119/HV999ZX4eK31UeG9DAYDnJycYGtrC%2BDuo7iWlhYYjUbJY8Kmpibcvn0bLi4u4phWq223JgAxq9VqIQhCu9mf1zxx4sQDa95P6SdpsFGqJWNOHj5wGubzwHOJiIiofbt378bu3bslY1VVVV20mi5osFofpVVVVcHd3R19%2B/ZFYWGhRe7zzz%2BHp6en%2BL2npycEQUBhYSECAwPF8fPnz8NsNltkT58%2BbVGzoKAAPXv2hE6nAwAMHz4cCoUChYWFCAkJEXNNTU0oLi7GjBkzJDXT09NRUlIiedG9oKAAMplMMn973PwXdKttGoiIiLqLsLAwhIWFScZat2noCh32iPDHH3%2B0GGtubsbOnTuhUqng4eEBAHj55Zfx0Ucfoby8XMwdO3YM169fl2z26evrCycnJ6SmpkpqpqamQq1WY/LkyeJYSEgIbt26hX379oljRqMROTk5CA4OFu%2BK9erVC35%2BfsjMzJTs3J6RkYHa2lrJ/NOmTYNCoUBKSopk/u3bt8PV1RVjx459pOtDREREj68Ou4O1YMEC3LlzBxMmTICrqyu%2B//577Nq1C9euXcOmTZvQs2dPAHd3R8/JyYGPjw9iY2NRXV2NpKQkjBgxAnPmzBHrKZVKrFmzBtHR0dDr9QgICMDJkyeRlZWFtWvXonfv3mI2JCQEycnJmDt3Lq5cuQJnZ2ekpKTAbDZj9erVknUmJCRg3LhxmDBhAiIjI1FaWopNmzYhICAA/v7%2BYs7V1RVLlixBUlISGhsbMWbMGOzfvx9nzpxBVlZWu5uMEhER0ZOnwxqsmTNnIj09Hdu3b8ft27fh4OAALy8vbNiwQXK36amnnsKnn36KZcuW4Xe/%2Bx3s7OwwZcoUJCUliXeaWkVFRcHOzg4bN27EwYMH4ebmhuTkZCxevFiSk8u%2Bi6j1AAAgAElEQVTlOHz4MOLi4rB161aYTCZ4e3sjIyMD7u7ukuzIkSORn5%2BPlStXYtmyZXBwcMD8%2BfOxdu1ai58pMTERTk5OSEtLw86dO%2BHu7o5du3ZJHiUSERERdepH5Typ%2BFE5REREne%2BJ%2BagcIiIioicBGywiIiIiK2ODRURERGRlbLCIiIiIrIwNFhEREZGVscEiIiIisjI2WERERERWJp86dSqys7PR0NDQ1WshIiIieizIv/zyS8ycORP9%2B/fHvHnzcOLEia5eExEREVG3Jv/HP/6BM2fO4JVXXsHBgwfx4osv4umnn8bvfvc7fPHFF129PiIiIqJuRw4A//3f/4333nsPBoMBH374IcaNG4etW7dixIgR8PT0xKZNm2AwGLp6rURERETdguQldxsbG0yePBm7d%2B9GWVkZQkJCcOnSJcTFxeHpp59GYGAgjh492lVrJSIiIuoWLH6LsKCgANHR0dDpdNi7dy%2BeffZZJCQkYN26dSgtLUVQUBD%2B93//tyvWSkRERNQtKADg%2BvXryMzMRFZWFr755hs4OzsjLCwM4eHhGD16tBhevnw55s2bh61bt2LVqlVdtmgiIiKi/2SK0aNH4%2BLFi7Czs8OUKVOwefNmTJo0CQqFos0T/Pz88Oc//7mTl0lERETUfSiUSiVSUlIwY8YM9O7d%2B4EnBAcH46uvvuqEpRERERF1T4rTp08/0glqtRqDBw/uoOUQERERdX/y4uJipKWltRvYsWMHLl261IlLIiIiIure5PHx8Th8%2BHC7gaNHj%2BLNN9/sxCURERERdW/ywsJCTJgwod3ACy%2B8gPPnz3fikoiIiIi6N3l1dTXs7OzaDdjY2KCqqqoTl0RERETUvcnd3d3xySeftBv4%2BOOP8cwzzzxy4cLCQkRHR2P48OGwt7fHwIEDMWPGDIvfQJw7dy7kcrnFHw8Pjzbrpqenw8PDAyqVCjqdDtu2bWszV1VVhcjISPTr1w/29vbw9fXFxYsX28yePXsW48ePh1qthlarRWxsLGpray1ygiBg/fr1GDRoEFQqFUaMGIE9e/Y84pUhIiKix51i7ty5WL58OVasWIG3334bDg4OAIA7d%2B5gzZo1%2BNvf/obExMRHLpyYmIizZ88iNDQUzz//PL7//nts3boVo0aNwmeffSZpoJRKJdLT0yEIgjjm6OhoUTMtLQ1RUVEIDQ3F8uXLcerUKcTExMBkMiEuLk7MCYKAoKAgXL58GStWrIBGo0FKSgp8fHxQVFQk%2BS3I4uJi%2BPn5wcPDA5s3b0ZZWRk2bNiAGzdu4NChQ5L54%2BPjkZiYiAULFmD06NHIy8vDrFmzIJfLodfrH/kaERER0eNJZjabhYiICOzatQsKhQJPPfUUAKCsrAzNzc0ICwtDZmYmZDLZIxUuKCjA6NGjJRuW3rhxA8899xxCQ0ORkZEB4O4drNzcXNy5c%2Be%2B9err6%2BHm5oaxY8ciLy9PHA8PD0deXh5KS0vFpiw7OxszZ85Ebm4upk%2BfDgAwGo3Q6XQICgpCZmameH5QUBAuXbqEa9euQa1WA7h7lywyMhJHjx6Fn58fAKCiogLPPPMMXn/9dWzZskU8f%2BLEibh58yZu3rzZ7jUqKiqCl5cXnn11K3oOGPLQ17Cr1ZR%2BgWsfxOHq1asYOnRoVy%2BHiIjokbT%2B%2B3vhwgWMGjWqU%2BeWy2QyfPDBBzh69CheffVVDBkyBEOGDMG8efPw8ccfY9euXY/cXAHAr371K4vd4IcMGYJhw4bh6tWrFnmz2Yzq6up26x0/fhyVlZVYuHChZHzRokWoqamR3G3Kzc3FgAEDxOYKAJydnaHX65GXl4empiYAQHV1NfLz8xEeHi42VwAQEREBtVqN7OxscezAgQNobm5GVFSUZP6oqCiUlZXh3Llz97scRERE9AQRP%2BzZ398f27dvx8cff4yPP/4Yqamp4t0ba7p16xacnZ0lY3V1dejVqxccHR2h0WgQHR1t8Q5U6/tTXl5eknEvLy/I5XLJ%2B1UXL15ss1P19vZGXV0drl%2B/DgC4fPkympubLWra2trC09NTUrO4uBhqtdriTo63tzcEQWj3/S4iIiJ68sgfHLGezMxMlJeXY%2BbMmeKYi4sLVqxYgb/85S/Ys2cPpk2bhpSUFEyaNAlms1nMGQwG2NjYWDRntra20Gg0qKiokGS1Wq3F/K1jrVmDwQCZTNZu9uc1%2B/fv/8CaRERERArg7jtH6enp%2BPrrr/HPf/5T8rI5AMhkMjQ0NPxbE5WUlCA6Ohrjxo1DRESEOJ6QkCDJ6fV6uLu746233kJOTo748rjJZGp3OwmlUgmTySR%2BbzKZ0KNHjzZzgiCI2dav7WUftua9tYiIiIgUb7zxBjZs2IDnnnsOISEh6NOnj9UnuXXrFiZPnow%2Bffpg7969D3yna%2BnSpXj77beRn58vNlgqlQqNjY1t5uvr66FSqcTvVSpVmw1hfX09ZDKZmG392l72YWveW4uIiIhI8f7772P69OnIycnpkAnu3LmDwMBA3LlzB6dPn8aAAQMeeI5SqYRGo0FlZaU4ptVq0dLSAqPRKHlM2NTUhNu3b8PFxUWSNRgMFnVbx1qzWq0WgiC0m/15zRMnTjyw5v2UfpIGG6VaMubk4QOnYT4PPJeIiIjat3v3buzevVsy1pUbpStMJhNeeumlDine0NCAKVOm4MaNGzh27Bh%2B%2BctfPtR5NTU1MBqN6Nu3rzjm6ekJQRBQWFiIwMBAcfz8%2BfMwm83w9PSUZE%2BfPm1Rt6CgAD179oROpwMADB8%2BHAqFAoWFhQgJCRFzTU1NKC4uxowZMyQ109PTUVJSInnRvaCgADKZTDJ/e9z8F3SrbRqIiIi6i7CwMISFhUnGWrdp6AryX//617hw4YLVC5vNZuj1enz22WfIycmBt7e3RaahoQE1NTUW4%2B%2B%2B%2By4AYNKkSeKYr68vnJyckJqaKsmmpqZCrVZj8uTJ4lhISAhu3bqFffv2iWNGoxE5OTkIDg6Gra0tAKBXr17w8/NDZmam5LcWMzIyUFtbK9k8dNq0aVAoFEhJSZHMv337dri6umLs2LEPdV2IiIjo8adISUnBSy%2B9hPXr1yMyMhK9e/e2SuFly5bh4MGDCA4OhtFoxK5duyTHX3nlFXz//fcYOXIkwsLCxLtCR44cweHDhxEUFITg4GAxr1QqsWbNGkRHR0Ov1yMgIAAnT55EVlYW1q5dK1l3SEgIkpOTMXfuXFy5cgXOzs5ISUmB2WzG6tWrJetISEjAuHHjMGHCBERGRqK0tBSbNm1CQEAA/P39xZyrqyuWLFmCpKQkNDY2YsyYMdi/fz/OnDmDrKysf2mvMCIiIno8yXr37i00Nzejrq4OAGBvbw8bGxtpSCbD7du3H6nwr3/9a5w8ebLd4y0tLaiqqkJMTAwKCgpQUVGBlpYWDBkyBLNnz8by5cst1gHc/Y3HjRs34ptvvoGbmxsWL16MxYsXW%2BSqqqoQFxeHAwcOwGQywdvbG0lJSRg5cqRF9uzZs1i5ciWKiorg4OCAGTNmYO3atZLNR1slJiYiLS0NBoMB7u7uiI%2BPl2w70Rbu5E5ERNT5unInd9krr7wiPMzdlw8%2B%2BKATlvN4YoNFRETU%2BbqywVLc%2B7l8RERERPTv69Sd3ImIiIieBHIAKCsrQ3R0NIYNG4a%2Bffvi1KlTAO7%2B5t2yZctQXFzcpYskIiIi6k4UJSUleOGFF9DU1IQxY8agpKQETU1NAABnZ2ccP34cd%2B7cwZ/%2B9KcuXioRERFR96BYsWIF7O3tUVBQABsbG/Tr108SmDx5Mvbu3dtFyyMiIiLqfuSffvopFi5ciP79%2B7e5l9PAgQNRXl7eBUsjIiIi6p7kLS0tbe731MpoNIo7nxMRERHRg8lHjhyJI0eOtHmwpaUFe/bswX/913918rKIiIiIui/5G2%2B8gUOHDmHx4sUoKSkBcPeu1YkTJxAYGIgvv/wSb7zxRhcvk4iIiKj7UEyePBnp6elYsmSJ%2BEHGrZ9GbW9vj/fffx8%2BPj5duEQiIiKi7kUBAHPmzMHLL7%2BMI0eO4MaNGzCbzRg8eDAmTZoER0fHrl4jERERUbeiaP2Lg4MDQkNDu3ItRERERI8FRUVFxUMFXVxcOngpRERERI8HxVNPPdXm/lc/19LS0gnLISIiIur%2BFDt27LBosFpaWnDz5k188MEH0Gq1WLBgQRctj4iIiKj7Ubz22mvtHoyPj4e3tzfq6%2Bs7cUlERERE3Zv8fgft7e3x6quvYuPGjZ21HiIiIqJu774NViuDwdDR6yAiIiJ6bCjaO1BXV4eTJ08iKSkJnp6enbkmIiIiom5NYWtr2%2BZvEba0tEAQBLi6uuK9997rgqURERERdU%2BKlStXWjRYMpkMffr0EXdzt7W17aLlEREREXU/iv/7v//r6jUQERERPVYe6iX3f0VhYSGio6MxfPhw2NvbY%2BDAgZgxYwa%2B%2Buori2xJSQkCAwPh4OAAjUaDiIgIGI3GNuump6fDw8MDKpUKOp0O27ZtazNXVVWFyMhI9OvXD/b29vD19cXFixfbzJ49exbjx4%2BHWq2GVqtFbGwsamtrLXKCIGD9%2BvUYNGgQVCoVRowYgT179jzCVSEiIqIngSIyMvKRT5LJZEhLS7tvJjExEWfPnkVoaCief/55fP/999i6dStGjRqFzz77DB4eHgCA8vJyvPDCC%2BjTpw/WrVuH6upqbNiwAV988QU%2B//xzKBT/7z38tLQ0REVFITQ0FMuXL8epU6cQExMDk8mEuLg4MScIAoKCgnD58mWsWLECGo0GKSkp8PHxQVFREQYPHixmi4uL4efnBw8PD2zevBllZWXYsGEDbty4gUOHDkl%2Bpvj4eCQmJmLBggUYPXo08vLyMGvWLMjlcuj1%2Bke%2BjkRERPR4kj311FOCyWRCZWUlgLsf%2BgwA1dXVAAAnJyeoVCrpSTIZvvvuu/sWLigowOjRoyUN0o0bN/Dcc88hNDQUGRkZAICFCxciIyMD165dg6urKwDg2LFj8Pf3x44dO9C6EWp9fT3c3NwwduxY5OXliTXDw8ORl5eH0tJSODo6AgCys7Mxc%2BZM5ObmYvr06QAAo9EInU6HoKAgZGZmiucHBQXh0qVLuHbtGtRqNYC7d8kiIyNx9OhR%2BPn5AQAqKirwzDPP4PXXX8eWLVvE8ydOnIibN2/i5s2b7X7kUFFREby8vPDsq1vRc8CQ%2B163/yQ1pV/g2gdxuHr1KoYOHdrVyyEiInokrf/%2BXrhwAaNGjerUueWffPIJevbsiRUrVqCiogJVVVWoqqpCRUUF4uLioFarkZ%2Bfj9LSUvHPg5orAPjVr34laa4AYMiQIRg2bBiuXr0qju3btw9TpkwRmysAePHFF6HT6ZCdnS2OHT9%2BHJWVlVi4cKGk5qJFi1BTUyO525Sbm4sBAwaIzRUAODs7Q6/XIy8vD01NTQDuNpH5%2BfkIDw8XmysAiIiIgFqtlsx/4MABNDc3IyoqSjJ/VFQUysrKcO7cuQdeEyIiInoyyKOjo%2BHv749169ZhwIAB4oEBAwYgMTERfn5%2BiI6OttqEt27dgrOzM4C7d4V%2B%2BOEHjB492iLn7e0teWeq9e9eXl6SnJeXF%2BRyuUW2rU7V29sbdXV1uH79OgDg8uXLaG5utqhpa2sLT09PSc3i4mKo1WqLOzne3t4QBKHd97uIiIjoySNvfZTXntGjR1vt7kxmZibKy8sxc%2BZMAP9vh3itVmuR1Wq1qKysFO82GQwG2NjYiM1ZK1tbW2g0GlRUVIhjBoOh3ZoAxKzBYIBMJms3%2B/Oa/fv3f2BNIiIiInnv3r1x9OjRdgOHDx8W3236d5SUlCA6Ohrjxo1DREQEAMBkMgEAevToYZFXKpWSjMlkgp2dXZu1lUqlmGvNtldTEARJzfvN/7A1761FREREJI%2BMjMSHH36Il19%2BGSdOnEBZWRnKyspw/Phx/OY3v8GhQ4ewYMGCf2uSW7duYfLkyejTpw/27t0rvgze%2BvJ8Q0ODxTn19fWSjEqlQmNjY5v16%2BvrJS/iq1SqdmvKZDJJzfvN/7A1761FREREpHj77bdhMpmwceNGHDhwQHLQxsYG//M//4N33nnnX57gzp07CAwMxJ07d3D69GnJe16tj9fa%2BjBpg8EAJycncRd5rVaLlpYWGI1GyWPCpqYm3L59Gy4uLpK67dUEIGa1Wi0EQWg3%2B/OaJ06ceGDN%2Byn9JA02SrVkzMnDB07DfB54LhEREbVv9%2B7d2L17t2Ssqqqqi1YDKGQyGX7/%2B99j6dKlOHr0qPgbggMHDoS/v3%2Bb7x09rIaGBkyZMgU3btzAsWPH8Mtf/lJy3MXFBX379kVhYaHFuZ9//rnkQ6Y9PT0hCAIKCwsRGBgojp8/fx5ms9kie/r0aYuaBQUF6NmzJ3Q6HQBg%2BPDhUCgUKCwsREhIiJhrampCcXExZsyYIamZnp6OkpISyYvuBQUFkMlkD/WB2G7%2BC7rVNg1ERETdRVhYGMLCwiRjrds0dAVxJ/d%2B/fohPDwcb775Jt58803Mnj3732quzGYz9Ho9PvvsM%2BTk5MDb27vN3Msvv4yPPvoI5eXl4tixY8dw/fp1yeadvr6%2BcHJyQmpqquT81NRUqNVqTJ48WRwLCQnBrVu3sG/fPnHMaDQiJycHwcHB4l2xXr16wc/PD5mZmZKd2zMyMlBbWyuZf9q0aVAoFEhJSZHMv337dri6umLs2LGPcnmIiIjoMaYA7jZD%2B/btw/Hjx/HDDz9g1apVGD58OO7cuYMTJ07gV7/6Ffr16/dIhZctW4aDBw8iODgYRqMRu3btkhx/5ZVXANzdHT0nJwc%2BPj6IjY1FdXU1kpKSMGLECMyZM0fMK5VKrFmzBtHR0dDr9QgICMDJkyeRlZWFtWvXonfv3mI2JCQEycnJmDt3Lq5cuQJnZ2ekpKTAbDZj9erVknUkJCRg3LhxmDBhAiIjI1FaWopNmzYhICAA/v7%2BYs7V1RVLlixBUlISGhsbMWbMGOzfvx9nzpxBVlZWu5uMEhER0ZNHVlVVJUyaNAnnzp2DSqVCfX09PvnkE/j6%2BqK5uRkDBw7EnDlzkJCQ8EiFf/3rX%2BPkyZPtHm9paRH/fvXqVSxbtgynT5%2BGnZ0dpkyZgqSkJPTt29fivPT0dGzcuBHffPMN3NzcsHjxYixevNgiV1VVhbi4OBw4cAAmkwne3t5ISkrCyJEjLbJnz57FypUrUVRUBAcHB8yYMQNr166VbD7aKjExEWlpaTAYDHB3d0d8fLy47UR7uJM7ERFR5%2BvKndxlUVFRQkZGBvbu3YvRo0ejf//%2ByM/Ph6%2BvLwAgNjYWJ0%2Be5Eaa/wY2WERERJ2vSz8qZ//%2B/Vi8eDEmTZoEuVxuEdDpdLh582anLoqIiIioO5P/85//xKBBg9oNNDc3i7upExEREdGDyQcPHnzfx3/5%2Bfl49tlnO3FJRERERN2bfN68eXj//feRm5srDspkMjQ1NWHVqlX429/%2BhsjIyC5cIhEREVH3oli6dCkuX76M0NBQaDQaAEB4eDiMRiMaGxsxb948zJ8/v4uXSURERNR9KGQyGf785z/jt7/9LXJycvDVV1/BbDZj8ODB0Ov14m8TEhEREdHDUfztb3/D008/DR8fH/j4%2BHT1eoiIiIi6Pfn06dNx6tSprl4HERER0WNDPmTIEFRWVnb1OoiIiIgeG/I33ngD7733Hm7cuNHVayEiIiJ6LCguXryIPn36wMPDAy%2B%2B%2BCJ%2B8YtfQKVSSUIymQwbN27soiUSERERdS%2BK5ORk8ZujR4%2B2GWKDRURERPTwFPwYHCIiIiLrUtjY2HT1GoiIiIgeK3IAuH37NmxsbPD3v/%2B9q9dDRERE1O3JW/8iCEJXroOIiIjosSF/cISIiIiIHgUbLCIiIiIrUxQVFaGqqgoA8NVXX6F3795tBkeNGtWZ6yIiIiLqthRjxowRv1m4cKFFQBAEyGQytLS0dOa6iIiIiLotxfvvv9/VayAiIiJ6rMh/%2B9vf4mH%2B/Ctqa2uxatUqTJo0CRqNBnK5HBkZGRa5uXPnQi6XW/zx8PBos256ejo8PDygUqmg0%2Bmwbdu2NnNVVVWIjIxEv379YG9vD19fX1y8eLHN7NmzZzF%2B/Hio1WpotVrExsaitrbWIicIAtavX49BgwZBpVJhxIgR2LNnzyNcFSIiInrcKTqyuNFoxJo1azBw4EB4enrixIkT7WaVSiXS09Ml20U4Ojpa5NLS0hAVFYXQ0FAsX74cp06dQkxMDEwmE%2BLi4sScIAgICgrC5cuXsWLFCmg0GqSkpMDHxwdFRUUYPHiwmC0uLoafnx88PDywefNmlJWVYcOGDbhx4wYOHTokmT8%2BPh6JiYlYsGABRo8ejby8PMyaNQtyuRx6vf7fuFpERET0uOjQBsvFxQXff/89%2BvXrhwsXLuDe970sFqJQICws7L716uvr8dZbb2Hq1Kn461//CgCYN28eWlpasGbNGkRGRopN2d69e3Hu3Dnk5uZi%2BvTpAIDQ0FDodDqsWrUKmZmZYt34%2BHg4OTnh008/hVqtBgAMHDgQkZGRyM/Ph5%2BfHwCgoqICmzZtwuLFi7FlyxZx/okTJyIuLg6hoaGQyWT/4tUiIiKix0WHbtNga2uLfv36PXTebDajurq63ePHjx9HZWWlxcv4ixYtQk1NjeRuU25uLgYMGCA2VwDg7OwMvV6PvLw8tH4GY3V1NfLz8xEeHi42VwAQEREBtVqN7OxscezAgQNobm5GVFSUZP6oqCiUlZXh3LlzD/2zEhER0ePrP2YfrLq6OvTq1QuOjo7QaDSIjo62eAeq9f0pLy8vybiXlxfkcrnk/aqLFy%2B2ubWEt7c36urqcP36dQDA5cuX0dzcbFHT1tYWnp6ekprFxcVQq9UYOnSoRU1BENp9v4uIiIieLP8RDZaLiwtWrFiBv/zlL9izZw%2BmTZuGlJQUTJo0CWazWcwZDAbY2NjA2dlZcr6trS00Gg0qKiokWa1WazFX61hr1mAwQCaTtZv9ec3%2B/fs/sCYRERE92Tr0HayHlZCQIPler9fD3d0db731FnJycsSXx00mE%2Bzs7NqsoVQqYTKZxO9NJhN69OjRZk4QBDHb%2BrW97MPWvLcWERERPdn%2BI%2B5gtWXp0qWQyWTIz88Xx1QqFRobG9vM19fXQ6VSSbINDQ1t5mQymZht/dpe9mFr3luLiIiInmz/EXew2qJUKqHRaFBZWSmOabVatLS0wGg0Sh4TNjU14fbt23BxcZFkDQaDRd3WsdasVquFIAjtZn9es62tJn5esz2ln6TBRqmWjDl5%2BMBpmM99zyMiIqL72717N3bv3i0Za/0owK7wH9tg1dTUwGg0om/fvuKYp6cnBEFAYWEhAgMDxfHz58/DbDbD09NTkj19%2BrRF3YKCAvTs2RM6nQ4AMHz4cCgUChQWFiIkJETMNTU1obi4GDNmzJDUTE9PR0lJieRF94KCAshkMsn8bXHzX4CeA4Y8wlUgIiKihxEWFmax3VNRUZHFL7F1li5/RNjQ0ICamhqL8XfffRcAMGnSJHHM19cXTk5OSE1NlWRTU1OhVqsxefJkcSwkJAS3bt3Cvn37xDGj0YicnBwEBwfD1tYWANCrVy/4%2BfkhMzNT8luLGRkZqK2tlWweOm3aNCgUCqSkpEjm3759O1xdXTF27Nh/5RIQERHRY6bD72C99957%2BOmnn1BeXg4A%2BPDDD1FaWgoAiImJQWVlJUaOHImwsDDxrtCRI0dw%2BPBhBAUFITg4WKylVCqxZs0aREdHQ6/XIyAgACdPnkRWVhbWrl2L3r17i9mQkBAkJydj7ty5uHLlCpydnZGSkgKz2YzVq1dL1piQkIBx48ZhwoQJiIyMRGlpKTZt2oSAgAD4%2B/uLOVdXVyxZsgRJSUlobGzEmDFjsH//fpw5cwZZWVncZJSIiIgAADLh3s%2Bm6QDPPPMMvvvuuzaPffPNN3B0dERMTAwKCgpQUVGBlpYWDBkyBLNnz8by5cthY2NjcV56ejo2btyIb775Bm5ubli8eDEWL15skauqqkJcXBwOHDgAk8kEb29vJCUlYeTIkRbZs2fPYuXKlSgqKoKDgwNmzJiBtWvXSjYfbZWYmIi0tDQYDAa4u7sjPj4eM2fObPcatN6ifPbVrd3qEWFN6Re49kEcrl69arH3FxER0X%2B61n9/L1y40ObemB2pwxssYoNFRETUFbqyweryd7CIiIiIHjdssIiIiIisjA0WERERkZWxwSIiIiKyMjZYRERERFbGBouIiIjIythgEREREVkZGywiIiIiK2ODRURERGRlbLCIiIiIrIwNFhEREZGVscEiIiIisjI2WERERERWxgaLiIiIyMrYYBERERFZGRssIiIiIitjg0VERERkZWywiIiIiKyMDRYRERGRlbHBIiIiIrIyNlhEREREVsYGi4iIiMjKOrTBqq2txapVqzBp0iRoNBrI5XJkZGS0mS0pKUFgYCAcHByg0WgQEREBo9HYZjY9PR0eHh5QqVTQ6XTYtm1bm7mqqipERkaiX79%2BsLe3h6%2BvLy5evNhm9uzZsxg/fjzUajW0Wi1iY2NRW1trkRMEAevXr8egQYOgUqkwYsQI7Nmz5yGvCBEREf3/7d15VFTn%2BQfw7x0YGHZlk8FaF5TaxIW4EMWNIIoxiCUiaFrNokyOcY3WjSwmQY2JuAULorG1BqXEpWpic1IxRmOiVUA8xsoPs6AIIxFXwGF/f3/kcMN0wAgzw8D4/ZzjOfLe5773uU8I9/HeOy%2BPArM2WCUlJYiPj0dubi4CAgIgSVKjcYWFhRgxYgR%2B%2BOEHrFmzBosXL8bhw4cxduxY1NTU6MWmpKQgNjYWffv2xebNmxEUFIR58%2BZh7dq1enFCCIwfPx7/%2BMc/5O03btxAcHAwvv/%2Be73YnJwchIaGoqKiAhs2bEBsbCy2bt2K6Ohog1zj4uKwbNkyhIWFYfPmzejatZxh06wAABraSURBVCuee%2B45fPzxx0ZWi4iIiKyFrTkn9/X1xfXr1%2BHt7Y2srCwMHjy40bhVq1ZBp9MhJycHnTt3BgAMHjwYY8aMwY4dOzBz5kwAQEVFBV5//XVMmDAB6enpAIAZM2agtrYW8fHx0Gg0cHNzAwDs2bMHp06dwr59%2BxAZGQkAmDx5Mvz9/bFixQqkpqbKx4%2BLi4O7uzuOHz8OJycnAEDXrl2h0WiQkZGB0NBQAEBRURHWr1%2BPuXPnYtOmTfLxR40ahcWLF2Py5MlNNpFERET06DDrHSylUglvb%2B9fjdu/fz/Cw8Pl5goARo8eDX9/f707Q8eOHcOtW7fwyiuv6O0/e/ZslJWV4fDhw/LYvn374OPjIzdXAODp6Yno6GgcPHgQ1dXVAIDS0lJkZGRg2rRpcnMFANOnT4eTk5Pe8Q8cOICamhrMmjVL7/izZs3CtWvXcOrUqV89VyIiIrJ%2BFn/JvaioCD/99BMGDRpksC0wMFDvnan6vw8cOFAvbuDAgVAoFAaxAwYMaHTO%2B/fvIy8vDwBw4cIF1NTUGMypVCoREBCgN2dOTg6cnJzQu3dvgzmFEE2%2B30VERESPFos3WFqtFgCgVqsNtqnVaty6dUu%2B26TVamFjYwNPT0%2B9OKVSCQ8PDxQVFenN29ScAORYrVYLSZKajP3fOTt16vSrcxIREdGjzeINlk6nAwDY29sbbFOpVHoxOp0OdnZ2jc6jUqnkuPrYpuYUQujN%2BaDjP%2BycDeciIiKiR5vFGywHBwcAQGVlpcG2iooKvRgHBwdUVVU1Ok9FRYUcVx/b1JySJOnN%2BaDjP%2BycDeciIiKiR5tZP0X4MOofr9U/KmxIq9XC3d0dSqVSjq2trUVJSYneY8Lq6mrcvHkTvr6%2BevM2NScAOVatVkMI0WTs/8755Zdf/uqcTSk4kgIblZPemPtjwXB/PPiB%2BxEREdGDpaWlIS0tTW/s7t27FsqmDTRYvr6%2B8PLyQmZmpsG2M2fOICAgQP46ICAAQghkZmZi3Lhx8vjZs2dRV1dnEHvy5EmDOU%2BfPg1HR0f4%2B/sDAPr06QNbW1tkZmYiKipKjquurkZOTg5iYmL05ty%2BfTtyc3P1XnQ/ffo0JEnSO35juox5GY4%2BPR8YQ0RERM03depUTJ06VW8sOzvb4ENsrcXijwgBYNKkSfj0009RWFgojx09ehR5eXl6i32GhITA3d0dycnJevsnJyfDyckJzzzzjDwWFRWF4uJi7N%2B/Xx4rKSnB3r17ERERId8Vc3V1RWhoKFJTU/VWbt%2B5cyfKy8v1jj9x4kTY2toiKSlJ7/hbtmxB586dERQUZGQliIiIyBqY/Q7WX/7yF9y5c0dung4dOoSCggIAwLx58%2BDi4oK4uDjs3bsXwcHBmD9/PkpLS5GQkID%2B/fvjhRdekOdSqVSIj4/HnDlzEB0djbCwMJw4cQK7d%2B/G6tWr0aFDBzk2KioKGzduxIsvvoiLFy/C09MTSUlJqKurw1tvvaWX46pVqzBs2DCMHDkSGo0GBQUFWL9%2BPcLCwjBmzBg5rnPnzliwYAESEhJQVVWFwYMH45///Ce%2B/vpr7N69m4uMEhEREQBAEkIIcx6ge/fuuHr1aqPbfvzxR/z2t78FAFy6dAkLFy7EyZMnYWdnh/DwcCQkJMDLy8tgv%2B3bt2PdunX48ccf0aVLF8ydOxdz5841iLt79y4WL16MAwcOQKfTITAwEAkJCXjiiScMYr/55hssXboU2dnZcHFxQUxMDFavXq23%2BGi99957DykpKdBqtejVqxfi4uIwZcqUJmtQf4vy9y8ltqtHhGUF3%2BL/PlqMS5cuGaz9RURE1NbVX3%2BzsrIaXRvTnMzeYBEbLCIiIkuwZIPVJt7BIiIiIrImbLCIiIiITIwNFhEREZGJscEiIiIiMjE2WEREREQmxgaLiIiIyMTYYBERERGZGBssIiIiIhNjg0VERERkYmywiIiIiEyMDRYRERGRibHBIiIiIjIxNlhEREREJsYGi4iIiMjE2GARERERmRgbLCIiIiITY4NFREREZGJssIiIiIhMjA0WERERkYmxwSIiIiIyMTZYRERERCbWJhqs48ePQ6FQGPyxsbHBmTNn9GJzc3Mxbtw4uLi4wMPDA9OnT0dJSUmj827fvh2PPfYYHBwc4O/vj82bNzcad/fuXWg0Gnh7e8PZ2RkhISE4d%2B5co7HffPMNhg8fDicnJ6jVasyfPx/l5eXGFYCIiIisiq2lE2howYIFGDRokN5Yz5495b8XFhZixIgR6NixI9asWYPS0lKsXbsW3377Lc6cOQNb219OJyUlBbNmzcLkyZOxaNEifPXVV5g3bx50Oh0WL14sxwkhMH78eFy4cAFLliyBh4cHkpKSEBwcjOzsbPj5%2BcmxOTk5CA0NxWOPPYYNGzbg2rVrWLt2Lb777jscPnzYjJUhIiKi9qRNNVjDhw/Hs88%2B2%2BT2VatWQafTIScnB507dwYADB48GGPGjMGOHTswc%2BZMAEBFRQVef/11TJgwAenp6QCAGTNmoLa2FvHx8dBoNHBzcwMA7NmzB6dOncK%2BffsQGRkJAJg8eTL8/f2xYsUKpKamysePi4uDu7s7jh8/DicnJwBA165dodFokJGRgdDQUNMXhYiIiNqdNvGIsKGysjLU1tY2um3//v0IDw%2BXmysAGD16NPz9/fHxxx/LY8eOHcOtW7fwyiuv6O0/e/ZslJWV6d1t2rdvH3x8fOTmCgA8PT0RHR2NgwcPorq6GgBQWlqKjIwMTJs2TW6uAGD69OlwcnLSOz4RERE92tpUg/Xiiy/C1dUVKpUKISEhyMrKkrcVFRXhp59%2BMniECACBgYF670zV/33gwIF6cQMHDoRCoTCIHTBgQKNz3r9/H3l5eQCACxcuoKamxmBOpVKJgICAJt/ZIiIiokdPm2iw7OzsEBUVhU2bNuHQoUNYtWoVvv32W4wcORLnz58HAGi1WgCAWq022F%2BtVuPWrVvy3SatVgsbGxt4enrqxSmVSnh4eKCoqEge02q1Tc4JQI7VarWQJKnJ2IZzEhER0aOtTbyDNXToUAwdOlT%2BOjw8HJMmTUK/fv2wfPly/Otf/4JOpwMA2NvbG%2ByvUqkAADqdDkqlEjqdDnZ2do0eS6VSyXPV79PUnEIIOfbXjt9wTiIiInq0tYk7WI3x8/PDxIkTcezYMQgh4ODgAACorKw0iK2oqAAAOcbBwQFVVVWNzltRUSHH1cc2NackSXpzPuj4DeckIiKiR1ubuIPVlC5duqCqqgrl5eXyo7n6R4UNabVauLu7Q6lUAvj5kV1tbS1KSkr0HhNWV1fj5s2b8PX1lcfUanWTcwKQY9VqNYQQTcY2nLMpBUdSYKNy0htzfywY7o8H/%2Bq%2BRERE1LS0tDSkpaXpjd29e9dC2bTxBuv777%2BHSqWCs7MznJ2d4eXlhczMTIO4M2fOICAgQP46ICAAQghkZmZi3Lhx8vjZs2dRV1dnEHvy5EmDOU%2BfPg1HR0f4%2B/sDAPr06QNbW1tkZmYiKipKjquurkZOTg5iYmJ%2B9Xy6jHkZjj49fzWOiIiImmfq1KmYOnWq3lh2drbBh9NaS5t4RNjYSuznz5/HJ598grCwMHls0qRJ%2BPTTT1FYWCiPHT16FHl5eYiOjpbHQkJC4O7ujuTkZL05k5OT4eTkhGeeeUYei4qKQnFxMfbv36%2BXz969exERESHfFXN1dUVoaChSU1P1Vm7fuXMnysvL9Y5PREREj7Y2cQcrJiYGDg4OCAoKgre3Ny5evIht27bB2dkZ7777rhwXFxeHvXv3Ijg4GPPnz0dpaSkSEhLQv39/vPDCC3KcSqVCfHw85syZg%2BjoaISFheHEiRPYvXs3Vq9ejQ4dOsixUVFR2LhxI1588UVcvHgRnp6eSEpKQl1dHd566y29PFetWoVhw4Zh5MiR0Gg0KCgowPr16xEWFoYxY8aYu0xERETUTrSJBisyMhK7du3Chg0bcO/ePXh5eSEqKgpvvvkmevToIcf95je/wfHjx7Fw4UIsX74cdnZ2CA8PR0JCgnynqd6sWbNgZ2eHdevW4ZNPPkGXLl2wceNGzJ07Vy9OoVDgs88%2Bw%2BLFi5GYmAidTofAwEDs3LkTvXr10ot94oknkJGRgaVLl2LhwoVwcXFBbGwsVq9ebb7iEBERUbsjCSGEpZOwdvXPgH//UmK7egerrOBb/N9Hi3Hp0iX07t3b0ukQERE1S/31Nysrq9FFxc2pTbyDRURERGRN2GARERERmRgbLCIiIiITY4NFREREZGJssIiIiIhMjA0WERERkYmxwSIiIiIyMTZYRERERCbGBouIiIjIxNhgEREREZkYGywiIiIiE2ODRURERGRibLCIiIiITIwNFhEREZGJscEiIiIiMjE2WEREREQmxgaLiIiIyMTYYBERERGZGBssIiIiIhNjg0VERERkYmywiIiIiEyMDRYRERGRibHBaqaqqiosXboUnTt3hqOjI4YMGYKMjAxLp0VERERtCBusZnr%2B%2BeexceNGTJs2DR988AFsbW0xfvx4fPPNN5ZOjYiIiNoINljNcObMGaSnp2PNmjVYs2YNZs6ciaNHj6Jr165YsmSJpdOjB0hLS7N0Co801t%2ByWH/LYv0fTWywmmHv3r2wtbVFbGysPGZvb48ZM2bg1KlTKCwstGB29CD8AWdZrL9lsf6Wxfo/mthgNUNOTg78/f3h7OysNx4YGChvJyIiImKD1QxarRZqtdpgXK1WQwiBoqIiC2RFREREbQ0brGbQ6XSwt7c3GFepVPJ2IiIiIltLJ9CeODg4oLKy0mC8oqJC3t6Y%2BsYr//BG2Ng1HtMW1VSWAwA%2B%2BeQTZGVlWTib5lMoFKirqwMAXLt2Dbt27bJwRg%2BnYd7tTVO5t/X6W2PNG2qL9bf2mjfUVurfnmvu6ekJLy%2BvZu936dIlAJa5AcIGqxnUanWjjwG1Wi0AwNfXt9H98vPzAQC64u/Nlps5WcsnJP/0pz9ZOoVHGutvWay/ZbH%2BlpWfn49hw4a16jHZYDVDQEAAvvzyS5SVlem96H769GlIkoSAgIBG9wsLC0Nqaiq6devW5F0uIiIiMi2dTof8/HyEhYW1%2BrElIYRo9aO2U2fOnMGQIUOQkJCAhQsXAvh5Zfc%2BffrAy8sLX3/9tYUzJCIioraAd7CaITAwEJMnT8by5ctRXFyMnj17YseOHbhy5Qr%2B9re/WTo9IiIiaiN4B6uZqqqq8MYbbyA1NRW3b99Gv379sHLlSoSGhlo6NSIiImoj2GARERERmRjXwSIiIiIyMTZYRqiqqsLSpUvRuXNnODo6YsiQIcjIyHiofe/evQuNRgNvb284OzsjJCQE586dM3PG1qWl9f/iiy8wY8YM/O53v4OTkxP8/PwQGxuL69evt0LW1sOY7/%2BGYmNjoVAoEBERYYYsrZex9c/IyMDo0aPRoUMHuLq6YtCgQdizZ48ZM7YuxtQ/KysL4eHhUKvVcHFxQf/%2B/ZGYmNhu16iyhPLycqxYsQJPP/00PDw8oFAosHPnzofev1WuwYJabMqUKcLOzk4sXbpUbNu2TQwbNkwolUrx9ddfP3C/uro6ERQUJFxcXER8fLxISkoSffr0Ea6uruK7775rpezbv5bWf9CgQcLPz08sW7ZMbN%2B%2BXbz22mvC1dVVqNVqUVxc3ErZt38trX9DZ8%2BeFUqlUjg6OooJEyaYMVvrY0z9//rXvwqFQiHGjRsnkpKSREpKili4cKFYt25dK2RuHVpa/6ysLGFvby/69u0rNm7cKLZu3SoiIyOFJEliwYIFrZR9%2B5efny8kSRLdunUTISEhQqFQiL///e8PtW9rXYPZYLXQf/7zHyFJkli/fr08VlFRIXr27CmGDRv2wH3T09OFJEli//798tiNGzdEx44dxR//%2BEez5WxNjKn/V199ZTB24sQJIUmSeOONN0yeqzUypv4NBQUFiZkzZ4pu3bqxwWoGY%2Bqfn58vHB0dxauvvmruNK2WMfWPjY0VKpVK3LlzR2981KhRokOHDmbJ1xpVVVXJ/yDOzMwUkiQ9dIPVWtdgPiJsob1798LW1haxsbHymL29PWbMmIFTp06hsLCwyX337dsHHx8fREZGymOenp6Ijo7GwYMHUV1dbdbcrYEx9R8%2BfLjB2IgRI%2BDu7i7/WgV6MGPqX2/nzp24ePEiVq1aZc5UrZIx9U9OTkZdXR3efvttAD8/aqHmMab%2BpaWlUKlUcHNz0xv38fHhQtTNoFQq4e3t3aJ9W%2BsazAarhXJycuDv76%2B3ojvw81pZ9dubcu7cOQwYMMBgPDAwEPfv30deXp5pk7VCxtS/MeXl5SgrK4Onp6fJcrRmxta/rKwMy5Ytw2uvvdbiH5KPMmPqf/ToUfTu3RuHDx9Gly5d4OLiAg8PD7z55psQ/FD5QzGm/sHBwbh37x40Gg1yc3Nx9epVbNmyBQcOHEBcXJxZ86aftdY1mAuNtpBWq4VarTYYV6vVEEI0%2BjsLG%2B47atSoRvcFgKKiIjz%2B%2BOOmS9YKGVP/xmzYsAHV1dWYMmWKqVK0asbW/%2B2334ajoyMWLFhgrhStmjH1v3z5MmxsbPDSSy9h6dKl6NevH/bv34%2BVK1eitraWdxQfgjH1j42NxcWLF5GSkoIPP/wQAGBra4vNmzdDo9GYLWf6RWtdg9lgtZBOp4O9vb3BuEqlkre3ZF8hhEV%2B63d7Y0z9/9eJEyfwzjvvICYmptH/6ciQMfXPy8vDBx98gPT0dCiVSrPlaM2MqX9ZWRmEEHjvvffw5z//GQAQGRmJmzdvYtOmTYiLi4OTk5N5ErcSxtRfoVDAz88P48aNQ3R0NOzt7ZGWloY5c%2BbAx8eHn6ZtBa11DWaD1UIODg6orKw0GK%2BoqJC3t2RfSZL4HP4hGFP/hnJzc/Hss8%2BiX79%2B2LZtm0lztGbG1H/%2B/PkYPnw4/vCHP5gtP2tn7M%2Bf%2B/fvG9ytnTp1Kj7//HOcO3eu0fcU6RfG1H/NmjVITEzE5cuX4ejoCACIiopCSEgIZs%2BejfDwcCgUfHvHnFrrGsz/ii2kVquh1WoNxuvHfH19zbIv/cwUNSwoKMDYsWPRsWNHHD58mP9qb4aW1v%2BLL77A559/jnnz5uHKlSu4cuUK8vPzUVNTA51OhytXrqC0tNSsuVsDY77/67d16tRJb9zb2xtCCNy%2BfduEmVonY%2BqfnJyMkJAQubmqFxERgaKiIuTn55s0VzLUWtdgNlgtFBAQgLy8PJSVlemNnz59GpIkISAg4IH7ZmdnG4yfPn0ajo6O8Pf3N3m%2B1saY%2BgPArVu3MHbsWNTU1ODzzz83uNjQg7W0/gUFBZAkCZGRkejevTu6d%2B%2BOHj16oKioCEePHkWPHj34i9MfgjHf/wMHDgQAg0%2B6FRYWQpIkeHl5mT5hK2NM/YuLi1FbW2swXv/JtZqaGtMmSwZa7RpssgUfHjH166A0XJivsrJS9OrVSwQFBcljWq1W5ObmipqaGnksPT1dKBQKsW/fPnmsfg2O5557rnVOoJ0zpv7l5eUiMDBQuLm5iXPnzrVq3taipfUvKCgQBw8eNPjj7e0tAgMDxaFDh8QPP/zQ6ufT3hjz/X/gwAEhSZJ4/fXX5bG6ujoxfPhw4enpKaqqqlrnJNoxY%2Brft29f4enpKW7duiWP1dbWioEDBwo3Nze9WHo4D1oHy5LXYDZYRoiOjhZ2dnZiyZIlYuvWrSIoKEjY2dmJkydPyjHPP/%2B8kCRJXLlyRR6rra0VQ4cOFa6uruKdd96RV5F1c3MTeXl5ljiVdqml9Z84caKQJEnMnDlTpKam6v05cOCAJU6lXWpp/RvDhUabz5j6h4aGChsbG/Hyyy%2BLpKQkMWbMGKFQKMSHH37Y2qfRbrW0/rt27RIKhUL07NlTvP/%2B%2ByIxMVEMHTpUKBQK8e6771riVNqtzZs3i5UrV4pZs2YJSZLEpEmTxMqVK8XKlSvFvXv3hBCWvQazwTJCZWWlWLJkifD19RUODg7iySefFEeOHNGLeeGFF4SNjY3BD7g7d%2B6I2NhY4eXlJZydnUVISIjIzs5uzfTbvZbWv1u3bkKhUDT6p3v37q19Gu2WMd///6t79%2B4iIiLCnOlaHWPqX15eLl599VXh6%2BsrVCqV6N%2B/v0hLS2vN9Ns9Y%2Br/73//Wzz11FPC29tbrv%2B2bdtaM32r8KCf5fU1t%2BQ1WBKCK8sRERERmRJfciciIiIyMTZYRERERCbGBouIiIjIxNhgEREREZkYGywiIiIiE2ODRURERGRibLCIiIiITIwNFhEREZGJscEiIiIisysvL8eKFSvw9NNPw8PDAwqFAjt37jRqzqysLISHh0OtVsPFxQX9%2B/dHYmIi6urqTJR1y7HBIiIiIrMrKSlBfHw8cnNzERAQAEmSjJovOzsbw4YNw9WrV7Fs2TKsX78efn5%2BmD9/PhYtWmSirFuOvyqHiIiIzK66uhq3b9%2BGt7c3srKyMHjwYOzYsQPTp09v0XwajQYfffQRrl%2B/Djc3N3k8ODgY58%2Bfx%2B3bt02VeovwDhYRERGZnVKphLe390PFfvbZZxg5ciScnZ3h6uqK8PBw/Pe//9WLKS0thUql0muuAMDHxwcODg4my7ul2GARERFRm/HRRx8hPDwcLi4ueP/99/Hmm2/i0qVLGDFiBK5evSrHBQcH4969e9BoNMjNzcXVq1exZcsWHDhwAHFxcRY8g5/xESERERG1qqYeEZaXl6NLly6IiYlBcnKyPH7jxg34%2B/sjJiYGW7ZsAQDU1dVhwYIFSElJQXV1NQDA1tYWmzdvhkajad0TaoStpRMgIiIiAoAjR47g7t27mDJlCm7evCmPS5KEJ598EseOHZPHFAoF/Pz8MG7cOERHR8Pe3h5paWmYM2cOfHx8EBERYYlTkLHBIiIiojbh8uXLEELgqaeeMtgmSRJcXV3lr9esWYPExERcvnwZjo6OAICoqCiEhIRg9uzZCA8Ph0JhuTeh2GARERFRm1BXVwdJkpCamopOnToZbLe1/aVtSU5ORkhIiNxc1YuIiMCiRYuQn5%2BPHj16mD3nprDBIiIiojbBz88PQgh4eXkhJCTkgbHFxcWora01GK9/H6umpsYsOT4sfoqQiIiI2oSwsDC4urpi9erVjTZIJSUl8t/9/f1x5MgRvfWu6urqkJ6eDhcXF/j5%2BbVKzk35f4HMiXoucbiFAAAAAElFTkSuQmCC\"/>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common5626572432776039023\">\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">22919</td>\n",
+       "        <td class=\"number\">5.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">150000.0</td>\n",
+       "        <td class=\"number\">8722</td>\n",
+       "        <td class=\"number\">2.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">40000.0</td>\n",
+       "        <td class=\"number\">5788</td>\n",
+       "        <td class=\"number\">1.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">34400.0</td>\n",
+       "        <td class=\"number\">5154</td>\n",
+       "        <td class=\"number\">1.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">30000.0</td>\n",
+       "        <td class=\"number\">4855</td>\n",
+       "        <td class=\"number\">1.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">20000.0</td>\n",
+       "        <td class=\"number\">3907</td>\n",
+       "        <td class=\"number\">0.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">10000.0</td>\n",
+       "        <td class=\"number\">3861</td>\n",
+       "        <td class=\"number\">0.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">50000.0</td>\n",
+       "        <td class=\"number\">3834</td>\n",
+       "        <td class=\"number\">0.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">100.0</td>\n",
+       "        <td class=\"number\">3342</td>\n",
+       "        <td class=\"number\">0.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">35000.0</td>\n",
+       "        <td class=\"number\">2736</td>\n",
+       "        <td class=\"number\">0.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (9141)</td>\n",
+       "        <td class=\"number\">362644</td>\n",
+       "        <td class=\"number\">84.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme5626572432776039023\">\n",
+       "            <p class=\"h4\">Minimum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">22919</td>\n",
+       "        <td class=\"number\">5.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">100.0</td>\n",
+       "        <td class=\"number\">3342</td>\n",
+       "        <td class=\"number\">0.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">200.0</td>\n",
+       "        <td class=\"number\">555</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">300.0</td>\n",
+       "        <td class=\"number\">504</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">400.0</td>\n",
+       "        <td class=\"number\">75</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "            <p class=\"h4\">Maximum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">35456000.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">37012500.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">39228900.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">58304000.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">96791600.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>EMV_TOTAL</code></s><br/>\n",
+       "            <small>Highly correlated</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is highly correlated with <code>EMV_BLDG</code> and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Correlation</th>\n",
+       "            <td>0.9836</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">FIN_SQ_FT<br/>\n",
+       "            <small>Numeric</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>4666</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>1.1%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "\n",
+       "                <tr>\n",
+       "                    <th>Mean</th>\n",
+       "                    <td>528.12</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>19269</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"alert\">\n",
+       "                    <th>Zeros (%)</th>\n",
+       "                    <td>66.1%</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-6413759118407350863\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABU9JREFUeJzt2k1oU1kAxfGTUphGhA4Sax00L6ZJWjGopS1V3FQpFhEG3SiKwmStroZxo0L9QJDRhfixEIS2BESsIANWXQgGV1qXYqZDozEVO61p7MI2DdPXM6s%2BpjDcSSK%2BmPH84C2am8u9pfdP8/HACojH4wSgS1dJVzwed/2s1qICAoEAAOCHrp/w3feNRc0pfBzH%2B0Q/bt26hUgk8gV3J1%2BbZDKJQ4cOOefGTRUJxOv1AgDqg21Y1hgqas7M%2BxG8T/Rj/fr12LRp05fcnnylFs%2BNm2pcX1GkiigQEQMFImKgQEQMFIiIgQIRMVAgIgYKRMRAgYgYKBARAwUiYqBARAwUiIiBAhExUCAiBgpExECBiBgoEBEDBSJioEBEDBSIiIECETFQICIGCkTEQIGIGCgQEQMFImKgQEQMFIiIgQIRMVAgIgYKRMRAgYgYKBARAwUiYqBARAwUiIiBAhExUCAiBgpExECBiBjUVnoDpUomk7Btu6Q5Pp8Pfr//C%2B1I/s%2BqJpC/Pn0EPB4cOHCg5Ll13mUY%2BT2pSKRkVROIXfgEkAj8%2BAu8vuIPej6bQfq3X5HNZhWIlKxqAlnk9fmxrDFU6W3IN6IigeTzeQDAHwM/w1NT3OcEC/Y8AGB6dBj57FjRaxWm/wQADA0NIZlMFj2vpqYGCwsLRT//c%2BZpraV8Ph9Wrlzp/Lz4d1s8N65iBcTjcQLQpaukKx6Pu35WPSQJl2WzWTx69AiBQABer9ft5aXK5PN5pNNp9PT0wOfzubp2RQIRqRb6olDEQIGIGLgeyOjoKLZt24bm5mZ0dnaW9MmSVKdCoYC9e/eipaUFra2t6OnpQSqVAgB8%2BPABu3btQiQSwcaNG/H06VNnXj6fx8GDBxEOh9HS0oK7d%2B86YyRx7NgxhEIhRCIRXLt2bcma586dQygUQjgcxsmTJ8vfvNufCuzYsYMDAwMkycHBQXZ0dLi9BXHZ3NwcHzx44Px89epVdnV1kSRjsRhPnz5NkhweHuaaNWs4Pz9Pkjxz5gxjsRhJ8s2bN2xoaGAulyNJ9vf3s7u7mySZy%2BVoWRZfvXpFkkwkEoxGo8zn8ywUCmxvb%2BfQ0FBZe3c1kMnJSdbX19O2beexxsZGplIpN7chFfbixQuuW7eOJLl8%2BXJOTEw4Y52dnXz8%2BDFJcsOGDXz27Jkztm/fPt68eZMkuXv3bt6%2BfdsZO378OE%2BdOkWSPHLkCC9cuOCMXb9%2BnYcPHy5rr66%2BxBobG8Pq1atR848vB/1%2BPzKZjJvbkAq7fPky9uzZg1wuh/n5eTQ0NDhjlmU55yGTycCyLGcsEAh89lipqu5WE6lu58%2BfRyqVwo0bNzA7O1vp7fwnV/%2BDrF27FuPj40tuP8hkMrqJ8Btx8eJF3Lt3Dw8fPkRdXR1WrFiB2tpaTE5OOs9Jp9POebAsC2/fvv3XMb/fX9ZYycp6YfYZtm/fzr6%2BPpLknTt39Cb9G3Hp0iW2tbVxenp6yeOxWIy9vb0kyefPny95k97b2%2Bu8SX/9%2BjVXrVrFqakpkmRfXx%2B7u7tp2zanpqZoWRZfvnxJknzy5Amj0ShnZ2c5NzfH9vZ23r9/v6x9ux7IyMgIt27dykgkwo6ODueXkv%2Bvd%2B/e0ePxMBQKsbW1lZs3b%2BaWLVtIkhMTE9y5cyfD4TCj0SgTiYQzb2Zmhvv372dTUxObm5s5ODjojNm2zaNHjzIYDDIUCvHKlStL1jx79iyDwSCbmpp44sSJsveuW01EDPRNuoiBAhExUCAiBgpExECBiBgoEBEDBSJioEBEDBSIiIECETFQICIGCkTE4G%2BMDK6UXaiQQwAAAABJRU5ErkJggg%3D%3D\">\n",
+       "\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-6413759118407350863,#minihistogram-6413759118407350863\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives-6413759118407350863\">\n",
+       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
+       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-6413759118407350863\"\n",
+       "                                                  aria-controls=\"quantiles-6413759118407350863\" role=\"tab\"\n",
+       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#histogram-6413759118407350863\" aria-controls=\"histogram-6413759118407350863\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#common-6413759118407350863\" aria-controls=\"common-6413759118407350863\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#extreme-6413759118407350863\" aria-controls=\"extreme-6413759118407350863\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
+       "\n",
+       "    </ul>\n",
+       "\n",
+       "    <div class=\"tab-content\">\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-6413759118407350863\">\n",
+       "            <div class=\"col-md-4 col-md-offset-1\">\n",
+       "                <p class=\"h4\">Quantile statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Minimum</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>5-th percentile</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q1</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Median</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q3</th>\n",
+       "                        <td>1087</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>95-th percentile</th>\n",
+       "                        <td>2214</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Maximum</th>\n",
+       "                        <td>19269</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Range</th>\n",
+       "                        <td>19269</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Interquartile range</th>\n",
+       "                        <td>1087</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "            <div class=\"col-md-4 col-md-offset-2\">\n",
+       "                <p class=\"h4\">Descriptive statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Standard deviation</th>\n",
+       "                        <td>857</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Coef of variation</th>\n",
+       "                        <td>1.6227</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Kurtosis</th>\n",
+       "                        <td>9.0828</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Mean</th>\n",
+       "                        <td>528.12</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>MAD</th>\n",
+       "                        <td>697.83</td>\n",
+       "                    </tr>\n",
+       "                    <tr class=\"\">\n",
+       "                        <th>Skewness</th>\n",
+       "                        <td>2.081</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Sum</th>\n",
+       "                        <td>225910000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Variance</th>\n",
+       "                        <td>734450</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Memory size</th>\n",
+       "                        <td>3.3 MiB</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-6413759118407350863\">\n",
+       "            <img 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2brbGxsYG9vT3Ky8vFMZ1Oh4aGBhiNRsljwrq6Oty9exeOjo6SWoPBYNa3aaypVqfTQRAEi7WP9zx8%2BPBTez5JyYFkWNloJWN2rl6wG%2BD11HOJiIjIsoyMDGRkZEjGKioqWmk1rRCwmh6lPekvXVVVBaPRiG7duoljbm5uEAQBBQUF8Pf3F8fPnDmDxsZGuLm5SWof3T/VJD8/Hx07doSLiwsAYODAgVCpVCgoKEBQUJBYV1dXh6KiIoSEhEh6pqSkoLi4WLLRPT8/HwqFQjK/Jb18Z7ep1zQQERG1FaGhoQgNDZWMNb2moTW02CPCO3fumI3V19fj008/hUajgaurKx4%2BfIiqqiqzuj/96U8AgHHjxolj3t7esLOzQ1JSkqQ2KSkJWq0W48ePF8eCgoJw%2B/ZtZGdni2NGoxGZmZkIDAyEWq0GAHTu3Bk%2BPj5IS0uTfGoxNTUV1dXVkpeHTpw4ESqVComJiZL5t27dCicnJ3h6ej7TdSEiIqL2r8XuYM2ePRv379/H6NGj4eTkhB9%2B%2BAHbt2/H5cuXsWHDBnTs2BHfffcdhgwZgtDQUPGu0L59%2B7B3714EBARI9mrZ2NhgxYoViIqKgl6vh5%2BfH44ePYr09HSsWrUKXbt2FWuDgoKwadMmzJgxAxcvXoSDgwMSExPR2NiI5cuXS9a5cuVKjBgxAqNHj0ZERARKSkqwYcMG%2BPn5wdfXV6xzcnLC/PnzER8fj9raWgwfPhy7du3CiRMnkJ6ebvElo0RERPTyabGANWXKFKSkpGDr1q24e/cubG1t4e7ujnXr1ol3m7p27Yq3334beXl5SE1NRUNDA/r164fVq1dj0aJFZj0jIyNhbW2N9evXY8%2BePejVqxc2bdqE6OhoSZ1SqcTevXsRGxuLLVu2wGQywcPDA6mpqWb7voYMGYK8vDwsWbIECxcuhK2tLWbNmoVVq1aZzb9mzRrY2dkhOTkZn376KZydnbF9%2B3bJo0QiIiKiF/qrcl5W/FU5REREL95L86tyiIiIiF4GDFhEREREMmPAIiIiIpIZAxYRERGRzBiwiIiIiGTGgEVEREQkMwYsIiIiIpkxYBERERHJjAGLiIiISGYMWEREREQyY8AiIiIikhkDFhEREZHMGLCIiIiIZMaARURERCQzBiwiIiIimTFgEREREcmMAYuIiIhIZgxYRERERDJjwCIiIiKSGQMWERERkcwYsIiIiIhkxoBFREREJDMGLCIiIiKZMWARERERyYwBi4iIiEhmDFhEREREMmuxgHXp0iXo9Xr07dsXWq0W3bp1w5gxY/Dll1%2Ba1RYXF8Pf3x%2B2trawt7dHeHg4jEZjs31TUlLg6uoKjUYDFxcXJCQkNFtXUVGBiIgIdO/eHZ06dYK3tzfOnTvXbO3JkycxcuRIaLVa6HQ6zJs3D9XV1WZ1giBg7dq16NOnDzQaDQYPHowdO3Y8x1UhIiKil0GLBazvvvsOVVVVmD59Oj766CN8%2BOGHUCgUCAwMxN/%2B9jexrrS0FKNGjcL169exevVqxMbGIjc3F2%2B99Rbq6%2BslPZOTkzFr1iwMGjQICQkJ8PT0RExMDNatWyepEwQBAQEB2LFjh3j8zp078PLywrfffiupLSoqgo%2BPD2pqarBx40bMmjUL27Ztg16vN/s7xcXFYenSpfDz80NCQgJ69%2B6NqVOnYufOnTJeOSIiImrrFIIgCC9qMkEQMHToUDx8%2BBCXLl0CAMyZMwepqam4fPkynJycAAAHDx6Er68vtm3bhnfffRcAUFNTg169esHT0xM5OTliz7CwMOTk5KCkpARdunQBAOzcuRNTpkxBVlYWJk2aBAAwGo1wcXFBQEAA0tLSxPMDAgJw/vx5XL58GVqtFsBPd8kiIiKwf/9%2B%2BPj4AADKysrwxhtv4L333sPmzZvF88eMGYObN2/i5s2bUCgUzf69CwsL4e7ujjd/vwUde/aT5Vq%2BCLdPZ%2BFfpz9DVeX91l4KERHRc2v69/fs2bMYOnToC537he7BUigU6NWrF%2B7duyeOZWdnY8KECWK4AoCxY8fCxcVFcmfo0KFDKC8vx5w5cyQ9586di6qqKuTm5opjWVlZ6NmzpxiuAMDBwQF6vR45OTmoq6sDAFRWViIvLw9hYWFiuAKA8PBwaLVayfy7d%2B9GfX09IiMjJfNHRkbi1q1bOHXq1L97WYiIiKidafGA9eDBA9y9exfXr1/Hxo0bsXfvXsldoR9//BHDhg0zO8/Dw0OyZ6rpz%2B7u7pI6d3d3KJVKs9rmkqqHhwcePHiAK1euAAAuXLiA%2Bvp6s55qtRpubm6SnkVFRdBqtejfv79ZT0EQLO7vIiIiopdPiwesRYsWoVu3bujXrx9iY2Px29/%2BFlu2bAEAGAwGAIBOpzM7T6fToby8XLzbZDAYYGVlBQcHB0mdWq2Gvb09ysrKxDGDwWCxJwCx1mAwQKFQWKx9vGePHj2e2pOIiIhI1dITLFiwAMHBwSgrK8POnTvR0NCAhw8fAgBMJhMAoEOHDmbn2djYiDVqtRomkwnW1tbNzmFjYyP2ajrHUk9BEMTap83/rD0f7UVERETU4newXFxc4O3tjWnTpuGLL75AZWUlAgMDAQAajQYAxMD1qJqaGkmNRqNBbW1ts3PU1NSIdU21lnoqFApJzyfN/6w9H%2B1FRERE1OJ3sB4XFBSE9957D1evXhUfrzU9KnyUwWCAnZ0d1Go1gJ8exTU0NMBoNEoeE9bV1eHu3btwdHQUx3Q6ncWeAMRanU4HQRAs1j7e8/Dhw0/t%2BSQlB5JhZaOVjNm5esFugNdTzyUiIiLLMjIykJGRIRmrqKhopdW0QsBqepRWUVEBZ2dndOvWDQUFBWZ1X3/9Ndzc3MTv3dzcIAgCCgoK4O/vL46fOXMGjY2NZrXHjx8365mfn4%2BOHTvCxcUFADBw4ECoVCoUFBQgKChIrKurq0NRURFCQkIkPVNSUlBcXCzZ6J6fnw%2BFQiGZ35JevrPb1GsaiIiI2orQ0FCEhoZKxppe09AaWuwR4Z07d8zG6uvr8emnn0Kj0cDV1RUAMHnyZHz55ZcoLS0V6w4ePIgrV65IXvbp7e0NOzs7JCUlSXomJSVBq9Vi/Pjx4lhQUBBu376N7OxsccxoNCIzMxOBgYHiXbHOnTvDx8cHaWlpkje3p6amorq6WjL/xIkToVKpkJiYKJl/69atcHJygqen53NdHyIiImq/WuwO1uzZs3H//n2MHj0aTk5O%2BOGHH7B9%2B3ZcvnwZGzZsQMeOHQH89Hb0zMxMeHl5Yd68eaisrER8fDwGDx6M6dOni/1sbGywYsUKREVFQa/Xw8/PD0ePHkV6ejpWrVqFrl27irVBQUHYtGkTZsyYgYsXL8LBwQGJiYlobGzE8uXLJetcuXIlRowYgdGjRyMiIgIlJSXYsGED/Pz84OvrK9Y5OTlh/vz5iI%2BPR21tLYYPH45du3bhxIkTSE9Pt/iSUSIiInr5tFjAmjJlClJSUrB161bcvXsXtra2cHd3x7p16yR3m1599VUcOXIECxcuxPvvvw9ra2tMmDAB8fHx4p2mJpGRkbC2tsb69euxZ88e9OrVC5s2bUJ0dLSkTqlUYu/evYiNjcWWLVtgMpng4eGB1NRUODs7S2qHDBmCvLw8LFmyBAsXLoStrS1mzZqFVatWmf2d1qxZAzs7OyQnJ%2BPTTz%2BFs7Mztm/fLnmUSERERPRCf1XOy4q/KoeIiOjFe2l%2BVQ4RERHRy4ABi4iIiEhmDFhEREREMmPAIiIiIpIZAxYRERGRzBiwiIiIiGTGgEVEREQkMwYsIiIiIpkxYBERERHJjAGLiIiISGYMWEREREQyY8AiIiIikhkDFhEREZHMGLCIiIiIZMaARURERCQzBiwiIiIimTFgEREREcmMAYuIiIhIZgxYRERERDJjwCIiIiKSGQMWERERkcwYsIiIiIhkxoBFREREJDMGLCIiIiKZMWARERERyYwBi4iIiEhmLRawCgoKEBUVhYEDB6JTp07o3bs3QkJCcPXqVUndjBkzoFQqzb5cXV2b7ZuSkgJXV1doNBq4uLggISGh2bqKigpERESge/fu6NSpE7y9vXHu3Llma0%2BePImRI0dCq9VCp9Nh3rx5qK6uNqsTBAFr165Fnz59oNFoMHjwYOzYseM5rwwRERG1d6qWarxmzRqcPHkSwcHB%2BOUvf4kffvgBW7ZswdChQ3H69GlJgLKxsUFKSgoEQRDHunTpYtYzOTkZkZGRCA4OxqJFi3Ds2DHExMTAZDIhNjZWrBMEAQEBAbhw4QIWL14Me3t7JCYmwsvLC4WFhejbt69YW1RUBB8fH7i6umLjxo24desW1q1bh2vXriE3N1cyf1xcHNasWYPZs2dj2LBhyMnJwdSpU6FUKqHX6%2BW8fERERNSGKYRHU42M8vPzMWzYMKhU/z/DXbt2DYMGDUJwcDBSU1MB/HQHKysrC/fv339iv5qaGvTq1Quenp7IyckRx8PCwpCTk4OSkhIxlO3cuRNTpkxBVlYWJk2aBAAwGo1wcXFBQEAA0tLSxPMDAgJw/vx5XL58GVqtFsBPd8kiIiKwf/9%2B%2BPj4AADKysrwxhtv4L333sPmzZvF88eMGYObN2/i5s2bUCgUza69sLAQ7u7uePP3W9CxZ79nvoat7fbpLPzr9Geoqnzyz4aIiOjnqOnf37Nnz2Lo0KEvdO4We0T4q1/9ShKuAKBfv34YMGAAvvnmG7P6xsZGVFZWWux36NAhlJeXY86cOZLxuXPnoqqqSnK3KSsrCz179hTDFQA4ODhAr9cjJycHdXV1AIDKykrk5eUhLCxMDFcAEB4eDq1Wi507d4pju3fvRn19PSIjIyXzR0ZG4tatWzh16tSTLgcRERG9RF74Jvfbt2/DwcFBMvbgwQN07twZXbp0gb29PaKiosz2QDXtn3J3d5eMu7u7Q6lUSvZXnTt3rtmk6uHhgQcPHuDKlSsAgAsXLqC%2Bvt6sp1qthpubm6RnUVERtFot%2Bvfvb9ZTEASL%2B7uIiIjo5fNCA1ZaWhpKS0sxZcoUcczR0RGLFy/GJ598gh07dmDixIlITEzEuHHj0NjYKNYZDAZYWVmZhTO1Wg17e3uUlZVJanU6ndn8TWNNtQaDAQqFwmLt4z179Ojx1J5ERERELbbJ/XHFxcWIiorCiBEjEB4eLo6vXLlSUqfX6%2BHs7IwPPvgAmZmZ4uZxk8kEa2vrZnvb2NjAZDKJ35tMJnTo0KHZOkEQxNqm/1qqfdaej/YiIiIieiF3sG7fvo3x48fjlVdeweeff25xM3iTBQsWQKFQIC8vTxzTaDSora1ttr6mpgYajUZS%2B/Dhw2brFAqFWNv0X0u1z9rz0V5EREREqrfffhthYWGYOHFis3do/lP379%2BHv78/7t%2B/j%2BPHj6Nnz55PPcfGxgb29vYoLy8Xx3Q6HRoaGmA0GiWPCevq6nD37l04OjpKag0Gg1nfprGmWp1OB0EQLNY%2B3vPw4cNP7fkkJQeSYWWjlYzZuXrBboDXU88lIiIiyzIyMpCRkSEZq6ioaKXVAKpLly5hypQp6Ny5MyZPnoywsDB4eXnJ0vzhw4eYMGECrl27hoMHD%2BIXv/jFM51XVVUFo9GIbt26iWNubm4QBAEFBQXw9/cXx8%2BcOYPGxka4ublJao8fP27WNz8/Hx07doSLiwsAYODAgVCpVCgoKEBQUJBYV1dXh6KiIoSEhEh6pqSkoLi4WLLRPT8/HwqFQjK/Jb18Z7ep1zQQERG1FaGhoQgNDZWMNb2moTUov/32W5w4cQLvvPMO9uzZg7Fjx%2BK1117D%2B%2B%2B/j3/%2B85//duPGxkbo9XqcPn0amZmZ8PDwMKt5%2BPAhqqqqzMb/9Kc/AQDGjRsnjnl7e8POzg5JSUmS2qSkJGi1WowfP14cCwoKwu3bt5GdnS2OGY1GZGZmIjAwEGq1GgDQuXNn%2BPj4IC0tTfKpxdTUVFRXV0teHjpx4kSoVCokJiZK5t%2B6dSucnJzg6en5TNeFiIiI2j8VAPz617/Gr3/9a3z00UfYt28f0tLSsGXLFqxduxaDBg1CeHg4QkNDm/20nSULFy7Enj17EBgYCKPRiO3bt0uOv/POO/jhhx8wZMgQhIaGineF9u3bh7179yIgIACBgYFivY2NDVasWIGoqCjo9Xr4%2Bfnh6NGjSE9Px6pVq9C1a1exNihNzqpUAAAgAElEQVQoCJs2bcKMGTNw8eJFODg4IDExEY2NjVi%2BfLlkHStXrsSIESMwevRoREREoKSkBBs2bICfnx98fX3FOicnJ8yfPx/x8fGora3F8OHDsWvXLpw4cQLp6elP3VdGRERELw%2BLb3K/d%2B8eZs%2BeLW5KVyqVGDt2LBYsWAA/P7%2BnNv7Nb36Do0ePWjze0NCAiooKxMTEID8/H2VlZWhoaEC/fv0wbdo0LFq0CFZWVmbnpaSkYP369bhx4wZ69eqF6OhoREdHm9VVVFQgNjYWu3fvhslkgoeHB%2BLj4zFkyBCz2pMnT2LJkiUoLCyEra0tQkJCsGrVKsnLR5usWbMGycnJMBgMcHZ2RlxcnOS1E83hm9yJiIhevNZ8k7tZwMrPz0daWhp27twJo9GIN998E2FhYVCr1fj4449RXFyMDz/8EMuWLXuhC23LGLCIiIhevNYMWCoAuHLlCtLS0pCeno4bN27AwcEBoaGhCAsLw7Bhw8TiRYsWYebMmdiyZQsDFhEREZEFqmHDhuHcuXOwtrbGhAkTsHHjRowbN87s9wg28fHxwd///vcXvEwiIiKitkNlY2ODxMREhISESDaKWxIYGIirV6%2B%2BgKURERERtU2q5t4X9SRarRZ9%2B/ZtoeUQERERtX3KoqIiJCcnWyzYtm0bzp8//wKXRERERNS2KePi4rB3716LBfv378cf/vCHF7gkIiIiorZNWVBQgNGjR1ssGDVqFM6cOfMCl0RERETUtikrKythbW1tscDKyqpVf1kiERERUVujdHZ2xoEDBywW/O///i/eeOONF7gkIiIiorZNOWPGDOzZsweLFy9GZWWleOD%2B/fuIjY3FV199hd///vetuEQiIiKitkU1f/58FBYWIj4%2BHps2bcKrr74KALh16xbq6%2BsRGhqKRYsWtfIyiYiIiNoOlUKhwD/%2B8Q%2BEh4cjKysL169fBwD4%2Bflh8uTJ8PHxaeUlEhEREbUt4u/D8fX1ha%2Bvb2uuhYiIiKhdULb2AoiIiIjaGyUApKSkwNPTEz179kSHDh1gbW0t%2BerQoUNrr5OIiIiozVAtXboU69atw6BBgxAUFIRXXnmltddERERE1KapPv74Y0yaNAmZmZmtvRYiIiKidkFpMpnw1ltvtfY6iIiIiNoN5W9%2B8xucPXu2tddBRERE1G4oExMTcezYMaxduxb37t1r7fUQERERtXnKQYMGoaSkBO%2B//z7s7e3RpUsX2NnZSb7s7e1be51EREREbYZq/PjxUCgUrb0OIiIionZDlZaW1tprICIiImpX%2BCZ3IiIiIpkpAeDWrVuIiorCgAED0K1bNxw7dgwAYDQasXDhQhQVFbXqIomIiIjaElVxcTFGjRqFuro6DB8%2BHMXFxairqwMAODg44NChQ7h//z7%2B9re/tfJSiYiIiNoG5eLFi9GpUydcvnwZGRkZEARBUjB%2B/HjxjtbzKCgoQFRUFAYOHIhOnTqhd%2B/eCAkJwdWrV81qi4uL4e/vD1tbW9jb2yM8PBxGo7HZvikpKXB1dYVGo4GLiwsSEhKarauoqEBERAS6d%2B%2BOTp06wdvbG%2BfOnWu29uTJkxg5ciS0Wi10Oh3mzZuH6upqszpBELB27Vr06dMHGo0GgwcPxo4dO57jqhAREdHLQHnkyBHMmTMHPXr0aPbThL1790ZpaelzN16zZg127doFHx8ffPTRR5g9ezaOHj2KoUOH4tKlS2JdaWkpRo0ahevXr2P16tWIjY1Fbm4u3nrrLdTX10t6JicnY9asWRg0aBASEhLg6emJmJgYrFu3TlInCAICAgKwY8cO8fidO3fg5eWFb7/9VlJbVFQEHx8f1NTUYOPGjZg1axa2bdsGvV5v9neKi4vD0qVL4efnh4SEBPTu3RtTp07Fzp07n/v6EBERUfulamhogFartVhgNBqhVqufu/GiRYuQkZEBlUoljun1egwaNAirV69GamoqAGDlypUwmUwoKiqCk5MTAGD48OHw9fXFJ598gnfffRcAUFNTgw8%2B%2BABvv/02PvvsMwDAzJkz0dDQgBUrViAiIgJdunQBAHz%2B%2Bec4deoUsrKyMGnSJABAcHAwXFxcsGzZMjz6ycm4uDjY2dnhyJEj4nXo3bs3IiIikJeXBx8fHwBAWVkZNmzYgOjoaGzevFmcf8yYMYiNjUVwcDBfd0FEREQAAOWQIUOwb9%2B%2BZg82NDRgx44d%2BK//%2Bq/nbvyrX/1KEq4AoF%2B/fhgwYAC%2B%2BeYbcSw7OxsTJkwQwxUAjB07Fi4uLpI7Q4cOHUJ5eTnmzJkj6Tl37lxUVVUhNzdXHMvKykLPnj3FcAX8tJ9Mr9cjJydH3GNWWVmJvLw8hIWFSUJmeHg4tFqtZP7du3ejvr4ekZGRkvkjIyNx69YtnDp16rmuDxEREbVfyqVLlyI3NxfR0dEoLi4G8NNdq8OHD8Pf3x%2BXLl3C0qVLZZvw9u3bcHBwAPDTXaEff/wRw4YNM6vz8PCQ7Jlq%2BrO7u7ukzt3dHUql0qx26NChzfZ88OABrly5AgC4cOEC6uvrzXqq1Wq4ublJehYVFUGr1aJ///5mPQVBsLi/i4iIiF4%2ByvHjxyMlJQX/%2BMc/MHr0aABAaGgoxo4di6%2B//hoff/wxvLy8ZJksLS0NpaWlmDJlCgDAYDAAAHQ6nVmtTqdDeXm5eLfJYDDAyspKDGdN1Go17O3tUVZWJo4ZDAaLPQGItQaDAQqFwmLt4z179Ojx1J5EREREKgCYPn06Jk%2BejH379uHatWtobGxE3759MW7cOHFf03%2BquLgYUVFRGDFiBMLDwwEAJpMJANChQwezehsbG7FGrVbDZDLB2tq62d42NjZir6ZzLPUUBEGsfdr8z9rz0V5ERERE4iYpW1tbBAcHt8gkt2/fxvjx4/HKK6/g888/FzeDazQaAMDDhw/NzqmpqZHUaDQa1NbWNtu/pqZGrGuqtdRToVBIej5p/mft%2BWgvIiIiItWzPtpydHT8tya4f/8%2B/P39cf/%2BfRw/fhw9e/YUjzU9Xmt6VPgog8EAOzs78ROMOp0ODQ0NMBqNkseEdXV1uHv3rmR9Op3OYs9H/y46nQ6CIFisfbzn4cOHn9rzSUoOJMPKRvqJTTtXL9gN8HrquURERGRZRkYGMjIyJGMVFRWttBpA9eqrrz7T6wUaGhqeu/nDhw8xYcIEXLt2DQcPHsQvfvELyXFHR0d069YNBQUFZud%2B/fXXcHNzE793c3ODIAgoKCiAv7%2B/OH7mzBk0Njaa1R4/ftysZ35%2BPjp27AgXFxcAwMCBA6FSqVBQUICgoCCxrq6uDkVFRQgJCZH0TElJQXFxsWSje35%2BPhQKhWR%2BS3r5zkbHnv2eWkdERETPJzQ0FKGhoZKxwsJCsw%2ByvSjKbdu24fGvpKQkLFmyBI6OjnB3d8e2bdueu3FjYyP0ej1Onz6NzMxMeHh4NFs3efJkfPnll5KXmR48eBBXrlyRvOzT29sbdnZ2SEpKkpyflJQErVaL8ePHi2NBQUG4ffs2srOzxTGj0YjMzEwEBgaKd8U6d%2B4MHx8fpKWlSd7cnpqaiurqasn8EydOhEqlQmJiomT%2BrVu3wsnJCZ6ens9zeYiIiKgdUzW9yLM5cXFx8PDwEPcZPY%2BFCxdiz549CAwMhNFoxPbt2yXH33nnHXGOzMxMeHl5Yd68eaisrER8fDwGDx6M6dOni/U2NjZYsWIFoqKioNfr4efnh6NHjyI9PR2rVq1C165dxdqgoCBs2rQJM2bMwMWLF%2BHg4IDExEQ0NjZi%2BfLlknWsXLkSI0aMwOjRoxEREYGSkhJs2LABfn5%2B8PX1FeucnJwwf/58xMfHo7a2FsOHD8euXbtw4sQJpKen8yWjREREJFIIj//ywcfEx8cjMTER169ff67Gv/nNb3D06FGLxx995PjNN99g4cKFOH78OKytrTFhwgTEx8ejW7duZuelpKRg/fr1uHHjBnr16oXo6GhER0eb1VVUVCA2Nha7d%2B%2BGyWSCh4cH4uPjMWTIELPakydPYsmSJSgsLIStrS1CQkKwatWqZt9wv2bNGiQnJ8NgMMDZ2RlxcXHiaycsabpF%2Bebvt7SpR4S3T2fhX6c/Q1Xl/dZeChER0XNr%2Bvf37Nmzzb4fsyU9U8D64x//yNcQ/AcYsIiIiF681gxYKksHHjx4gKNHjyI%2BPv6ZNnATERER0U9UarW62f1DDQ0NEAQBTk5O%2BMtf/tIKSyMiIiJqm1RLliwxC1gKhQKvvPKK%2BDb3pk/dEREREdHTqf7nf/6ntddARERE1K4oW3sBRERERO2NKiIi4rlPUigUSE5OboHlEBEREbV9qr1798JkMqG8vBzAT7/0GQAqKysBAHZ2dma/yJgv1SQiIiKyTHngwAF07NgRixcvRllZGSoqKlBRUYGysjLExsZCq9UiLy8PJSUl4tf333/f2usmIiIi%2BtlSRUVFwdfXF6tXr5Yc6NmzJ9asWQOj0YioqCgcOHCglZZIRERE1LYo8/PzMWzYMIsFw4YNw6lTp17gkoiIiIjaNmXXrl2xf/9%2BiwV79%2B5Fly5dXuCSiIiIiNo2ZUREBL744gtMnjwZhw8fxq1bt3Dr1i0cOnQIv/3tb5Gbm4vZs2e39jqJiIiI2gxV0y9yXr9%2BPXbv3i05aGVlhf/%2B7//Ghx9%2B2ErLIyIiImp7VAqFAn/%2B85%2BxYMEC7N%2B/X/yEYO/eveHr64sePXq08hKJiIiI2hZV0x%2B6d%2B%2BOsLCw1lwLERERUbugBIDGxkZkZmZi7ty5CA4Oxj//%2BU8AwP379/HFF1/gxx9/bNVFEhEREbUlyvv372PUqFHQ6/X45JNPkJ2dLQaqjh07IjIyEps3b27lZRIRERG1HcqlS5fi//7v/5Cbm4ubN29CEATxoEqlQlBQEL766qtWXCIRERFR26LctWsXoqOjMW7cOCiVSrMCFxcX3Lx588WvjIiIiKiNUv7rX/9Cnz59LBbU19ejrq7uBS6JiIiIqG1T9u3bF%2BfOnbNYkJeXhzfffPMFLomIiIiobVPOnDkTH3/8MbKyssRBhUKBuro6LFu2DF999RUiIiJacYlEREREbYtqwYIFuHDhAoKDg2Fvbw8ACAsLg9FoRG1tLWbOnIlZs2a18jKJiIiI2g6VQqHA3//%2Bd/zud79DZmYmrl69isbGRvTt2xd6vR7e3t6tvUYiIiKiNkX11Vdf4bXXXoOXlxe8vLxaez1EREREbZ5y0qRJOHbsWGuvg4iIiKjdUPbr1w/l5eUt0ry6uhrLli3DuHHjYG9vD6VSidTUVLO6GTNmQKlUmn25uro22zclJQWurq7QaDRwcXFBQkJCs3UVFRWIiIhA9%2B7d0alTJ3h7e1v8xOTJkycxcuRIaLVa6HQ6zJs3D9XV1WZ1giBg7dq16NOnDzQaDQYPHowdO3Y8x1UhIiKi9k61dOlSLFmyBCEhIejXr5%2BszY1GI1asWIHevXvDzc0Nhw8ftlhrY2ODlJQUyZvku3TpYlaXnJyMyMhIBAcHY9GiRTh27BhiYmJgMpkQGxsr1gmCgICAAFy4cAGLFy%2BGvb09EhMT4eXlhcLCQvTt21esLSoqgo%2BPD1xdXbFx40bcunUL69atw7Vr15CbmyuZPy4uDmvWrMHs2bMxbNgw5OTkYOrUqVAqldDr9f/B1SIiIqL2QnXu3Dm88sorcHV1xdixY/H6669Do9FIihQKBdavX//czR0dHfHDDz%2Bge/fuOHv2LIYPH255ISoVQkNDn9ivpqYGH3zwAd5%2B%2B2189tlnAICZM2eioaEBK1asQEREhBjKPv/8c5w6dQpZWVmYNGkSACA4OBguLi5YtmwZ0tLSxL5xcXGws7PDkSNHoNVqAQC9e/dGREQE8vLy4OPjAwAoKyvDhg0bEB0dLf5%2BxpkzZ2LMmDGIjY1FcHAwFArFc18nIiIial9UmzZtEr/Zv39/s0X/bsBSq9Xo3r37M9c3Njaiuroatra2zR4/dOgQysvLMWfOHMn43LlzsX37duTm5mLq1KkAgKysLPTs2VMMVwDg4OAAvV6P7du3o66uDmq1GpWVlcjLy8OiRYvEcAUA4eHhWLBgAXbu3CkGrN27d6O%2Bvh6RkZGS%2BSMjI/HOO%2B/g1KlT8PT0fOa/LxEREbVPyrq6Ojztq7a2tsUX8uDBA3Tu3BldunSBvb09oqKizPZANe2fcnd3l4y7u7tDqVRK9ledO3cOQ4cONZvHw8MDDx48wJUrVwAAFy5cQH19vVlPtVoNNzc3Sc%2BioiJotVr079/frKcgCE98Iz4RERG9PFRWVlatvQY4Ojpi8eLFGDp0KBobG7Fv3z4kJibi/PnzOHz4sPhLqA0GA6ysrODg4CA5X61Ww97eHmVlZeKYwWDAmDFjzObS6XQAfnrcN2DAABgMBigUCnH88drjx49Levbo0eOJPYmIiIhUAHD37l10794dBw4caJUXi65cuVLyvV6vh7OzMz744ANkZmaKm8dNJhOsra2b7WFjYwOTySR%2BbzKZ0KFDh2brBEEQa5v%2Ba6n2WXs%2B2ouIiIhebsqmPzz66b2fgwULFkChUCAvL08c02g0Fh9X1tTUSDbnazQaPHz4sNk6hUIh1jb911Lts/Z8tBcRERG93FStvQBLbGxsYG9vL3lHl06nQ0NDA4xGo%2BQxYV1dHe7evQtHR0dJrcFgMOvbNNZUq9PpIAiCxdrHezb3qonHe1pSciAZVjZayZidqxfsBng98TwiIiJ6soyMDGRkZEjGKioqWmk1P%2BOAVVVVBaPRiG7duoljbm5uEAQBBQUF8Pf3F8fPnDmDxsZGuLm5SWof3T/VJD8/Hx07doSLiwsAYODAgVCpVCgoKEBQUJBYV1dXh6KiIoSEhEh6pqSkoLi4WLLRPT8/HwqFQjJ/c3r5zkbHnvK%2Ba4yIiIiA0NBQs9c9FRYWmn2I7UVRFhYW4vz58wCAq1evorCwsNmvlvLw4UNUVVWZjf/pT38CAIwbN04c8/b2hp2dHZKSkiS1SUlJ0Gq1GD9%2BvDgWFBSE27dvIzs7WxwzGo3IzMxEYGAg1Go1AKBz587w8fFBWlqa5FOLqampqK6ulrw8dOLEiVCpVEhMTJTMv3XrVjg5OfEVDURERAQAUD368s/H3y8F/LQ3S6FQoKGh4d%2Ba4C9/%2BQvu3buH0tJSAMAXX3yBkpISAEBMTAzKy8sxZMgQhIaGineF9u3bh7179yIgIACBgYFiLxsbG6xYsQJRUVHQ6/Xw8/PD0aNHkZ6ejlWrVqFr165ibVBQEDZt2oQZM2bg4sWLcHBwQGJiIhobG7F8%2BXLJGleuXIkRI0Zg9OjRiIiIQElJCTZs2AA/Pz/4%2BvqKdU5OTpg/fz7i4%2BNRW1uL4cOHY9euXThx4gTS09P5klEiIiICACg%2B%2BeSTZ9rd/rvf/e7fmuCNN97A999/3%2ByxGzduoEuXLoiJiUF%2Bfj7KysrQ0NCAfv36Ydq0aVi0aBGae41ESkoK1q9fjxs3bqBXr16Ijo5GdHS0WV1FRQViY2Oxe/dumEwmeHh4ID4%2BHkOGDDGrPXnyJJYsWYLCwkLY2toiJCQEq1atkrx8tMmaNWuQnJwMg8EAZ2dnxMXFYcqUKRavQdMtyjd/v6VNPSK8fToL/zr9Gaoq77f2UoiIiJ5b07%2B/Z8%2BebfbdmC1JIfzcPj7YDjFgERERvXitGbCUTy8hIiIioufBgEVEREQkMwYsIiIiIpkxYBERERHJjAGLiIiISGYMWEREREQyY8AiIiIikhkDFhEREZHMGLCIiIiIZMaARURERCQzBiwiIiIimTFgEREREcmMAYuIiIhIZgxYRERERDJjwCIiIiKSGQMWERERkcwYsIiIiIhkxoBFREREJDMGLCIiIiKZMWARERERyYwBi4iIiEhmDFhEREREMmPAIiIiIpIZAxYRERGRzBiwiIiIiGTGgEVEREQksxYNWNXV1Vi2bBnGjRsHe3t7KJVKpKamNltbXFwMf39/2Nrawt7eHuHh4TAajc3WpqSkwNXVFRqNBi4uLkhISGi2rqKiAhEREejevTs6deoEb29vnDt3rtnakydPYuTIkdBqtdDpdJg3bx6qq6vN6gRBwNq1a9GnTx9oNBoMHjwYO3bseMYrQkRERC%2BDFg1YRqMRK1asQHFxMdzc3KBQKJqtKy0txahRo3D9%2BnWsXr0asbGxyM3NxVtvvYX6%2BnpJbXJyMmbNmoVBgwYhISEBnp6eiImJwbp16yR1giAgICAAO3bsEI/fuXMHXl5e%2BPbbbyW1RUVF8PHxQU1NDTZu3IhZs2Zh27Zt0Ov1ZmuNi4vD0qVL4efnh4SEBPTu3RtTp07Fzp07/8OrRURERO2FqiWbOzo64ocffkD37t1x9uxZDB8%2BvNm6lStXwmQyoaioCE5OTgCA4cOHw9fXF5988gneffddAEBNTQ0%2B%2BOADvP322/jss88AADNnzkRDQwNWrFiBiIgIdOnSBQDw%2Beef49SpU8jKysKkSZMAAMHBwXBxccGyZcuQlpYmzh8XFwc7OzscOXIEWq0WANC7d29EREQgLy8PPj4%2BAICysjJs2LAB0dHR2Lx5szj/mDFjEBsbi%2BDgYIshkoiIiF4eLXoHS61Wo3v37k%2Bty87OxoQJE8RwBQBjx46Fi4uL5M7QoUOHUF5ejjlz5kjOnzt3LqqqqpCbmyuOZWVloWfPnmK4AgAHBwfo9Xrk5OSgrq4OAFBZWYm8vDyEhYWJ4QoAwsPDodVqJfPv3r0b9fX1iIyMlMwfGRmJW7du4dSpU0/9uxIREVH71%2Bqb3MvKyvDjjz9i2LBhZsc8PDwke6aa/uzu7i6pc3d3h1KpNKsdOnRosz0fPHiAK1euAAAuXLiA%2Bvp6s55qtRpubm6SnkVFRdBqtejfv79ZT0EQLO7vIiIiopdLqwcsg8EAANDpdGbHdDodysvLxbtNBoMBVlZWcHBwkNSp1WrY29ujrKxM0tdSTwBircFggEKhsFj7eM8ePXo8tScRERG93Fo9YJlMJgBAhw4dzI7Z2NhIakwmE6ytrZvtY2NjI9Y11VrqKQiCpOeT5n/Wno/2IiIiopdbqwcsjUYDAHj48KHZsZqaGkmNRqNBbW1ts31qamrEuqZaSz0VCoWk55Pmf9aej/YiIiKil1uLforwWTQ9Xmt6VPgog8EAOzs7qNVqsbahoQFGo1HymLCurg53796Fo6OjpK%2BlngDEWp1OB0EQLNY%2B3vPw4cNP7WlJyYFkWNloJWN2rl6wG%2BD1xPOIiIjoyTIyMpCRkSEZq6ioaKXV/AwClqOjI7p164aCggKzY19//TXc3NzE793c3CAIAgoKCuDv7y%2BOnzlzBo2NjWa1x48fN%2BuZn5%2BPjh07wsXFBQAwcOBAqFQqFBQUICgoSKyrq6tDUVERQkJCJD1TUlJQXFws2eien58PhUIhmb85vXxno2PPfk%2BsISIioucXGhqK0NBQyVhhYaHZh9helFZ/RAgAkydPxpdffonS0lJx7ODBg7hy5YrkZZ/e3t6ws7NDUlKS5PykpCRotVqMHz9eHAsKCsLt27eRnZ0tjhmNRmRmZiIwMFC8K9a5c2f4%2BPggLS1N8ub21NRUVFdXS%2BafOHEiVCoVEhMTJfNv3boVTk5O8PT0/A%2BvBBEREbUHLX4H6y9/%2BQvu3bsnhqcvvvgCJSUlAICYmBjY2toiLi4OmZmZ8PLywrx581BZWYn4%2BHgMHjwY06dPF3vZ2NhgxYoViIqKgl6vh5%2BfH44ePYr09HSsWrUKXbt2FWuDgoKwadMmzJgxAxcvXoSDgwMSExPR2NiI5cuXS9a4cuVKjBgxAqNHj0ZERARKSkqwYcMG%2BPn5wdfXV6xzcnLC/PnzER8fj9raWgwfPhy7du3CiRMnkJ6ezpeMEhEREQBAIQiC0JITvPHGG/j%2B%2B%2B%2BbPXbjxg289tprAIBvvvkGCxcuxPHjx2FtbY0JEyYgPj4e3bp1MzsvJSUF69evx40bN9CrVy9ER0cjOjrarK6iogKxsbHYvXs3TCYTPDw8EB8fjyFDhpjVnjx5EkuWLEFhYSFsbW0REhKCVatWSV4%2B2mTNmjVITk6GwWCAs7Mz4uLiMGXKFIvXoOkW5Zu/39KmHhHePp2Ff53%2BDFWV91t7KURERM%2Bt6d/fs2fPNvtuzJbU4gGLGLCIiIhaQ2sGrJ/FHiwiIiKi9oQBi4iIiEhmDFhEREREMmPAIiIiIpIZAxYRERGRzBiwiIiIiGTGgEVEREQkMwYsIiIiIpkxYBERERHJjAGLiIiISGYMWEREREQyY8AiIiIikhkDFhEREZHMGLCIiIiIZMaARURERCQzBiwiIiIimTFgEREREcmMAYuIiIhIZgxYRERERDJjwCIiIiKSGQMWERERkcwYsIiIiIhkxoBFREREJDMGLCIiIiKZMWARERERyYwBi4iIiEhmP4uAdeTIESiVSrMvKysrfP3115La4uJi%2BPv7w9bWFvb29ggPD4fx/7V370FRnecfwL9nZdddWLAsi3GhXlphM6HUbMRSEes4VAcvRMeKmLQR9ZdIxtSGxI5Y09h0qqitJjHqkBh1Yh2MpVFnYqJNGzLGNF6CiDhqYonOkJ%2BX/WERlYu7LMLz%2B8Ph1O0uKvEsuyvfz8zOsO95znvec5498HjO8d36er/9btmyBSkpKTCZTLDb7diwYYPfuOvXr6OgoAD9%2B/eH2WxGVlYWjh8/7jf20KFDGD16NKKiomCz2VBYWIiWlpb7OwBERET0QIkI9gBu98ILL2DEiBFebUlJSerPFy9exE9%2B8hPExsZi1apVaGpqwurVq3Hq1ClUVFQgIuI/u7Nx40bMnz8fM2bMwK9//Wv885//xPPPPw%2BXy4VFixapcSKCSZMm4eTJkygqKkJcXBxKSkowduxYVFVVYejQoWpsdXU1xo0bh5SUFLz%2B%2Buu4cOECVq9ejbNnz2Lv3r0BPDJEREQUTkKqwBo9ejR%2B9rOfdbm8uPPJ1vcAABKSSURBVLgYLpcL1dXVSExMBAD86Ec/wvjx47F161Y888wzAAC3242XX34Zjz/%2BOMrKygAATz/9NNrb27Fs2TIUFBSgX79%2BAID33nsPhw8fxq5duzBt2jQAwIwZM2C32/HKK6%2BgtLRU3f5LL70Ei8WCAwcOICoqCgAwePBgFBQUoLy8HOPGjdP%2BoBAREVHYCYlbhLdrbm5Ge3u732W7d%2B9GTk6OWlwBwE9/%2BlPY7Xb89a9/Vdv279%2BPhoYGPPfcc17r//KXv0Rzc7PX1aZdu3ZhwIABanEFAFarFXl5eXj//ffR1tYGAGhqakJ5eTlmzZqlFlcAkJ%2Bfj6ioKK/tExERUe8WUgXW3LlzERMTA6PRiKysLBw7dkxddunSJVy%2BfNnnFiIApKenez0z1flzWlqaV1xaWhp0Op1P7PDhw/32eePGDdTU1AAATp48iZs3b/r0qdfr4XA4unxmi4iIiHqfkCiwDAYDcnNz8cYbb2DPnj0oLi7GqVOnMGbMGJw4cQIA4HQ6AQA2m81nfZvNhoaGBvVqk9PpRJ8%2BfWC1Wr3i9Ho94uLicOnSJbXN6XR22ScANdbpdEJRlC5jb%2B%2BTiIiIereQeAYrIyMDGRkZ6vucnBxMnz4dw4YNw5IlS7Bv3z64XC4AQN%2B%2BfX3WNxqNAACXywW9Xg%2BXywWDweB3W0ajUe2rc52u%2BhQRNfZu27%2B9TyIiIurdQuIKlj9Dhw7F1KlTsX//fogITCYTAKC1tdUn1u12A4AaYzKZ4PF4/PbrdrvVuM7YrvpUFMWrzztt//Y%2BiYiIqHcLiStYXRk4cCA8Hg9aWlrUW3Odtwpv53Q6YbFYoNfrAdy6Zdfe3o76%2Bnqv24RtbW24cuUKEhIS1DabzdZlnwDUWJvNBhHpMvb2Prty/uON6GOM8mqzpIyF5Qdj77ouERERdW3Hjh3YsWOHV9v169eDNJoQL7DOnTsHo9EIs9kMs9mM%2BPh4VFZW%2BsRVVFTA4XCo7x0OB0QElZWVmDBhgtp%2B9OhRdHR0%2BMR%2B/vnnPn0eOXIEkZGRsNvtAIDU1FRERESgsrISubm5alxbWxuqq6sxc%2BbMu%2B7PwPHPInJA0l3jiIiIqHuefPJJPPnkk15tVVVVPv85raeExC1CfzOxnzhxAh988AGys7PVtunTp%2BPDDz/ExYsX1bZPPvkENTU1yMvLU9uysrJgsVjw5ptvevX55ptvIioqCpMnT1bbcnNzUVdXh927d3uNZ%2BfOnZgyZYp6VSwmJgbjxo1DaWmp18zt27ZtQ0tLi9f2iYiIqHcLiStYM2fOhMlkwqhRo9C/f3%2BcPn0amzZtgtlsxsqVK9W4l156CTt37sTYsWNRWFiIpqYmrFmzBo8%2B%2BijmzJmjxhmNRixbtgwLFixAXl4esrOz8dlnn%2BHdd9/FihUr8J3vfEeNzc3Nxdq1azF37lycPn0aVqsVJSUl6OjowO9//3uvcRYXFyMzMxNjxoxBQUEBzp8/j9deew3Z2dkYP358oA8TERERhYmQKLCmTZuG7du34/XXX0djYyPi4%2BORm5uL3/3ud/j%2B97%2Bvxn33u9/FgQMHsHDhQixZsgQGgwE5OTlYs2aNeqWp0/z582EwGPDqq6/igw8%2BwMCBA7F27Vr86le/8orT6XT429/%2BhkWLFmH9%2BvVwuVxIT0/Htm3bkJyc7BX72GOPoby8HIsXL8bChQsRHR2NefPmYcWKFYE7OERERBR2FBGRYA/iQdd5D/iR/1kfVs9g1X2xC1e/KENzU2Owh0JERNRtnX9/jx075ndS8UAKiWewiIiIiB4kLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjIfFVORS6Ojo6UFVVFexhdJvVasWgQYOCPQwiIuqlWGBRl266m%2BFyuZCWlhbsoXSb0RSJf535ikUWEREFBQss6lKHxw1IB4ZMWQSTNXwKFVf9/6J2z2rU19ezwCIioqBggUV3ZbIOCqsvqSYiIgo2PuROREREpDEWWEREREQaY4FFREREpDEWWEREREQaY4FFREREpDEWWEREREQaY4FFREREpDEWWEREREQaY4FFREREpDEWWEREREQaY4FFREREpDEWWEREREQaY4FFREREpDEWWN3k8XiwePFiJCYmIjIyEiNHjkR5eXmwh0VEREQhhAVWN82ePRtr167FrFmzsG7dOkRERGDSpEk4dOhQsIdGREREIYIFVjdUVFSgrKwMq1atwqpVq/DMM8/gk08%2BweDBg1FUVBTs4VEQ7dixI9hDoABifh9szC8FAgusbti5cyciIiIwb948ta1v3754%2BumncfjwYVy8eDGIo6Ng4i/oBxvz%2B2BjfikQWGB1Q3V1Nex2O8xms1d7enq6upyIiIgoItgDCCdOpxM2m82n3WazQURw6dKlIIyKuvLVV1/12LauX7%2BOqqoqTfqyWq0YNGiQJn0REVFwsMDqBpfLhb59%2B/q0G41GdTkFX1tzA6AoeOqpp3p0u2lpaZr0YzRF4l9nvmKRRUQUxlhgdYPJZEJra6tPu9vtVpf701l41e5diz4G/zGhyH311hW5a2ePwlV/PsijuXfN508DIoh7NBt6s6VHtnn1y88QmzLmvvtpa27AlRN/x7Zt2/C9731Pg5H1HJ1Oh46OjmAPo9vuZdwXLlzA9u3be2hE9yZcjzcQemO/1/yG2rjvVbiO22q1Ij4%2B/r766LyTEYwLICywusFms/m9Deh0OgEACQkJfterra0FALjqzgVsbIHk/GxbsIfwrVw58fce3d7/HdTuQdmlS5dq1hdpo6eviFLPYn4fbLW1tcjMzOzRbbLA6gaHw4FPP/0Uzc3NXg%2B6HzlyBIqiwOFw%2BF0vOzsbpaWlGDJkSJdXuYiIiEhbLpcLtbW1yM7O7vFtKyIiPb7VMFVRUYGRI0dizZo1WLhwIYBbM7unpqYiPj4eBw8eDPIIiYiIKBTwClY3pKenY8aMGViyZAnq6uqQlJSErVu34ptvvsE777wT7OERERFRiOAVrG7yeDxYunQpSktLcfXqVQwbNgzLly/HuHHjgj00IiIiChEssIiIiIg0xpnciYiIiDTGAiuAPB4PFi9ejMTERERGRmLkyJEoLy8P9rAIwIEDB6DT6Xxeffr0QUVFhVfsmTNnMGHCBERHRyMuLg75%2Bfmor6/32%2B%2BWLVuQkpICk8kEu92ODRs2%2BI27fv06CgoK0L9/f5jNZmRlZeH48eOa72dv0NLSgldeeQUTJ05EXFwcdDodtm3zP7VIsHN56NAhjB49GlFRUbDZbCgsLERLS8u32/Fe4l7zO3fuXL/ndEpKit9%2Bmd/QUFlZiQULFiA1NRVmsxmDBw/GzJkz8fXXX/vEht35KxQwTzzxhBgMBlm8eLFs2rRJMjMzRa/Xy8GDB4M9tF7v008/FUVR5MUXX5Tt27d7va5cuaLGXbhwQaxWqyQnJ8uGDRtk5cqVYrFY5LHHHpO2tjavPt966y1RFEXy8vJk8%2BbNMnv2bFEURf70pz95xXV0dMioUaMkOjpali1bJiUlJZKamioxMTFy9uzZHtn/B0ltba0oiiJDhgyRrKws0el08uc//9knLti5PH78uJhMJklLS5ONGzfK0qVLxWg0yqRJk7Q/KA%2BQe83vnDlzxGQyybvvvut1Pn/44Yc%2Bscxv6MjNzZWEhAQpLCyULVu2SHFxsQwYMEDMZrOcPn1ajQvH85cFVoB88cUXoiiKvPbaa2qb2%2B2WpKQkyczMDOLISOQ/BdauXbvuGDd//nyJioqSCxcuqG3l5eWiKIps2rRJbXO5XGK1WmXKlCle6z/11FMSHR0t165dU9vKyspEURTZvXu32vbvf/9bYmNj5Re/%2BMX97lqv4/F4pK6uTkREKisrRVEUv3%2BAg53LiRMnSmJiojQ3N6ttmzdvFp1OJx9//PG33PsH373md86cORIdHX3X/pjf0HL48GGfAunrr78Wo9Eos2bNUtvC8fxlgRUgixYtEr1eL01NTV7tK1euFJ1O5/UhoZ53e4HV1NQkN2/e9Bv30EMPycyZM33aH374YRk/frz6ft%2B%2BfaLT6eSjjz7yijt8%2BLAoiiLbt29X2/Ly8sRms/n0%2Beyzz4rZbBaPx/Ntd6vXu9Mf4GDmsrGxUfR6vfzmN7/xivN4PBIdHS3z5s3r3o72UvdSYLW3t0tjY2OXfTC/4SEtLU1GjBihvg/H85fPYAVIdXU17Ha714zvwK25tDqXU/DNnTsXMTExMBqNyMrKwrFjx9Rlly5dwuXLlzFixAif9dLT073u03f%2B/N9f%2BJyWlgadTucTO3z4cL993rhxAzU1Nfe9X%2BQt2Lk8efIkbt686dOnXq%2BHw%2BHg83cauXHjBmJiYtCvXz/ExcVhwYIFPs/IML/hoa6uDlarFUD4nr8ssALE6XTCZrP5tNtsNoiI3%2B80pJ5jMBiQm5uLN954A3v27EFxcTFOnTqFMWPG4MSJEwD%2B8x2TXeWxoaEBbW1tamyfPn3UXwid9Ho94uLivPJ9p88GAH42AiDYuXQ6nVAUpctY5vz%2BJSQkoKioCFu3bsVf/vIXTJ06FSUlJZg4caLXFx0zv6GvtLQUFy9exBNPPAEgfM9fzuQeIC6XC3379vVpNxqN6nIKnoyMDGRkZKjvc3JyMH36dAwbNgxLlizBvn371BzdLY96vR4ulwsGg8HvtoxGo1e%2B7/TZEBF%2BNgIg2Lm82/aZ8/tXXFzs9T4vLw/Jycl4%2BeWXsXPnTuTl5QEA8xvizpw5gwULFiAzMxP5%2BfkAwvf85RWsADGZTGhtbfVpd7vd6nIKLUOHDsXUqVOxf/9%2BiIiao3vJo8lkgsfj8duv2%2B32yvedPhuKovCzEQDBzuXdts%2BcB8aLL74IRVG8psdhfkNXXV0dJk%2BejNjYWLz33ntQFAVA%2BJ6/LLACxGazqZc1b9fZlpCQ0NNDonswcOBAeDwetLS0qJeDu8qjxWKBXq8HcCvf7e3tPnOytLW14cqVK1755mej5wU7l52PBnQVy5wHhtFoRFxcHBoaGtQ25jc0NTY2YsKECWhsbMRHH32EAQMGqMvC9fxlgRUgDocDNTU1aG5u9mo/cuQIFEWBw%2BEI0sjoTs6dOwej0Qiz2YyEhATEx8ejsrLSJ66iosIrhw6HAyLiE3v06FF0dHT4xFZVVfn0eeTIEURGRsJut2u4RwQg6LlMTU1FRESET59tbW2orq7m74MAaW5uRn19PeLj49U25jf0tLa2IicnB2fPnsXevXvx8MMPey0P2/PX/3%2BQpPvVOQ/Wq6%2B%2Bqra1trZKcnKyjBo1KogjI5Fbc538t%2BrqajEYDDJt2jS17U5zr7z99ttqm8vlkri4OL9zr5jNZrl69araVlZWJjqdzmsOrs65V37%2B859rsn%2B91bedB6sncnmneXT%2B8Y9/fPud7kW6yq/b7faZEkfk1nQ5Op1O3n//fbWN%2BQ0t7e3tMmXKFDEYDD5TK9wuHM9fFlgBlJeXJwaDQYqKiuTtt9%2BWUaNGicFgkM8//zzYQ%2Bv1srKyZPLkyVJcXCybNm2SF154QaKiosRisciZM2fUuPPnz0t8fLwkJSXJ%2BvXrZcWKFWKxWMThcPjMV1VSUiI6nU5mzJghmzdvlvz8fNHpdLJq1SqvuPb2dsnIyJCYmBj5wx/%2BoM4e3K9fP6mpqemR/X/QbNiwQZYvXy7z588XRVFk%2BvTpsnz5clm%2BfLk6J1Kwc1lVVSUmk0mGDx8ub731lvz2t78Vk8kkEydODOzBeQDcLb%2B1tbUSGxsrzz33nKxbt07WrVsnkyZNEkVRZPLkyT79Mb%2Bho7CwUBRFkalTp0ppaanPq1M4nr8ssAKotbVVioqKJCEhQUwmk/z4xz/mjL4hYv369TJy5EixWq1iMBgkMTFRZs%2BeLefOnfOJ/fLLL2XChAliNpvFYrFIfn6%2BXL582W%2B/mzdvlkceeUSMRqMkJyfLunXr/MZdu3ZN5s2bJ/Hx8WI2myUrK0uqqqo03cfeZMiQIaLT6fy%2BvvnmGzUu2Lk8ePCgjB49WiIjI%2BWhhx6S559/3utfxOTf3fJ77do1yc/PF7vdLmazWUwmk/zwhz%2BUP/7xj11OIsz8hoaxY8d2mVudTucVG27nryIicue7o0RERETUHXzInYiIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhj/w8siyoDwGuVRgAAAABJRU5ErkJggg%3D%3D\"/>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-6413759118407350863\">\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">282593</td>\n",
+       "        <td class=\"number\">66.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">960.0</td>\n",
+       "        <td class=\"number\">1751</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1040.0</td>\n",
+       "        <td class=\"number\">1338</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1092.0</td>\n",
+       "        <td class=\"number\">1193</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1008.0</td>\n",
+       "        <td class=\"number\">1066</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1056.0</td>\n",
+       "        <td class=\"number\">1024</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1144.0</td>\n",
+       "        <td class=\"number\">902</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1248.0</td>\n",
+       "        <td class=\"number\">859</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1012.0</td>\n",
+       "        <td class=\"number\">802</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1000.0</td>\n",
+       "        <td class=\"number\">801</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (4656)</td>\n",
+       "        <td class=\"number\">135433</td>\n",
+       "        <td class=\"number\">31.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:48%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-6413759118407350863\">\n",
+       "            <p class=\"h4\">Minimum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">282593</td>\n",
+       "        <td class=\"number\">66.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">176.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">280.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">320.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">324.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "            <p class=\"h4\">Maximum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">16000.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">17097.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">18474.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">19076.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">19269.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">GARAGE<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>3</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>63.2%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>270248</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable7071564438537659807\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Y</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:56%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 35.2%\">\n",
+       "            150397\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>N</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 1.7%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        7117\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 63.2%\">\n",
+       "            270248\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable7071564438537659807, #minifreqtable7071564438537659807\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable7071564438537659807\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Y</td>\n",
+       "        <td class=\"number\">150397</td>\n",
+       "        <td class=\"number\">35.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:56%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">N</td>\n",
+       "        <td class=\"number\">7117</td>\n",
+       "        <td class=\"number\">1.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">270248</td>\n",
+       "        <td class=\"number\">63.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">GARAGESQFT<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>1444</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.9%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>63.2%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>270248</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-5860854004535267691\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>440</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:6%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 3.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        14105\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>528</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 2.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        9489\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>0</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 2.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        8476\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (1440)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:46%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 29.3%\">\n",
+       "            125444\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 63.2%\">\n",
+       "            270248\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-5860854004535267691, #minifreqtable-5860854004535267691\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-5860854004535267691\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">440</td>\n",
+       "        <td class=\"number\">14105</td>\n",
+       "        <td class=\"number\">3.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">528</td>\n",
+       "        <td class=\"number\">9489</td>\n",
+       "        <td class=\"number\">2.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0</td>\n",
+       "        <td class=\"number\">8476</td>\n",
+       "        <td class=\"number\">2.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">484</td>\n",
+       "        <td class=\"number\">8300</td>\n",
+       "        <td class=\"number\">1.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">480</td>\n",
+       "        <td class=\"number\">6201</td>\n",
+       "        <td class=\"number\">1.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">576</td>\n",
+       "        <td class=\"number\">6185</td>\n",
+       "        <td class=\"number\">1.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">400</td>\n",
+       "        <td class=\"number\">4740</td>\n",
+       "        <td class=\"number\">1.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">240</td>\n",
+       "        <td class=\"number\">3884</td>\n",
+       "        <td class=\"number\">0.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">280</td>\n",
+       "        <td class=\"number\">3320</td>\n",
+       "        <td class=\"number\">0.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">624</td>\n",
+       "        <td class=\"number\">2799</td>\n",
+       "        <td class=\"number\">0.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (1433)</td>\n",
+       "        <td class=\"number\">90015</td>\n",
+       "        <td class=\"number\">21.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:33%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">270248</td>\n",
+       "        <td class=\"number\">63.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">GREEN_ACRE<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>2</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable3918076508147311913\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>N</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 99.8%\">\n",
+       "            426987\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Y</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        775\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable3918076508147311913, #minifreqtable3918076508147311913\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable3918076508147311913\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">N</td>\n",
+       "        <td class=\"number\">426987</td>\n",
+       "        <td class=\"number\">99.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Y</td>\n",
+       "        <td class=\"number\">775</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">HEATING<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>7</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>63.4%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>271230</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable3858227831042992916\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Forced Air</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:52%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 33.1%\">\n",
+       "            141681\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Hot Water</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 1.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        6779\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>0</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 1.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        5315\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (3)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2757\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 63.4%\">\n",
+       "            271230\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable3858227831042992916, #minifreqtable3858227831042992916\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable3858227831042992916\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Forced Air</td>\n",
+       "        <td class=\"number\">141681</td>\n",
+       "        <td class=\"number\">33.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:52%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Hot Water</td>\n",
+       "        <td class=\"number\">6779</td>\n",
+       "        <td class=\"number\">1.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0</td>\n",
+       "        <td class=\"number\">5315</td>\n",
+       "        <td class=\"number\">1.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Gravity</td>\n",
+       "        <td class=\"number\">1761</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Electric</td>\n",
+       "        <td class=\"number\">640</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Other</td>\n",
+       "        <td class=\"number\">356</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">271230</td>\n",
+       "        <td class=\"number\">63.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">HOMESTEAD<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>3</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.3%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>1425</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-523105349288407073\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Y</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 74.3%\">\n",
+       "            317978\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>N</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:34%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 25.3%\">\n",
+       "            108359\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1425\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-523105349288407073, #minifreqtable-523105349288407073\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-523105349288407073\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Y</td>\n",
+       "        <td class=\"number\">317978</td>\n",
+       "        <td class=\"number\">74.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">N</td>\n",
+       "        <td class=\"number\">108359</td>\n",
+       "        <td class=\"number\">25.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">1425</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">HOME_STYLE<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>16</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>64.4%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>275362</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-7643217223979156980\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Rambler</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:21%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 13.2%\">\n",
+       "            56372\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Other</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 8.8%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        37774\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Split Entry</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:6%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 3.7%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        15713\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (12)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:16%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 9.9%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        42541\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 64.4%\">\n",
+       "            275362\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-7643217223979156980, #minifreqtable-7643217223979156980\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7643217223979156980\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Rambler</td>\n",
+       "        <td class=\"number\">56372</td>\n",
+       "        <td class=\"number\">13.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Other</td>\n",
+       "        <td class=\"number\">37774</td>\n",
+       "        <td class=\"number\">8.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Split Entry</td>\n",
+       "        <td class=\"number\">15713</td>\n",
+       "        <td class=\"number\">3.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Split Level</td>\n",
+       "        <td class=\"number\">11761</td>\n",
+       "        <td class=\"number\">2.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Expansion</td>\n",
+       "        <td class=\"number\">9107</td>\n",
+       "        <td class=\"number\">2.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Town House</td>\n",
+       "        <td class=\"number\">5681</td>\n",
+       "        <td class=\"number\">1.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Colonial</td>\n",
+       "        <td class=\"number\">5289</td>\n",
+       "        <td class=\"number\">1.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Condo</td>\n",
+       "        <td class=\"number\">4406</td>\n",
+       "        <td class=\"number\">1.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Townhouse</td>\n",
+       "        <td class=\"number\">2829</td>\n",
+       "        <td class=\"number\">0.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Half Double</td>\n",
+       "        <td class=\"number\">1480</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (5)</td>\n",
+       "        <td class=\"number\">1988</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">275362</td>\n",
+       "        <td class=\"number\">64.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>LANDMARK</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">LOT<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>392</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.1%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>32.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>137057</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2092755328415747942\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>001</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 6.7%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        28792\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>002</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:12%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 5.9%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        25207\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>003</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:11%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 5.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        22463\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (388)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 50.1%\">\n",
+       "            214243\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:64%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 32.0%\">\n",
+       "            137057\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2092755328415747942, #minifreqtable2092755328415747942\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2092755328415747942\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">001</td>\n",
+       "        <td class=\"number\">28792</td>\n",
+       "        <td class=\"number\">6.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">002</td>\n",
+       "        <td class=\"number\">25207</td>\n",
+       "        <td class=\"number\">5.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">003</td>\n",
+       "        <td class=\"number\">22463</td>\n",
+       "        <td class=\"number\">5.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">004</td>\n",
+       "        <td class=\"number\">20676</td>\n",
+       "        <td class=\"number\">4.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">005</td>\n",
+       "        <td class=\"number\">18117</td>\n",
+       "        <td class=\"number\">4.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">006</td>\n",
+       "        <td class=\"number\">16763</td>\n",
+       "        <td class=\"number\">3.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">007</td>\n",
+       "        <td class=\"number\">14964</td>\n",
+       "        <td class=\"number\">3.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">008</td>\n",
+       "        <td class=\"number\">13712</td>\n",
+       "        <td class=\"number\">3.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">009</td>\n",
+       "        <td class=\"number\">12273</td>\n",
+       "        <td class=\"number\">2.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">010</td>\n",
+       "        <td class=\"number\">11458</td>\n",
+       "        <td class=\"number\">2.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (381)</td>\n",
+       "        <td class=\"number\">106280</td>\n",
+       "        <td class=\"number\">24.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:77%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">137057</td>\n",
+       "        <td class=\"number\">32.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>MULTI_USES</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>NUM_UNITS</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">OPEN_SPACE<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>2</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6348015887819663876\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>N</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 100.0%\">\n",
+       "            427602\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Y</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        160\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6348015887819663876, #minifreqtable-6348015887819663876\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6348015887819663876\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">N</td>\n",
+       "        <td class=\"number\">427602</td>\n",
+       "        <td class=\"number\">100.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Y</td>\n",
+       "        <td class=\"number\">160</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>OWNER_MORE</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>OWN_ADD_L1</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>OWN_ADD_L2</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>OWN_ADD_L3</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>PARC_CODE</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">PIN<br/>\n",
+       "            <small>Categorical, Unique</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3 collapse in\" id=\"minivalues-7035777685304732758\"><table border=\"1\" class=\"dataframe example_values\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>First 3 values</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>053-1602924320023</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>053-2411822320004</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>053-2502924340142</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table></div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minivalues-7035777685304732758\"><table border=\"1\" class=\"dataframe example_values\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>Last 3 values</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>053-3202924330157</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>053-2011622120074</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>053-2711823320002</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table></div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#values-7035777685304732758,#minivalues-7035777685304732758\" aria-expanded=\"false\"\n",
+       "       aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 collapse\" id=\"values-7035777685304732758\">\n",
+       "    <p class=\"h4\">First 10 values</p>\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">053-0102724110003</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">053-0102724110004</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">053-0102724110005</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">053-0102724110006</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">053-0102724110008</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "    <p class=\"h4\">Last 10 values</p>\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">053-3612123410014</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">053-3612123410015</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">053-3612123410016</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">053-3612123410018</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">053-3612123410019</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">PLAT_NAME<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>18488</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>4.3%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.3%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>1429</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable6151171685871657444\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>UNPLATTED</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1412\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>REMINGTONS 2ND ADDN TO MPLS</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1042\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>CONDO NO 0587 VILLAGE HOMES OF EDIN</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        927\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (18484)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 98.9%\">\n",
+       "            422952\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1429\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable6151171685871657444, #minifreqtable6151171685871657444\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable6151171685871657444\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">UNPLATTED</td>\n",
+       "        <td class=\"number\">1412</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">REMINGTONS 2ND ADDN TO MPLS</td>\n",
+       "        <td class=\"number\">1042</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">CONDO NO 0587 VILLAGE HOMES OF EDIN</td>\n",
+       "        <td class=\"number\">927</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">RGT ST LOUIS PARK</td>\n",
+       "        <td class=\"number\">915</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">SECOND DIV OF REMINGTON PARK</td>\n",
+       "        <td class=\"number\">744</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">WEST MINNEAPOLIS 2ND DIVISION</td>\n",
+       "        <td class=\"number\">708</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">FOREST HEIGHTS</td>\n",
+       "        <td class=\"number\">704</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">REMINGTONS 3RD ADDN TO MPLS</td>\n",
+       "        <td class=\"number\">679</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">CALHOUN PARK</td>\n",
+       "        <td class=\"number\">656</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PARK MANOR</td>\n",
+       "        <td class=\"number\">626</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (18477)</td>\n",
+       "        <td class=\"number\">417920</td>\n",
+       "        <td class=\"number\">97.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">1429</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>PREFIXTYPE</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>PREFIX_DIR</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">SALE_DATE<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>553</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.2%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>22.6%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>96622</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable7463900213145227341\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>2014-06-01</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2383\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>2014-08-01</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.5%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2242\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>2014-07-01</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.5%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2237\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (549)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 75.8%\">\n",
+       "            324278\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:30%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 22.6%\">\n",
+       "            96622\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable7463900213145227341, #minifreqtable7463900213145227341\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable7463900213145227341\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2014-06-01</td>\n",
+       "        <td class=\"number\">2383</td>\n",
+       "        <td class=\"number\">0.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2014-08-01</td>\n",
+       "        <td class=\"number\">2242</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2014-07-01</td>\n",
+       "        <td class=\"number\">2237</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2013-08-01</td>\n",
+       "        <td class=\"number\">2226</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2013-06-01</td>\n",
+       "        <td class=\"number\">2218</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2013-07-01</td>\n",
+       "        <td class=\"number\">2217</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2014-05-01</td>\n",
+       "        <td class=\"number\">2057</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2013-05-01</td>\n",
+       "        <td class=\"number\">2018</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2005-06-01</td>\n",
+       "        <td class=\"number\">1956</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2004-06-01</td>\n",
+       "        <td class=\"number\">1916</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (542)</td>\n",
+       "        <td class=\"number\">309670</td>\n",
+       "        <td class=\"number\">72.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">96622</td>\n",
+       "        <td class=\"number\">22.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">SALE_VALUE<br/>\n",
+       "            <small>Numeric</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>40903</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>9.6%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "\n",
+       "                <tr>\n",
+       "                    <th>Mean</th>\n",
+       "                    <td>212720</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>253490000</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"alert\">\n",
+       "                    <th>Zeros (%)</th>\n",
+       "                    <td>22.9%</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-6830112477044886234\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABUhJREFUeJzt3M9L1Hkcx/HXd2zEAXV0m/EHNNNQW9al0dAkxAxBTJhLEEuHolM/DkWBWNHBWOpihzp0KE/hOJ4UEgrFk/%2BAVgQ5NhjZt8AahFInXGT1vZdtdid33zpr3%2B93XF8P%2BILfr5/5fj/C58l85wdCHBCLxQQAN25ZbbFYzPa1ug0OCIVCAIBr164hEAisOT4vLw%2B1tbVwuVwWz4xyUTwex6lTp9Lrxk6OBOLxeAAAXV1d637MvXv3cOXKFaumRJvAt3VjJ0cC%2BebnX36Fxx9ac9xUXweSyaT1EyL6jqOBuAt/Qr63bM1xrjxHp0lbGG/qiRQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBTbnLjo4uIiACARbYfhWrvR35d%2Bw4cPH9DX17fua7hcLqysrPzwsVttfLbn9vl88Pv96x6/HvF4HMBf68ZW4oBYLCYAuHHLaovFYravVUNEBDabnZ3FyMgIQqEQPB6P3ZenTWZxcRHT09NobW2Fz%2Bez9dqOBEK0WfBFOpGCgRApLA1kamoKDQ0NqKqqQn19ffrdiO89ffoU%2B/fvR1VVFU6cOIFUKmXltChHtba2orq6GjU1NWhqasKLFy/%2BcZyt68XKdwCam5slGo2KiMjAwIDU1dWtGpNKpaS8vFwSiYSIiFy8eFE6OjqsnBblqLm5ufTPjx8/lnA4vGqM3evFskCSyaR4vV5ZXl5OH6uoqJA3b95kjOvv75e2trb0/sTEhOzYscOqadEm8ejRI6mpqVl13O71YtkHhe/fv0dlZSVcf/sgMBgMwjRN7Nq1K33MNE3s3LkzvR8KhfDx40esrKxkPJa2hjNnzmB0dBSGYWBoaGjV7%2B1eL1yBlFN6enpgmiZu376Nq1evOj0d6wIJBAKYmZnJ%2BJqCaZoIBoMZ44LBIKanp9P7b9%2B%2BXfXMQ1vP6dOnMTo6is%2BfP2cct3u9WLYK/X4/Dh48iN7eXgDAwMAAAoFAxu0VABw7dgzPnz9HIpEAADx48AAnT560alqUo%2Bbm5jAzM5PeHxwchM/nQ2lpacY429eLZa9uROT169dy%2BPBh2bt3r9TV1cmrV69ERKSzs1O6u7vT4548eSL79u2TPXv2yPHjx2V%2Bft7KaVEOevfunRw6dEgOHDgg4XBYWlpa5OXLlyLi7HrhV02IFLzRJ1IwECIFAyFSMBAiBQMhUjAQIgUDoax8/foVN2/eRFtbG7Zv3w6Xy4VoNLqhc46PjyMSiaCyshJFRUUIh8O4f/9%2BVv8swioMhLIyOzuLW7duYXJyEtXV1TAMY0Pne/bsGRoaGmCaJq5fv467d%2B9i9%2B7duHz5Mtrb23/QrDfAso8g6X9paWlJPn36JCIiY2NjYhiG9PT0/OfznT17VgoKCuTLly8Zx5uamqSkpGRDc/0R%2BAxCWXG73SgrK1vX2OHhYRw5cgSFhYUoLi5GJBLBxMRExpiFhQUUFBTA6/VmHK%2BoqMiJ/3jDQMgSvb29iEQiKCoqwp07d9DZ2Yl4PI7GxkaYppked/ToUczPz%2BPcuXOYnJyEaZp4%2BPAhBgcHcePGDQf/gj85/RRGm9e/3WKlUikpLS2VCxcuZBxPJpNSUlIi58%2BfTx9bXl6WS5cuSX5%2BvhiGIYZhiNvtzvhyopP%2BAIfJEX5CasBdAAAAAElFTkSuQmCC\">\n",
+       "\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-6830112477044886234,#minihistogram-6830112477044886234\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives-6830112477044886234\">\n",
+       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
+       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-6830112477044886234\"\n",
+       "                                                  aria-controls=\"quantiles-6830112477044886234\" role=\"tab\"\n",
+       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#histogram-6830112477044886234\" aria-controls=\"histogram-6830112477044886234\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#common-6830112477044886234\" aria-controls=\"common-6830112477044886234\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#extreme-6830112477044886234\" aria-controls=\"extreme-6830112477044886234\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
+       "\n",
+       "    </ul>\n",
+       "\n",
+       "    <div class=\"tab-content\">\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-6830112477044886234\">\n",
+       "            <div class=\"col-md-4 col-md-offset-1\">\n",
+       "                <p class=\"h4\">Quantile statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Minimum</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>5-th percentile</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q1</th>\n",
+       "                        <td>33278</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Median</th>\n",
+       "                        <td>132500</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q3</th>\n",
+       "                        <td>230000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>95-th percentile</th>\n",
+       "                        <td>540000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Maximum</th>\n",
+       "                        <td>253490000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Range</th>\n",
+       "                        <td>253490000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Interquartile range</th>\n",
+       "                        <td>196720</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "            <div class=\"col-md-4 col-md-offset-2\">\n",
+       "                <p class=\"h4\">Descriptive statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Standard deviation</th>\n",
+       "                        <td>1269600</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Coef of variation</th>\n",
+       "                        <td>5.9684</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Kurtosis</th>\n",
+       "                        <td>12880</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Mean</th>\n",
+       "                        <td>212720</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>MAD</th>\n",
+       "                        <td>186400</td>\n",
+       "                    </tr>\n",
+       "                    <tr class=\"alert\">\n",
+       "                        <th>Skewness</th>\n",
+       "                        <td>91.079</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Sum</th>\n",
+       "                        <td>90992000000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Variance</th>\n",
+       "                        <td>1611800000000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Memory size</th>\n",
+       "                        <td>3.3 MiB</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-6830112477044886234\">\n",
+       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtcVHX%2BP/DXDAMyDIgyeBmI3FRYQ0sU5buLpkgQiIoPNxjF1NVMDEW8fdGii37ziyuKiKuBuEu7soiugkrmqoWXvFIi8NUsNLcsLpM1UshluM75/eGD8/M0g5dtgNDX8/HwQXzO67w/H05/8H6c8%2BGMTBAEAURERERkMfLOXgARERHRo4YNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgvrsAYrPj4ecrkczz77rGR8zpw5kMvlJv88PT3N1klPT4enpyeUSiU8PDywdetWs7mqqipERkaid%2B/esLe3h7%2B/P4qKisxmz507h9GjR0OlUkGj0WDx4sWora01yQmCgPXr16N///5QKpUYOnQodu/e/ZBXgoiIiB51io6YpLy8HH/6059gb29v9ritrS3S09MhCII45ujoaJJLS0tDVFQUwsPDsXz5cpw%2BfRoxMTEwGAyIjY0Vc4IgICQkBJcvX8aKFSugVquRkpICPz8/FBYWYsCAAWK2uLgYAQEB8PT0xKZNm1BWVoYNGzbg%2BvXrOHTokGT%2BuLg4JCQkYP78%2BRgxYgRyc3Mxffp0yOVyaLXaX3qZiIiI6FEhdICpU6cKAQEBgp%2Bfn/DMM89Ijs2ePVtwcHC4bw2DwSA4OzsLoaGhkvEZM2YIDg4Owk8//SSO/fOf/xRkMpmwb98%2BceyHH34QevbsKbz00kuS88ePHy%2B4uroKNTU14thf//pXQS6XCx999JE4Vl5eLtjY2AgxMTGS88eMGSM8%2BeSTgtFovO/PQERERI%2BHdn9EeOrUKezbtw/Jycn3zBmNRlRXV7d5/MSJE6isrMSCBQsk4wsXLkRNTY3kblNOTg769u2LKVOmiGPOzs7QarXIzc1FU1MTAKC6uhp5eXmYOXMmVCqVmJ01axZUKhX27Nkjjh04cADNzc2IioqSzB8VFYWysjKcP3/%2Bnj8fERERPT7atcEyGo2IiYnBvHnzMHjw4DZzdXV16N69OxwdHaFWqxEdHW2yB6p1/5S3t7dk3NvbG3K5XLK/qqioCMOHDzeZx8fHB3V1dbh27RoA4PLly2hubjapaW1tDS8vL0nN4uJiqFQqDBo0yKSmIAht7u8iIiKix0%2B77sFKTU3Ft99%2Bi%2BPHj7eZcXFxwYoVKzB8%2BHAYjUYcOXIEKSkpuHTpEk6ePAm5/E4PqNPpYGVlBWdnZ8n51tbWUKvVqKioEMd0Oh3Gjh1rMpdGowEAVFRUYPDgwdDpdJDJZOL4z7NnzpyR1OzTp889axIREREB7dhgVVZWYtWqVXj77bfh5OTUZi4%2BPl7yvVarhbu7O958801kZ2eLm8cNBgNsbGzM1rC1tYXBYBC/NxgM6Natm9mcIAhitvVrW9kHrXl3LSIiIqJ2a7DeeOMN8XHfw1q6dCneeust5OXliQ2WUqlEY2Oj2Xx9fT2USqX4vVKpRENDg9mcTCYTs61f28o%2BaM27a5mj1%2Btx9OhR/OY3v7lnjoiIiCzHYDDgxo0bCAoKMnkC1t7apcG6fv06/vKXv2Dz5s0oLy8HcOfVCfX19WhqasI333yD7t27o2fPnmbPt7W1hVqtRmVlpTim0WjQ0tICvV4vuUhNTU24desWXFxcJFmdTmdSt3WsNavRaCAIQpvZn9c8efLkfWuac/ToUcyYMaPN40RERNR%2BMjMz8dJLL3XonO3SYJWXl0MQBMTExGDRokUmx/v374/FixcjKSnJ7Pk1NTXQ6/Xo1auXOObl5QVBEFBQUIDg4GBx/MKFCzAajfDy8pJk794/1So/Px92dnbw8PAAAAwZMgQKhQIFBQUICwsTc01NTSguLsbUqVMlNdPT01FSUiLZ6J6fnw%2BZTCaZ/%2Bd%2B85vfALjzP/jpp59uM0dtW7p0KTZt2tTZy%2BiyeP1%2BGV6/X4bX75fh9fvPffHFF5gxY4b4e7gjtUuDNWTIEOzfv99k/I033kBNTQ3%2B/Oc/o3///mhoaEBTU5PJC0jfeecdAMD48ePFMX9/fzg5OSE1NVXSYKWmpkKlUmHChAniWFhYGHJycrBv3z784Q9/AHDnMV12djZCQ0NhbW0NAOjevTsCAgKQmZmJt956S3xVQ0ZGBmprayUvD508eTKWLl2KlJQU/PnPfxbHt23bBldXV/j6%2BrZ5PVofCz799NNm/7qR7s/R0ZHX7hfg9ftleP1%2BGV6/X4bX75frjO057dJgqdVqhIaGmoxv2rQJMpkMkyZNAgB88803GDZsGCIiIsS7QkeOHMHhw4cREhIiqWFra4s1a9YgOjoaWq0WQUFBOHXqFLKysrB27Vr06NFDzIaFhSE5ORlz5szBlStX4OzsjJSUFBiNRqxevVqypvj4eIwaNQpjxoxBZGQkSktLkZSUhKCgIAQGBoo5V1dXLFmyBImJiWhsbMTIkSOxf/9%2BnD17FllZWZDJZJa8hERERNSFdchH5dzt7kakR48emDRpEvLy8pCRkYGWlhYMHDgQ69atw/Lly03OjYqKgo2NDTZu3IiDBw/Czc0NycnJJo8h5XI5Dh8%2BjNjYWGzZsgUGgwE%2BPj7IyMiAu7u7JDts2DDk5eVh5cqVWLZsGRwcHDBv3jysXbvWZP6EhAQ4OTkhLS0NO3bsgLu7O3bu3Cl5lEhERETUoQ3WiRMnJN87Ojpix44dD1Vj7ty5mDt37n1zjo6O2L59O7Zv337frK%2BvL06fPv1A869cuRIrV658oCwRERE9ntr9o3KILCEiIqKzl9Cl8fr9Mrx%2Bvwyv3y/D69c1yQRBEDp7EY%2B6wsJCeHt74%2BLFi9yoSERE1EE68/cv72ARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbW4R%2BV8zib/tIM2NnZdfYyzNJoNMjamQlHR8fOXgoREVGXxwarA9009oTC%2BOtrYFoaalF06AMUFhZi3Lhxnb0cIiKiLo8NVgfSjI6AXd%2BBnb0MEw0/VuDHL0519jKIiIgeGdyDRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyswxqs%2BPh4yOVyPPvssybHSkpKEBwcDAcHB6jVasyaNQt6vd5snfT0dHh6ekKpVMLDwwNbt241m6uqqkJkZCR69%2B4Ne3t7%2BPv7o6ioyGz23LlzGD16NFQqFTQaDRYvXoza2lqTnCAIWL9%2BPfr37w%2BlUomhQ4di9%2B7dD3EViIiI6HHQIQ1WeXk5/vSnP8He3t7sseeeew5fffUV1q1bh9jYWBw6dAgvvPACmpubJdm0tDTMmzcPzzzzDLZu3QpfX1/ExMRgw4YNkpwgCAgJCcHu3bvF4z/88AP8/Pzw73//W5ItLi5GQEAA6uvrsWnTJsybNw/bt2%2BHVqs1WWtcXBxee%2B01BAUFYevWrejXrx%2BmT5%2BOPXv2WOAqERER0aOiQz7sefny5fj973%2BP5uZm3Lp1S3IsPj4eBoMBxcXFcHV1BQCMHDkSgYGB%2BPvf/45XXnkFAFBfX48333wTkyZNwj//%2BU8AwNy5c9HS0oI1a9YgMjISjo6OAIC9e/fi/PnzyMnJwZQpUwAA4eHh8PDwwKpVq5CZmSnOHxcXBycnJ3z88cdQqVQAgH79%2BiEyMhJ5eXkICAgAAFRUVCApKQmLFi3C5s2bxfnHjh2L2NhYhIeHQyaTtdclJCIioi6k3e9gnTp1Cvv27UNycrLZ4/v27cPEiRPF5goAnn/%2BeXh4eEjuDJ04cQKVlZVYsGCB5PyFCxeipqYGhw4dEsdycnLQt29fsbkCAGdnZ2i1WuTm5qKpqQkAUF1djby8PMycOVNsrgBg1qxZUKlUkvkPHDiA5uZmREVFSeaPiopCWVkZzp8//zCXhYiIiB5h7dpgGY1GxMTEYN68eRg8eLDJ8YqKCnz//fcYMWKEyTEfHx/JnqnW//b29pbkvL29IZfLTbLDhw83W7Ourg7Xrl0DAFy%2BfBnNzc0mNa2treHl5SWpWVxcDJVKhUGDBpnUFAShzf1dRERE9Php1wYrNTUV3377LdasWWP2uE6nAwBoNBqTYxqNBpWVleLdJp1OBysrKzg7O0ty1tbWUKvVqKiokNRtqyYAMavT6SCTydrM/rxmnz597luTiIiIqN0arMrKSqxatQpvv/02nJyczGYMBgMAoFu3bibHbG1tJRmDwQAbGxuzdWxtbcVca7atmoIgSGrea/4HrXl3LSIiIqJ2a7DeeOMNqNVqREdHt5lRKpUAgIaGBpNj9fX1koxSqURjY6PZOvX19WKuNdtWTZlMJql5r/kftObdtYiIiIja5a8Ir1%2B/jr/85S/YvHkzysvLAdx5dUJ9fT2amprwzTffoHv37uLjtdZHhXfT6XRwcnKCtbU1gDuP4lpaWqDX6yWPCZuamnDr1i24uLiIYxqNps2aAMSsRqOBIAhtZn9e8%2BTJk/eteS%2BlH6XBylYlGXPy9IPTYL/7nktERERt27VrF3bt2iUZq6qq6qTVtFODVV5eDkEQEBMTg0WLFpkc79%2B/PxYvXoykpCT06tULBQUFJplPP/0UXl5e4vdeXl4QBAEFBQUIDg4Wxy9cuACj0WiSPXPmjEnN/Px82NnZwcPDAwAwZMgQKBQKFBQUICwsTMw1NTWhuLgYU6dOldRMT09HSUmJZKN7fn4%2BZDKZZP62uAXOh13fgffNERER0cOJiIhARESEZKywsNDkD9k6Srs8IhwyZAj279%2BP/fv348CBA%2BK/wYMHo1%2B/fjhw4ADmzp0LAHjxxRfxwQcfiHe6AODYsWO4du2a5GWf/v7%2BcHJyQmpqqmSu1NRUqFQqTJgwQRwLCwvDzZs3sW/fPnFMr9cjOzsboaGh4l2x7t27IyAgAJmZmZI3t2dkZKC2tlYy/%2BTJk6FQKJCSkiKZf9u2bXB1dYWvr%2B8vuWRERET0CGmXO1hqtRqhoaEm45s2bYJMJsOkSZPEsbi4OGRnZ8PPzw%2BLFy9GdXU1EhMTMXToUMyePVvM2draYs2aNYiOjoZWq0VQUBBOnTqFrKwsrF27Fj169BCzYWFhSE5Oxpw5c3DlyhU4OzsjJSUFRqMRq1evlqwpPj4eo0aNwpgxYxAZGYnS0lIkJSUhKCgIgYGBYs7V1RVLlixBYmIiGhsbMXLkSOzfvx9nz55FVlYWXzJKREREog55k/vdft6IPPHEE/j444%2BxbNkyvP7667CxscHEiRORmJgo3mlqFRUVBRsbG2zcuBEHDx6Em5sbkpOTTR5DyuVyHD58GLGxsdiyZQsMBgN8fHyQkZEBd3d3SXbYsGHIy8vDypUrsWzZMjg4OGDevHlYu3atydoTEhLg5OSEtLQ07NixA%2B7u7ti5c6fkUSIRERGRTBAEobMX8ahrfQb89MtbfpV7sBp%2BrMBnqXNx/PhxjBs3rrOXQ0REZBGtv38vXrxo9gXk7alDPuyZiIiI6HHCBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGHt1mB9/vnn0Gq1GDBgAFQqFXr16oWxY8figw8%2BkOTmzJkDuVxu8s/T09Ns3fT0dHh6ekKpVMLDwwNbt241m6uqqkJkZCR69%2B4Ne3t7%2BPv7o6ioyGz23LlzGD16NFQqFTQaDRYvXoza2lqTnCAIWL9%2BPfr37w%2BlUomhQ4di9%2B7dD3lliIiI6FGnaK/C33zzDWpqajB79my4uLigrq4OOTk5CA0Nxfbt2/HKK6%2BIWVtbW6Snp0MQBHHM0dHRpGZaWhqioqIQHh6O5cuX4/Tp04iJiYHBYEBsbKyYEwQBISEhuHz5MlasWAG1Wo2UlBT4%2BfmhsLAQAwYMELPFxcUICAiAp6cnNm3ahLKyMmzYsAHXr1/HoUOHJPPHxcUhISEB8%2BfPx4gRI5Cbm4vp06dDLpdDq9Va8vIRERFRFyYT7u5q2pkgCBg%2BfDgaGhrw%2BeefA7hzBysnJwe3b9%2B%2B57n19fVwc3ODr68vcnNzxfGZM2ciNzcXpaWlYlO2Z88eTJs2DTk5OZgyZQoAQK/Xw8PDAyEhIcjMzBTPDwkJwaVLl3D16lWoVCoAd%2B6SRUZG4ujRowgICAAAVFRU4KmnnsKrr76KzZs3i%2BePHTsWN27cwI0bNyCTycyuvbCwEN7e3nj65S2w6zvwYS9bu2v4sQKfpc7F8ePHMW7cuM5eDhERkUW0/v69ePEihg8f3qFzd%2BgeLJlMBjc3N/z0008mx4xGI6qrq9s898SJE6isrMSCBQsk4wsXLkRNTY3kblNOTg769u0rNlcA4OzsDK1Wi9zcXDQ1NQEAqqurkZeXh5kzZ4rNFQDMmjULKpUKe/bsEccOHDiA5uZmREVFSeaPiopCWVkZzp8//4BXgYiIiB517d5g1dXV4datW/jqq6%2BwadMmHD58WLwrdHeme/fucHR0hFqtRnR0tMkeqNb9U97e3pJxb29vyOVyyf6qoqIis52qj48P6urqcO3aNQDA5cuX0dzcbFLT2toaXl5ekprFxcVQqVQYNGiQSU1BENrc30VERESPn3bbg9Vq%2BfLlSEtLAwDI5XK8%2BOKL2LJli3jcxcUFK1aswPDhw2E0GnHkyBGkpKTg0qVLOHnyJOTyOz2gTqeDlZUVnJ2dJfWtra2hVqtRUVEhjul0OowdO9ZkLRqNBsCdx32DBw%2BGTqeDTCYTx3%2BePXPmjKRmnz597lmTiIiICOiABmvp0qUIDw9HRUUF9uzZg5aWFjQ0NIjH4%2BPjJXmtVgt3d3e8%2BeabyM7OFjePGwwG2NjYmJ3D1tYWBoNB/N5gMKBbt25mc4IgiNnWr21lH7Tm3bWIiIiI2v0RoYeHB/z9/TFjxgy8//77qK6uRmho6D3PWbp0KWQyGfLy8sQxpVKJxsZGs/n6%2BnoolUpJ9u4m7u6cTCYTs61f28o%2BaM27axERERG1%2Bx2snwsLC8Orr76KL7/8Eu7u7mYztra2UKvVqKysFMc0Gg1aWlqg1%2Bsljwmbmppw69YtuLi4SLI6nc6kbutYa1aj0UAQhDazP6958uTJ%2B9a8l9KP0mBlq5KMOXn6wWmw333PJSIiorbt2rULu3btkoxVVVV10mo6ocFqfZR2rx%2B6pqYGer0evXr1Ese8vLwgCAIKCgoQHBwsjl%2B4cAFGoxFeXl6S7N37p1rl5%2BfDzs4OHh4eAIAhQ4ZAoVCgoKAAYWFhYq6pqQnFxcWYOnWqpGZ6ejpKSkokG93z8/Mhk8kk87fFLXD%2Br/I1DURERF1dREQEIiIiJGOtr2noDO32iPCHH34wGWtubsaOHTugVCrh6emJhoYG1NTUmOTeeecdAMD48ePFMX9/fzg5OSE1NVWSTU1NhUqlwoQJE8SxsLAw3Lx5E/v27RPH9Ho9srOzERoaCmtrawBA9%2B7dERAQgMzMTMlfLWZkZKC2tlby8tDJkydDoVAgJSVFMv%2B2bdvg6uoKX1/fB7ouRERE9OhrtztY8%2BfPx%2B3btzFmzBi4urriu%2B%2B%2Bw86dO3H16lUkJSXBzs4O33zzDYYNG4aIiAjxrtCRI0dw%2BPBhhISESPZq2draYs2aNYiOjoZWq0VQUBBOnTqFrKwsrF27Fj169BCzYWFhSE5Oxpw5c3DlyhU4OzsjJSUFRqMRq1evlqwzPj4eo0aNwpgxYxAZGYnS0lIkJSUhKCgIgYGBYs7V1RVLlixBYmIiGhsbMXLkSOzfvx9nz55FVlZWmy8ZJSIiosdPuzVY06ZNQ3p6OrZt24Zbt27BwcEB3t7e2LBhg3i3qUePHpg0aRLy8vKQkZGBlpYWDBw4EOvWrcPy5ctNakZFRcHGxgYbN27EwYMH4ebmhuTkZCxatEiSk8vlOHz4MGJjY7FlyxYYDAb4%2BPggIyPDZN/XsGHDkJeXh5UrV2LZsmVwcHDAvHnzsHbtWpP5ExIS4OTkhLS0NOzYsQPu7u7YuXOn5FEiERERUYd%2BVM7jih%2BVQ0RE1PEem4/KISIiInocsMEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2u3Buvzzz%2BHVqvFgAEDoFKp0KtXL4wdOxYffPCBSbakpATBwcFwcHCAWq3GrFmzoNfrzdZNT0%2BHp6cnlEolPDw8sHXrVrO5qqoqREZGonfv3rC3t4e/vz%2BKiorMZs%2BdO4fRo0dDpVJBo9Fg8eLFqK2tNckJgoD169ejf//%2BUCqVGDp0KHbv3v0QV4WIiIgeB%2B3WYH3zzTeoqanB7Nmz8ec//xlvv/02ZDIZQkND8de//lXMlZeX47nnnsNXX32FdevWITY2FocOHcILL7yA5uZmSc20tDTMmzcPzzzzDLZu3QpfX1/ExMRgw4YNkpwgCAgJCcHu3bvF4z/88AP8/Pzw73//W5ItLi5GQEAA6uvrsWnTJsybNw/bt2%2BHVqs1%2BZni4uLw2muvISgoCFu3bkW/fv0wffp07Nmzx4JXjoiIiLo6mSAIQkdNJggChg8fjoaGBnz%2B%2BecAgAULFiAjIwNXr16Fq6srAODYsWMIDAzE9u3b8corrwAA6uvr4ebmBl9fX%2BTm5oo1Z86cidzcXJSWlsLR0REAsGfPHkybNg05OTmYMmUKAECv18PDwwMhISHIzMwUzw8JCcGlS5dw9epVqFQqAHfukkVGRuLo0aMICAgAAFRUVOCpp57Cq6%2B%2Bis2bN4vnjx07Fjdu3MCNGzcgk8nM/tyFhYXw9vbG0y9vgV3fgRa5lpbU8GMFPkudi%2BPHj2PcuHGdvRwiIiKLaP39e/HiRQwfPrxD5%2B7QPVgymQxubm746aefxLF9%2B/Zh4sSJYnMFAM8//zw8PDwkd4ZOnDiByspKLFiwQFJz4cKFqKmpwaFDh8SxnJwc9O3bV2yuAMDZ2RlarRa5ubloamoCAFRXVyMvLw8zZ84UmysAmDVrFlQqlWT%2BAwcOoLm5GVFRUZL5o6KiUFZWhvPnz/%2Bnl4WIiIgeMe3eYNXV1eHWrVv46quvsGnTJhw%2BfFhyV%2Bj777/HiBEjTM7z8fGR7Jlq/W9vb29JztvbG3K53CRrrlP18fFBXV0drl27BgC4fPkympubTWpaW1vDy8tLUrO4uBgqlQqDBg0yqSkIQpv7u4iIiOjx0%2B4N1vLly9GrVy8MHDgQsbGx%2BMMf/oAtW7YAAHQ6HQBAo9GYnKfRaFBZWSnebdLpdLCysoKzs7MkZ21tDbVajYqKCnFMp9O1WROAmNXpdJDJZG1mf16zT58%2B961JREREpGjvCZYuXYrw8HBUVFRgz549aGlpQUNDAwDAYDAAALp162Zynq2trZixtraGwWCAjY2N2TlsbW3FWq3ntFVTEAQxe7/5H7Tm3bWIiIiI2v0OloeHB/z9/TFjxgy8//77qK6uRmhoKABAqVQCgNhw3a2%2Bvl6SUSqVaGxsNDtHfX29mGvNtlVTJpNJat5r/geteXctIiIiona/g/VzYWFhePXVV/Hll1%2BKj9daHxXeTafTwcnJCdbW1gDuPIpraWmBXq%2BXPCZsamrCrVu34OLiIo5pNJo2awIQsxqNBoIgtJn9ec2TJ0/et%2Ba9lH6UBitblWTMydMPToP97nsuERERtW3Xrl3YtWuXZKyqqqqTVtMJDVbro7Sqqiq4u7ujV69eKCgoMMl9%2Bumn8PLyEr/38vKCIAgoKChAcHCwOH7hwgUYjUaT7JkzZ0xq5ufnw87ODh4eHgCAIUOGQKFQoKCgAGFhYWKuqakJxcXFmDp1qqRmeno6SkpKJBvd8/PzIZPJJPO3xS1w/q/yNQ1ERERdXUREBCIiIiRjra9p6Azt9ojwhx9%2BMBlrbm7Gjh07oFQq4enpCQB48cUX8cEHH6C8vFzMHTt2DNeuXZO87NPf3x9OTk5ITU2V1ExNTYVKpcKECRPEsbCwMNy8eRP79u0Tx/R6PbKzsxEaGireFevevTsCAgKQmZkpeXN7RkYGamtrJfNPnjwZCoUCKSkpkvm3bdsGV1dX%2BPr6PtT1ISIiokdXu93Bmj9/Pm7fvo0xY8bA1dUV3333HXbu3ImrV68iKSkJdnZ2AO68HT07Oxt%2Bfn5YvHgxqqurkZiYiKFDh2L27NliPVtbW6xZswbR0dHQarUICgrCqVOnkJWVhbVr16JHjx5iNiwsDMnJyZgzZw6uXLkCZ2dnpKSkwGg0YvXq1ZJ1xsfHY9SoURgzZgwiIyNRWlqKpKQkBAUFITAwUMy5urpiyZIlSExMRGNjI0aOHIn9%2B/fj7NmzyMrKavMlo0RERPT4abcGa9q0aUhPT8e2bdtw69YtODg4wNvbGxs2bJDcbXriiSfw8ccfY9myZXj99ddhY2ODiRMnIjExUbzT1CoqKgo2Njal48ZWAAAgAElEQVTYuHEjDh48CDc3NyQnJ2PRokWSnFwux%2BHDhxEbG4stW7bAYDDAx8cHGRkZcHd3l2SHDRuGvLw8rFy5EsuWLYODgwPmzZuHtWvXmvxMCQkJcHJyQlpaGnbs2AF3d3fs3LlT8iiRiIiIqEM/KudxxY/KISIi6niPzUflEBERET0O2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMPmkSZOwZ88eNDQ0dPZaiIiIiB4J8s8//xzTpk1Dnz59MHfuXJw8ebKz10RERETUpcn//e9/4%2BzZs3jppZdw8OBBPP/883jyySfx%2Buuv47PPPuvs9RERERF1OXIA%2BP3vf493330XOp0O77//PkaNGoUtW7Zg6NCh8PLyQlJSEnQ6XWevlYiIiKhLkGxyt7KywoQJE7Br1y6UlZUhLCwMly5dQmxsLJ588kkEBwfj6NGjnbVWIiIioi7B5K8I8/PzER0dDQ8PD%2BzduxdPP/004uPjsW7dOpSWliIkJAT/8z//0xlrJSIiIuoSFABw7do1ZGZmIisrC19//TWcnZ0RERGBmTNnYsSIEWJ4%2BfLlmDt3LrZs2YJVq1Z12qKJiIiIfs0UI0aMQFFREWxsbDBx4kRs2rQJ48ePh0KhMHtCQEAA/va3v3XwMomIiIi6DoWtrS1SUlIwdepU9OjR474nhIaG4ssvv%2ByApRERERF1TYozZ8481AkqlQoDBgxop%2BUQERERdX3y4uJipKWltRnYvn07Ll261IFLIiIiIura5HFxcTh8%2BHCbgaNHj%2BKNN97owCURERERdW3ygoICjBkzps3Ac889hwsXLnTgkoiIiIi6Nnl1dTVsbGzaDFhZWaGqqqoDl0RERETUtcnd3d3x0UcftRn48MMP8dRTTz104YKCAkRHR2PIkCGwt7dHv379MHXqVJO/QJwzZw7kcrnJP09PT7N109PT4enpCaVSCQ8PD2zdutVsrqqqCpGRkejduzfs7e3h7%2B%2BPoqIis9lz585h9OjRUKlU0Gg0WLx4MWpra01ygiBg/fr16N%2B/P5RKJYYOHYrdu3c/5JUhIiKiR51izpw5WL58OVasWIG33noLDg4OAIDbt29jzZo1%2BNe//oWEhISHLpyQkIBz584hPDwczz77LL777jts2bIFw4cPxyeffCJpoGxtbZGeng5BEMQxR0dHk5ppaWmIiopCeHg4li9fjtOnTyMmJgYGgwGxsbFiThAEhISE4PLly1ixYgXUajVSUlLg5%2BeHwsJCyV9BFhcXIyAgAJ6enti0aRPKysqwYcMGXL9%2BHYcOHZLMHxcXh4SEBMyfPx8jRoxAbm4upk%2BfDrlcDq1W%2B9DXiIiIiB5NMqPRKMyaNQs7d%2B6EQqHAE088AQAoKytDc3MzIiIikJmZCZlM9lCF8/PzMWLECMkLS69fv45nnnkG4eHhyMjIAHDnDlZOTg5u3759z3r19fVwc3ODr68vcnNzxfGZM2ciNzcXpaWlYlO2Z88eTJs2DTk5OZgyZQoAQK/Xw8PDAyEhIcjMzBTPDwkJwaVLl3D16lWoVCoAd%2B6SRUZG4ujRowgICAAAVFRU4KmnnsKrr76KzZs3i%2BePHTsWN27cwI0bN9q8RoWFhfD29sbTL2%2BBXd%2BBD3wNO0rDjxX4LHUujh8/jnHjxnX2coiIiCyi9ffvxYsXMXz48A6dWy6TyfCPf/wDR48excsvv4yBAwdi4MCBmDt3Lj788EPs3LnzoZsrAPjd735n8jb4gQMHYvDgwfjiiy9M8kajEdXV1W3WO3HiBCorK7FgwQLJ%2BMKFC1FTUyO525STk4O%2BffuKzRUAODs7Q6vVIjc3F01NTQCA6upq5OXlYebMmWJzBQCzZs2CSqXCnj17xLEDBw6gubkZUVFRkvmjoqJQVlaG8%2BfP3%2BtyEBER0WNE/LDnwMBAbNu2DR9%2B%2BCE%2B/PBDpKamindvLOnmzZtwdnaWjNXV1aF79%2B5wdHSEWq1GdHS0yR6o1v1T3t7eknFvb2/I5XLJ/qqioiKznaqPjw/q6upw7do1AMDly5fR3NxsUtPa2hpeXl6SmsXFxVCpVBg0aJBJTUEQ2tzfRURERI8f%2Bf0jlpOZmYny8nJMmzZNHHNxccGKFSvw97//Hbt378bkyZORkpKC8ePHw2g0ijmdTgcrKyuT5sza2hpqtRoVFRWSrEajMZm/daw1q9PpIJPJ2sz%2BvGafPn3uW5OIiIhIAdzZc5Seno6vvvoKP/74o2SzOQDIZDI0NDT8oolKSkoQHR2NUaNGYdasWeJ4fHy8JKfVauHu7o4333wT2dnZ4uZxg8HQ5uskbG1tYTAYxO8NBgO6detmNicIgpht/dpW9kFr3l2LiIiISPHaa69hw4YNeOaZZxAWFoaePXtafJKbN29iwoQJ6NmzJ/bu3XvfPV1Lly7FW2%2B9hby8PLHBUiqVaGxsNJuvr6%2BHUqkUv1cqlWYbwvr6eshkMjHb%2BrWt7IPWvLsWERERkeK9997DlClTkJ2d3S4T3L59G8HBwbh9%2BzbOnDmDvn373vccW1tbqNVqVFZWimMajQYtLS3Q6/WSx4RNTU24desWXFxcJFmdTmdSt3WsNavRaCAIQpvZn9c8efLkfWveS%2BlHabCyVUnGnDz94DTY777nEhERUdt27dqFXbt2ScY680XpCoPBgBdeeKFdijc0NGDixIm4fv06jh07ht/%2B9rcPdF5NTQ30ej169eoljnl5eUEQBBQUFCA4OFgcv3DhAoxGI7y8vCTZM2fOmNTNz8%2BHnZ0dPDw8AABDhgyBQqFAQUEBwsLCxFxTUxOKi4sxdepUSc309HSUlJRINrrn5%2BdDJpNJ5m%2BLW%2BD8X%2BVrGoiIiLq6iIgIRERESMZaX9PQGeTjxo3DxYsXLV7YaDRCq9Xik08%2BQXZ2Nnx8fEwyDQ0NqKmpMRl/5513AADjx48Xx/z9/eHk5ITU1FRJNjU1FSqVChMmTBDHwsLCcPPmTezbt08c0%2Bv1yM7ORmhoKKytrQEA3bt3R0BAADIzMyV/tZiRkYHa2lrJy0MnT54MhUKBlJQUyfzbtm2Dq6srfH19H%2Bi6EBER0aNPkZKSghdeeAHr169HZGQkevToYZHCy5Ytw8GDBxEaGgq9Xo%2BdO3dKjr/00kv47rvvMGzYMERERIh3hY4cOYLDhw8jJCQEoaGhYt7W1hZr1qxBdHQ0tFotgoKCcOrUKWRlZWHt2rWSdYeFhSE5ORlz5szBlStX4OzsjJSUFBiNRqxevVqyjvj4eIwaNQpjxoxBZGQkSktLkZSUhKCgIAQGBoo5V1dXLFmyBImJiWhsbMTIkSOxf/9%2BnD17FllZWf/Ru8KIiIjo0STr0aOH0NzcjLq6OgCAvb09rKyspCGZDLdu3XqowuPGjcOpU6faPN7S0oKqqirExMQgPz8fFRUVaGlpwcCBAzFjxgwsX77cZB3Anb943LhxI77%2B%2Bmu4ublh0aJFWLRokUmuqqoKsbGxOHDgAAwGA3x8fJCYmIhhw4aZZM%2BdO4eVK1eisLAQDg4OmDp1KtauXSt5%2BWirhIQEpKWlQafTwd3dHXFxcZLXTpjDN7kTERF1vM58k7vspZdeEh7k7ss//vGPDljOo4kNFhERUcfrzAZLcffn8hERERHRL9ehb3InIiIiehzIAaCsrAzR0dEYPHgwevXqhdOnTwO485d3y5YtQ3FxcacukoiIiKgrUZSUlOC5555DU1MTRo4ciZKSEjQ1NQEAnJ2dceLECdy%2BfRt//etfO3mpRERERF2DYsWKFbC3t0d%2Bfj6srKzQu3dvSWDChAnYu3dvJy2PiIiIqOuRf/zxx1iwYAH69Olj9l1O/fr1Q3l5eScsjYiIiKhrkre0tJh931MrvV4vvvmciIiIiO5PPmzYMBw5csTswZaWFuzevRv/9V//1cHLIiIiIuq65K%2B99hoOHTqERYsWoaSkBMCdu1YnT55EcHAwPv/8c7z22mudvEwiIiKirkMxYcIEpKenY8mSJeIHGbd%2BGrW9vT3ee%2B89%2BPn5deISiYiIiLoWBQDMnj0bL774Io4cOYLr16/DaDRiwIABGD9%2BPBwdHTt7jURERERdiqL1PxwcHBAeHt6ZayEiIiJ6JCgqKioeKOji4tLOSyEiIiJ6NCieeOIJs%2B%2B/%2BrmWlpYOWA4RERFR16fYvn27SYPV0tKCGzdu4B//%2BAc0Gg3mz5/fScsjIiIi6noUr7zySpsH4%2BLi4OPjg/r6%2Bg5cEhEREVHXJr/XQXt7e7z88svYuHFjR62HiIiIqMu7Z4PVSqfTtfc6iIiIiB4ZirYO1NXV4dSpU0hMTISXl1dHromIiIioS1NYW1ub/SvClpYWCIIAV1dXvPvuu52wNCIiIqKuSbFy5UqTBksmk6Fnz57i29ytra07aXlEREREXY/if//3fzt7DURERESPlAfa5P6fKCgoQHR0NIYMGQJ7e3v069cPU6dOxZdffmmSLSkpQXBwMBwcHKBWqzFr1izo9XqzddPT0%2BHp6QmlUgkPDw9s3brVbK6qqgqRkZHo3bs37O3t4e/vj6KiIrPZc%2BfOYfTo0VCpVNBoNFi8eDFqa2tNcoIgYP369ejfvz%2BUSiWGDh2K3bt3P8RVISIioseBIjIy8qFPkslkSEtLu2cmISEB586dQ3h4OJ599ll899132LJlC4YPH45PPvkEnp6eAIDy8nI899xz6NmzJ9atW4fq6mps2LABn332GT799FMoFP9/H35aWhqioqIQHh6O5cuX4/Tp04iJiYHBYEBsbKyYEwQBISEhuHz5MlasWAG1Wo2UlBT4%2BfmhsLAQAwYMELPFxcUICAiAp6cnNm3ahLKyMmzYsAHXr1/HoUOHJD9TXFwcEhISMH/%2BfIwYMQK5ubmYPn065HI5tFrtQ19HIiIiejTJnnjiCcFgMKCyshLAnQ99BoDq6moAgJOTE5RKpfQkmQzffvvtPQvn5%2BdjxIgRkgbp%2BvXreOaZZxAeHo6MjAwAwIIFC5CRkYGrV6/C1dUVAHDs2DEEBgZi%2B/btaH0Ran19Pdzc3ODr64vc3Fyx5syZM5Gbm4vS0lI4OjoCAPbs2YNp06YhJycHU6ZMAQDo9Xp4eHggJCQEmZmZ4vkhISG4dOkSrl69CpVKBeDOXbLIyEgcPXoUAQEBAICKigo89dRTePXVV7F582bx/LFjx%2BLGjRu4ceNGmx85VFhYCG9vbzz98hbY9R14z%2BvWGRp%2BrMBnqXNx/PhxjBs3rrOXQ0REZBGtv38vXryI4cOHd%2Bjc8o8%2B%2Bgh2dnZYsWIFKioqUFVVhaqqKlRUVCA2NhYqlQp5eXkoLS0V/92vuQKA3/3ud5LmCgAGDhyIwYMH44svvhDH9u3bh4kTJ4rNFQA8//zz8PDwwJ49e8SxEydOoLKyEgsWLJDUXLhwIWpqaiR3m3JyctC3b1%2BxuQIAZ2dnaLVa5ObmoqmpCcCdJjIvLw8zZ84UmysAmDVrFlQqlWT%2BAwcOoLm5GVFRUZL5o6KiUFZWhvPnz9/3mhAREdHjQR4dHY3AwECsW7cOffv2FQ/07dsXCQkJCAgIQHR0tMUmvHnzJpydnQHcuSv0/fffY8SIESY5Hx8fyZ6p1v/29vaW5Ly9vSGXy02y5jpVHx8f1NXV4dq1awCAy5cvo7m52aSmtbU1vLy8JDWLi4uhUqkwaNAgk5qCILS5v4uIiIgeP/LWR3ltGTFihMXuzmRmZqK8vBzTpk0D8P/fEK/RaEyyGo0GlZWV4t0mnU4HKysrsTlrZW1tDbVajYqKCnFMp9O1WROAmNXpdJDJZG1mf16zT58%2B961JREREJO/RoweOHj3aZuDw4cPi3qZfoqSkBNHR0Rg1ahRmzZoFADAYDACAbt26meRtbW0lGYPBABsbG7O1bW1txVxrtq2agiBIat5r/geteXctIiIiInlkZCTef/99vPjiizh58iTKyspQVlaGEydO4A9/%2BAMOHTqE%2BfPn/6JJbt68iQkTJqBnz57Yu3evuBm8dfN8Q0ODyTn19fWSjFKpRGNjo9n69fX1ko34SqWyzZoymUxS817zP2jNu2sRERERKd566y0YDAZs3LgRBw4ckBy0srLCf//3f%2BPtt9/%2Bjye4ffs2goODcfv2bZw5c0ayz6v18Zq5D5PW6XRwcnIS3yKv0WjQ0tICvV4veUzY1NSEW7duwcXFRVK3rZoAxKxGo4EgCG1mf17z5MmT9615L6UfpcHKViUZc/L0g9Ngv/ueS0RERG3btWsXdu3aJRmrqqrqpNUACplMhj/96U9YunQpjh49Kv6FYL9%2B/RAYGGh239GDamhowMSJE3H9%2BnUcO3YMv/3tbyXHXVxc0KtXLxQUFJic%2B%2Bmnn0o%2BZNrLywuCIKCgoADBwcHi%2BIULF2A0Gk2yZ86cMamZn58POzs7eHh4AACGDBkChUKBgoIChIWFibmmpiYUFxdj6tSpkprp6ekoKSmRbHTPz8%2BHTCZ7oA/Edguc/6t8TQMREVFXFxERgYiICMlY62saOoP4JvfevXtj5syZeOONN/DGG29gxowZv6i5MhqN0Gq1%2BOSTT5CdnQ0fHx%2BzuRdffBEffPABysvLxbFjx47h2rVrkpd3%2Bvv7w8nJCampqZLzU1NToVKpMGHCBHEsLCwMN2/exL59%2B8QxvV6P7OxshIaGinfFunfvjoCAAGRmZkre3J6RkYHa2lrJ/JMnT4ZCoUBKSopk/m3btsHV1RW%2Bvr4Pc3mIiIjoEaYA7jRD%2B/btw4kTJ/D9999j1apVGDJkCG7fvo2TJ0/id7/7HXr37v1QhZctW4aDBw8iNDQUer0eO3fulBx/6aWXANx5O3p2djb8/PywePFiVFdXIzExEUOHDsXs2bPFvK2tLdasWYPo6GhotVoEBQXh1KlTyMrKwtq1a9GjRw8xGxYWhuTkZMyZMwdXrlyBs7MzUlJSYDQasXr1ask64uPjMWrUKIwZMwaRkZEoLS1FUlISgoKCEBgYKOZcXV2xZMkSJCYmorGxESNHjsT%2B/ftx9uxZZGVltfmSUSIiInr8KG7fvo3x48fj/PnzUCqVqK%2BvF1%2BmaWdnh6ioKMyePRvx8fEPVfj//u//IJPJcPDgQRw8eNDkeGuD9cQTT%2BDjjz/GsmXL8Prrr8PGxgYTJ05EYmKieKepVVRUFGxsbLBx40YcPHgQbm5uSE5OxqJFiyQ5uVyOw4cPIzY2Flu2bIHBYICPjw8yMjLg7u4uyQ4bNgx5eXlYuXIlli1bBgcHB8ybNw9r1641WXNCQgKcnJyQlpaGHTt2wN3dHTt37pQ8SiQiIiKSRUVFCRkZGdi7dy9GjBiBPn36IC8vD/7%2B/gCAxYsX49SpU3yR5i/Aj8ohIiLqeJ36UTn79%2B/HokWLMH78eMjlcpOAh4cHbty40aGLIiIiIurK5D/%2B%2BCP69%2B/fZqC5uVl8mzoRERER3Z98wIAB93z8l5eXh6effroDl0RERETUtcnnzp2L9957Dzk5OeKgTCZDU1MTVq1ahX/961%2BIjIzsxCUSERERdS2KpUuX4vLlywgPD4darQYAzJw5E3q9Ho2NjZg7dy7mzZvXycskIiIi6joUMpkMf/vb3/DHP/4R2dnZ%2BPLLL2E0GjFgwABotVrxrwmJiIiI6MEo/vWvf%2BHJJ5%2BEn58f/Pz8Ons9RERERF2efMqUKTh9%2BnRnr4OIiIjokSEfOHAgKisrO3sdRERERI8M%2BWuvvYZ3330X169f7%2By1EBERET0SFEVFRejZsyc8PT3x/PPP4ze/%2BQ2USqUkJJPJsHHjxk5aIhEREVHXokhOTha/OXr0qNkQGywiIiKiB6fgx%2BAQERERWZbCysqqs9dARERE9EiRA8CtW7dgZWWF48ePd/Z6iIiIiLo8eet/CILQmesgIiIiemTI7x8hIiIioofBBouIiIjIwhSFhYWoqqoCAHz55Zfo0aOH2eDw4cM7cl1EREREXZZi5MiR4jcLFiwwCQiCAJlMhpaWlo5cFxEREVGXpXjvvfc6ew1EREREjxT5H//4RzzIv/9EbW0tVq1ahfHjx0OtVkMulyMjI8MkN2fOHMjlcpN/np6eZuump6fD09MTSqUSHh4e2Lp1q9lcVVUVIiMj0bt3b9jb28Pf3x9FRUVms%2BfOncPo0aOhUqmg0WiwePFi1NbWmuQEQcD69evRv39/KJVKDB06FLt3736Iq0JERESPOkV7Ftfr9VizZg369esHLy8vnDx5ss2sra0t0tPTJa%2BLcHR0NMmlpaUhKioK4eHhWL58OU6fPo2YmBgYDAbExsaKOUEQEBISgsuXL2PFihVQq9VISUmBn58fCgsLMWDAADFbXFyMgIAAeHp6YtOmTSgrK8OGDRtw/fp1HDp0SDJ/XFwcEhISMH/%2BfIwYMQK5ubmYPn065HI5tFrtL7haRERE9Kho1wbLxcUF3333HXr37o2LFy/i7v1eJgtRKBAREXHPevX19XjzzTcxadIk/POf/wQAzJ07Fy0tLVizZg0iIyPFpmzv3r04f/48cnJyMGXKFABAeHg4PDw8sGrVKmRmZop14%2BLi4OTkhI8//hgqlQoA0K9fP0RGRiIvLw8BAQEAgIqKCiQlJWHRokXYvHmzOP/YsWMRGxuL8PBwyGSy//BqERER0aOiXV/TYG1tjd69ez9w3mg0orq6us3jJ06cQGVlpclm/IULF6KmpkZytyknJwd9%2B/YVmysAcHZ2hlarRW5uLlo/g7G6uhp5eXmYOXOm2FwBwKxZs6BSqbBnzx5x7MCBA2hubkZUVJRk/qioKJSVleH8%2BfMP/LMSERHRo%2BtX8x6suro6dO/eHY6OjlCr1YiOjjbZA9W6f8rb21sy7u3tDblcLtlfVVRUZPbVEj4%2BPqirq8O1a9cAAJcvX0Zzc7NJTWtra3h5eUlqFhcXQ6VSYdCgQSY1BUFoc38XERERPV5%2BFQ2Wi4sLVqxYgb///e/YvXs3Jk%2BejJSUFIwfPx5Go1HM6XQ6WFlZwdnZWXK%2BtbU11Go1KioqJFmNRmMyV%2BtYa1an00Emk7WZ/XnNPn363LcmERERPd7adQ/Wg4qPj5d8r9Vq4e7ujjfffBPZ2dni5nGDwQAbGxuzNWxtbWEwGMTvDQYDunXrZjYnCIKYbf3aVvZBa95di4iIiB5vv4o7WOYsXboUMpkMeXl54phSqURjY6PZfH19PZRKpSTb0NBgNieTycRs69e2sg9a8%2B5aRERE9Hj7VdzBMsfW1hZqtRqVlZXimEajQUtLC/R6veQxYVNTE27dugUXFxdJVqfTmdRtHWvNajQaCILQZvbnNc29auLnNdtS%2BlEarGxVkjEnTz84Dfa753lERER0b7t27cKuXbskY60fBdgZfrUNVk1NDfR6PXr16iWOeXl5QRAEFBQUIDg4WBy/cOECjEYjvLy8JNkzZ86Y1M3Pz4ednR08PDwAAEOGDIFCoUBBQQHCwsLEXFNTE4qLizF16lRJzfT0dJSUlEg2uufn50Mmk0nmN8ctcD7s%2Bg58iKtAREREDyIiIsLkdU%2BFhYUmf8TWUTr9EWFDQwNqampMxt955x0AwPjx48Uxf39/ODk5ITU1VZJNTU2FSqXChAkTxLGwsDDcvHkT%2B/btE8f0ej2ys7MRGhoKa2trAED37t0REBCAzMxMyV8tZmRkoLa2VvLy0MmTJ0OhUCAlJUUy/7Zt2%2BDq6gpfX9//5BIQERHRI6bd72C9%2B%2B67%2BOmnn1BeXg4AeP/991FaWgoAiImJQWVlJYYNG4aIiAjxrtCRI0dw%2BPBhhISEIDQ0VKxla2uLNWvWIDo6GlqtFkFBQTh16hSysrKwdu1a9OjRQ8yGhYUhOTkZc%2BbMwZUrV%2BDs7IyUlBQYjUasXr1assb4%2BHiMGjUKY8aMQWRkJEpLS5GUlISgoCAEBgaKOVdXVyxZsgSJiYlobGzEyJEjsX//fpw9exZZWVl8ySgREREBAGTC3Z9N0w6eeuopfPvtt2aPff3113B0dERMTAzy8/NRUVGBlpYWDBw4EDNmzMDy5cthZWVlcl56ejo2btyIr7/%2BGm5ubli0aBEWLVpkkquqqkJsbCwOHDgAg8EAHx8fJCYmYtiwYSbZc%2BfOYeXKlSgsLISDgwOmTp2KtWvXSl4%2B2iohIQFpaWnQ6XRwd3dHXFwcpk2b1uY1aL1F%2BfTLW36VjwgbfqzAZ6lzcfz4cYwbN66zl0NERGQRrb9/L168aPbdmO2p3RssYoNFRETUGTqzwer0PVhEREREjxo2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRh7dpg1dbWYtWqVRg/fjzUajXkcjkyMjLMZktKShAcHAwHBweo1WrMmjULer3ebDY9PR2enp5QKpXw8PDA1q1bzeaqqqoQGRmJ3r17w97eHv7%2B/igqKjKbPXfuHEaPHg2VSgXN/2vvzoOiOrM2gD/dbM2qsoWGITiiPRPjaLuhEUOQoLgQLJVFJ6PRUfjKiGJ01EglMVUMjokETTSgTllBghIVGTUap0rcMkYQAbGMkaAxbtCiuCBgs9/vD4sbO00j0g3d2s%2Bvqqvkved979tnTpIz914vcjni4uJQW1urFScIAj799FP06dMHtra2GDRoEL755psOZoSIiIjMQZc2WJWVlUhISEBJSQmUSiUkEkmbcWVlZXj99ddx5coVrFmzBsuWLcPBgwcxbtw4NDU1acRu3rwZ0dHR%2BMtf/oKNGzdi1KhRWLRoEdauXasRJwgCJk6ciG%2B%2B%2BUY8fufOHQQGBuKXX37RiC0uLkZwcKrLsHYAABnNSURBVDDq6uqwbt06REdHY8uWLYiMjNTaa3x8PN5//32EhIRg48aN8PHxwV//%2Blfs2rVLz2wRERHRi8KyKxf39PTErVu34O7ujsLCQgwfPrzNuMTERKjVahQXF8PLywsAMHz4cIwdOxZpaWmYN28eAKCurg4ffPAB3nrrLezcuRMAMHfuXDQ3NyMhIQExMTHo0aMHAGD37t3Izc3Fnj17MGXKFABAREQEFAoFVq1ahYyMDPH88fHxcHZ2xokTJ2Bvbw8A8PHxQUxMDHJychAcHAwAKC8vR3JyMhYuXIjPP/9cPP8bb7yBZcuWISIiQmcTSUREROajS69gWVlZwd3d/alx2dnZCA0NFZsrAHjzzTehUCg0rgwdO3YM9%2B7dw7vvvqsxf8GCBaipqcHBgwfFsT179sDDw0NsrgDA1dUVkZGR2LdvHxobGwEA1dXVyMnJwcyZM8XmCgBmzZoFe3t7jfPv3bsXTU1NmD9/vsb558%2Bfj5s3byI3N/ep35WIiIhefEZ/yL28vBy3b9/GsGHDtI75%2BflpPDPV%2BuehQ4dqxA0dOhRSqVQrdsiQIW2u%2BejRI5SWlgIAzp8/j6amJq01raysoFQqNdYsLi6Gvb09/vznP2utKQiCzue7iIiIyLwYvcFSqVQAALlcrnVMLpfj3r174tUmlUoFCwsLuLq6asRZWVnBxcUF5eXlGuvqWhOAGKtSqSCRSHTG/n7Nl1566alrEhERkXkzeoOlVqsBADY2NlrHZDKZRoxarYa1tXWb68hkMjGuNVbXmoIgaKzZ3vk7uuaTaxEREZF5M3qDZWtrCwCor6/XOlZXV6cRY2tri4aGhjbXqaurE%2BNaY3WtKZFINNZs7/wdXfPJtYiIiMi8denfIuyI1ttrrbcKn6RSqeDs7AwrKysxtrm5GZWVlRq3CRsbG3H37l14enpqrKtrTQBirFwuhyAIOmN/v%2Bbx48efuqYuNw5vhoXMXmPMuX8gnF8NbHceERERtS8zMxOZmZkaY1VVVUbajQk0WJ6ennBzc0NBQYHWsfz8fCiVSvFnpVIJQRBQUFCA8ePHi%2BNnzpxBS0uLVuzJkye11szLy4OdnR0UCgUAYMCAAbC0tERBQQHCw8PFuMbGRhQXFyMqKkpjza1bt6KkpETjQfe8vDxIJBKN87fFe%2Bz/wc6jb7sxRERE9OxmzJiBGTNmaIwVFRVp/SW27mL0W4QAMG3aNBw4cABlZWXi2JEjR1BaWqrxss%2BgoCA4OzsjNTVVY35qairs7e0xadIkcSw8PBwVFRXIzs4WxyorK5GVlYWwsDDxqpiTkxOCg4ORkZGh8eb29PR01NbWapx/8uTJsLS0REpKisb5N23aBC8vL4waNUrPTBAREdGLoMuvYH355Zd48OCB2Dzt378fN27cAAAsWrQIjo6OiI%2BPR1ZWFgIDAxEXF4fq6mokJSVh0KBBmD17triWTCZDQkICYmNjERkZiZCQEHz//ffYsWMHVq9ejZ49e4qx4eHhWL9%2BPebMmYMLFy7A1dUVKSkpaGlpwccff6yxx8TERPj7%2ByMgIAAxMTG4ceMGkpOTERISgrFjx4pxXl5eWLx4MZKSktDQ0IDhw4fjP//5D3744Qfs2LGDLxklIiIiAIBEEAShK0/wxz/%2BEdevX2/z2K%2B//oqXX34ZAHDx4kUsWbIEJ0%2BehLW1NUJDQ5GUlAQ3NzeteVu3bsVnn32GX3/9Fd7e3li4cCEWLlyoFVdVVYVly5Zh7969UKvV8PPzQ1JSEgYPHqwVe%2BrUKaxYsQJFRUVwdHREVFQUVq9erfHy0VaffPIJNm/eDJVKhX79%2BiE%2BPh7Tp0/XmYPWS5Sv/H2DSd4irL9fjh9T5%2BLo0aMYM2aMsbdDRERkEK3//S0sLGzz3ZhdqcsbLGKDRUREZAzGbLBM4hksIiIiohcJGywiIiIiA2ODRURERGRgbLCIiIiIDIwNFhEREZGBscEiIiIiMjA2WEREREQGxgaLiIiIyMDYYBEREREZGBssIiIiIgNjg0VERERkYGywiIiIiAyMDRYRERGRgbHBIiIiIjIwNlhEREREBsYGi4iIiMjA2GARERERGRgbLCIiIiIDY4NFREREZGBssIiIiIgMjA0WERERkYGZRIN14sQJSKVSrY%2BFhQXy8/M1YktKSjB%2B/Hg4OjrCxcUFs2bNQmVlZZvrbt26Ff3794etrS0UCgU2btzYZlxVVRViYmLg7u4OBwcHBAUF4ezZs23Gnjp1CqNHj4a9vT3kcjni4uJQW1urXwKIiIjohWJp7A08afHixRg2bJjGWN%2B%2BfcU/l5WV4fXXX0evXr2wZs0aVFdXY%2B3atfjxxx%2BRn58PS8vfvs7mzZsxf/58REREYOnSpfjf//6HRYsWQa1WY9myZWKcIAiYOHEizp8/j%2BXLl8PFxQUpKSkIDAxEUVERfH19xdji4mIEBwejf//%2BWLduHW7evIm1a9fi8uXLOHjwYBdmhoiIiJ4nJtVgjR49GlOnTtV5PDExEWq1GsXFxfDy8gIADB8%2BHGPHjkVaWhrmzZsHAKirq8MHH3yAt956Czt37gQAzJ07F83NzUhISEBMTAx69OgBANi9ezdyc3OxZ88eTJkyBQAQEREBhUKBVatWISMjQzx/fHw8nJ2dceLECdjb2wMAfHx8EBMTg5ycHAQHBxs%2BKURERPTcMYlbhE%2BqqalBc3Nzm8eys7MRGhoqNlcA8Oabb0KhUGDXrl3i2LFjx3Dv3j28%2B%2B67GvMXLFiAmpoajatNe/bsgYeHh9hcAYCrqysiIyOxb98%2BNDY2AgCqq6uRk5ODmTNnis0VAMyaNQv29vYa5yciIiLzZlIN1pw5c%2BDk5ASZTIagoCAUFhaKx8rLy3H79m2tW4gA4Ofnp/HMVOufhw4dqhE3dOhQSKVSrdghQ4a0ueajR49QWloKADh//jyampq01rSysoJSqdT5zBYRERGZH5NosKytrREeHo7PP/8c%2B/fvR2JiIn788UcEBATg3LlzAACVSgUAkMvlWvPlcjnu3bsnXm1SqVSwsLCAq6urRpyVlRVcXFxQXl4ujqlUKp1rAhBjVSoVJBKJztgn1yQiIiLzZhLPYL322mt47bXXxJ9DQ0Mxbdo0DBw4ECtXrsR3330HtVoNALCxsdGaL5PJAABqtRpWVlZQq9WwtrZu81wymUxcq3WOrjUFQRBjn3b%2BJ9ckIiIi82YSV7Da4uvri8mTJ%2BPYsWMQBAG2trYAgPr6eq3Yuro6ABBjbG1t0dDQ0Oa6dXV1YlxrrK41JRKJxprtnf/JNYmIiMi8mcQVLF28vb3R0NCA2tpa8dZc663CJ6lUKjg7O8PKygrA41t2zc3NqKys1LhN2NjYiLt378LT01Mck8vlOtcEIMbK5XIIgqAz9sk1dblxeDMsZPYaY879A%2BH8auBT5xIREZFumZmZyMzM1Birqqoy0m5MvMH65ZdfIJPJ4ODgAAcHB7i5uaGgoEArLj8/H0qlUvxZqVRCEAQUFBRg/Pjx4viZM2fQ0tKiFXvy5EmtNfPy8mBnZweFQgEAGDBgACwtLVFQUIDw8HAxrrGxEcXFxYiKinrq9/Ee%2B3%2Bw8%2Bj71DgiIiJ6NjNmzMCMGTM0xoqKirT%2Bclp3MYlbhG29if3cuXP49ttvERISIo5NmzYNBw4cQFlZmTh25MgRlJaWIjIyUhwLCgqCs7MzUlNTNdZMTU2Fvb09Jk2aJI6Fh4ejoqIC2dnZGvvJyspCWFiYeFXMyckJwcHByMjI0Hhze3p6OmprazXOT0RERObNJK5gRUVFwdbWFqNGjYK7uzsuXLiAf//733BwcMC//vUvMS4%2BPh5ZWVkIDAxEXFwcqqurkZSUhEGDBmH27NlinEwmQ0JCAmJjYxEZGYmQkBB8//332LFjB1avXo2ePXuKseHh4Vi/fj3mzJmDCxcuwNXVFSkpKWhpacHHH3%2Bssc/ExET4%2B/sjICAAMTExuHHjBpKTkxESEoKxY8d2dZqIiIjoOWESDdaUKVOwfft2rFu3Dg8fPoSbmxvCw8Px0UcfoU%2BfPmLcH/7wB5w4cQJLlizBypUrYW1tjdDQUCQlJYlXmlrNnz8f1tbW%2BOyzz/Dtt9/C29sb69evx8KFCzXipFIpDh06hGXLlmHDhg1Qq9Xw8/NDeno6%2BvXrpxE7ePBg5OTkYMWKFViyZAkcHR0RHR2N1atXd11yiIiI6LkjEQRBMPYmXnSt94Bf%2BfsGk3wGq/5%2BOX5MnYujR49izJgxxt4OERGRQbT%2B97ewsLDNl4p3JZN4BouIiIjoRcIGi4iIiMjA2GARERERGRgbLCIiIiIDY4NFREREZGBssIiIiIgMjA0WERERkYGxwSIiIiIyMDZYRERERAbGBouIiIjIwNhgERERERkYGywiIiIiA2ODRURERGRgbLCIiIiIDIwNFhEREZGBscEiIiIiMjA2WEREREQGxgaLiIiIyMDYYBEREREZGBssIiIiIgNjg0VERERkYGywiIiIiAyMDdYzamhowIoVK%2BDl5QU7OzuMHDkSOTk5xt4WERERmRA2WM/onXfewfr16zFz5kx88cUXsLS0xMSJE3Hq1Cljb42IiIhMBBusZ5Cfn4%2BdO3dizZo1WLNmDebNm4cjR47Ax8cHy5cvN/b2XmiZmZnG3sJzjfnTD/OnH%2BZPP8zf84kN1jPIysqCpaUloqOjxTEbGxvMnTsXubm5KCsrM%2BLuXmz8F4x%2BmD/9MH/6Yf70w/w9n9hgPYPi4mIoFAo4ODhojPv5%2BYnHiYiIiNhgPQOVSgW5XK41LpfLIQgCysvLjbArIiIiMjVssJ6BWq2GjY2N1rhMJhOPExEREVkaewPPE1tbW9TX12uN19XVicfb0tp4XT24HhbWbccYU0vj4%2B905swZk70Kd/PmTWRmZqKlpcXYW2mXVCo1yT3evHkT27dvN9n9PckU99iaP8A09/d7prbHJ/MHmN7%2B2mJKe/x9/lq5urrCzc3NCDt6fly8eBGAkS6ACNRhY8eOFV599VWt8SNHjggSiUQ4cOBAm/MyMjIEAPzwww8//PDDjxE%2BGRkZXd0iaOEVrGegVCpx/Phx1NTUaDzonpeXB4lEAqVS2ea8kJAQZGRkoHfv3jqvchEREZFhqdVqXL16FSEhId1%2BbokgCEK3n/U5lZ%2Bfj5EjRyIpKQlLliwB8PjN7gMGDICbmxt%2B%2BOEHI%2B%2BQiIiITAGvYD0DPz8/REREYOXKlaioqEDfvn2RlpaGa9eu4auvvjL29oiIiMhE8ArWM2poaMCHH36IjIwM3L9/HwMHDsQ///lPBAcHG3trREREZCLYYBEREREZGN%2BDRURERGRgbLD00NDQgBUrVsDLywt2dnYYOXIkcnJyOjS3qqoKMTExcHd3h4ODA4KCgnD27Nku3rFp6Wz%2Btm3bBqlUqvWxsLDA7du3u2HnpqG2tharVq3ChAkT4OLiAqlUivT09A7PN/ca1Cd/5l6DBQUFiI2NxYABA%2BDg4AAfHx9ERUXh0qVLHZpv7rWnT/7MvfYA4KeffkJkZCR8fX1hb28PNzc3vPHGGzhw4ECH5ndX/fEhdz288847yM7OxnvvvSc%2B8D5x4kQcP34co0aN0jlPEARMnDgR58%2Bfx/Lly%2BHi4oKUlBQEBgaiqKgIvr6%2B3fgtjKez%2BQMAiUSChIQE9O7dW2O8Z8%2BeXbhj01JZWYmEhAT4%2BPiIrxDpKNagfvkDzLsGP/nkE5w6dQoREREYOHAgbt26hQ0bNmDIkCE4ffo0%2Bvfvr3Mua0%2B//AHmXXsAcO3aNdTU1GD27Nnw9PTEo0ePsGfPHoSFhWHLli2YN2%2BezrndWn/d/uatF8Tp06cFiUQiJCcni2N1dXVC3759BX9//3bn7ty5U5BIJEJ2drY4dufOHaFXr17C22%2B/3WV7NiX65C8tLU2QSqVCYWFhV2/TpDU0NAgVFRWCIAhCQUGBIJFIhG3btnVoLmtQv/yZew3m5uYKjY2NGmOXLl0SZDKZMHPmzHbnsvb0y5%2B5154uLS0tglKpFF555ZV247qz/niLsJOysrJgaWmJ6OhocczGxgZz585Fbm4uysrKdM7ds2cPPDw8MGXKFHHM1dUVkZGR2LdvHxobG7t076ZAn/w9qaamxmR%2BnUV3s7Kygru7e6fmsgb1y9%2BTzLEGR44cCUtLzRsgffv2xauvvir%2BahJdWHv65e9J5lh7ukgkEnh7e%2BPBgwftxnVn/bHB6qTi4mIoFAqNN7oDj9%2BV1Xpcl7Nnz2LIkCFa435%2Bfnj06BFKS0sNu1kTpE/%2BgMeXeQMDA%2BHk5AQ7OztMnjwZly9f7rL9vmhYg/pjDWqrqKiAq6truzGsPd06kj%2BAtdfq0aNHuHv3Lq5cuYJ169bh0KFDT31lUnfWHxusTlKpVJDL5VrjcrkcgiC0%2B0uT25sLwGR/4bIh6ZM/Ozs7zJkzBykpKdi7dy9WrFiBI0eOwN/fv8NXvswda1A/rEFtGRkZKCsrw/Tp09uNY%2B21raP5Y%2B39ZunSpXBzc0Pfvn2xbNkyTJ06FRs2bGh3TnfWHx9y7yS1Wg0bGxutcZlMJh7vzFxBEIzzW7%2B7mT75i4iIQEREhPhzWFgYxo0bh4CAACQmJiIlJcXwG37BsAb1wxrUVFJSgtjYWPj7%2B2PWrFntxrL2tD1L/lh7v3nvvfcQERGB8vJy7Nq1C83Nzaivr293TnfWH69gdZKtrW2b/0PW1dWJxzszVyKRmMUvhNYnf23x9/fHiBEjOvyaDHPHGjQ8c63BiooKTJo0Cb169cLu3bshkUjajWftaXrW/LXFXGtPoVAgKCgIf/vb37B//35UV1cjLCys3TndWX9ssDpJLpdDpVJpjbeOeXp6dsncF0VX5MDb2xv37t3Te2/mgDXYNcytBh8%2BfIjx48fj4cOH%2BO9//wsPD4%2BnzmHt/aYz%2BdPF3GqvLeHh4Thz5ky77xPrzvpjg9VJSqUSpaWlqKmp0RjPy8uDRCKBUqlsd25RUZHWeF5eHuzs7KBQKAy%2BX1OjT/50uXLlCtzc3Ay1xRcaa7BrmFMN1tfXIzQ0FJcvX8bBgwfxpz/9qUPzWHuPdTZ/uphT7enSenuvqqpKZ0x31h8brE4KDw9HU1MTtmzZIo41NDQgLS0NI0eOhJeXFwDg1q1b%2BPnnn9Hc3Kwxt6KiAtnZ2eJYZWUlsrKyEBYWBisrq%2B77IkaiT/4qKyu11vvuu%2B9QWFiICRMmdP3mnzOsQf2wBrW1tLQgMjISp0%2BfRlZWlvi3f3%2BPtdc2ffJn7rUHAHfu3NEaa2pqwrZt22Brayu%2BqNXY9cdf9qyHqKgo7N27F4sXLxbfRF5QUICjR4/C398fADB79mykp6fj6tWrePnllwE8/odr9OjRuHDhAv7xj3/A1dUVKSkpuHHjBs6cOYN%2B/foZ82t1m87mT6FQYPDgwRg2bBh69OiBwsJCfPXVV/Dy8kJ%2Bfr5Z/b%2B4L7/8Eg8ePEBZWRk2bdqEqVOnYvDgwQCARYsWwdHRkTXYjs7mz9xrcPHixfjiiy8QFham8cB1q7fffhsA//2niz75M/faA4CpU6fi4cOHCAgIgJeXF27duoXt27fj559/RnJyMuLi4gCYQP0Z9LWlZqa%2Bvl5Yvny54OnpKdja2gojRowQDh8%2BrBEze/ZswcLCQrh27ZrG%2BIMHD4To6GjBzc1NcHBwEIKCgoSioqLu3L7RdTZ/H374oTBkyBChV69ego2NjdC7d28hNjZWuH37dnd/BaPr3bu3IJVK2/y05ow1qFtn82fuNRgYGKgzb1KpVIxj7bVNn/yZe%2B0JwuO3sY8bN06Qy%2BWCtbW14OLiIowbN044cOCARpyx649XsIiIiIgMjM9gERERERkYGywiIiIiA2ODRURERGRgbLCIiIiIDIwNFhEREZGBscEiIiIiMjA2WEREREQGxgaLiIiIyMDYYBEREVGXq62txapVqzBhwgS4uLhAKpUiPT1drzULCwsRGhoKuVwOR0dHDBo0CBs2bEBLS4uBdt15bLCIiIioy1VWViIhIQElJSVQKpWQSCR6rVdUVAR/f39cv34d77//PpKTk%2BHr64u4uDgsXbrUQLvuPP6qHCIiIupyjY2NuH//Ptzd3VFYWIjhw4cjLS0Ns2bN6tR6MTEx%2BPrrr3Hr1i306NFDHA8MDMS5c%2Bdw//59Q229U3gFi4iIiLqclZUV3N3dOxR76NAhBAQEwMHBAU5OTggNDcVPP/2kEVNdXQ2ZTKbRXAGAh4cHbG1tDbbvzmKDRURERCbj66%2B/RmhoKBwdHfHpp5/io48%2BwsWLF/H666/j%2BvXrYlxgYCAePnyImJgYlJSU4Pr169i0aRP27t2L%2BPh4I36Dx3iLkIiIiLqVrluEtbW18Pb2RlRUFFJTU8XxO3fuQKFQICoqCps2bQIAtLS0YPHixdi8eTMaGxsBAJaWlti4cSNiYmK69wu1wdLYGyAiIiICgMOHD6OqqgrTp0/H3bt3xXGJRIIRI0bg2LFj4phUKoWvry/Gjx%2BPyMhI2NjYIDMzE7GxsfDw8EBYWJgxvoKIDRYRERGZhEuXLkEQBIwZM0brmEQigZOTk/jzmjVrsGHDBly6dAl2dnYAgPDwcAQFBWHBggUIDQ2FVGq8J6HYYBEREZFJaGlpgUQiQUZGBl566SWt45aWv7UtqampCAoKEpurVmFhYVi6dCmuXr2KPn36dPmedWGDRURERCbB19cXgiDAzc0NQUFB7cZWVFSgublZa7z1eaympqYu2WNH8W8REhERkUkICQmBk5MTVq9e3WaDVFlZKf5ZoVDg8OHDGu%2B7amlpwc6dO%2BHo6AhfX99u2bMu/w8ZeajuK%2BgSzQAAAABJRU5ErkJggg%3D%3D\"/>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-6830112477044886234\">\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">97862</td>\n",
+       "        <td class=\"number\">22.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">150000.0</td>\n",
+       "        <td class=\"number\">1943</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">200000.0</td>\n",
+       "        <td class=\"number\">1818</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">175000.0</td>\n",
+       "        <td class=\"number\">1808</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">160000.0</td>\n",
+       "        <td class=\"number\">1684</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">180000.0</td>\n",
+       "        <td class=\"number\">1668</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">165000.0</td>\n",
+       "        <td class=\"number\">1659</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">225000.0</td>\n",
+       "        <td class=\"number\">1629</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">210000.0</td>\n",
+       "        <td class=\"number\">1554</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">125000.0</td>\n",
+       "        <td class=\"number\">1534</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (40893)</td>\n",
+       "        <td class=\"number\">314603</td>\n",
+       "        <td class=\"number\">73.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-6830112477044886234\">\n",
+       "            <p class=\"h4\">Minimum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">97862</td>\n",
+       "        <td class=\"number\">22.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1.0</td>\n",
+       "        <td class=\"number\">44</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">3.0</td>\n",
+       "        <td class=\"number\">2</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">10.0</td>\n",
+       "        <td class=\"number\">2</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">100.0</td>\n",
+       "        <td class=\"number\">29</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "            <p class=\"h4\">Maximum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">174000000.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">180000000.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">208711453.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">245000000.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">253486470.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">SCHOOL_DST<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>24</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.3%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>1425</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-2281923410331653424\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>001</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:61%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 30.2%\">\n",
+       "            129308\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>279</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:23%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 11.6%\">\n",
+       "            49461\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>281</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:16%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 8.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        34268\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (20)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 49.9%\">\n",
+       "            213300\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-2281923410331653424, #minifreqtable-2281923410331653424\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-2281923410331653424\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">001</td>\n",
+       "        <td class=\"number\">129308</td>\n",
+       "        <td class=\"number\">30.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">279</td>\n",
+       "        <td class=\"number\">49461</td>\n",
+       "        <td class=\"number\">11.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">281</td>\n",
+       "        <td class=\"number\">34268</td>\n",
+       "        <td class=\"number\">8.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:27%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">271</td>\n",
+       "        <td class=\"number\">31115</td>\n",
+       "        <td class=\"number\">7.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">270</td>\n",
+       "        <td class=\"number\">25084</td>\n",
+       "        <td class=\"number\">5.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">284</td>\n",
+       "        <td class=\"number\">24008</td>\n",
+       "        <td class=\"number\">5.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">272</td>\n",
+       "        <td class=\"number\">21461</td>\n",
+       "        <td class=\"number\">5.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">283</td>\n",
+       "        <td class=\"number\">17027</td>\n",
+       "        <td class=\"number\">4.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">011</td>\n",
+       "        <td class=\"number\">16803</td>\n",
+       "        <td class=\"number\">3.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">273</td>\n",
+       "        <td class=\"number\">15524</td>\n",
+       "        <td class=\"number\">3.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (13)</td>\n",
+       "        <td class=\"number\">62278</td>\n",
+       "        <td class=\"number\">14.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:48%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">SPEC_ASSES<br/>\n",
+       "            <small>Numeric</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>4282</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>1.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "\n",
+       "                <tr>\n",
+       "                    <th>Mean</th>\n",
+       "                    <td>142.82</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>749610</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"alert\">\n",
+       "                    <th>Zeros (%)</th>\n",
+       "                    <td>83.9%</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram7270850834030152091\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABZNJREFUeJzt2k1oE2kcx/G/xYqB0rqa1rc0E/JW0RgUU4oUhbpFEaHgpYLEQw4iop4WelGh1l7Uo7QnC22oELGCFwOydbH0pF5UxKDWOk1hS6LtxZfYkulvD4uzW9n9k4KdtPL7QC595unzDJkvZDIRlMHg4CBEhC%2B%2BFvUaHBx0/FpdLWXg8/lERKSjo0Pq6%2BtLnrd9%2B3ZZt27dEu2KlqtMJiPxeNy%2BbpxUlkBcLpeIiFy9enVR81p%2BbZU/hn9fii3RCvDtunFSWQL5JtjeJa46X0nH/jmSlHwut7QbIvpOWQOprPpF1lTXlnRsxRqXyOwSb4joOxXl3gDRcsZAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESLG6HIsWCgUREXmd/E1WVZTWaLE4JzX%2BoNy8eXNRa1VUVMj8/PyynOPkWst5jtvtltra2v8dz2QyIvLPdeOksgRimqaIiFjFuUXNGxt7LfF4fAl2RCuBaZrS3Nzs6JqrAMDRFUXkw4cPcv/%2BffH5fOJyuZxenlaYQqEgpmnKoUOHxO12O7p2WQIhWil4k06kYCBECscDGRsbk%2BbmZmloaJCmpib7Gwr6uaTTadmzZ4/s3r1botGoJJNJERF5//69HD58WMLhsESjURkdHbXnFAoFOX78uIRCIdm2bZvcuXPHHgMg586dk2AwKOFwWHp6ehas193dLcFgUEKhkFy4cGHBWF9fn4TDYQmFQnLq1CmxLKv0E4HDDhw4gGQyCQAYGhpCY2Oj01sgB6xfvx4vXrwAAJimibVr1%2BLTp09IJBK4dOkSAODJkyfweDwoFosAgK6uLiQSCQDAu3fvUFdXh5mZGQDAwMAAWltbAQAzMzMwDAMvX74EAIyMjCASiaBQKGB2dhaxWAzpdBoAMD4%2Bji1btiCfzwMA2tra0NvbW/J5OBpIPp9HTU0NLMuy/7Zp0ya8ffvWyW2QA9xuN0ZHRwEAz549g8fjwdzcHKqqqpDL5ezjmpqa8ODBAwDAjh078OjRI3usvb0dfX19AIAjR47g1q1b9lhHRwcuXrwIADhz5gyuXLlij/X29uLEiRMAgGvXruH06dP2WDqdxr59%2B0o%2BD0c/Yk1OTsrmzZul4l8PB71er2SzWSe3QQ5IpVJy9OhR8fl8sn//fhkYGJCPHz9KsViUuro6%2BzjDMOz3P5vNimEY9pjP51vSsVLwJp1%2BOMuypLu7W%2B7evSumacrw8LDE43EpFouCFfZUwdFA6uvrZWpqasFPEbLZrHi9Xie3QUvs6dOnMjU1ZT/1jsVi4vF45Pnz51JZWSn5fN4%2B1jRN%2B/03DEMmJib%2Bc8zr9f7wsZKU/GHsB2lpaUF/fz8A4Pbt27xJ/wnlcjlUV1cjk8kAAN68eYMNGzZgcnISiUQCnZ2dAIDHjx8vuEnv7Oy0b9LHx8exceNGTE9PAwD6%2B/vR2toKy7IwPT0NwzDsLwEePnyISCSCL1%2B%2B4OvXr4jFYrh37579f7Zu3YpcLof5%2BXm0tbWhp6en5HNxPJBXr15h7969CIfDaGxstE%2BSfi6pVAo7d%2B7Erl27EI1GkUqlAPwdz8GDBxEKhRCJRDAyMmLP%2Bfz5M44dO4ZAIICGhgYMDQ3ZY5Zl4ezZs/D7/QgGg7h%2B/fqC9S5fvgy/349AIIDz588vGLtx4wYCgQCCwSBOnjxpB1kK/tSESMGbdCIFAyFSMBAiBQMhUjAQIgUDIVIwECIFAyFSMBAiBQMhUjAQIgUDIVL8BbIiIW7tkqoxAAAAAElFTkSuQmCC\">\n",
+       "\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives7270850834030152091,#minihistogram7270850834030152091\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives7270850834030152091\">\n",
+       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
+       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles7270850834030152091\"\n",
+       "                                                  aria-controls=\"quantiles7270850834030152091\" role=\"tab\"\n",
+       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#histogram7270850834030152091\" aria-controls=\"histogram7270850834030152091\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#common7270850834030152091\" aria-controls=\"common7270850834030152091\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#extreme7270850834030152091\" aria-controls=\"extreme7270850834030152091\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
+       "\n",
+       "    </ul>\n",
+       "\n",
+       "    <div class=\"tab-content\">\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles7270850834030152091\">\n",
+       "            <div class=\"col-md-4 col-md-offset-1\">\n",
+       "                <p class=\"h4\">Quantile statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Minimum</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>5-th percentile</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q1</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Median</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q3</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>95-th percentile</th>\n",
+       "                        <td>517</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Maximum</th>\n",
+       "                        <td>749610</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Range</th>\n",
+       "                        <td>749610</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Interquartile range</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "            <div class=\"col-md-4 col-md-offset-2\">\n",
+       "                <p class=\"h4\">Descriptive statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Standard deviation</th>\n",
+       "                        <td>2642.1</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Coef of variation</th>\n",
+       "                        <td>18.5</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Kurtosis</th>\n",
+       "                        <td>27334</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Mean</th>\n",
+       "                        <td>142.82</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>MAD</th>\n",
+       "                        <td>244.36</td>\n",
+       "                    </tr>\n",
+       "                    <tr class=\"alert\">\n",
+       "                        <th>Skewness</th>\n",
+       "                        <td>134.05</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Sum</th>\n",
+       "                        <td>61093000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Variance</th>\n",
+       "                        <td>6980800</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Memory size</th>\n",
+       "                        <td>3.3 MiB</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram7270850834030152091\">\n",
+       "            <img 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rHk/pZ8kw0qplsQc3L3hMML7gecSERFR%2B/bv34/9%2B/dLYlVVVV00mw5qsMrLyyEIAiIjI7Fs2TKz40OGDMHy5csRHx%2BP/v37o6CgwCzn888/h4eHh/jaw8MDgiCgoKAAAQEBYvzixYswmUxmuWfPnjWrmZ%2Bfj969e8PNzQ0AMHLkSCgUChQUFCA4OFjMa2pqQlFREWbNmiWpmZKSguLiYslC9/z8fMhkMsn47XHxW4Leg4Y9MI%2BIiIgeTWhoKEJDQyWxwsJCsw%2BydZYOeUQ4cuRIHDx4EAcPHsShQ4fEnxEjRmDw4ME4dOgQFi1aBAB46aWX8NFHH4l3ugDgxIkTuHHjhmSzTx8fHzg4OCApKUkyVlJSEtRqNaZOnSrGgoODcevWLeTk5Igxg8GArKwsBAUFiXfF%2BvTpA19fX6SlpUl2bk9NTUVtba1k/BkzZkChUCAxMVEy/u7du%2BHs7Izx48f/O5eMiIiIepAOuYOl0WgQFBRkFt%2B%2BfTtkMhmmT58uxtatW4esrCx4e3tj%2BfLlqK6uRlxcHEaNGoUFCxaIeUqlEps2bUJERAR0Oh38/f1x%2BvRppKenIyYmBn379hVzg4ODkZCQgIULF%2BLatWtwdHREYmIiTCYTNm7cKJlTdHQ0JkyYgEmTJiEsLAylpaWIj4%2BHv78//Pz8xDxnZ2esWLECcXFxaGxsxLhx43Dw4EGcO3cO6enp3GSUiIiIRJ2yk/u9ftqIPPHEE/j000%2BxatUqvPnmm7CxscG0adMQFxcn3mlqFR4eDhsbG2zbtg2HDx%2BGi4sLEhISzB5DyuVyHD16FFFRUdi5cyeMRiO8vLyQmpoKV1dXSe7o0aORl5eHtWvXYtWqVbCzs8PixYsRExNjNvfY2Fg4ODggOTkZe/fuhaurK/bt2yd5lEhEREQkEwRB6OpJ9HStz4CfeWVnt1mDVfLBevh6PIWsrKyungoREdHP0vr399KlS21uQN6ROuXLnomIiIgeJ2ywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQW1mEN1hdffAGdToehQ4dCrVajf//%2BmDx5Mj766CNJ3sKFCyGXy81%2B3N3d26ybkpICd3d3qFQquLm5YdeuXW3mVVVVISwsDAMGDICtrS18fHxw%2BfLlNnPPnz%2BPiRMnQq1WQ6vVYvny5aitrTXLEwQBW7ZswZAhQ6BSqTBq1ChkZGQ84pUhIiKink7RUYW/%2BeYb1NTUYMGCBXByckJdXR2ys7MRFBSEPXv24NVXXxVzlUolUlJSIAiCGLO3tzermZycjPDwcISEhGD16tU4c%2BYMIiMjYTQaERUVJeYJgoDAwEBcvXoVa9asgUajQWJiIry9vVFYWIihQ4eKuUVFRfD19YW7uzu2b9%2BOsrIybN26FSUlJThy5Ihk/HXr1iE2NhZLlizB2LFjkZubizlz5kAul0On01ny8hEREVE3JhPu7Wo6mCAIGDNmDBoaGvDFF18AuHsHKzs7G3fu3LnvufX19XBxccH48eORm5srxufNm4fc3FyUlpaKTVlmZiZmz56N7OxszJw5EwBgMBjg5uaGwMBApKWliecHBgbiypUruH79OtRqNYC7d8nCwsJw/Phx%2BPr6AgAqKirw9NNP47XXXsOOHTvE8ydPnoybN2/i5s2bkMlkbc69sLAQnp6eeOaVneg9aNijXrYuUfLBevh6PIWsrKyungoREdHP0vr399KlSxgzZkynjt2pa7BkMhlcXFzw448/mh0zmUyorq5u99yTJ0%2BisrISS5culcRff/111NTUSO42ZWdnY9CgQWJzBQCOjo7Q6XTIzc1FU1MTAKC6uhp5eXmYN2%2Be2FwBwPz586FWq5GZmSnGDh06hObmZoSHh0vGDw8PR1lZGS5cuPCQV4GIiIh6ug5vsOrq6nD79m189dVX2L59O44ePSreFbo3p0%2BfPrC3t4dGo0FERITZGqjW9VOenp6SuKenJ%2BRyuWR91eXLl9vsVL28vFBXV4cbN24AAK5evYrm5mazmtbW1vDw8JDULCoqglqtxvDhw81qCoLQ7vouIiIievx02BqsVqtXr0ZycjIAQC6X46WXXsLOnTvF405OTlizZg3GjBkDk8mEY8eOITExEVeuXMGpU6cgl9/tAfV6PaysrODo6Cipb21tDY1Gg4qKCjGm1%2BsxefJks7lotVoAdx/3jRgxAnq9HjKZTIz/NPfs2bOSmgMHDrxvTSIiIiKgExqslStXIiQkBBUVFcjMzERLSwsaGhrE49HR0ZJ8nU4HV1dXrF%2B/HllZWeLicaPRCBsbmzbHUCqVMBqN4muj0YhevXq1mScIgpjb%2Bru93IeteW8tIiIiog5/ROjm5gYfHx/MnTsXH374IaqrqxEUFHTfc1auXAmZTIa8vDwxplKp0NjY2GZ%2BfX09VCqVJPfeJu7ePJlMJua2/m4v92Fr3luLiIiIqMPvYP1UcHAwXnvtNXz55ZdwdXVtM0epVEKj0aCyslKMabVatLS0wGAwSB4TNjU14fbt23BycpLk6vV6s7qtsdZcrVYLQRDazf1pzVOnTj2w5v2UfpIMK6VaEnNw94bDCO8HnktERETt279/P/bv3y%2BJVVVVddFsuqDBan2Udr83XVNTA4PBgP79%2B4sxDw8PCIKAgoICBAQEiPGLFy/CZDLBw8NDknvv%2BqlW%2Bfn56N27N9zc3AAAI0eOhEKhQEFBAYKDg8W8pqYmFBUVYdasWZKaKSkpKC4ulix0z8/Ph0wmk4zfHhe/Jd1mmwYiIqLuJDQ0FKGhoZJY6zYNXaHDHhH%2B8MMPZrHm5mbs3bsXKpUK7u7uaGhoQE1NjVneu%2B%2B%2BCwCYMmWKGPPx8YGDgwOSkpIkuUlJSVCr1Zg6daoYCw4Oxq1bt5CTkyPGDAYDsrKyEBQUBGtrawBAnz594Ovri7S0NMmnFlNTU1FbWyvZPHTGjBlQKBRITEyUjL979244Oztj/PjxD3VdiIiIqOfrsDtYS5YswZ07dzBp0iQ4Ozvju%2B%2B%2Bw759%2B3D9%2BnXEx8ejd%2B/e%2BOabbzB69GiEhoaKd4WOHTuGo0ePIjAwULJWS6lUYtOmTYiIiIBOp4O/vz9Onz6N9PR0xMTEoG/fvmJucHAwEhISsHDhQly7dg2Ojo5ITEyEyWTCxo0bJfOMjo7GhAkTMGnSJISFhaG0tBTx8fHw9/eHn5%2BfmOfs7IwVK1YgLi4OjY2NGDduHA4ePIhz584hPT293U1GiYiI6PHTYQ3W7NmzkZKSgt27d%2BP27duws7ODp6cntm7dKt5t6tu3L6ZPn468vDykpqaipaUFw4YNw%2BbNm7F69WqzmuHh4bCxscG2bdtw%2BPBhuLi4ICEhAcuWLZPkyeVyHD16FFFRUdi5cyeMRiO8vLyQmppqtu5r9OjRyMvLw9q1a7Fq1SrY2dlh8eLFiImJMRs/NjYWDg4OSE5Oxt69e%2BHq6op9%2B/ZJHiUSERERdepX5Tyu%2BFU5REREne%2Bx%2BaocIiIioscBGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKysA5rsL744gvodDoMHToUarUa/fv3x%2BTJk/HRRx%2BZ5RYXFyMgIAB2dnbQaDSYP38%2BDAZDm3VTUlLg7u4OlUoFNzc37Nq1q828qqoqhIWFYcCAAbC1tYWPjw8uX77cZu758%2BcxceJEqNVqaLVaLF%2B%2BHLW1tWZ5giBgy5YtGDJkCFQqFUaNGoWMjIxHuCpERET0OOiwBuubb75BTU0NFixYgN///vd45513IJPJEBQUhD/%2B8Y9iXnl5OZ5//nl89dVX2Lx5M6KionDkyBG8%2BOKLaG5ultRMTk7G4sWL8eyzz2LXrl0YP348IiMjsXXrVkmeIAgIDAxERkaGePyHH36At7c3/vnPf0pyi4qK4Ovri/r6emzfvh2LFy/Gnj17oNPpzN7TunXr8MYbb8Df3x%2B7du3C4MGDMWfOHGRmZlrwyhEREVF3JxMEQeiswQRBwJgxY9DQ0IAvvvgCALB06VKkpqbi%2BvXrcHZ2BgCcOHECfn5%2B2LNnD1599VUAQH19PVxcXDB%2B/Hjk5uaKNefNm4fc3FyUlpbC3t4eAJCZmYnZs2cjOzsbM2fOBAAYDAa4ubkhMDAQaWlp4vmBgYG4cuUKrl%2B/DrVaDeDuXbKwsDAcP34cvr6%2BAICKigo8/fTTeO2117Bjxw7x/MmTJ%2BPmzZu4efMmZDJZm%2B%2B7sLAQnp6eeOaVneg9aJhFrmVHK/lgPXw9nkJWVlZXT4WIiOhnaf37e%2BnSJYwZM6ZTx%2B7UNVgymQwuLi748ccfxVhOTg6mTZsmNlcA8MILL8DNzU1yZ%2BjkyZOorKzE0qVLJTVff/111NTU4MiRI2IsOzsbgwYNEpsrAHB0dIROp0Nubi6ampoAANXV1cjLy8O8efPE5goA5s%2BfD7VaLRn/0KFDaG5uRnh4uGT88PBwlJWV4cKFCz/3shAREVEP0%2BENVl1dHW7fvo2vvvoK27dvx9GjRyV3hb7//nuMHTvW7DwvLy/JmqnWf3t6ekryPD09IZfLzXLb6lS9vLxQV1eHGzduAACuXr2K5uZms5rW1tbw8PCQ1CwqKoJarcbw4cPNagqC0O76LiIiInr8dHiDtXr1avTv3x/Dhg1DVFQUfvOb32Dnzp0AAL1eDwDQarVm52m1WlRWVop3m/R6PaysrODo6CjJs7a2hkajQUVFhRjT6/Xt1gQg5ur1eshksnZzf1pz4MCBD6xJREREpOjoAVauXImQkBBUVFQgMzMTLS0taGhoAAAYjUYAQK9evczOUyqVYo61tTWMRiNsbGzaHEOpVIq1Ws9pr6YgCGLug8Z/2Jr31iIiIiLq8DtYbm5u8PHxwdy5c/Hhhx%2BiuroaQUFBAACVSgUAYsN1r/r6ekmOSqVCY2Njm2PU19eLea257dWUyWSSmvcb/2Fr3luLiIiIqMPvYP1UcHAwXnvtNXz55Zfi47XWR4X30uv1cHBwgLW1NYC7j%2BJaWlpgMBgkjwmbmppw%2B/ZtODk5iTGtVttuTQBirlarhSAI7eb%2BtOapU6ceWPN%2BSj9JhpVSLYk5uHvDYYT3A88lIiKi9u3fvx/79%2B%2BXxKqqqrpoNl3QYLU%2BSquqqoKrqyv69%2B%2BPgoICs7zPP/8cHh4e4msPDw8IgoCCggIEBASI8YsXL8JkMpnlnj171qxmfn4%2BevfuDTc3NwDAyJEjoVAoUFBQgODgYDGvqakJRUVFmDVrlqRmSkoKiouLJQvd8/PzIZPJJOO3x8VvSbfZpoGIiKg7CQ0NRWhoqCTWuk1DV%2BiwR4Q//PCDWay5uRl79%2B6FSqWCu7s7AOCll17CRx99hPLycjHvxIkTuHHjhmSzTx8fHzg4OCApKUlSMykpCWq1GlOnThVjwcHBuHXrFnJycsSYwWBAVlYWgoKCxLtiffr0ga%2BvL9LS0iQ7t6empqK2tlYy/owZM6BQKJCYmCgZf/fu3XB2dsb48eMf6foQERFRz9Vhd7CWLFmCO3fuYNKkSXB2dsZ3332Hffv24fr164iPj0fv3r0B3N0dPSsrC97e3li%2BfDmqq6sRFxeHUaNGYcGCBWI9pVKJTZs2ISIiAjqdDv7%2B/jh9%2BjTS09MRExODvn37irnBwcFISEjAwoULce3aNTg6OiIxMREmkwkbN26UzDM6OhoTJkzApEmTEBYWhtLSUsTHx8Pf3x9%2Bfn5inrOzM1asWIG4uDg0NjZi3LhxOHjwIM6dO4f09PR2NxklIiKix0%2BHNVizZ89GSkoKdu/ejdu3b8POzg6enp7YunWr5G7TE088gU8//RSrVq3Cm2%2B%2BCRsbG0ybNg1xcXHinaZW4eHhsLGxwbZt23D48GG4uLggISEBy5Ytk%2BTJ5XIcPXoUUVFR2LlzJ4yRz0JvAAAgAElEQVRGI7y8vJCamgpXV1dJ7ujRo5GXl4e1a9di1apVsLOzw%2BLFixETE2P2nmJjY%2BHg4IDk5GTs3bsXrq6u2Ldvn%2BRRIhEREVGnflXO44pflUNERNT5HpuvyiEiIiJ6HLDBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGHy6dOnIzMzEw0NDV09FyIiIqIeQf7FF19g9uzZGDhwIBYtWoRTp0519ZyIiIiIujX5P//5T5w7dw4vv/wyDh8%2BjBdeeAFPPvkk3nzzTfz973/v6vkRERERdTtyAPjVr36F9957D3q9Hh9%2B%2BCEmTJiAnTt3YtSoUfDw8EB8fDz0en1Xz5WIiIioW5AscreyssLUqVOxf/9%2BlJWVITg4GFeuXEFUVBSefPJJBAQE4Pjx4101VyIiIqJuwexThPn5%2BYiIiICbmxsOHDiAZ555BtHR0di8eTNKS0sRGBiI//mf/%2BmKuRIRERF1CwoAuHHjBtLS0pCeno6vv/4ajo6OCA0Nxbx58zB27FgxefXq1Vi0aBF27tyJDRs2dNmkiYiIiP6TKcaOHYvLly/DxsYG06ZNw/bt2zFlyhQoFIo2T/D19cWf/vSnTp4mERERUfehUCqVSExMxKxZs9C3b98HnhAUFIQvv/yyE6ZGRERE1D0pzp49%2B0gnqNVqDB06tIOmQ0RERNT9yYuKipCcnNxuwp49e3DlypVOnBIRERFR9yZft24djh492m7C8ePH8dZbb3XilIiIiIi6N3lBQQEmTZrUbsLzzz%2BPixcvduKUiIiIiLo3eXV1NWxsbNpNsLKyQlVVVSdOiYiIiKh7k7u6uuKTTz5pN%2BHjjz/G008//ciFCwoKEBERgZEjR8LW1haDBw/GrFmzzD6BuHDhQsjlcrMfd3f3NuumpKTA3d0dKpUKbm5u2LVrV5t5VVVVCAsLw4ABA2BrawsfHx9cvny5zdzz589j4sSJUKvV0Gq1WL58OWpra83yBEHAli1bMGTIEKhUKowaNQoZGRmPeGWIiIiop1MsXLgQq1evxpo1a/D222/Dzs4OAHDnzh1s2rQJf/3rXxEbG/vIhWNjY3H%2B/HmEhITgueeew3fffYedO3dizJgx%2BOyzzyQNlFKpREpKCgRBEGP29vZmNZOTkxEeHo6QkBCsXr0aZ86cQWRkJIxGI6KiosQ8QRAQGBiIq1evYs2aNdBoNEhMTIS3tzcKCwsln4IsKiqCr68v3N3dsX37dpSVlWHr1q0oKSnBkSNHJOOvW7cOsbGxWLJkCcaOHYvc3FzMmTMHcrkcOp3uka8RERER9Uwyk8kkzJ8/H/v27YNCocATTzwBACgrK0NzczNCQ0ORlpYGmUz2SIXz8/MxduxYyYalJSUlePbZZxESEoLU1FQAd%2B9gZWdn486dO/etV19fDxcXF4wfPx65ublifN68ecjNzUVpaanYlGVmZmL27NnIzs7GzJkzAQAGgwFubm4IDAxEWlqaeH5gYCCuXLmC69evQ61WA7h7lywsLAzHjx%2BHr68vAKCiogJPP/00XnvtNezYsUM8f/Lkybh58yZu3rzZ7jUqLCyEp6cnnnllJ3oPGvbQ17ArlXywHr4eTyErK6urp0JERPSztP79vXTpEsaMGdOpY8tlMhn%2B8pe/4Pjx43jllVcwbNgwDBs2DIsWLcLHH3%2BMffv2PXJzBQC//OUvzXaDHzZsGEaMGIF//OMfZvkmkwnV1dXt1jt58iQqKyuxdOlSSfz1119HTU2N5G5TdnY2Bg0aJDZXAODo6AidTofc3Fw0NTUBAKqrq5GXl4d58%2BaJzRUAzJ8/H2q1GpmZmWLs0KFDaG5uRnh4uGT88PBwlJWV4cKFC/e7HERERPQYEb/s2c/PD7t378bHH3%2BMjz/%2BGElJSeLdG0u6desWHB0dJbG6ujr06dMH9vb20Gg0iIiIMFsD1bp%2BytPTUxL39PSEXC6XrK%2B6fPlym52ql5cX6urqcOPGDQDA1atX0dzcbFbT2toaHh4ekppFRUVQq9UYPny4WU1BENpd30VERESPH/mDUywnLS0N5eXlmD17thhzcnLCmjVr8Oc//xkZGRmYMWMGEhMTMWXKFJhMJjFPr9fDysrKrDmztraGRqNBRUWFJFer1ZqN3xprzdXr9ZDJZO3m/rTmwIEDH1iTiIiISAHcXXOUkpKCr776Cv/6178ki80BQCaToaGh4d8aqLi4GBEREZgwYQLmz58vxqOjoyV5Op0Orq6uWL9%2BPbKyssTF40ajsd3tJJRKJYxGo/jaaDSiV69ebeYJgiDmtv5uL/dha95bi4iIiEjxxhtvYOvWrXj22WcRHByMfv36WXyQW7duYerUqejXrx8OHDjwwDVdK1euxNtvv428vDyxwVKpVGhsbGwzv76%2BHiqVSnytUqnabAjr6%2Bshk8nE3Nbf7eU%2BbM17axEREREp3n//fcycObPDPi12584dBAQE4M6dOzh79iwGDRr0wHOUSiU0Gg0qKyvFmFarRUtLCwwGg%2BQxYVNTE27fvg0nJydJrl6vN6vbGmvN1Wq1EASh3dyf1jx16tQDa95P6SfJsFKqJTEHd284jPB%2B4LlERETUvv3792P//v2SWFdulK4wGo148cUXO6R4Q0MDpk2bhpKSEpw4cQK/%2BMUvHuq8mpoaGAwG9O/fX4x5eHhAEAQUFBQgICBAjF%2B8eBEmkwkeHh6S3LNnz5rVzc/PR%2B/eveHm5gYAGDlyJBQKBQoKChAcHCzmNTU1oaioCLNmzZLUTElJQXFxsWShe35%2BPmQymWT89rj4Lek22zQQERF1J6GhoQgNDZXEWrdp6AryX//617h06ZLFC5tMJuh0Onz22WfIysqCl5eXWU5DQwNqamrM4u%2B%2B%2By4AYMqUKWLMx8cHDg4OSEpKkuQmJSVBrVZj6tSpYiw4OBi3bt1CTk6OGDMYDMjKykJQUBCsra0BAH369IGvry/S0tIkn1pMTU1FbW2tZPPQGTNmQKFQIDExUTL%2B7t274ezsjPHjxz/UdSEiIqKeT5GYmIgXX3wRW7ZsQVhYGPr27WuRwqtWrcLhw4cRFBQEg8GAffv2SY6//PLL%2BO677zB69GiEhoaKd4WOHTuGo0ePIjAwEEFBQWK%2BUqnEpk2bEBERAZ1OB39/f5w%2BfRrp6emIiYmRzDs4OBgJCQlYuHAhrl27BkdHRyQmJsJkMmHjxo2SeURHR2PChAmYNGkSwsLCUFpaivj4ePj7%2B8PPz0/Mc3Z2xooVKxAXF4fGxkaMGzcOBw8exLlz55Cenv6z9gojIiKinknWt29fobm5GXV1dQAAW1tbWFlZSZNkMty%2BffuRCv/617/G6dOn2z3e0tKCqqoqREZGIj8/HxUVFWhpacGwYcMwd%2B5crF692mwewN1PPG7btg1ff/01XFxcsGzZMixbtswsr6qqClFRUTh06BCMRiO8vLwQFxeH0aNHm%2BWeP38ea9euRWFhIezs7DBr1izExMRINh9tFRsbi%2BTkZOj1eri6umLdunWSbSfawp3ciYiIOl9X7uQue/nll4WHufvyl7/8pROm0zOxwSIiIup8XdlgKe79Xj4iIiIi%2Bvd16k7uRERERI8DOQCUlZUhIiICI0aMQP/%2B/XHmzBkAdz95t2rVKhQVFXXpJImIiIi6E0VxcTGef/55NDU1Ydy4cSguLkZTUxMAwNHRESdPnsSdO3fwxz/%2BsYunSkRERNQ9KNasWQNbW1vk5%2BfDysoKAwYMkCRMnToVBw4c6KLpEREREXU/8k8//RRLly7FwIED29zLafDgwSgvL%2B%2BCqRERERF1T/KWlpY293tqZTAYxJ3PiYiIiOjB5KNHj8axY8faPNjS0oKMjAz813/9VydPi4iIiKj7kr/xxhs4cuQIli1bhuLiYgB371qdOnUKAQEB%2BOKLL/DGG2908TSJiIiIug/F1KlTkZKSghUrVohfZNz6bdS2trZ4//334e3t3YVTJCIiIupeFACwYMECvPTSSzh27BhKSkpgMpkwdOhQTJkyBfb29l09RyIiIqJuRdH6Dzs7O4SEhHTlXIiIiIh6BEVFRcVDJTo5OXXwVIiIiIh6BsUTTzzR5v5XP9XS0tIJ0yEiIiLq/hR79uwxa7BaWlpw8%2BZN/OUvf4FWq8WSJUu6aHpERERE3Y/i1VdfbffgunXr4OXlhfr6%2Bk6cEhEREVH3Jr/fQVtbW7zyyivYtm1bZ82HiIiIqNu7b4PVSq/Xd/Q8iIiIiHoMRXsH6urqcPr0acTFxcHDw6Mz50RERETUrSmsra3b/BRhS0sLBEGAs7Mz3nvvvS6YGhEREVH3pFi7dq1ZgyWTydCvXz9xN3dra%2Bsumh4RERFR96P43//9366eAxEREVGP8lCL3H%2BOgoICREREYOTIkbC1tcXgwYMxa9YsfPnll2a5xcXFCAgIgJ2dHTQaDebPnw%2BDwdBm3ZSUFLi7u0OlUsHNzQ27du1qM6%2BqqgphYWEYMGAAbG1t4ePjg8uXL7eZe/78eUycOBFqtRparRbLly9HbW2tWZ4gCNiyZQuGDBkClUqFUaNGISMj4xGuChERET0OFGFhYY98kkwmQ3Jy8n1zYmNjcf78eYSEhOC5557Dd999h507d2LMmDH47LPP4O7uDgAoLy/H888/j379%2BmHz5s2orq7G1q1b8fe//x2ff/45FIr/tw4/OTkZ4eHhCAkJwerVq3HmzBlERkbCaDQiKipKzBMEAYGBgbh69SrWrFkDjUaDxMREeHt7o7CwEEOHDhVzi4qK4OvrC3d3d2zfvh1lZWXYunUrSkpKcOTIEcl7WrduHWJjY7FkyRKMHTsWubm5mDNnDuRyOXQ63SNfRyIiIuqZZE888YRgNBpRWVkJ4O6XPgNAdXU1AMDBwQEqlUp6kkyGb7/99r6F8/PzMXbsWEmDVFJSgmeffRYhISFITU0FACxduhSpqam4fv06nJ2dAQAnTpyAn58f9uzZg9aNUOvr6%2BHi4oLx48cjNzdXrDlv3jzk5uaitLQU9vb2AIDMzEzMnj0b2dnZmDlzJgDAYDDAzc0NgYGBSEtLE88PDAzElStXcP36dajVagB375KFhYXh%2BPHj8PX1BQBUVFTg6aefxmuvvYYdO3aI50%2BePBk3b97EzZs32/3KocLCQnh6euKZV3ai96Bh971u/ylKPlgPX4%2BnkJWV1dVTISIi%2Blla//5eunQJY8aM6dSx5Z988gl69%2B6NNWvWoKKiAlVVVaiqqkJFRQWioqKgVquRl5eH0tJS8edBzRUA/PKXv5Q0VwAwbNgwjBgxAv/4xz/EWE5ODqZNmyY2VwDwwgsvwM3NDZmZmWLs5MmTqKysxNKlSyU1X3/9ddTU1EjuNmVnZ2PQoEFicwUAjo6O0Ol0yM3NRVNTE4C7TWReXh7mzZsnNlcAMH/%2BfKjVasn4hw4dQnNzM8LDwyXjh4eHo6ysDBcuXHjgNSEiIqLHgzwiIgJ%2Bfn7YvHkzBg0aJB4YNGgQYmNj4evri4iICIsNeOvWLTg6OgK4e1fo%2B%2B%2B/x9ixY83yvLy8JGumWv/t6ekpyfP09IRcLjfLbatT9fLyQl1dHW7cuAEAuHr1Kpqbm81qWltbw8PDQ1KzqKgIarUaw4cPN6spCEK767uIiIjo8SNvfZTXnrFjx1rs7kxaWhrKy8sxe/ZsAP9vh3itVmuWq9VqUVlZKd5t0uv1sLKyEpuzVtbW1tBoNKioqBBjer2%2B3ZoAxFy9Xg%2BZTNZu7k9rDhw48IE1iYiIiOR9%2B/bF8ePH2004evSouLbp31FcXIyIiAhMmDAB8%2BfPBwAYjUYAQK9evczylUqlJMdoNMLGxqbN2kqlUsxrzW2vpiAIkpr3G/9ha95bi4iIiEgeFhaGDz/8EC%2B99BJOnTqFsrIylJWV4eTJk/jNb36DI0eOYMmSJf/WILdu3cLUqVPRr18/HDhwQFwM3rp4vqGhweyc%2Bvp6SY5KpUJjY2Ob9evr6yUL8VUqVbs1ZTKZpOb9xn/YmvfWIiIiIlK8/fbbMBqN2LZtGw4dOiQ5aGVlhf/%2B7//GO%2B%2B887MHuHPnDgICAnDnzh2cPXtWss6r9fFaW18mrdfr4eDgIO4ir9Vq0dLSAoPBIHlM2NTUhNu3b8PJyUlSt72aAMRcrVYLQRDazf1pzVOnTj2w5v2UfpIMK6VaEnNw94bDCO8HnktERETt279/P/bv3y%2BJVVVVddFsAIVMJsPvfvc7rFy5EsePHxc/ITh48GD4%2Bfm1ue7oYTU0NGDatGkoKSnBiRMn8Itf/EJy3MnJCf3790dBQYHZuZ9//rnkS6Y9PDwgCAIKCgoQEBAgxi9evAiTyWSWe/bsWbOa%2Bfn56N27N9zc3AAAI0eOhEKhQEFBAYKDg8W8pqYmFBUVYdasWZKaKSkpKC4ulix0z8/Ph0wme6gvxHbxW9JttmkgIiLqTkJDQxEaGiqJtW7T0BXEndwHDBiAefPm4a233sJbb72FuXPn/lvNlclkgk6nw2effYasrCx4eXm1mffSSy/ho48%2BQnl5uRg7ceIEbty4Idm808fHBw4ODkhKSpKcn5SUBLVajalTp4qx4OBg3Lp1Czk5OWLMYDAgKysLQUFB4l2xPn36wNfXF2lpaZKd21NTU1FbWysZf8aMGVAoFEhMTJSMv3v3bjg7O2P8%2BPGPcnmIiIioB1MAd5uhnJwcnDx5Et9//z02bNiAkSNH4s6dOzh16hR%2B%2BctfYsCAAY9UeNWqVTh8%2BDCCgoJgMBiwb98%2ByfGXX34ZwN3d0bOysuDt7Y3ly5ejuroacXFxGDVqFBYsWCDmK5VKbNq0CREREdDpdPD398fp06eRnp6OmJgY9O3bV8wNDg5GQkICFi5ciGvXrsHR0RGJiYkwmUzYuHGjZB7R0dGYMGECJk2ahLCwMJSWliI%2BPh7%2B/v7w8/MT85ydnbFixQrExcWhsbER48aNw8GDB3Hu3Dmkp6e3u8koERERPX4Ud%2B7cwZQpU3DhwgWoVCrU19eLm2n27t0b4eHhWLBgAaKjox%2Bp8P/93/9BJpPh8OHDOHz4sNnx1gbriSeewKeffopVq1bhzTffhI2NDaZNm4a4uDjxTlOr8PBw2NjYYNu2bTh8%2BDBcXFyQkJCAZcuWSfLkcjmOHj2KqKgo7Ny5E0ajEV5eXkhNTYWrq6skd/To0cjLy8PatWuxatUq2NnZYfHixYiJiTGbc2xsLBwcHJCcnIy9e/fC1dUV%2B/btkzxKJCIiIpKFh4cLqampOHDgAMaOHYuBAwciLy8PPj4%2BAIDly5fj9OnT3Ejz38CvyiEiIup8XfpVOQcPHsSyZcswZcoUyOVyswQ3NzfcvHmzUydFRERE1J3J//Wvf2HIkCHtJjQ3N4u7qRMRERHRg8mHDh1638d/eXl5eOaZZzpxSkRERETdm3zRokV4//33kZ2dLQZlMhmampqwYcMG/PWvf0VYWFgXTpGIiIioe1GsXLkSV69eRUhICDQaDQBg3rx5MBgMaGxsxKJFi7B48eIuniYRERFR96GQyWT405/%2BhN/%2B9rfIysrCl19%2BCZPJhKFDh0Kn04mfJiQiIiKih6P461//iieffBLe3t7w9vbu6vkQERERdXvymTNn4syZM109DyIiIqIeQz5s2DBUVlZ29TyIiIiIegz5G2%2B8gffeew8lJSVdPRciIiKiHkFx%2BfJl9OvXD%2B7u7njhhRfw1FNPQaVSSZJkMhm2bdvWRVMkIiIi6l4UCQkJ4ovjx4%2B3mcQGi4iIiOjhKfg1OERERESWpbCysurqORARERH1KHIAuH37NqysrPC3v/2tq%2BdDRERE1O3JW/8hCEJXzoOIiIiox5A/OIWIiIiIHgUbLCIiIiILUxQWFqKqqgoA8OWXX6Jv375tJo4ZM6Yz50VERETUbSnGjRsnvli6dKlZgiAIkMlkaGlp6cx5EREREXVbivfff7%2Br50BERETUo8h/%2B9vf4mF%2Bfo7a2lps2LABU6ZMgUajgVwuR2pqqlnewoULIZfLzX7c3d3brJuSkgJ3d3eoVCq4ublh165dbeZVVVUhLCwMAwYMgK2tLXx8fHD58uU2c8%2BfP4%2BJEydCrVZDq9Vi%2BfLlqK2tNcsTBAFbtmzBkCFDoFKpMGrUKGRkZDzCVSEiIqKeTtGRxQ0GAzZt2oTBgwfDw8MDp06dajdXqVQiJSVFsl2Evb29WV5ycjLCw8MREhKC1atX48yZM4iMjITRaERUVJSYJwgCAgMDcfXqVaxZswYajQaJiYnw9vZGYWEhhg4dKuYWFRXB19cX7u7u2L59O8rKyrB161aUlJTgyJEjkvHXrVuH2NhYLFmyBGPHjkVubi7mzJkDuVwOnU73b1wtIiIi6ik6tMFycnLCd999hwEDBuDSpUu4d72X2UQUCoSGht63Xn19PdavX4/p06fjgw8%2BAAAsWrQILS0t2LRpE8LCwsSm7MCBA7hw4QKys7Mxc%2BZMAEBISAjc3NywYcMGpKWliXXXrVsHBwcHfPrpp1Cr1QCAwYMHIywsDHl5efD19QUAVFRUID4%2BHsuWLcOOHTvE8SdPnoyoqCiEhIRAJpP9zKtFREREPUWHbtNgbW2NAQMGPHS%2ByWRCdXV1u8dPnjyJyspKs8X4r7/%2BOmpqaiR3m7KzszFo0CCxuQIAR0dH6HQ65ObmovU7GKurq5GXl4d58%2BaJzRUAzJ8/H2q1GpmZmWLs0KFDaG5uRnh4uGT88PBwlJWV4cKFCw/9XomIiKjn%2Bo/ZB6uurg59%2BvSBvb09NBoNIiIizNZAta6f8vT0lMQ9PT0hl8sl66suX77c5tYSXl5eqKurw40bNwAAV69eRXNzs1lNa2treHh4SGoWFRVBrVZj%2BPDhZjUFQWh3fRcRERE9Xv4jGiwnJyesWbMGf/7zn5GRkYEZM2YgMTERU6ZMgclkEvP0ej2srKzg6OgoOd/a2hoajQYVFRWSXK1WazZWa6w1V6/XQyaTtZv705oDBw58YE0iIiJ6vHXoGqyHFR0dLXmt0%2Bng6uqK9evXIysrS1w8bjQaYWNj02YNpVIJo9EovjYajejVq1ebeYIgiLmtv9vLfdia99YiIiKix9t/xB2stqxcuRIymQx5eXliTKVSobGxsc38%2Bvp6qFQqSW5DQ0ObeTKZTMxt/d1e7sPWvLcWERERPd7%2BI%2B5gtUWpVEKj0aCyslKMabVatLS0wGAwSB4TNjU14fbt23BycpLk6vV6s7qtsdZcrVYLQRDazf1pzba2mvhpzfaUfpIMK6VaEnNw94bDCO/7nkdERET3t3//fuzfv18Sa/0qwK7wH9tg1dTUwGAwoH///mLMw8MDgiCgoKAAAQEBYvzixYswmUzw8PCQ5J49e9asbn5%2BPnr37g03NzcAwMiRI6FQKFBQUIDg4GAxr6mpCUVFRZg1a5akZkpKCoqLiyUL3fPz8yGTySTjt8XFbwl6Dxr2CFeBiIiIHkZoaKjZdk%2BFhYVmH2LrLF3%2BiLChoQE1NTVm8XfffRcAMGXKFDHm4%2BMDBwcHJCUlSXKTkpKgVqsxdepUMRYcHIxbt24hJydHjBkMBmRlZSEoKAjW1tYAgD59%2BsDX1xdpaWmSTy2mpqaitrZWsnnojBkzoFAokJiYKBl/9%2B7dcHZ2xvjx43/OJSAiIqIepsPvYL333nv48ccfUV5eDgD48MMPUVpaCgCIjIxEZWUlRo8ejdDQUPGu0LFjx3D06FEEBgYiKChIrKVUKrFp0yZERERAp9PB398fp0%2BfRnp6OmJiYtC3b18xNzg4GAkJCVi4cCGuXbsGR0dHJCYmwmQyYePGjZI5RkdHY8KECZg0aRLCwsJQWlqK%2BPh4%2BPv7w8/PT8xzdnbGihUrEBcXh8bGRowbNw4HDx7EuXPnkJ6ezk1GiYiICAAgE%2B79bpoO8PTTT%2BPbb79t89jXX38Ne3t7REZGIj8/HxUVFWhpacGwYcMwd%2B5crF69GlZWVmbnpaSkYNu2bfj666/h4uKCZcuWYdmyZWZ5VVVViIqKwqFDh2A0GuHl5YW4uDiMHj3aLPf8%2BfNYu3YtCgsLYWdnh1mzZiEmJkay%2BWir2NhYJCcnQ6/Xw9XVFevWrcPs2bPbvQattyifeWVnt3lEWPLBevh6PIWsrKyungoREdHP0vr399KlS23ujdmROrzBIjZYREREXaErG6wuX4NFRERE1NOwwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiIL69AGq7a2Fhs2bMCUKVOg0Wggl8uRmpraZm5xcTECAgJgZ2cHjUaD%2BfPnw2AwtJmbkpICd3d3qFQquLm5YdeuXW3mVVVVISwsDAMGDICtrS18fHxw%2BfLlNnPPnz%2BPiRMnQq1WQ6vVYvny5aitrTXLEwQBW7ZswZAhQ6BSqTBq1ChkZGQ85BUhIiKix0GHNlgGgwGb/v/27jyqqnr9H/h7HznHczyAyaQHclZSU0NRcyhlEYY4mwxqOWXSxRTLrpI22BUxK1JLwwnX7bpQM4fK1Lo3XGXXgRARl1rmUJkMOZYDHmR6fn/0O/vr7hwsbwfB7fu11lkLPvvZz/48Z0Pnce/Np%2BRkHD16FCEhIVAUxWVcQUEBHn74YXz//feYP38%2Bpk%2Bfjm3btuHRRx9FeXm5Jnb58uWYOHEiOnTogCVLlqBnz55ITEzEm2%2B%2BqYkTEfTv3x/vv/%2B%2Buv3cuXMICwvDyZMnNbF5eXmIiIhASUkJFi5ciIkTJ2LFihWIjY11muusWbPwwgsvIDIyEkuWLEHTpk0xatQofPDBB3/x3SIiInSJcLgAAB3sSURBVCK98KjO5IGBgfj5558REBCA/fv3o2vXri7jUlJSYLfbkZeXh6CgIABA165d0bdvX7z33nt46qmnAAAlJSV46aWXMGjQIKxfvx4AMGHCBFRUVCA5ORnx8fGoX78%2BAGDDhg3Yu3cvNm3ahGHDhgEAYmJiEBwcjNmzZyMjI0M9/qxZs%2BDj44OdO3fCarUCAJo2bYr4%2BHhkZmYiIiICAFBYWIgFCxZgypQpePvtt9Xj9%2BnTB9OnT0dMTEyVTSQRERHdPar1CpbRaERAQMAfxm3evBkDBw5UmysAeOSRRxAcHKy5MvTFF1/g4sWLmDRpkmb/Z555BlevXsW2bdvUsU2bNqFRo0ZqcwUAfn5%2BiI2Nxccff4yysjIAwJUrV5CZmYnRo0erzRUAjBkzBlarVXP8jz76COXl5UhISNAcPyEhAfn5%2Bdi7d%2B8f1kpERET6V%2BMPuRcWFuLs2bPo0qWL07Zu3bppnplyfB0aGqqJCw0NhcFgcIrt3Lmzy5zXrl3DsWPHAACHDh1CeXm5U06j0YiQkBBNzry8PFitVrRp08Ypp4hU%2BXwXERER3V1qvMEqKioCANhsNqdtNpsNFy9eVK82FRUVoU6dOvDz89PEGY1G%2BPr6orCwUJO3qpwA1NiioiIoilJl7O9zNmzY8A9zEhER0d2txhssu90OAKhbt67TNrPZrImx2%2B0wmUwu85jNZjXOEVtVThHR5LzZ8f9szhtzERER0d2txhssi8UCALh%2B/brTtpKSEk2MxWJBaWmpyzwlJSVqnCO2qpyKomhy3uz4fzbnjbmIiIjo7latf0X4ZzhurzluFd6oqKgIPj4%2BMBqNamxFRQXOnz%2BvuU1YVlaGCxcuIDAwUJO3qpwA1FibzQYRqTL29zm//PLLP8xZldOfL0cds1Uz5tMuDD73h910PyIiIrq5devWYd26dZqxS5cu1dBsakGDFRgYCH9/f%2BTk5Dhty87ORkhIiPp9SEgIRAQ5OTno16%2BfOr5v3z5UVlY6xe7atcspZ1ZWFurVq4fg4GAAQPv27eHh4YGcnBxER0ercWVlZcjLy0NcXJwm56pVq3D06FHNg%2B5ZWVlQFEVzfFca930a9Rq1umkMERER3bqRI0di5MiRmrHc3FynP2K7XWr8FiEADB8%2BHFu3bkVBQYE6tmPHDhw7dkyz2Gd4eDh8fHywdOlSzf5Lly6F1WrFgAED1LHo6GicOXMGmzdvVsfOnz%2BPjRs3YvDgwepVMW9vb0RERCAjI0Ozcvvq1atRXFysOf6QIUPg4eGBtLQ0zfGXLVuGoKAg9OzZ8y%2B%2BE0RERKQH1X4F691338Wvv/6qNk9btmzB6dOnAQCJiYnw8vLCrFmzsHHjRoSFhWHq1Km4cuUKUlNT8cADD2DcuHFqLrPZjOTkZEyePBmxsbGIjIzEV199hbVr12LevHm455571Njo6GgsWrQI48ePx5EjR%2BDn54e0tDRUVlbi1Vdf1cwxJSUFvXr1Qu/evREfH4/Tp09jwYIFiIyMRN%2B%2BfdW4oKAgPPvss0hNTUVpaSm6du2KDz/8ELt378batWu5yCgREREBABQRkeo8QPPmzfHTTz%2B53PbDDz%2BgSZMmAIBvv/0W06ZNw65du2AymTBw4ECkpqbC39/fab9Vq1bhrbfewg8//IDGjRtjypQpmDJlilPcpUuXMH36dHz00Uew2%2B3o1q0bUlNT0alTJ6fYPXv2ICkpCbm5ufDy8kJcXBzmzZunWXzU4fXXX8fy5ctRVFSE1q1bY9asWRgxYkSV74HjEmXbJxffMbcIT6x/CREhzbBx48aangoREdH/xPH5u3//fpdrY1anam%2BwiA0WERFRTajJBqtWPINFREREpCdssIiIiIjcjA0WERERkZuxwSIiIiJyMzZYRERERG7GBouIiIjIzdhgEREREbkZGywiIiIiN2ODRURERORmbLCIiIiI3IwNFhEREZGbscEiIiIicjM2WERERERuxgaLiIiIyM3YYBERERG5GRssIiIiIjdjg0VERETkZmywiIiIiNyMDRYRERGRm7HBIiIiInIzNlhEREREblYrGqydO3fCYDA4verUqYPs7GxN7NGjR9GvXz94eXnB19cXY8aMwfnz513mXbVqFdq1aweLxYLg4GAsWbLEZdylS5cQHx%2BPgIAAeHp6Ijw8HAcOHHAZu2fPHjz00EOwWq2w2WyYOnUqiouL/9obQERERLriUdMTuNGzzz6LLl26aMZatWqlfl1QUICHH34YDRo0wPz583HlyhW8%2BeabOHz4MLKzs%2BHh8X/lLF%2B%2BHAkJCYiJicHzzz%2BP//73v0hMTITdbsf06dPVOBFB//79cejQIcyYMQO%2Bvr5IS0tDWFgYcnNz0bJlSzU2Ly8PERERaNeuHRYuXIj8/Hy8%2BeabOHHiBLZt21aN7wwRERHdSWpVg/XQQw/hscceq3J7SkoK7HY78vLyEBQUBADo2rUr%2Bvbti/feew9PPfUUAKCkpAQvvfQSBg0ahPXr1wMAJkyYgIqKCiQnJyM%2BPh7169cHAGzYsAF79%2B7Fpk2bMGzYMABATEwMgoODMXv2bGRkZKjHnzVrFnx8fLBz505YrVYAQNOmTREfH4/MzExERES4/00hIiKiO06tuEV4o6tXr6KiosLlts2bN2PgwIFqcwUAjzzyCIKDg/HBBx%2BoY1988QUuXryISZMmafZ/5plncPXqVc3Vpk2bNqFRo0ZqcwUAfn5%2BiI2Nxccff4yysjIAwJUrV5CZmYnRo0erzRUAjBkzBlarVXN8IiIiurvVqgZr/Pjx8Pb2htlsRnh4OPbv369uKywsxNmzZ51uIQJAt27dNM9MOb4ODQ3VxIWGhsJgMDjFdu7c2WXOa9eu4dixYwCAQ4cOoby83Cmn0WhESEhIlc9sERER0d2nVjRYJpMJ0dHRePvtt7FlyxakpKTg8OHD6N27Nw4ePAgAKCoqAgDYbDan/W02Gy5evKhebSoqKkKdOnXg5%2BeniTMajfD19UVhYaE6VlRUVGVOAGpsUVERFEWpMvbGnERERHR3qxXPYPXo0QM9evRQvx84cCCGDx%2BOjh07YubMmdi%2BfTvsdjsAoG7duk77m81mAIDdbofRaITdbofJZHJ5LLPZrOZy7FNVThFRY//o%2BDfmJCIiortbrbiC5UrLli0xZMgQfPHFFxARWCwWAMD169edYktKSgBAjbFYLCgtLXWZt6SkRI1zxFaVU1EUTc6bHf/GnERERHR3qxVXsKrSuHFjlJaWori4WL0157hVeKOioiL4%2BPjAaDQC%2BO2WXUVFBc6fP6%2B5TVhWVoYLFy4gMDBQHbPZbFXmBKDG2mw2iEiVsTfmrMrpz5ejjtmqGfNpFwaf%2B8P%2BcF8iIiKq2rp167Bu3TrN2KVLl2poNrW8wTp58iTMZjM8PT3h6ekJf39/5OTkOMVlZ2cjJCRE/T4kJAQigpycHPTr108d37dvHyorK51id%2B3a5ZQzKysL9erVQ3BwMACgffv28PDwQE5ODqKjo9W4srIy5OXlIS4u7g/radz3adRr1OoP44iIiOjWjBw5EiNHjtSM5ebmOv1x2u1SK24RulqJ/eDBg/jkk08QGRmpjg0fPhxbt25FQUGBOrZjxw4cO3YMsbGx6lh4eDh8fHywdOlSTc6lS5fCarViwIAB6lh0dDTOnDmDzZs3a%2BazceNGDB48WL0q5u3tjYiICGRkZGhWbl%2B9ejWKi4s1xyciIqK7W624ghUXFweLxYKePXsiICAAR44cwcqVK%2BHp6YnXXntNjZs1axY2btyIsLAwTJ06FVeuXEFqaioeeOABjBs3To0zm81ITk7G5MmTERsbi8jISHz11VdYu3Yt5s2bh3vuuUeNjY6OxqJFizB%2B/HgcOXIEfn5%2BSEtLQ2VlJV599VXNPFNSUtCrVy/07t0b8fHxOH36NBYsWIDIyEj07du3ut8mIiIiukPUigZr2LBhWLNmDRYuXIjLly/D398f0dHReOWVV9CiRQs17t5778XOnTsxbdo0zJw5EyaTCQMHDkRqaqp6pckhISEBJpMJb731Fj755BM0btwYixYtwpQpUzRxBoMBn376KaZPn47FixfDbrejW7duWL16NVq3bq2J7dSpEzIzM5GUlIRp06bBy8sLEydOxLx586rvzSEiIqI7jiIiUtOT0DvHPeC2Ty6%2BY57BOrH%2BJUSENMPGjRtreipERET/E8fn7/79%2B10uKl6dasUzWERERER6wgaLiIiIyM3YYBERERG5GRssIiIiIjdjg0VERETkZmywiIiIiNyMDRYRERGRm7HBIiIiInIzNlhEREREbsYGi4iIiMjN2GARERERuRkbLCIiIiI3Y4NFRERE5GZssIiIiIjcjA0WERERkZuxwSIiIiJyMzZYRERERG7GBouIiIjIzdhgEREREbkZGywiIiIiN2ODRURERORmbLCIiIiI3IwN1i0qLS1FUlISgoKCUK9ePXTv3h2ZmZk1PS0iIiKqRdhg3aKxY8di0aJFGD16NN555x14eHigf//%2B2LNnT01PjYiIiGoJNli3IDs7G%2BvXr8f8%2BfMxf/58PPXUU9ixYweaNm2KGTNm1PT0apV169bV9BRuK9arb6xX31gvVQc2WLdg48aN8PDwwMSJE9WxunXrYsKECdi7dy8KCgpqcHa1y932C8x69Y316hvrperABusW5OXlITg4GJ6enprxbt26qduJiIiI2GDdgqKiIthsNqdxm80GEUFhYWENzIqIiIhqGzZYt8But6Nu3bpO42azWd1ORERE5FHTE7iTWCwWXL9%2B3Wm8pKRE3e6Ko/H6cdsi1DG5jqlt7Od%2BxM%2BNzFizZs3/tH9%2Bfv7/vO9fYTAYUFlZeduP%2B1fqrak5/xUFBQU1cn7/ir/yPvPn%2Bc/jz/PtcSf%2BPPv5%2BcHf3/%2B2HvPbb78FUEMXQIT%2BtL59%2B8r999/vNL5jxw5RFEW2bt3qcr%2BMjAwBwBdffPHFF1981cArIyOjulsEJ7yCdQtCQkLw5Zdf4urVq5oH3bOysqAoCkJCQlzuFxkZiYyMDDRr1qzKq1xERETkXna7HT/%2B%2BCMiIyNv%2B7EVEZHbftQ7VHZ2Nrp3747U1FRMmzYNwG8ru7dv3x7%2B/v7YvXt3Dc%2BQiIiIagNewboF3bp1Q0xMDGbOnIkzZ86gVatWeO%2B993Dq1Cn885//rOnpERERUS3BK1i3qLS0FC%2B//DIyMjLwyy%2B/oGPHjpg7dy4iIiJqempERERUS7DBIiIiInIzroNFRERE5GZssKpRaWkpkpKSEBQUhHr16qF79%2B7IzMy8rXMoLi7G7NmzERUVBV9fXxgMBqxevdpl7NGjR9GvXz94eXnB19cXY8aMwfnz513Grlq1Cu3atYPFYkFwcDCWLFniMu7SpUuIj49HQEAAPD09ER4ejgMHDriM3bNnDx566CFYrVbYbDZMnToVxcXFTnEigjfeeAMtWrSAxWLBAw88gPfffx85OTmYPHky2rdvD09PTzRt2hRxcXE4fvy47moFgG%2B%2B%2BQaxsbFo2bIlrFYr/P390adPH2zdulWX9bqSkpICg8GAjh076q7mnTt3wmAwOL3q1KmD7OxsXdV6o9zcXAwePBi%2Bvr6wWq3o0KGD0xz1Uu/48eNdnmPHeS4qKtJVzSdOnMCIESPQuHFjWK1WtG3bFsnJyU5rVOmhVkcAVZMRI0aIyWSSpKQkWblypfTq1UuMRqPs3r37ts3hxx9/FEVRpFmzZhIeHi4Gg0H%2B9a9/OcXl5%2BeLn5%2BftG7dWpYsWSKvvfaa%2BPj4SKdOnaSsrEwTu2zZMlEURWJjYyU9PV3Gjh0riqLIG2%2B8oYmrrKyUnj17ipeXlyQnJ0taWpq0b99evL295cSJE5rYAwcOiMVikdDQUFm%2BfLm8/PLLYjabpX///k5zfeGFF0RRFPnb3/4m6enpMmjQIFEURR588EEJDAyUqVOnyqpVqyQlJUUaNWoknp6ecuTIEV3Vun79etm%2BfbtERUXJnDlzJD09Xd555x3p06ePKIoiK1eu1F29v5efny9Wq1W8vLykQ4cOTtvu9Jpnz54tiqLIc889J2vWrNG8Lly4oKtaHef33//%2Bt9StW1d69OghixYtkvT0dJk5c6YkJSXpst6srCync5uRkSFWq1XzM62HmtPS0uSee%2B6R5s2by%2Buvvy4rV66UJ598UhRFkaFDh%2BqqVsf5ZYNVTb7%2B%2BmtRFEUWLFigjpWUlEirVq2kV69et20epaWlcubMGRERycnJEUVRXDZYCQkJYrVaJT8/Xx3LzMx0%2BrC22%2B3i5%2BcngwcP1uz/xBNPiJeXl/z666/q2Pr160VRFNm8ebM6du7cOWnQoIE8/vjjmv2joqIkKChIrl69qo6lp6eLwWCQzz//XB0rKCgQk8kkiYmJmv179%2B4tDRs2lNLSUs348ePHxWw2y%2BjRo3VVa5MmTaSyslJ%2Br7KyUkJCQqRt27a6rzcuLk4iIiIkLCzMqcHSQ80BAQGiKIps2rRJbkYPtTZp0kQuXbokjRo1kujo6LuiXle/vyIiu3btEkVRZP78%2BbqquX79%2BmIwGOTbb7/VbBs7dqwYDAZ1bnqo1XF%2B2WBVk%2BnTp4vRaJQrV65oxl977TUxGAyaH57b5WYNVsOGDSUuLs5p/L777pO%2Bffuq32/fvl0MBoN89tlnmri9e/eKoiiyZs0adSw2NlZsNptTzqefflo8PT3VZujy5ctiNBrlhRde0MSVlpaKl5eXTJw4UR179913Xf6Srlu3TgwGg8urg6GhodKlS5e7olYRkUGDBmnmosd6d%2B7cKUajUQ4fPuyywdJDzYqiqA3WlStXpLy83OnYeqnVYDDI3//%2BdzEYDPLdd9%2BJiEhxcbHLJkQv9Vb1%2B5uQkCB16tSRU6dO6apmAGIwGDRXX0VEkpKSxMPDQ65du6abWh3nl89gVZO8vDwEBwdrVnwHfltLy7G9tigsLMTZs2fRpUsXp23dunXT3Kd2fB0aGqqJCw0NhcFgcIrt3Lmzy5zXrl3DsWPHAACHDh1CeXm5U06j0YiQkBBNzry8PFitVrRp08Ypp4i4vKd%2B5swZ%2BPn56bbWa9eu4cKFC/j%2B%2B%2B%2BxcOFCfPrpp%2BqyIXqst7KyEomJiZg4cSLuv/9%2BpznoqWbgt%2Bd0vL29YTabER4ejv379%2Buy1h07dsDb2xunT59GmzZt4OnpCW9vb0yaNEn9f8DqqV5X/60qLy/Hhg0b0KtXLzRp0kRXNQO/PbP05JNP4uDBg8jPz8f69euxbNkyTJ06FRaLRTe1Os4vG6xqUlRUBJvN5jRus9kgIigsLKyBWbnmeJCyqvlevHgRZWVlamydOnXUhsXBaDTC19dXU9fN3gMAamxRUREURaky9vc5GzZs%2BIc5HTIyMlBQUIARI0bottbnn38e/v7%2BaNWqFaZPn47HHnsMixcv1m29S5cuxU8//YTk5GSnWL3VfN999%2BHtt9/Gli1bkJKSgsOHD6N37944ePCg7motKChAWVkZhgwZgqioKGzevBkTJkzAsmXL8OSTT%2BquXlefAZ999hkuXLiAxx9/XJNHDzUrioLevXvj888/R6dOndCkSROMGjUKiYmJSE1N1VWtjpxcyb2a2O121K1b12ncbDar22sLx1z%2BaL5GoxF2ux0mk8llHrPZrKnrZu%2BBiKixf3T8P5vzxlzAb3%2BJMnnyZPTq1QtjxozRba3PPfccYmJiUFhYiA8%2B%2BAAVFRXqv/j1Vu/Fixcxe/ZsvPLKK/Dx8XE5V73UrCgKoqKiMG7cOADAwIEDMXz4cHTs2BEzZ87E9u3bdVMrAFy/fh12ux0JCQlYuHAhAGDo0KG4fv06VqxYgTlz5uiqXlefAWvXroXJZEJMTIwmz82O6Yi5E2q2WCzo06cPoqOj4ePjg23btiElJQWNGjXCpEmTdFWr3W5ng1VdLBaL%2BiF3o5KSEnV7beGYy5%2BZr8ViQWlpqcs8JSUlmrpu9h4oiqLJebPj/9mcN%2BY6c%2BYMBgwYgAYNGmDDhg1QFEW3tQYHByM4OBgA8MQTTyAyMhKDBw9GVlaW7up98cUX4evri8mTJ7uc55855o0xd0LNN2rZsiWGDBmCDz/8ECKiq1odH5aOq80Oo0aNwvLly7F37160bdtWN/X%2B/twWFxdjy5Yt6NevHxo0aKDJc7Nj3hhTm2t23AY%2BdeqUepVn6NChqKioQFJSEkaOHKmbWh3beYuwmthsNs0aJg6OscDAwNs9pSo5ftirmq%2BPjw%2BMRqMaW1FR4bQmSVlZGS5cuKCp68%2B%2BB47bplXF/j7nzz//fNOcly9fRr9%2B/XD58mV89tlnaNSokW5rdSU6Ohr79u3D8ePHdVWv0WjEypUrkZiYiIKCApw6dQo//vgjSkpKUFZWhlOnTuGXX37RVc2uznHjxo1RWlqK4uJiXdXq6%2BsLAE63XQICAgBA9%2Bf2ww8/hN1u19wedOTRS81NmjRxuv02ePBgXLt2DQcOHNBVrYGBgWywqktISAiOHTuGq1evasazsrKgKApCQkJqaGbOAgMD4e/vj5ycHKdt2dnZmrmGhIRARJxi9%2B3bh8rKSqfY3Nxcp5xZWVmoV6%2BeetWlffv28PDwcMpZVlaGvLw8p5zXrl3D0aNHnXIqioJ27dph4MCBOHHiBLZt24b77rtPt7VW9TPkuIx96dIlXdXr5%2BcHEUFiYiKaN2%2BO5s2bo0WLFvj666/x3XffoUWLFkhOTtZVza7O8cmTJ2E2m%2BHp6amrWrt27Qrgt2exbuR47iUgIEBX9f7%2B3K5Zswaenp4YNGiQZlwvNQOu79yUlZVBRFBeXq6bWtXz6/R3i%2BQWjnWw3nrrLXXs%2BvXr0rp1a%2BnZs2eNzOl/XQdrxYoV6pjdbhdfX1%2BXa494enrKL7/8oo6tX79eDAaDZh0fx9ojo0aN0ux/s7VH/vOf/6hj%2Bfn5YjKZZMqUKZr9H374Ybn33ntl8ODBYjKZnP50V2%2B1Nm7cWF3f7EZlZWXSuXNnsVqtUlxcrKt6z507Jx9//LHTq3379tKsWTPZsmWLHD58WDc1BwYGOi1TkJeXJyaTSYYNG6aO6aHWxo0bS25uriiKIk888YRm%2B8iRI8VkMklRUZGu6r3x3J47d06MRqOMGzdOXNFDzWazWcxmsxw/flyzbejQoeLh4aHL88sGqxrFxsaKyWSSGTNmyIoVK6Rnz55iMplk165dt3UeS5Yskblz50pCQoIoiiLDhw%2BXuXPnyty5c%2BXy5csiInL69Gnx9/eXVq1ayeLFi2XevHni4%2BMjISEhTot3pqWlicFgkJiYGElPT5cxY8aIwWDQLIwnIlJRUSE9evQQb29vmTNnjrp6bv369eXYsWOa2NzcXLFYLNK5c2dZtmyZvPjii2KxWCQqKsqpnhkzZojBYJCnn35a0tPTZcCAAWIwGCQqKkoURZEhQ4ZIRkaG08tBD7W%2B//77MmzYMHnkkUfkH//4h6Snp8vcuXOlbdu2YjAYZNGiRbqrtyqu1sHSQ83333%2B/DBgwQFJSUmTlypXy7LPPitVqFR8fHzl69KiuanWc3wkTJojBYJC4uDhJS0uTmJgYMRgM8tJLL%2BmyXofFixc7LWR5Iz3UPHv2bDEajdKwYUN1NfWoqCg1Vk%2B1Os4vG6xqdP36dZkxY4YEBgaKxWKRBx98sMpfoOrUrFkzMRgMLl83Lmb3zTffSL9%2B/cTT01N8fHxkzJgxcvbsWZc509PTpW3btmI2m6V169byzjvvuIz79ddfZeLEieLv7y%2Benp4SHh4uubm5LmN3794tDz30kNSrV08aNmwoiYmJmn9F3Gj%2B/PnSvHlzMZvN0qFDB1m3bp2EhYVVWafBYNDsf6fXKvLbv8oeffRRsdlsYjKZxNfXVx599FHZunWrUw491FuVsLAw6dixo%2B5qXrx4sXTv3l38/PzEZDJJUFCQjB07Vk6ePKm7Wh3Ky8tlzpw50rx5c6lbt64EBwe7nJ9e6nXo0aOH2Gy2Kld310vN%2B/btkwEDBkhgYKDUrVtX2rRpI/Pnz5eKigrd1Soiooj8/9XsiIiIiMgt%2BJA7ERERkZuxwSIiIiJyMzZYRERERG7GBouIiIjIzdhgEREREbkZGywiIiIiN2ODRURERORmbLCIiIiI3IwNFhEREZGbscEiIiIicjM2WERERERuxgaLiIiIyM3YYBERERG5GRssIiIiIjdjg0VERETkZmywiIiIiNyMDRYRERGRm7HBIiIiInIzNlhEREREbvb/APBbxr68a1B%2BAAAAAElFTkSuQmCC\"/>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common7270850834030152091\">\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">358992</td>\n",
+       "        <td class=\"number\">83.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">228.0</td>\n",
+       "        <td class=\"number\">1024</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">222.0</td>\n",
+       "        <td class=\"number\">876</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">193.0</td>\n",
+       "        <td class=\"number\">528</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">298.0</td>\n",
+       "        <td class=\"number\">502</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">220.0</td>\n",
+       "        <td class=\"number\">476</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">301.0</td>\n",
+       "        <td class=\"number\">442</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">313.0</td>\n",
+       "        <td class=\"number\">439</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">304.0</td>\n",
+       "        <td class=\"number\">433</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">121.0</td>\n",
+       "        <td class=\"number\">431</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (4272)</td>\n",
+       "        <td class=\"number\">63619</td>\n",
+       "        <td class=\"number\">14.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme7270850834030152091\">\n",
+       "            <p class=\"h4\">Minimum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">358992</td>\n",
+       "        <td class=\"number\">83.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2.0</td>\n",
+       "        <td class=\"number\">181</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">3.0</td>\n",
+       "        <td class=\"number\">187</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">4.0</td>\n",
+       "        <td class=\"number\">90</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "            <p class=\"h4\">Maximum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">368367.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">392213.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">534273.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">547586.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">749606.0</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">STREETNAME<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>7387</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>1.7%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable6856523160014449215\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>ADDRESS UNASSIGNED</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 2.7%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        11598\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>YORK AVE S</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.5%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2338\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>11TH AVE S</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.5%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2205\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (7384)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 96.2%\">\n",
+       "            411621\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable6856523160014449215, #minifreqtable6856523160014449215\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable6856523160014449215\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">ADDRESS UNASSIGNED</td>\n",
+       "        <td class=\"number\">11598</td>\n",
+       "        <td class=\"number\">2.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">YORK AVE S</td>\n",
+       "        <td class=\"number\">2338</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">11TH AVE S</td>\n",
+       "        <td class=\"number\">2205</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PORTLAND AVE S</td>\n",
+       "        <td class=\"number\">1949</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">3RD AVE S</td>\n",
+       "        <td class=\"number\">1682</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">10TH AVE S</td>\n",
+       "        <td class=\"number\">1547</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">BRYANT AVE S</td>\n",
+       "        <td class=\"number\">1528</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">LYNDALE AVE S</td>\n",
+       "        <td class=\"number\">1502</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">15TH AVE S</td>\n",
+       "        <td class=\"number\">1322</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PARK AVE</td>\n",
+       "        <td class=\"number\">1297</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (7377)</td>\n",
+       "        <td class=\"number\">400794</td>\n",
+       "        <td class=\"number\">93.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>STREETTYPE</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>SUFFIX_DIR</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>Shape_Area</code></s><br/>\n",
+       "            <small>Highly correlated</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is highly correlated with <code>ACRES_POLY</code> and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Correlation</th>\n",
+       "            <td>1</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">Shape_Le_1<br/>\n",
+       "            <small>Numeric</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>364358</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>85.2%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "\n",
+       "                <tr>\n",
+       "                    <th>Mean</th>\n",
+       "                    <td>217.78</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>0.91772</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>35812</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Zeros (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram806169550977593703\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABQVJREFUeJzt2k1oE3kcxvHHbNgl0MWV7ZugmdhkUsUgCC3FFqGVoIjnVRA91IMX29OC4KoQtSBevIjexFoKi9oeLCh4ECy9%2BAIKrlrc9WUaYaXVZk8aK0mfvayzll1%2BbSOdsfT5QC75z/D/Ff5f2mkChqC/v58A9NJrXq/%2B/v7Az2oUIUgkEgCAQ4cOIR6Pz%2BmeFStWwHXdBZxKvlajo6PYs2ePf26CFEogsVgMAHDy5Mk53/NNNIrfHj7EunXrFmos%2Bcp9OjdBCiWQT5I/5RCrScx63dRff%2BKPX39BoVBY%2BKFEPhNqIN9%2B/yO%2B%2B6Fu1utY%2BhjANCL/FQl7AJGvmQIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARQzSMTYvFIgDg976fsSwye6OcngYAPHjwAJ7nzXmfSCSC6X/uXah7tMfc76murkZNTc289gCA0dFRAP%2BemyCFEsinQ14ufZzXfd3d3QswjSwWnuehra0t0D2XkWSgOwJ4%2B/Ytbty4gUQigVgsFvT2ssgUi0V4nodt27ahuro60L1DCURksdBDuohBgYgYAg/k2bNnaGtrQ2NjI1paWvz/UMjScOHCBUQiEQwNDQEA3rx5g%2B3btyOdTmPDhg0YGRnxry0Wi9i9ezdc18XatWsxODjor5FEd3c3UqkU0uk0zp49O2Ofnp4epFIpuK6LI0eOVD4wA7Zlyxb29fWRJAcGBtjc3Bz0CBISz/PY2trK1tZWXr16lSS5b98%2BHjt2jCR57949rlq1iqVSiSR5/PhxdnZ2kiRfvnzJ2tpaFgoFkuTFixeZzWZJkoVCgY7j8MmTJyTJ4eFhZjIZFotFTk1NsampidevX69o5kADmZiY4PLly1kul/336uvr%2Bfz58yDHkBBMT08zm83y/v37bG9v9wOpqqri%2BPi4f11LSwtv3rxJkly/fj3v3Lnjr%2B3cuZPnz58nSe7YsYOXLl3y1w4ePMijR4%2BSJA8cOMBTp075a%2BfOnePevXsrmjvQP7FevXqFlStXIvLZh4PxeBz5fD7IMSQEp0%2BfxubNm7Fx40b/vUKhgFKphNraWv89x3H885DP5%2BE4jr%2BWSCS%2BeG2%2BQvmgUJaWx48fY3BwcMbzxWIR6G%2BQ1atX4/Xr1zO%2BnpDP5xGPx4McQwI2MjKCsbExuK6LNWvW4Pbt29i/fz8uX76MaDSKiYkJ/1rP8/zz4DgOxsbG/nctHo9XtDZvFf1h9gU6OjrY29tLkrxy5Yoe0peg9vZ2Dg0NkSQ7OzuZy%2BVIknfv3p3xkJ7L5fyH9BcvXrCuro6Tk5Mkyd7eXmazWZbLZU5OTtJxHD569IgkeevWLWYyGb5//54fPnxgU1MTr127VtGsgQfy9OlTbtq0iel0ms3Nzf4PJUtHR0eH/5A%2BPj7OrVu30nVdZjIZDg8P%2B9e9e/eOu3btYjKZZGNjIwcGBvy1crnMrq4uNjQ0MJVK8cyZMzP2OHHiBBsaGphMJnn48OGKZ9VXTUQM%2BiRdxKBARAwKRMSgQEQMCkTEoEBEDApExKBARAwKRMSgQEQMCkTEoEBEDH8D0UQseSZMU34AAAAASUVORK5CYII%3D\">\n",
+       "\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives806169550977593703,#minihistogram806169550977593703\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives806169550977593703\">\n",
+       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
+       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles806169550977593703\"\n",
+       "                                                  aria-controls=\"quantiles806169550977593703\" role=\"tab\"\n",
+       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#histogram806169550977593703\" aria-controls=\"histogram806169550977593703\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#common806169550977593703\" aria-controls=\"common806169550977593703\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#extreme806169550977593703\" aria-controls=\"extreme806169550977593703\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
+       "\n",
+       "    </ul>\n",
+       "\n",
+       "    <div class=\"tab-content\">\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles806169550977593703\">\n",
+       "            <div class=\"col-md-4 col-md-offset-1\">\n",
+       "                <p class=\"h4\">Quantile statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Minimum</th>\n",
+       "                        <td>0.91772</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>5-th percentile</th>\n",
+       "                        <td>73.833</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q1</th>\n",
+       "                        <td>108.26</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Median</th>\n",
+       "                        <td>136.39</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q3</th>\n",
+       "                        <td>201.33</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>95-th percentile</th>\n",
+       "                        <td>638.25</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Maximum</th>\n",
+       "                        <td>35812</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Range</th>\n",
+       "                        <td>35811</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Interquartile range</th>\n",
+       "                        <td>93.065</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "            <div class=\"col-md-4 col-md-offset-2\">\n",
+       "                <p class=\"h4\">Descriptive statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Standard deviation</th>\n",
+       "                        <td>283.67</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Coef of variation</th>\n",
+       "                        <td>1.3026</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Kurtosis</th>\n",
+       "                        <td>1496</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Mean</th>\n",
+       "                        <td>217.78</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>MAD</th>\n",
+       "                        <td>140.25</td>\n",
+       "                    </tr>\n",
+       "                    <tr class=\"\">\n",
+       "                        <th>Skewness</th>\n",
+       "                        <td>18.321</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Sum</th>\n",
+       "                        <td>93158000</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Variance</th>\n",
+       "                        <td>80470</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Memory size</th>\n",
+       "                        <td>3.3 MiB</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram806169550977593703\">\n",
+       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtUVOe9PvBnhgEZB0QZvAxIbFSoQRNRkNOqUUogICouGxjFCNUYMRgElYMm5qInHqwoIlYDYktaKaJRUImxaoLVeCURgaM1RUMTEy4Tk5EGuQzX2b8/XOyfOwNemgECPp%2B1XIZ3P/v7vrPzh9%2B19%2BYdmSAIAoiIiIjIbOTdvQAiIiKi3oYNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmbLCIiIiIzIwNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMzYYBERERGZGRssIiIiIjPrsgYrPj4ecrkczzzzjGR84cKFkMvlJn/c3NzarZOeng43NzcolUq4urpix44d7eaqq6sRERGBQYMGwcbGBj4%2BPigqKmo3e%2BHCBUyePBkqlQoajQYxMTGoq6szyQmCgE2bNmH48OFQKpUYO3Ys9u3b94hXgoiIiHo7RVdMUlFRgd///vewsbFp97i1tTXS09MhCII4ZmdnZ5JLS0tDZGQkQkJCEBsbi7NnzyI6OhoGgwFxcXFiThAEBAYG4urVq1i1ahXUajVSUlLg7e2NwsJCjBgxQswWFxfD19cXbm5u2Lp1K8rLy7F582aUlpbi6NGjkvnXrFmDhIQELFmyBJ6ensjNzcW8efMgl8uh1Wp/6mUiIiKi3kLoAnPmzBF8fX0Fb29v4emnn5YcW7BggWBra/vAGgaDQXBwcBCCgoIk4/PnzxdsbW2FH374QRx7//33BZlMJhw8eFAc%2B/7774UBAwYIL774ouT8adOmCU5OTkJtba049qc//UmQy%2BXCxx9/LI5VVFQIVlZWQnR0tOT8KVOmCE888YRgNBof%2BBmIiIjo8dDpjwjPnDmDgwcPIjk5%2Bb45o9GImpqaDo%2BfOnUKVVVVWLp0qWT81VdfRW1treRuU05ODoYMGYLZs2eLYw4ODtBqtcjNzUVzczMAoKamBnl5eQgLC4NKpRKz4eHhUKlU2L9/vzh2%2BPBhtLS0IDIyUjJ/ZGQkysvLcfHixft%2BPiIiInp8dGqDZTQaER0djcWLF2P06NEd5urr69GvXz/Y2dlBrVYjKirK5B2otvenPDw8JOMeHh6Qy%2BWS96uKioowfvx4k3m8vLxQX1%2BPGzduAACuXr2KlpYWk5qWlpZwd3eX1CwuLoZKpcKoUaNMagqC0OH7XURERPT46dR3sFJTU/HNN9/g73//e4cZR0dHrFq1CuPHj4fRaMTx48eRkpKCK1eu4PTp05DL7/aAOp0OFhYWcHBwkJxvaWkJtVqNyspKcUyn02Hq1Kkmc2k0GgBAZWUlRo8eDZ1OB5lMJo7/OHvu3DlJzcGDB9%2B3JhERERHQiQ1WVVUV1q5di7fffhv29vYd5uLj4yU/a7VauLi44M0330R2drb48rjBYICVlVW7NaytrWEwGMSfDQYD%2BvTp025OEAQx2/Z3R9mHrXlvLSIiIqJOa7DeeOMN8XHfo1qxYgXeeust5OXliQ2WUqlEU1NTu/mGhgYolUrxZ6VSicbGxnZzMplMzLb93VH2YWveW6s9er0eJ06cwC9%2B8Yv75oiIiMh8DAYDbt68CX9/f5MnYJ2tUxqs0tJS/PGPf8S2bdtQUVEB4O7WCQ0NDWhubsbXX3%2BNfv36YcCAAe2eb21tDbVajaqqKnFMo9GgtbUVer1ecpGam5tx%2B/ZtODo6SrI6nc6kbttYW1aj0UAQhA6zP655%2BvTpB9Zsz4kTJzB//vwOjxMREVHnyczMxIsvvtilc3ZKg1VRUQFBEBAdHY1ly5aZHB8%2BfDhiYmKQlJTU7vm1tbXQ6/UYOHCgOObu7g5BEFBQUICAgABx/NKlSzAajXB3d5dk731/qk1%2Bfj769u0LV1dXAMCYMWOgUChQUFCA4OBgMdfc3Izi4mLMmTNHUjM9PR0lJSWSF93z8/Mhk8kk8//YL37xCwB3/wc/9dRTHeZ6kxUrVmDr1q3dvYwuw8/bu/Hz9m78vL3XP//5T8yfP1/8d7grdUqDNWbMGBw6dMhk/I033kBtbS3%2B8Ic/YPjw4WhsbERzc7PJBqTvvPMOAGDatGnimI%2BPD%2Bzt7ZGamippsFJTU6FSqTB9%2BnRxLDg4GDk5OTh48CB%2B%2B9vfArj7mC47OxtBQUGwtLQEAPTr1w%2B%2Bvr7IzMzEW2%2B9JW7VkJGRgbq6OsnmobNmzcKKFSuQkpKCP/zhD%2BL4zp074eTkhIkTJ3Z4PdoeCz711FPt/nZjb2RnZ/fYfFaAn7e34%2Bft3fh5e7/ueD2nUxostVqNoKAgk/GtW7dCJpNh5syZAICvv/4a48aNQ2hoqHhX6Pjx4zh27BgCAwMlNaytrbF%2B/XpERUVBq9XC398fZ86cQVZWFjZs2ID%2B/fuL2eDgYCQnJ2PhwoW4du0aHBwckJKSAqPRiHXr1knWFB8fj0mTJmHKlCmIiIhAWVkZkpKS4O/vDz8/PzHn5OSE5cuXIzExEU1NTZgwYQIOHTqE8%2BfPIysrCzKZzJyXkIiIiHqwLvmqnHvd24j0798fM2fORF5eHjIyMtDa2oqRI0di48aNiI2NNTk3MjISVlZW2LJlC44cOQJnZ2ckJyebPIaUy%2BU4duwY4uLisH37dhgMBnh5eSEjIwMuLi6S7Lhx45CXl4fVq1dj5cqVsLW1xeLFi7FhwwaT%2BRMSEmBvb4%2B0tDTs3r0bLi4u2LNnj%2BRRIhEREVGXNlinTp2S/GxnZ4fdu3c/Uo1FixZh0aJFD8zZ2dlh165d2LVr1wOzEydOxNmzZx9q/tWrV2P16tUPlSUiIqLHU6d/VQ49nkJDQ7t7CV2Kn7d34%2Bft3fh5qTPIBEEQunsRvV1hYSE8PDxw%2BfLlx%2B7FQiIiou7Snf/%2B8g4WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmXf5VOY%2BziIglsLW17e5lPNCbb76B5557rruXQURE1GOxwepCN6qMUBiM3b2M%2B6r95greffddNlhEREQ/ARusLjT0NwvRd8jI7l7GfZW%2B/3Z3L4GIiKjH4ztYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmbLCIiIiIzIwNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMy6rMGKj4%2BHXC7HM888Y3KspKQEAQEBsLW1hVqtRnh4OPR6fbt10tPT4ebmBqVSCVdXV%2BzYsaPdXHV1NSIiIjBo0CDY2NjAx8cHRUVF7WYvXLiAyZMnQ6VSQaPRICYmBnV1dSY5QRCwadMmDB8%2BHEqlEmPHjsW%2Bffse4SoQERHR46BLGqyKigr8/ve/h42NTbvHnn32WXz55ZfYuHEj4uLicPToUTz//PNoaWmRZNPS0rB48WI8/fTT2LFjByZOnIjo6Ghs3rxZkhMEAYGBgdi3b594/Pvvv4e3tzf%2B9a9/SbLFxcXw9fVFQ0MDtm7disWLF2PXrl3QarUma12zZg1ee%2B01%2BPv7Y8eOHRg2bBjmzZuH/fv3m%2BEqERERUW/RJV/2HBsbi1//%2BtdoaWnB7du3Jcfi4%2BNhMBhQXFwMJycnAMCECRPg5%2BeHv/zlL3j55ZcBAA0NDXjzzTcxc%2BZMvP/%2B%2BwCARYsWobW1FevXr0dERATs7OwAAAcOHMDFixeRk5OD2bNnAwBCQkLg6uqKtWvXIjMzU5x/zZo1sLe3xyeffAKVSgUAGDZsGCIiIpCXlwdfX18AQGVlJZKSkrBs2TJs27ZNnH/q1KmIi4tDSEgIZDJZZ11CIiIi6kE6/Q7WmTNncPDgQSQnJ7d7/ODBg5gxY4bYXAHAc889B1dXV8mdoVOnTqGqqgpLly6VnP/qq6%2BitrYWR48eFcdycnIwZMgQsbkCAAcHB2i1WuTm5qK5uRkAUFNTg7y8PISFhYnNFQCEh4dDpVJJ5j98%2BDBaWloQGRkpmT8yMhLl5eW4ePHio1wWIiIi6sU6tcEyGo2Ijo7G4sWLMXr0aJPjlZWV%2BO677%2BDp6WlyzMvLS/LOVNt/e3h4SHIeHh6Qy%2BUm2fHjx7dbs76%2BHjdu3AAAXL16FS0tLSY1LS0t4e7uLqlZXFwMlUqFUaNGmdQUBKHD97uIiIjo8dOpDVZqaiq%2B%2BeYbrF%2B/vt3jOp0OAKDRaEyOaTQaVFVViXebdDodLCws4ODgIMlZWlpCrVajsrJSUrejmgDErE6ng0wm6zD745qDBw9%2BYE0iIiKiTmuwqqqqsHbtWrz99tuwt7dvN2MwGAAAffr0MTlmbW0tyRgMBlhZWbVbx9raWsy1ZTuqKQiCpOb95n/YmvfWIiIiIuq0BuuNN96AWq1GVFRUhxmlUgkAaGxsNDnW0NAgySiVSjQ1NbVbp6GhQcy1ZTuqKZPJJDXvN//D1ry3FhEREVGn/BZhaWkp/vjHP2Lbtm2oqKgAcHfrhIaGBjQ3N%2BPrr79Gv379xMdrbY8K76XT6WBvbw9LS0sAdx/Ftba2Qq/XSx4TNjc34/bt23B0dBTHNBpNhzUBiFmNRgNBEDrM/rjm6dOnH1jzfso%2BToOFtUoyZu/mDfvR3g88l4iIiDq2d%2B9e7N27VzJWXV3dTavppAaroqICgiAgOjoay5YtMzk%2BfPhwxMTEICkpCQMHDkRBQYFJ5rPPPoO7u7v4s7u7OwRBQEFBAQICAsTxS5cuwWg0mmTPnTtnUjM/Px99%2B/aFq6srAGDMmDFQKBQoKChAcHCwmGtubkZxcTHmzJkjqZmeno6SkhLJi%2B75%2BfmQyWSS%2BTvi7LcEfYeMfGCOiIiIHk1oaChCQ0MlY4WFhSa/yNZVOuUR4ZgxY3Do0CEcOnQIhw8fFv%2BMHj0aw4YNw%2BHDh7Fo0SIAwAsvvIAPP/xQvNMFACdPnsSNGzckm336%2BPjA3t4eqampkrlSU1OhUqkwffp0cSw4OBi3bt3CwYMHxTG9Xo/s7GwEBQWJd8X69esHX19fZGZmSnZuz8jIQF1dnWT%2BWbNmQaFQICUlRTL/zp074eTkhIkTJ/6US0ZERES9SKfcwVKr1QgKCjIZ37p1K2QyGWbOnCmOrVmzBtnZ2fD29kZMTAxqamqQmJiIsWPHYsGCBWLO2toa69evR1RUFLRaLfz9/XHmzBlkZWVhw4YN6N%2B/v5gNDg5GcnIyFi5ciGvXrsHBwQEpKSkwGo1Yt26dZE3x8fGYNGkSpkyZgoiICJSVlSEpKQn%2B/v7w8/MTc05OTli%2BfDkSExPR1NSECRMm4NChQzh//jyysrK4ySgRERGJumQn93v9uBEZOnQoPvnkE6xcuRKvv/46rKysMGPGDCQmJop3mtpERkbCysoKW7ZswZEjR%2BDs7Izk5GSTx5ByuRzHjh1DXFwctm/fDoPBAC8vL2RkZMDFxUWSHTduHPLy8rB69WqsXLkStra2WLx4MTZs2GCy9oSEBNjb2yMtLQ27d%2B%2BGi4sL9uzZI3mUSERERCQTBEHo7kX0dm3PgJ96afvP/h2s0vffhs8zQyWPV4mIiHqitn9/L1%2B%2B3O4G5J2pS77smYiIiOhxwgaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmndZgff7559BqtRgxYgRUKhUGDhyIqVOn4sMPP5TkFi5cCLlcbvLHzc2t3brp6elwc3ODUqmEq6srduzY0W6uuroaERERGDRoEGxsbODj44OioqJ2sxcuXMDkyZOhUqmg0WgQExODuro6k5wgCNi0aROGDx8OpVKJsWPHYt%2B%2BfY94ZYiIiKi3U3RW4a%2B//hq1tbVYsGABHB0dUV9fj5ycHAQFBWHXrl14%2BeWXxay1tTXS09MhCII4ZmdnZ1IzLS0NkZGRCAkJQWxsLM6ePYvo6GgYDAbExcWJOUEQEBgYiKtXr2LVqlVQq9VISUmBt7c3CgsLMWLECDFbXFwMX19fuLm5YevWrSgvL8fmzZtRWlqKo0ePSuZfs2YNEhISsGTJEnh6eiI3Nxfz5s2DXC6HVqs15%2BUjIiKiHkwm3NvVdDJBEDB%2B/Hg0Njbi888/B3D3DlZOTg7u3Llz33MbGhrg7OyMiRMnIjc3VxwPCwtDbm4uysrKxKZs//79mDt3LnJycjB79mwAgF6vh6urKwIDA5GZmSmeHxgYiCtXruD69etQqVQA7t4li4iIwIkTJ%2BDr6wsAqKysxJNPPolXXnkF27ZtE8%2BfOnUqbt68iZs3b0Imk7W79sLCQnh4eOCpl7aj75CRj3rZulTp%2B2/D55mhOHjwYHcvhYiI6Cdp%2B/f38uXLGD9%2BfJfO3aXvYMlkMjg7O%2BOHH34wOWY0GlFTU9PhuadOnUJVVRWWLl0qGX/11VdRW1sruduUk5ODIUOGiM0VADg4OECr1SI3NxfNzc0AgJqaGuTl5SEsLExsrgAgPDwcKpUK%2B/fvF8cOHz6MlpYWREZGSuaPjIxEeXk5Ll68%2BJBXgYiIiHq7Tm%2Bw6uvrcfv2bXz55ZfYunUrjh07Jt4VujfTr18/2NnZQa1WIyoqyuQdqLb3pzw8PCTjHh4ekMvlkverioqK2u1Uvby8UF9fjxs3bgAArl69ipaWFpOalpaWcHd3l9QsLi6GSqXCqFGjTGoKgtDh%2B11ERET0%2BOm0d7DaxMbGIi0tDQAgl8vxwgsvYPv27eJxR0dHrFq1CuPHj4fRaMTx48eRkpKCK1eu4PTp05DL7/aAOp0OFhYWcHBwkNS3tLSEWq1GZWWlOKbT6TB16lSTtWg0GgB3H/eNHj0aOp0OMplMHP9x9ty5c5KagwcPvm9NIiIiIqALGqwVK1YgJCQElZWV2L9/P1pbW9HY2Cgej4%2BPl%2BS1Wi1cXFzw5ptvIjs7W3x53GAwwMrKqt05rK2tYTAYxJ8NBgP69OnTbk4QBDHb9ndH2YeteW8tIiIiok5/ROjq6gofHx/Mnz8fH3zwAWpqahAUFHTfc1asWAGZTIa8vDxxTKlUoqmpqd18Q0MDlEqlJHtvE3dvTiaTidm2vzvKPmzNe2sRERERdfodrB8LDg7GK6%2B8gi%2B%2B%2BAIuLi7tZqytraFWq1FVVSWOaTQatLa2Qq/XSx4TNjc34/bt23B0dJRkdTqdSd22sbasRqOBIAgdZn9c8/Tp0w%2BseT9lH6fBwlolGbN384b9aO8HnktEREQd27t3L/bu3SsZq66u7qbVdEOD1fYo7X4fura2Fnq9HgMHDhTH3N3dIQgCCgoKEBAQII5funQJRqMR7u7ukuy970%2B1yc/PR9%2B%2BfeHq6goAGDNmDBQKBQoKChAcHCzmmpubUVxcjDlz5khqpqeno6SkRPKie35%2BPmQymWT%2Bjjj7LfnZb9NARETUE4WGhiI0NFQy1rZNQ3fotEeE33//vclYS0sLdu/eDaVSCTc3NzQ2NqK2ttYk98477wAApk2bJo75%2BPjA3t4eqampkmxqaipUKhWmT58ujgUHB%2BPWrVuSvZz0ej2ys7MRFBQES0tLAEC/fv3g6%2BuLzMxMyW8tZmRkoK6uTrJ56KxZs6BQKJCSkiKZf%2BfOnXBycsLEiRMf6roQERFR79dpd7CWLFmCO3fuYMqUKXBycsK3336LPXv24Pr160hKSkLfvn3x9ddfY9y4cQgNDRXvCh0/fhzHjh1DYGCg5F0ta2trrF%2B/HlFRUdBqtfD398eZM2eQlZWFDRs2oH///mI2ODgYycnJWLhwIa5duwYHBwekpKTAaDRi3bp1knXGx8dj0qRJmDJlCiIiIlBWVoakpCT4%2B/vDz89PzDk5OWH58uVITExEU1MTJkyYgEOHDuH8%2BfPIysrqcJNRIiIievx0WoM1d%2B5cpKenY%2BfOnbh9%2BzZsbW3h4eGBzZs3i3eb%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%2BHAolUqMHTsW%2B/bte4SrQkRERI%2BDTmuwvv76a9TW1mLBggX4wx/%2BgLfffhsymQxBQUH405/%2BJOYqKirw7LPP4ssvv8TGjRsRFxeHo0eP4vnnn0dLS4ukZlpaGhYvXoynn34aO3bswMSJExEdHY3NmzdLcoIgIDAwEPv27ROPf//99/D29sa//vUvSba4uBi%2Bvr5oaGjA1q1bsXjxYuzatQtardbkM61ZswavvfYa/P39sWPHDgwbNgzz5s3D/v37zXjliIiIqKeTCYIgdNVkgiBg/PjxaGxsxOeffw4AWLp0KTIyMnD9%2BnU4OTkBAE6ePAk/Pz/s2rULL7/8MgCgoaEBzs7OmDhxInJzc8WaYWFhyM3NRVlZGezs7AAA%2B/fvx9y5c5GTk4PZs2cDAPR6PVxdXREYGIjMzEzx/MDAQFy5cgXXr1%2BHSqUCcPcuWUREBE6cOAFfX18AQGVlJZ588km88sor2LZtm3j%2B1KlTcfPmTdy8eRMymazdz11YWAgPDw889dJ29B0y0izXsrOUvv82fJ4ZioMHD3b3UoiIiH6Stn9/L1%2B%2BjPHjx3fp3F36DpZMJoOzszN%2B%2BOEHcezgwYOYMWOG2FwBwHPPPQdXV1fJnaFTp06hqqoKS5culdR89dVXUVtbi6NHj4pjOTk5GDJkiNhcAYCDgwO0Wi1yc3PR3NwMAKipqUFeXh7CwsLE5goAwsPDoVKpJPMfPnwYLS0tiIyMlMwfGRmJ8vJyXLx48T%2B9LERERNTLdHqDVV9fj9u3b%2BPLL7/E1q1bcezYMcldoe%2B%2B%2Bw6enp4m53l5eUnemWr7bw8PD0nOw8MDcrncJNtep%2Brl5YX6%2BnrcuHEDAHD16lW0tLSY1LS0tIS7u7ukZnFxMVQqFUaNGmVSUxCEDt/vIiIiosdPpzdYsbGxGDhwIEaOHIm4uDj89re/xfbt2wEAOp0OAKDRaEzO02g0qKqqEu826XQ6WFhYwMHBQZKztLSEWq1GZWWlOKbT6TqsCUDM6nQ6yGSyDrM/rjl48OAH1iQiIiJSdPYEK1asQEhICCorK7F//360traisbERAGAwGAAAffr0MTnP2tpazFhaWsJgMMDKyqrdOaytrcVabed0VFMQBDH7oPkftua9tYiIiIg6/Q6Wq6srfHx8MH/%2BfHzwwQeoqalBUFAQAECpVAKA2HDdq6GhQZJRKpVoampqd46GhgYx15btqKZMJpPUvN/8D1vz3lpEREREnX4H68eCg4Pxyiuv4IsvvhAfr7U9KryXTqeDvb09LC0tAdx9FNfa2gq9Xi95TNjc3Izbt2/D0dFRHNNoNB3WBCBmNRoNBEHoMPvjmqdPn35gzfsp%2BzgNFtYqyZi9mzfsR3s/8FwiIiLq2N69e7F3717JWHV1dTetphsarLZHadXV1XBxccHAgQNRUFBgkvvss8/g7u4u/uzu7g5BEFBQUICAgABx/NKlSzAajSbZc%2BfOmdTMz89H37594erqCgAYM2YMFAoFCgoKEBwcLOaam5tRXFyMOXPmSGqmp6ejpKRE8qJ7fn4%2BZDKZZP6OOPst%2Bdlv00BERNQThYaGIjQ0VDLWtk1Dd%2Bi0R4Tff/%2B9yVhLSwt2794NpVIJNzc3AMALL7yADz/8EBUVFWLu5MmTuHHjhmSzTx8fH9jb2yM1NVVSMzU1FSqVCtOnTxfHgoODcevWLcleTnq9HtnZ2QgKChLvivXr1w%2B%2Bvr7IzMyU7NyekZGBuro6yfyzZs2CQqFASkqKZP6dO3fCyckJEydOfKTrQ0RERL1Xp93BWrJkCe7cuYMpU6bAyckJ3377Lfbs2YPr168jKSkJffv2BXB3d/Ts7Gx4e3sjJiYGNTU1SExMxNixY7FgwQKxnrW1NdavX4%2BoqChotVr4%2B/vjzJkzyMrKwoYNG9C/f38xGxwcjOTkZCxcuBDXrl2Dg4MDUlJSYDQasW7dOsk64%2BPjMWnSJEyZMgUREREoKytDUlIS/P394efnJ%2BacnJywfPlyJCYmoqmpCRMmTMChQ4dw/vx5ZGVldbjJKBERET1%2BOq3Bmjt3LtLT07Fz507cvn0btra28PDwwObNmyV3m4YOHYpPPvkEK1euxOuvvw4rKyvMmDEDiYmJ4p2mNpGRkbCyssKWLVtw5MgRODs7Izk5GcuWLZPk5HI5jh07hri4OGzfvh0GgwE3LXQtAAAgAElEQVReXl7IyMiAi4uLJDtu3Djk5eVh9erVWLlyJWxtbbF48WJs2LDB5DMlJCTA3t4eaWlp2L17N1xcXLBnzx7Jo0QiIiKiLv2qnMcVvyqHiIio6z02X5VDRERE9Dhgg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM5DNnzsT%2B/fvR2NjY3WshIiIi6hXkn3/%2BOebOnYvBgwdj0aJFOH36dHeviYiIiKhHk//rX//C%2BfPn8eKLL%2BLIkSN47rnn8MQTT%2BD111/HP/7xj%2B5eHxEREVGPIweAX//613j33Xeh0%2BnwwQcfYNKkSdi%2BfTvGjh0Ld3d3JCUlQafTdfdaiYiIiHoEyUvuFhYWmD59Ovbu3Yvy8nIEBwfjypUriIuLwxNPPIGAgACcOHGiu9ZKRERE1COY/BZhfn4%2BoqKi4OrqigMHDuCpp55CfHw8Nm7ciLKyMgQGBuJ//ud/umOtRERERD2CAgBu3LiBzMxMZGVl4auvvoKDgwNCQ0MRFhYGT09PMRwbG4tFixZh%2B/btWLt2bbctmoiIiOjnTOHp6YmioiJYWVlhxowZ2Lp1K6ZNmwaFQtHuCb6%2Bvvjzn//cxcskIiIi6jkU1tbWSElJwZw5c9C/f/8HnhAUFIQvvviiC5ZGRERE1DMpzp0790gnqFQqjBgxopOWQ0RERNTzyYuLi5GWltZhYNeuXbhy5UoXLomIiIioZ5OvWbMGx44d6zBw4sQJvPHGG124JCIiIqKeTV5QUIApU6Z0GHj22Wdx6dKlLlwSERERUc8mr6mpgZWVVYcBCwsLVFdXd%2BGSiIiIiHo2uYuLCz7%2B%2BOMOAx999BGefPLJRy5cUFCAqKgojBkzBjY2Nhg2bBjmzJlj8huICxcuhFwuN/nj5ubWbt309HS4ublBqVTC1dUVO3bsaDdXXV2NiIgIDBo0CDY2NvDx8UFRUVG72QsXLmDy5MlQqVTQaDSIiYlBXV2dSU4QBGzatAnDhw%2BHUqnE2LFjsW/fvke8MkRERNTbKRYuXIjY2FisWrUKb731FmxtbQEAd%2B7cwfr16/G3v/0NCQkJj1w4ISEBFy5cQEhICJ555hl8%2B%2B232L59O8aPH49PP/1U0kBZW1sjPT0dgiCIY3Z2diY109LSEBkZiZCQEMTGxuLs2bOIjo6GwWBAXFycmBMEAYGBgbh69SpWrVoFtVqNlJQUeHt7o7CwUPJbkMXFxfD19YWbmxu2bt2K8vJybN68GaWlpTh69Khk/jVr1iAhIQFLliyBp6cncnNzMW/ePMjlcmi12ke%2BRkRERNQ7yYxGoxAeHo49e/ZAoVBg6NChAIDy8nK0tLQgNDQUmZmZkMlkj1Q4Pz8fnp6ekg1LS0tL8fTTTyMkJAQZGRkA7t7BysnJwZ07d%2B5br6GhAc7Ozpg4cSJyc3PF8bCwMOTm5qKsrExsyvbv34%2B5c%2BciJycHs2fPBgDo9Xq4uroiMDAQmZmZ4vmBgYG4cuUKrl%2B/DpVKBeDuXbKIiAicOHECvr6%2BAIDKyko8%2BeSTeOWVV7Bt2zbx/KlTp%2BLmzZu4efNmh9eosLAQHh4eeOql7eg7ZORDX8PuUPr%2B2/B5ZigOHjzY3UshIiL6Sdr%2B/b18%2BTLGjx/fpXPLZTIZ/vrXv%2BLEiRN46aWXMHLkSIwcORKLFi3CRx99hD179jxycwUAv/rVr0x2gx85ciRGjx6Nf/7znyZ5o9GImpqaDuudOnUKVVVVWLp0qWT81VdfRW1treRuU05ODoYMGSI2VwDg4OAArVaL3NxcNDc3AwBqamqQl5eHsLAwsbkCgPDwcKhUKuzfv18cO3z4MFpaWhAZGSmZPzIyEuXl5bh48eL9LgcRERE9RsQve/bz88POnTvx0Ucf4aOPPkJqaqp498acbt26BQcHB8lYfX09%2BvXrBzs7O6jVakRFRZm8A9X2/pSHh4dk3MPDA3K5XPJ%2BVVFRUbudqpeXF%2Brr63Hjxg0AwNWrV9HS0mJS09LSEu7u7pKaxcXFUKlUGDVqlElNQRA6fL%2BLiIiIHj/yB0fMJzMzExUVFZg7d6445ujoiFWrVuEvf/kL9u3bh1mzZiElJQXTpk2D0WgUczqdDhYWFibNmaWlJdRqNSorKyVZjUZjMn/bWFtWp9NBJpN1mP1xzcGDBz%2BwJhEREZECuPvOUXp6Or788kv8%2B9//lrxsDgAymQyNjY0/aaKSkhJERUVh0qRJCA8PF8fj4%2BMlOa1WCxcXF7z55pvIzs4WXx43GAwdbidhbW0Ng8Eg/mwwGNCnT592c4IgiNm2vzvKPmzNe2sRERERKV577TVs3rwZTz/9NIKDgzFgwACzT3Lr1i1Mnz4dAwYMwIEDBx74TteKFSvw1ltvIS8vT2ywlEolmpqa2s03NDRAqVSKPyuVynYbwoaGBshkMjHb9ndH2YeteW8tIiIiIsV7772H2bNnIzs7u1MmuHPnDgICAnDnzh2cO3cOQ4YMeeA51tbWUKvVqKqqEsc0Gg1aW1uh1%2Bsljwmbm5tx%2B/ZtODo6SrI6nc6kbttYW1aj0UAQhA6zP655%2BvTpB9a8n7KP02BhrZKM2bt5w3609wPPJSIioo7t3bsXe/fulYx150bpCoPBgOeff75Tijc2NmLGjBkoLS3FyZMn8ctf/vKhzqutrYVer8fAgQPFMXd3dwiCgIKCAgQEBIjjly5dgtFohLu7uyR77tw5k7r5%2Bfno27cvXF1dAQBjxoyBQqFAQUEBgoODxVxzczOKi4sxZ84cSc309HSUlJRIXnTPz8%2BHTCaTzN8RZ78lP/ttGoiIiHqi0NBQhIaGSsbatmnoDvLf/OY3uHz5stkLG41GaLVafPrpp8jOzoaXl5dJprGxEbW1tSbj77zzDgBg2rRp4piPjw/s7e2RmpoqyaampkKlUmH69OniWHBwMG7duiXZy0mv1yM7OxtBQUGwtLQEAPTr1w%2B%2Bvr7IzMyU/NZiRkYG6urqJJuHzpo1CwqFAikpKZL5d%2B7cCScnJ0ycOPGhrgsRERH1foqUlBQ8//zz2LRpEyIiItC/f3%2BzFF65ciWOHDmCoKAg6PV67NmzR3L8xRdfxLfffotx48YhNDRUvCt0/PhxHDt2DIGBgQgKChLz1tbWWL9%2BPaKioqDVauHv748zZ84gKysLGzZskKw7ODgYycnJWLhwIa5duwYHBwekpKTAaDRi3bp1knXEx8dj0qRJmDJlCiIiIlBWVoakpCT4%2B/vDz89PzDk5OWH58uVITExEU1MTJkyYgEOHDuH8%2BfPIysr6j/YKIyIiot5J1r9/f6GlpQX19fUAABsbG1hYWEhDMhlu3779SIV/85vf4MyZMx0eb21tRXV1NaKjo5Gfn4/Kykq0trZi5MiRmD9/PmJjY03WAdz9jcctW7bgq6%2B%2BgrOzM5YtW4Zly5aZ5KqrqxEXF4fDhw/DYDDAy8sLiYmJGDdunEn2woULWL16NQoLC2Fra4s5c%2BZgw4YNks1H2yQkJCAtLQ06nQ4uLi5Ys2aNZNuJ9nAndyIioq7XnTu5y1588UXhYe6%2B/PWvf%2B2C5fRObLCIiIi6Xnc2WIp7v5ePiIiIiH66Lt3JnYiIiOhxIAeA8vJyREVFYfTo0Rg4cCDOnj0L4O5v3q1cuRLFxcXdukgiIiKinkRRUlKCZ599Fs3NzZgwYQJKSkrQ3NwMAHBwcMCpU6dw584d/OlPf%2BrmpRIRERH1DIpVq1bBxsYG%2Bfn5sLCwwKBBgySB6dOn48CBA920PCIiIqKeR/7JJ59g6dKlGDx4cLt7OQ0bNgwVFRXdsDQiIiKinkne2tra7n5PbfR6vbjzORERERE9mHzcuHE4fvx4uwdbW1uxb98%2B/Nd//VcXL4uIiIio55K/9tprOHr0KJYtW4aSkhIAd%2B9anT59GgEBAfj888/x2muvdfMyiYiIiHoOxfTp05Geno7ly5eLX2Tc9m3UNjY2eO%2B99%2BDt7d2NSyQiIiLqWRQAsGDBArzwwgs4fvw4SktLYTQaMWLECEybNg12dnbdvUYiIiKiHkXR9h%2B2trYICQnpzrUQERER9QqKysrKhwo6Ojp28lKIiIiIegfF0KFD293/6sdaW1u7YDlEREREPZ9i165dJg1Wa2srbt68ib/%2B9a/QaDRYsmRJNy2PiIiIqOdRvPzyyx0eXLNmDby8vNDQ0NCFSyIiIiLq2eT3O2hjY4OXXnoJW7Zs6ar1EBEREfV4922w2uh0us5eBxEREVGvoejoQH19Pc6cOYPExES4u7t35ZqIiIiIejSFpaVlu79F2NraCkEQ4OTkhHfffbcblkZERETUMylWr15t0mDJZDIMGDBA3M3d0tKym5ZHRERE1PMo/vd//7e710BERETUqzzUS%2B7/iYKCAkRFRWHMmDGwsbHBsGHDMGfOHHzxxRcm2ZKSEgQEBMDW1hZqtRrh4eHQ6/Xt1k1PT4ebmxuUSiVcXV2xY8eOdnPV1dWIiIjAoEGDYGNjAx8fHxQVFbWbvXDhAiZPngyVSgWNRoOYmBjU1dWZ5ARBwKZNmzB8%2BHAolUqMHTsW%2B/bte4SrQkRERI8DRURExCOfJJPJkJaWdt9MQkICLly4gJCQEDzzzDP49ttvsX37dowfPx6ffvop3NzcAAAVFRV49tlnMWDAAGzcuBE1NTXYvHkz/vGPf%2BCzzz6DQvH/38NPS0tDZGQkQkJCEBsbi7NnzyI6OhoGgwFxcXFiThAEBAYG4urVq1i1ahXUajVSUlLg7e2NwsJCjBgxQswWFxfD19cXbm5u2Lp1K8rLy7F582aUlpbi6NGjks%2B0Zs0aJCQkYMmSJfD09ERubi7mzZsHuVwOrVb7yNeRiIiIeifZ0KFDBYPBgKqqKgB3v/QZAGpqagAA9vb2UCqV0pNkMnzzzTf3LZyfnw9PT09Jg1RaWoqnn34aISEhyMjIAAAsXboUGRkZuH79OpycnAAAJ0%2BehJ%2BfH3bt2oW2jVAbGhrg7OyMiRMnIjc3V6wZFhaG3NxclJWVwc7ODgCwf/9%2BzJ07Fzk5OZg9ezYAQK/Xw9XVFYGBgcjMzBTPDwwMxJUrV3D9%2BnWoVCoAd%2B%2BSRURE4MSJE/D19QUAVFZW4sknn8Qrr7yCbdu2iedPnToVN2/exM2bNzv8yqHCwkJ4eHjgqZe2o%2B%2BQkfe9bt2t9P234fPMUBw8eLC7l0JERPSTtP37e/nyZYwfP75L55Z//PHH6Nu3L1atWoXKykpUV1ejuroalZWViIuLg0qlQl5eHsrKysQ/D2quAOBXv/qVpLkCgJEjR2L06NH45z//KY4dPHgQM2bMEJsrAHjuuefg6uqK/fv3i2OnTp1CVVUVli5dKqn56quvora2VnK3KScnB0OGDBGbKwBwcHCAVqtFbm4umpubAdxtIvPy8hAWFiY2VwAQHh4OlUolmf/w4cNoaWlBZGSkZP7IyEiUl5fj4sWLD7wmRERE9HiQR0VFwc/PDxs3bsSQIUPEA0OGDEFCQgJ8fX0RFRVltglv3boFBwcHAHfvCn333Xfw9PQ0yXl5eUnemWr7bw8PD0nOw8MDcrncJNtep%2Brl5YX6%2BnrcuHEDAHD16lW0tLSY1LS0tIS7u7ukZnFxMVQqFUaNGmVSUxCEDt/vIiIiosePvO1RXkc8PT3NdncmMzMTFRUVmDt3LoD/v0O8RqMxyWo0GlRVVYl3m3Q6HSwsLMTmrI2lpSXUajUqKyvFMZ1O12FNAGJWp9NBJpN1mP1xzcGDBz%2BwJhEREZG8f//%2BOHHiRIeBY8eOie82/RQlJSWIiorCpEmTEB4eDgAwGAwAgD59%2Bpjkra2tJRmDwQArK6t2a1tbW4u5tmxHNQVBkNS83/wPW/PeWkRERETyiIgIfPDBB3jhhRdw%2BvRplJeXo7y8HKdOncJvf/tbHD16FEuWLPlJk9y6dQvTp0/HgAEDcODAAfFl8LaX5xsbG03OaWhokGSUSiWamprard/Q0CB5EV%2BpVHZYUyaTSWreb/6HrXlvLSIiIiLFW2%2B9BYPBgC1btuDw4cOSgxYWFvjv//5vvP322//xBHfu3EFAQADu3LmDc%2BfOSd7zanu81t6XSet0Otjb24u7yGs0GrS2tkKv10seEzY3N%2BP27dtwdHSU1O2oJgAxq9FoIAhCh9kf1zx9%2BvQDa95P2cdpsLBWScbs3bxhP9r7gecSERFRx/bu3Yu9e/dKxqqrq7tpNYBCJpPh97//PVasWIETJ06IvyE4bNgw%2BPn5tfve0cNqbGzEjBkzUFpaipMnT%2BKXv/yl5LijoyMGDhyIgoICk3M/%2B%2BwzyZdMu7u7QxAEFBQUICAgQBy/dOkSjEajSfbcuXMmNfPz89G3b1%2B4uroCAMaMGQOFQoGCggIEBweLuebmZhQXF2POnDmSmunp6SgpKZG86J6fnw%2BZTPZQX4jt7LfkZ79NAxERUU8UGhqK0NBQyVjbNg3dQdzJfdCgQQgLC8Mbb7yBN954A/Pnz/9JzZXRaIRWq8Wnn36K7OxseHl5tZt74YUX8OGHH6KiokIcO3nyJG7cuCHZvNPHxwf29vZITU2VnJ%2BamgqVSoXp06eLY8HBwbh165ZkLye9Xo/s7GwEBQWJd8X69esHX19fZGZmSnZuz8jIQF1dnWT%2BWbNmQaFQICUlRTL/zp074eTkhIkTJz7K5SEiIqJeTAHcbYYOHjyIU6dO4bvvvsPatWsxZswY3LlzB6dPn8avfvUrDBo06JEKr1y5EkeOHEFQUBD0ej327NkjOf7iiy8CuLs7enZ2Nry9vRETE4OamhokJiZi7NixWLBggZi3trbG%2BvXrERUVBa1WC39/f5w5cwZZWVnYsGED%2BvfvL2aDg4ORnJyMhQsX4tq1a3BwcEBKSgqMRiPWrVsnWUd8fDwmTZqEKVOmICIiAmVlZUhKSoK/vz/8/PzEnJOTE5YvX47ExEQ0NTVhwoQJOHToEM6fP4%2BsrKwONxklIiKix4/izp07mDZtGi5evAilUomGhgZxM82%2BffsiMjISCxYsQHx8/CMV/r//%2Bz/IZDIcOXIER44cMTne1mANHToUn3zyCVauXInXX38dVlZWmDFjBhITE8U7TW0iIyNhZWWFLVu24MiRI3B2dkZycjKWLVsmycnlchw7dgxxcXHYvn07DAYDvLy8kJGRARcXF0l23LhxyMvLw%2BrVq7Fy5UrY2tpi8eLF2LBhg8maExISYG9vj7S0NOzevRsuLi7Ys2eP5FEiERERkSwyMlLIyMjAgQMH4OnpicGDByMvLw8%2BPj4AgJiYGJw5c4Ybaf4E/KocIiKirtetX5Vz6NAhLFu2DNOmTYNcLjcJuLq64ubNm126KCIiIqKeTP7vf/8bw4cP7zDQ0tIi7qZORERERA8mHzFixH0f/%2BXl5eGpp57qwiURERER9WzyRYsW4b333kNOTo44KJPJ0NzcjLVr1%2BJvf/sbIiIiunGJRERERD2LYsWKFbh69SpCQkKgVqsBAGFhYdDr9WhqasKiRYuwePHibl4mERERUc%2BhkMlk%2BPOf/4zf/e53yM7OxhdffAGj0YgRI0ZAq9WKv01IRERERA9H8be//Q1PPPEEvL294e3t3d3rISIiIurx5LNnz8bZs2e7ex1EREREvYZ85MiRqKqq6u51EBEREfUa8tdeew3vvvsuSktLu3stRERERL2CoqioCAMGDICbmxuee%2B45/OIXv4BSqZSEZDIZtmzZ0k1LJCIiIupZFMnJyeIPJ06caDfEBouIiIjo4Sn4NThERERE5qWwsLDo7jUQERER9SpyALh9%2BzYsLCzw97//vbvXQ0RERNTjydv%2BQxCE7lwHERERUa8hf3CEiIiIiB4FGywiIiIiM1MUFhaiuroaAPDFF1%2Bgf//%2B7QbHjx/flesiIiIi6rEUEyZMEH9YunSpSUAQBMhkMrS2tnbluoiIiIh6LMV7773X3WsgIiIi6lXkv/vd7/Awf/4TdXV1WLt2LaZNmwa1Wg25XI6MjAyT3MKFCyGXy03%2BuLm5tVs3PT0dbm5uUCqVcHV1xY4dO9rNVVdXIyIiAoMGDYKNjQ18fHxQVFTUbvbChQuYPHkyVCoVNBoNYmJiUFdXZ5ITBAGbNm3C8OHDoVQqMXbsWOzbt%2B8RrgoRERH1dorOLK7X67F%2B/XoMGzYM7u7uOH36dIdZa2trpKenS7aLsLOzM8mlpaUhMjISISEhiI2NxdmzZxEdHQ2DwYC4uDgxJwgCAgMDcfXqVaxatQpqtRopKSnw9vZGYWEhRowYIWaLi4vh6%2BsLNzc3bN26FeXl5di8eTNKS0tx9OhRyfxr1qxBQkIClixZAk9PT%2BTm5mLevHmQy%2BXQarU/4WoRERFRb9GpDZajoyO%2B/fZbDBo0CJcvX8a973uZLEShQGho6H3rNTQ04M0338TMmTPx/vvvAwAWLVqE1tZWrF%2B/HhEREWJTduDAAVy8eBE5OTmYPXs2ACAkJASurq5Yu3YtMjMzxbpr1qyBvb09PvnkE6hUKgDAsGHDEBERgby8PPj6%2BgIAKisrkZSUhGXLlmHbtm3i/FOnTkVcXBxCQkIgk8n%2Bw6tFREREvUWnbtNgaWmJQYMGPXTeaDSipqamw%2BOnTp1CVVWVycv4r776KmprayV3m3JycjBkyBCxuQIABwcHaLVa5Obmou07GGtqapCXl4ewsDCxuQKA8PBwqFQq7N%2B/Xxw7fPgwWlpaEBkZKZk/MjIS5eXluHjx4kN/ViIiIuq9fjb7YNXX16Nfv36ws7ODWq1GVFSUyTtQbe9PeXh4SMY9PDwgl8sl71cVFRW1u7WEl5cX6uvrcePGDQDA1atX0dLSYlLT0tIS7u7ukprFxcVQqVQYNWqUSU1BEDp8v4uIiIgeLz%2BLBsvR0RGrVq3CX/7yF%2Bzbtw%2BzZs1CSkoKpk2bBqPRKOZ0Oh0sLCzg4OAgOd/S0hJqtRqVlZWSrEajMZmrbawtq9PpIJPJOsz%2BuObgwYMfWJOIiIgeb536DtbDio%2BPl/ys1Wrh4uKCN998E9nZ2eLL4waDAVZWVu3WsLa2hsFgEH82GAzo06dPuzlBEMRs298dZR%2B25r21iIiI6PH2s7iD1Z4VK1ZAJpMhLy9PHFMqlWhqamo339DQAKVSKck2Nja2m5PJZGK27e%2BOsg9b895aRERE9Hj7WdzBao%2B1tTXUajWqqqrEMY1Gg9bWVuj1esljwubmZty%2BfRuOjo6SrE6nM6nbNtaW1Wg0EAShw%2ByPa7a31cSPa3ak7OM0WFirJGP2bt6wH%2B193/OIiIjo/vbu3Yu9e/dKxtq%2BCrA7/GwbrNraWuj1egwcOFAcc3d3hyAIKCgoQEBAgDh%2B6dIlGI1GuLu7S7Lnzp0zqZufn4%2B%2BffvC1dUVADBmzBgoFAoUFBQgODhYzDU3N6O4uBhz5syR1ExPT0dJSYnkRff8/HzIZDLJ/O1x9luCvkNGPsJVICIioocRGhpqst1TYWGhyS%2BxdZVuf0TY2NiI2tpak/F33nkHADBt2jRxzMfHB/b29khNTZVkU1NToVKpMH36dHEsODgYt27dwsGDB8UxvV6P7OxsBAUFwdLSEgDQr18/%2BPr6IjMzU/JbixkZGairq5NsHjpr1iwoFAqkpKRI5t%2B5cyecnJwwceLE/%2BQSEBERUS/T6Xew3n33Xfzwww%2BoqKgAAHzwwQcoKysDAERHR6Oqqgrjxo1DaGioeFfo%2BPHjOHbsGAIDAxEUFCTWsra2xvr16xEVFQWtVgt/f3%2BcOXMGWVlZ2LBhA/r37y9mg4ODkZycjIULF%2BLatWtwcHBASkoKjEYj1q1bJ1ljfHw8Jk2ahClTpiAiIgJlZWVISkqCv78//Pz8xJyTkxOWL1%2BOxMRENDU1YcKECTh06BDOnz%2BPrKwsbjJKREREAACZcO9303SCJ598Et988027x7766ivY2dkhOjoa%2Bfn5qKysRGtrK0aOHIn58%2BcjNjYWFhYWJuelp6djy5Yt%2BOqrr%2BDs7Ixly5Zh2bJlJrnq6mrExcXh8OHDMBgM8PLyQmJiIsaNG2eSvXDhAlavXo3CwkLY2tpizpw52LBhg2Tz0TYJCQlIS0uDTqeDi4sL1qxZg7lz53Z4DdpuUT710vaf/SPC0vffhs8zQyV3/oiIiHqitn9/L1%2B%2B3O7emJ2p0xssYoNFRETUHbqzwer2d7CIiIiIehs2WERERERmxgaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmndpg1dXVYe3atZg2bRrUajXkcjkyMjLazZaUlCAgIAC2trZQq9UIDw%2BHXq9vN5ueng43NzcolUq4urpix44d7eaqq6sRERGBQYMGwcbGBj4%2BPigqKmo3e%2BHCBUyePBkqlQoajQYxMTGoq6szyQmCgE2bNmH48OFQKpUYO3Ys9u3b95BXhIiIiB4Hndpg6fV6rF%2B/HiUlJXB3d4dMJms3V1FRgWf/X3t3HxVlmf4B/PuMzDjDDJgDqAO5Wuq0Gtkkyvq2xiEQX0iPyUu2Sfor6FiKZQdNe7ENMdvI98VMPet6UKPUTVPrbHjM1rcQiY5aLmlpArMokgo4Awj3749%2BPD8eZ1BcB%2BfF7%2BecOUfu55r7ua/nQr18nuH2j3/ETz/9hEWLFiEjIwO7du3CyJEjce3aNUXs6tWrkZqaioceeggrV67E0KFDkZ6ejvfee08RJ4TAmDFj8NFHH8nHL1y4gKioKJw%2BfVoRW1xcjJiYGNjtdixZsgSpqan48MMPkZSU5LDWefPm4dVXX0VcXBxWrlyJHj164KmnnsLHH398m1eLiIiIfIVfe%2B6KdWoAABuWSURBVE4eGhqK//znP%2BjSpQuOHj2KQYMGOY3LysqCzWZDcXExwsLCAACDBg1CbGws1q9fj%2Beeew4AYLfb8frrr%2BPxxx9HXl4eAODZZ59FY2MjMjMzkZaWhk6dOgEAPvnkExw6dAhbt27FhAkTAACJiYkwm82YP38%2BcnNz5fPPmzcPRqMR%2B/btg16vBwD06NEDaWlpyM/PR0xMDACgvLwcixcvxowZM7Bs2TL5/I8%2B%2BigyMjKQmJjYahNJREREd492vYOlVqvRpUuXm8Zt27YN8fHxcnMFAI899hjMZrPiztDevXtRVVWFF154QfH%2BF198ETU1Ndi1a5c8tnXrVnTr1k1urgAgODgYSUlJ2L59OxoaGgAA1dXVyM/Px%2BTJk%2BXmCgBSUlKg1%2BsV5//0009x7do1TJs2TXH%2BadOmobS0FIcOHbpprkREROT73P4h9/Lycpw/fx4DBw50OBYZGan4zFTzryMiIhRxERERUKlUDrEDBgxwOufVq1dRUlICADh27BiuXbvmMKdarYbFYlHMWVxcDL1ej9///vcOcwohWv18FxEREd1d3N5gWa1WAIDJZHI4ZjKZUFVVJd9tslqt6NChA4KDgxVxarUaQUFBKC8vV8zb2pwA5Fir1QpJklqNvX7Orl273nROIiIiuru5vcGy2WwAgI4dOzoc02q1ihibzQaNRuN0Hq1WK8c1x7Y2pxBCMeeNzt/WOVvORURERHc3tzdYOp0OAFBXV%2BdwzG63K2J0Oh3q6%2BudzmO32%2BW45tjW5pQkSTHnjc7f1jlbzkVERER3t3b9KcK2aH681vyosCWr1Qqj0Qi1Wi3HNjY2orKyUvGYsKGhARcvXkRoaKhi3tbmBCDHmkwmCCFajb1%2Bzq%2B%2B%2Buqmc7bm3Jer0UGrV4wZ%2B0XB%2BGDUDd9HREREN7Z582Zs3rxZMXb58mU3rcYDGqzQ0FCEhISgsLDQ4VhBQQEsFov8tcVigRAChYWFGDVqlDx%2B5MgRNDU1OcTu37/fYc7Dhw/D398fZrMZABAeHg4/Pz8UFhYiISFBjmtoaEBxcTGSk5MVc65btw4nT55UfND98OHDkCRJcX5nusc%2BD/9uvW8YQ0RERLdu0qRJmDRpkmKsqKjI4YfY7hS3PyIEgIkTJ2Lnzp0oKyuTx/bs2YOSkhLFZp/R0dEwGo1YtWqV4v2rVq2CXq/H2LFj5bGEhARUVFRg27Zt8lhlZSW2bNmCcePGyXfFAgMDERMTg9zcXMXO7Rs2bEBtba3i/OPHj4efnx9ycnIU5//ggw8QFhaGoUOH3uaVICIiIl/Q7new/vrXv%2BLSpUty87Rjxw6cO3cOAJCeno6AgADMmzcPW7ZsQVRUFGbOnInq6mpkZ2fj4YcfxpQpU%2BS5tFotMjMzMX36dCQlJSEuLg5ff/01Nm3ahIULF%2BKee%2B6RYxMSErB06VJMnToVJ06cQHBwMHJyctDU1IS33npLscasrCwMGzYMI0aMQFpaGs6dO4fFixcjLi4OsbGxclxYWBheeuklZGdno76%2BHoMGDcI//vEPHDhwAJs2beImo0RERAQAkIQQoj1PcN999%2BGXX35xeuznn3/G7373OwDADz/8gFmzZmH//v3QaDSIj49HdnY2QkJCHN63bt06vP/%2B%2B/j555/RvXt3zJgxAzNmzHCIu3z5MjIyMvDpp5/CZrMhMjIS2dnZeOSRRxxiDx48iDlz5qCoqAgBAQFITk7GwoULFZuPNnv33XexevVqWK1W9OnTB/PmzcOTTz7Z6jVovkXZ939WePwjwlN5byK6/72KO39ERETeqPnv36NHjzrdG7M9tXuDRWywiIiI3MGdDZZHfAaLiIiIyJewwSIiIiJyMTZYRERERC7GBouIiIjIxdhgEREREbkYGywiIiIiF2ODRURERORibLCIiIiIXIwNFhEREZGLscEiIiIicjE2WEREREQuxgaLiIiIyMXYYBERERG5GBssIiIiIhdjg0VERETkYmywiIiIiFyMDRYRERGRi7HBIiIiInIxNlhERERELsYGi4iIiMjF2GARERERuZhHNFj79u2DSqVyeHXo0AEFBQWK2JMnT2LUqFEICAhAUFAQUlJSUFlZ6XTedevWoV%2B/ftDpdDCbzVi5cqXTuMuXLyMtLQ1dunSBwWBAdHQ0vv32W6exBw8exPDhw6HX62EymTBz5kzU1tbe3gUgIiIin%2BLn7gW09NJLL2HgwIGKsd69e8u/Lisrwx//%2BEd07twZixYtQnV1Nd577z0cP34cBQUF8PP7/3RWr16NadOmITExEa%2B88gr%2B9a9/IT09HTabDRkZGXKcEAJjxozBsWPHMHv2bAQFBSEnJwdRUVEoKipCr1695Nji4mLExMSgX79%2BWLJkCUpLS/Hee%2B/h1KlT2LVrVzteGSIiIvImHtVgDR8%2BHE888USrx7OysmCz2VBcXIywsDAAwKBBgxAbG4v169fjueeeAwDY7Xa8/vrrePzxx5GXlwcAePbZZ9HY2IjMzEykpaWhU6dOAIBPPvkEhw4dwtatWzFhwgQAQGJiIsxmM%2BbPn4/c3Fz5/PPmzYPRaMS%2Bffug1%2BsBAD169EBaWhry8/MRExPj%2BotCREREXscjHhG2VFNTg8bGRqfHtm3bhvj4eLm5AoDHHnsMZrMZH3/8sTy2d%2B9eVFVV4YUXXlC8/8UXX0RNTY3ibtPWrVvRrVs3ubkCgODgYCQlJWH79u1oaGgAAFRXVyM/Px%2BTJ0%2BWmysASElJgV6vV5yfiIiI7m4e1WBNnToVgYGB0Gq1iI6OxtGjR%2BVj5eXlOH/%2BvMMjRACIjIxUfGaq%2BdcRERGKuIiICKhUKofYAQMGOJ3z6tWrKCkpAQAcO3YM165dc5hTrVbDYrG0%2BpktIiIiuvt4RIOl0WiQkJCAZcuWYceOHcjKysLx48cxYsQIfPfddwAAq9UKADCZTA7vN5lMqKqqku82Wa1WdOjQAcHBwYo4tVqNoKAglJeXy2NWq7XVOQHIsVarFZIktRrbck4iIiK6u3nEZ7CGDBmCIUOGyF/Hx8dj4sSJ6N%2B/P%2BbOnYvdu3fDZrMBADp27Ojwfq1WCwCw2WxQq9Ww2WzQaDROz6XVauW5mt/T2pxCCDn2ZudvOScRERHd3TziDpYzvXr1wvjx47F3714IIaDT6QAAdXV1DrF2ux0A5BidTof6%2Bnqn89rtdjmuOba1OSVJUsx5o/O3nJOIiIjubh5xB6s13bt3R319PWpra%2BVHc82PCluyWq0wGo1Qq9UAfntk19jYiMrKSsVjwoaGBly8eBGhoaHymMlkanVOAHKsyWSCEKLV2JZztubcl6vRQatXjBn7RcH4YNRN30tERESt27x5MzZv3qwYu3z5sptW4%2BEN1unTp6HVamEwGGAwGBASEoLCwkKHuIKCAlgsFvlri8UCIQQKCwsxatQoefzIkSNoampyiN2/f7/DnIcPH4a/vz/MZjMAIDw8HH5%2BfigsLERCQoIc19DQgOLiYiQnJ980n%2B6xz8O/W%2B%2BbxhEREdGtmTRpEiZNmqQYKyoqcvjhtDvFIx4ROtuJ/bvvvsNnn32GuLg4eWzixInYuXMnysrK5LE9e/agpKQESUlJ8lh0dDSMRiNWrVqlmHPVqlXQ6/UYO3asPJaQkICKigps27ZNsZ4tW7Zg3Lhx8l2xwMBAxMTEIDc3V7Fz%2B4YNG1BbW6s4PxEREd3dPOIOVnJyMnQ6HYYOHYouXbrgxIkTWLNmDQwGA9555x05bt68ediyZQuioqIwc%2BZMVFdXIzs7Gw8//DCmTJkix2m1WmRmZmL69OlISkpCXFwcvv76a2zatAkLFy7EPffcI8cmJCRg6dKlmDp1Kk6cOIHg4GDk5OSgqakJb731lmKdWVlZGDZsGEaMGIG0tDScO3cOixcvRlxcHGJjY9v7MhEREZGX8IgGa8KECdi4cSOWLFmCK1euICQkBAkJCXjzzTdx//33y3H33nsv9u3bh1mzZmHu3LnQaDSIj49Hdna2fKep2bRp06DRaPD%2B%2B%2B/js88%2BQ/fu3bF06VLMmDFDEadSqfD5558jIyMDK1asgM1mQ2RkJDZs2IA%2BffooYh955BHk5%2Bdjzpw5mDVrFgICApCamoqFCxe238UhIiIiryMJIYS7F%2BHrmp8B9/2fFR7/GaxTeW8iuv%2B9ikemRERE3qj579%2BjR4863VS8PXnEZ7CIiIiIfAkbLCIiIiIXY4NFRERE5GJssIiIiIhcjA0WERERkYuxwSIiIiJyMTZYRERERC7GBouIiIjIxdhgEREREbkYGywiIiIiF2ODRURERORibLCIiIiIXIwNFhEREZGLscEiIiIicjE2WEREREQuxgaLiIiIyMXYYBERERG5GBssIiIiIhdjg0VERETkYmywiIiIiFyMDRYRERGRi7HBIiIiInIxNli3qL6%2BHnPmzEFYWBj8/f0xePBg5Ofnu3tZRERE5EHYYN2iZ555BkuXLsXkyZOxfPly%2BPn5YcyYMTh48KC7l0ZEREQegg3WLSgoKEBeXh4WLVqERYsW4bnnnsOePXvQo0cPzJ49293L8yibN2929xLuKObr25ivb2O%2B1B7YYN2CLVu2wM/PD6mpqfJYx44d8eyzz%2BLQoUMoKytz4%2Bo8y932G5j5%2Bjbm69uYL7UHNli3oLi4GGazGQaDQTEeGRkpHyciIiJig3ULrFYrTCaTw7jJZIIQAuXl5W5YFREREXkaNli3wGazoWPHjg7jWq1WPk5ERETk5%2B4FeBOdToe6ujqHcbvdLh93prnxOrNrKTponMd4CtuFM6joqsbGjRtva57S0tLbnqMtVCoVmpqa2v08N9OWfD1lrW1xs7Xeqfq2xZ24rq7K11u%2BB0pLS7F582avWCtw%2B9f1Tn4/e8L3QFvzDQ4ORkhIyB1YUfv54YcfALjpBoigNouNjRUPPvigw/iePXuEJEli586dTt%2BXm5srAPDFF1988cUXX2545ebmtneL4IB3sG6BxWLBV199hZqaGsUH3Q8fPgxJkmCxWJy%2BLy4uDrm5uejZs2erd7mIiIjItWw2G86cOYO4uLg7fm5JCCHu%2BFm9VEFBAQYPHozs7GzMmjULwG87u4eHhyMkJAQHDhxw8wqJiIjIE/AO1i2IjIxEYmIi5s6di4qKCvTu3Rvr16/H2bNn8be//c3dyyMiIiIPwTtYt6i%2Bvh5vvPEGcnNz8euvv6J///5YsGABYmJi3L00IiIi8hBssIiIiIhcjPtgEREREbkYG6x2VF9fjzlz5iAsLAz%2B/v4YPHgw8vPz3b0sp/bt2weVSuXw6tChAwoKChSxJ0%2BexKhRoxAQEICgoCCkpKSgsrLS6bzr1q1Dv379oNPpYDabsXLlSqdxly9fRlpaGrp06QKDwYDo6Gh8%2B%2B23LsmttrYW8%2BfPx%2BjRoxEUFASVSoUNGzY4jXV3bgcPHsTw4cOh1%2BthMpkwc%2BZM1NbWtku%2BU6dOdVrzfv36eVW%2BhYWFmD59OsLDw2EwGNCjRw8kJyfjxx9/dIj1hfq2NV9fqe/333%2BPpKQk9OrVC3q9HiEhIXj00Uexc%2BdOh1hfqG9b8/WV%2Bl4vKysLKpUK/fv3dzjmdfW94xtD3EWefPJJodFoxJw5c8SaNWvEsGHDhFqtFgcOHHD30hx89dVXQpIk8fLLL4uNGzcqXhcvXpTjSktLRXBwsOjTp49YuXKleOedd4TRaBSPPPKIaGhoUMz5wQcfCEmSRFJSkli7dq145plnhCRJ4i9/%2BYsirqmpSQwdOlQEBASIzMxMkZOTI8LDw0VgYKA4derUbed25swZIUmS6Nmzp4iOjhYqlUr8/e9/d4hzd27ffvut0Ol0IiIiQqxevVq88cYbQqvVijFjxrRLvlOmTBE6nU5s2rRJUW9n%2B7l5cr4JCQkiNDRUzJw5U6xbt05kZWWJbt26CYPBIE6cOCHH%2BUp925qvr9R39%2B7dYvTo0eLtt98Wa9euFcuXLxePPvqokCRJrFmzRo7zlfq2NV9fqW9LpaWlQq/Xi4CAAPHQQw85HPO2%2BrLBaifffPONkCRJLF68WB6z2%2B2id%2B/eYtiwYW5cmXPNDdbWrVtvGDdt2jSh1%2BtFaWmpPJafn%2B/wm99ms4ng4GAxbtw4xfuffvppERAQIC5duiSP5eXlCUmSxLZt2%2BSxCxcuiM6dO4s//elPt5uaqK%2BvFxUVFUIIIQoLC4UkSU4bDnfnNnr0aBEWFiZqamrksbVr1wqVSiW%2B/PJLl%2Bc7ZcoUERAQcNP5PD3fQ4cOOfwB%2B%2BOPPwqtVismT54sj/lKfduar6/U15mmpiZhsVhE37595TFfqW9b8/XF%2BiYnJ4uYmBgRFRXl0GB5Y33ZYLWTjIwMoVarRXV1tWL8nXfeESqVSvFN4glaNljV1dXi2rVrTuO6du0qkpOTHcYfeOABERsbK3%2B9e/duoVKpxBdffKGIO3TokJAkSWzcuFEeS0pKEiaTyWHO559/XhgMBlFfX//fpuXgRg2HO3O7cuWKUKvV4tVXX1XE1dfXi4CAAJGamnprif6ftjRYjY2N4sqVK63O4U35thQRESEGDhwof%2B2L9W3p%2Bnx9vb6PP/64Yi2%2BXt/r8/W1%2Bu7bt0%2Bo1Wpx/Phxpw2WN9aXn8FqJ8XFxTCbzYod34Hf9tJqPu6Jpk6disDAQGi1WkRHR%2BPo0aPysfLycpw/fx4DBw50eF9kZKTiuXXzryMiIhRxERERUKlUDrEDBgxwOufVq1dRUlJy23ndjLtzO3bsGK5du%2BYwp1qthsVicdnn0a539epVBAYGolOnTggKCsL06dMdPlPgrflWVFQgODgYwN1R35b5NvOl%2Bl69ehUXL17ETz/9hCVLluDzzz%2BXt8fxxfreKN%2BWMb5Q36amJqSnpyM1NRUPPvigw3FvrS8brHZitVphMpkcxk0mE4QQKC8vd8OqWqfRaJCQkIBly5Zhx44dyMrKwvHjxzFixAh89913AH7LCUCreVVVVaGhoUGO7dChg8Mf%2BGq1GkFBQYr8b3StANyRa%2BXu3KxWKyRJajW2Pa5BaGgoZs%2BejfXr1%2BOjjz7C%2BPHjkZOTg9GjRyv%2BM1pvzDc3NxdlZWV48skn5fO1XMf15/P2%2Bl6fL%2BB79X3llVcQEhKC3r17IyMjA0888QRWrFghn6/lOq4/nzfW90b5Ar5V31WrVuGXX35BZmam0%2BPeWl/u5N5ObDYbOnbs6DCu1Wrl455kyJAhGDJkiPx1fHw8Jk6ciP79%2B2Pu3LnYvXu3vOab5aVWq2Gz2aDRaJyeS6vVKvK/0bUSQtyRa%2BXu3G52/va4BllZWYqvk5KS0KdPH7z%2B%2BuvYsmULkpKS5LV5U74nT57E9OnTMWzYMKSkpLTpfM0x3lhfZ/kCvlffl19%2BGYmJiSgvL8fHH3%2BMxsZG1NXVtel8zTHeVN8b5Qv4Tn2rqqowf/58vPnmmzAajU5jvLW%2BvIPVTnQ6neI3QzO73S4f93S9evXC%2BPHjsXfvXggh5DW3JS%2BdTof6%2Bnqn89rtdkX%2BN7pWkiTdkWvl7txudv479f3y8ssvQ5IkxXYi3pRvRUUFxo4di86dO%2BOTTz6BJEltOl/LGF/ItzXeXF%2Bz2Yzo6Gg8/fTT2LFjB6qrqzFu3Lg2na9ljC/k2xpvrO9rr70mP95sjbfWlw1WOzGZTPJtzZaax0JDQ%2B/0kv4r3bt3R319PWpra%2BXbo63lZTQaoVarAfyWf2Njo8MeJQ0NDbh48aIif0%2B4Vu7OrfnRcWuxd%2Br7RavVIigoCFVVVfKYt%2BR75coVjBo1CleuXMEXX3yBbt26KdbVch3Xn88b63ujfFvjzfW9XkJCAo4cOYIff/zRJ%2Bt7vZb5tsbb6nvq1CmsWbMG6enpKCsrw9mzZ3HmzBnY7XY0NDTg7Nmz%2BPXXX722vmyw2onFYkFJSQlqamoU44cPH4YkSbBYLG5a2a05ffo0tFotDAYDQkNDERISgsLCQoe4goICRU4WiwVCCIfYI0eOoKmpySG2qKjIYc7Dhw/D398fZrPZhRk55%2B7cwsPD4efn5zBnQ0MDiouL79j3S01NDSorKxESEiKPeUO%2BdXV1iI%2BPx6lTp7Br1y488MADiuO%2BVt%2Bb5dsab62vM82PZS5fvuxz9XWmZb6t8bb6lpWVQQiB9PR03Hfffbjvvvtw//3345tvvsG///1v3H///cjMzPTe%2Bjr92UK6bc37YL3//vvyWF1dnejTp48YOnSoG1fm3IULFxzGiouLhUajERMmTJDHbrQXyYcffiiP2Ww2ERQU5HQvEoPBIH799Vd5LC8vT6hUKsUeXM17kTz11FMuya/Zf7sP1p3I7Ub7rPzzn/90ab52u91hCxEhftteRKVSie3bt3tNvo2NjWLcuHFCo9E4/Gh2S75S37bk60v1PX/%2BvMNYQ0ODGDBggNDr9aK2tlYI4Tv1bUu%2BvlLfyspKsX37dodXeHi46Nmzp9ixY4c4fvy4EMI768sGqx0lJSUJjUYjZs%2BeLT788EMxdOhQodFoxP79%2B929NAfR0dFi7NixIisrS6xZs0a89NJLQq/XC6PRKE6ePCnHnTt3ToSEhIjevXuLFStWiIULFwqj0SgsFovDflU5OTlCpVKJxMREsXbtWpGSkiJUKpVYtGiRIq6xsVEMGTJEBAYGirffflveTbdTp06ipKTEJfmtXLlSLFiwQEybNk1IkiQmTpwoFixYIBYsWCDvIePu3IqKioROpxMDBgwQH3zwgXjttdeETqcTo0ePdnm%2BZ86cEZ07dxYvvPCCWL58uVi%2BfLkYM2aMkCRJjB071mE%2BT8535syZQpIkMX78eJGbm%2BvwauYr9W1Lvr5U3wkTJojHHntM/PnPfxZr164VCxYsEH379hUqlUosXbpUjvOV%2BrYlX1%2BqrzPO9sHyxvqywWpHdXV1Yvbs2SI0NFTodDrxhz/84bZ39G0vK1asEIMHDxbBwcFCo9GIsLAw8cwzz4jTp087xH7//fdi1KhRwmAwCKPRKFJSUpz%2Bq0uI3zr8vn37Cq1WK/r06SOWL1/uNO7SpUsiNTVVhISECIPBIKKjo0VRUZHL8uvZs6dQqVROX2fPnvWY3A4cOCCGDx8u/P39RdeuXUV6erriX0yuyvfSpUsiJSVFmM1mYTAYhE6nEw899JB49913W91k1lPzjYqKajVXlUqliPWF%2BrYlX1%2Bqb15enhg5cqQwmUxCo9GIoKAgMXLkSKf/JYwv1Lct%2BfpSfZ2JiooS/fv3dxj3tvpKQgjRpoelRERERNQm/JA7ERERkYuxwSIiIiJyMTZYRERERC7GBouIiIjIxdhgEREREbkYGywiIiIiF2ODRURERORibLCIiIiIXIwNFhEREZGLscEiIiIicjE2WEREREQuxgaLiIiIyMXYYBERERG5GBssIiIiIhdjg0VERETkYmywiIiIiFyMDRYRERGRi7HBIiIiInIxNlhERERELva/NIhIXQBqS3YAAAAASUVORK5CYII%3D\"/>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common806169550977593703\">\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">471.868874235</td>\n",
+       "        <td class=\"number\">813</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">460.304871281</td>\n",
+       "        <td class=\"number\">617</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">296.948295556</td>\n",
+       "        <td class=\"number\">614</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">390.504218471</td>\n",
+       "        <td class=\"number\">576</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">331.066387482</td>\n",
+       "        <td class=\"number\">575</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1748.67337568</td>\n",
+       "        <td class=\"number\">555</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">436.966941352</td>\n",
+       "        <td class=\"number\">510</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">509.561366785</td>\n",
+       "        <td class=\"number\">491</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">417.379786354</td>\n",
+       "        <td class=\"number\">483</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">309.048565584</td>\n",
+       "        <td class=\"number\">466</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (364348)</td>\n",
+       "        <td class=\"number\">422062</td>\n",
+       "        <td class=\"number\">98.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme806169550977593703\">\n",
+       "            <p class=\"h4\">Minimum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.917715827599</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.94046824086</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.94047461101</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.940487793721</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.940488255092</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "            <p class=\"h4\">Maximum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">12569.9607542</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">16203.4842604</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">28170.1078201</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">35493.8039942</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">35811.8034194</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>Shape_Leng</code></s><br/>\n",
+       "            <small>Highly correlated</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is highly correlated with <code>Shape_Le_1</code> and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Correlation</th>\n",
+       "            <td>1</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">TAX_ADD_L2<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>54604</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>12.8%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.4%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>1691</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable1130930309275275561\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>MAPLE GROVE MN   55311</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 2.4%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        10095\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>EDEN PRAIRIE MN   55347</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 2.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        9201\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>MAPLE GROVE MN   55369</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 2.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        8965\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (54600)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 93.0%\">\n",
+       "            397810\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable1130930309275275561, #minifreqtable1130930309275275561\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable1130930309275275561\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MAPLE GROVE MN   55311</td>\n",
+       "        <td class=\"number\">10095</td>\n",
+       "        <td class=\"number\">2.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">EDEN PRAIRIE MN   55347</td>\n",
+       "        <td class=\"number\">9201</td>\n",
+       "        <td class=\"number\">2.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MAPLE GROVE MN   55369</td>\n",
+       "        <td class=\"number\">8965</td>\n",
+       "        <td class=\"number\">2.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">BROOKLYN PARK MN   55443</td>\n",
+       "        <td class=\"number\">8220</td>\n",
+       "        <td class=\"number\">1.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">RICHFIELD MN   55423</td>\n",
+       "        <td class=\"number\">8215</td>\n",
+       "        <td class=\"number\">1.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MINNETONKA MN   55345</td>\n",
+       "        <td class=\"number\">7750</td>\n",
+       "        <td class=\"number\">1.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">CHAMPLIN MN   55316</td>\n",
+       "        <td class=\"number\">6747</td>\n",
+       "        <td class=\"number\">1.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PLYMOUTH MN   55447</td>\n",
+       "        <td class=\"number\">6671</td>\n",
+       "        <td class=\"number\">1.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MINNEAPOLIS MN   55406</td>\n",
+       "        <td class=\"number\">6488</td>\n",
+       "        <td class=\"number\">1.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">BLOOMINGTON MN   55431</td>\n",
+       "        <td class=\"number\">6302</td>\n",
+       "        <td class=\"number\">1.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (54593)</td>\n",
+       "        <td class=\"number\">347417</td>\n",
+       "        <td class=\"number\">81.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">TAX_ADD_L3<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>3193</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>5.1%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>85.5%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>365597</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable3707982712908646806\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>MINNEAPOLIS MN   55401</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.8%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        3593\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>MAPLE GROVE MN   55311</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.4%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1784\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>EDEN PRAIRIE MN   55347</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.4%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1514\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (3189)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:15%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 12.9%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        55274\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 85.5%\">\n",
+       "            365597\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable3707982712908646806, #minifreqtable3707982712908646806\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable3707982712908646806\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MINNEAPOLIS MN   55401</td>\n",
+       "        <td class=\"number\">3593</td>\n",
+       "        <td class=\"number\">0.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MAPLE GROVE MN   55311</td>\n",
+       "        <td class=\"number\">1784</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">EDEN PRAIRIE MN   55347</td>\n",
+       "        <td class=\"number\">1514</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MINNEAPOLIS MN   55419</td>\n",
+       "        <td class=\"number\">1412</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MINNEAPOLIS MN   55406</td>\n",
+       "        <td class=\"number\">1323</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PLYMOUTH MN   55446</td>\n",
+       "        <td class=\"number\">1268</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">RICHFIELD MN   55423</td>\n",
+       "        <td class=\"number\">1261</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">BROOKLYN PARK MN   55443</td>\n",
+       "        <td class=\"number\">1174</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MAPLE GROVE MN   55369</td>\n",
+       "        <td class=\"number\">1098</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MINNEAPOLIS MN   55417</td>\n",
+       "        <td class=\"number\">1088</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (3182)</td>\n",
+       "        <td class=\"number\">46650</td>\n",
+       "        <td class=\"number\">10.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">365597</td>\n",
+       "        <td class=\"number\">85.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>TAX_CAPAC</code></s><br/>\n",
+       "            <small>Highly correlated</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is highly correlated with <code>EMV_TOTAL</code> and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Correlation</th>\n",
+       "            <td>0.9882</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">TAX_EXEMPT<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>2</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable334993915492083960\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>N</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 95.8%\">\n",
+       "            409906\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Y</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:5%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 4.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        17856\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable334993915492083960, #minifreqtable334993915492083960\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable334993915492083960\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">N</td>\n",
+       "        <td class=\"number\">409906</td>\n",
+       "        <td class=\"number\">95.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Y</td>\n",
+       "        <td class=\"number\">17856</td>\n",
+       "        <td class=\"number\">4.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">TORRENS<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>3</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable8079531474157900754\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>A</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 54.2%\">\n",
+       "            231844\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>T</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:80%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 43.6%\">\n",
+       "            186652\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>B</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 2.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        9266\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable8079531474157900754, #minifreqtable8079531474157900754\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable8079531474157900754\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">A</td>\n",
+       "        <td class=\"number\">231844</td>\n",
+       "        <td class=\"number\">54.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">T</td>\n",
+       "        <td class=\"number\">186652</td>\n",
+       "        <td class=\"number\">43.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:80%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">B</td>\n",
+       "        <td class=\"number\">9266</td>\n",
+       "        <td class=\"number\">2.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>TOTAL_TAX</code></s><br/>\n",
+       "            <small>Highly correlated</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is highly correlated with <code>TAX_CAPAC</code> and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Correlation</th>\n",
+       "            <td>0.99701</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">UNIT_INFO<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>6850</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>13.3%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>88.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>376292</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-8459340778191412380\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>2</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        600\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>1</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        599\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>3</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        551\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (6846)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 11.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        49720\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 88.0%\">\n",
+       "            376292\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-8459340778191412380, #minifreqtable-8459340778191412380\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-8459340778191412380\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2</td>\n",
+       "        <td class=\"number\">600</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1</td>\n",
+       "        <td class=\"number\">599</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">3</td>\n",
+       "        <td class=\"number\">551</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">201</td>\n",
+       "        <td class=\"number\">548</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">101</td>\n",
+       "        <td class=\"number\">542</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">202</td>\n",
+       "        <td class=\"number\">533</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">4</td>\n",
+       "        <td class=\"number\">532</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">102</td>\n",
+       "        <td class=\"number\">519</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">203</td>\n",
+       "        <td class=\"number\">460</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">204</td>\n",
+       "        <td class=\"number\">454</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (6839)</td>\n",
+       "        <td class=\"number\">46132</td>\n",
+       "        <td class=\"number\">10.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">376292</td>\n",
+       "        <td class=\"number\">88.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">USE1_DESC<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>46</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.3%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>1425</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable5143787837238532731\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Residential</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 62.0%\">\n",
+       "            265117\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Condominium</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:17%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 10.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        43396\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Townhouse</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:10%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 5.8%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        24692\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (42)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:35%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 21.8%\">\n",
+       "            93132\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable5143787837238532731, #minifreqtable5143787837238532731\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable5143787837238532731\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Residential</td>\n",
+       "        <td class=\"number\">265117</td>\n",
+       "        <td class=\"number\">62.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Condominium</td>\n",
+       "        <td class=\"number\">43396</td>\n",
+       "        <td class=\"number\">10.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Townhouse</td>\n",
+       "        <td class=\"number\">24692</td>\n",
+       "        <td class=\"number\">5.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Residential</td>\n",
+       "        <td class=\"number\">13989</td>\n",
+       "        <td class=\"number\">3.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Double Bungalow</td>\n",
+       "        <td class=\"number\">12737</td>\n",
+       "        <td class=\"number\">3.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Condo Garage/Miscellaneous</td>\n",
+       "        <td class=\"number\">12330</td>\n",
+       "        <td class=\"number\">2.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Commercial</td>\n",
+       "        <td class=\"number\">10642</td>\n",
+       "        <td class=\"number\">2.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Residential Lakeshore</td>\n",
+       "        <td class=\"number\">7775</td>\n",
+       "        <td class=\"number\">1.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Commercial</td>\n",
+       "        <td class=\"number\">6569</td>\n",
+       "        <td class=\"number\">1.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Apartment</td>\n",
+       "        <td class=\"number\">4694</td>\n",
+       "        <td class=\"number\">1.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (35)</td>\n",
+       "        <td class=\"number\">24396</td>\n",
+       "        <td class=\"number\">5.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">USE2_DESC<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>35</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.8%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>99.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>423364</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-4057679146782102627\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Commercial</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1019\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Farm</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        763\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Vacant Land - Residential</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        578\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (31)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.5%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2038\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 99.0%\">\n",
+       "            423364\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-4057679146782102627, #minifreqtable-4057679146782102627\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-4057679146782102627\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Commercial</td>\n",
+       "        <td class=\"number\">1019</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Farm</td>\n",
+       "        <td class=\"number\">763</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Residential</td>\n",
+       "        <td class=\"number\">578</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Commercial</td>\n",
+       "        <td class=\"number\">332</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Residential</td>\n",
+       "        <td class=\"number\">309</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Apartment</td>\n",
+       "        <td class=\"number\">302</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Rural Farm</td>\n",
+       "        <td class=\"number\">213</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Rural Residential</td>\n",
+       "        <td class=\"number\">200</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Agricultural Preserve</td>\n",
+       "        <td class=\"number\">170</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Industrial</td>\n",
+       "        <td class=\"number\">108</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (24)</td>\n",
+       "        <td class=\"number\">404</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">423364</td>\n",
+       "        <td class=\"number\">99.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">USE3_DESC<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>19</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>2.5%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>99.8%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>427010</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-1261748925423789660\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Vacant Land - Rural Farm</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        218\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Farm</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        167\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Vacant Land - Rural Residential</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        104\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (15)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        263\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 99.8%\">\n",
+       "            427010\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-1261748925423789660, #minifreqtable-1261748925423789660\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1261748925423789660\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Rural Farm</td>\n",
+       "        <td class=\"number\">218</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Farm</td>\n",
+       "        <td class=\"number\">167</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Rural Residential</td>\n",
+       "        <td class=\"number\">104</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Residential</td>\n",
+       "        <td class=\"number\">71</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Commercial</td>\n",
+       "        <td class=\"number\">71</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Agricultural Preserve</td>\n",
+       "        <td class=\"number\">64</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Commercial</td>\n",
+       "        <td class=\"number\">23</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Residential</td>\n",
+       "        <td class=\"number\">9</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Industrial</td>\n",
+       "        <td class=\"number\">6</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Apartment</td>\n",
+       "        <td class=\"number\">5</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (8)</td>\n",
+       "        <td class=\"number\">14</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">427010</td>\n",
+       "        <td class=\"number\">99.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">USE4_DESC<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>11</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>5.3%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>100.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>427555</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-5451412810961980506\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Vacant Land - Rural Farm</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        118\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Residential</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        39\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Vacant Land - Rural Residential</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        20\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (7)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        30\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 100.0%\">\n",
+       "            427555\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-5451412810961980506, #minifreqtable-5451412810961980506\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-5451412810961980506\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Rural Farm</td>\n",
+       "        <td class=\"number\">118</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Residential</td>\n",
+       "        <td class=\"number\">39</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Rural Residential</td>\n",
+       "        <td class=\"number\">20</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Farm</td>\n",
+       "        <td class=\"number\">12</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Commercial</td>\n",
+       "        <td class=\"number\">6</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Commercial</td>\n",
+       "        <td class=\"number\">6</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Agricultural Preserve</td>\n",
+       "        <td class=\"number\">3</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Vacant Land - Industrial</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Golf Course - Reduced Rate</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Farm-Hmstd (House & 1 Acre)</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">427555</td>\n",
+       "        <td class=\"number\">100.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">WSHD_DIST<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>9</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>18.1%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>77315</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-4057727845122572184\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Minnehaha Creek</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:95%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 26.4%\">\n",
+       "            113041\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Middle Mississippi</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:61%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 16.8%\">\n",
+       "            72064\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Shingle Creek</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:40%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 11.1%\">\n",
+       "            47481\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (5)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 27.6%\">\n",
+       "            117861\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:65%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 18.1%\">\n",
+       "            77315\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-4057727845122572184, #minifreqtable-4057727845122572184\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-4057727845122572184\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Minnehaha Creek</td>\n",
+       "        <td class=\"number\">113041</td>\n",
+       "        <td class=\"number\">26.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Middle Mississippi</td>\n",
+       "        <td class=\"number\">72064</td>\n",
+       "        <td class=\"number\">16.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:64%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Shingle Creek</td>\n",
+       "        <td class=\"number\">47481</td>\n",
+       "        <td class=\"number\">11.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:42%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Nine Mile Creek</td>\n",
+       "        <td class=\"number\">43197</td>\n",
+       "        <td class=\"number\">10.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Bassett Creek</td>\n",
+       "        <td class=\"number\">37304</td>\n",
+       "        <td class=\"number\">8.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:33%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Riley Purgatory Bluff</td>\n",
+       "        <td class=\"number\">27287</td>\n",
+       "        <td class=\"number\">6.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Lower Minnesota River</td>\n",
+       "        <td class=\"number\">9499</td>\n",
+       "        <td class=\"number\">2.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Rice Creek</td>\n",
+       "        <td class=\"number\">574</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">77315</td>\n",
+       "        <td class=\"number\">18.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:68%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">XUSE1_DESC<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>39</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.2%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>95.9%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>410121</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6638327996153333187\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>MUNICIPAL PROPERTY</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 1.9%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        7945\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>HIGHWAY RIGHT-OF-WAY</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2713\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>CHURCHES AND CHURCH PROPERTY</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1283\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (35)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 1.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        5700\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 95.9%\">\n",
+       "            410121\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6638327996153333187, #minifreqtable-6638327996153333187\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6638327996153333187\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MUNICIPAL PROPERTY</td>\n",
+       "        <td class=\"number\">7945</td>\n",
+       "        <td class=\"number\">1.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">HIGHWAY RIGHT-OF-WAY</td>\n",
+       "        <td class=\"number\">2713</td>\n",
+       "        <td class=\"number\">0.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">CHURCHES AND CHURCH PROPERTY</td>\n",
+       "        <td class=\"number\">1283</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">TAX FORFEIT</td>\n",
+       "        <td class=\"number\">1034</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">CHARITABLE INSTITUTIONS</td>\n",
+       "        <td class=\"number\">602</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">COUNTY PROPERTY</td>\n",
+       "        <td class=\"number\">587</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">SPECIAL TAXING DISTRICTS</td>\n",
+       "        <td class=\"number\">549</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PUBLIC K-12 SCHOOL PROPERTY</td>\n",
+       "        <td class=\"number\">405</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">HENNEPIN COUNTY REGIONAL RAIL AUTHORITY</td>\n",
+       "        <td class=\"number\">382</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">STATE PROPERTY</td>\n",
+       "        <td class=\"number\">283</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (28)</td>\n",
+       "        <td class=\"number\">1858</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">410121</td>\n",
+       "        <td class=\"number\">95.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">XUSE2_DESC<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>26</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>1.9%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>99.7%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>426421</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable5889913536923124433\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>WETLANDS</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1118\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>CHURCHES AND CHURCH PROPERTY</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        78\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>CHARITABLE INSTITUTIONS</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        49\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (22)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        96\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 99.7%\">\n",
+       "            426421\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable5889913536923124433, #minifreqtable5889913536923124433\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable5889913536923124433\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">WETLANDS</td>\n",
+       "        <td class=\"number\">1118</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">CHURCHES AND CHURCH PROPERTY</td>\n",
+       "        <td class=\"number\">78</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">CHARITABLE INSTITUTIONS</td>\n",
+       "        <td class=\"number\">49</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PUBLIC HOSPITALS</td>\n",
+       "        <td class=\"number\">25</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">HENNEPIN COUNTY REGIONAL RAIL AUTHORITY</td>\n",
+       "        <td class=\"number\">17</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">HRA PROPERTY \"PILT\" (5% IN LIEU)</td>\n",
+       "        <td class=\"number\">7</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MUNICIPAL PROPERTY</td>\n",
+       "        <td class=\"number\">7</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PRIVATE HOSPITALS</td>\n",
+       "        <td class=\"number\">7</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">COUNTY PROPERTY</td>\n",
+       "        <td class=\"number\">4</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PUBLIC CEMETERIES</td>\n",
+       "        <td class=\"number\">4</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (15)</td>\n",
+       "        <td class=\"number\">25</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">426421</td>\n",
+       "        <td class=\"number\">99.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">XUSE3_DESC<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>10</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>4.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>99.9%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>427512</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6761009165519727103\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>WETLANDS</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        236\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>CHARITABLE INSTITUTIONS</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        5\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>NURSING HOMES</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (6)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        7\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 99.9%\">\n",
+       "            427512\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6761009165519727103, #minifreqtable-6761009165519727103\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6761009165519727103\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">WETLANDS</td>\n",
+       "        <td class=\"number\">236</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">CHARITABLE INSTITUTIONS</td>\n",
+       "        <td class=\"number\">5</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">NURSING HOMES</td>\n",
+       "        <td class=\"number\">2</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">HRA PROPERTY \"PILT\" (5% IN LIEU)</td>\n",
+       "        <td class=\"number\">2</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PUBLIC HOSPITALS</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PRIVATE ACADEMIES, COLLEGES & UNIVERSITIES</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">POLLUTION CONTROL</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MUNICIPAL PROPERTY</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">CHURCHES AND CHURCH PROPERTY</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">427512</td>\n",
+       "        <td class=\"number\">99.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">XUSE4_DESC<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>4</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>11.1%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>100.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>427726</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable770144133455133831\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>WETLANDS</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        34\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>POLLUTION CONTROL</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>CHARITABLE INSTITUTIONS</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 100.0%\">\n",
+       "            427726\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable770144133455133831, #minifreqtable770144133455133831\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable770144133455133831\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">WETLANDS</td>\n",
+       "        <td class=\"number\">34</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">POLLUTION CONTROL</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">CHARITABLE INSTITUTIONS</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">427726</td>\n",
+       "        <td class=\"number\">100.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">YEAR_BUILT<br/>\n",
+       "            <small>Numeric</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>163</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "\n",
+       "                <tr>\n",
+       "                    <th>Mean</th>\n",
+       "                    <td>1818.9</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>2014</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"alert\">\n",
+       "                    <th>Zeros (%)</th>\n",
+       "                    <td>7.3%</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-481982654833644490\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABOlJREFUeJzt2k1IGwkYxvEn0q4f3UMF8WOLyWBTPy5%2BpAYVpSQS0EMPLR6krZR6KAjV0x68imy9tD0E9W5lpFQjlu6h9drrriyWUtvFxjQR1GpSLzYKxncPi8MK7bstKTNKnx/MYZxJ5pXM32EyQhxgmqYA4MLlmxbTNG0/V0/BAYZhAABM00RNTY0TI9BnLC0toaenB2WXbiL3bKm67972OtZeTNryGR7OdXje2MmRQPLz8wEANTU18Pl8ToxAirNePwpKveo%2Bn9aXsfZi0tbP8PC8sVOO7UckOkEYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKU45efCbt27hzJmf/3e/UHs77t79zYaJiI5yNJDVdAFOufRAdpMJ/HXvHgMhRzgayC%2BXelBQ6lX3%2BfDn71j/ELVpIqKjeA9CpHDkCpJOpwEAf0/%2BCleO3uhBZh8/nT6Nqampr37/nJwcHBwcnJh9j8scKysrAIDt5T%2BQ3kqo%2B%2B5trwMAlpaWvuq9s3F4jMPzxlbiANM0BQAXLt%2B0mKZp%2B7nqEhGBzba2tjA/Pw/DMJCfn2/34emESafTiMVi6OjoQFFRka3HdiQQopOCN%2BlECgZCpLA9kOXlZbS2tqKqqgpNTU22fAtCx8ve3h6uXr2K6upqNDQ0oKOjA9Hov8%2B6AoEAKioq4PP54PP5EA6Hrdel02lcv34dFy5cQHV1NWZnZ61tIoKBgQF4vV5UVlZifHz8%2Bwxr97cC7e3tMjk5KSIikUhE/H6/3SOQw3Z3d%2BXZs2fW%2BtjYmASDQRERCQQC8vTp08%2B%2Bbnh4WHp7e0VEZGVlRYqLiyWVSomIyMOHDyUUComISCqVEo/HI69fv856VluvIJubm1hYWMCNGzcAAF1dXUgkEtZfD/ox5ObmorOz01pvbm5GLBaz1r/03Obx48fo6%2BsDABiGgUAggLm5OQDA9PQ0bt%2B%2BDQAoLCxEd3c3Hj16lPWstgaSSCRQVlaGnP88HHS73YjH43aOQcdMOBzGlStXrPXBwUHU1dXh2rVr1sNLAIjH4/B4PNa6YRjWuaNtywZv0slRIyMjePfuHUZGRgAApmnizZs3WFxcRFtbGy5fvuzofLYGUl5ejrW1tSOX0Hg8DrfbbecYdEzcv38fT548wfPnz5GXlwcAOHfunLX9zp07iEaj%2BPjxIwDA4/Hg/fv31vZYLGadO263%2B4vbspL1Xcw3CgaDMjExISIiMzMzvEn/QT148EAuXrwo29vb1s/29/dlY2PDWo9EImIYhrU%2BNDRk3aRHo1EpKSmRZDIpIiITExMSCoUkk8lIMpkUj8cjr169ynpO2wN5%2B/attLS0SGVlpfj9/u/yS9DJsrq6Ki6XS7xerzQ0NEh9fb00NzfLzs6ONDY2Sm1trdTV1UkoFJKXL19ar9vZ2ZHu7m45f/68VFVVSSQSsbZlMhnp7%2B%2BXiooK8Xq9Mjo6%2Bl1m5b%2BaECl4k06kYCBECgZCpGAgRAoGQqRgIEQKBkKkYCBECgZCpGAgRAoGQqRgIESKfwAi993Ej%2BOqRwAAAABJRU5ErkJggg%3D%3D\">\n",
+       "\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-481982654833644490,#minihistogram-481982654833644490\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives-481982654833644490\">\n",
+       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
+       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-481982654833644490\"\n",
+       "                                                  aria-controls=\"quantiles-481982654833644490\" role=\"tab\"\n",
+       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#histogram-481982654833644490\" aria-controls=\"histogram-481982654833644490\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#common-481982654833644490\" aria-controls=\"common-481982654833644490\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#extreme-481982654833644490\" aria-controls=\"extreme-481982654833644490\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
+       "\n",
+       "    </ul>\n",
+       "\n",
+       "    <div class=\"tab-content\">\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-481982654833644490\">\n",
+       "            <div class=\"col-md-4 col-md-offset-1\">\n",
+       "                <p class=\"h4\">Quantile statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Minimum</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>5-th percentile</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q1</th>\n",
+       "                        <td>1931</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Median</th>\n",
+       "                        <td>1962</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q3</th>\n",
+       "                        <td>1985</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>95-th percentile</th>\n",
+       "                        <td>2005</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Maximum</th>\n",
+       "                        <td>2014</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Range</th>\n",
+       "                        <td>2014</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Interquartile range</th>\n",
+       "                        <td>54</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "            <div class=\"col-md-4 col-md-offset-2\">\n",
+       "                <p class=\"h4\">Descriptive statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Standard deviation</th>\n",
+       "                        <td>512.72</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Coef of variation</th>\n",
+       "                        <td>0.28189</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Kurtosis</th>\n",
+       "                        <td>8.6321</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Mean</th>\n",
+       "                        <td>1818.9</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>MAD</th>\n",
+       "                        <td>267</td>\n",
+       "                    </tr>\n",
+       "                    <tr class=\"\">\n",
+       "                        <th>Skewness</th>\n",
+       "                        <td>-3.2537</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Sum</th>\n",
+       "                        <td>778056932</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Variance</th>\n",
+       "                        <td>262880</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Memory size</th>\n",
+       "                        <td>3.3 MiB</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-481982654833644490\">\n",
+       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtQVFe6NvCn226kbREDeGmIMaPCKNERQTkzaJRBDIiK5QitmMCJMWBQUJGDGuLEVDwyXlAwMiBOyEQGhRhAjSHoCZZ3ZSIiEyeGqHFMBFpjyxG5NPf9/ZFif2678XLS0KM%2BvypKWfvtdy22VfLU3qt3ywRBEEBEREREZiO39AKIiIiInjYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGbdFrDWrVsHuVyO3/zmN0bHysvL4e/vDxsbG9jb2yMsLAx6vd5kn4yMDLi6ukKlUsHFxQUpKSkm62pqahAREYH%2B/fujd%2B/e8PHxwfnz503Wnj59GhMmTIBarYZGo8HSpUtRX19vVCcIAjZu3IghQ4ZApVJh9OjRyMnJeYyzQERERM%2BCbglYlZWV%2BNOf/oTevXubPPbyyy/j6tWrWL9%2BPeLi4lBQUIBXXnkFra2tktr09HSEh4dj1KhRSElJgZeXF5YsWYJNmzZJ6gRBQEBAAHJycsTjt27dgre3N77//ntJbVlZGXx9fdHY2IikpCSEh4djx44d0Gq1RmuNj4/HqlWr4Ofnh5SUFAwePBjz5s3Dnj17zHCWiIiI6KkhdIM5c%2BYIvr6%2Bgre3tzBq1CjJscjISEGtVgsVFRXiWFFRkSCTyYS//OUv4pjBYBAcHByEwMBAyetfe%2B01wcbGRrhz54449sknnwgymUzIz88Xx27duiU899xzwquvvip5/dSpUwUnJyehrq5OHPvwww8FuVwufPnll%2BJYZWWlYGVlJSxZskTy%2BokTJwovvPCC0N7e/jinhIiIiJ5iXX4F6/jx48jPz0dycrLJ4/n5%2BZg%2BfTqcnJzEscmTJ8PFxUVyZejIkSOorq7GokWLJK9fvHgx6urqUFBQII7l5eVh4MCBmDVrljjm4OAArVaL/fv3o6WlBQBQW1uLoqIihIaGQq1Wi7VhYWFQq9WS%2Bfft24fW1lZERkZK5o%2BMjERFRQXOnDnzOKeFiIiInmJdGrDa29uxZMkShIeH46WXXjI6XlVVhZ9%2B%2Bgljx441Oubp6SnZM9Xxdw8PD0mdh4cH5HK5Ua27u7vJng0NDbh06RIA4MKFC2htbTXqqVQq4ebmJulZVlYGtVqN4cOHG/UUBKHT/V1ERET07OnSgJWWloYff/wRa9euNXlcp9MBADQajdExjUaD6upq8WqTTqdDjx494ODgIKlTKpWwt7dHVVWVpG9nPQGItTqdDjKZrNPa%2B3sOGDDgoT2JiIiIuixgVVdXY82aNXj33XdhZ2dnssZgMAAAevbsaXTM2tpaUmMwGGBlZWWyj7W1tVjXUdtZT0EQJD0fNP%2Bj9ry3FxEREZGiqxq/8847sLe3R1RUVKc1KpUKANDU1GR0rLGxUVKjUqnQ3Nxssk9jY6NY11HbWU%2BZTCbp%2BaD5H7Xnvb1M0ev1OHToEF588cUH1hEREZH5GAwGXLt2DX5%2BfkZ3wLpalwSsK1eu4C9/%2BQu2bt2KyspKAD8/OqGxsREtLS344Ycf0KdPH/H2WsetwnvpdDrY2dlBqVQC%2BPlWXFtbG/R6veQktbS04Pbt23B0dBTHNBpNpz0BiLUajQaCIHRae3/Po0ePPrSnKYcOHcJrr73W6XEiIiLqOllZWXj11Ve7dc4uCViVlZUQBAFLlixBdHS00fEhQ4Zg6dKl2LJlC/r164eSkhKjmq%2B%2B%2Bgpubm7i925ubhAEASUlJfD39xfHz549i/b2dqPakydPGvUsLi5Gr1694OLiAgAYOXIkFAoFSkpKEBQUJNa1tLSgrKwMc%2BbMkfTMyMhAeXm5ZKN7cXExZDKZZP77vfjiiwB%2B/gceMWJEp3XUdWJiYpCUlGTpZTyzeP4ti%2Bffsnj%2BLefbb7/Fa6%2B9Jv4e7k5dErBGjhyJvXv3Go2/8847qKurwwcffIAhQ4YAAGbPno3MzExUVlaKj2o4fPgwLl26hNjYWPG1Pj4%2BsLOzQ1pamiRgpaWlQa1WY9q0aeJYUFAQ8vLykJ%2Bfjz/84Q8Afr5Nl5ubi8DAQPGqWJ8%2BfeDr64usrCz88Y9/FB/VkJmZifr6esnDRmfOnImYmBikpqbigw8%2BEMe3b98OJycneHl5dXo%2BOm4LjhgxwuS7G6nr2dra8txbEM%2B/ZT1r5//HH3/s9NNALM3BwQEvvPCCpZfxzLHI9pzufOiWqQeNXr9%2BXejXr58wbNgwYdu2bUJCQoJgZ2cnuLm5Cc3NzZLa1NRUQS6XC8HBwcKHH34ohIWFCXK5XFi/fr2krq2tTfjd734n9OnTR3j//feF1NRUYeTIkYKtra1w6dIlSW1paamgUqkEd3d3Yfv27cI777wjqFQqYerUqUbrX7FihSCXy4WFCxcKH374oTBt2jRBLpcLOTk5D/y5z507JwAQzp079zini8xoxowZll7CM43n37KepfP/ww8/CNaqXgKAf8sva1Uv4YcffrD0aXpmWPL3b5dtcu%2BMTCaTfP/888/j2LFjWL58Od5%2B%2B21YWVlh%2BvTpSExMFK80dYiMjISVlRU2b96MAwcOYNCgQUhOTja6DSmXy1FYWIi4uDhs27YNBoMBnp6eyMzMhLOzs6R2zJgxKCoqwsqVK7F8%2BXLY2NggPDwcCQkJRmvfsGED7OzskJ6ejp07d8LZ2Rm7du2S3EokIiLL0ev1aDQ04MXAOKgc/j2uFF3/Mh2DpiyEQf8jrn22CXq9nlexngHdGrCOHDlicnzEiBEoLCx8pB4LFizAggULHlpna2uLHTt2YMeOHQ%2Bt9fLywokTJx5p/pUrV2LlypWPVEtERJahcngBvQYOs/QyAAA9rNX/Nmuh7tMtH/ZMZGkhISGWXsIzjeffsnj%2BLcvO1dvSSyALYMCiZwJ/wVgWz79l8fxblt1L3pZeAlkAAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZlZlwWsixcvQqvVYujQoVCr1ejXrx8mTZqEzz//XFI3f/58yOVyoy9XV1eTfTMyMuDq6gqVSgUXFxekpKSYrKupqUFERAT69%2B%2BP3r17w8fHB%2BfPnzdZe/r0aUyYMAFqtRoajQZLly5FfX29UZ0gCNi4cSOGDBkClUqF0aNHIycn5zHPDBERET3tFF3V%2BIcffkBdXR1ef/11ODo6oqGhAXl5eQgMDMSOHTvw5ptvirXW1tbIyMiAIAjimK2trVHP9PR0REZGIjg4GLGxsThx4gSWLFkCg8GAuLg4sU4QBAQEBODChQtYsWIF7O3tkZqaCm9vb5SWlmLo0KFibVlZGXx9feHq6oqkpCRUVFRg06ZNuHLlCgoKCiTzx8fHY8OGDVi4cCHGjh2L/fv3Y968eZDL5dBqteY8fURERPQEkwn3ppouJggC3N3d0dTUhIsXLwL4%2BQpWXl4e7t69%2B8DXNjY2YtCgQfDy8sL%2B/fvF8dDQUOzfvx/Xr18XQ9mePXswd%2B5c5OXlYdasWQAAvV4PFxcXBAQEICsrS3x9QEAAvv76a3z33XdQq9UAfr5KFhERgUOHDsHX1xcAUFVVhV/96ld46623sHXrVvH1kyZNwrVr13Dt2jXIZDKTay8tLYWHhwfOnTsHd3f3xz1tRET0iDr%2Bvx3xxjb0GjjM0suRaLhxBd9%2BFM3fBd3Ikr9/u3UPlkwmw6BBg3Dnzh2jY%2B3t7aitre30tUeOHEF1dTUWLVokGV%2B8eDHq6uokV5vy8vIwcOBAMVwBgIODA7RaLfbv34%2BWlhYAQG1tLYqKihAaGiqGKwAICwuDWq3Gnj17xLF9%2B/ahtbUVkZGRkvkjIyNRUVGBM2fOPOJZICIioqddlweshoYG3L59G1evXkVSUhIKCwvFq0L31vTp0we2trawt7dHVFSU0R6ojv1THh4eknEPDw/I5XLJ/qrz58%2BbTKqenp5oaGjApUuXAAAXLlxAa2urUU%2BlUgk3NzdJz7KyMqjVagwfPtyopyAIne7vIiIiomdPl%2B3B6hAbG4v09HQAgFwux%2BzZs7Ft2zbxuKOjI1asWAF3d3e0t7fj4MGDSE1Nxddff42jR49CLv85A%2Bp0OvTo0QMODg6S/kqlEvb29qiqqhLHdDodJk2aZLQWjUYD4OfbfS%2B99BJ0Oh1kMpk4fn/tyZMnJT0HDBjwwJ5EREREQDcErJiYGAQHB6Oqqgp79uxBW1sbmpqaxOPr1q2T1Gu1Wjg7O2P16tXIzc0VN48bDAZYWVmZnMPa2hoGg0H83mAwoGfPnibrBEEQazv%2B7Kz2UXve24uIiIioy28Ruri4wMfHB6%2B99ho%2B%2B%2Bwz1NbWIjAw8IGviYmJgUwmQ1FRkTimUqnQ3Nxssr6xsREqlUpSe2%2BIu7dOJpOJtR1/dlb7qD3v7UVERETU5Vew7hcUFIS33noLly9fhrOzs8kaa2tr2Nvbo7q6WhzTaDRoa2uDXq%2BX3CZsaWnB7du34ejoKKnV6XRGfTvGOmo1Gg0EQei09v6eR48efWjPB4mJiTF6/ERISAhCQkIe%2BloiIiLqXHZ2NrKzsyVjNTU1FlqNBQJWx620B/3QdXV10Ov16Nevnzjm5uYGQRBQUlICf39/cfzs2bNob2%2BHm5ubpPbe/VMdiouL0atXL7i4uAAARo4cCYVCgZKSEgQFBYl1LS0tKCsrw5w5cyQ9MzIyUF5eLtnoXlxcDJlMJpm/M0lJSXxrLhERURcwdcGi4zENltBltwhv3bplNNba2oqdO3dCpVLB1dUVTU1NqKurM6p7//33AQBTp04Vx3x8fGBnZ4e0tDRJbVpaGtRqNaZNmyaOBQUF4ebNm8jPzxfH9Ho9cnNzERgYCKVSCQDo06cPfH19kZWVJXnXYmZmJurr6yUPD505cyYUCgVSU1Ml82/fvh1OTk7w8vJ6pPNCRERET78uu4K1cOFC3L17FxMnToSTkxNu3LiBXbt24bvvvsOWLVvQq1cv/PDDDxgzZgxCQkLEq0IHDx5EYWEhAgICJHu1rK2tsXbtWkRFRUGr1cLPzw/Hjx/H7t27kZCQgL59%2B4q1QUFBSE5Oxvz58/HNN9/AwcEBqampaG9vx3vvvSdZ57p16zB%2B/HhMnDgRERERuH79OrZs2QI/Pz9MmTJFrHNycsKyZcuQmJiI5uZmjBs3Dnv37sWpU6ewe/fuTh8ySkRERM%2BeLgtYc%2BfORUZGBrZv347bt2/DxsYGHh4e2LRpk3i1qW/fvpgxYwaKioqQmZmJtrY2DBs2DOvXr0dsbKxRz8jISFhZWWHz5s04cOAABg0ahOTkZERHR0vq5HI5CgsLERcXh23btsFgMMDT0xOZmZlG%2B77GjBmDoqIirFy5EsuXL4eNjQ3Cw8ORkJBgNP%2BGDRtgZ2eH9PR07Ny5E87Ozti1a5fkViIRERFRt35UzrOKH5VDRNQ9%2BFE5dK9n5qNyiIiIiJ4FDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZtZlAevixYvQarUYOnQo1Go1%2BvXrh0mTJuHzzz83qi0vL4e/vz9sbGxgb2%2BPsLAw6PV6k30zMjLg6uoKlUoFFxcXpKSkmKyrqalBREQE%2Bvfvj969e8PHxwfnz583WXv69GlMmDABarUaGo0GS5cuRX19vVGdIAjYuHEjhgwZApVKhdGjRyMnJ%2BcxzgoRERE9C7osYP3www%2Boq6vD66%2B/jg8%2B%2BADvvvsuZDIZAgMD8eGHH4p1lZWVePnll3H16lWsX78ecXFxKCgowCuvvILW1lZJz/T0dISHh2PUqFFISUmBl5cXlixZgk2bNknqBEFAQEAAcnJyxOO3bt2Ct7c3vv/%2Be0ltWVkZfH190djYiKSkJISHh2PHjh3QarVGP1N8fDxWrVoFPz8/pKSkYPDgwZg3bx727NljxjNHRERETzqZIAhCd00mCALc3d3R1NSEixcvAgAWLVqEzMxMfPfdd3BycgIAHD58GFOmTMGOHTvw5ptvAgAaGxsxaNAgeHl5Yf/%2B/WLP0NBQ7N%2B/H9evX4etrS0AYM%2BePZg7dy7y8vIwa9YsAIBer4eLiwsCAgKQlZUlvj4gIABff/01vvvuO6jVagA/XyWLiIjAoUOH4OvrCwCoqqrCr371K7z11lvYunWr%2BPpJkybh2rVruHbtGmQymcmfu7S0FB4eHjh37hzc3d3Nci6JiMhYx/%2B3I97Yhl4Dh1l6ORINN67g24%2Bi%2BbugG1ny92%2B37sGSyWQYNGgQ7ty5I47l5%2Bdj%2BvTpYrgCgMmTJ8PFxUVyZejIkSOorq7GokWLJD0XL16Muro6FBQUiGN5eXkYOHCgGK4AwMHBAVqtFvv370dLSwsAoLa2FkVFRQgNDRXDFQCEhYVBrVZL5t%2B3bx9aW1sRGRkpmT8yMhIVFRU4c%2BbM//W0EBER0VOmywNWQ0MDbt%2B%2BjatXryIpKQmFhYWSq0I//fQTxo4da/Q6T09PyZ6pjr97eHhI6jw8PCCXy41qTSVVT09PNDQ04NKlSwCACxcuoLW11ainUqmEm5ubpGdZWRnUajWGDx9u1FMQhE73dxEREdGzp8sDVmxsLPr164dhw4YhLi4Of/jDH7Bt2zYAgE6nAwBoNBqj12k0GlRXV4tXm3Q6HXr06AEHBwdJnVKphL29PaqqqsQxnU7XaU8AYq1Op4NMJuu09v6eAwYMeGhPIiIiIkVXTxATE4Pg4GBUVVVhz549aGtrQ1NTEwDAYDAAAHr27Gn0Omtra7FGqVTCYDDAysrK5BzW1tZir47XdNZTEASx9mHzP2rPe3sRERERdfkVLBcXF/j4%2BOC1117DZ599htraWgQGBgIAVCoVAIiB616NjY2SGpVKhebmZpNzNDY2inUdtZ31lMlkkp4Pmv9Re97bi4iIiKjLr2DdLygoCG%2B99RYuX74s3l7ruFV4L51OBzs7OyiVSgA/34pra2uDXq%2BX3CZsaWnB7du34ejoKI5pNJpOewIQazUaDQRB6LT2/p5Hjx59aM8HiYmJEd/p2CEkJAQhISEPfS0RERF1Ljs7G9nZ2ZKxmpoaC63GAgGr41ZaTU0NnJ2d0a9fP5SUlBjVffXVV3BzcxO/d3NzgyAIKCkpgb%2B/vzh%2B9uxZtLe3G9WePHnSqGdxcTF69eoFFxcXAMDIkSOhUChQUlKCoKAgsa6lpQVlZWWYM2eOpGdGRgbKy8slG92Li4shk8kk83cmKSmJb80lIiLqAqYuWHQ8psESuuwW4a1bt4zGWltbsXPnTqhUKri6ugIAZs%2Bejc8//xyVlZVi3eHDh3Hp0iXJwz59fHxgZ2eHtLQ0Sc%2B0tDSo1WpMmzZNHAsKCsLNmzeRn58vjun1euTm5iIwMFC8KtanTx/4%2BvoiKytL8uT2zMxM1NfXS%2BafOXMmFAoFUlNTJfNv374dTk5O8PLyeqzzQ0RERE%2BvLruCtXDhQty9excTJ06Ek5MTbty4gV27duG7777Dli1b0KtXLwA/Px09NzcX3t7eWLp0KWpra5GYmIjRo0fj9ddfF/tZW1tj7dq1iIqKglarhZ%2BfH44fP47du3cjISEBffv2FWuDgoKQnJyM%2BfPn45tvvoGDgwNSU1PR3t6O9957T7LOdevWYfz48Zg4cSIiIiJw/fp1bNmyBX5%2BfpgyZYpY5%2BTkhGXLliExMRHNzc0YN24c9u7di1OnTmH37t2dPmSUiIiInj1dFrDmzp2LjIwMbN%2B%2BHbdv34aNjQ08PDywadMmydWm559/HseOHcPy5cvx9ttvw8rKCtOnT0diYqJ4palDZGQkrKyssHnzZhw4cACDBg1CcnIyoqOjJXVyuRyFhYWIi4vDtm3bYDAY4OnpiczMTDg7O0tqx4wZg6KiIqxcuRLLly%2BHjY0NwsPDkZCQYPQzbdiwAXZ2dkhPT8fOnTvh7OyMXbt2SW4lEhEREXXrR%2BU8q/hROURE3YMflUP3emY%2BKoeIiIjoWcCARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmXRawSkpKEBUVhZEjR6J3794YPHgw5syZg8uXL0vq5s%2BfD7lcbvTl6upqsm9GRgZcXV2hUqng4uKClJQUk3U1NTWIiIhA//790bt3b/j4%2BOD8%2BfMma0%2BfPo0JEyZArVZDo9Fg6dKlqK%2BvN6oTBAEbN27EkCFDoFKpMHr0aOTk5DzmmSEiIqKnnaKrGm/YsAGnT59GcHAwfvOb3%2BDGjRvYtm0b3N3d8fe//10SoKytrZGRkQFBEMQxW1tbo57p6emIjIxEcHAwYmNjceLECSxZsgQGgwFxcXFinSAICAgIwIULF7BixQrY29sjNTUV3t7eKC0txdChQ8XasrIy%2BPr6wtXVFUlJSaioqMCmTZtw5coVFBQUSOaPj4/Hhg0bsHDhQowdOxb79%2B/HvHnzIJfLodVqzXn6iIiI6AnWZQErNjYW2dnZUCj%2B/xRarRajRo3C%2BvXrkZmZ%2Bf8XoVAgJCTkgf0aGxuxevVqzJgxA5988gkAYMGCBWhra8PatWsREREhhrJPP/0UZ86cQV5eHmbNmgUACA4OhouLC9asWYOsrCyxb3x8POzs7HDs2DGo1WoAwODBgxEREYGioiL4%2BvoCAKqqqrBlyxZER0dj69at4vyTJk1CXFwcgoODIZPJfulpIyIioqdAl90i/O1vfysJVwAwbNgwvPTSS/j222%2BN6tvb21FbW9tpvyNHjqC6uhqLFi2SjC9evBh1dXWSq015eXkYOHCgGK4AwMHBAVqtFvv370dLSwsAoLa2FkVFRQgNDRXDFQCEhYVBrVZjz5494ti%2BffvQ2tqKyMhIyfyRkZGoqKjAmTNnHnQ6iIiI6BnS7Zvcb968CQcHB8lYQ0MD%2BvTpA1tbW9jb2yMqKspoD1TH/ikPDw/JuIeHB%2BRyuWR/1fnz5%2BHu7m40t6enJxoaGnDp0iUAwIULF9Da2mrUU6lUws3NTdKzrKwMarUaw4cPN%2BopCEKn%2B7uIiIjo2dOtASsrKwuVlZWYO3euOObo6IgVK1bg448/Rk5ODmbOnInU1FRMnToV7e3tYp1Op0OPHj2MwplSqYS9vT2qqqoktRqNxmj%2BjrGOWp1OB5lM1mnt/T0HDBjw0J5EREREXbYH637l5eWIiorC%2BPHjERYWJo6vW7dOUqfVauHs7IzVq1cjNzdX3DxuMBhgZWVlsre1tTUMBoP4vcFgQM%2BePU3WCYIg1nb82Vnto/a8txcRERFRt1zBunnzJqZNm4bnnnsOn3766UM3g8fExEAmk6GoqEgcU6lUaG5uNlnf2NgIlUolqW1qajJZJ5PJxNqOPzurfdSe9/YiIiIiUsyYMQOhoaGYOXOmySs0v9Tdu3fh7%2B%2BPu3fv4uTJkxg4cOBDX2NtbQ17e3tUV1eLYxqNBm1tbdDr9ZLbhC0tLbh9%2BzYcHR0ltTqdzqhvx1hHrUajgSAIndbe3/Po0aMP7fkgMTExRo%2BfCAkJeeg7KImIiOjBsrOzkZ2dLRmrqamx0GoAxcWLFzF37lz06dMHs2fPRmhoKLy9vc3SvKmpCdOnT8eVK1dw%2BPBh/PrXv36k19XV1UGv16Nfv37imJubGwRBQElJCfz9/cXxs2fPor29HW5ubpLakydPGvUtLi5Gr1694OLiAgAYOXIkFAoFSkpKEBQUJNa1tLSgrKwMc%2BbMkfTMyMhAeXm5ZKN7cXExZDKZZP7OJCUlmdx8T0RERL%2BMqQsWpaWlRm9k6y7y77//HqdOncKrr76KAwcOYPLkyXjhhRfw9ttv45///Of/uXF7ezu0Wi3%2B/ve/Izc3F56enkY1TU1NqKurMxp///33AQBTp04Vx3x8fGBnZ4e0tDRJbVpaGtRqNaZNmyaOBQUF4ebNm8jPzxfH9Ho9cnNzERgYCKVSCQDo06cPfH19kZWVJXnXYmZmJurr6yUPD505cyYUCgVSU1Ml82/fvh1OTk7w8vJ6pPNCRERETz8FAPzud7/D7373O3zwwQc4ePAgsrKysG3bNmzcuBGjRo1CWFgYQkJCTL7brjPLly/HgQMHEBgYCL1ej127dkmOv/rqq7hx4wbGjBmDkJAQ8arQwYMHUVhYiICAAAQGBor11tbWWLt2LaKioqDVauHn54fjx49j9%2B7dSEhIQN%2B%2BfcXaoKB4%2BPItAAAgAElEQVQgJCcnY/78%2Bfjmm2/g4OCA1NRUtLe347333pOsY926dRg/fjwmTpyIiIgIXL9%2BHVu2bIGfnx%2BmTJki1jk5OWHZsmVITExEc3Mzxo0bh7179%2BLUqVPYvXs3HzJKREREIplw7%2BfT3OPOnTtYuHChuCldLpdj8uTJiImJgZ%2Bf30Mb//73v8fx48c7Pd7W1oaamhosWbIExcXFqKqqQltbG4YNG4bXXnsNsbGx6NGjh9HrMjIysHnzZvzrX//CoEGDEB0djejoaKO6mpoaxMXFYd%2B%2BfTAYDPD09ERiYiLGjBljVHv69GmsXLkSpaWlsLGxwZw5c5CQkCB5%2BGiHDRs2ID09HTqdDs7OzoiPj5c8dsKUjkuU586d4y1CIqIu1PH/7Yg3tqHXwGGWXo5Ew40r%2BPajaP4u6EaW/P1rFLCKi4uRlZWFPXv2QK/XY8SIEQgNDYVSqcRHH32E8vJyvPvuu1izZk23LvRJxoBFRNQ9GLDoXpb8/asAgEuXLiErKwu7d%2B/Gv/71Lzg4OCAkJAShoaEYO3asWBwbG4sFCxZg27ZtDFhEREREnVCMHTsW58%2Bfh5WVFaZPn46kpCRMnTrV6HMEO/j6%2BuKvf/1rNy%2BTiIiI6MmhsLa2RmpqKubMmSPZKN6ZwMBAXL58uRuWRkRERPRkUph6XtSDqNVqDB06tIuWQ0RERPTkk5eVlSE9Pb3Tgh07duDrr7/uxiURERERPdnk8fHxKCws7LTg0KFDeOedd7pxSURERERPNnlJSQkmTpzYacHLL7%2BMs2fPduOSiIiIiJ5s8traWlhZWXVa0KNHD4t%2BWCIRERHRk0bu7OyML7/8stOC//mf/8GvfvWrblwSERER0ZNNPn/%2BfBw4cAArVqxAbW2teODu3buIi4vDF198gTfeeMOCSyQiIiJ6siiWLVuG0tJSJCYmIjk5Gc8//zwAoKKiAq2trQgJCUFsbKyFl0lERET05FDIZDL87W9/Q1hYGPLy8nD16lUAgJ%2BfH2bPng1fX18LL5GIiIjoySJ%2BHs6UKVMwZcoUS66FiIiI6Kkgt/QCiIiIiJ42cgDIyMiAl5cXBg4ciJ49e8LKykry1bNnT0uvk4iIiOiJoVi1ahU2bdqEUaNGISgoCM8995yl10RERET0RFN89NFHmDVrFnJzcy29FiIiIqKngtxgMOCVV16x9DqIiIiInhry3//%2B9zh37pyl10FERET01JCnpqbixIkT2LhxI%2B7cuWPp9RARERE98eSjRo3C9evX8fbbb8Pe3h62traws7OTfNnb21t6nURERERPDMW0adMgk8ksvQ4iIiKip4YiKyvL0msgIiIieqrwSe5EREREZiYHgIqKCkRFReGll15Cv379cOLECQCAXq/H8uXLUVZWZtFFEhERET1JFOXl5Xj55ZfR0tKCcePGoby8HC0tLQAABwcHHDlyBHfv3sWHH35o4aUSERERPRnkK1asQO/evfHdd98hOzsbgiBICqZNmyZe0XocJSUliIqKwsiRI9G7d28MHjwYc%2BbMweXLl41qy8vL4e/vDxsbG9jb2yMsLAx6vd5k34yMDLi6ukKlUsHFxQUpKSkm62pqahAREYH%2B/fujd%2B/e8PHxwfnz503Wnj59GhMmTIBarYZGo8HSpUtRX19vVCcIAjZu3IghQ4ZApVJh9OjRyMnJeYyzQkRERM8C%2BbFjx7Bo0SIMGDDA5LsJBw8ejMrKysduvGHDBuzduxe%2Bvr744IMPsHDhQhw/fhzu7u64ePGiWFdZWYmXX34ZV69exfr16xEXF4eCggK88soraG1tlfRMT09HeHg4Ro0ahZSUFHh5eWHJkiXYtGmTpE4QBAQEBCAnJ0c8fuvWLXh7e%2BP777%2BX1JaVlcHX1xeNjY1ISkpCeHg4duzYAa1Wa/QzxcfHY9WqVfDz80NKSgoGDx6MefPmYc%2BePY99foiIiOjppWhra4Nare60QK/XQ6lUPnbj2NhYZGdnQ6FQiGNarRajRo3C%2BvXrkZmZCQBYt24dDAYDysrK4OTkBAAYN24cpkyZgo8//hhvvvkmAKCxsRGrV6/GjBkz8MknnwAAFixYgLa2NqxduxYRERGwtbUFAHz66ac4c%2BYM8vLyMGvWLABAcHAwXFxcsGbNGtz7zsn4%2BHjY2dnh2LFj4nkYPHgwIiIiUFRUBF9fXwBAVVUVtmzZgujoaGzdulWcf9KkSYiLi0NwcDAfd0FEREQAAPmYMWNw8OBBkwfb2tqQk5OD//iP/3jsxr/97W8l4QoAhg0bhpdeegnffvutOJafn4/p06eL4QoAJk%2BeDBcXF8mVoSNHjqC6uhqLFi2S9Fy8eDHq6upQUFAgjuXl5WHgwIFiuAJ%2B3k%2Bm1Wqxf/9%2BcY9ZbW0tioqKEBoaKgmZYWFhUKvVkvn37duH1tZWREZGSuaPjIxERUUFzpw581jnh4iIiJ5e8lWrVqGgoADR0dEoLy8H8PNVq6NHj8Lf3x8XL17EqlWrzDbhzZs34eDgAODnq0I//fQTxo4da1Tn6ekp2TPV8XcPDw9JnYeHB%2BRyuVGtu7u7yZ4NDQ24dOkSAODChQtobW016qlUKuHm5ibpWVZWBrVajeHDhxv1FASh0/1dRERE9OyRT5s2DRkZGfjb3/6GiRMnAgBCQkIwefJkfPXVV/joo4/g7e1tlsmysrJQWVmJuXPnAgB0Oh0AQKPRGNVqNBpUV1eLV5t0Oh169OghhrMOSqUS9vb2qKqqEsd0Ol2nPQGItTqdDjKZrNPa%2B3sOGDDgoT2JiIiIFADw%2BuuvY/bs2Th48CCuXLmC9vZ2DB06FFOnThX3Nf1S5eXliIqKwvjx4xEWFgYAMBgMAICePXsa1VtbW4s1SqUSBoMBVlZWJntbW1uLvTpe01lPQRDE2ofN/6g97%2B1FREREJG6SsrGxQXBwcJdMcvPmTUybNg3PPfccPv30U3EzuEqlAgA0NTUZvaaxsVFSo1Kp0NzcbLJ/Y2OjWNdR21lPmUwm6fmg%2BR%2B15729iIiIiBSPemvL0dHx/zTB3bt34e/vj7t37%2BLkyZMYOHCgeKzj9lrHrcJ76XQ62NnZie9g1Gg0aGtrg16vl9wmbGlpwe3btyXr02g0nfa892fRaDQQBKHT2vt7Hj169KE9HyQmJsboimBISAhCQkIe%2BloiIiLqXHZ2NrKzsyVjNTU1FloNoHj%2B%2Becf6fECbW1tj928qakJ06dPx5UrV3D48GH8%2Bte/lhx3dHREv379UFJSYvTar776Cm5ubuL3bm5uEAQBJSUl8Pf3F8fPnj2L9vZ2o9qTJ08a9SwuLkavXr3g4uICABg5ciQUCgVKSkoQFBQk1rW0tKCsrAxz5syR9MzIyEB5eblko3txcTFkMplk/s4kJSWZ3HxPREREv4ypCxalpaVGb2TrLvIdO3bg/q%2B0tDSsXLkSjo6O8PDwwI4dOx67cXt7O7RaLf7%2B978jNzcXnp6eJutmz56Nzz//XPIw08OHD%2BPSpUuSh336%2BPjAzs4OaWlpktenpaVBrVZj2rRp4lhQUBBu3ryJ/Px8cUyv1yM3NxeBgYHiVbE%2BffrA19cXWVlZkie3Z2Zmor6%2BXjL/zJkzoVAokJqaKpl/%2B/btcHJygpeX1%2BOcHiIiInqKKToe5GlKfHw8PD09xX1Gj2P58uU4cOAAAgMDodfrsWvXLsnxV199VZwjNzcX3t7eWLp0KWpra5GYmIjRo0fj9ddfF%2Butra2xdu1aREVFQavVws/PD8ePH8fu3buRkJCAvn37irVBQUFITk7G/Pnz8c0338DBwQGpqalob2/He%2B%2B9J1nHunXrMH78eEycOBERERG4fv06tmzZAj8/P0yZMkWsc3JywrJly5CYmIjm5maMGzcOe/fuxalTp7B7924%2BZJSIiIhEigcd7N27N9544w1s3rwZixcvfqzG//jHPyCTyXDgwAEcOHDA6HhHwHr%2B%2Bedx7NgxLF%2B%2BHG%2B//TasrKwwffp0JCYmGj1BPjIyElZWVti8eTMOHDiAQYMGITk5GdHR0ZI6uVyOwsJCxMXFYdu2bTAYDPD09ERmZiacnZ0ltWPGjEFRURFWrlyJ5cuXw8bGBuHh4UhISDBa84YNG2BnZ4f09HTs3LkTzs7O2LVrl%2BRWIhEREdEDA1YHU5vAH%2BbIkSOPXDtixAgUFhY%2BUu2CBQuwYMGCh9bZ2tqKtzwfxsvL65E/0HrlypVYuXLlI9USERHRs6nTgNXQ0IDjx48jMTHxkTZwExEREdHPFEql0uT%2Boba2NgiCACcnJ/z5z3%2B2wNKIiIiInkyKlStXGgUsmUyG5557Tnya%2B/17oYiIiIioc4r//u//tvQaiIiIiJ4qcksvgIiIiOhpo4iIiHjsF8lkMqSnp3fBcoiIiIiefIrCwkIYDAZUV1cD%2BPlDnwGgtrYWAGBnZ2f0QcZ8qCYRERFR5%2BRffvklevXqhRUrVqCqqgo1NTWoqalBVVUV4uLioFarUVRUhOvXr4tfP/74o6XXTURERPRvSxEVFYUpU6Zg/fr1kgMDBw7Ehg0boNfrERUVhS%2B//NJCSyQiIiJ6ssiLi4sxduzYTgvGjh2LM2fOdOOSiIiIiJ5s8r59%2B%2BLQoUOdFhQWFsLW1rYbl0RERET0ZJNHRETgs88%2Bw%2BzZs3H06FFUVFSgoqICR44cwR/%2B8AcUFBRg4cKFll4nERER0RND8cc//hEGgwGbN2/Gvn37JAd79OiB//qv/8K7775roeURERERPXkUMpkMf/rTnxATE4NDhw6J7xAcPHgwpkyZggEDBlh4iURERERPFkXHX/r374/Q0FBLroWIiIjoqSAHgPb2duTm5mLx4sUIDg7GP//5TwDA3bt38dlnn%2BGnn36y6CKJiIiIniTyu3fv4uWXX4ZWq8XHH3%2BM/Px8MVD16tULkZGR2Lp1q4WXSURERPTkkK9atQr/%2BMc/UFBQgGvXrkEQBPGgQqFAUFAQvvjiCwsukYiIiOjJIt%2B7dy%2Bio6MxdepUyOVyowIXFxdcu3at%2B1dGRERE9ISS/%2B///i%2BGDBnSaUFraytaWlq6cUlERERETzb50KFDcf78%2BU4LioqKMGLEiG5cEhEREdGTTb5gwQJ89NFHyMvLEwdlMhlaWlqwZs0afPHFF4iIiLDgEomIiIieLIqYmBhcuHABwcHBsLe3BwCEhoZCr9ejubkZCxYsQHh4uIWXSURERPTkUMhkMvz1r3/Ff/7nfyI3NxeXL19Ge3s7hg4dCq1WCx8fH0uvkYiIiOiJovjiiy/wwgsvwNvbG97e3pZeDxEREdETTz5r1iycOHHC0usgIiIiemrIhw0bhurq6i5pXl9fjzVr1mDq1Kmwt7eHXC5HZmamUd38%2BfMhl8uNvlxdXU32zcjIgKurK1QqFVxcXJCSkmKyrqamBhEREejfvz969%2B4NHx%2BfTt8xefr0aUyYMAFqtRoajQZLly5FfX29UZ0gCNi4cSOGDBkClUqF0aNHIycn5zHOChERET3tFKtWrcLKlSsxZ84cDBs2zKzN9Xo91q5di8GDB8PNzQ1Hjx7ttNba2hoZGRmSJ8nb2toa1aWnpyMyMhLBwcGIjY3FiRMnsGTJEhgMBsTFxYl1giAgICAAFy5cwIoVK2Bvb4/U1FR4e3ujtLQUQ4cOFWvLysrg6%2BsLV1dXJCUloaKiAps2bcKVK1dQUFAgmT8%2BPh4bNmzAwoULMXbsWOzfvx/z5s2DXC6HVqv9BWeLiIiInhaK8%2BfP47nnnoOrqysmT56MF198ESqVSlIkk8mwefPmx27u6OiIGzduoH///jh37hzGjRvX%2BUIUCoSEhDywX2NjI1avXo0ZM2bgk08%2BAQAsWLAAbW1tWLt2LSIiIsRQ9umnn%2BLMmTPIy8vDrFmzAADBwcFwcXHBmjVrkJWVJfaNj4%2BHnZ0djh07BrVaDQAYPHgwIiIiUFRUBF9fXwBAVVUVtmzZgujoaPHzGRcsWIBJkyYhLi4OwcHBkMlkj32eiIiI6OmiSE5OFr85dOiQyaL/a8BSKpXo37//I9e3t7ejvr4eNjY2Jo8fOXIE1dXVWLRokWR88eLF2LVrFwoKCjBv3jwAQF5eHgYOHCiGKwBwcHCAVqvFrl270NLSAqVSidraWhQVFSE2NlYMVwAQFhaGmJgY7NmzRwxY%2B/btQ2trKyIjIyXzR0ZG4tVXX8WZM2fg5eX1yD8vERERPZ3kLS0teNhXc3Nzly%2BkoaEBffr0ga2tLezt7REVFWW0B6pj/5SHh4dk3MPDA3K5XLK/6vz583B3dzeax9PTEw0NDbh06RIA4MKFC2htbTXqqVQq4ebmJulZVlYGtVqN4cOHG/UUBOGBT8QnIiKiZ4eiR48ell4DHB0dsWLFCri7u6O9vR0HDx5Eamoqvv76axw9elT8EGqdTocePXrAwcFB8nqlUgl7e3tUVVWJYzqdDpMmTTKaS6PRAPj5dt9LL70EnU4HmUwmjt9fe/LkSUnPAQMGPLAnERERkQIAbt%2B%2Bjf79%2B%2BPLL7%2B0yINF161bJ/leq9XC2dkZq1evRm5urrh53GAwwMrKymQPa2trGAwG8XuDwYCePXuarBMEQazt%2BLOz2kfteW8vIiIierbJO/5y77v3/h3ExMRAJpOhqKhIHFOpVJ3ermxsbJRszlepVGhqajJZJ5PJxNqOPzurfdSe9/YiIiKiZ5vC0gvojLW1Nezt7SXP6NJoNGhra4Ner5fcJmxpacHt27fh6OgoqdXpdEZ9O8Y6ajUaDQRB6LT2/p6mHjVxf8/OxMTEGD16IiQk5KHvniQiIqIHy87ORnZ2tmSspqbGQqv5Nw5YdXV10Ov16Nevnzjm5uYGQRBQUlICf39/cfzs2bNob2%2BHm5ubpPbe/VMdiouL0atXL7i4uAAARo4cCYVCgZKSEgQFBYl1LS0tKCsrw5w5cyQ9MzIyUF5eLtnoXlxcDJlMJpnflKSkJJMb74mIiOiXMXXBorS01OhNbN1FXlpaiq%2B//hoAcPnyZZSWlpr86ipNTU2oq6szGn///fcBAFOnThXHfHx8YGdnh7S0NEltWloa1Go1pk2bJo4FBQXh5s2byM/PF8f0ej1yc3MRGBgIpVIJAOjTpw98fX2RlZUleddiZmYm6uvrJQ8PnTlzJhQKBVJTUyXzb9%2B%2BHU5OTnxEAxEREQEAFPc%2B/PP%2B50sBP%2B/NkslkaGtr%2Bz9N8Oc//xl37txBZWUlAOCzzz7D9evXAQBLlixBdXU1xowZg5CQEPGq0MGDB1FYWIiAgAAEBgaKvaytrbF27VpERUVBq9XCz88Px48fx%2B7du5GQkIC%2BffuKtUFBQUhOTsb8%2BfPxzTffwMHBAampqWhvb8d7770nWeO6deswfvx4TJw4EREREbh%2B/Tq2bNkCPz8/TJkyRaxzcnLCsmXLkJiYiObmZowbNw579%2B7FqVOnsHv3bj5klIiIiAAAio8%2B%2BqhLJ0hMTMSPP/4I4OcHlu7duxd79%2B4FAISGhqJv376YMWMGioqKkJmZiba2NgwbNgzr169HbGysUb/IyEhYWVlh8%2BbNOHDgAAYNGoTk5GRER0dL6uRyOQoLCxEXF4dt27bBYDDA09MTmZmZcHZ2ltSOGTMGRUVFWLlyJZYvXw4bGxuEh4cjISHBaP4NGzbAzs4O6enp2LlzJ5ydnbFr1y7JrUQiIiJ6tsmEf7e3Dz6FOu4Bnzt3jnuwiIi6UMf/tyPe2IZeA837%2Bbq/VMONK/j2o2j%2BLuhGlvz9K394CRERERE9DgYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjPr0oBVX1%2BPNWvWYOrUqbC3t4dcLkdmZqbJ2vLycvj7%2B8PGxgb29vYICwuDXq83WZuRkQFXV1eoVCq4uLggJSXFZF1NTQ0iIiLQv39/9O7dGz4%2BPjh//rzJ2tOnT2PChAlQq9XQaDRYunQp6uvrjeoEQcDGjRsxZMgQqFQqjB49Gjk5OY94RoiIiOhZ0KUBS6/XY%2B3atSgvL4ebmxtkMpnJusrKSrz88su4evUq1q9fj7i4OBQUFOCVV15Ba2urpDY9PR3h4eEYNWoUUlJS4OXlhSVLlmDTpk2SOkEQEBAQgJycHPH4rVu34O3tje%2B//15SW1ZWBl9fXzQ2NiIpKQnh4eHYsWMHtFqt0Vrj4%2BOxatUq%2BPn5ISUlBYMHD8a8efOwZ8%2BeX3i2iIiI6Gmh6Mrmjo6OuHHjBvr3749z585h3LhxJuvWrVsHg8GAsrIyODk5AQDGjRuHKVOm4OOPP8abb74JAGhsbMTq1asxY8YMfPLJJwCABQsWoK2tDWvXrkVERARsbW0BAJ9%2B%2BinOnDmDvLw8zJo1CwAQHBwMFxcXrFmzBllZWeL88fHxsLOzw7Fjx6BWqwEAgwcPRkREBIqKiuDr6wsAqKqqwpYtWxAdHY2tW7eK80%2BaNAlxcXEIDg7uNEQSERHRs6NLr2AplUr079//oXX5%2BfmYPn26GK4AYPLkyXBxcZFcGTpy5Aiqq6uxaNEiyesXL16Muro6FBQUiGN5eXkYOHCgGK4AwMHBAVqtFvv370dLSwsAoLa2FkVFRQgNDRXDFQCEhYVBrVZL5t%2B3bx9aW1sRGRkpmT8yMhIVFRU4c%2BbMQ39WIiIievpZfJN7VVUVfvrpJ4wdO9bomKenp2TPVMffPTw8JHUeHh6Qy%2BVGte7u7iZ7NjQ04NKlSwCACxcuoLW11ainUqmEm5ubpGdZWRnUajWGDx9u1FMQhE73dxEREdGzxeIBS6fTAQA0Go3RMY1Gg%2BrqavFqk06nQ48ePeDg4CCpUyqVsLe3R1VVlaRvZz0BiLU6nQ4ymazT2vt7Dhgw4KE9iYiI6Nlm8YBlMBgAAD179jQ6Zm1tLakxGAywsrIy2cfa2lqs66jtrKcgCJKeD5r/UXve24uIiIiebRYPWCqVCgDQ1NRkdKyxsVFSo1Kp0NzcbLJPY2OjWNdR21lPmUwm6fmg%2BR%2B15729iIiI6NnWpe8ifBQdt9c6bhXeS6fTwc7ODkqlUqxta2uDXq%2BX3CZsaWnB7du34ejoKOnbWU8AYq1Go4EgCJ3W3t/z6NGjD%2B3ZmZiYGPFdjh1CQkIQEhLywNcRERHRg2VnZyM7O1syVlNTY6HV/BsELEdHR/Tr1w8lJSVGx7766iu4ubmJ37u5uUEQBJSUlMDf318cP3v2LNrb241qT548adSzuLgYvXr1gouLCwBg5MiRUCgUKCkpQVBQkFjX0tKCsrIyzJkzR9IzIyMD5eXlko3uxcXFkMlkkvlNSUpKMrnxnoiIiH4ZUxcsSktLjd7E1l0sfosQAGbPno3PP/8clZWV4tjhw4dx6dIlycM%2BfXx8YGdnh7S0NMnr09LSoFarMW3aNHEsKCgIN2/eRH5%2Bvjim1%2BuRm5uLwMBA8apYnz594Ovri6ysLMmT2zMzM1FfXy%2BZf%2BbMmVAoFEhNTZXMv337djg5OcHLy%2BsXngkiIiJ6GnT5Faw///nPuHPnjhiePvvsM1y/fh0AsGTJEtjY2CA%2BPh65ubnw9vbG0qVLUVtbi8TERIwePRqvv/662Mva2hpr165FVFQUtFot/Pz8cPz4cezevRsJCQno27evWBsUFITk5GTMnz8f33zzDRwcHJCamor29na89957kjWuW7cO48ePx8SJExEREYHr169jy5Yt8PPzw5QpU8Q6JycnLFu2DImJiWhubsa4ceOwd%2B9enDp1Crt37%2BZDRomIiAhANwSsxMRE/PjjjwAAmUyGvXv3Yu/evQCA0NBQ2NjY4Pnnn8exY8ewfPlyvP3227CyssL06dORmJgoXmnqEBkZCSsrK2zevBkHDhzAoEGDkJycjOjoaEmdXC5HYWEh4uLisG3bNhgMBnh6eiIzMxPOzs6S2jFjxqCoqAgrV67E8uXLYWNjg/DwcCQkJBj9PBs2bICdnR3S09Oxc%2BdOODs7Y9euXZJbiURERPRskwmCIFh6EU%2B7jnvA586d4x4sIqIu1PH/7Yg3tqHXwGGWXo5Ew40r%2BPajaP4u6EaW/P37b7EHi4iIiOhpwoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGb/FgHr2LFj/6%2B9uw%2BKqnz7AP49C7vswoLJgrmYo5OwTWa2hZFoOQ7pQEo6JqxaifqYNJZl2ohj09ukqJWlqUMv6pM5GFHqTC9aM%2BGglS8hKo5aDulkI8IPQ1JeXFiE6/nD4TzsbxeBPMsu%2Bv3MnBn3Pte59z7X3ivXnHO4gU6n89iCgoJQVFTkFnvq1CmkpKQgPDwcFosFGRkZqKqq8trvpk2bMHjwYJhMJthsNqxfv95r3OXLl5GZmYk%2BffrAbDYjKSkJR48e9Rq7f/9%2BPPzwwwgLC4PVasX8%2BfNRX19/YwkgIiKim0qwvwfQ1ksvvYRhw4a5tcXGxqr/Pn/%2BPB555BH07t0bK1euRG1tLd59912cOHECRUVFCA7%2B/9P5%2BOOPMXfuXKSnp%2BPll1/Gzz//jBdffBFOpxOLFi1S40QE48aNw/Hjx5GVlQWLxYKcnByMHj0aR44cwaBBg8kLBIgAABHlSURBVNTYkpISjBkzBoMHD8bq1atRVlaGd999F6dPn8bOnTt9mBkiIiLqSQKqwHr44YfxxBNPtLs/OzsbTqcTJSUl6NevHwDgwQcfxNixY7F582Y888wzAICGhga8%2BuqrePzxx5Gfnw8AmD17Npqbm7F06VJkZmaiV69eAICvvvoKBw4cwPbt2zFp0iQAQHp6Omw2G9544w3k5uaq7//KK68gMjISe/fuRVhYGABgwIAByMzMREFBAcaMGaN9UoiIiKjHCYhbhG3V1dWhubnZ674dO3YgNTVVLa4A4NFHH4XNZsOXX36pthUWFqK6uhrPPfec2/HPP/886urq3K42bd%2B%2BHX379lWLKwCIioqCw%2BHA119/jaamJgBAbW0tCgoKMH36dLW4AoCMjAyEhYW5vT8RERHd2gKqwJo1axYiIiJgNBqRlJSEw4cPq/vKy8tx4cIFj1uIAJCQkOD2zFTrv%2BPj493i4uPjodPpPGIfeOABr31euXIFpaWlAIDjx4/j6tWrHn3q9XrY7fZ2n9kiIiKiW09AFFgGgwFpaWn44IMP8M033yA7OxsnTpzAqFGjcOzYMQBARUUFAMBqtXocb7VaUV1drV5tqqioQFBQEKKiotzi9Ho9LBYLysvL1baKiop2%2BwSgxlZUVEBRlHZj2/ZJREREt7aAeAYrMTERiYmJ6uvU1FRMnjwZQ4cOxZIlS7Br1y44nU4AQEhIiMfxRqMRAOB0OqHX6%2BF0OmEwGLy%2Bl9FoVPtqPaa9PkVEje3o/dv2SURERLe2gLiC5c2gQYMwceJEFBYWQkRgMpkAAI2NjR6xDQ0NAKDGmEwmuFwur/02NDSoca2x7fWpKIpbn9d7/7Z9EhER0a0tIK5gtad///5wuVyor69Xb8213ipsq6KiApGRkdDr9QCu3bJrbm5GVVWV223CpqYmXLx4ETExMWqb1Wptt08AaqzVaoWItBvbts/2LFiwQP3txVbTpk3DtGnTOjyWiIiI2peXl4e8vDy3tsuXL/tpNAFeYJ05cwZGoxFmsxlmsxnR0dEoLi72iCsqKoLdbldf2%2B12iAiKi4uRkpKith86dAgtLS0esb/88otHnwcPHkRoaChsNhsAYMiQIQgODkZxcTHS0tLUuKamJpSUlGDKlCkdns/q1au9PlBPREREN8bbBYsjR454/HJadwmIW4TeVmI/duwYvv32WyQnJ6ttkydPxnfffYfz58%2Brbbt370ZpaSkcDofalpSUhMjISHz44YdufX744YcICwvD%2BPHj1ba0tDRUVlZix44dbuPZtm0bJkyYoF4Vi4iIwJgxY5Cbm%2Bu2cvuWLVtQX1/v9v5ERER0awuIK1hTpkyByWTCiBEj0KdPH5w8eRIbNmyA2WzGihUr1LhXXnkF27Ztw%2BjRozF//nzU1tZi1apVuO%2B%2B%2BzBz5kw1zmg0YunSpZg3bx4cDgeSk5Px008/4fPPP8fy5ctx2223qbFpaWlYs2YNZs2ahZMnTyIqKgo5OTloaWnBm2%2B%2B6TbO7OxsjBw5EqNGjUJmZibOnTuH999/H8nJyRg7dqyv00REREQ9REAUWJMmTcLWrVuxevVq1NTUIDo6GmlpaXj99ddx5513qnF33HEH9u7di4ULF2LJkiUwGAxITU3FqlWr1CtNrebOnQuDwYD33nsP3377Lfr37481a9bghRdecIvT6XT4/vvvsWjRIqxbtw5OpxMJCQnYsmUL4uLi3GLvv/9%2BFBQUYPHixVi4cCHCw8MxZ84cLF%2B%2B3HfJISIioh5HERHx9yBudq33gA8fPsxnsIiIfKj1/9u7/2cdQvvGdnxAN7ryn9P4/X9f4M%2BCbuTPn78B8QwWERER0c2EBRYRERGRxlhgEREREWmMBRYRERGRxlhgEREREWmMBRYRERGRxlhgEREREWmMBRYRERGRxgJiJfdbRbrj2p8ECiQREb3wZX4e7rjjDn8PhYiI6KbBAqsbVRus0Ifc1nFgN5GWZpzcvwuFhYWYPn26v4dDRER002CB1Y2siY6A%2BtMNLVddqDq6y9/DICIiuunwGSwiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHA6iKXy4XFixejX79%2BCA0NxfDhw1FQUODvYREREVEAYYHVRTNmzMCaNWswffp0rF27FsHBwRg3bhz279/v76ERERFRgGCB1QVFRUXIz8/HypUrsXLlSjzzzDPYvXs3BgwYgKysLH8Pj64jLy/P30O4pTH//sX8%2B1f1yT3%2BHgL5AQusLti2bRuCg4MxZ84ctS0kJASzZ8/GgQMHcP78eT%2BOjq6HP2D8i/n3L%2Bbfv6p/2%2BPvIZAfsMDqgpKSEthsNpjNZrf2hIQEdT8RERERC6wuqKiogNVq9Wi3Wq0QEZSXl/thVERERBRoWGB1gdPpREhIiEe70WhU9xMREREF%2B3sAPYnJZEJjY6NHe0NDg7rfm9bC6%2BzONQgyeI/xB5EWAMDx48exdetWP4/Gk06nQ0tLiyZ9lZWVaXqOWo5Na4E4trKyMuTl5QXcuFoFYs5aaTE2rec/ELg5%2B/PPPwEAl04fgrPqnJ9Hc42rpgoXTxSi8dJ/AAC///67n0d062jNtV8ugAh12tixY%2BWee%2B7xaN%2B9e7coiiLfffed1%2BNyc3MFADdu3Lhx48bND1tubq6vSwQPvILVBXa7HXv27EFdXZ3bg%2B4HDx6Eoiiw2%2B1ej0tOTkZubi4GDhzY7lUuIiIi0pbT6cTZs2eRnJzc7e%2BtiIh0%2B7v2UEVFRRg%2BfDhWrVqFhQsXAri2svuQIUMQHR2Nffv2%2BXmEREREFAh4BasLEhISkJ6ejiVLlqCyshKxsbHYvHkz/vrrL3z66af%2BHh4REREFCF7B6iKXy4XXXnsNubm5%2BOeffzB06FAsW7YMY8aM8ffQiIiIKECwwCIiIiLSGNfBIiIiItIYCywfcrlcWLx4Mfr164fQ0FAMHz4cBQUF/h5Wj7V3717odDqPLSgoCEVFRW6xp06dQkpKCsLDw2GxWJCRkYGqqiqv/W7atAmDBw%2BGyWSCzWbD%2BvXru%2BN0Al59fT3eeOMNPPbYY7BYLNDpdNiyZYvXWF/k%2B/Lly8jMzESfPn1gNpuRlJSEo0ePanZ%2Bga6z%2BZ81a5bX78XgwYO99sv8d6y4uBjz5s3DkCFDYDabMWDAAEyZMgV//PGHRyznvvY6m/%2BAn/vdvjDELWTq1KliMBhk8eLFsmHDBhk5cqTo9XrZt2%2Bfv4fWI%2B3Zs0cURZEFCxbI1q1b3baLFy%2BqcWVlZRIVFSVxcXGyfv16WbFihURGRsr9998vTU1Nbn1%2B9NFHoiiKOBwO2bhxo8yYMUMURZF33nmnu08v4Jw9e1YURZGBAwdKUlKS6HQ6%2BeyzzzzifJHvlpYWGTFihISHh8vSpUslJydHhgwZIhEREXL69Gmfnneg6Gz%2BZ86cKSaTST7//HO374S3dfmY/85JS0uTmJgYmT9/vmzatEmys7Olb9%2B%2BYjab5eTJk2oc575vdDb/gT73WWD5yK%2B//iqKosj777%2BvtjU0NEhsbKyMHDnSjyPruVoLrO3bt183bu7cuRIWFiZlZWVqW0FBgSiKIhs2bFDbnE6nREVFyYQJE9yOf/rppyU8PFwuXbqk7Qn0MC6XSyorK0VEpLi4WBRF8foD3hf5zs/PF0VRZMeOHWrb33//Lb1795annnpKs3MMZJ3N/8yZMyU8PLzD/pj/zjtw4IBHgfTHH3%2BI0WiU6dOnq22c%2B77R2fwH%2BtxngeUjixYtEr1eL7W1tW7tK1asEJ1O5/aFpM5pW2DV1tbK1atXvcbdfvvtMmXKFI/2u%2B66S8aOHau%2B3rVrl%2Bh0Ovnhhx/c4g4cOCCKosjWrVu1PYEe7Ho/4H2Rb4fDIVar1aPPZ599Vsxms7hcrhs5nR6nMwVWc3Oz1NTUtNsH83/j4uPjZdiwYeprzv3u9d/5D/S5z2ewfKSkpAQ2m81txXfg2lparfvp35k1axYiIiJgNBqRlJSEw4cPq/vKy8tx4cIFDBs2zOO4hIQEt/vorf%2BOj493i4uPj4dOp7ulnnn4t3yV76NHj%2BKBBx7w2ueVK1dQWlqq1SncFK5cuYKIiAj06tULFosF8%2BbNQ319vVsM83/jKisrERUVBYBz3x/a5r9VIM99Flg%2BUlFRAavV6tFutVohIigvL/fDqHo2g8GAtLQ0fPDBB/jmm2%2BQnZ2NEydOYNSoUTh27BiAa3kH0G7uq6ur0dTUpMYGBQV5fGH1ej0sFgs/o07wVb6v9/0BwM%2BmjZiYGGRlZWHz5s344osvMHHiROTk5OCxxx5z%2B2PMzP%2BNyc3Nxfnz5zF16lQAnPvd7b/zDwT%2B3OdK7j7idDoREhLi0W40GtX91DWJiYlITExUX6empmLy5MkYOnQolixZgl27dql57Sj3er0eTqcTBoPB63sZjUZ%2BRp3gq3xf7/sjIvxs2sjOznZ77XA4EBcXh1dffRXbtm2Dw%2BEAAOb/Bpw6dQrz5s3DyJEjkZGRAYBzvzt5yz8Q%2BHOfV7B8xGQyobGx0aO9oaFB3U83btCgQZg4cSIKCwshImpeO5N7k8kEl8vltd%2BGhgZ%2BRp3gq3xf7/ujKAo/mw4sWLAAiqK4LQvD/P87lZWVGD9%2BPHr37o2vvvoKiqIA4NzvLu3lvz2BNPdZYPmI1WpVLyG31doWExPT3UO6afXv3x8ulwv19fXqZdz2ch8ZGQm9Xg/g2mfU3NzssWZNU1MTLl68yM%2BoE3yVb35/bozRaITFYkF1dbXaxvx3XU1NDVJSUlBTU4MffvgBffv2Vfdx7vve9fLfnkCa%2ByywfMRut6O0tBR1dXVu7QcPHoSiKLDb7X4a2c3nzJkzMBqNMJvNiImJQXR0NIqLiz3iioqK3PJut9shIh6xhw4dQktLCz%2BjTvBVvu12O44cOeLR58GDBxEaGgqbzabhWdx86urqUFVVhejoaLWN%2Be%2BaxsZGpKam4vTp09i5cyfuuusut/2c%2B77VUf7bE1Bzv9O/b0hd0roO1nvvvae2NTY2SlxcnIwYMcKPI%2Bu5/v77b4%2B2kpISMRgMMmnSJLXtemvTfPLJJ2qb0%2BkUi8XidW0Us9ks//zzjw/Oomf6t%2Btg/dt85%2Bfni06nc1vzrHUtmieffFLLU%2BsR2st/Q0ODx1IwIteWidHpdPL111%2Brbcx/5zU3N8uECRPEYDB4/Gp/W5z7vtGZ/PeEuc8Cy4ccDocYDAbJysqSTz75REaMGCEGg0F%2B%2BeUXfw%2BtR0pKSpLx48dLdna2bNiwQV566SUJCwuTyMhIOXXqlBp37tw5iY6OltjYWFm3bp0sX75cIiMjxW63e6xhkpOTIzqdTtLT02Xjxo2SkZEhOp1OVq5c2d2nF5DWr18vy5Ytk7lz54qiKDJ58mRZtmyZLFu2TF13xhf5bm5ulsTERImIiJC33npLXU25V69eUlpa2m3n728d5f/s2bPSu3dvee6552Tt2rWydu1aGTdunCiKIuPHj/foj/nvnPnz54uiKDJx4kTJzc312Fpx7vtGZ/LfE%2BY%2BCywfamxslKysLImJiRGTySQPPfSQ/Pjjj/4eVo%2B1bt06GT58uERFRYnBYJB%2B/frJjBkz5MyZMx6xv/32m6SkpIjZbJbIyEjJyMiQCxcueO1348aNcvfdd4vRaJS4uDhZu3atr0%2Blxxg4cKDodDqv219//aXG%2BSLfly5dkjlz5kh0dLSYzWZJSkqSI0eO%2BOQ8A1VH%2Bb906ZJkZGSIzWYTs9ksJpNJ7r33Xnn77bfbXYiX%2Be/Y6NGj2827Tqdzi%2BXc115n8t8T5r4iItL5G4pERERE1BE%2B5E5ERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESksf8DumLYRqvKIwAAAAAASUVORK5CYII%3D\"/>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-481982654833644490\">\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0</td>\n",
+       "        <td class=\"number\">31396</td>\n",
+       "        <td class=\"number\">7.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1900</td>\n",
+       "        <td class=\"number\">11142</td>\n",
+       "        <td class=\"number\">2.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1986</td>\n",
+       "        <td class=\"number\">8093</td>\n",
+       "        <td class=\"number\">1.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1955</td>\n",
+       "        <td class=\"number\">7392</td>\n",
+       "        <td class=\"number\">1.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1950</td>\n",
+       "        <td class=\"number\">7368</td>\n",
+       "        <td class=\"number\">1.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1978</td>\n",
+       "        <td class=\"number\">7079</td>\n",
+       "        <td class=\"number\">1.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1954</td>\n",
+       "        <td class=\"number\">7076</td>\n",
+       "        <td class=\"number\">1.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1983</td>\n",
+       "        <td class=\"number\">6636</td>\n",
+       "        <td class=\"number\">1.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1977</td>\n",
+       "        <td class=\"number\">6535</td>\n",
+       "        <td class=\"number\">1.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1979</td>\n",
+       "        <td class=\"number\">6396</td>\n",
+       "        <td class=\"number\">1.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (153)</td>\n",
+       "        <td class=\"number\">328649</td>\n",
+       "        <td class=\"number\">76.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-481982654833644490\">\n",
+       "            <p class=\"h4\">Minimum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0</td>\n",
+       "        <td class=\"number\">31396</td>\n",
+       "        <td class=\"number\">7.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1843</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1847</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1850</td>\n",
+       "        <td class=\"number\">4</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1851</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "            <p class=\"h4\">Maximum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2010</td>\n",
+       "        <td class=\"number\">961</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:54%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2011</td>\n",
+       "        <td class=\"number\">1033</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:58%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2012</td>\n",
+       "        <td class=\"number\">1413</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:79%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2013</td>\n",
+       "        <td class=\"number\">1792</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2014</td>\n",
+       "        <td class=\"number\">26</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">ZIP<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>78</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-3216499225510799970\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>00000</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 3.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        13290\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>55406</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 3.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        13112\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>55369</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 3.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        13043\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (75)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 90.8%\">\n",
+       "            388317\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-3216499225510799970, #minifreqtable-3216499225510799970\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-3216499225510799970\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">00000</td>\n",
+       "        <td class=\"number\">13290</td>\n",
+       "        <td class=\"number\">3.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">55406</td>\n",
+       "        <td class=\"number\">13112</td>\n",
+       "        <td class=\"number\">3.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">55369</td>\n",
+       "        <td class=\"number\">13043</td>\n",
+       "        <td class=\"number\">3.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">55311</td>\n",
+       "        <td class=\"number\">12864</td>\n",
+       "        <td class=\"number\">3.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">55416</td>\n",
+       "        <td class=\"number\">12438</td>\n",
+       "        <td class=\"number\">2.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">55423</td>\n",
+       "        <td class=\"number\">11967</td>\n",
+       "        <td class=\"number\">2.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">55418</td>\n",
+       "        <td class=\"number\">11595</td>\n",
+       "        <td class=\"number\">2.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">55407</td>\n",
+       "        <td class=\"number\">11524</td>\n",
+       "        <td class=\"number\">2.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">55347</td>\n",
+       "        <td class=\"number\">11326</td>\n",
+       "        <td class=\"number\">2.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">55422</td>\n",
+       "        <td class=\"number\">10952</td>\n",
+       "        <td class=\"number\">2.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (68)</td>\n",
+       "        <td class=\"number\">305651</td>\n",
+       "        <td class=\"number\">71.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>ZIP4</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td></td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div>\n",
+       "    <div class=\"row headerrow highlight\">\n",
+       "        <h1>Sample</h1>\n",
+       "    </div>\n",
+       "    <div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
+       "        <table border=\"1\" class=\"dataframe sample\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ACRES_DEED</th>\n",
+       "      <th>ACRES_POLY</th>\n",
+       "      <th>AGPRE_ENRD</th>\n",
+       "      <th>AGPRE_EXPD</th>\n",
+       "      <th>AG_PRESERV</th>\n",
+       "      <th>BASEMENT</th>\n",
+       "      <th>BLDG_NUM</th>\n",
+       "      <th>BLOCK</th>\n",
+       "      <th>CITY</th>\n",
+       "      <th>CITY_USPS</th>\n",
+       "      <th>COOLING</th>\n",
+       "      <th>COUNTY_ID</th>\n",
+       "      <th>DWELL_TYPE</th>\n",
+       "      <th>EMV_BLDG</th>\n",
+       "      <th>EMV_LAND</th>\n",
+       "      <th>EMV_TOTAL</th>\n",
+       "      <th>FIN_SQ_FT</th>\n",
+       "      <th>GARAGE</th>\n",
+       "      <th>GARAGESQFT</th>\n",
+       "      <th>GREEN_ACRE</th>\n",
+       "      <th>HEATING</th>\n",
+       "      <th>HOMESTEAD</th>\n",
+       "      <th>HOME_STYLE</th>\n",
+       "      <th>LANDMARK</th>\n",
+       "      <th>LOT</th>\n",
+       "      <th>MULTI_USES</th>\n",
+       "      <th>NUM_UNITS</th>\n",
+       "      <th>OPEN_SPACE</th>\n",
+       "      <th>OWNER_MORE</th>\n",
+       "      <th>OWN_ADD_L1</th>\n",
+       "      <th>OWN_ADD_L2</th>\n",
+       "      <th>OWN_ADD_L3</th>\n",
+       "      <th>PARC_CODE</th>\n",
+       "      <th>PLAT_NAME</th>\n",
+       "      <th>PREFIXTYPE</th>\n",
+       "      <th>PREFIX_DIR</th>\n",
+       "      <th>SALE_DATE</th>\n",
+       "      <th>SALE_VALUE</th>\n",
+       "      <th>SCHOOL_DST</th>\n",
+       "      <th>SPEC_ASSES</th>\n",
+       "      <th>STREETNAME</th>\n",
+       "      <th>STREETTYPE</th>\n",
+       "      <th>SUFFIX_DIR</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>Shape_Le_1</th>\n",
+       "      <th>Shape_Leng</th>\n",
+       "      <th>TAX_ADD_L2</th>\n",
+       "      <th>TAX_ADD_L3</th>\n",
+       "      <th>TAX_CAPAC</th>\n",
+       "      <th>TAX_EXEMPT</th>\n",
+       "      <th>TORRENS</th>\n",
+       "      <th>TOTAL_TAX</th>\n",
+       "      <th>UNIT_INFO</th>\n",
+       "      <th>USE1_DESC</th>\n",
+       "      <th>USE2_DESC</th>\n",
+       "      <th>USE3_DESC</th>\n",
+       "      <th>USE4_DESC</th>\n",
+       "      <th>WSHD_DIST</th>\n",
+       "      <th>XUSE1_DESC</th>\n",
+       "      <th>XUSE2_DESC</th>\n",
+       "      <th>XUSE3_DESC</th>\n",
+       "      <th>XUSE4_DESC</th>\n",
+       "      <th>YEAR_BUILT</th>\n",
+       "      <th>ZIP</th>\n",
+       "      <th>ZIP4</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>PIN</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",
+       "      <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",
+       "      <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",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>053-0102724110003</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.83</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2901</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>BLOOMINGTON</td>\n",
+       "      <td>BLOOMINGTON</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>053</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>393500.0</td>\n",
+       "      <td>1347400.0</td>\n",
+       "      <td>1740900.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>UNPLATTED 01 027 24</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2005-05-01</td>\n",
+       "      <td>925000.0</td>\n",
+       "      <td>271</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>78TH ST E</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7416.662441</td>\n",
+       "      <td>395.645416</td>\n",
+       "      <td>1298.619232</td>\n",
+       "      <td>BLOOMINGTON MN   55425</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>34068.0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>T</td>\n",
+       "      <td>72207.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Industrial</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Lower Minnesota River</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1965</td>\n",
+       "      <td>55425</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>053-0102724110004</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7800</td>\n",
+       "      <td>001</td>\n",
+       "      <td>BLOOMINGTON</td>\n",
+       "      <td>BLOOMINGTON</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>053</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>160500.0</td>\n",
+       "      <td>1406000.0</td>\n",
+       "      <td>1566500.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>001</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>METRO OFFICE PARK</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1980-02-01</td>\n",
+       "      <td>1950000.0</td>\n",
+       "      <td>271</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>METRO PKWY</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7676.706709</td>\n",
+       "      <td>422.894044</td>\n",
+       "      <td>1388.057469</td>\n",
+       "      <td>BLOOMINGTON MN   55425</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>30580.0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>T</td>\n",
+       "      <td>64822.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Commercial</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Lower Minnesota River</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1968</td>\n",
+       "      <td>55425</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>053-0102724110005</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.58</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7850</td>\n",
+       "      <td>001</td>\n",
+       "      <td>BLOOMINGTON</td>\n",
+       "      <td>BLOOMINGTON</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>053</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>745200.0</td>\n",
+       "      <td>1172000.0</td>\n",
+       "      <td>1917200.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>002</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>METRO OFFICE PARK</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2006-08-01</td>\n",
+       "      <td>23000000.0</td>\n",
+       "      <td>271</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>METRO PKWY</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6399.614332</td>\n",
+       "      <td>426.557685</td>\n",
+       "      <td>1400.082610</td>\n",
+       "      <td>BLOOMINGTON MN   55439</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>38344.0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>B</td>\n",
+       "      <td>81185.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Commercial</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Lower Minnesota River</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1968</td>\n",
+       "      <td>55425</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>053-0102724110006</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2950</td>\n",
+       "      <td>001</td>\n",
+       "      <td>BLOOMINGTON</td>\n",
+       "      <td>BLOOMINGTON</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>053</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>560100.0</td>\n",
+       "      <td>1315800.0</td>\n",
+       "      <td>1875900.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>003</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>METRO OFFICE PARK</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>271</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>METRO DR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7184.857320</td>\n",
+       "      <td>421.502025</td>\n",
+       "      <td>1383.510634</td>\n",
+       "      <td>BLOOMINGTON MN   55439</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>37518.0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>B</td>\n",
+       "      <td>79436.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Commercial</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Lower Minnesota River</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1969</td>\n",
+       "      <td>55425</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>053-0102724110008</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.90</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7801</td>\n",
+       "      <td>001</td>\n",
+       "      <td>BLOOMINGTON</td>\n",
+       "      <td>BLOOMINGTON</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>053</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>509000.0</td>\n",
+       "      <td>1406400.0</td>\n",
+       "      <td>1915400.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>001</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>METRO OFFICE PARK 2ND ADDN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>271</td>\n",
+       "      <td>3074.0</td>\n",
+       "      <td>METRO PKWY</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7681.696608</td>\n",
+       "      <td>422.989308</td>\n",
+       "      <td>1388.369487</td>\n",
+       "      <td>BLOOMINGTON  MN   55439</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>38308.0</td>\n",
+       "      <td>N</td>\n",
+       "      <td>T</td>\n",
+       "      <td>84182.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Commercial</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Lower Minnesota River</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1969</td>\n",
+       "      <td>55425</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<pandas_profiling.ProfileReport at 0x1e9374e6630>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import pandas_profiling\n",
     "\n",
@@ -704,11 +10180,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:01:23.054407",
-     "start_time": "2017-01-20T16:01:22.837258"
+     "end_time": "2017-02-08T09:14:09.773774",
+     "start_time": "2017-02-08T09:14:09.575882"
     },
     "collapsed": true
    },
@@ -730,15 +10206,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:01:39.005945",
-     "start_time": "2017-01-20T16:01:23.055408"
+     "end_time": "2017-02-08T09:14:20.512968",
+     "start_time": "2017-02-08T09:14:09.776777"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1e938d27e80>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import missingno as msno\n",
     "\n",
@@ -754,11 +10241,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:01:39.020958",
-     "start_time": "2017-01-20T16:01:39.008948"
+     "end_time": "2017-02-08T09:14:20.523477",
+     "start_time": "2017-02-08T09:14:20.515469"
     },
     "collapsed": true
    },
@@ -777,11 +10264,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:01:39.458220",
-     "start_time": "2017-01-20T16:01:39.023958"
+     "end_time": "2017-02-08T09:14:21.417227",
+     "start_time": "2017-02-08T09:14:20.525983"
     },
     "collapsed": false,
     "scrolled": true
@@ -806,11 +10293,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:14:21.425736",
+     "start_time": "2017-02-08T09:14:21.419734"
+    },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(427762, 47)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "hennepin.shape"
    ]
@@ -838,11 +10340,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:01:41.149378",
-     "start_time": "2017-01-20T16:01:39.462223"
+     "end_time": "2017-02-08T09:14:22.647028",
+     "start_time": "2017-02-08T09:14:21.427737"
     },
     "collapsed": false
    },
@@ -863,11 +10365,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:01:41.249445",
-     "start_time": "2017-01-20T16:01:41.154383"
+     "end_time": "2017-02-08T09:14:22.708957",
+     "start_time": "2017-02-08T09:14:22.649033"
     },
     "collapsed": false
    },
@@ -879,15 +10381,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:07:01.111873",
-     "start_time": "2017-01-20T16:07:01.106870"
+     "end_time": "2017-02-08T09:14:22.716970",
+     "start_time": "2017-02-08T09:14:22.710458"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(129889, 47)"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "mpls.shape"
    ]
@@ -924,11 +10437,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:10:04.330197",
-     "start_time": "2017-01-20T16:10:02.342839"
+     "end_time": "2017-02-08T09:14:24.359452",
+     "start_time": "2017-02-08T09:14:22.720979"
     },
     "collapsed": false
    },
@@ -941,15 +10454,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:10:04.342204",
-     "start_time": "2017-01-20T16:10:04.332199"
+     "end_time": "2017-02-08T09:14:24.374462",
+     "start_time": "2017-02-08T09:14:24.361454"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
+      "RangeIndex: 2349 entries, 0 to 2348\n",
+      "Data columns (total 8 columns):\n",
+      "ALT_NAME      210 non-null object\n",
+      "AREA_ACRES    2349 non-null float64\n",
+      "NAME_DNR      1588 non-null object\n",
+      "OWF_ID        2349 non-null object\n",
+      "SYSTEM        2349 non-null object\n",
+      "Shape_Area    2349 non-null float64\n",
+      "Shape_Leng    2349 non-null float64\n",
+      "geometry      2349 non-null object\n",
+      "dtypes: float64(3), object(5)\n",
+      "memory usage: 146.9+ KB\n"
+     ]
+    }
+   ],
    "source": [
     "water_df.info()"
    ]
@@ -963,11 +10496,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:10:04.383232",
-     "start_time": "2017-01-20T16:10:04.346208"
+     "end_time": "2017-02-08T09:14:24.412919",
+     "start_time": "2017-02-08T09:14:24.377464"
     },
     "collapsed": false
    },
@@ -985,11 +10518,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:14:38.691765",
+     "start_time": "2017-02-08T09:14:24.415921"
+    },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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b19MtS07WfdxpaWnFggVzUalUPH78mGrVatCyZRNsbS0YPnxQltp7/vw5T57E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Fq2VAQxrFy5TvoDJ4Hz589y/vxZ6tSxYvXqDUp/BAqyByLoQCDIJHLnzs3Jk+e5dOlGphpr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\nmZOCTQghhBCimfv/zUiYuOFKDo4AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1e9371e22e8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "water_df.plot()\n",
     "plt.show()"
@@ -1004,15 +10552,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-20T16:10:09.043425",
-     "start_time": "2017-01-20T16:10:04.386234"
+     "end_time": "2017-02-08T09:14:39.249762",
+     "start_time": "2017-02-08T09:14:38.694268"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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rr9uC/bi4ONt1euXKlRw+fJj777+fdu3a2bk3IvJVLRfwFBcXU1RURGpqKkeP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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1e943624828>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "msno.matrix(water_df)"
    ]
@@ -1051,15 +10610,84 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:57:26.022851",
-     "start_time": "2017-01-21T07:57:25.991810"
+     "end_time": "2017-02-08T09:14:39.280799",
+     "start_time": "2017-02-08T09:14:39.251763"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ALT_NAME</th>\n",
+       "      <th>AREA_ACRES</th>\n",
+       "      <th>NAME_DNR</th>\n",
+       "      <th>SYSTEM</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>Shape_Leng</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>OWF_ID</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>27003900</th>\n",
+       "      <td>None</td>\n",
+       "      <td>168.41</td>\n",
+       "      <td>Cedar</td>\n",
+       "      <td>Lake</td>\n",
+       "      <td>6.815421e+05</td>\n",
+       "      <td>4803.870607</td>\n",
+       "      <td>POLYGON ((474663.9454 4979190.5593, 474684.879...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70009100</th>\n",
+       "      <td>None</td>\n",
+       "      <td>793.48</td>\n",
+       "      <td>Cedar</td>\n",
+       "      <td>Lake</td>\n",
+       "      <td>3.211136e+06</td>\n",
+       "      <td>11307.426102</td>\n",
+       "      <td>POLYGON ((458834.4773 4938960.6654, 458842.693...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         ALT_NAME  AREA_ACRES NAME_DNR SYSTEM    Shape_Area    Shape_Leng  \\\n",
+       "OWF_ID                                                                      \n",
+       "27003900     None      168.41    Cedar   Lake  6.815421e+05   4803.870607   \n",
+       "70009100     None      793.48    Cedar   Lake  3.211136e+06  11307.426102   \n",
+       "\n",
+       "                                                   geometry  \n",
+       "OWF_ID                                                       \n",
+       "27003900  POLYGON ((474663.9454 4979190.5593, 474684.879...  \n",
+       "70009100  POLYGON ((458834.4773 4938960.6654, 458842.693...  "
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# cedar lake\n",
     "cedar_lake = water_df[water_df['NAME_DNR'] == 'Cedar']\n",
@@ -1077,30 +10705,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:53:11.505440",
-     "start_time": "2017-01-21T07:53:11.497454"
+     "end_time": "2017-02-08T09:14:39.302314",
+     "start_time": "2017-02-08T09:14:39.282300"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": [
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+      ],
+      "text/plain": [
+       "<shapely.geometry.polygon.Polygon at 0x1e939021358>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cedar_lake['geometry'].iloc[0]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:53:13.967159",
-     "start_time": "2017-01-21T07:53:13.953265"
+     "end_time": "2017-02-08T09:14:39.346383",
+     "start_time": "2017-02-08T09:14:39.305316"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": [
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+      ],
+      "text/plain": [
+       "<shapely.geometry.polygon.Polygon at 0x1e93913e048>"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cedar_lake['geometry'].iloc[1]"
    ]
@@ -1114,11 +10770,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:57:35.953728",
-     "start_time": "2017-01-21T07:57:35.949725"
+     "end_time": "2017-02-08T09:14:39.377219",
+     "start_time": "2017-02-08T09:14:39.348887"
     },
     "collapsed": false
    },
@@ -1129,15 +10785,72 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:57:37.630142",
-     "start_time": "2017-01-21T07:57:37.608105"
+     "end_time": "2017-02-08T09:14:39.435753",
+     "start_time": "2017-02-08T09:14:39.380224"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ALT_NAME</th>\n",
+       "      <th>AREA_ACRES</th>\n",
+       "      <th>NAME_DNR</th>\n",
+       "      <th>SYSTEM</th>\n",
+       "      <th>Shape_Area</th>\n",
+       "      <th>Shape_Leng</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>OWF_ID</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>27003900</th>\n",
+       "      <td>None</td>\n",
+       "      <td>168.41</td>\n",
+       "      <td>Cedar</td>\n",
+       "      <td>Lake</td>\n",
+       "      <td>681542.105331</td>\n",
+       "      <td>4803.870607</td>\n",
+       "      <td>POLYGON ((474663.9454 4979190.5593, 474684.879...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         ALT_NAME  AREA_ACRES NAME_DNR SYSTEM     Shape_Area   Shape_Leng  \\\n",
+       "OWF_ID                                                                      \n",
+       "27003900     None      168.41    Cedar   Lake  681542.105331  4803.870607   \n",
+       "\n",
+       "                                                   geometry  \n",
+       "OWF_ID                                                       \n",
+       "27003900  POLYGON ((474663.9454 4979190.5593, 474684.879...  "
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cedar_lake"
    ]
@@ -1153,15 +10866,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:58:47.356314",
-     "start_time": "2017-01-21T07:58:47.030318"
+     "end_time": "2017-02-08T09:14:39.718098",
+     "start_time": "2017-02-08T09:14:39.438922"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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aPf9wf/78zgN0ig3kgan3smHDN7aukk2IkBcsIkkSyDg8zVBVF1IaceO12Vxd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\nXpIkyYrJkJckSbJi/x+vtB8y8XD3jAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1e943b7f080>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "buffered_cedar_lake = cedar_lake.buffer(100)\n",
     "ax = cedar_lake.plot(color='red')\n",
@@ -1179,11 +10903,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:58:47.361317",
-     "start_time": "2017-01-21T07:58:47.358315"
+     "end_time": "2017-02-08T09:14:39.725104",
+     "start_time": "2017-02-08T09:14:39.721099"
     },
     "collapsed": false
    },
@@ -1203,11 +10927,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 34,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:58:47.398821",
-     "start_time": "2017-01-21T07:58:47.363284"
+     "end_time": "2017-02-08T09:14:51.817901",
+     "start_time": "2017-02-08T09:14:39.727610"
     },
     "collapsed": true
    },
@@ -1238,15 +10962,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 35,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:58:47.444260",
-     "start_time": "2017-01-21T07:58:47.401323"
+     "end_time": "2017-02-08T09:14:51.827398",
+     "start_time": "2017-02-08T09:14:51.820385"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(474116.7938611487, 4977740.731593291, 475191.1664816106, 4979300.6081)"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "cedar_bb = buffered_cedar_poly.bounds\n",
     "cedar_bb"
@@ -1261,11 +10996,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 36,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:14:52.107841",
+     "start_time": "2017-02-08T09:14:51.829900"
+    },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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TF61SfvYgIeG9cHXzUDqKEIpJH3k3Ub37c/Cf8zA31Ssd56qk5EWr1JTmER7d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\n8kII4cL+H1qR6NDKnHYMAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1e943b8eef0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "from shapely.geometry import box\n",
     "from descartes import PolygonPatch\n",
@@ -1295,11 +11045,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 37,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:58:47.489807",
-     "start_time": "2017-01-21T07:58:47.446762"
+     "end_time": "2017-02-08T09:14:52.116337",
+     "start_time": "2017-02-08T09:14:52.110330"
     },
     "collapsed": true
    },
@@ -1322,15 +11072,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:58:47.544730",
-     "start_time": "2017-01-21T07:58:47.491808"
+     "end_time": "2017-02-08T09:14:52.173899",
+     "start_time": "2017-02-08T09:14:52.122845"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(457, 47)"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "possible_matches = mpls.iloc[possible_matches_index]\n",
     "possible_matches.shape"
@@ -1347,15 +11108,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:58:47.677707",
-     "start_time": "2017-01-21T07:58:47.546731"
+     "end_time": "2017-02-08T09:14:52.301515",
+     "start_time": "2017-02-08T09:14:52.176901"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(208, 47)"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "precise_matches = possible_matches[possible_matches.intersects(buffered_cedar_poly)]\n",
     "precise_matches.shape"
@@ -1370,15 +11142,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 40,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T07:58:48.784796",
-     "start_time": "2017-01-21T07:58:47.680209"
+     "end_time": "2017-02-08T09:14:53.608561",
+     "start_time": "2017-02-08T09:14:52.308019"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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ExDBlyhQ++ugjPDw8WLt2LVOmTOHAgQMAHDt2jPXr17N8+XLMzMyYPXs2y5cv5/PPPy/G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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1e943bbd9e8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "precise_matches.plot()\n",
     "plt.show()"
@@ -1396,11 +11179,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 41,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T08:00:39.986749",
-     "start_time": "2017-01-21T08:00:39.176599"
+     "end_time": "2017-02-08T09:14:53.620070",
+     "start_time": "2017-02-08T09:14:53.611063"
     },
     "collapsed": false
    },
@@ -1429,11 +11212,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T08:00:40.446475",
-     "start_time": "2017-01-21T08:00:39.988750"
+     "end_time": "2017-02-08T09:14:54.059436",
+     "start_time": "2017-02-08T09:14:53.623072"
     },
     "collapsed": false
    },
@@ -1445,46 +11228,2909 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 43,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T08:00:40.649035",
-     "start_time": "2017-01-21T08:00:40.565520"
+     "end_time": "2017-02-08T09:14:54.157503",
+     "start_time": "2017-02-08T09:14:54.064439"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 29531 entries, 0 to 29530\n",
+      "Data columns (total 20 columns):\n",
+      "analysisDate          29531 non-null datetime64[ns]\n",
+      "collectingOrg         29531 non-null object\n",
+      "comments              56 non-null object\n",
+      "county                29531 non-null object\n",
+      "gtlt                  1035 non-null object\n",
+      "parameter             29531 non-null object\n",
+      "result                29443 non-null object\n",
+      "resultUnit            29393 non-null object\n",
+      "sampleDate            29531 non-null datetime64[ns]\n",
+      "sampleTime            29531 non-null object\n",
+      "sampleDepthUnit       29531 non-null object\n",
+      "sampleFractionType    29531 non-null object\n",
+      "sampleLowerDepth      2525 non-null float64\n",
+      "sampleType            29531 non-null object\n",
+      "sampleUpperDepth      29523 non-null float64\n",
+      "stationId             29531 non-null object\n",
+      "stationName           29531 non-null object\n",
+      "statisticType         1 non-null object\n",
+      "testMethodId          29531 non-null object\n",
+      "testMethodName        29531 non-null object\n",
+      "dtypes: datetime64[ns](2), float64(2), object(16)\n",
+      "memory usage: 4.5+ MB\n"
+     ]
+    }
+   ],
    "source": [
     "lake_qual.info()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T08:00:42.223284",
-     "start_time": "2017-01-21T08:00:40.651537"
+     "end_time": "2017-02-08T09:14:55.222287",
+     "start_time": "2017-02-08T09:14:54.162006"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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dw8/Pj8cee4ynnnqKkSNHtruvzqpt+/Zz585x4sQJLly4gM1mw8vLC4CEhAS8vLxIT09n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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1e945627898>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "msno.matrix(lake_qual)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 45,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T08:00:55.905498",
-     "start_time": "2017-01-21T08:00:42.226784"
+     "end_time": "2017-02-08T09:15:05.027226",
+     "start_time": "2017-02-08T09:14:55.224776"
     },
     "collapsed": false,
     "scrolled": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<meta charset=\"UTF-8\">\n",
+       "\n",
+       "<style>\n",
+       "\n",
+       "        .variablerow {\n",
+       "            border: 1px solid #e1e1e8;\n",
+       "            border-top: hidden;\n",
+       "            padding-top: 2em;\n",
+       "            padding-bottom: 2em;\n",
+       "            padding-left: 1em;\n",
+       "            padding-right: 1em;\n",
+       "        }\n",
+       "\n",
+       "        .headerrow {\n",
+       "            border: 1px solid #e1e1e8;\n",
+       "            background-color: #f5f5f5;\n",
+       "            padding: 2em;\n",
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+       "        .namecol {\n",
+       "            margin-top: -1em;\n",
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+       "\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",
+       "        .ignore {\n",
+       "            opacity: 0.4;\n",
+       "        }\n",
+       "\n",
+       "        .container.pandas-profiling {\n",
+       "            max-width:975px;\n",
+       "        }\n",
+       "\n",
+       "        .col-md-12 {\n",
+       "            padding-left: 2em;\n",
+       "        }\n",
+       "\n",
+       "        .indent {\n",
+       "            margin-left: 1em;\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",
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+       "            table.stats {\n",
+       "                border: 0;\n",
+       "            }\n",
+       "\n",
+       "            .stats th {\n",
+       "                border: 0;\n",
+       "                padding: 0 2em 0 0;\n",
+       "                color: #555;\n",
+       "                font-weight: 600;\n",
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+       "\n",
+       "            .stats tr {\n",
+       "                border: 0;\n",
+       "            }\n",
+       "\n",
+       "            .stats tr:hover{\n",
+       "                text-decoration: underline;\n",
+       "            }\n",
+       "\n",
+       "            .stats td{\n",
+       "                color: #555;\n",
+       "                padding: 1px;\n",
+       "                border: 0;\n",
+       "            }\n",
+       "\n",
+       "\n",
+       "        /* Sample table */\n",
+       "            table.sample {\n",
+       "                border: 0;\n",
+       "                margin-bottom: 2em;\n",
+       "                margin-left:1em;\n",
+       "            }\n",
+       "            .sample tr {\n",
+       "                border:0;\n",
+       "            }\n",
+       "            .sample td, .sample th{\n",
+       "                padding: 0.5em;\n",
+       "                white-space: nowrap;\n",
+       "                border: none;\n",
+       "\n",
+       "            }\n",
+       "\n",
+       "            .sample thead {\n",
+       "                border-top: 0;\n",
+       "                border-bottom: 2px solid #ddd;\n",
+       "            }\n",
+       "\n",
+       "            .sample 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",
+       "        /* Freq table */\n",
+       "\n",
+       "            table.freq {\n",
+       "                margin-bottom: 2em;\n",
+       "                border: 0;\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",
+       "            td.fillremaining{\n",
+       "                width:auto;\n",
+       "                max-width: none;\n",
+       "            }\n",
+       "\n",
+       "            td.number, th.number {\n",
+       "                text-align:right ;\n",
+       "            }\n",
+       "\n",
+       "        /* Freq mini */\n",
+       "            .freq.mini td{\n",
+       "                width: 50%;\n",
+       "                padding: 1px;\n",
+       "                font-size: 12px;\n",
+       "\n",
+       "            }\n",
+       "            table.freq.mini {\n",
+       "                 width:100%;\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",
+       "            .missing {\n",
+       "                color: #a94442;\n",
+       "            }\n",
+       "            .alert, .alert > th, .alert > td {\n",
+       "                color: #a94442;\n",
+       "            }\n",
+       "\n",
+       "\n",
+       "        /* Bars in tables */\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",
+       "            .other .bar {\n",
+       "                background-color: #999;\n",
+       "            }\n",
+       "            .missing .bar{\n",
+       "                background-color: #a94442;\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",
+       "</style>\n",
+       "\n",
+       "<div class=\"container pandas-profiling\">\n",
+       "    <div class=\"row headerrow highlight\">\n",
+       "        <h1>Overview</h1>\n",
+       "    </div>\n",
+       "    <div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-6 namecol\">\n",
+       "        <p class=\"h4\">Dataset info</p>\n",
+       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
+       "            <tbody>\n",
+       "            <tr>\n",
+       "                <th>Number of variables</th>\n",
+       "                <td>20 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Number of observations</th>\n",
+       "                <td>29531 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Total Missing (%)</th>\n",
+       "                <td>19.4% </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Total size in memory</th>\n",
+       "                <td>4.5 MiB </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Average record size in memory</th>\n",
+       "                <td>160.0 B </td>\n",
+       "            </tr>\n",
+       "            </tbody>\n",
+       "        </table>\n",
+       "    </div>\n",
+       "    <div class=\"col-md-6 namecol\">\n",
+       "        <p class=\"h4\">Variables types</p>\n",
+       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
+       "            <tbody>\n",
+       "            <tr>\n",
+       "                <th>Numeric</th>\n",
+       "                <td>2 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Categorical</th>\n",
+       "                <td>12 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Date</th>\n",
+       "                <td>2 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Text (Unique)</th>\n",
+       "                <td>0 </td>\n",
+       "            </tr>\n",
+       "            <tr>\n",
+       "                <th>Rejected</th>\n",
+       "                <td>4 </td>\n",
+       "            </tr>\n",
+       "            </tbody>\n",
+       "        </table>\n",
+       "    </div>\n",
+       "    <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n",
+       "        <p class=\"h4\">Warnings</p>\n",
+       "        <ul class=\"list-unstyled\"><li><code>comments</code> has 29475 / 99.8% missing values <span class=\"label label-default\">Missing</span></l><li><code>county</code> has constant value Hennepin <span class=\"label label-primary\">Rejected</span></l><li><code>gtlt</code> has 28496 / 96.5% missing values <span class=\"label label-default\">Missing</span></l><li><code>parameter</code> has a high cardinality: 56 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>result</code> has a high cardinality: 6005 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>sampleDepthUnit</code> has constant value m <span class=\"label label-primary\">Rejected</span></l><li><code>sampleLowerDepth</code> has 27006 / 91.4% missing values <span class=\"label label-default\">Missing</span></l><li><code>sampleTime</code> has a high cardinality: 386 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>sampleUpperDepth</code> has 4698 / 15.9% zeros</l><li><code>stationId</code> has constant value 27-0039-00-202 <span class=\"label label-primary\">Rejected</span></l><li><code>stationName</code> has constant value CEDAR <span class=\"label label-primary\">Rejected</span></l><li><code>statisticType</code> has 29530 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>testMethodId</code> has a high cardinality: 53 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>testMethodName</code> has a high cardinality: 53 distinct values  <span class=\"label label-warning\">Warning</span></l><li>Dataset has 123 duplicate rows <span class=\"label label-warning\">Warning</span></l> </ul>\n",
+       "    </div>\n",
+       "</div>\n",
+       "    <div class=\"row headerrow highlight\">\n",
+       "        <h1>Variables</h1>\n",
+       "    </div>\n",
+       "    <div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">analysisDate<br/>\n",
+       "            <small>Date</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>533</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>1.8%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>1901-01-01 00:00:00</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>2015-10-26 00:00:00</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram5147220189367271307\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABlZJREFUeJzt3V9MU1ccB/AviI4yjAkQgkktbaSFDlr5Y6LJNPZlEveggKiR%2BMITiS/ETLcXY4YPPBGN0UQTwgupickg/nlBa5SxJkZTZWKmRiehVFDQO6IL2AIdvz0Q70Z0Zy2mvVS%2Bn%2BQk9J57es/l3G/bc2/hQgzg9XoFAAtLXMXr9Sb9WM2AAaxWKwDA6/XC6XQuqDt06BBOnjxpQK8o0V6%2BfIm63fWYmY4sqv374yaZDAmIyWQCADidTlRWVi6oW7NmzQfL6PPQ39%2BPmekIrDuPQPu1B%2Bu%2BaYqp3ZtnAbz8pVM/bpLJkIDQ8mbKs2BF5pfIKiiKaf2w9jzBPfpv6YZtmSgFMCBECksuIPv37ze6C5QEOV95jO5CTBgQMkROqcfoLsSEk3RalFAoBE3T4mrz%2BPHjBPUmcRgQilsoFEJxiROR8Duju5JwDAjFTdM0RMLvYN15BKY8S8zt3l/PSCUMCC2aKc8S87UMwNjrGYu15CbpREsJA0KkwIAQKTAgRAoMCJECA0KkwIAQKTAgRAoMCJECA0KkwIAQKRj6XayjR48iNzc3rjbNzc3YuHFjgnpEtJChAfH/%2BjtWfDES8/pTr4J4%2B/Ytrly5ksBeEf3D0ICs%2B7Y5rm%2BDPvvpx8R1hugjOAchUmBAiBQYECIFBoRIgQEhUmBAiBQYECIFBoRIgQEhUmBAiBQYECIFBoRIgQEhUmBAiBQYECIF/nf3ZW653AhnsRiQZWw53QhnsZZcQCYe/pwy969LdUbeCCdVxnnpBeRRavziPidG3AgnVcaZk3QiBQaESGHJfcSixeHZqMQwJCDhcBgA8LTzO6SlL3wT%2B2t2BgNttR9tF52dwZuCr3H%2B/Pm4t5meno65ubnPsp2maTjy/Q%2BYnZmOe3vA/KQ7nnnF5POHn9xu5k8Nf/zWG1e798dNUokBvF6vAGBhiat4vd6kH6tpIiJIMk3TcO3aNVitVphMpmRvnlJMOBxGMBhEdXU18vLykrptQwJClCp4FotIgQEhUkhoQJqbm2Gz2ZCeno4HDx7oywOBALZs2YLy8nJUVlait7dXrwuHw2hoaIDdbkdJSQm6u7sXPGd3dzfcbjdcLhfcbjdCoVAid4FiMD09jdraWpSUlKCiogLV1dUYHBwEALx%2B/Ro7duyAw%2BGA2%2B2G3%2B/X26XEWCfyDIDf75fR0VGx2WwyMDCgLzebzXLz5k0REXn69KlYLBaJRCIiInL8%2BHFpbGwUEZGhoSHJz8%2BXiYkJERHp7%2B8Xp9MpY2NjIiIyOTkp4XA4kbtAMYhEItLT06M/PnPmjHg8HhERaWxslJaWFhERCQQCYjabJRqNikhqjHVSTvNarVY9IJqmSWZm5oJ6t9stFy9eFBGR0tJSuXPnjl63d%2B9e6ejoEBGRAwcOSHt7ezK6TJ/g7t27YrPZREQkOztbxsfH9bpNmzbJjRs3RCQ1xjrpc5Dc3FysXbsWXV1dAOY/bj158gTBYBDA/BXhwsJCfX2r1aq/tT569AjDw8PweDyoqqrCsWPHIDwJt%2BScOnUKNTU1mJiYQDQaRX5%2Bvl5XWFioj2cqjLUhk/TLly%2Bjo6MDVVVVOH36NLZu3YqMjP%2B/qB%2BNRnH//n34fD74/X7cunULZ8%2BeTUKPKVatra0YHBxEa2vrJz3PUhlrQwLicrnQ09ODe/fuobOzE6OjoygrKwMw/wozPDysrxsMBmGxzP%2BtgsViwe7du7Fq1SpkZWWhrq4Ot2/fNmIX6CPa2tpw6dIlXL16FZmZmcjJyUFGRgZevXqlr/Pv8UyFsTYkIGNjY/rP7e3tyM7OhsfjAQDU19fj3LlzAIChoSH09fWhpqYGANDQ0ACfzwcRQTQahc/nw4YNG5Lef/rQiRMncOHCBVy/fh2rV6/Wl%2B/Zs0d/5Q8EAnjx4gW2bdsGIEXGOpETnKamJjGbzbJy5UopKCgQu90uIiItLS3icDjE4XDIrl27ZGRkRG8zNTUl%2B/btk/Xr10txcbF0dXXpdXNzc3L48GFxOp3icrnk4MGDMjs7m8hdoBiMjIxIWlqaFBUVSUVFhZSXl8vmzZtFRGR8fFy2b98udrtdysrKpK%2BvT2%2BXCmPNr5oQKfBKOpECA0KkwIAQKTAgRAoMCJECA0KkwIAQKTAgRAoMCJECA0KkwIAQKTAgRAp/A%2B05f1ls5AzRAAAAAElFTkSuQmCC\">\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives5147220189367271307,#minihistogram5147220189367271307\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives5147220189367271307\">\n",
+       "    <img 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9dU6fPhwhdu%2B/fZbtW7dWpK0d%2B9ejRs3Tlu2bFFAQIASExM1c%2BZMNW3a1GO/hQsXatasWfr222/VqlUrjRo1SqNGjfKoO3XqlNLT0/XOO%2B/I5XIpLi5OM2fO1K233upR%2B%2Bmnn%2Bqpp57Szp071bBhQw0YMEDTp093e/jo/9q5c6diY2P12WefcYkQAOqYw4cPV/qduTXd3r179fDDD6v943PVIPLa6m7Ha%2BWXCKvj/bfGBKzajIAFAHXT4cOHdf0N7VXkOlfdrfwiBCzv1ZhLhAAA1DZOp1NFrnNqm5SuoIjW1d2O104e3CHH5iXV3YZPImABAFDFgiJa%2B%2BQZIJfzSHW34LN86lOEAAAAvoCABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDGfC1gHDx7Ugw8%2BqFatWik4OFjt27dXRkaGXC6XW92%2BffuUkJCghg0bKjw8XIMHD5bT6axwzoULF6pDhw4KCgpSdHS05s2bV2HdqVOnlJaWpmbNmikkJETdunXTrl27LD9GAADg2%2BpVdwPeOHr0qLp06aImTZpo1KhRCgsL09atWzVlyhTt3LlTb7/9tiQpPz9fXbt2VZMmTTRjxgydOXNGL730kr788ktt375d9er932EvWLBAw4YNU//%2B/TV%2B/Hh9/PHHGj16tFwul9LT0806wzDUu3dvffHFF5owYYLCw8M1f/58xcfHa%2BfOnWrXrt0VXw8AAFAz%2BVTAWrJkiU6fPq2tW7fqhhtukCQNGTJEpaWl%2Btvf/qZTp04pNDRU06ZNk8vl0u7du9WiRQtJUpcuXdSjRw8tXrxYQ4YMkSQVFRVp0qRJ6tu3r5YvXy5JSk1NVWlpqTIyMpSWlqbQ0FBJ0sqVK7V161bl5OSoX79%2BkqT%2B/fsrOjpaU6ZM0dKlS6/0cgAAgBrKpy4RnjlzRpLUrFkzt/HIyEjZ7XYFBARIknJzc5WYmGiGK0nq3r27oqOjtWLFCnNs48aNKiws1PDhw93mGzFihM6ePas1a9aYYzk5OYqMjDTDlSRFREQoJSVF7777rkpKSqw7UAAA4NN8KmDFx8fLMAw9/vjj%2Bte//qWjR49q%2BfLl%2BvOf/6wxY8YoKChIBQUFOn78uDp37uyxf1xcnNs9U%2BV/jo2NdauLjY2V3W73qO3UqVOFc547d0779%2B%2B36jABAICP86mA1bNnT2VkZOjDDz/UrbfeqtatW%2Bt3v/udRo8erZkzZ0qSHA6HJCkqKspj/6ioKBUWFppnmxwOh/z8/BQREeFW5%2B/vr/DwcBUUFJhjDoej0jkludUCAIC6zafuwZKktm3b6q677lJycrLCwsK0Zs0aTZs2TZGRkRo%2BfLj5acL69et77BsYGChJcrlc8vf3l8vlMi8rVlR78ScTXS5XpXMahuHxKUYAAFB3%2BVTAeuutt5SWlqaDBw%2BaZ45%2B%2B9vfqrS0VE899ZQGDhyooKAgSVJxcbHH/kVFRZJk1gQFBen8%2BfMVvlZRUZFZV15b2Zw2m82tFgAA1G0%2BFbAyMzPVqVMnj0t1SUlJev3117Vr1y7z04Xllwov5nA4FBYWJn9/f0k/Xt4rLS2V0%2Bl0u0xYUlKiEydOqHnz5uZYVFRUpXNKcqutzNixY81PJZYbOHCgBg4ceMl9AQBA5Qr3bFLhV5vcxs6frvj5l1eCTwWsY8eOKSwszGO8pKREhmHowoULat68uZo2baq8vDyPuu3btysmJsb8PSYmRoZhKC8vTwkJCeb4jh07VFZW5lG7ZcsWjzm3bdumBg0aKDo6%2BpL9z549u8Ib5QEAwC8T1jFeYR3j3cZOfLlRh1a9WC39%2BNRN7tHR0dq1a5cOHjzoNr5s2TL5%2Bfnp5ptvliQ98MADeu%2B995Sfn2/WbNiwQfv371dKSoo51q1bN4WFhSkzM9NtvszMTAUHB6tPnz7mWHJyso4dO6bc3FxzzOl0Kjs7W0lJSeZZMQAAAJ86g5Wenq4PPvhAd955p0aOHKnw8HCtXr1a69at09ChQxUZGSlJmjhxorKzsxUfH68xY8bozJkzmjlzpm655RY9%2Buij5nyBgYHKyMjQyJEjlZKSop49e2rz5s1atmyZpk%2BfrsaNG5u1ycnJmjNnjh577DHt2bNHERERmj9/vsrKyjR16tQrvBIAAKAm86mA1bVrV3366aeaOnWqMjMzdeLECV199dWaPn2629fatGzZUh999JHGjRunZ555RgEBAUpMTNTMmTM9zjQNGzZMAQEBmjVrllavXq1WrVppzpw5GjVqlFud3W7X2rVrlZ6errlz58rlcikuLk5LlizRddddd0WOHwAA%2BAafCliS1LlzZ7333nuXrGvfvr3Wrl17WXOmpqYqNTX1knWhoaHKyspSVlbWZc0LAADqJp%2B6BwsAAMAXELAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsJhXAatv375asWKFiouLq6ofAAAAn%2BdVwPrqq6/04IMP6qqrrlJqaqo2bdpURW0BAAD4Lq8C1tdff61PPvlEDz30kFavXq3u3burdevWeuaZZ/Tll19WVY8AAAA%2Bxet7sH7961/r1VdflcPh0KpVq3THHXdo7ty5uuWWWxQTE6OXX35ZDoejKnoFAADwCT/7Jnc/Pz/16dNHb775po4ePark5GR9/vnnSk9PV%2BvWrZWQkKB169ZZ2SsAAIBP%2BEWfIty2bZtGjhyp6OhorVy5Uu3bt9e0adM0Y8YMHTlyRL1799bvf/97q3oFAADwCfW83WH//v1aunSpli1bpm%2B//VYREREaOHCgBg0apM6dO5t148ePV2pqqubOnaspU6ZY2jQAAEBN5lXA6ty5s3bt2qWAgAAlJiZq9uzZ6tWrl%2BrVq3iae%2B65R4sWLbKkUQAAAF/hVcAKDAzU/PnzNWDAADVu3PiS9UlJSTpw4MDPbg4AAMAXeRWwtmzZ4tXkwcHBateunVf7AAAA%2BDqvbnLfvXu3FixYUOn2rKwsff7557%2B4KQAAAF/mVcCaOHGi1q5dW%2Bn2devW6dlnn/3FTQEAAPgyrwJWXl6efvOb31S6vWvXrtqxY8cvbgoAAMCXeRWwzpw5o4CAgEq3%2B/n56dSpU7%2B4KQAAAF/mVcC67rrr9OGHH1a6/e9//7uuvvrqX9wUAACAL/MqYD322GNavXq1JkyYoDNnzpjjp0%2BfVnp6ut5//309/vjjljcJAADgS7x6TMOTTz6pnTt3aubMmZozZ45atmwpSTp69KguXLiggQMHavz48VXSKAAAgK/wKmDZbDb97W9/0%2BDBg5WTk6NvvvlGktSzZ0898MADuueee6qkSQAAAF/i9XcRSlKPHj3Uo0cPq3sBAACoFby6BwsAAACX5nXAWrhwoW6//XZFRkaqfv36CggIcPupX79%2BVfQJAADgM7y6RPj000/rpZde0k033aTk5GQ1adKkqvoCAADwWV4FrNdee039%2BvVTdnZ2VfUDAADg87y6ROhyuXTvvfdWVS8AAAC1glcB6%2B6779Znn31WVb0AAADUCl4FrPnz5%2Bvjjz/Wiy%2B%2BqJMnT1ZVTwAAAD7Nq4B100036ciRI3rmmWcUHh6u0NBQhYWFuf2Eh4dXVa8AAAA%2Bwaub3Pv06SObzVZVvQAAANQKXgWspUuXVlUfAAAAtQZPcgcAALCY1wHr6NGjGjlypDp27KimTZvq448/liQ5nU6NGzdOu3fvtrxJAAAAX%2BLVJcJ9%2B/apa9euKikpUZcuXbRv3z6VlJRIkiIiIrRx40adPn1af/3rX6ukWQAAAF/g1RmsCRMmKCQkRP/%2B97/15ptvyjAMt%2B19%2BvQxz2hVpZ07dyopKUnh4eEKDg7WTTfdpHnz5rnV7Nu3TwkJCWrYsKHCw8M1ePBgOZ3OCudbuHChOnTooKCgIEVHR3vMVe7UqVNKS0tTs2bNFBISom7dumnXrl2WHx8AAPBtXp3B%2BuijjzRp0iRdddVVOnHihMf2Nm3aKD8/37LmKvL3v/9dSUlJ6tSpk5577jmFhITo66%2B/1tGjR82a/Px8de3aVU2aNNGMGTN05swZvfTSS/ryyy%2B1fft21av3f4e9YMECDRs2TP3799f48eP18ccfa/To0XK5XEpPTzfrDMNQ79699cUXX2jChAkKDw/X/PnzFR8fr507d6pdu3ZVetwAAMB3eBWwSktLFRwcXOl2p9Mpf3//X9xUZc6cOaNHHnlEffv21cqVKyutmzZtmlwul3bv3q0WLVpIkrp06aIePXpo8eLFGjJkiCSpqKhIkyZNUt%2B%2BfbV8%2BXJJUmpqqkpLS5WRkaG0tDSFhoZKklauXKmtW7cqJydH/fr1kyT1799f0dHRmjJlCp%2BwBAAAJq8uEd5666364IMPKtxWWlqqt956S7/61a8saawib7zxho4fP65p06ZJks6dO%2BdxmVKScnNzlZiYaIYrSerevbuio6O1YsUKc2zjxo0qLCzU8OHD3fYfMWKEzp49qzVr1phjOTk5ioyMNMOV9ON9ZykpKXr33XfNe9EAAAC8ClhPP/201qxZo1GjRmnfvn2SfjxrtWnTJiUkJOirr77S008/XSWNStKGDRvUqFEjHTlyRDfccINCQkLUqFEjDR8%2BXMXFxZKkgoICHT9%2BXJ07d/bYPy4uzu2eqfI/x8bGutXFxsbKbrd71Hbq1KnCOc%2BdO6f9%2B/dbcowAAMD3ef0k94ULF%2BrJJ5/U/PnzJUkDBw6UJIWEhOi1115TfHy85U2WO3DggEpKSnTfffdp6NChmjFjhjZt2qRXXnlFp06d0htvvCGHwyFJioqK8tg/KipKhYWFKikpkb%2B/vxwOh/z8/BQREeFW5%2B/vr/DwcBUUFJhjDodDd911V4VzSj8Gu44dO/5k/4MeefQnL7HWZM9NelaJiYnV3QYAAD7Bq4AlSY8%2B%2BqgeeOABffDBBzp48KDKysrUrl079erVy7xfqaqcPXtWLpdLw4YN0%2BzZsyVJv/3tb1VcXKysrCz94Q9/kMvlkiTVr1/fY//AwEBJksvlkr%2B/v1wulwICAip8rcDAQHOu8n0qm9MwDLfayuQXB6ueX6NLH2gNc/rbXcrKyiJgAQBwmbwOWJLUsGFD9e/f3%2BpeLikoKEiS9OCDD7qN/%2B53v9OCBQu0detWtW/fXpLMS4YXKyoqcpsnKChI58%2Bfr/C1ioqKzLry2srmtNlsbrWVad71ITWIvPaSdTXNwZVTq7sFAAB8ilcB6%2BJLZj%2BlefPmP6uZy5n3q6%2B%2B0lVXXeU23qxZM0nS999/b16yK79UeDGHw6GwsDDzk45RUVEqLS2V0%2Bl0u0xYUlKiEydOuB1HVFRUpXOW93YpRz5cIL9A90uEYR3iFdYx/pL7AgCAyhXu2aTCrza5jZ0/XfHzL68ErwJWy5YtZbPZLllXWlr6sxv6KbGxsVq/fr3y8/N13XXXmePlwa9Zs2Zq3ry5mjZtqry8PI/9t2/frpiYGPP3mJgYGYahvLw8JSQkmOM7duxQWVmZR%2B2WLVs85ty2bZsaNGig6OjoS/bfqscTPnkGCwCAmi6so%2BcJixNfbtShVS9WSz9eBaysrCyPgFVaWqpDhw7pb3/7m6KiovTEE09Y2uDFUlJSNGPGDC1cuNDtZvq//OUv8vf3N29Cf%2BCBB7RkyRLl5%2Bebj2rYsGGD9u/fr/Hjx5v7devWTWFhYcrMzHQLWJmZmQoODlafPn3MseTkZOXk5Cg3N1f333%2B/pB8/QZmdna2kpKQqff4XAADwLV4FrPIHdFZk4sSJiouLM%2B9zqgoxMTF6/PHHtWjRIpWUlOiuu%2B7Sxo0blZOTo4kTJyoyMtLsJTs7W/Hx8RozZozOnDmjmTNn6pZbbtGjjz5qzhcYGKiMjAyNHDlSKSkp6tmzpzZv3qxly5Zp%2BvTpaty4sVmbnJysOXPm6LHHHtOePXsUERGh%2BfPnq6ysTFOnTq2yYwYAAL7nZ93kXpGQkBA9/vjjmjVrlkaMGGHVtB4WLFigNm0B8X3nAAAgAElEQVTaaNGiRXrnnXfUpk0bzZkzR6NGjTJrWrZsqY8%2B%2Bkjjxo3TM888o4CAACUmJmrmzJkeZ5qGDRumgIAAzZo1S6tXr1arVq085pMku92utWvXKj09XXPnzpXL5VJcXJyWLFnidrkSAADAsoBVrqIbwa3k5%2BenyZMna/LkyT9Z1759e61du/ay5kxNTVVqauol60JDQ5WVlaWsrKzLmhcAANRNlgSsc%2BfOafPmzZo5c6bbjeEAAAB1kVcBy9/fv8JPEZaWlsowDLVo0UKvvvqqZc0BAAD4Iq8C1lNPPeURsGw2m5o0aWI%2BzZ1P0wEAgLrOq4D1/PPPV1UfAAAAtYa9uhsAAACobbw6g5WWlub1C9hsNi1YsMDr/QAAAHyVVwFr7dq1crlcKiwslPTjlz5L0pkzZyRJYWFhHl96fDlfrQMAAFCbeHWJ8MMPP1SDBg00YcIEFRQU6NSpUzp16pQKCgqUnp6u4OBgrV%2B/XkeOHDF/Dh8%2BXFW9AwAA1EhencEaOXKkevTooRkzZriNR0ZG6o9//KOcTqdGjhypDz/80NImAQAAfIlXZ7C2bdumzp07V7q9c%2BfO2rp16y9uCgAAwJd5FbAaN26sdevWVbp97dq1Cg0N/cVNAQAA%2BDKvAlZaWppWrVqlBx54QJs2bdLRo0d19OhRbdy4Uffff7/WrFmjJ554oqp6BQAA8Ale3YM1efJkuVwuzZo1S%2B%2B8847bNj8/P/2///f/9Nxzz1naIAAAgK/xKmDZbDa98MILGjt2rNatW2d%2BQrBNmzbq0aOHrrrqqippEgAAwJd4FbDKNWvWTIMGDbK6FwAAgFrB66/KKSsrU3Z2tkaMGKH%2B/fvryy%2B/lCSdPn1aq1at0vHjxy1vEgAAwJd4FbBOnz6trl27KiUlRYsXL1Zubq4ZqBo0aKBhw4bpT3/6U5U0CgAA4Cu8ClhPP/20/vWvf2nNmjU6dOiQDMMwt9WrV0/Jycl6//33LW8SAADAl3gVsN5%2B%2B22NGjVKvXr1kt3uuWt0dLQOHTpkVW8AAAA%2ByauA9f333%2Buaa66pdPuFCxdUUlLyi5sCAADwZV4FrHbt2mnXrl2Vbl%2B/fr3at2//i5sCAADwZV4FrNTUVL322mvKyckxx2w2m0pKSjRlyhS9//77SktLs7xJAAAAX%2BLVc7DGjh2rL774Qv3791d4eLgkadCgQXI6nTp//rxSU1M1dOjQKmkUAADAV3j9JPdFixbpkUceUXZ2tg4cOKCysjK1a9dOKSkp6tatW1X1CQAA4DMuO2AVFxdrw4YNat26teLj4xUfH1%2BFbQEAAPiuy74HKyAgQP369dPHH39clf0AAAD4vMsOWDabTddee60KCwursh8AAACf5/WT3F999VUdPHiwqvoBAADweV7d5L5r1y41adJEHTp0UPfu3dW2bVsFBQW51dhsNs2aNcvSJgEAAHyJVwFrzpw55p/XrVtXYQ0BCwAA1HVeBSy%2BBgcAAODSLnkP1sSJE/X5559Lkvz8/C7rBwAAoC67ZMCaMWOGvvzyS/P3EydOyM/PT//4xz%2BqtDEAAABf5dWnCMsZhmF1HwAAALXGzwpYAAAAqBwBCwAAwGKX9SnCQ4cOaefOnZKkU6dOSZIOHDigxo0bV1jfqVMni9oDAADwPZcVsCZPnqzJkye7jQ0fPtyjzjAM2Ww2lZaWWtMdAACAD7pkwFq0aNGV6AMAAKDWuGTAeuSRR65EHz/btGnTNHnyZN14443m87rK7du3T08%2B%2BaQ%2B%2BeQTBQQEqE%2BfPnr55ZcVERHhMc/ChQs1a9Ysffvtt2rVqpVGjx6tkSNHetSdOnVK6enpeuedd3Tu3DnFxcVp1qxZuvXWW6vsGAEAgG/x6Zvc8/Pz9cILLygkJKTCbV27dtU333yjGTNmKD09XWvWrNG9996rCxcuuNUuWLBAQ4cO1U033aR58%2Bbp9ttv1%2BjRo/XSSy%2B51RmGod69e%2Butt94yt3/33XeKj4/X119/XaXHCgAAfIdXX5VT04wfP16//vWvdeHCBZ04ccJt27Rp0%2BRyubR79261aNFCktSlSxf16NFDixcv1pAhQyRJRUVFmjRpkvr27avly5dLklJTU1VaWqqMjAylpaUpNDRUkrRy5Upt3bpVOTk56tevnySpf//%2Bio6O1pQpU7R06dIrdegAAKAG89kzWJs3b1Zubq7bF1BfLDc3V4mJiWa4kqTu3bsrOjpaK1asMMc2btyowsJCj5v2R4wYobNnz2rNmjXmWE5OjiIjI81wJUkRERFKSUnRu%2B%2B%2By3c1AgAAST4asMrKyjR69GgNHTpUHTt29NheUFCg48ePq3Pnzh7b4uLitGvXLvP38j/Hxsa61cXGxsput3vUVvQIiri4OJ07d0779%2B//2ccEAABqD58MWJmZmTp8%2BLAyMjIq3O5wOCRJUVFRHtuioqJUWFhonm1yOBzy8/PzuPHd399f4eHhKigocJu3sjkludUCAIC6y%2BcCVmFhoaZMmaLnnntOYWFhFda4XC5JUv369T22BQYGutW4XC4FBARUOE9gYKBZV15b2ZyGYbjVAgCAusvnAtazzz6r8PDwCh%2BhUC4oKEiSVFxc7LGtqKjIrSYoKEjnz5%2BvcJ6ioiKzrry2sjltNptbLQAAqLt86lOEBw8e1F/%2B8hf96U9/Un5%2BvqQfH51QVFSkkpIS/ec//1GjRo3MS3bllwov5nA4FBYWJn9/f0k/Xt4rLS2V0%2Bl0u0xYUlKiEydOqHnz5uZYVFRUpXNKcqutyJEPF8gvMNhtLKxDvMI6xl/G0QMAgMoU7tmkwq82uY2dP%2B2snmbkYwErPz9fhmFo9OjRGjVqlMf2a665RmPGjNHLL7%2Bspk2bKi8vz6Nm%2B/btiomJMX%2BPiYmRYRjKy8tTQkKCOb5jxw6VlZV51G7ZssVjzm3btqlBgwaKjo7%2Byf5b9XhCDSKvvaxjBQAAly%2Bso%2BcJixNfbtShVS9WSz8%2BFbBuvPFGvf322x7jzz77rM6ePatXXnlF11xzjSTpgQce0JIlS5Sfn28%2BqmHDhg3av3%2B/xo8fb%2B7brVs3hYWFKTMz0y1gZWZmKjg4WH369DHHkpOTlZOTo9zcXN1///2SJKfTqezsbCUlJZlnxQAAQN3mUwErPDxcSUlJHuOzZ8%2BWzWZT3759zbGJEycqOztb8fHxGjNmjM6cOaOZM2fqlltu0aOPPmrWBQYGKiMjQyNHjlRKSop69uypzZs3a9myZZo%2BfboaN25s1iYnJ2vOnDl67LHHtGfPHkVERGj%2B/PkqKyvT1KlTq/LQAQCAD/GpgPVTbDab2%2B8tW7bURx99pHHjxumZZ55RQECAEhMTNXPmTI8zTcOGDVNAQIBmzZql1atXq1WrVpozZ47HZUi73a61a9cqPT1dc%2BfOlcvlUlxcnJYsWaLrrruuyo8RAAD4hloRsDZu3FjhePv27bV27drLmiM1NVWpqamXrAsNDVVWVpaysrK86hEAANQdPveYBgAAgJqOgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAW86mAlZeXp5EjR%2BrGG29USEiI2rRpowEDBujAgQMetfv27VNCQoIaNmyo8PBwDR48WE6ns8J5Fy5cqA4dOigoKEjR0dGaN29ehXWnTp1SWlqamjVrppCQEHXr1k27du2y9BgBAIDvq1fdDXjjj3/8oz799FP1799fN998s/773/9q7ty56tSpk/75z3%2BqQ4cOkqT8/Hx17dpVTZo00YwZM3TmzBm99NJL%2BvLLL7V9%2B3bVq/d/h71gwQINGzZM/fv31/jx4/Xxxx9r9OjRcrlcSk9PN%2BsMw1Dv3r31xRdfaMKECQoPD9f8%2BfMVHx%2BvnTt3ql27dld8PQAAQM3kUwFr/PjxevPNN90CUkpKim666SbNmDFDS5YskSRNmzZNLpdLu3fvVosWLSRJXbp0UY8ePbR48WINGTJEklRUVKRJkyapb9%2B%2BWr58uSQpNTVVpaWlysjIUFpamkJDQyVJK1eu1NatW5WTk6N%2B/fpJkvr376/o6GhNmTJFS5cuvWLrAAAAajafukR42223uYUrSbr22mvVsWNH7d271xzLzc1VYmKiGa4kqXv37oqOjtaKFSvMsY0bN6qwsFDDhw93m3PEiBE6e/as1qxZY47l5OQoMjLSDFeSFBERoZSUFL377rsqKSmx7DgBAIBv86mAVZljx44pIiJCklRQUKDjx4%2Brc%2BfOHnVxcXFu90yV/zk2NtatLjY2Vna73aO2U6dOFc557tw57d%2B/35JjAQAAvs/nA9bSpUuVn5%2BvBx98UJLkcDgkSVFRUR61UVFRKiwsNM82ORwO%2Bfn5meGsnL%2B/v8LDw1VQUGCOORyOSueU5FYLAADqNp8OWPv27dPIkSN1xx13aPDgwZIkl8slSapfv75HfWBgoFuNy%2BVSQEBAhXMHBgaadeW1lc1pGIZbLQAAqNt8NmAdO3ZMffr0UZMmTbRy5UrZbDZJUlBQkCSpuLjYY5%2BioiK3mqCgIJ0/f77C%2BYuKisy68trK5rTZbG61AACgbvOpTxGWO336tBISEnT69Glt2bJFkZGR5rbyS3bllwov5nA4FBYWJn9/f7O2tLRUTqfT7TJhSUmJTpw4oebNm7vNW9mcktxqK3PkwwXyCwx2GwvrEK%2BwjvGX3BcAAFSucM8mFX61yW3s/OmKn395JfhcwCouLlZiYqIOHjyoDRs26Prrr3fb3rx5czVt2lR5eXke%2B27fvl0xMTHm7zExMTIMQ3l5eUpISDDHd%2BzYobKyMo/aLVu2eMy5bds2NWjQQNHR0ZfsvVWPJ9Qg8trLOk4AAHD5wjp6nrA48eVGHVr1YrX041OXCMvKypSSkqJ//vOfys7OVlxcXIV1DzzwgN577z3l5%2BebYxs2bND%2B/fuVkpJijnXr1k1hYWHKzMx02z8zM1PBwcHq06ePOZacnKxjx44pNzfXHHM6ncrOzlZSUpJ5VgwAAMCnzmCNGzdOq1evVlJSkpxOp9544w237Q899JAkaeLEicrOzlZ8fLzGjBmjM2fOaObMmbrlllv06KOPmvWBgYHKyMjQyJEjlZKSop49e2rz5s1atmyZpk%2BfrsaNG5u1ycnJmjNnjh577DHt2bNHERERmj9/vsrKyjR16tQrcfgAAMBH%2BFTA%2Bte//iWbzabVq1dr9erVHtvLA1bLli310Ucfady4cXrmmWcUEBCgxMREzZw50%2BNM07BhwxQQEKBZs2Zp9erVatWqlebMmaNRo0a51dntdq1du1bp6emaO3euXC6X4uLitGTJEl133XVVd9AAAMDn%2BFTA2rhx42XXtm/fXmvXrr2s2tTUVKWmpl6yLjQ0VFlZWcrKyrrsPgAAQN3jU/dgAQAA%2BAKfOoMFAKh7Dh8%2BLKez%2Bj5u/0tc/D25qFsIWACAGuvw4cO6/ob2KnKdq%2B5WAK8QsAAANZbT6VSR65zaJqUrKKJ1dbfjtZMHd8ixeUl1t4FqQMACANR4QRGtffJBzS7nkepuAdWEm9wBAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYActL58%2Bf11NPPaUWLVqoQYMGuu2227R%2B/frqbgsAANQg9aq7AV/zyCOPKDc3V2PHjtW1116rxYsXq3fv3tq0aZNuv/326m4PADwcPnxYTqezutv4Wfbu3VvdLQA/CwHLC9u3b9fy5cs1a9YsjR07VpI0aNAg3XjjjZowYYK2bNlyRfsp3LNJYR3jr%2Bhr1mZvvvmmBg4cWN1t1AqspbV%2ByXoePnxY19/QXkWucxZ35Zv496a1WM/KEbC8kJ2drXr16mno0KHmWP369ZWamqpnn31W%2Bfn5atGixRXrp/Ar/mJbiVBgHdbSWr9kPZ1Op4pc59Q2KV1BEa0t7qzqnTy4Q47NSyybj39vWov1rBwBywu7d%2B9WdHS0QkJC3Mbj4uLM7VcyYAHA5QqKaK0GkddWdxteczmPVHcLwM/CTe5ecDgcioqK8hiPioqSYRgqKCiohq4AAEBNQ8DygsvlUv369T3GAwMDze0AAABcIvRCUFCQiouLPcaLiorM7RUpD16H1syRX0DFNT%2BH67v/6N9/S7dsvspf55COh0lvvPFGlb9WVbHb7SorK/vJmqNHj9bYY7yc/muS/11LX%2Bv/f1V3/7/k7%2Ba3334r6cd7mXzxctvZI3skWdf/%2BdNOnfhy4y%2Be53JZ3f%2BVdqn%2Br/R6equ8/2o5AWLgsvXo0cPo2LGjx/iGDRsMm81mvPfeexXut3TpUkMSP/zwww8//PBTDT9Lly6t6ojggTNYXoiJidGmTZt09uxZtxvdt23bJpvNppiYmAr369mzp5YuXaq2bdtWepYLAABYy%2BVy6dChQ%2BrZs%2BcVf22bYRjGFX9VH7V9%2B3bddtttmjlzpsaNGyfpxye733jjjWratKk%2B%2BeSTau4QAADUBJzB8kJcXJz69%2B%2BvZ555RseOHTOf5P6f//xHixYtqu72AABADcEZLC%2BdP39ekydP1tKlS/X999/r5ptv1vPPP6977rmnulsDAAA1BAELAADAYjwHCwAAwGIErCvshx9%2B0JQpU9SrVy%2BFh4fLbrdryZKKv2dr3rx56tChgwIDA9WyZUuNHz9e585V/IWtCxcuVIcOHRQUFKTo6GjNmzev0h7Wr1%2Bv7t27q3HjxmrUqJE6d%2B6slStXWnJ8V5LVa3n06FH9/ve/169%2B9SuFhYWpadOmuvvuu7Vhw4ZKe6gtaylV3d/Nclu2bJHdbpefn58KCwsrrKkt61lVa3n8%2BHE98cQTatmypYKCgnT11VdryJAhFdbWlrWUqmY9T58%2BrQkTJig6OloNGjRQ27ZtNWTIEB05UvGzqmrLeubl5WnkyJG68cYbFRISojZt2mjAgAE6cOCAR%2B2%2BffuUkJCghg0bKjw8XIMHD5bT6axw3rr4HnRJV/zBEHXcoUOHDJvNZrRt29bo1q2bYbfbjddff92jbsKECYbNZjMGDBhgLFiwwBgzZozh7%2B9vJCQkeNT%2B%2Bc9/Nmw2m5GSkmL89a9/NR555BHDZrMZL774okfta6%2B9ZtjtdiMhIcGYP3%2B%2BsWDBAmPcuHHGrFmzquR4q5LVazlv3jwjODjYeOihh4z58%2Bcbr7zyitG5c2fDZrMZixcv9pi3Nq2lYVTN381yZWVlRkxMjNGwYUPDbrcbJ06c8KipTetZFWt55MgRo1WrVkabNm2M559/3li0aJExbdo047777vOorU1raRjWr2dZWZnRpUsXo2HDhsbTTz9tLFy40HjmmWeMRo0aGa1atTLOnj3rVl%2Bb1jM5Odlo3ry5MWbMGGPhwoXGtGnTjMjISCMkJMTYs2ePWXf06FEjIiLCuO6664x58%2BYZL7zwghEWFmbceuutRklJiducdfU96FIIWFfY%2BfPnjWPHjhmGYRh5eXmGzWbz%2BBeFw%2BEw/P39jUcffdRtfN68eYbdbnd7oKnL5TIiIiKMpKQkt9qHH37YaNiwoXHy5Elz7NChQ0aDBg2MsWPHWn1Y1cLqtfzqq6883viLi4uN9u3bG61bt3Ybr21raRjWr%2BfFMjMzjaZNmxpjx46tMGDVtvWsirXs1auX0a5dO%2BP777//ydeubWtpGNav56effmrYbDYjMzPTrXbRokWG3W433nnnHXOstq3n1q1bPQLSgQMHjMDAQGPQoEHm2LBhw4zg4GDj6NGj5tj69esNm81m/OUvfzHH6vJ70KVwifAK8/f3V7NmzX6yZuvWrSotLdWAAQPcxh988EEZhqG33nrLHNu4caMKCws1fPhwt9oRI0bo7NmzWrNmjTmWmZmpsrIy/f73v5f042l3X2b1WrZv315hYWFudQEBAerdu7eOHj3qtl61bS0l69ez3Pfff6/JkycrIyNDoaGhFc5b29bT6rX897//rQ8%2B%2BEATJkxQ48aNVVxcrAsXLlQ4b21bS8n69Tx9%2BrQkecwZGRkpyf1rz2rbet52222qV8/9CU3XXnutOnbsqL1795pjubm5SkxMVIsWLcyx7t27Kzo6WitWrDDH6vJ70KUQsGqg8u87/N%2Bnvjdo0ECS9Nlnn5lju3btkiTFxsa61cbGxsput5vbJWnDhg264YYbtGbNGrVq1cq8rv7cc8/JqKUfJvVmLSvjcDjUoEEDcx%2Bpbq6l9PPWc9KkSYqKilJaWlql89bF9fRmLdevXy%2BbzaamTZuqe/fuCgoKUlBQkHr37q3//Oc/bvvXxbWUvFvPzp07Kzg4WJMnT9bGjRtVUFCgjz76SE899ZTi4uLcHrtTV9bz2LFjioiIkCQVFBTo%2BPHj6ty5s0ddXFyc2/sK70GVI2DVQNdff70Mw/B4MvzmzZslSfn5%2BeaYw%2BGQn5%2Bf%2BQ9GOX9/f4WHh6ugoMAcO3DggA4fPqzHH39cQ4YMUU5Ojnr37q3nn39ekyZNqsIjqj7erGVFDh48qLffflvJycmy2WzmeF1cS8n79fz888%2BVlZWl2bNnu63f/6qL6%2BnNWh44cECGYSgtLU2BgYFasWKF/vjHP2rLli3q0aOH%2BYXz5bV1bS0l79YzPDxcK1as0MmTJ9W9e3e1bNlSd999t1q0aKENGzbIbv%2B/t8a6sJ5Lly5Vfn6%2BHnzwQUk/vq9IUlRUlEdtVFSUCgsLVVJSYtbyHlSJK35REqbK7iUwDMO47bbbjEaNGhmLFi0yDh06ZLz//vtG27ZtjYCAAMPf39%2BsS01NNYKDgyucv3Xr1ka/fv3M3/38/Ay73W689NJLbnW9evUygoODPW7s9CVWrOX/OnfunBETE2OEh4cbDofDbVttXkvDsG4977rrLrebsKdOnVrhPVi1eT2t%2BufcZrMZN998s9v%2Bb731lmGz2YyFCxeaY7V5LQ3Dur%2Bb27dvNxITE40ZM2YYq1atMv7whz8YwcHBRv/%2B/d3qavt67t271wgNDTXuvPNOo6yszDAMw/j4448Nm81mrFy50qP%2BueeeM%2Bx2u3Hq1CnDMHgP%2BimcwaqhcnNzdcsttyg1NVVXX3217rvvPg0YMEC33nqr2xdNBwUF6fz58xXOUVRU5Ha6vPzP5f%2BVUm7gwIFyuVxup3Jrk8tdy4uVlZVpwIAB2rdvn3Jycsx7M8rV1bWULn89ly9frm3btmnWrFmXnLOurqc3/5zbbDb179/fbf/%2B/furXr16%2BvTTT91qpbq3ltLlr%2Bc333yju%2B%2B%2BW6mpqXrqqafUt29fTZ48WfPnz1d2drbWrVtn1tbm9Tx27Jj69OmjJk2aaOXKleZZ5vJjLr/serHys6XlNbwHVY7vIqyhoqKitHnzZn399df673//q%2Buuu07NmjVTixYtFB0d7VZXWloqp9Ppdoq2pKREJ06cUPPmzc2x5s2b6%2BDBg7rqqqvcXqtZs2YyDEPff/991R9YNbjctbzYkCFD9P7772vZsmW66667PLbX1bWULn89J0yYYAaA8vuEytfl8OHDKi4uNi9B1NX1vNy1LP/n%2BH/Xx263Kzw83G196upaSpe/nosXL1ZxcbH69Onjtn9SUpIk6ZNPPlHPnj0l1d71PH36tBISEnT69Glt2bLF7T8iy/%2B5LL9UeDGHw6GwsDD5%2B/ubtbwHVYwzWDVcu3btdMcdd6hZs2b66quv5HA41KNHD3N7TEyMDMNQXl6e2347duxQWVmZYmJizLHymxD/9z6Z/Px88wba2uxSa1kuPT1dr7/%2BuubMmaOUlJQK56rrayldej2PHDmiZcuW6eqrrzZ/XnnlFRmGoU6dOrm9udX19bzUWsbGxsowDI/1KSkpkdPpdFufur6W0qXX8/jx4zIMQ6WlpW77ld9XdPEnNGvjehYXFysxMVEHDx7UmjVrdP3117ttb968uZo2berxviJJ27dvd3tf4T3oJ1TTpUkYP30vwf8qKysz%2BvTpY4SEhBhHjhwxx10ulxEeHl7hM0hCQkLcnpnzzjvvGDabzZg0aZLbvHfeeacRERFhnD9/3oKjqh5WrKVhGMaLL75o2Gw2Y/LkyT85R21eS8OwZj3fffddj58HH3zQsNvtxhtvvGFs2rTJrK3N62nFWhYXFxtXXXWVce211xrFxcXm%2BIIFCwy73W7k5OSYY7V5LQ3DmvWcNWtWhXPMmTPHsNvtxooVK8yx2raepaWlRlJSkhEQEGB88MEHldb91HOwsrKyzDHegyrHJcJq8Oqrr%2BrkyZNmil%2B1apX59QyjR49Ww4YN9eSTT6qoqEgxMTEqKSnRG2%2B8oby8PC1ZskQtW7Y05woMDFRGRoZGjhyplJQU9ezZU5s3b9ayZcs0ffp0NW7c2Ky977771L17d73wwgv67rvvdMstt%2Bjtt9/Wp59%2BqqysLPOUry%2Bxci3ffvttPfXUU4qOjtb111%2BvN954w%2B217r33XvO/sGrjWkrWrmf55ZaLld9jkfD/27ljVcWBMAzD/1pIBEWwUxtBLEQh5AKUNBXbWxIAAAHkSURBVIKVYC1KCkG7cCy9BVOlVrATwc4r8AK0tE9jIXZi/W%2B1h3N21WrcA/F9IN1kIB9D5isyabe//XMsjnmazDKZTMpsNhPP86TRaEi/35coiiQMQ2k2m9Ltdj/HxjFLEbN5ep4nQRDIaDSSw%2BEgtVpN9vu9LBYLqdfrsc5zMpnIdruVTqcjl8vln/dcr9cTEZHpdCqbzUZc1xXf9%2BV6vUoQBGLbtnie9zn%2B3fegp3664b2jUqmkiUTi7hVFkaqqLpdLdRxHM5mMZrNZbbVautvtHs45n8%2B1Wq2qZVlaqVQ0DMO74263m358fGihUFDLstS2bV2tVi95zv/BZJZ/Trg9uv6%2BJ25Zqr5mbX716BShavzyfEWW6/VaHcfRVCql%2BXxefd%2B/e/Iqblmqms/zdDrpcDjUcrmslmVpsVjU8Xgc%2B7Xpuu7T99xXx%2BNR2%2B22ptNpzeVyOhgM9Hw%2B3533XfegZ36pxvDvXgAAAD%2BIj9wBAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADDsN1BVfsjwngPbAAAAAElFTkSuQmCC\">\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">collectingOrg<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>4</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6848806312126851519\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Minneapolis Chain of Lakes Project</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 95.6%\">\n",
+       "            28233\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>MPCA Lake Monitoring Program Project</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 3.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1074\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Citizen Lake Monitoring Program</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.7%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        216\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6848806312126851519, #minifreqtable-6848806312126851519\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6848806312126851519\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Minneapolis Chain of Lakes Project</td>\n",
+       "        <td class=\"number\">28233</td>\n",
+       "        <td class=\"number\">95.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">MPCA Lake Monitoring Program Project</td>\n",
+       "        <td class=\"number\">1074</td>\n",
+       "        <td class=\"number\">3.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Citizen Lake Monitoring Program</td>\n",
+       "        <td class=\"number\">216</td>\n",
+       "        <td class=\"number\">0.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Lake Study 2013</td>\n",
+       "        <td class=\"number\">8</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">comments<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>3</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>5.4%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>99.8%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>29475</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2372862948645539330\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Lab qualifier:  (<)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        54\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Questionable result: Pheophytin-a > Chlorophyll-a</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 99.8%\">\n",
+       "            29475\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2372862948645539330, #minifreqtable2372862948645539330\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2372862948645539330\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Lab qualifier:  (<)</td>\n",
+       "        <td class=\"number\">54</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Questionable result: Pheophytin-a > Chlorophyll-a</td>\n",
+       "        <td class=\"number\">2</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">29475</td>\n",
+       "        <td class=\"number\">99.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>county</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td>Hennepin</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">gtlt<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>3</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.3%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>96.5%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>28496</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6629174687085424286\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>< </th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 3.5%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1034\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>> </th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 96.5%\">\n",
+       "            28496\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6629174687085424286, #minifreqtable-6629174687085424286\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6629174687085424286\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">< </td>\n",
+       "        <td class=\"number\">1034</td>\n",
+       "        <td class=\"number\">3.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">> </td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">28496</td>\n",
+       "        <td class=\"number\">96.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">parameter<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>56</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.2%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable9148324733344529702\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Temperature, water</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:33%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 16.9%\">\n",
+       "            5000\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Dissolved oxygen (DO)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:33%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 16.8%\">\n",
+       "            4964\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>pH</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:29%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 14.8%\">\n",
+       "            4374\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (53)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 51.4%\">\n",
+       "            15193\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable9148324733344529702, #minifreqtable9148324733344529702\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable9148324733344529702\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Temperature, water</td>\n",
+       "        <td class=\"number\">5000</td>\n",
+       "        <td class=\"number\">16.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Dissolved oxygen (DO)</td>\n",
+       "        <td class=\"number\">4964</td>\n",
+       "        <td class=\"number\">16.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:99%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">pH</td>\n",
+       "        <td class=\"number\">4374</td>\n",
+       "        <td class=\"number\">14.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:87%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Specific conductance</td>\n",
+       "        <td class=\"number\">4220</td>\n",
+       "        <td class=\"number\">14.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:84%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Dissolved oxygen saturation</td>\n",
+       "        <td class=\"number\">3745</td>\n",
+       "        <td class=\"number\">12.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:75%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Phosphorus as P</td>\n",
+       "        <td class=\"number\">1736</td>\n",
+       "        <td class=\"number\">5.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Orthophosphate as P</td>\n",
+       "        <td class=\"number\">1629</td>\n",
+       "        <td class=\"number\">5.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:33%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Turbidity</td>\n",
+       "        <td class=\"number\">600</td>\n",
+       "        <td class=\"number\">2.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Depth, Secchi disk depth</td>\n",
+       "        <td class=\"number\">497</td>\n",
+       "        <td class=\"number\">1.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Chlorophyll a, corrected for pheophytin</td>\n",
+       "        <td class=\"number\">342</td>\n",
+       "        <td class=\"number\">1.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (46)</td>\n",
+       "        <td class=\"number\">2424</td>\n",
+       "        <td class=\"number\">8.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:48%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">result<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>6005</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>20.4%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.3%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>88</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-927466476399634651\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>0.1</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 1.4%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        403\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>0.003</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 1.3%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        373\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>0.00</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.8%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        231\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (6001)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 96.3%\">\n",
+       "            28436\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-927466476399634651, #minifreqtable-927466476399634651\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-927466476399634651\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.1</td>\n",
+       "        <td class=\"number\">403</td>\n",
+       "        <td class=\"number\">1.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.003</td>\n",
+       "        <td class=\"number\">373</td>\n",
+       "        <td class=\"number\">1.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.00</td>\n",
+       "        <td class=\"number\">231</td>\n",
+       "        <td class=\"number\">0.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.002</td>\n",
+       "        <td class=\"number\">227</td>\n",
+       "        <td class=\"number\">0.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0</td>\n",
+       "        <td class=\"number\">154</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.01</td>\n",
+       "        <td class=\"number\">153</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.5</td>\n",
+       "        <td class=\"number\">150</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.02</td>\n",
+       "        <td class=\"number\">128</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.2</td>\n",
+       "        <td class=\"number\">107</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1</td>\n",
+       "        <td class=\"number\">102</td>\n",
+       "        <td class=\"number\">0.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (5994)</td>\n",
+       "        <td class=\"number\">27415</td>\n",
+       "        <td class=\"number\">92.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">resultUnit<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>14</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.5%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>138</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-1201775712390054085\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>mg/L</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:98%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 33.5%\">\n",
+       "            9895\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>deg C</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:50%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 16.9%\">\n",
+       "            5000\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>None</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:44%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 14.9%\">\n",
+       "            4401\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (10)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 34.2%\">\n",
+       "            10097\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-1201775712390054085, #minifreqtable-1201775712390054085\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1201775712390054085\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">mg/L</td>\n",
+       "        <td class=\"number\">9895</td>\n",
+       "        <td class=\"number\">33.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">deg C</td>\n",
+       "        <td class=\"number\">5000</td>\n",
+       "        <td class=\"number\">16.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:51%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">None</td>\n",
+       "        <td class=\"number\">4401</td>\n",
+       "        <td class=\"number\">14.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:45%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">uS/cm</td>\n",
+       "        <td class=\"number\">4220</td>\n",
+       "        <td class=\"number\">14.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:43%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">%</td>\n",
+       "        <td class=\"number\">3749</td>\n",
+       "        <td class=\"number\">12.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">ug/L</td>\n",
+       "        <td class=\"number\">964</td>\n",
+       "        <td class=\"number\">3.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">FNU</td>\n",
+       "        <td class=\"number\">573</td>\n",
+       "        <td class=\"number\">1.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">m</td>\n",
+       "        <td class=\"number\">497</td>\n",
+       "        <td class=\"number\">1.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">mV</td>\n",
+       "        <td class=\"number\">39</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">PCU</td>\n",
+       "        <td class=\"number\">32</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (3)</td>\n",
+       "        <td class=\"number\">23</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">138</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">sampleDate<br/>\n",
+       "            <small>Date</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>544</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>1.8%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>1971-04-21 00:00:00</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>2015-10-26 00:00:00</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram7827886306961082440\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAB1dJREFUeJzt3U9MU1seB/Bv%2BVueKPqs4p9SIeGPVVuhsGASjLgY0c2o8FhoSAxxoWFjYJwNiSZs2IzBoCYuDGpemsEMmuhoJGLQMJ04JlUGMSOo8FJ4aFGLcTI8W4bqbxbE5jG8nKF99N4Wvp/kJnDbc8%2B54Xxzzz29p0B04HQ6BQA3bmFtTqdT876aBB1kZ2cDAJxOJ6xWa9jl6%2BvrcebMmQVuFUVbpH%2B3gYEB1NTUhPqNlnQJSFpaGgDAarXC4XCEXT4jIyOicqSvjIwMmEwm%2BHy%2BiMp/7Tda0iUgtPBGR0cj6ngmkwkWiyUKLZrL7/ejYLMVAf8nTepbCAzIIjA6OhpxxzOmfYMXgwNhhySSQE5MTCDg/4Ts3/0Baab51/dxyA3vX78Pq66FwoAsAj6fL6KO5/eNwvOXP8LlcoV1L%2Bj1elH1XTWmAv5Imos0kwXfrMud9/v9vh8jqmchxGVADh48qHcTYlK4HW968gNgMKCmpiai%2BsINpPfhn/Fx0BVRXXphQJawYOAnQCTiIU%2B4gVyZ/xsGhOJPPA15tJagdwOIYhmvIDEmktmhgYGBKLWGGJAY8mumayk6GJAYEul0rZ6fEyx2DEgM4k1z7OBNOpECA0KkwIAQKTAgRAoMCJECA0KkwIAQKTAgRAoMCJECA0KkwIAQKTAgRAoMCJECA0KkwIAQKXA9SJRw6eziwIBEAZfOLh4MSBRw6eziwYBEEZfOxj/epBMpMCBECgwIkQIDQqTAgBApMCBECgwIkQIDQqTAgBApMCBECnEZkPb2dr2bQBGYHHuudxPCpuuzWO/fv4fX6w2rTGZmJtrb2/mPPOPQT6/j73F%2BXQOyZ8%2BesMs0NjZGoSVEv0zXgJh/exTGVRvm/f43f/sTnj17FsUWzcWFT0ubrgFZnrUtrMfB3//jDj59%2BoTp6Wn09vaGVdfU1BRSU1PDKuP1elH1XTWmAv6wytHioUtA/P6ZDvfy%2B9/DkDD/eYLgf6bw4IcEfPn8GcXFxWHWagAgYZaZsXp7BZLTv533%2B/3vPPjXq7/j45A7rDUekz/%2BEwAWbbnP/n//qvq%2B9htNiQ6cTqdgprdy4zbvzel0at5XDSIi0JjP58Pdu3eRnZ2NtLQ0raunOOP3%2B%2BHxeFBRUQGTyaRp3boEhChexOUHhURaYUCIFHQPyPHjx5GTk4OEhAT09/eH9rvdbpSVlaGwsBAOhwMPHjwIvVZZWQmHwwGHw4GioiIkJibi9u3bodevX78Ou90Om80Gu92O0dFRTc9psZuamsKBAwewefNmFBUVoaKiAsPDwwBmno7Yu3cv8vPzYbfb4XK5QuUuX74Mu92O5ORknD17dtYx79y5g5KSEhiNRjQ0NGh6PkqaTwv8D5fLJa9fv5acnBx5%2BvRpaL/ZbJb79%2B%2BLiMjLly/FYrFIIBCYU/7x48eyZs0amZ6eFhGR3t5esVqtMj4%2BLiIik5OT4vf7NTiTpSMQCEhnZ2fo9/Pnz0t5ebmIiNTW1kpTU5OIiLjdbjGbzRIMBkVEpL%2B/XwYHB%2BXw4cPS2to665ivXr2S/v5%2BOXnypNTX12t0Jv%2Bf7leQsrIybNiwAfKzuYKJiQn4fD7s2rULAJCXl4eVK1eis7NzTvm2tjbU1NQgKWnmI52WlhY0NDQgMzMTALBs2TIYjUYNzmTpSE1NnfWYUGlpKUZGRgAAHR0dOHbsGACgpKQEGzduRE9PDwDAZrOhoKAABoNhzjFzc3Nhs9mQmJiowRnMn%2B4B%2BSWrV6/G%2BvXrce3aNQAzw60XL17A4/HMel8gEEB7ezuOHDkS2vf8%2BXOMjIygvLwcxcXFOHXq1Kzw0cJrbW3F/v378eHDBwSDQaxduzb02qZNm%2BJ6iBuTAQGAmzdvoq2tDcXFxTh37hx27NgRukp81dHRgYKCAmzdujW0LxgMoq%2BvD11dXXC5XHj48CEuXLigdfOXjObmZgwPD6O5uVnvpkRFzH71qM1mmzWk2rJly6wgAMClS5dmXT0AwGKxoKqqCikpKUhJSUFlZSUePXqEuro6Tdq9lJw%2BfRo3btxAd3c3jEYjjEYjkpKS8O7du9BVxOPxwGKZ//cTx5qYvYKMj4%2BHfr548SLS09ND9yQAMDQ0hCdPnsxZF3Lo0CF0dXVBRBAMBtHV1YXt27dr1u6loqWlBVevXsW9e/ewfPny0P7q6urQFdvtduPNmzfYuXPnnPKqYW9MDYl1nSIQkaNHj4rZbJbk5GRZt26d5OXliYhIU1OT5OfnS35%2Bvuzbt0/GxsZmlWtsbJTa2to5x/vy5YucOHFCrFar2Gw2qaurC81w0cIYGxsTg8Egubm5UlRUJIWFhVJaWioiIm/fvpXdu3dLXl6ebNu2TXp6ekLlrly5ImazWdLT02XVqlWSlZUlfX19IiLS3d0tZrNZMjIyZMWKFZKVlSW3bt3S5fx%2Bjo%2BaECnE7BCLKBYwIEQKDAiRAgNCpMCAECkwIEQKDAiRAgNCpMCAECkwIEQKDAiRAgNCpPBflBXERxfKQSoAAAAASUVORK5CYII%3D\">\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives7827886306961082440,#minihistogram7827886306961082440\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives7827886306961082440\">\n",
+       "    <img 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UFBSk5OVlZWVleZ5pGjBihoKAgzZgxQytWrFDr1q2VnZ2tBx54wKPO6XRq1apVyszM1KxZs%2BR2u5WQkKCFCxeqQ4cOddI/AADwD34VsDIyMpSRkXFWtR07dtSqVavOqjY9PV3p6ek/Wde4cWPNmzdP8%2BbNO6t5AQDAhcmv7sECAADwBwQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwmF992DMA%2BML%2B/fvlcrl8vYyf5dNPP/X1EoALEgELAM5g//79uuzXHVXuPuHrpQDwIwQsADgDl8ulcvcJtU3JVEhUG18v55x999kWlaxf6OtlABccAhYAnIWQqDYKbdHe18s4Z27XAV8vAbggcZM7AACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMb8PWFOnTpXT6dSVV17ptW337t1KSkpSo0aNFBkZqcGDB8vlctU4z/z589WpUyeFhIQoNjZWs2fPrrHu6NGjGj58uJo3b67w8HD16NFD27Zts7QnAADg3/w6YBUVFempp55SeHh4jdu6d%2B%2BuL774QtOmTVNmZqZWrlypm2%2B%2BWadPn/aonTt3ru677z5dccUVmj17tq677jqNHj1a06dP96gzDEN9%2BvTRa6%2B9Zm7/5ptvlJiYqM8//9zWXgEAgP9o4OsF/BLjx4/Xtddeq9OnT%2BvIkSMe26ZOnSq3263t27erZcuWkqSrr75avXr10oIFCzRs2DBJUnl5uR555BH169dPr7/%2BuiQpPT1dlZWVmjJlioYPH67GjRtLkpYtW6aNGzcqLy9P/fv3lyQNHDhQsbGxmjx5shYtWlRXrQMAgHrMb89grV%2B/Xvn5%2BcrOzq5xe35%2BvpKTk81wJUk9e/ZUbGysli5dao4VFBSotLRUI0eO9Hj9qFGjVFZWppUrV5pjeXl5atGihRmuJCkqKkppaWl66623VFFRYVV7AADAj/llwKqqqtLo0aN13333qXPnzl7bi4uLdfjwYXXr1s1rW0JCgsc9U9Xfx8fHe9TFx8fL6XR61Xbt2rXGOU%2BcOKE9e/b87J4AAMD5wy8DVk5Ojvbv368pU6bUuL2kpESSFB0d7bUtOjpapaWl5tmmkpISBQQEKCoqyqMuMDBQkZGRKi4u9pi3tjkledQCAIALl98FrNLSUk2ePFmPPfaYIiIiaqxxu92SpIYNG3ptCw4O9qhxu90KCgqqcZ7g4GCzrrq2tjkNw/CoBQAAFy6/C1gPP/ywIiMjlZGRUWtNSEiIJOnkyZNe28rLyz1qQkJCdOrUqRrnKS8vN%2Buqa2ub0%2BFweNQCAIALl1%2B9i/Czzz7TSy%2B9pOeee05FRUWSfnh0Qnl5uSoqKvTVV1/poosuMi/ZVV8q/LGSkhJFREQoMDBQ0g%2BX9yorK%2BVyuTwuE1ZUVOjIkSOKiYkxx6Kjo2udU5JHbU3Gjh1rviOx2qBBgzRo0KCzaR8AANSidOdale5a6zF26ljNz76sC34VsIqKimQYhkaPHq0HHnjAa/ull16qMWPG6Nlnn1WzZs1UWFjoVbN582bFxcWZP8fFxckwDBUWFiopKckc37Jli6qqqrxqN2zY4DXnpk2bFBoaqtjY2DOuf%2BbMmTXeJA8AAH6ZiM6Jiuic6DF2ZEeB9i1/xifr8auAdfnll%2BuNN97wGn/44YdVVlam559/XpdeeqkkacCAAVq4cKGKiorMRzWsWbNGe/bs0fjx483X9ujRQxEREcrJyfEIWDk5OQoLC1Pfvn3NsdTUVOXl5Sk/P1%2B33XabJMnlcik3N1cpKSnmWTEAAHBh86uAFRkZqZSUFK/xmTNnyuFwqF%2B/fubYpEmTlJubq8TERI0ZM0bHjx9XVlaWunTpoiFDhph1wcHBmjJlijIyMpSWlqbevXtr/fr1WrJkiZ588kk1adLErE1NTVV2draGDh2qnTt3KioqSnPmzFFVVZUef/xxO1sHAAB%2BxK8C1pk4HA6Pn1u1aqV169Zp3LhxmjhxooKCgpScnKysrCyvM00jRoxQUFCQZsyYoRUrVqh169bKzs72ugzpdDq1atUqZWZmatasWXK73UpISNDChQvVoUMH23sEAAD%2B4bwIWAUFBTWOd%2BzYUatWrTqrOdLT05Wenv6TdY0bN9a8efM0b968c1ojAAC4cPjdYxoAAADqOwIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABazLWD169dPS5cu1cmTJ%2B3aBQAAQL1kW8DatWuX7rjjDl188cVKT0/X2rVr7doVAABAvWJbwPr888/1wQcf6M4779SKFSvUs2dPtWnTRhMnTtSOHTvs2i0AAIDP2XoP1rXXXqsXXnhBJSUlWr58ua6//nrNmjVLXbp0UVxcnJ599lmVlJTYuQQAAIA6Vyc3uQcEBKhv37569dVXdfDgQaWmpurf//63MjMz1aZNGyUlJWn16tV1sRQAAADb1dm7CDdt2qSMjAzFxsZq2bJl6tixo6ZOnapp06bpwIED6tOnj/7yl7/U1XIAAABs08DOyffs2aNFixZpyZIl%2BvLLLxUVFaVBgwbp7rvvVrdu3cy68ePHKz09XbNmzdLkyZPtXBIAAIDtbAtY3bp107Zt2xQUFKTk5GTNnDlTt9xyixo0qHmXN910k1555RW7lgMAAFBnbAtYwcHBmjNnjm6//XY1adLkJ%2BtTUlK0d%2B9eu5YDAABQZ2wLWBs2bDin%2BrCwMLVr186m1QAAANQd225y3759u%2BbOnVvr9nnz5unf//63XbsHAADwGdsC1qRJk7Rq1apat69evVoPP/ywXbsHAADwGdsCVmFhoX73u9/Vur179%2B7asmWLXbsHAADwGdsC1vHjxxUUFFTr9oCAAB09etSu3QMAAPiMbQGrQ4cOevfdd2vd/s9//lO/%2BtWv7No9AACAz9gWsIYOHaoVK1ZowoQJOn78uDl%2B7NgxZWZm6p133tG9995r1%2B4BAAB8xrbHNDz44IPaunWrsrKylJ2drVatWkmSDh48qNOnT2vQoEEaP368XbsHAADwGdsClsPh0N///ncNHjxYeXl5%2BuKLLyRJvXv31oABA3TTTTfZtWsAAACfsvWzCCWpV69e6tWrl927AQAAqDdsuwcLAADgQmVrwJo/f76uu%2B46tWjRQg0bNlRQUJDHV8OGDe3cPQAAgE/YdonwoYce0vTp03XFFVcoNTVVTZs2tWtXAAAA9YptAevll19W//79lZuba9cuAAAA6iXbLhG63W7dfPPNdk0PAABQb9kWsG688UZ99NFHdk0PAABQb9kWsObMmaP3339fzzzzjL777ju7dgMAAFDv2BawrrjiCh04cEATJ05UZGSkGjdurIiICI%2BvyMhIu3YPAADgM7bd5N63b185HA67pgcAAKi3bAtYixYtsmtqAACAeo0nuQMAAFjM1oB18OBBZWRkqHPnzmrWrJnef/99SZLL5dK4ceO0fft2O3cPAADgE7ZdIty9e7e6d%2B%2BuiooKXX311dq9e7cqKiokSVFRUSooKNCxY8f017/%2B1a4lAAAA%2BIRtZ7AmTJig8PBw/ec//9Grr74qwzA8tvft29c8o3W2du3apbS0NLVr105hYWFq1qyZbrjhBr399ttetbt371ZSUpIaNWqkyMhIDR48WC6Xq8Z558%2Bfr06dOikkJESxsbGaPXt2jXVHjx7V8OHD1bx5c4WHh6tHjx7atm3bOfUAAADOf7YFrHXr1mnkyJG6%2BOKLa3w34SWXXKKioqJzmvOrr75SWVmZhgwZoueff16PPfaYHA6HUlJSPM6EFRUVqXv37vriiy80bdo0ZWZmauXKlbr55pt1%2BvRpjznnzp2r%2B%2B67T1dccYVmz56t6667TqNHj9b06dM96gzDUJ8%2BffTaa6%2BZ27/55hslJibq888/P6c%2BAADA%2Bc22S4SVlZUKCwurdbvL5VJgYOA5zXnLLbfolltu8RjLyMhQ165d9eyzz2rYsGGSpKlTp8rtdmv79u1q2bKlJOnqq69Wr169tGDBArOuvLxcjzzyiPr166fXX39dkpSenq7KykpNmTJFw4cPV%2BPGjSVJy5Yt08aNG5WXl6f%2B/ftLkgYOHKjY2FhNnjyZd00CAACTbWewrrrqKv3jH/%2BocVtlZaVee%2B01/eY3v/nF%2B3E4HGrdurXH0%2BLz8/OVnJxshitJ6tmzp2JjY7V06VJzrKCgQKWlpRo5cqTHnKNGjVJZWZlWrlxpjuXl5alFixZmuJJ%2BuJcsLS1Nb731lnl/GQAAgG0B66GHHtLKlSv1wAMPaPfu3ZJ%2BOGu1du1aJSUladeuXXrooYd%2B1twnTpzQkSNH9MUXX2jmzJlatWqVbrrpJklScXGxDh8%2BrG7dunm9LiEhweOeqerv4%2BPjPeri4%2BPldDq9art27VrjnCdOnNCePXt%2BVi8AAOD8Y%2BuT3OfPn68HH3xQc%2BbMkSQNGjRIkhQeHq6XX35ZiYmJP2vu8ePHa%2B7cuZIkp9OpAQMGaNasWZKkkpISSVJ0dLTX66Kjo1VaWqqKigoFBgaqpKREAQEBioqK8qgLDAxUZGSkiouLzbGSkhLdcMMNNc4p/RDsOnfu/LP6AQAA5xfbApYkDRkyRAMGDNA//vEPffbZZ6qqqlK7du10yy23mPc2/Rxjx47VwIEDVVxcrKVLl6qyslInT56UJLndbklSw4YNvV4XHBxs1gQGBsrtdisoKKjGfQQHB5tzVb%2BmtjkNw/CoBQAAFzZbA5YkNWrUSAMHDrR0ztjYWMXGxkqS7rrrLvXu3VspKSnatGmTQkJCJMkMXD9WXl4uSWZNSEiITp06VeM%2BysvLzbrq2trmdDgcHrUAAODCZlvA%2BvHltTOJiYn5xftKTU3VH//4R%2B3du9e8ZFd9qfDHSkpKFBERYb57MTo6WpWVlXK5XB6XCSsqKnTkyBGPtUVHR9c659n2MXbsWK8zd4MGDTIvnQIAgJ%2BndOdale5a6zF26ljNz7%2BsC7YFrFatWtX4/Kv/VVlZ%2BYv3VX157ujRo%2BrQoYOaNWumwsJCr7rNmzcrLi7O/DkuLk6GYaiwsFBJSUnm%2BJYtW1RVVeVVu2HDBq85N23apNDQUPOM2pnMnDmzxhvlAQDALxPROVERnRM9xo7sKNC%2B5c/4ZD22Bax58%2BZ5BazKykrt27dPf//73xUdHa3777//nOb85ptv1KxZM4%2Bx06dP629/%2B5tCQkLUqVMnSdKAAQO0cOFCFRUVmY9qWLNmjfbs2aPx48ebr%2B3Ro4ciIiKUk5PjEbBycnIUFhamvn37mmOpqanKy8tTfn6%2BbrvtNkk/vCsyNzdXKSkp5/xMLwAAcP6yLWBVP8yzJpMmTVJCQoJ5T9TZuv/%2B%2B3Xs2DH97ne/U8uWLfX1119r8eLF%2Bs9//qNnn31WoaGh5vy5ublKTEzUmDFjdPz4cWVlZalLly4aMmSIOV9wcLCmTJmijIwMpaWlqXfv3lq/fr2WLFmiJ598Uk2aNDFrU1NTlZ2draFDh2rnzp2KiorSnDlzVFVVpccff/yc%2BgAAAOc3229yr0l4eLjuvfdezZgxQ6NGjTrr191xxx2aP3%2B%2BXnzxRR05ckSNGjVSfHy8pk%2Bf7nG2qVWrVlq3bp3GjRuniRMnKigoSMnJycrKyvI60zRixAgFBQVpxowZWrFihVq3bq3s7Gw98MADHnVOp1OrVq1SZmamZs2aJbfbrYSEBC1cuFAdOnT4ZX8gAADgvOKTgFWtppvGzyQtLU1paWlnVduxY0etWrXqrGrT09OVnp7%2Bk3WNGzfWvHnzNG/evLOaFwAAXJjqPGCdOHFC69evV1ZWlsdN5AAAAOcL2wJWYGBgje8irKyslGEYatmypV544QW7dg8AAOAztgWsP//5z14By%2BFwqGnTpubT3HnnHQAAOB/ZFrCeeOIJu6YGAACo15y%2BXgAAAMD5xrYzWMOHDz/n1zgcDs2dO9eG1QAAANQd2wLWqlWr5Ha7VVpaKumHD32WpOPHj0uSIiIivD4g%2BWw%2BWgcAAKC%2Bs%2B0S4bvvvqvQ0FCvrrV4AAAgAElEQVRNmDBBxcXFOnr0qI4ePari4mJlZmYqLCxM7733ng4cOGB%2B7d%2B/367lAAAA1BnbzmBlZGSoV69emjZtmsd4ixYt9PTTT8vlcikjI0PvvvuuXUsAAADwCdvOYG3atEndunWrdXu3bt20ceNGu3YPAADgM7YFrCZNmmj16tW1bl%2B1apUaN25s1%2B4BAAB8xraANXz4cC1fvlwDBgzQ2rVrdfDgQR08eFAFBQW67bbbtHLlSt1///127R4AAMBnbLsH69FHH5Xb7daMGTP05ptvemwLCAjQn/70Jz322GN27R4AAMBnbAtYDodDTz31lMaOHavVq1eb7xC85JJL1KtXL1188cV27RoAAMCnbAtY1Zo3b667777b7t0AAADUG7Z%2BVE5VVZVyc3M1atQoDRw4UDt27JAkHTt2TMuXL9fhw4ft3D0AAIBP2Bawjh07pu7duystLU0LFixQfn6%2BGahCQ0M1YsQIPffcc3btHgAAwGdsC1gPPfSQPv74Y61cuVL79u2TYRjmtgYNGig1NVXvvPOOXbsHAADwGdsC1htvvKEHHnhAt9xyi5xO793ExsZq3759du0eAADAZ2wLWN9%2B%2B60uvfTSWrefPn1aFRUVdu0eAADAZ2wLWO3atdO2bdtq3f7ee%2B%2BpY8eOdu0eAADAZ2wLWOnp6Xr55ZeVl5dnjjkcDlVUVGjy5Ml65513NHz4cLt2DwAA4DO2PQdr7Nix%2BuSTTzRw4EBFRkZKku6%2B%2B265XC6dOnVK6enpuu%2B%2B%2B%2BzaPQAAgM/Y%2BiT3V155Rffcc49yc3O1d%2B9eVVVVqV27dkpLS1OPHj3s2jUAAIBP2RKwTp48qTVr1qhNmzZKTExUYmKiHbsBAACol2y5BysoKEj9%2B/fX%2B%2B%2B/b8f0AAAA9ZotAcvhcKh9%2B/YqLS21Y3oAAIB6zdYnub/wwgv67LPP7NoFAABAvWTbTe7btm1T06ZN1alTJ/Xs2VNt27ZVSEiIR43D4dCMGTPsWgKAemL//v1yuVy%2BXsbP8umnn/p6CQD8kG0BKzs72/x%2B9erVNdYQsIDz3/79%2B3XZrzuq3H3C10sBgDpjW8DiY3AASJLL5VK5%2B4TapmQqJKqNr5dzzr77bItK1i/09TIA%2BBlLA9akSZN0xx136Morr1RAQICVUwPwcyFRbRTaor2vl3HO3K4Dvl4CAD9k6U3u06ZN044dO8yfjxw5ooCAAP2///f/rNwNAABAvWbbuwirGYZh9y4AAADqFdsDFgAAwIWGgAUAAGAxy99FuG/fPm3dulWSdPToUUnS3r171aRJkxrru3btavUSAAAAfMrygPXoo4/q0Ucf9RgbOXKkV51hGHI4HKqsrLR6CQAAAD5lacB65ZVXrJwOAADAL1kasO655x4rp/NSWFioBQsWaO3atdq3b58iIyN1zTXX6IknnlCHDh08anfv3q0HH3xQH3zwgYKCgtS3b189%2B%2ByzioqK8pp3/vz5mjFjhr788ku1bt1ao0ePVkZGhlfd0aNHlZmZqTfffFMnTpxQQkKCZsyYoauuusq2ngEAgP%2Bx7Unudnj66af14YcfauDAgbryyiv19ddfa9asWeratav%2B9a9/qVOnTpKkoqIide/eXU2bNtW0adN0/PhxTZ8%2BXTt27NDmzZvVoMF/2547d65GjBihgQMHavz48Xr//fc1evRoud1uZWZmmnWGYahPnz765JNPNGHCBEVGRmrOnDlKTEzU1q1b1a5duzr/8wAAAPWTXwWs8ePH69VXX/UISGlpabriiis0bdo0LVz4w8dZTJ06VW63W9u3b1fLli0lSVdffbV69eqlBQsWaNiwYZKk8vJyPfLII%2BrXr59ef/11SVJ6eroqKys1ZcoUDR8%2BXI0bN5YkLVu2TBs3blReXp769%2B8vSRo4cKBiY2M1efJkLVq0qM7%2BHAAAQP3mV49puOaaazzClSS1b99enTt39vjE%2B/z8fCUnJ5vhSpJ69uyp2NhYLV261BwrKChQaWmp1034o0aNUllZmVauXGmO5eXlqUWLFma4kqSoqCilpaXprbfe4rMXAQCAya8CVm0OHTpk3ltVXFysw4cPq1u3bl51CQkJ2rZtm/lz9ffx8fEedfHx8XI6nV61NT1SIiEhQSdOnNCePXss6QUAAPg/vw9YixYtUlFRke644w5JUklJiSQpOjraqzY6OlqlpaXm2aaSkhIFBAR43fgeGBioyMhIFRcXm2MlJSW1zinJoxYAAFzY/Dpg7d69WxkZGbr%2B%2Bus1ePBgSZLb7ZYkNWzY0Ks%2BODjYo8btdisoKKjGuYODg8266tra5jQMw6MWAABc2Pw2YB06dEh9%2B/ZV06ZNtWzZMjkcDklSSEiIJOnkyZNerykvL/eoCQkJ0alTp2qcv7y83Kyrrq1tTofD4VELAAAubH71LsJqx44dU1JSko4dO6YNGzaoRYsW5rbqS3bVlwp/rKSkRBEREQoMDDRrKysr5XK5PC4TVlRU6MiRI4qJifGYt7Y5JXnU1mbs2LHmuxKrDRo0SIMGDfrJ1wIAgNqV7lyr0l1rPcZOHXP5ZjHyw4B18uRJJScn67PPPtOaNWt02WWXeWyPiYlRs2bNVFhY6PXazZs3Ky4uzvw5Li5OhmGosLBQSUlJ5viWLVtUVVXlVbthwwavOTdt2qTQ0FDFxsb%2B5NpnzpzJZy8CAGCDiM6Jiuic6DF2ZEeB9i1/xifr8atLhFVVVUpLS9O//vUv5ebmKiEhoca6AQMG6O2331ZRUZE5tmbNGu3Zs0dpaWnmWI8ePRQREaGcnByP1%2Bfk5CgsLEx9%2B/Y1x1JTU3Xo0CHl5%2BebYy6XS7m5uUpJSTHPigEAAPjVGaxx48ZpxYoVSklJkcvl0uLFiz2233nnnZKkSZMmKTc3V4mJiRozZoyOHz%2BurKwsdenSRUOGDDHrg4ODNWXKFGVkZCgtLU29e/fW%2BvXrtWTJEj355JNq0qSJWZuamqrs7GwNHTpUO3fuVFRUlObMmaOqqio9/vjjddE%2BAADwE34VsD7%2B%2BGM5HA6tWLFCK1as8NpeHbBatWqldevWady4cZo4caKCgoKUnJysrKwsrzNNI0aMUFBQkGbMmKEVK1aodevWys7O1gMPPOBR53Q6tWrVKmVmZmrWrFlyu91KSEjQwoULvT4HEQAAXNj8KmAVFBScdW3Hjh21atWqs6pNT09Xenr6T9Y1btxY8%2BbN07x58856HQAA4MLjV/dgAQAA%2BAMCFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFjM7wLW999/r8mTJ%2BuWW25RZGSknE6nFi5cWGPt7t27lZSUpEaNGikyMlKDBw%2BWy%2BWqsXb%2B/Pnq1KmTQkJCFBsbq9mzZ9dYd/ToUQ0fPlzNmzdXeHi4evTooW3btlnWHwAA8H9%2BF7BcLpemTJmi3bt3Ky4uTg6Ho8a6oqIide/eXV988YWmTZumzMxMrVy5UjfffLNOnz7tUTt37lzdd999uuKKKzR79mxdd911Gj16tKZPn%2B5RZxiG%2BvTpo9dee83c/s033ygxMVGff/65bT0DAAD/0sDXCzhXMTEx%2Bvrrr9W8eXN99NFHuvrqq2usmzp1qtxut7Zv366WLVtKkq6%2B%2Bmr16tVLCxYs0LBhwyRJ5eXleuSRR9SvXz%2B9/vrrkqT09HRVVlZqypQpGj58uBo3bixJWrZsmTZu3Ki8vDz1799fkjRw4EDFxsZq8uTJWrRokd3tAwAAP%2BB3Z7ACAwPVvHnzn6zLz89XcnKyGa4kqWfPnoqNjdXSpUvNsYKCApWWlmrkyJEerx81apTKysq0cuVKcywvL08tWrQww5UkRUVFKS0tTW%2B99ZYqKip%2BSWsAAOA84XcB62wUFxfr8OHD6tatm9e2hIQEj3umqr%2BPj4/3qIuPj5fT6fSq7dq1a41znjhxQnv27LGqBQAA4MfOy4BVUlIiSYqOjvbaFh0drdLSUvNsU0lJiQICAhQVFeVRFxgYqMjISBUXF3vMW9uckjxqAQDAheu8DFhut1uS1LBhQ69twcHBHjVut1tBQUE1zhMcHGzWVdfWNqdhGB61AADgwnVeBqyQkBBJ0smTJ722lZeXe9SEhITo1KlTNc5TXl5u1lXX1janw%2BHwqAUAABcuv3sX4dmovmRXfanwx0pKShQREaHAwECztrKyUi6Xy%2BMyYUVFhY4cOaKYmBiPeWubU5JHbU3Gjh1rviOx2qBBgzRo0KCz7AwAANSkdOdale5a6zF26ljNz76sC%2BdlwIqJiVGzZs1UWFjotW3z5s2Ki4szf46Li5NhGCosLFRSUpI5vmXLFlVVVXnVbtiwwWvOTZs2KTQ0VLGxsWdc18yZM2u8SR4AAPwyEZ0TFdE50WPsyI4C7Vv%2BjE/Wc15eIpSkAQMG6O2331ZRUZE5tmbNGu3Zs0dpaWnmWI8ePRQREaGcnByP1%2Bfk5CgsLEx9%2B/Y1x1JTU3Xo0CHl5%2BebYy6XS7m5uUpJSTHPigEAgAubX57BeuGFF/Tdd9%2BZ4Wn58uU6cOCAJGn06NFq1KiRJk2apNzcXCUmJmrMmDE6fvy4srKy1KVLFw0ZMsScKzg4WFOmTFFGRobS0tLUu3dvrV%2B/XkuWLNGTTz6pJk2amLWpqanKzs7W0KFDtXPnTkVFRWnOnDmqqqrS448/Xpd/BAAAoB7zy4CVlZWl/fv3S5IcDofeeOMNvfHGG5Kku%2B%2B%2BW40aNVKrVq20bt06jRs3ThMnTlRQUJCSk5OVlZXldaZpxIgRCgoK0owZM7RixQq1bt1a2dnZeuCBBzzqnE6nVq1apczMTM2aNUtut1sJCQlauHChOnToUDfNAwCAes8vA9aXX355VnUdO3bUqlWrzqo2PT1d6enpP1nXuHFjzZs3T/PmzTureQEAwIXnvL0HCwAAwFcIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUa%2BHoBF5I333xT27Zt8/UyfpZbb71VUVFRvl4GAAB%2BgYBVh6ZMmeLrJfxsa9as0ZIlS3y9DAAA/AIBqw51vHeWQlu09/Uyztlnyx5XWVmZr5cBAIDf4B4sAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIvxLkLAD%2Bzfv18ul8vXy/hZPv30U18vAQDqHAELqOf279%2Bvy37dUeXuE75eCgDgLBGwgHrO5XKp3H1CbVMyFRLVxtfLOWfffbZFJesX%2BnoZAFCnCFiAnwiJauOXD6p1uw74egkAUOe4yR0AAMBiBCwAAACLEbDO0alTp/TnP/9ZLVu2VGhoqK655hq99957vl4WAACoRwhY5%2Biee%2B5Rdna27r77bj3//PNq0KCB%2BvTpow8//NDXSwMAAPUEN7mfg82bN%2Bv111/XjBkzNHbsWEnS3Xffrcsvv1wTJkzQhg0bfLzCuvHqq69q0KBBvl7GOTmb50j94x//UFJSUh2t6Oz90udIle5cq4jOidYspp44H3uS6Mvf0BfOhIB1DnJzc9WgQQPdd9995ljDhg2Vnp6uhx9%2BWEVFRWrZsqUPV1g3/C1gnctzpB5%2B%2BOE6WFHdKt11/v3H8nzsSaIvf0NfOBMC1jnYvn27YmNjFR4e7jGekJBgbj9fA9aJEye0detWSdLRo0fN7/3Bp59%2BelbPkTrw7ly17nV/Ha7s7PAcKQDwPwSsc1BSUqLo6Giv8ejoaBmGoeLiYh%2Bsyn5VFSdVsPYjxcfHm2M//t5f/NRzpAKCw%2Brlc6Z4jhQA%2BB8C1jlwu91q2LCh13hwcLC5/XxkVJ5WVeVp8wxQfT3TUxvOAAEA6hoB6xyEhITo5MmTXuPl5eXm9ppUB699K7MVEFRzTX124tDnkqST3x2S5FDlKbdfnVWpOH5E0g9B60zrPnXMpSM7CupqWWet7MBOST%2B9/tr4uq9fuv6a1GVPdqy/Nnb0VZfrr80v6as%2BrL82Z9NXfV5/bX7clz%2Bu/8eq1%2B%2BTEyAGzlqvXr2Mzp07e42vWbPGcDgcxttvv13j6xYtWmRI4osvvvjiiy%2B%2BfPC1aNEiuyOCF85gnYO4uDitXbtWZWVlHje6b9q0SQ6HQ3FxcTW%2Brnfv3lq0aJHatm1b61kuAABgLbfbrX379ql37951vm%2BHYRhGne/VT23evFnXXHONsrKyNG7cOEk/PNn98ssvV7NmzfTBBx/4eIUAAKA%2B4AzWOUhISNDAgQM1ceJEHTp0SO3bt9eCBQv01Vdf6ZVXXvH18gAAQD3BGaxzdOrUKT366KNatGiRvv32W1155ZV64okndNNNN/l6aQAAoJ4gYAEAAFiMD3sGAACwGAHrAvD9999r8uTJuuWWWxQZGSmn06mFC2t%2B8Obs2bPVqVMnBQcHq1WrVho/frxOnPD8DL%2B//e1vcjqdtX69%2BuqrXvO%2B99576tmzp5o0aaKLLrpI3bp107Jly%2BpVX5J07NgxTZgwQbGxsQoNDVXbtm01bNgwHTjg%2BfyXr7/%2BWg899JB69Oihiy66SE6nU%2BvXr/9F/dSHvqr5y/E6fPiwhg4dqosvvlihoaGKj49Xbm6uV52/Ha%2Bz7aua1cersLBQGRkZuvzyyxUeHq5LLrlEt99%2Bu/bu3etVu3v3biUlJalRo0aKjIzU4MGDa/1g9fnz56tTp04KCQlRbGysZs%2Be7VVj57HyZV/V7PjdsqOvnJwcpaWl6ZJLLpHT6dS9995b477tPF5%2Br84fDIE6t2/fPsPhcBht27Y1evToYTidTuNvf/ubV92ECRMMh8Nh3H777cbcuXONMWPGGIGBgUZSUpJH3ZdffmksXrzY6ys%2BPt4IDAw0Dh065FH/8ssvG06n00hKSjLmzJljzJ071xg3bpwxY8aMetVXVVWVcfXVVxuNGjUyHnroIWP%2B/PnGxIkTjYsuusho3bq1UVZWZtauXbvWcDqdxmWXXWZcf/31htPpNNatW/eL%2BqkPfRmG/xyvY8eOGe3btzcaN25sTJ482ZgzZ46RmJhoOBwO49VXX/Wo9afjdS59GYY9xys1NdWIiYkxxowZY8yfP9%2BYOnWq0aJFCyM8PNzYuXOnWXfw4EEjKirK6NChgzF79mzjqaeeMiIiIoyrrrrKqKio8JjzxRdfNBwOh5GWlmb89a9/Ne655x7D4XAYzzzzjEedncfKl30Zhn2/W3b01bZtWyMqKsro06ePERQUZAwdOrTGfdt5vPwdAesCcOrUKTP0FBYWGg6Hw%2BsfgJKSEiMwMNAYMmSIx/js2bMNp9NZ60NUq7ndbuOiiy7y%2Bsdi3759RmhoqDF27FgLOvFkdV8ffvih4XA4jJycHI/aV155xXA6ncabb75pjpWVlRnffvutYRiGkZuba%2Bl/VHzZlz8dr2eeecZwOp3G2rVrzbGqqiojISHBiImJ8fgHw5%2BO17n0Zdfx2rhxo9c/uHv37jWCg4ONu%2B%2B%2B2xwbMWKEERYWZhw8eNAce%2B%2B99wyHw2G89NJL5pjb7TaioqKMlJQUjznvuusuo1GjRsZ3331njtl5rHzZl52/W1b3ZRiGsX//fvP78PDwWgOWncfL33GJ8AIQGBio5s2bn7Fm48aNqqys1O233%2B4xfscdd8gwDL322mtnfP3y5ct1/Phx3XnnnR7jOTk5qqqq0l/%2B8hdJP1xOsYrVfR07dkySvOZs0aKFJM%2BPQgoLC1OTJk1%2B0fpr48u%2B/Ol4bdiwQc2aNdMNN9xgjjkcDqWlpenrr7/WunXrzHF/Ol7n0pddx%2Buaa65RgwaeT/Fp3769OnfurE8//dQcy8/PV3Jyslq2bGmO9ezZU7GxsVq6dKk5VlBQoNLSUo0cOdJjzlGjRqmsrEwrV640x%2Bw8Vr7sy87fLav7kqTWrVuf1b7tPF7%2BjoAFSTI/Y/F/nzQfGhoqSfroo4/O%2BPrFixcrNDRU/fv39xhfs2aNfv3rX2vlypVq3bq1ed3/sccek1EHb2A9l766deumsLAwPfrooyooKFBxcbHWrVunP//5z0pISKhXj%2BKwqy9/Ol4nT56s8ZMRQkNDZRjGT/6drUt29VXXx%2BvQoUOKioqSJBUXF%2Bvw4cPq1q2bV11CQoK2bdtm/lz9fXx8vEddfHy8nE6nR60v1EVfvvjd%2Brl9wRoELEiSLrvsMhmG4fU0%2BuqbFYuKimp97bfffqvVq1crJSVFYWFhHtv27t2r/fv3695779WwYcOUl5enPn366IknntAjjzxifSP/41z6ioyM1NKlS/Xdd9%2BpZ8%2BeatWqlW688Ua1bNlSa9askdNZf35d7OrLn47XZZddpoMHD3rdqL9%2B/Xo5HI4z/p2ta3b1VZfHa9GiRSoqKtIdd9whSSopKZEkRUdHe9VGR0ertLRUFRUVZm1AQID5j321wMBARUZGqri42NK1nou66quuf7d%2BSV%2BwBk9yhyTpqquu0m9%2B8xs9/fTTiomJ0Y033qhdu3Zp5MiRCgwMPOMnkS9btkwVFRVelwclqaysTIZh6Omnn9af/vQnSVL//v115MgRPffcc5o0aZJXKPNlX1FRUeratat%2B%2B9vfqlOnTtq%2BfbuefvppDRkyxOsUui/Z1Zc/Ha9hw4bpxRdf1MCBAzVz5kxdfPHFev311/Xmm29K0hn/ztY1u/qqq%2BO1e/duZWRk6Prrr9fgwYM91tGwYUOv%2BuDgYLOmur%2BgoKAa5w4ODvbZsarLvuryd%2BuX9gVr1J//JYfP5efnq0uXLkpPT9evfvUr3Xrrrbr99tt11VVXeXy49f9avHixIiIilJSU5LWt%2BlJH9f9FVRs0aJDcbnednJY%2B276%2B%2BOIL3XjjjUpPT9ef//xn9evXT48%2B%2BqjmzJmj3NxcrV692va1ngs7%2BvKn43XFFVfo1Vdf1RdffKHf/va3at%2B%2BvWbPnq3nnntOhmGc8e%2BsL9jRV10cr0OHDqlv375q2rSpli1bJofD4bHv6sufP1ZeXu5RExISolOnTtU4f3l5eY2XRO1W133V1e%2BWFX3BGpzBgik6Olrr16/X559/rq%2B//lodOnRQ8%2BbN1bJlS8XGxtb4mgMHDmjDhg364x//qICAAK/tMTEx%2Buyzz3TxxRd7jDdv3lyGYejbb7%2B1pZcfO9u%2BFixYoJMnT6pv374er09JSZEkffDBBz75RPba2NGXPx0vSbrtttuUkpKijz/%2BWJWVleratasKCgokqda/s75iR192H69jx44pKSlJx44d04YNG8w3RlT3I/330tOPlZSUKCIiwjwbEh0drcrKSrlcLo/LaRUVFTpy5IhiYmJ%2B0TrPlS/6qovfLav6gjU4gwUv7dq10/XXX6/mzZtr165dKikpUa9evWqsXbJkiSTVeHlQ%2Bu/Nn/97P0xRUZEcDoeaNWtm4crP7Kf6Onz4sAzDUGVlpcfrqu9LOH36dJ2t9VxY2Zc/Ha9qDRo0UHx8vBISEtSgQQO9%2B%2B67cjgc9epNCT9mZV92Hq%2BTJ08qOTlZn332mVauXKnLLrvMY3tMTIyaNWumwsJCr9du3rxZcXFx5s9xcXEyDMOrdsuWLaqqqvKotZuv%2BrL7d8vKvmANAhZqZRiGJkyYoLCwMN1///011rz66qtq06aNrrvuuhq333777TIMQ/Pnz/eY95VXXlFERITXu2/qQm19xcbGqqqqyuteqyVLlsjhcKhr1651vdRz8nP7uuqqq8wxfzpeNdm7d6/mzp2rfv36qX379nW0wp/Hir7sOl5VVVVKS0vTv/71L%2BXm5iohIaHGugEDBujtt9/2CA1r1qzRnj17lJaWZo716NFDERERysnJ8Xh9Tk6OwsLCvM6u2sWXfdn5u2V1X7AGlwgvEC%2B88IK%2B%2B%2B478xdr%2BfLl5ruURo8erUaNGunBBx9UeXm54uLiVFFRocWLF6uwsFALFy5Uq1atvObcsWOH/v3vf2vSpEm17vfWW29Vz5499dRTT%2Bmbb75Rly5d9MYbb%2BjDDz/UvHnzfvEpaSv7GjJkiLKysnT//fdr69at6ty5sz766CPNnz9fl19%2BuX7/%2B9977PuJJ56Qw%2BHQzp07ZRiGFi5cqPfff1%2BS9PDDD/tNXz9%2BtIY/HS9J6ty5swYOHKg2bdroiy%2B%2B0IsvvqioqCivf/Ak/zle59KXXcdr3LhxWrFihVJSUuRyubR48WKP7dVnrCdNmqTc3FwlJiZqzJgxOn78uLKystSlSxcNGTLErA8ODtaUKVOUkZGhtLQ09e7dW%2BvXr9eSJUv05JNPej1Hya5j5cu%2B7PzdsrovSXr77bf18ccfyzAMVVRU6OOPP9bUqVPNXi6//HKz1s7fLb9m/bNLUR%2B1bdvWcDqdNX599dVXhmEYxoIFC4yrrrrKaNSokdG4cWOjV69eZ3wi78SJEw2n02ns2LHjjPv%2B/vvvjbFjxxoxMTFGcHCw0aVLlxo/8qM%2B9FVcXGwMGzbMaNeunREcHGy0bNnS%2BOMf/2gcOXLEq9bhcNS434CAAL/uy5%2BO1x/%2B8AfjkksuMYKDg41WrVoZo0aNMr755psaa/3peJ1LX3Ycr8TExFr7cTqdHrW7du0ykpKSjPDwcCMiIsIYPHiwcfjw4Rrn/etf/2p07GvXNb0AAACrSURBVNjRCA4ONjp06GA8//zzNdbZdax83Zddv1t29DVkyJBa5/vfTyqw83fLnzkMow6eHggAAHAB4R4sAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAAP%2B/3ToWAAAAABjkbz2JnUURM8ECAJgJFgDATLAAAGaCBQAwEywAgJlgAQDMBAsAYCZYAAAzwQIAmAkWAMBMsAAAZoIFADALx5bCdZHug10AAAAASUVORK5CYII%3D\">\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>sampleDepthUnit</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td>m</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">sampleFractionType<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>3</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-1455852626530523405\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Total</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 93.7%\">\n",
+       "            27685\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Dissolved</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:7%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 6.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1831\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Non-filter</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        15\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-1455852626530523405, #minifreqtable-1455852626530523405\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1455852626530523405\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Total</td>\n",
+       "        <td class=\"number\">27685</td>\n",
+       "        <td class=\"number\">93.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Dissolved</td>\n",
+       "        <td class=\"number\">1831</td>\n",
+       "        <td class=\"number\">6.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Non-filter</td>\n",
+       "        <td class=\"number\">15</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">sampleLowerDepth<br/>\n",
+       "            <small>Numeric</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>2</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>0.1%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"alert\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>91.4%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"alert\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>27006</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "\n",
+       "                <tr>\n",
+       "                    <th>Mean</th>\n",
+       "                    <td>2</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>2</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>2</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Zeros (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram6469317451415776097\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAAv5JREFUeJzt3TFIG1Ecx/FfjiI9xe2EIhgvUkyzODgLjtm6uTk4iZuDdM7okMFdcHu72EFw0cmpkzqkhYLhilDhBnHw7OJ1iiCt/ySFu5fQ7wfeIPzjvYT3JVwIRLkHzrlcEos11HLOlX5W38iDOI4lSc45NRoNH1vAGOl0OlpfX38%2BN2XyEkgYhpKkRqOh5eVlH1vAGOqdmzIFpV8RGCMEAhgIBDAQCGDwcpOO1yVJojRNB56PokjVarXAHf3fCGSEJEmi%2BoeGHrOHgR/zNpzUt68dIikIgYyQNE31mD0o/vhJYdT/wGdpou7nttI0JZCCEMgICqOqJt%2B9970NiJt0wEQggIFAAAOBAAYCAQwEAhgIBDAQCGAgEMBAIICBQAADgQAGAgEMBAIYCAQwEAhgIBDAQCCAgUAAA4EABgIBDAQCGAgEMBAIYCAQwEAggIFAAAOBAAYCAQwEAhgIBDAQCGAgEMBAIICBQAADgQAGAgEMXn7lNssySVKn0xlo/vT0VK1Wa%2BD/v7Ozo3q9PvB8EAR6enoqZH6Y2evra0nS3fcvytIffed/3f2UJB0fHw/0Whb5PIedj6JIMzMzA832nlvv3JQq98A5l0tisYZazrnSz2olz/NcJUvTVCcnJ4rjWGEYln15jJksy9TtdtVsNhVFUanX9hIIMC64SQcMBAIYCgtke3tbtVpNQRDo8vKy7/zGxoaCIND9/X1RWwKGVlgga2trOj8/VxzHfWcPDw81MTGhSqVS1HaAf1JYICsrK5qdnVW/zwBub2%2B1u7urvb29vrNA2bzfg2xubqrdbmtqasr3VoA/eA3k4OBA8/PzWl1d9bkN4FVeAzk7O9PR0ZEWFhZUq9UkSUtLS7q4uPC5LeCZl%2B9i9TjnXvwdBIGurq40PT3taUfAS4W9g2xtbWlubk43NzdqNptaXFyUJLVaLe3v7//1MZVKhRt1jBS%2BagIYvH%2BKBYwyAgEMBAIYCAQwEAhgIBDAQCCAgUAAA4EABgIBDAQCGAgEMPwGaweVbvJBiN4AAAAASUVORK5CYII%3D\">\n",
+       "\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives6469317451415776097,#minihistogram6469317451415776097\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives6469317451415776097\">\n",
+       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
+       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles6469317451415776097\"\n",
+       "                                                  aria-controls=\"quantiles6469317451415776097\" role=\"tab\"\n",
+       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#histogram6469317451415776097\" aria-controls=\"histogram6469317451415776097\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#common6469317451415776097\" aria-controls=\"common6469317451415776097\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#extreme6469317451415776097\" aria-controls=\"extreme6469317451415776097\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
+       "\n",
+       "    </ul>\n",
+       "\n",
+       "    <div class=\"tab-content\">\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles6469317451415776097\">\n",
+       "            <div class=\"col-md-4 col-md-offset-1\">\n",
+       "                <p class=\"h4\">Quantile statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Minimum</th>\n",
+       "                        <td>2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>5-th percentile</th>\n",
+       "                        <td>2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q1</th>\n",
+       "                        <td>2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Median</th>\n",
+       "                        <td>2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q3</th>\n",
+       "                        <td>2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>95-th percentile</th>\n",
+       "                        <td>2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Maximum</th>\n",
+       "                        <td>2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Range</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Interquartile range</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "            <div class=\"col-md-4 col-md-offset-2\">\n",
+       "                <p class=\"h4\">Descriptive statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Standard deviation</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Coef of variation</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Kurtosis</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Mean</th>\n",
+       "                        <td>2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>MAD</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr class=\"\">\n",
+       "                        <th>Skewness</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Sum</th>\n",
+       "                        <td>5050</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Variance</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Memory size</th>\n",
+       "                        <td>230.8 KiB</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram6469317451415776097\">\n",
+       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3X9YVHXe//HXgOCAGCpgQpqWSmk/JDHutnJjMfM3e6tAcZuuLureJlrqF1ddW9s1y1ZdudfC1b3dyjVZEzQjQzfNUrdMEftlmbZlGaA1kig6IMH5/tHF3M0O5A/OYRh5Pq5rrks%2B530%2Bn8/5hJ2X55yZsRmGYQgAAACm8fP2BAAAAK40BCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATOZTAeujjz5SSkqKunbtqlatWikiIkL33HOPXnnlFY/aQ4cOaeDAgWrdurXCwsI0ZswYORyOOvtdtWqVevbsqaCgIEVHR%2Bvpp5%2Bus66srEwTJ05U%2B/btFRISooSEBB04cMDUYwQAAL6vhbcncCm%2B%2BOILlZeXa%2BzYsYqKitK5c%2BeUm5urxMRErVy5UuPHj5ckFRUVqW/fvmrbtq0WLlyoM2fOaNGiRfrwww%2B1d%2B9etWjxf4e9YsUKTZo0ScnJyZoxY4Z27dqlqVOnyul0KiMjw1VnGIYGDx6sDz74QDNnzlRYWJiysrIUHx%2BvwsJCde3atdHXAwAANE02wzAMb0%2BiIQzDUO/evVVZWamPPvpIkvTQQw9p9erV%2BuSTT3TNNddIkrZv367%2B/fu7BbGKigp16tRJd955pzZt2uTqc/To0dq0aZOOHTum0NBQSdKLL76oBx54QLm5uRo%2BfLgkyeFwKDo6WoMHD9aaNWsa87ABAEAT5lO3COtis9nUqVMnnTp1ytW2YcMGDR061BWuJKlfv36Kjo7Wiy%2B%2B6GrbsWOHSktL9dBDD7n1OXnyZJWXl2vz5s2uttzcXHXo0MEVriQpPDxcKSkp2rRpk6qqqqw4PAAA4IN8MmCdO3dOJ0%2Be1GeffaalS5cqPz9f9957rySpuLhYX3/9tfr06eOxX1xcnNszU7V/jo2NdauLjY2Vn5%2BfR23v3r3r7PPcuXM6fPiwKccGAAB8n08GrBkzZigiIkLdunVTRkaGRowYoWXLlkmSSkpKJEmRkZEe%2B0VGRqq0tNR1tamkpET%2B/v4KDw93qwsICFBYWJiKi4tdbSUlJfX2KcmtFgAANG8%2B9ZB7rWnTpik5OVnFxcV68cUXVV1drcrKSkmS0%2BmUJLVs2dJjP7vd7qoJCAiQ0%2BlUYGBgnWPY7XZXX7X71NenYRhutQAAoHnzyYAVHR2t6OhoSdKDDz6oAQMGKDExUXv27FFQUJAkuQLXD1VUVEiSqyYoKEjnz5%2Bvc4yKigpXXW1tfX3abDa32n/ncDi0detWdenS5UfrAACAeZxOp44ePaoBAwZ43K2ymk8GrH%2BXlJSk//7v/9aRI0dct%2BxqbxX%2BUElJidq1a6eAgABJ39/eq66ulsPhcFv4qqoqnTx5UlFRUa62yMjIevuU5Fb777Zu3aoHH3zw8g4OAAA0yJo1azRq1KhGHfOKCFi1t%2BfKysrUvXt3RUREqKCgwKNu7969iomJcf0cExMjwzBUUFCggQMHutr37dunmpoaj9rdu3d79Llnzx4FBwe7rqjVpUuXLpK%2B/w/co0ePSz4%2BfH9beOnSpd6ehs9i/RqG9WsY1q9hWL/L9/HHH%2BvBBx90nYcbk08FrG%2B%2B%2BUYRERFubd99952ef/55BQUFqWfPnpKkkSNHavXq1SoqKnL7HKzDhw9rxowZrn0TEhLUrl07LV%2B%2B3C1gLV%2B%2BXK1atdKQIUNcbUlJScrNzdWGDRs0YsQISd/f%2BsvJyVFiYqLrqlhdam8L9ujRo853IuLCQkNDWbsGYP0ahvVrGNavYVi/hvPG4zk%2BFbB%2B9atf6fTp0/rpT3%2Bqa665RsePH9cLL7ygTz75RH/84x8VHBwsSZozZ45ycnIUHx%2Bvhx9%2BWGfOnNHixYvVq1cvjR071tWf3W7X/PnzlZ6erpSUFA0YMEA7d%2B7U2rVr9cQTT6hNmzau2qSkJGVmZmrcuHE6ePCgwsPDlZWVpZqaGj322GONvBIAAKAp86mA9cADD2jVqlX685//rJMnT6p169aKjY3VokWL3K42dezYUW%2B%2B%2BaamT5%2Bu2bNnKzAwUEOHDtXixYs9rjRNmjRJgYGBWrJkifLy8tSpUydlZmZqypQpbnV%2Bfn7Kz89XRkaGli1bJqfTqbi4OK1evVrdu3dvlOMHAAC%2BwacCVkpKilJSUi6qtkePHsrPz7%2Bo2rS0NKWlpV2wLjQ0VCtXrtTKlSsvql8AANA8%2BeQHjaL5SU1N9fYUfBrr1zCsX8Owfg3D%2Bvkmn/%2ByZ19QWFio2NhY7d%2B/nwcVAQBoJN48/3IFCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQ%2BFbAKCgqUnp6um2%2B%2BWSEhIercubPuv/9%2BHTlyxK1u3Lhx8vPz83j17Nmzzn5XrVqlnj17KigoSNHR0Xr66afrrCsrK9PEiRPVvn17hYSEKCEhQQcOHDD9OAEAgG9r4e0JXIqnnnpKb731lpKTk3Xrrbfq%2BPHjWrZsmXr37q133nnHLUDZ7XatWrVKhmG42kJDQz36XLFihSZNmqTk5GTNmDFDu3bt0tSpU%2BV0OpWRkeGqMwxDgwcP1gcffKCZM2cqLCxMWVlZio%2BPV2Fhobp27WrtwQMAAN9h%2BJC3337bqKqqcms7cuSIYbfbjdGjR7vaxo4da7Ru3fqC/TmdTiM8PNxITEx0a3/wwQeN1q1bG6dOnXK1rVu3zrDZbMaGDRtcbd98843Rtm1bY9SoUT86zv79%2Bw1Jxv79%2By84JwAAYA5vnn996hbhHXfcoRYt3C%2B6devWTTfddJM%2B/vhjj/qamhqdOXOm3v527Nih0tJSPfTQQ27tkydPVnl5uTZv3uxqy83NVYcOHTR8%2BHBXW3h4uFJSUrRp0yZVVVVd7mEBAIArjE8FrPqcOHFC4eHhbm3nzp3TVVddpdDQUIWFhSk9PV1nz551q6l9fio2NtatPTY2Vn5%2Bfm7PVx04cEC9e/f2GDsuLk7nzp3T4cOHzTocAADg43zqGay6rFmzRkVFRXr88cddbVFRUZo5c6Z69%2B6tmpoabdmyRVlZWXr//ff1xhtvyM/v%2B1xZUlIif39/j3AWEBCgsLAwFRcXu9pKSkp0zz33eIwfGRkpSSouLtZNN91kxSEC8LIvv/xSDofD29OoV3h4uK699lpvTwPAD/h0wDp06JDS09N11113acyYMa72BQsWuNWlpKSoe/fumjt3rnJycpSSkiJJcjqdCgwMrLNvu90up9Pp%2BtnpdKply5Z11hmG4VYL4Mrx5Zdf6oYbe6jCec7bU6mXPShYnxz6mJAFNCE%2BG7BOnDihIUOGqG3btlq/fr1sNtuP1k%2BbNk2PPvqotm3b5gpYQUFBOn/%2BfJ31FRUVCgoKcv0cFBSkysrKOutsNptbLYArh8PhUIXznLokZigovOkFGKfjSx19eZEcDgcBC2hCfDJgnT59WgMHDtTp06e1e/dudejQ4YL72O12hYWFqbS01NUWGRmp6upqORwOt9uEVVVVOnnypKKiotxqS0pKPPqtbfthbX2mTZvm8VERqampSk1NveC%2BALwrKPxaBXfo5u1pAKhHdna2srOz3drKysq8NBsfDFiVlZUaOnSoPv30U23fvl033HDDRe1XXl4uh8OhiIgIV1tMTIwMw1BBQYEGDhzoat%2B3b59qamoUExPjVrt7926Pfvfs2aPg4GBFR0dfcA5Lly6t80F5AADQMHVdsCgsLPR4I1tj8al3EdbU1CglJUXvvPOOcnJyFBcX51FTWVmp8vJyj/bf//73kqRBgwa52hISEtSuXTstX77crXb58uVq1aqVhgwZ4mpLSkrSiRMntGHDBlebw%2BFQTk6OEhMTFRAQ0ODjAwAAVwafuoI1ffp05eXlKTExUQ6HQy%2B88ILb9lGjRun48eO67bbblJqaqhtvvFGStGXLFuXn52vw4MFKTEx01dvtds2fP1/p6elKSUnRgAEDtHPnTq1du1ZPPPGE2rRp46pNSkpSZmamxo0bp4MHDyo8PFxZWVmqqanRY4891ijHDwAAfINPBaz33ntPNptNeXl5ysvL89g%2BatQotWnTRsOGDdO2bdu0evVqVVdXq1u3blq4cKFmzJjhsc%2BkSZMUGBioJUuWKC8vT506dVJmZqamTJniVufn56f8/HxlZGRo2bJlcjqdiouL0%2BrVq9W9e3fLjhkAAPgenwpYO3bsuGBNaGionn/%2B%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%2B%2BfdW2bVstXLhQZ86c0aJFi/Thhx9q7969atHi/w57xYoVmjRpkpKTkzVjxgzt2rVLU6dOldPpVEZGhqvOMAwNHjxYH3zwgWbOnKmwsDBlZWUpPj5ehYWF6tq1a6OvBwAAaJp8KmDNmDFD2dnZbgEpJSVFt9xyixYuXKjVq1dLkhYsWCCn06l3331X11xzjSTp9ttvV//%2B/fXcc89p/PjxkqSKigrNnTtXw4YN07p16yRJaWlpqq6u1vz58zVx4kSFhoZKktavX6%2B3335bubm5Gj58uCQpOTlZ0dHRmjdvntasWdNo6wAAAJo2n7pFeMcdd7iFK0nq1q2bbrrpJn388ceutg0bNmjo0KGucCVJ/fr1U3R0tF588UVX244dO1RaWqqHHnrIrc/JkyervLxcmzdvdrXl5uaqQ4cOrnAlSeHh4UpJSdGmTZtUVVVl2nECAADf5lMBqz4nTpxQeHi4JKm4uFhff/21%2BvTp41EXFxfn9sxU7Z9jY2Pd6mJjY%2BXn5%2BdR27t37zr7PHfunA4fPmzKsQAAAN/n8wFrzZo1Kioq0gMPPCBJKikpkSRFRkZ61EZGRqq0tNR1tamkpET%2B/v6ucFYrICBAYWFhKi4udrWVlJTU26ckt1oAANC8%2BXTAOnTokNLT03XXXXdpzJgxkiSn0ylJatmypUe93W53q3E6nQoMDKyzb7vd7qqrra2vT8Mw3GoBAEDz5rMB68SJExoyZIjatm2r9evXy2azSZKCgoIkSZWVlR77VFRUuNUEBQXp/PnzdfZfUVHhqqutra9Pm83mVgsAAJo3n3oXYa3Tp09r4MCBOn36tHbv3q0OHTq4ttXesqu9VfhDJSUlateunQICAly11dXVcjgcbrcJq6qqdPLkSUVFRbn1W1%2Bfktxq6zNt2jTXuxJrpaamKjU19YL7AgCA%2BmVnZys7O9utrayszEuz8cGAVVlZqaFDh%2BrTTz/V9u3bdcMNN7htj4qKUkREhAoKCjz23bt3r2JiYlw/x8TEyDAMFRQUaODAga72ffv2qaamxqN29%2B7dHn3u2bNHwcHBio6OvuDcly5dWueD8gAAoGHqumBRWFjo8Ua2xuJTtwhramqUkpKid955Rzk5OYqLi6uzbuTIkXrllVdUVFTkatu%2BfbsOHz6slJQUV1tCQoLatWun5cuXu%2B2/fPlytWrVSkOGDHG1JSUl6cSJE9qwYYOrzeFwKCcnR4mJia6rYgAAAD51BWv69OnKy8tTYmKiHA6HXnjhBbfto0aNkiTNmTNHOTk5io%2BP18MPP6wzZ85o8eLF6tWrl8aOHeuqt9vtmj9/vtLT05WSkqIBAwZo586dWrt2rZ544gm1adPGVZuUlKTMzEyNGzdOBw8eVHh4uLKyslRTU6PHHnusMQ4fAAD4CJ8KWO%2B9955sNpvy8vKUl5fnsb02YHXs2FFvvvmmpk%2BfrtmzZyswMFBDhw7V4sWLPa40TZo0SYGBgVqyZIny8vLUqVMnZWZmasqUKW51fn5%2Bys/PV0ZGhpYtWyan06m4uDitXr1a3bt3t%2B6gAQCAz/GpgLVjx46Lru3Ro4fy8/MvqjYtLU1paWkXrAsNDdXKlSu1cuXKi54HAABofnzqGSwAAABfQMACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGSWBaxhw4bpxRdfVGVlpVVDAAAANEmWBayPPvpIDzzwgK6%2B%2BmqlpaXpjTfesGooAACAJsWygPWvf/1L//znPzVq1Cjl5eWpX79%2BuvbaazV79mx9%2BOGHVg0LAADgdZY%2Bg/WTn/xEzzzzjEpKSvTyyy/rrrvu0rJly9SrVy/FxMToj3/8o0pKSqycAgAAQKNrlIfc/f39NWTIEGVnZ%2Burr75SUlKS3n//fWVkZOjaa6/VwIEDtXXr1saYCgAAgOUa7V2Ee/bsUXp6uqKjo7V%2B/Xr16NFDCxYs0MKFC3Xs2DENHjxYv/vd7xprOgAAAJZpYWXnhw8f1po1a7R27Vp9/vnnCg8PV2pqqkaPHq0%2Bffq46mbMmKG0tDQtW7ZM8%2BbNs3JKAAAAlrMsYPXp00cHDhxQYGCghg4dqqVLl2rQoEFq0aLuIe%2B99149%2B%2ByzVk0HAACg0VgWsOx2u7KysnT//ferTZs2F6xPTEzUkSNHrJoOAABAo7EsYO3evfuS6lu1aqWuXbtaNBsAAIDGY9lD7u%2B%2B%2B65WrFhR7/aVK1fq/ffft2p4AAAAr7EsYM2ZM0f5%2Bfn1bt%2B6dat%2B85vfWDU8AACA11gWsAoKCvTTn/603u19%2B/bVvn37rBoeAADAaywLWGfOnFFgYGC92/39/VVWVmbV8AAAAF5jWcDq3r27XnvttXq3/%2BMf/9B1111n1fAAAABeY1nAGjdunPLy8jRz5kydOXPG1X769GllZGTo1Vdf1S9/%2BUurhgcAAPAayz6m4ZFHHlFhYaEWL16szMxMdezYUZL01Vdf6bvvvlNqaqpmzJhh1fAAAABeY1nAstls%2Btvf/qYxY8YoNzdXn332mSRpwIABGjlypO69916rhgYAAPAqS7%2BLUJL69%2B%2Bv/v37Wz0MAABAk2HZM1gAAADNlaUBa9WqVbrzzjvVoUMHtWzZUoGBgW6vli1bWjk8AACAV1h2i3DWrFlatGiRbrnlFiUlJalt27ZWDQUAANCkWBaw/vrXv2r48OHKycmxaggAAIAmybJbhE6nU/fdd59V3QMAADRZlgWsn/3sZ9q/f79V3QMAADRZlgWsrKws7dq1S3/4wx906tQpq4YBAABociwLWLfccouOHTum2bNnKywsTKGhoWrXrp3bKywszKrhAQAAvMayh9yHDBkim81mVfcAAABNlmUBa82aNVZ1DQAA0KTxSe4AAAAmszRgffXVV0pPT9dNN92kiIgI7dq1S5LkcDg0ffp0vfvuu1YODwAA4BWW3SI8dOiQ%2Bvbtq6qqKt1%2B%2B%2B06dOiQqqqqJEnh4eHasWOHTp8%2Brf/93/%2B1agoAAABeYdkVrJkzZyokJESffPKJsrOzZRiG2/YhQ4a4rmhdirNnz2revHkaNGiQwsLC5Ofnp9WrV3vUjRs3Tn5%2Bfh6vnj171tnvqlWr1LNnTwUFBSk6OlpPP/10nXVlZWWaOHGi2rdvr5CQECUkJOjAgQOXfBwAAODKZdkVrDfffFNz587V1VdfrZMnT3ps79y5s4qKii65X4fDofnz56tz586KiYnRG2%2B8UW%2Bt3W7XqlWr3MJdaGioR92KFSs0adIkJScna8aMGdq1a5emTp0qp9OpjIwMV51hGBo8eLA%2B%2BOADzZw5U2FhYcrKylJ8fLwKCwvVtWvXSz4eAABw5bEsYFVXV6tVq1b1bnc4HAoICLjkfqOionT8%2BHG1b99e%2B/fv1%2B23315vbYsWLZSamvqj/VVUVGju3LkaNmyY1q1bJ0lKS0tTdXW15s%2Bfr4kTJ7pC2fr16/X2228rNzdXw4cPlyQlJycrOjpa8%2BbN452TAABAkoW3CG%2B77TZt2bKlzm3V1dX6%2B9//rv/4j/%2B45H4DAgLUvn37i66vqanRmTNn6t2%2BY8cOlZaW6qGHHnJrnzx5ssrLy7V582ZXW25urjp06OAKV9L3z5OlpKRo06ZNrmfMAABA82ZZwJo1a5Y2b96sKVOm6NChQ5K%2Bv2r1xhtvaODAgfroo480a9Ysq4aXJJ07d05XXXWVQkNDFRYWpvT0dJ09e9atpvb5qdjYWLf22NhY%2Bfn5uT1fdeDAAfXu3dtjnLi4OJ07d06HDx%2B24CgAAICvsfST3FetWqVHHnlEWVlZkuS6XRcSEqK//vWvio%2BPt2p4RUVFaebMmerdu7dqamq0ZcsWZWVl6f3339cbb7whP7/vs2VJSYn8/f0VHh7utn9AQIDCwsJUXFzsaispKdE999zjMVZkZKQkqbi4WDfddJNlxwQAAHyDZQFLksaOHauRI0dqy5Yt%2BvTTT1VTU6OuXbtq0KBBdT5sbqYFCxa4/ZySkqLu3btr7ty5ysnJUUpKiiTJ6XQqMDCwzj7sdrucTqfrZ6fTqZYtW9ZZZxiGWy0AAGi%2BLA1YktS6dWslJydbPcxFmTZtmh599FFt27bNFbCCgoJ0/vz5OusrKioUFBTk%2BjkoKEiVlZV11tlsNrdaAADQfFkWsH54a%2B3HREVFWTUFD3a7XWFhYSotLXW1RUZGqrq6Wg6Hw%2B02YVVVlU6ePOk2v8jISJWUlHj0W9t2oWOZNm2ax5W71NTUC77TEQAA/Ljs7GxlZ2e7tZWVlXlpNhYGrI4dO8pms12wrrq62qopeCgvL5fD4VBERISrLSYmRoZhqKCgQAMHDnS179u3TzU1NYqJiXGr3b17t0e/e/bsUXBwsKKjo390/KVLl9b5kDwAAGiYui5YFBYWeryJrbFYFrBWrlzpEbCqq6t19OhR/e1vf1NkZKR%2B9atfWTJ2ZWWlqqqqFBIS4tb%2B%2B9//XpI0aNAgV1tCQoLatWun5cuXuwWs5cuXq1WrVhoyZIirLSkpSbm5udqwYYNGjBgh6ft3Rubk5CgxMfGyPtcLAABceSwLWOPHj69325w5cxQXF6eKiorL6vuZZ57RqVOnXJ8E//LLL%2BvYsWOSpKlTp6q0tFS33XabUlNTdeONN0qStmzZovz8fA0ePFiJiYmuvux2u%2BbPn6/09HSlpKRowIAB2rlzp9auXasnnnhCbdq0cdUmJSUpMzNT48aN08GDBxUeHq6srCzV1NToscceu6xjAQAAVx7LH3KvS0hIiH75y19qyZIlmjx58iXvv3jxYn355ZeSJJvNpo0bN2rjxo2SpNGjR6tNmzYaNmyYtm3bptWrV6u6ulrdunXTwoULNWPGDI/%2BJk2apMDAQC1ZskR5eXnq1KmTMjMzNWXKFLc6Pz8/5efnKyMjQ8uWLZPT6VRcXJxWr16t7t27X8ZKAACAK5FXAlatuh4Yvxiff/75BWuef/75S%2BozLS1NaWlpF6wLDQ3VypUrtXLlykvqHwAANB%2BNHrDOnTunnTt3avHixW4PkAMAAFwpLAtYAQEBdb6LsLq6WoZh6JprrtEzzzxj1fAAAABeY1nA%2BvWvf%2B0RsGw2m9q2bev6NHfedQcAAK5ElgWsxx9/3KquAQAAmjQ/b08AAADgSmPZFayJEyde8j42m00rVqywYDYAAACNx7KAlZ%2BfL6fT6frev9atW0uSzpw5I0lq166dx5cjX8xX6wAAADR1lt0ifO211xQcHKyZM2equLhYZWVlKisrU3FxsTIyMtSqVStt27ZNx44dc71qPzwUAADAl1l2BSs9PV39%2B/fXwoUL3do7dOigp556Sg6HQ%2Bnp6XrttdesmgIAAIBXWHYFa8%2BePerTp0%2B92/v06aO3337bquEBAAC8xrKA1aZNG23durXe7fn5%2BQoNDbVqeAAAAK%2BxLGBNnDhRL7/8skaOHKk33nhDX331lb766ivt2LFDI0aM0ObNm/WrX/3KquEBAAC8xrJnsB599FE5nU4tWbJEL730kts2f39//b//9//029/%2B1qrhAQAAvMaygGWz2fTkk09q2rRp2rp1q%2Bsdgp07d1b//v119dVXWzU0AACAV1kWsGq1b99eo0ePtnoYAACAJsPSr8qpqalRTk6OJk%2BerOTkZH344YeSpNOnT%2Bvll1/W119/beXwAAAAXmFZwDp9%2BrT69u2rlJQUPffcc9qwYYMrUAUHB2vSpEn6n//5H6uGBwAA8BqgB0GIAAAZZUlEQVTLAtasWbP03nvvafPmzTp69KgMw3Bta9GihZKSkvTqq69aNTwAAIDXWBawNm7cqClTpmjQoEHy8/McJjo6WkePHrVqeAAAAK%2BxLGB9%2B%2B23uv766%2Bvd/t1336mqqsqq4QEAALzGsoDVtWtXHThwoN7t27ZtU48ePawaHgAAwGssC1hpaWn661//qtzcXFebzWZTVVWV5s2bp1dffVUTJ060angAAACvsexzsKZNm6YPPvhAycnJCgsLkySNHj1aDodD58%2BfV1pamiZMmGDV8AAAAF5j6Se5P/vss/rFL36hnJwcHTlyRDU1NeratatSUlKUkJBg1dAAAABeZUnAqqys1Pbt23XttdcqPj5e8fHxVgwDAADQJFnyDFZgYKCGDx%2BuXbt2WdE9AABAk2ZJwLLZbOrWrZtKS0ut6B4AAKBJs/ST3J955hl9%2BumnVg0BAADQJFn2kPuBAwfUtm1b9ezZU/369VOXLl0UFBTkVmOz2bRkyRKrpgAAAOAVlgWszMxM15%2B3bt1aZw0BCwAAXIksC1h8DQ4AAGiuTH0Ga86cOXr//fclSf7%2B/hf1AgAAuNKYGrAWLlyoDz/80PXzyZMn5e/vr9dff93MYQAAAJo0y95FWMswDKuHAAAAaFIsD1gAAADNDQELAADAZKa/i/Do0aMqLCyUJJWVlUmSjhw5ojZt2tRZ37t3b7OnAAAA4FWmB6xHH31Ujz76qFvbQw895FFnGIZsNpuqq6vNngIAAIBXmRqwnn32WTO7AwAA8EmmBqxf/OIXZnZXp7Nnz%2BoPf/iD9u7dq7179%2Brbb7/Vc889pzFjxnjUHjp0SI888oj%2B%2Bc9/KjAwUEOGDNEf//hHhYeHe9SuWrVKS5Ys0eeff65OnTpp6tSpSk9P96grKytTRkaGXnrpJZ07d05xcXFasmSJbrvtNkuOFwAA%2BB6fe8jd4XBo/vz5OnTokGJiYmSz2eqsKyoqUt%2B%2BffXZZ59p4cKFysjI0ObNm3Xffffpu%2B%2B%2Bc6tdsWKFJkyYoFtuuUVPP/207rzzTk2dOlWLFi1yqzMMQ4MHD9bf//531/ZvvvlG8fHx%2Bte//mXZMQMAAN9i2VflWCUqKkrHjx9X%2B/bttX//ft1%2B%2B%2B111i1YsEBOp1PvvvuurrnmGknS7bffrv79%2B%2Bu5557T%2BPHjJUkVFRWaO3euhg0bpnXr1kmS0tLSVF1drfnz52vixIkKDQ2VJK1fv15vv/22cnNzNXz4cElScnKyoqOjNW/ePK1Zs8bqwwcAAD7A565gBQQEqH379hes27Bhg4YOHeoKV5LUr18/RUdH68UXX3S17dixQ6WlpR4P4k%2BePFnl5eXavHmzqy03N1cdOnRwhStJCg8PV0pKijZt2sT3LwIAAEk%2BGLAuRnFxsb7%2B%2Bmv16dPHY1tcXJwOHDjg%2Brn2z7GxsW51sbGx8vPz86it62Ml4uLidO7cOR0%2BfNisQwAAAD7sigxYJSUlkqTIyEiPbZGRkSotLXVdbSopKZG/v7/Hg%2B8BAQEKCwtTcXGxW7/19SnJrRYAADRfV2TAcjqdkqSWLVt6bLPb7W41TqdTgYGBdfZjt9tddbW19fVpGIZbLQAAaL6uyIAVFBQkSaqsrPTYVlFR4VYTFBSk8%2BfP19lPRUWFq662tr4%2BbTabWy0AAGi%2BfO5dhBej9pZd7a3CHyopKVG7du0UEBDgqq2urpbD4XC7TVhVVaWTJ08qKirKrd/6%2BpTkVluXadOmud6RWCs1NVWpqakXeWQAAKAu2dnZys7Odmur/co%2Bb7giA1ZUVJQiIiJUUFDgsW3v3r2KiYlx/RwTEyPDMFRQUKCBAwe62vft26eamhqP2t27d3v0uWfPHgUHBys6OvpH57V06VK%2BexEAAAvUdcGisLDQ401sjeWKvEUoSSNHjtQrr7yioqIiV9v27dt1%2BPBhpaSkuNoSEhLUrl07LV%2B%2B3G3/5cuXq1WrVhoyZIirLSkpSSdOnNCGDRtcbQ6HQzk5OUpMTHRdFQMAAM2bT17BeuaZZ3Tq1ClXeHr55Zd17NgxSdLUqVPVunVrzZkzRzk5OYqPj9fDDz%2BsM2fOaPHixerVq5fGjh3r6stut2v%2B/PlKT09XSkqKBgwYoJ07d2rt2rV64okn1KZNG1dtUlKSMjMzNW7cOB08eFDh4eHKyspSTU2NHnvsscZcAgAA0IT5ZMBavHixvvzyS0mSzWbTxo0btXHjRknS6NGj1bp1a3Xs2FFvvvmmpk%2BfrtmzZyswMFBDhw7V4sWLPa40TZo0SYGBgVqyZIny8vLUqVMnZWZmasqUKW51fn5%2Bys/PV0ZGhpYtWyan06m4uDitXr1a3bt3b5yDBwAATZ5PBqzPP//8oup69Oih/Pz8i6pNS0tTWlraBetCQ0O1cuVKrVy58qL6BQAAzc8V%2BwwWAACAtxCwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGRXbMB688035efn5/Hy9/fX3r173WoPHTqkgQMHqnXr1goLC9OYMWPkcDjq7HfVqlXq2bOngoKCFB0draeffroxDgcAAPiQFt6egNUeeeQR9enTx62tW7durj8XFRWpb9%2B%2Batu2rRYuXKgzZ85o0aJF%2BvDDD7V37161aPF/S7RixQpNmjRJycnJmjFjhnbt2qWpU6fK6XQqIyOj0Y4JAAA0bVd8wLr77rs1YsSIercvWLBATqdT7777rq655hpJ0u23367%2B/fvrueee0/jx4yVJFRUVmjt3roYNG6Z169ZJktLS0lRdXa358%2Bdr4sSJCg0Ntf6AAABAk3fF3iL8ofLyclVXV9e5bcOGDRo6dKgrXElSv379FB0drRdffNHVtmPHDpWWluqhhx5y23/y5MkqLy/X5s2brZk8AADwOVd8wBo3bpyuuuoq2e12JSQkaP/%2B/a5txcXF%2Bvrrrz1uIUpSXFycDhw44Pq59s%2BxsbFudbGxsfLz83OrBQAAzdsVe4swMDBQSUlJGjx4sMLDw/XRRx9p8eLF%2BulPf6q33npLvXr1UklJiSQpMjLSY//IyEiVlpaqqqpKAQEBKikpkb%2B/v8LDw93qAgICFBYWpuLi4kY5LgAA0PRdsQHrJz/5iX7yk5%2B4fh46dKhGjhypW2%2B9VbNnz9arr74qp9MpSWrZsqXH/na7XZLkdDoVEBAgp9OpwMDAOsey2%2B2uvgAAAK74W4Q/1LVrV/385z/Xjh07ZBiGgoKCJEmVlZUetRUVFZLkqgkKCtL58%2Bfr7LeiosJVBwAAcMVewapPp06ddP78eZ09e9Z1a7D2VuEPlZSUqF27dgoICJD0/S3D6upqORwOt9uEVVVVOnnypKKioi449rRp0zzeaZiamqrU1NSGHBIAAM1edna2srOz3drKysq8NJtmGLD%2B9a9/yW63KyQkRCEhIYqIiFBBQYFH3d69exUTE%2BP6OSYmRoZhqKCgQAMHDnS179u3TzU1NW619Vm6dKl69%2B5tzoEAAACXui5YFBYWerw5rbFcsbcI6/ok9vfee095eXkaMGCAq23kyJF65ZVXVFRU5Grbvn27Dh8%2BrJSUFFdbQkKC2rVrp%2BXLl7v1uXz5crVq1UpDhgyx4CgAAIAvumKvYN1///0KCgrSnXfeqfbt2%2BvgwYP6y1/%2BopCQED355JOuujlz5ignJ0fx8fF6%2BOGHdebMGS1evFi9evXS2LFjXXV2u13z589Xenq6UlJSNGDAAO3cuVNr167VE088oTZt2njhKAEAQFN0xQas4cOH64UXXtDSpUt1%2BvRpRUREKCkpSb/97W91/fXXu%2Bo6duyoN998U9OnT9fs2bMVGBiooUOHavHixa7nr2pNmjRJgYGBWrJkifLy8tSpUydlZmZqypQpjX14AACgCbtiA1Z6errS09MvqrZHjx7Kz8%2B/qNq0tDSlpaU1ZGoAAOAKd8U%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%2BFHnT9/Xi%2B88IK3p1EvPz8/1dTUeHsa9SoqKmL9LtPnn38uSTr16T45Hce8PBtPlaeOS5JeffXVJvv/GH7/Gqapr194eLgiIiK8PY061f6d8MoFEAMXrX///sZNN93k0b59%2B3bDZrMZr7zySp37rVmzxpDEixcvXrx48fLCa82aNVZHBA9cwboEMTExeuONN1ReXu72oPuePXtks9kUExNT534DBgzQmjVr1KVLl3qvcgEAAHM5nU4dPXpUAwYMaPSxbYZhGI0%2Bqo/au3ev7rjjDi1evFjTp0%2BX9P2tq5tvvlkRERH65z//6eUZAgCApoArWJcgLi5OycnJmj17tk6cOKFu3brpueee0xdffKFnn33W29MDAABNBFewLtH58%2Bf16KOPas2aNfr2229166236vHHH9e9997r7akBAIAmgoAFAABgMj4HCwAAwGQErAY4e/as5s2bp0GDBiksLEx%2Bfn5avXr1ZfU1YcIE%2Bfn5KTEx0eRZNl1mrN%2B2bdvUr18/tWnTRldddZX69Omj9evXWzTjpqWh67d//34NHTpUkZGRat26tXr16qVly5Y16c8DMktBQYHS09N18803KyQkRJ07d9b999%2BvI0eOXNT%2BZWVlmjhxotq3b6%2BQkBAlJCTowIEDFs%2B66WjI%2Br3%2B%2ButKS0vTDTfcoFatWqlr166aMGGCjh8/3ggzbxoa%2Bvv3Q83x3GHG%2BjXGuYOH3BvA4XBo/vz56ty5s%2BsjHC5HQUGBnn/%2B%2BWb3EQ4NXb9nn31W48eP13333acnn3xS/v7%2B%2BuSTT3TsWNP7MEgrNGT9CgsLdddddyk6OlqzZs1ScHCw8vPz9fDDD%2Buzzz7T0qVLrZt4E/DUU0/prbfeUnJysm699VYdP35cy5YtU%2B/evfXOO%2B%2BoZ8%2Be9e5rGIYGDx6sDz74QDNnzlRYWJiysrIUHx%2BvwsJCde3atRGPxDsasn6//vWv9e233yo5OVndu3fXZ599pmXLlmnz5s1699131b59%2B0Y8Eu9oyPr9UHM9dzR0/Rrt3NHon7x1BTl//rxx4sQJwzAMo6CgwLDZbMbzzz9/yf3ceeedxvjx440uXboYw4YNM3uaTVZD1u/o0aNGcHCwMW3aNCun2KQ1ZP0mTJhg2O1249SpU27t99xzj9GmTRvT59rUvP3220ZVVZVb25EjRwy73W6MHj36R/ddt26dYbPZjA0bNrjavvnmG6Nt27bGqFGjLJlvU9OQ9du1a5dH286dOw2bzWY8%2Buijps6zqWrI%2Bv1Qcz13NGT9GvPcwS3CBggICGjwv7ZWr16tgwcPasGCBSbNync0ZP2WL1%2Bumpoa/e53v5P0/e2y5qYh63fmzBnZ7XaFhoa6tXfo0KFZ/Gv4jjvuUIsW7hfwu3XrpptuuumCXzeTm5urDh06aPjw4a628PBwpaSkaNOmTaqqqrJkzk1JQ9bv7rvv9mjr27ev2rVr12S/6sdsDVm/Ws353NGQ9WvMcwcBy4vKy8s1a9Ys/eY3v2kWl8XNtH37dt14443avHmzOnXqpNatWyssLEy//e1vZfDG2AuKj4/X6dOnNXHiRB06dEhffvml/vznP%2Bull17SnDlzvD09rzlx4oTCw8N/tObAgQPq3bu3R3tcXJzOnTunw4cPWzW9Ju9i1q8uZ8%2BeVXl5%2BWXteyW52PXj3FG3i1m/xjx3ELC86He/%2B52Cg4Ob/BctN0VHjhzRl19%2BqV/%2B8pcaP368cnNzNXjwYD3%2B%2BOOaO3eut6fX5E2YMEGTJ0/W888/r549e6pLly6aOnWq/vSnPyk9Pd3b0/OKNWvWqKioSA888MCP1pWUlCgyMtKjvbatuLjYkvk1dRe7fnVZunSpqqqqLmvfK8WlrB/nDk8Xu36Neu6w/CZkM3Gpz8B88sknRmBgoLFx40ZXW3O7j/5Dl7p%2B/v7%2Bhp%2Bfn7Fo0SK39kGDBhmtWrUyysvLrZhmk3U5zwBmZmYaiYmJxpo1a4z169cbI0aMMAICAoxNmzZZONOm6eOPPzZCQ0ONu%2B%2B%2B26ipqfnRWn9/f2Py5Mke7a%2B//rphs9lYvwus37978803jYCAACM1NdWi2TV9l7J%2BnDs8Xerf38Y6d3AFy0sefvhh3X333frP//xPb0/FJ9U%2BJ/Tv/1pJTU2V0%2BlsVm%2BZvxwLFy7UH/7wB2VnZ2vUqFFKSkpSbm6u7r77bk2ePLlZfFRDrRMnTmjIkCFq27at1q9fL5vN9qP1QUFBqqys9GivqKiQzWZrFs%2Bw/dClrt8PHTp0SCNGjNCtt96qv/zlLxbOsum61PXj3OHucv7%2BSo1z7iBgecHrr7%2BurVu3aurUqfriiy/0xRdf6OjRo/ruu%2B/kdDr1xRdf6MyZM96eZpMWFRUlSbr66qvd2tu3by/DMPTtt996Y1o%2BY/ny5UpISFBwcLBbe2JiooqLi3X06FHvTKyRnT59WgMHDtTp06e1ZcsWdejQ4YL7REZGqqSkxKO9tq32d7M5uJz1q3Xs2DHdd999atu2rTZv3qxWrVpZONOm6VLXj3OHu8v5/WvMcwcBywuOHTsmm82m4cOH67rrrtN1112n66%2B/XsXFxdq%2Bfbuuv/56vjz6AmJjYyVJRUVFbu1FRUWy2WyKiIjwxrR8xokTJ1RdXe3RXvsOuO%2B%2B%2B66xp9ToKisrNXToUH366afavHmzbrjhhovaLyYmRoWFhR7te/bsUXBwsKKjo82eapN0uesnSaWlpbrvvvv03XffaevWrR4nu%2BbgctaPc8f/udzfv8Y8dxCwGsHx48f1ySefuE5o/fr108aNG/XSSy%2B5vcLDw3X77bfrpZde0rBhw7w866bj39dPku6//34ZhqFVq1a52gzD0LPPPqt27dq5/hKh7vWLjo7Wa6%2B95vavtZqaGq1bt06tW7e%2B4j8ss6amRikpKXrnnXeUk5OjuLi4OuvqWrukpCSdOHFCGzZscLU5HA7l5OQoMTFRAQEBls/f2xqyfufOndOgQYNUUlKiV199Vddff31jTbvJuNz149zxvYb8/jXmuYNPcm%2BgZ555RqdOnXKl4Zdfftn1abBTp05V69atNWvWLK1evVpHjx7Vtddeq44dO6pjx44efT388MO6%2Buqrm8VfkFqXs36S9POf/1z9%2BvXTk08%2BqW%2B%2B%2BUa9evXSxo0b9dZbb2nlypXN4iQnXf76zZo1S6NHj1ZcXJwmTpyooKAgrV27VgcOHNCCBQvk7%2B/vtWNqDNOnT1deXp4SExPlcDj0wgsvuG0fNWqUJNW5dklJScrMzNS4ceN08OBBhYeHKysrSzU1NXrsscca%2B1C8oiHr91//9V/at2%2Bf0tLSdPDgQR08eNC1X0hIiH7%2B85833oF4yeWuH%2BeO7zXk969Rzx2mPS7fTHXp0sXw8/Or8/XFF18YhmEYY8eONfz9/V0/1%2Be6664zEhMTG2PaTUZD1u/s2bPGtGnTjKioKMNutxu9evUysrOzvXEYXtOQ9fvHP/5h/OxnPzPat2/vWr%2B//OUv3jiMRhcfH1/vuvn5%2Bbnq6lu7U6dOGRMmTDAiIiKMkJAQIyEhwSgsLGzsw/Cahqzfj/3OXnfddd44nEbX0N%2B/f9fczh0NXb/GOnfYDINPZQQAADATz2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMn%2BP7gPPjRA9/jLAAAAAElFTkSuQmCC\"/>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common6469317451415776097\">\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2.0</td>\n",
+       "        <td class=\"number\">2525</td>\n",
+       "        <td class=\"number\">8.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">27006</td>\n",
+       "        <td class=\"number\">91.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme6469317451415776097\">\n",
+       "            <p class=\"h4\">Minimum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2.0</td>\n",
+       "        <td class=\"number\">2525</td>\n",
+       "        <td class=\"number\">8.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "            <p class=\"h4\">Maximum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2.0</td>\n",
+       "        <td class=\"number\">2525</td>\n",
+       "        <td class=\"number\">8.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">sampleTime<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>386</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>1.3%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-8994523027340045681\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>00:01:00</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:40%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 26.3%\">\n",
+       "            7773\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>10:30:00</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:6%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 3.7%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1083\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>11:00:00</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:5%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 3.2%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        952\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (383)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 66.8%\">\n",
+       "            19723\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-8994523027340045681, #minifreqtable-8994523027340045681\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-8994523027340045681\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">00:01:00</td>\n",
+       "        <td class=\"number\">7773</td>\n",
+       "        <td class=\"number\">26.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:48%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">10:30:00</td>\n",
+       "        <td class=\"number\">1083</td>\n",
+       "        <td class=\"number\">3.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">11:00:00</td>\n",
+       "        <td class=\"number\">952</td>\n",
+       "        <td class=\"number\">3.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">10:45:00</td>\n",
+       "        <td class=\"number\">832</td>\n",
+       "        <td class=\"number\">2.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">11:15:00</td>\n",
+       "        <td class=\"number\">747</td>\n",
+       "        <td class=\"number\">2.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">10:00:00</td>\n",
+       "        <td class=\"number\">584</td>\n",
+       "        <td class=\"number\">2.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">11:45:00</td>\n",
+       "        <td class=\"number\">457</td>\n",
+       "        <td class=\"number\">1.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">11:30:00</td>\n",
+       "        <td class=\"number\">374</td>\n",
+       "        <td class=\"number\">1.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">10:15:00</td>\n",
+       "        <td class=\"number\">307</td>\n",
+       "        <td class=\"number\">1.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">14:00:00</td>\n",
+       "        <td class=\"number\">292</td>\n",
+       "        <td class=\"number\">1.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (376)</td>\n",
+       "        <td class=\"number\">16130</td>\n",
+       "        <td class=\"number\">54.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">sampleType<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>5</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-7517913834921639466\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>FMO</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 79.2%\">\n",
+       "            23403\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Sample</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:25%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 19.5%\">\n",
+       "            5759\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>QC-FR</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.9%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        256\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (2)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.4%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        113\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-7517913834921639466, #minifreqtable-7517913834921639466\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7517913834921639466\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">FMO</td>\n",
+       "        <td class=\"number\">23403</td>\n",
+       "        <td class=\"number\">79.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Sample</td>\n",
+       "        <td class=\"number\">5759</td>\n",
+       "        <td class=\"number\">19.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">QC-FR</td>\n",
+       "        <td class=\"number\">256</td>\n",
+       "        <td class=\"number\">0.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">QC-LD</td>\n",
+       "        <td class=\"number\">71</td>\n",
+       "        <td class=\"number\">0.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">QC-F</td>\n",
+       "        <td class=\"number\">42</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">sampleUpperDepth<br/>\n",
+       "            <small>Numeric</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-6\">\n",
+       "    <div class=\"row\">\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "                <tr>\n",
+       "                    <th>Distinct count</th>\n",
+       "                    <td>267</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Unique (%)</th>\n",
+       "                    <td>0.9%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Missing (n)</th>\n",
+       "                    <td>8</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (%)</th>\n",
+       "                    <td>0.0%</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"ignore\">\n",
+       "                    <th>Infinite (n)</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "\n",
+       "        </div>\n",
+       "        <div class=\"col-sm-6\">\n",
+       "            <table class=\"stats \">\n",
+       "\n",
+       "                <tr>\n",
+       "                    <th>Mean</th>\n",
+       "                    <td>6.7</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Minimum</th>\n",
+       "                    <td>0</td>\n",
+       "                </tr>\n",
+       "                <tr>\n",
+       "                    <th>Maximum</th>\n",
+       "                    <td>18</td>\n",
+       "                </tr>\n",
+       "                <tr class=\"alert\">\n",
+       "                    <th>Zeros (%)</th>\n",
+       "                    <td>15.9%</td>\n",
+       "                </tr>\n",
+       "            </table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "<div class=\"col-md-3 collapse in\" id=\"minihistogram8362409319507859673\">\n",
+       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABQBJREFUeJzt3c9LG2kcBvAnVdakKCklugZMjLb%2BQhAUShbKqngRL4sePK0Fe9uel/0DeullRRAUqRdB5%2BAhu8heVFov20MPEW9LVjEYxqprHKWH1iRt9O3JoNB9nbHOOzPyfGBAk5nMV/g%2BmZd530EIB2iaJgBw42Zp0zRNea%2BWwwGxWAwAoGka2tranCiBPCSVSmFkZKTUNyo5EpBAIAAAaGpqQkdHh6ljfD4fysrK7CyLXO68b1RyJCDn4vG46X2D9%2B5hLZnEw4cPbayI6DJHAxL%2B8WdUBL%2B/cr9i/iPevX6JjY0NBoSUcjQg95p%2BwN3aqxv%2B84djvHv9UkFFRJfdcboAIjdjQIgkGBAiCQaESIIBIZJgQIgkGBAiCQaESIIBIZJgQIgkGBAiCQaESIIBIZJgQIgkGBAiCQaESMLRB6bIPrquwzAMS8eEQiFEo1GbKvKmWx0QtzaJ3XXpuo6W1jbkcyeWzuEP3MXGvymG5IJbGxC3NomKugzDQD53gthPvyEQMvd35Awdmb9%2Bh2EYDMgFngpINpvF%2Bvq6qX1TqZQrm0Rl8wZCUVPP/NP/81RAfnn2DJ8KBUvHXKdJUqmU6X2vOyRj83qDpwLyqVAw/c37fiuJ/b/nLH3%2B5w/HgM%2BHkZER08dw3H67eSoggPlv3pyxY/mzi/mPgBCmQ6h63G72ymblCkhynguICm4b/lznykY3gwHxAKtXtusML%2BnrGBAPsXN4SV/HpSZEEgwIkQQDQiTBgBBJMCBEEryLdQOsTMxxEs9bGJBvcBsn8FSsQ/MSBuQbWJ3AA9w7icd1aF/HgNwAK0tT3DqJ5/Z1aE5hQOgSt61DcxrvYhFJMCBEEgwIkQQDQiTBgBBJ8C4WfROrKwO8NrnoSEByuRwAYHPuV/juXH0RE0KUfn6/lTQ1l/Bh5x9L%2B1/nGBXncGtdJ/9tAYDlVQTfVfjx5x8JhMNh08ech/C8b5QSDtA0TQDgxs3Spmma8l71CXHh61kRwzCwsrKCWCyGQCCg%2BvTkMblcDplMBv39/QiFQkrP7UhAiLyCd7GIJBgQIgnlAdna2sLjx4/R0tKCeDzOB4jokkKhgKGhIbS2tqKzsxP9/f1Ip9MAgMPDQwwMDKC5uRkdHR148%2BaN/QWpvivQ19cn5ubmhBBCJBIJ8ejRI9UlkIvl83mxtLRU%2Bn1yclL09vYKIYR4%2BvSpeP78uRBCiGQyKerq6kSxWLS1HqUByWazIhgMitPT09JrtbW1Ip1OqyyDPGRtbU00NDQIIYSorKwUBwcHpffi8bhYXV219fxKh1g7OzsIh8O4c2FyMBqNQtd1lWWQh0xMTGBwcBDHx8coFouoqakpvVdfX29773CpCbnWixcvkE6nMTMzg5MTa/%2BR66YovYJEIhHs7%2B/j7Oys9Jqu655am0NqjI2NYXFxEcvLy/D7/bh//z7Ky8uRzWZL%2B2QyGdt7R2lAqqur0dXVhfn5eQBAIpFAJBJBY2OjyjLI5cbHx7GwsIBXr16hqqqq9Prw8DCmp6cBAMlkEnt7e%2Bjp6bG1FuUz6ZubmxgdHcXR0RGCwSBmZ2fR3t6usgRysd3dXUQiETx48ABVVVUQQsDv9%2BPt27fIZrN48uQJtre3UVFRgampKXR3d9taD5eaEElwJp1IggEhkmBAiCQYECIJBoRIggEhkmBAiCQYECIJBoRIggEhkmBAiCQYECKJL4O70yq0b48YAAAAAElFTkSuQmCC\">\n",
+       "\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives8362409319507859673,#minihistogram8362409319507859673\"\n",
+       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"row collapse col-md-12\" id=\"descriptives8362409319507859673\">\n",
+       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
+       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles8362409319507859673\"\n",
+       "                                                  aria-controls=\"quantiles8362409319507859673\" role=\"tab\"\n",
+       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#histogram8362409319507859673\" aria-controls=\"histogram8362409319507859673\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#common8362409319507859673\" aria-controls=\"common8362409319507859673\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
+       "        <li role=\"presentation\"><a href=\"#extreme8362409319507859673\" aria-controls=\"extreme8362409319507859673\"\n",
+       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
+       "\n",
+       "    </ul>\n",
+       "\n",
+       "    <div class=\"tab-content\">\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles8362409319507859673\">\n",
+       "            <div class=\"col-md-4 col-md-offset-1\">\n",
+       "                <p class=\"h4\">Quantile statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Minimum</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>5-th percentile</th>\n",
+       "                        <td>0</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q1</th>\n",
+       "                        <td>2</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Median</th>\n",
+       "                        <td>6.05</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Q3</th>\n",
+       "                        <td>11</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>95-th percentile</th>\n",
+       "                        <td>14.1</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Maximum</th>\n",
+       "                        <td>18</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Range</th>\n",
+       "                        <td>18</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Interquartile range</th>\n",
+       "                        <td>9</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "            <div class=\"col-md-4 col-md-offset-2\">\n",
+       "                <p class=\"h4\">Descriptive statistics</p>\n",
+       "                <table class=\"stats indent\">\n",
+       "                    <tr>\n",
+       "                        <th>Standard deviation</th>\n",
+       "                        <td>4.9647</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Coef of variation</th>\n",
+       "                        <td>0.741</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Kurtosis</th>\n",
+       "                        <td>-1.265</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Mean</th>\n",
+       "                        <td>6.7</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>MAD</th>\n",
+       "                        <td>4.34</td>\n",
+       "                    </tr>\n",
+       "                    <tr class=\"\">\n",
+       "                        <th>Skewness</th>\n",
+       "                        <td>0.13993</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Sum</th>\n",
+       "                        <td>197810</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Variance</th>\n",
+       "                        <td>24.648</td>\n",
+       "                    </tr>\n",
+       "                    <tr>\n",
+       "                        <th>Memory size</th>\n",
+       "                        <td>230.8 KiB</td>\n",
+       "                    </tr>\n",
+       "                </table>\n",
+       "            </div>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram8362409319507859673\">\n",
+       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3X1clHW%2B//H3gOAMYiogCd51UmdXu5HU2G7WloOZqMgeEyi2Mo2yg6GW/rDVrfSs2doRi1bTtOPJdU1LgbbQrC3XvNk0JLXScrHayoC0kULIARGu3x89uE6zA3nTNQ6jr%2BfjMY8HfK/PfK/PNePUm%2BtubIZhGAIAAIBlgvzdAAAAwPmGgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQIqYI0fP15BQUHNPoKDg1VRUWHWHjhwQElJSWrfvr0iIyM1duxYuVyuZuddvny5%2BvXrJ4fDIafTqUWLFjVbV1VVpQkTJig6Olrh4eFKTEzUnj17fLKtAAAgcNkMwzD83cTpeuedd/TJJ594jBmGoXvvvVeXXnqp3n//fUlSWVmZ4uLi1KlTJ02ZMkXV1dWaP3%2B%2BevbsqeLiYrVp08Z8/tKlS5WVlaW0tDTddNNN2rZtm1auXKnHH39cOTk5Huv55S9/qQ8%2B%2BEDTp09XZGSkFi9erC%2B%2B%2BEK7d%2B9Wr169zs2LAAAAWj8jwG3fvt2w2WzGvHnzzLGsrCyjXbt2xpdffmmOvfnmm4bNZjOeffZZc8ztdhtRUVFGSkqKx5y333670b59e%2BPbb781x1588UXDZrMZhYWF5tjXX39tdOrUybjtttt8sWkAACBABdQhwuY8//zzCgoKUkZGhjlWWFio5ORkde3a1RwbMmSInE6n1q5da45t3rxZlZWVmjhxosec9913n2pqarRhwwZzrKCgQF26dNHo0aPNsaioKKWnp%2Bvll19WfX29LzYPAAAEoIAOWCdPntS6det0/fXXq0ePHpKk8vJyHTlyRIMGDfKqj4%2BP9zhnqunngQMHetQNHDhQQUFBXrUDBgxods7jx4%2BrtLTUkm0CAACBL6AD1muvvaajR4/qtttuM8eaTnSPiYnxqo%2BJiVFlZaW5t6miokLBwcGKioryqAsJCVFkZKTKy8s95m1pTkketQAA4MIW0AFr9erVCg0NVVpamjnmdrslSW3btvWqt9vtHjVut1uhoaHNzm232826ptqW5jQMw6MWAABc2NqcuqR1%2Bu677/TKK68oKSlJnTp1MscdDockqa6uzus5tbW1HjUOh0MnTpxodv7a2lqzrqm2pTltNptH7b9yuVx6/fXXdckll/xoHQAAsI7b7dZnn32mYcOGeR2t8rWADVgvvfSS3G63x%2BFB6f8O2f3wnlhNKioqFBERoZCQELO2oaFBLpfL44Wvr6/X0aNHFRsb6zFvS3NK8qj9V6%2B//rpuv/32M9g6AABglVWrVnnlBV8L2ID1/PPPKzw8XKNGjfIYj42NVefOnVVSUuL1nOLiYsXFxZm/x8XFyTAMlZSUKCkpyRzftWuXGhsbvWq3b9/uNefOnTsVFhYmp9PZYq%2BXXHKJpO/f4L59%2B572NiJwPPDAA3ryySf93QZ8hPf3/Mb7e/766KOPdPvtt5v/Hz6XAjJguVwubdq0Sbfddpt5XtUPjRkzRitXrlRZWZl5q4ZNmzaptLRU06ZNM%2BsSExMVERGhJUuWeASsJUuWqF27dho5cqQ5lpqaqoKCAhUWFurmm282%2B8jPz1dKSoq5V6w5TYcF%2B/bt2%2ByViAh8HTp04L09j/H%2Bnt94f89//jg9JyAD1gsvvKCGhoYWd/fNnDlT%2Bfn5SkhIMO/knpubq/79%2B2vcuHFmnd1u15w5c5Sdna309HQNGzZMW7du1erVq/XYY4%2BpY8eOZm1qaqry8vI0fvx47d%2B/X1FRUVq8eLEaGxs1e/ZsH28xAAAIJAEZsFavXq2LL75YQ4YMaXZ5t27dtGXLFk2dOlUzZsxQaGiokpOTlZub67WnKSsrS6GhoVqwYIGKiorUvXt35eXladKkSR51QUFB2rhxo3JycrRw4UK53W7Fx8dr5cqV6tOnj8%2B2FQAABJ6ADFhvv/32KWv69u2rjRs3ntZ8mZmZyszMPGVdhw4dtGzZMi1btuy05gUAABemgL4PFtBa/PCrmnD%2B4f09v/H%2BwhcIWIAF%2BA/0%2BY339/zG%2BwtfIGABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxdr4u4ELyYIFCxQdHe3vNk5pxIgRGjp0qL/bAAAgYBGwzqG/vLZZwSFt/d3Gj6qr%2BUYvrF2nirIv/d0KAAABi4B1DvX8j5kK69Lb3238qPJtz6uhdJO/2wAAIKBxDhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGCxgAxYu3fvVkpKiiIjI9WuXTtdccUVWrRokUfNgQMHlJSUpPbt2ysyMlJjx46Vy%2BVqdr7ly5erX79%2BcjgccjqdXnM1qaqq0oQJExQdHa3w8HAlJiZqz549lm8fAAAIbG383cCZ%2Butf/6qUlBQNGDBAjzzyiMLDw/XJJ5/oyy%2B/NGvKyso0ePBgderUSfPmzVN1dbXmz5%2Bvffv2qbi4WG3a/N9mL126VFlZWUpLS9O0adO0bds2TZ48WW63Wzk5OWadYRgaMWKEPvjgA02fPl2RkZFavHixEhIStHv3bvXq1eucvg4AAKD1CqiAVV1drTvvvFOjRo3SunXrWqybO3eu3G639u7dq65du0qSrr76ag0dOlQrVqzQ3XffLUmqra3VQw89pFGjRunFF1%2BUJGVmZqqhoUFz5szRhAkT1KFDB0nSunXrtGPHDhUUFGj06NGSpLS0NDmdTs2aNUurVq3y5aYDAIAAElCHCJ9//nkdOXJEc%2BfOlSQdP35chmF41RUWFio5OdkMV5I0ZMgQOZ1OrV271hzbvHmzKisrNXHiRI/n33fffaqpqdGGDRvMsYKCAnXp0sUMV5IUFRWl9PR0vfzyy6qvr7dsOwEAQGALqIC1adMmXXTRRTp06JB%2B/vOfKzw8XBdddJEmTpyouro6SVJ5ebmOHDmiQYMGeT0/Pj7e45yppp8HDhzoUTdw4EAFBQV51Q4YMKDZOY8fP67S0lJLthEAAAS%2BgApYBw8eVH19vX79619r%2BPDhKiwsVGZmpp555hndddddkqSKigpJUkxMjNfzY2JiVFlZae5tqqioUHBwsKKiojzqQkJCFBkZqfLycnOsoqKixTkledQCAIALW0Cdg1VTUyO3262srCw9%2BeSTkqT/%2BI//UF1dnZYtW6bf//73crvdkqS2bdt6Pd9ut0uS3G63QkJC5Ha7FRoa2uy67Ha7OVfTc1qa0zAMj1oAAHBhC6g9WA6HQ5J06623eoz/5je/kWEY2rFjh1nTdMjwh2praz3mcTgcOnHiRLPrqq2tNeuaalua02azedQCAIALW0DtwYqNjdWHH36oiy%2B%2B2GM8OjpakvTNN9%2BYh%2ByaDhX%2BUEVFhSIiIhQSEiLp%2B8N7DQ0NcrlcHocJ6%2BvrdfToUcXGxppjMTExLc7Z1NupHHpjqYLt7TzGIvolKOKyhFM%2BFwAAtGzNmjVas2aNx1hVVZWfugmwgDVw4EC9%2BeabKisrU58%2BfczxpvOfoqOjFRsbq86dO6ukpMTr%2BcXFxYqLizN/j4uLk2EYKikpUVJSkjm%2Ba9cuNTY2etVu377da86dO3cqLCxMTqfzlP13H3qvwrr0Pr2NBQAApy0jI0MZGRkeY7t37/a6kO1cCahDhOnp6TIMQ8uXL/cYf/bZZxUSEqJf/epXkqQxY8Zo/fr1KisrM2s2bdqk0tJSpaenm2OJiYmKiIjQkiVLPOZbsmSJ2rVrp5EjR5pjqampOnz4sAoLC80xl8ul/Px8paSkmHvFAAAAAmoPVlxcnO666y4999xzqq%2Bv169%2B9Stt3rxZBQUFmjlzprp06SJJmjlzpvLz85WQkKApU6aourpaubm56t%2B/v8aNG2fOZ7fbNWfOHGVnZys9PV3Dhg3T1q1btXr1aj322GPq2LGjWZuamqq8vDyNHz9e%2B/fvV1RUlBYvXqzGxkbNnj37HL8SAACgNQuogCV9/9U2PXv21HPPPae//OUv6tmzp/Ly8jRp0iSzplu3btqyZYumTp2qGTNmKDQ0VMnJycrNzfXa05SVlaXQ0FAtWLBARUVF6t69u9d8khQUFKSNGzcqJydHCxculNvtVnx8vFauXOlxuBIAAMBmNHcrdFiq6Rhw37sWtvpzsMq3Pa%2BG0k06/BX39QIABLam//%2B%2B%2B%2B67zd4s3JcC6hwsAACAQEDAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiARWwtmzZoqCgIK9HcHCwiouLPWoPHDigpKQktW/fXpGRkRo7dqxcLlez8y5fvlz9%2BvWTw%2BGQ0%2BnUokWLmq2rqqrShAkTFB0drfDwcCUmJmrPnj2WbycAAAhsbfzdwNm4//77NWjQII%2Bx3r17mz%2BXlZVp8ODB6tSpk%2BbNm6fq6mrNnz9f%2B/btU3Fxsdq0%2Bb/NXrp0qbKyspSWlqZp06Zp27Ztmjx5stxut3Jycsw6wzA0YsQIffDBB5o%2BfboiIyO1ePFiJSQkaPfu3erVq5fvNxwAAASEgAxYv/zlL3XzzTe3uHzu3Llyu93au3evunbtKkm6%2BuqrNXToUK1YsUJ33323JKm2tlYPPfSQRo0apRdffFGSlJmZqYaGBs2ZM0cTJkxQhw4dJEnr1q3Tjh07VFBQoNGjR0uS0tLS5HQ6NWvWLK1atcqXmwwAAAJIQB0i/KGamho1NDQ0u6ywsFDJyclmuJKkIUOGyOl0au3atebY5s2bVVlZqYkTJ3o8/7777lNNTY02bNhgjhUUFKhLly5muJKkqKgopaen6%2BWXX1Z9fb1VmwYAAAJcQAas8ePH66KLLpLdbldiYqLeffddc1l5ebmOHDnidQhRkuLj4z3OmWr6eeDAgR51AwcOVFBQkFftgAEDmp3z%2BPHjKi0t/cnbBQAAzg8BFbBCQ0OVmpqqp556Sq%2B88ormzp2rffv26YYbbtB7770nSaqoqJAkxcTEeD0/JiZGlZWV5t6miooKBQcHKyoqyqMuJCREkZGRKi8vN8cqKipanFOSRy0AALiwBdQ5WNdee62uvfZa8/fk5GSNGTNGV155pWbMmKFXX31VbrdbktS2bVuv59vtdkmS2%2B1WSEiI3G63QkNDm12X3W4352p6TktzGobhUQsAAC5sAbUHqzm9evXSr3/9a23evFmGYcjhcEiS6urqvGpra2slyaxxOBw6ceJEs/PW1taadU21Lc1ps9k8agEAwIUtoPZgtaR79%2B46ceKEvvvuO/OQXdOhwh%2BqqKhQRESEQkJCJH1/eK%2BhoUEul8vjMGF9fb2OHj2q2NhYcywmJqbFOSV51Lbk0BtLFWxv5zEW0S9BEZclnHojAQBAi9asWaM1a9Z4jFVVVfmpm/MkYH3yySey2%2B0KDw9XeHi4OnfurJKSEq%2B64uJixcXFmb/HxcXJMAyVlJQoKSnJHN%2B1a5caGxu9ardv3%2B41586dOxUWFian03nKPrsPvVdhXXqfsg4AAJyZjIwMZWRkeIzt3r3b60K2cyWgDhE2dyf29957T0VFRRo2bJg5NmbMGK1fv15lZWXm2KZNm1RaWqr09HRzLDExUREREVqyZInHnEuWLFG7du00cuRIcyw1NVWHDx9WYWGhRz/5%2BflKSUkx94oBAAAE1B6sW265RQ6HQ9ddd52io6O1f/9%2BPfvsswoPD9cf/vAHs27mzJnKz89XQkKCpkyZourqauXm5qp///4aN26cWWe32zVnzhxlZ2crPT1dw4YN09atW7V69Wo99thj6tixo1mbmpqqvLw8jR8/Xvv371dUVJQWL16sxsZGzZ49%2Bxy%2BCgAAoLULqIA1evRoPf/883ryySd17Ngxde7cWampqXrkkUd06aWXmnXdunXTli1bNHXqVM2YMUOhoaFKTk5Wbm6u156mrKwshYaGasGCBSoqKlL37t2Vl5enSZMmedQFBQVp48aNysnJ0cKFC%2BV2uxUfH6%2BVK1eqT58%2B52T7AQBAYLAZhmH4u4nzXdMx4L53LWz152CVb3teDaWbdPgr7usFAAhsTf//fffdd5u9WbgvBdQ5WAAAAIGAgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMV8FrBGjRqltWvXqq6uzlerAAAAaJV8FrA%2B/PBD3Xrrrbr44ouVmZmpt956y1erAgAAaFV8FrA%2B%2BeQT/f3vf9dtt92moqIiDRkyRD169NCMGTO0b98%2BX60WAADA73x6Dta1116rp59%2BWhUVFXrllVd0/fXXa%2BHCherfv7/i4uL0xBNPqKKiwpctAAAAnHPn5CT34OBgjRw5UmvWrNGXX36p1NRUvf/%2B%2B8rJyVGPHj2UlJSk119//Vy0AgAA4HPn7CrCnTt3Kjs7W06nU%2BvWrVPfvn01d%2B5czZs3T4cOHdKIESP0X//1X%2BeqHQAAAJ9p48vJS0tLtWrVKq1evVr//Oc/FRUVpYyMDN1xxx0aNGiQWTdt2jRlZmZq4cKFmjVrli9bAgAA8DmfBaxBgwZpz549Cg0NVXJysp588kkNHz5cbdo0v8obb7xRzz33nK/aAQAAOGd8FrDsdrsWL16sW265RR07djxlfUpKig4ePOirdgAAAM4Zn52DtX37dt17772nFa4kqV27durVq9cZr2fu3LkKCgrSlVde6bXswIEDSkpKUvv27RUZGamxY8fK5XI1O8/y5cvVr18/ORwOOZ1OLVq0qNm6qqoqTZgwQdHR0QoPD1diYqL27Nlzxn0DAIDzl88C1t69e7V06dIWly9btkzvv//%2BT1pHWVmZ/vCHPyg8PLzZZYMHD9ann36qefPmKScnRxs2bNBNN92kkydPetQuXbpU99xzj6644gotWrRI1113nSZPnqz58%2Bd71BmGoREjRuiFF14wl3/99ddKSEjQJ5988pO2BQAAnD98dohw5syZCg0N1b333tvs8tdff11FRUUqKio663VMmzZN1157rU6ePKmjR496LJs7d67cbrf27t2rrl27SpKuvvpqDR06VCtWrNDdd98tSaqtrdVDDz2kUaNG6cUXX5QkZWZmqqGhQXPmzNGECRPUoUMHSdK6deu0Y8cOFRQUaPTo0ZKktLQ0OZ1OzZo1S6tWrTrrbQEAAOcPn%2B3BKikp0Q033NDi8sGDB2vXrl1nPf/WrVtVWFiovLy8ZpcXFhYqOTnZDFeSNGTIEDmdTq1du9Yc27x5syorKzVx4kSP5993332qqanRhg0bzLGCggJ16dLFDFeSFBUVpfT0dL388suqr68/6%2B0BAADnD58FrOrqaoWGhra4PDg4WFVVVWc1d2NjoyZPnqx77rlHl112mdfy8vJyHTlyxONWEE3i4%2BM9zplq%2BnngwIEedQMHDlRQUJBX7YABA5qd8/jx4yotLT2r7QEAAOcXnwWsPn366I033mhx%2BV//%2Blf927/921nNvWTJEn3xxReaM2dOs8ubvn4nJibGa1lMTIwqKyvNvU0VFRUKDg5WVFSUR11ISIgiIyNVXl7uMW9Lc0ryqAUAABcunwWs8ePHq6ioSNOnT1d1dbU5fuzYMeXk5OjVV1/VXXfddcbzVlZWatasWXrkkUcUERHRbI3b7ZYktW3b1muZ3W73qHG73S3uabPb7WZdU21LcxqG4VELAAAuXD47yf3%2B%2B%2B/X7t27lZubq7y8PHXr1k2S9OWXX%2BrkyZPKyMjQtGnTznje3/3ud4qMjFR2dnaLNQ6HQ5JUV1fntay2ttajxuFw6MSJE83OU1tba9Y11bY0p81m86gFAAAXLp8FLJvNpj//%2Bc8aO3asCgoK9Omnn0qShg0bpjFjxujGG2884zk//vhjPfvss3rqqadUVlYm6ftbJ9TW1qq%2Bvl6ff/65LrroIvOQXdOhwh%2BqqKhQRESEQkJCJH1/eK%2BhoUEul8vjMGF9fb2OHj2q2NhYcywmJqbFOSV51Dbn0BtLFWxv5zEW0S9BEZclnMbWAwCAlqxZs0Zr1qzxGDvbc72t4NPvIpSkoUOHaujQoZbMVVZWJsMwNHnyZE2aNMlr%2BaWXXqopU6boiSeeUOfOnVVSUuJVU1xcrLi4OPP3uLg4GYahkpISJSUlmeO7du1SY2OjV%2B327du95ty5c6fCwsLkdDp/tP/uQ%2B9VWJfep7WtAADg9GVkZCgjI8NjbPfu3V4XsZ0rPg9YVrr88sv10ksveY3/7ne/U01Njf74xz/q0ksvlSSNGTNGK1euVFlZmXmrhk2bNqm0tNTj0GRiYqIiIiK0ZMkSj4C1ZMkStWvXTiNHjjTHUlNTVVBQoMLCQt18882SJJfLpfz8fKWkpJh7xQAAwIXNpwFr%2BfLlWr58uT799FN98803MgzDY7nNZmv2nKaWREZGKiUlxWv8ySeflM1m06hRo8yxmTNnKj8/XwkJCZoyZYqqq6uVm5ur/v37a9y4cWad3W7XnDlzlJ2drfT0dA0bNkxbt27V6tWr9dhjj3l81U9qaqry8vI0fvx47d%2B/X1FRUVq8eLEaGxs1e/bs039hAADAec1nAeu3v/2t5s%2BfryuuuEKpqanq1KmTr1Yl6fuw9kPdunXTli1bNHXqVM2YMUOhoaFKTk5Wbm6u156mrKwshYaGasGCBSoqKlL37t2Vl5fndRgyKChIGzduVE5OjhYuXCi32634%2BHitXLlSffr08en2AQCAwGEz/nW3kkWio6N1ww03KD8/3xfTB5SmY8B971rY6s/BKt/2vBpKN%2BnwV9zTCwAQ2Jr%2B//vuu%2B82e6NwX/LZfbDcbrduuukmX00PAADQavksYP37v/%2B73n33XV9NDwAA0Gr5LGAtXrxY27Zt03//93/r22%2B/9dVqAAAAWh2fBawrrrhChw4d0owZMxQZGakOHTooIiLC4xEZGemr1QMAAPiNz64iHDlypNeVfQAAABcCnwWsVatW%2BWpqAACAVs1nhwgBAAAuVD4NWF9%2B%2BaWys7N12WWXqXPnztq2bZuk779eZurUqdq7d68vVw8AAOAXPjtEeODAAQ0ePFj19fW6%2BuqrdeDAAdXX10uSoqKitHnzZh07dkz/8z//46sWAAAA/MJnAWv69OkKDw/Xzp07FRwcrOjoaI/lI0eO1Lp163y1egDAT/TFF1/I5XL5u43TFhUVpR49evi7DUCSDwPWli1b9NBDD%2Bniiy/W0aNHvZb37NlTZWVlvlo9AOAn%2BOKLL/Szn/dVrfu4v1s5bXZHmP5x4CNCFloFnwWshoYGtWvXrsXlLpfL60uXgTPFX9iQAuvfQaD8G3C5XKp1H9clKTlyRLX%2Bft2uL/TZK/PlcrkC4vXF%2Bc9nAeuqq67Sa6%2B9pokTJ3ota2ho0AsvvKBf/OIXvlo9LgD8hQ0p8P4dBNq/AUdUj1b/JfVAa%2BSzgPXb3/5WKSkpmjRpkm699VZJ3/9F9NZbb2nu3Ln68MMP9dRTT/lq9bgA8Bc2pMD6d8C/AeDC4dM7uS9fvlz333%2B/Fi9eLEnKyMiQJIWHh%2Bt///d/lZCQ4KvV4wLCX9iQ%2BHcAoHXxWcCSpHHjxmnMmDF67bXX9PHHH6uxsVG9evXS8OHD1aFDB1%2BuGgAAwG98GrAkqX379kpLS/P1agAAAFoNnwWs8vLy06qLjY31VQsAAAB%2B4bOA1a1bN9lstlPWNTQ0%2BKoFAAAAv/BZwFq2bJlXwGpoaNBnn32mP//5z4qJidG9997rq9UDAAD4jc8C1t13393ispkzZyo%2BPl61tbW%2BWj0AAIDfBPljpeHh4brrrru0YMECf6weAADAp/wSsJpUVFT4c/UAAAA%2B4fPbNPyr48ePa%2BvWrcrNzVVcXNy5Xj0AAIDP%2BSxghYSENHsVYUNDgwzDUNeuXfX000/7avUAAAB%2B47OA9eCDD3oFLJvNpk6dOpl3cw8JCfHV6gEAAPzGZwHr0Ucf9dXU8LGGhgbt3r3b322c0kcffeTvFgAAaNY5PwcLrVtD7XeqrHRp4MCB/m4FAICA5bOANWHChDN%2Bjs1m09KlS33QDU5X48laGY2NuiQlR46oHv5u50d9%2B/EuVWxd6e82AADw4rOAtXHjRrndblVWVkr6/kufJam6ulqSFBERIYfD4fGc0/lqHZwbjqgeCuvS299t/Ci365C/WwAAoFk%2Buw/WG2%2B8obCwME2fPl3l5eWqqqpSVVWVysvLlZOTo3bt2unNN9/UoUOHzMcXX3zhq3YAAADOGZ/twcrOztbQoUM1b948j/EuXbro8ccfl8vlUnZ2tt544w1ftQC0SoFycn5UVJR69Gjdh4kBoLXyWcDauXOnxowZ0%2BLyQYMG6cUXXzyjOT/88EPNnj1b7777rr7Y6LEAAAAfAElEQVT66iuFhYWpX79%2BysnJUXJyskftgQMHdP/99%2Bvvf/%2B7QkNDNXLkSD3xxBOKiorymnf58uVasGCB/vnPf6p79%2B6aPHmysrOzveqqqqqUk5Ojv/zlLzp%2B/Lji4%2BO1YMECXXXVVWe0Hbgw1ddUSjabbr/9dn%2B3clrsjjD948BHhCwAOAs%2BC1gdO3bU66%2B/rqysrGaXb9y4UR06dDijOT///HPV1NRo3Lhxio2N1fHjx1VQUKCUlBQtW7bM/ILpsrIyDR48WJ06ddK8efNUXV2t%2BfPna9%2B%2BfSouLlabNv%2B32UuXLlVWVpbS0tI0bdo0bdu2TZMnT5bb7VZOTo5ZZxiGRowYoQ8%2B%2BEDTp09XZGSkFi9erISEBO3evVu9evU6i1cJF5KTtd9JhhEQFxC4XV/os1fmy%2BVyEbAA4Cz49CrC2bNna8yYMZo0aZJ69/7%2BhOmDBw9q4cKF2rBhg2bNmnVGcw4fPlzDhw/3GMvOztaAAQP0xBNPmAFr7ty5crvd2rt3r7p27SpJuvrqqzV06FCtWLHCrKutrdVDDz2kUaNGmXvTMjMz1dDQoDlz5mjChAlmCFy3bp127NihgoICjR49WpKUlpYmp9OpWbNmadWqVWf5SuFCEwgXEAAAfhqfneT%2B8MMP68EHH1RRUZGGDBminj17qmfPnrrxxhu1fv16/b//9//0yCOP/OT12Gw2de/eXd9%2B%2B605VlhYqOTkZDNcSdKQIUPkdDq1du1ac2zz5s2qrKzUxIkTPea87777VFNTow0bNphjBQUF6tKlixmupO/PUUlPT9fLL7%2Bs%2Bvr6n7wtAADg/OCzPVg2m01/%2BMMf9MADD%2Bj11183rxDs2bOnhg4dqosvvvis5z5%2B/Ljcbreqqqr08ssva%2BPGjcrIyJAklZeX68iRIxo0aJDX8%2BLj47Vx40bz9z179kiS1001Bw4cqKCgIO3Zs0e/%2Bc1vzNoBAwY0O%2Bezzz6r0tJSXXbZZWe9TQAA4Pzh8zu5R0dH64477rB0zmnTppk3JA0KCtKYMWO0cOFCSVJFRYUkKSYmxut5MTExqqysVH19vUJCQlRRUaHg4GCvE99DQkIUGRmp8vJyc6yiokK/%2BtWvmp1T%2Bj7YEbAAAIDkw0OEktTY2Kj8/Hzdd999SktL0759%2ByRJx44d0yuvvKIjR46c1bwPPPCA3nzzTa1cuVIjRoxQQ0OD6urqJElut1uS1LZtW6/n2e12jxq3263Q0NBm12G32826ptqW5jQMw6MWAABc2HwWsI4dO6bBgwcrPT1dK1asUGFhoRmowsLClJWVpaeeeuqs5nY6nUpMTNTtt9%2BuV155RdXV1UpJSZEk8%2B7wTYHrh2praz1qHA6HTpw40ew6amtrPe4073A4WpzTZrN53ZUeAABcuHx2iPC3v/2t3nvvPW3YsEGDBg3yOOeqTZs2Sk1N1auvvqq5c%2Bf%2B5HWlpqbqP//zP3Xw4EHzkF3TocIfqqioUEREhEJCQiR9f3ivoaFBLpfL4zBhfX29jh49qtjYWHMsJiamxTkledS25NAbSxVsb%2BcxFtEvQRGXJZx6IwEAQIvWrFmjNWvWeIxVVVX5qRsfBqyXXnpJkyZN0vDhw3X06FGv5U6nUytXWvNFvU2H56qqqtSnTx917txZJSUlXnXFxcWKi4szf4%2BLi5NhGCopKVFSUpI5vmvXLjU2NnrVbt%2B%2B3WvOnTt3KiwsTE6n85R9dh96L5fnAwDgAxkZGeYFb012797tdSHbueKzQ4TffPONLr300haXnzx58oxvbfD11183O8%2Bf/vQnORwO9evXT5I0ZswYrV%2B/XmVlZWbdpk2bVFpaqvT0dHMsMTFRERERWrJkicecS5YsUbt27TRy5EhzLDU1VYcPH1ZhYaE55nK5lJ%2Bfr5SUFHOvGAAAgM/2YPXq1cu8DUJz3nzzTfXt2/eM5rz33nt17Ngx3XDDDeratau%2B%2BuorPf/88/rHP/6hJ554QmFhYZKkmTNnKj8/XwkJCZoyZYqqq6uVm5ur/v37a9y4ceZ8drtdc%2BbMUXZ2ttLT0zVs2DBt3bpVq1ev1mOPPaaOHTuatampqcrLy9P48eO1f/9%2BRUVFafHixWpsbNTs2bPPaDsAAMD5zWcBKzMzUzNnztSQIUOUkJAg6ft7Y9XX1%2BvRRx/Vq6%2B%2BqmeeeeaM5rz11lu1fPlyPfPMMzp69Kjat2%2BvgQMHav78%2BR57m7p166YtW7Zo6tSpmjFjhkJDQ5WcnKzc3FyvPU1ZWVkKDQ3VggULVFRUpO7duysvL0%2BTJk3yqAsKCtLGjRuVk5OjhQsXyu12Kz4%2BXitXrlSfPn3O7kUCAADnJZ8FrAceeEAffPCB0tLSFBkZKUm644475HK5dOLECWVmZuqee%2B45oznT09M9DvH9mL59%2B3rcVPTHZGZmKjMz85R1HTp00LJly7Rs2bLTmhcAAFyYfHon9%2Beee0533nmn8vPzdfDgQTU2NqpXr15KT09XYmKir1YNAADgVz4JWHV1ddq0aZN69OihhIQE8xAhAADAhcAnVxGGhoZq9OjR2rZtmy%2BmBwAAaNV8sgfLZrOpd%2B/eqqys9MX0ABDQPvroI3%2B3cEqB0CPQmvn0Tu4PPvigbrnlFvXuzc01AaC%2BplKy2XT77bf7uxUAPuazgLVnzx516tRJ/fr105AhQ3TJJZd4fV%2BfzWbTggULfNUCALQqJ2u/kwxDl6TkyBHVw9/t/KhvP96liq3WfNsGcCHyWcDKy8szf3799debrSFgAbgQOaJ6tPqvzXK7Dvm7BSCg%2BSxgnenX4AAAAJwvLL2KcObMmXr//fclScHBwaf1AAAAON9YGrDmzZunffv2mb8fPXpUwcHB%2Btvf/mblagAAAFo1n9wH64cMw/D1KgAAAFoVnwcsAACACw0BCwAAwGKWX0X42Wefaffu3ZKkqqoqSdLBgwfVsWPHZusHDBhgdQsAAAB%2BZXnAevjhh/Xwww97jE2cONGrzjAM2Ww2NTQ0WN0CAACAX1kasJ577jkrpwMAAAhIlgasO%2B%2B808rpAAAAAhInuQMAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFAipglZSUKDs7W5dffrnCw8PVs2dP3XLLLTp48KBX7YEDB5SUlKT27dsrMjJSY8eOlcvlanbe5cuXq1%2B/fnI4HHI6nVq0aFGzdVVVVZowYYKio6MVHh6uxMRE7dmzx9JtBAAAga%2BNvxs4E48//rjefvttpaWl6corr9RXX32lhQsXasCAAXrnnXfUr18/SVJZWZkGDx6sTp06ad68eaqurtb8%2BfO1b98%2BFRcXq02b/9vspUuXKisrS2lpaZo2bZq2bdumyZMny%2B12Kycnx6wzDEMjRozQBx98oOnTpysyMlKLFy9WQkKCdu/erV69ep3z1wMAALROARWwpk2bpjVr1ngEpPT0dF1xxRWaN2%2BeVq5cKUmaO3eu3G639u7dq65du0qSrr76ag0dOlQrVqzQ3XffLUmqra3VQw89pFGjRunFF1%2BUJGVmZqqhoUFz5szRhAkT1KFDB0nSunXrtGPHDhUUFGj06NGSpLS0NDmdTs2aNUurVq06Z68DAABo3QLqEOE111zjEa4kqXfv3rrsssv00UcfmWOFhYVKTk42w5UkDRkyRE6nU2vXrjXHNm/erMrKSk2cONFjzvvuu081NTXasGGDOVZQUKAuXbqY4UqSoqKilJ6erpdffln19fWWbScAAAhsARWwWnL48GFFRUVJksrLy3XkyBENGjTIqy4%2BPt7jnKmmnwcOHOhRN3DgQAUFBXnVDhgwoNk5jx8/rtLSUku2BQAABL6AD1irVq1SWVmZbr31VklSRUWFJCkmJsarNiYmRpWVlebepoqKCgUHB5vhrElISIgiIyNVXl5ujlVUVLQ4pySPWgAAcGEL6IB14MABZWdn6/rrr9fYsWMlSW63W5LUtm1br3q73e5R43a7FRoa2uzcdrvdrGuqbWlOwzA8agEAwIUtYAPW4cOHNXLkSHXq1Enr1q2TzWaTJDkcDklSXV2d13Nqa2s9ahwOh06cONHs/LW1tWZdU21Lc9psNo9aAABwYQuoqwibHDt2TElJSTp27Ji2b9%2BuLl26mMuaDtk1HSr8oYqKCkVERCgkJMSsbWhokMvl8jhMWF9fr6NHjyo2NtZj3pbmlORR25JDbyxVsL2dx1hEvwRFXJZwyucCAICWrVmzRmvWrPEYq6qq8lM3ARiw6urqlJycrI8//libNm3Sz372M4/lsbGx6ty5s0pKSryeW1xcrLi4OPP3uLg4GYahkpISJSUlmeO7du1SY2OjV%2B327du95ty5c6fCwsLkdDpP2Xv3ofcqrEvv09pOAABw%2BjIyMpSRkeExtnv3bq8L2c6VgDpE2NjYqPT0dL3zzjvKz89XfHx8s3VjxozR%2BvXrVVZWZo5t2rRJpaWlSk9PN8cSExMVERGhJUuWeDx/yZIlateunUaOHGmOpaam6vDhwyosLDTHXC6X8vPzlZKSYu4VAwAACKg9WFOnTlVRUZFSUlLkcrn0/PPPeyy/7bbbJEkzZ85Ufn6%2BEhISNGXKFFVXVys3N1f9%2B/fXuHHjzHq73a45c%2BYoOztb6enpGjZsmLZu3arVq1frscceU8eOHc3a1NRU5eXlafz48dq/f7%2BioqK0ePFiNTY2avbs2edi8wEAQIAIqID13nvvyWazqaioSEVFRV7LmwJWt27dtGXLFk2dOlUzZsxQaGiokpOTlZub67WnKSsrS6GhoVqwYIGKiorUvXt35eXladKkSR51QUFB2rhxo3JycrRw4UK53W7Fx8dr5cqV6tOnj%2B82GgAABJyAClibN28%2B7dq%2Bfftq48aNp1WbmZmpzMzMU9Z16NBBy5Yt07Jly067DwAAcOEJqHOwAAAAAgEBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIu18XcDAFqvjz76yN8tnFIg9AjgwkPAAuClvqZSstl0%2B%2B23%2B7sVAAhIBCwAXk7WficZhi5JyZEjqoe/2/lR3368SxVbV/q7DQDwQMAC0CJHVA%2BFdent7zZ%2BlNt1yN8tAIAXTnIHAACwGHuwAADnjUC56CEqKko9erTuw%2B/4aQhYAICAF2gXZtgdYfrHgY8IWecxAhYAIOAF0oUZbtcX%2BuyV%2BXK5XASs8xgBCwBw3giECzNwYeAkdwAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwWMAFrO%2B%2B%2B06zZs3S8OHDFRkZqaCgIK1cubLZ2gMHDigpKUnt27dXZGSkxo4dK5fL1Wzt8uXL1a9fPzkcDjmdTi1atKjZuqqqKk2YMEHR0dEKDw9XYmKi9uzZY9n2AQCAwBdwAcvlcmnOnDk6cOCA4uLiZLPZmq0rKyvT4MGD9emnn2revHnKycnRhg0bdNNNN%2BnkyZMetUuXLtU999yjK664QosWLdJ1112nyZMna/78%2BR51hmFoxIgReuGFF8zlX3/9tRISEvTJJ5/4bJsBAEBgCbg7ucfGxuqrr75SdHS03n33XV199dXN1s2dO1dut1t79%2B5V165dJUlXX321hg4dqhUrVujuu%2B%2BWJNXW1uqhhx7SqFGj9OKLL0qSMjMz1dDQoDlz5mjChAnq0KGDJGndunXasWOHCgoKNHr0aElSWlqanE6nZs2apVWrVvl68wEAQAAIuD1YISEhio6OPmVdYWGhkpOTzXAlSUOGDJHT6dTatWvNsc2bN6uyslITJ070eP59992nmpoabdiwwRwrKChQly5dzHAlff%2BN6Onp6Xr55ZdVX1//UzYNAACcJwIuYJ2O8vJyHTlyRIMGDfJaFh8f73HOVNPPAwcO9KgbOHCggoKCvGoHDBjQ7JzHjx9XaWmpVZsAAAAC2HkZsCoqKiRJMTExXstiYmJUWVlp7m2qqKhQcHCwoqKiPOpCQkIUGRmp8vJyj3lbmlOSRy0AALhwnZcBy%2B12S5Latm3rtcxut3vUuN1uhYaGNjuP3W4365pqW5rTMAyPWgAAcOE6LwOWw%2BGQJNXV1Xktq62t9ahxOBw6ceJEs/PU1taadU21Lc1ps9k8agEAwIUr4K4iPB1Nh%2ByaDhX%2BUEVFhSIiIhQSEmLWNjQ0yOVyeRwmrK%2Bv19GjRxUbG%2Bsxb0tzSvKobc6hN5Yq2N7OYyyiX4IiLks4vQ0DAADNWrNmjdasWeMxVlVV5aduztOAFRsbq86dO6ukpMRrWXFxseLi4szf4%2BLiZBiGSkpKlJSUZI7v2rVLjY2NXrXbt2/3mnPnzp0KCwuT0%2Bn80b66D71XYV16n80mAQCAH5GRkaGMjAyPsd27d3tdxHaunJeHCCVpzJgxWr9%2BvcrKysyxTZs2qbS0VOnp6eZYYmKiIiIitGTJEo/nL1myRO3atdPIkSPNsdTUVB0%2BfFiFhYXmmMvlUn5%2BvlJSUsy9YgAA4MIWkHuwnn76aX377bdmeHrllVd06NAhSdLkyZPVvn17zZw5U/n5%2BUpISNCUKVNUXV2t3Nxc9e/fX%2BPGjTPnstvtmjNnjrKzs5Wenq5hw4Zp69atWr16tR577DF17NjRrE1NTVVeXp7Gjx%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%2BjNN9/0d1sAAKAVIWCdoTvvvFN5eXm644479Mc//lFt2rTRiBEj9Pbbb/u7NQAA0EoQsM5AcXGxXnzxRc2bN0/z5s3T3XffrU2bNqlnz56aPn26v9uDH1Xuf8vfLcCHeH/Pb7y/8AUC1hnIz89XmzZtdM8995hjbdu2VWZmpnbs2KGysjI/dgd/qvzwLX%2B3AB/i/T2/8f7CF9r4u4FAsnfvXjmdToWHh3uMx8fHm8u7du3qj9YAAAHmo48%2B8ncLpyUqKko9evTwdxsBh4B1BioqKhQTE%2BM1HhMTI8MwVF5e7oeuAACBpL6mUrLZdPvtt/u7ldNid4TpHwc%2BImSdIQLWGXC73Wrbtq3XuN1uN5cDAPBjTtZ%2BJxmGLknJkSOqdYcWt%2BsLffbKfLlcLgLWGSJgnQGHw6G6ujqv8draWnN5c5qC12cb8hQc2nxNa1Fb%2BaUk6duPd8ntOuTnbn5czaH9klpHryeOuXR03%2BYfrWlN/Z4KvXo6nff3dPC6%2Bs5P6deq9/d0NfVa9%2B1hSbZztt6z8X2PgXM481819e2XHSAGTtvQoUONyy67zGt806ZNhs1mM9avX9/s81atWmVI4sGDBw8ePHj44bFq1SpfRwQv7ME6A3FxcXrrrbdUU1PjcaL7zp07ZbPZFBcX1%2Bzzhg0bplWrVumSSy5pcS8XAACwltvt1meffaZhw4ad83XbDMMwzvlaA1RxcbGuueYa5ebmaurUqZK%2Bv7P75Zdfrs6dO%2Bvvf/%2B7nzsEAACtAXuwzkB8fLzS0tI0Y8YMHT58WL1799aKFSv0%2Beef67nnnvN3ewAAoJVgD9YZOnHihB5%2B%2BGGtWrVK33zzja688ko9%2BuijuvHGG/3dGgAAaCUIWAAAABbjq3IAAAAsRsDyoRMnTujBBx9U165dFRYWpmuuuUZvvvmmv9uCBbZs2aKgoCCvR3BwsIqLi/3dHs7Ad999p1mzZmn48OGKjIxUUFCQVq5c2WztgQMHlJSUpPbt2ysyMlJjx46Vy%2BU6xx3jTJzu%2Bzt%2B/PhmP9P9%2BvXzQ9c4XSUlJcrOztbll1%2Bu8PBw9ezZU7fccosOHjzoVXuuP7%2Bc5O5Dd955pwoLC/XAAw%2BYJ8SPGDFCb731lq677jp/twcL3H///Ro0aJDHWO/evf3UDc6Gy%2BXSnDlz1LNnT/NWLM0pKyvT4MGD1alTJ82bN0/V1dWaP3%2B%2B9u3bp%2BLiYrVpw39OW6PTfX%2Bl77%2BVY/ny5frhmTMdOnQ4B13ibD3%2B%2BON6%2B%2B23lZaWpiuvvFJfffWVFi5cqAEDBuidd94xA7JfPr/n/M5bF4h33nnHsNlsxhNPPGGO1dbWGr179zauv/56P3YGK7z11luGzWYzCgoK/N0KfqITJ04Yhw8fNgzDMEpKSgybzWb86U9/8qrLysoy2rVrZ3z55Zfm2JtvvmnYbDbj2WefPWf94syc7vs7btw4o3379ue6PfxEO3bsMOrr6z3GDh48aNjtduOOO%2B4wx/zx%2BeUQoY/k5%2BerTZs2uueee8yxtm3bKjMzUzt27FBZWZkfu4OVampq1NDQ4O82cJZCQkIUHR19yrrCwkIlJyera9eu5tiQIUPkdDq1du1aX7aIn%2BB0398mjY2Nqq6u9mFHsNI111zjtfepd%2B/euuyyyzy%2B3scfn18Clo/s3btXTqfT447v0vf30mpajsA3fvx4XXTRRbLb7UpMTNS7777r75bgA%2BXl5Tpy5IjX4WDp%2B8/0nj17/NAVrHb8%2BHFddNFF6tChgyIjI5Wdna3vvvvO323hLBw%2BfFhRUVGS/Pf55aQBH6moqFBMTIzXeExMjAzDUHl5uR%2B6glVCQ0OVmpqqESNGKCoqSh9%2B%2BKFyc3N1ww036O2331b//v393SIsVFFRIUktfqYrKytVX1%2BvkJCQc90aLBIbG6vp06drwIABamxs1GuvvabFixfr/fff11tvvaWgIPZHBIpVq1aprKxMjz76qCT/fX4JWD7idrvVtm1br3G73W4uR%2BC69tprde2115q/Jycna8yYMbryyis1Y8YMvfrqq37sDlZr%2Brye6jNNwApcc%2BfO9fg9PT1dffr00UMPPaT8/Hylp6f7qTOciQMHDig7O1vXX3%2B9xo4dK8l/n18iuY84HA7V1dV5jdfW1prLcX7p1auXfv3rX2vz5s0eVyEh8DV9XvlMX1geeOAB2Ww2bq8TIA4fPqyRI0eqU6dOWrdunWw2myT/fX4JWD4SExNj7pb8oaax2NjYc90SzoHu3bvrxIkTnLdxnmk6tNDSZzoiIoK9V%2Bchu92uyMhIVVZW%2BrsVnMKxY8eUlJSkY8eO6bXXXlOXLl3MZf76/BKwfCQuLk6lpaWqqanxGN%2B5c6dsNpvi4uL81Bl86ZNPPpHdbve6uAGBLTY2Vp07d1ZJSYnXsuLiYj7P56mamhq5XC517tzZ363gR9TV1Sk5OVkff/yxNmzYoJ/97Gcey/31%2BSVg%2BUhqaqpOnjypZcuWmWMnTpzQihUrdM0113hcKorA09zdf9977z0VFRVp2LBhfugIvjZmzBitX7/e4xYrmzZtUmlpKefnBLi6ujqvP4Yl6fe//70kafjw4ee6JZymxsZGpaen65133lF%2Bfr55pf6/8sfnly979qFbbrlFf/nLX3T//febd3IvKSnR3/72N11//fX%2Bbg8/wZAhQ%2BRwOHTdddcpOjpa%2B/fv17PPPqu2bdvq7bff9voLCq3b008/rW%2B//VZlZWV65plndPPNN%2Buqq66SJE2ePFnt27fXl19%2BqQEDBqhDhw6aMmWKqqurlZubqx49eqi4uJhDhK3Yqd7fyspKXXXVVcrIyNDPf/5zSdJrr72mjRs3asSIEVq/fr0/28ePuP/%2B%2B/XHP/5RKSkpSktL81p%2B2223SZJ/Pr8%2BuX0pDMMwjLq6OmP69OlGbGys4XA4jF/84hfGG2%2B84e%2B2YIGFCxca11xzjREVFWWEhoYaXbt2Ne68807jk08%2B8XdrOAuXXHKJERQU1Ozj888/N%2Bs%2B/PBDIykpyQgPDzciIiKMsWPHGkeOHPFj5zgdp3p/v/32W2Ps2LGG0%2Bk0wsPDDYfDYVxxxRXG448/bpw8edLf7eNHJCQktPjeBgUFedSe688ve7AAAAAsxjlYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGCx/w9LEp37WUqsCAAAAABJRU5ErkJggg%3D%3D\"/>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common8362409319507859673\">\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">4698</td>\n",
+       "        <td class=\"number\">15.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:46%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">14.0</td>\n",
+       "        <td class=\"number\">2023</td>\n",
+       "        <td class=\"number\">6.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">5.0</td>\n",
+       "        <td class=\"number\">1986</td>\n",
+       "        <td class=\"number\">6.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">10.0</td>\n",
+       "        <td class=\"number\">1984</td>\n",
+       "        <td class=\"number\">6.7%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">3.0</td>\n",
+       "        <td class=\"number\">1576</td>\n",
+       "        <td class=\"number\">5.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">7.0</td>\n",
+       "        <td class=\"number\">1571</td>\n",
+       "        <td class=\"number\">5.3%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">2.0</td>\n",
+       "        <td class=\"number\">1446</td>\n",
+       "        <td class=\"number\">4.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">6.0</td>\n",
+       "        <td class=\"number\">1304</td>\n",
+       "        <td class=\"number\">4.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">1.0</td>\n",
+       "        <td class=\"number\">1303</td>\n",
+       "        <td class=\"number\">4.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">4.0</td>\n",
+       "        <td class=\"number\">1302</td>\n",
+       "        <td class=\"number\">4.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (256)</td>\n",
+       "        <td class=\"number\">10330</td>\n",
+       "        <td class=\"number\">35.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme8362409319507859673\">\n",
+       "            <p class=\"h4\">Minimum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.0</td>\n",
+       "        <td class=\"number\">4698</td>\n",
+       "        <td class=\"number\">15.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.02</td>\n",
+       "        <td class=\"number\">19</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.04</td>\n",
+       "        <td class=\"number\">5</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.05</td>\n",
+       "        <td class=\"number\">5</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">0.1</td>\n",
+       "        <td class=\"number\">15</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "            <p class=\"h4\">Maximum 5 values</p>\n",
+       "            \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">16.3</td>\n",
+       "        <td class=\"number\">4</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">16.4</td>\n",
+       "        <td class=\"number\">4</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">16.5</td>\n",
+       "        <td class=\"number\">5</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">17.0</td>\n",
+       "        <td class=\"number\">43</td>\n",
+       "        <td class=\"number\">0.1%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">18.0</td>\n",
+       "        <td class=\"number\">6</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        </div>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>stationId</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td>27-0039-00-202</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow ignore\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\"><s><code>stationName</code></s><br/>\n",
+       "            <small>Constant</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
+       "</div>\n",
+       "<div class=\"col-md-6\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr>\n",
+       "            <th>Constant value</th>\n",
+       "            <td>CEDAR</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">statisticType<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>2</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>200.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>100.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>29530</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-549575781760974197\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Minimum</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        1\n",
+       "    </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "    <th>(Missing)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 100.0%\">\n",
+       "            29530\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-549575781760974197, #minifreqtable-549575781760974197\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-549575781760974197\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Minimum</td>\n",
+       "        <td class=\"number\">1</td>\n",
+       "        <td class=\"number\">0.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"missing\">\n",
+       "        <td class=\"fillremaining\">(Missing)</td>\n",
+       "        <td class=\"number\">29530</td>\n",
+       "        <td class=\"number\">100.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">testMethodId<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>53</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.2%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2377848057333797115\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>FLD</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 76.2%\">\n",
+       "            22499\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>4500-P-E</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:13%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 9.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2825\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>LEG_UNKNOWN</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 2.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        777\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (50)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:16%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 11.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        3430\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2377848057333797115, #minifreqtable2377848057333797115\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2377848057333797115\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">FLD</td>\n",
+       "        <td class=\"number\">22499</td>\n",
+       "        <td class=\"number\">76.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">4500-P-E</td>\n",
+       "        <td class=\"number\">2825</td>\n",
+       "        <td class=\"number\">9.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">LEG_UNKNOWN</td>\n",
+       "        <td class=\"number\">777</td>\n",
+       "        <td class=\"number\">2.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">10200-H</td>\n",
+       "        <td class=\"number\">580</td>\n",
+       "        <td class=\"number\">2.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">FLD TURB PROBE</td>\n",
+       "        <td class=\"number\">573</td>\n",
+       "        <td class=\"number\">1.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">DO WINKLER</td>\n",
+       "        <td class=\"number\">404</td>\n",
+       "        <td class=\"number\">1.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">4500-N-C</td>\n",
+       "        <td class=\"number\">268</td>\n",
+       "        <td class=\"number\">0.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">4500-CL-(B)</td>\n",
+       "        <td class=\"number\">224</td>\n",
+       "        <td class=\"number\">0.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">4500-SI(D)</td>\n",
+       "        <td class=\"number\">136</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">3113-B</td>\n",
+       "        <td class=\"number\">132</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (43)</td>\n",
+       "        <td class=\"number\">1113</td>\n",
+       "        <td class=\"number\">3.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div><div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-3 namecol\">\n",
+       "        <p class=\"h4\">testMethodName<br/>\n",
+       "            <small>Categorical</small>\n",
+       "        </p>\n",
+       "    </div><div class=\"col-md-3\">\n",
+       "    <table class=\"stats \">\n",
+       "        <tr class=\"alert\">\n",
+       "            <th>Distinct count</th>\n",
+       "            <td>53</td>\n",
+       "        </tr>\n",
+       "        <tr>\n",
+       "            <th>Unique (%)</th>\n",
+       "            <td>0.2%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (%)</th>\n",
+       "            <td>0.0%</td>\n",
+       "        </tr>\n",
+       "        <tr class=\"ignore\">\n",
+       "            <th>Missing (n)</th>\n",
+       "            <td>0</td>\n",
+       "        </tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-1834086838051597733\">\n",
+       "    <table class=\"mini freq\">\n",
+       "        <tr class=\"\">\n",
+       "    <th>Field measurement/observation, generic method</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 76.2%\">\n",
+       "            22499\n",
+       "        </div>\n",
+       "        \n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Phosphorus in Water by Colorimetry- Ascorbic Acid Method</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:13%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 9.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        2825\n",
+       "    </td>\n",
+       "</tr><tr class=\"\">\n",
+       "    <th>Legacy STORET migration; analytical procedure not specified</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 2.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        777\n",
+       "    </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "    <th>Other values (50)</th>\n",
+       "    <td>\n",
+       "        <div class=\"bar\" style=\"width:16%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
+       "             data-delay=500 title=\"Percentage: 11.6%\">\n",
+       "            &nbsp;\n",
+       "        </div>\n",
+       "        3430\n",
+       "    </td>\n",
+       "</tr>\n",
+       "    </table>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 text-right\">\n",
+       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-1834086838051597733, #minifreqtable-1834086838051597733\"\n",
+       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
+       "        Toggle details\n",
+       "    </a>\n",
+       "</div>\n",
+       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1834086838051597733\">\n",
+       "    \n",
+       "<table class=\"freq table table-hover\">\n",
+       "    <thead>\n",
+       "    <tr>\n",
+       "        <td class=\"fillremaining\">Value</td>\n",
+       "        <td class=\"number\">Count</td>\n",
+       "        <td class=\"number\">Frequency (%)</td>\n",
+       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
+       "    </tr>\n",
+       "    </thead>\n",
+       "    <tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Field measurement/observation, generic method</td>\n",
+       "        <td class=\"number\">22499</td>\n",
+       "        <td class=\"number\">76.2%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Phosphorus in Water by Colorimetry- Ascorbic Acid Method</td>\n",
+       "        <td class=\"number\">2825</td>\n",
+       "        <td class=\"number\">9.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Legacy STORET migration; analytical procedure not specified</td>\n",
+       "        <td class=\"number\">777</td>\n",
+       "        <td class=\"number\">2.6%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Chlorophyll a-b-c Determination</td>\n",
+       "        <td class=\"number\">580</td>\n",
+       "        <td class=\"number\">2.0%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Turbidity, Probe Method</td>\n",
+       "        <td class=\"number\">573</td>\n",
+       "        <td class=\"number\">1.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Dissolved Oxygen, Iodometric Method with Azide Modification</td>\n",
+       "        <td class=\"number\">404</td>\n",
+       "        <td class=\"number\">1.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Persufate Method for Total Nitrogen</td>\n",
+       "        <td class=\"number\">268</td>\n",
+       "        <td class=\"number\">0.9%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Chloride in Water by Titration- Argentometric Method</td>\n",
+       "        <td class=\"number\">224</td>\n",
+       "        <td class=\"number\">0.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Silica in Water by Spectrophotometry- Molybdosilicate Method</td>\n",
+       "        <td class=\"number\">136</td>\n",
+       "        <td class=\"number\">0.5%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"\">\n",
+       "        <td class=\"fillremaining\">Metals in Water by GFAA</td>\n",
+       "        <td class=\"number\">132</td>\n",
+       "        <td class=\"number\">0.4%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr><tr class=\"other\">\n",
+       "        <td class=\"fillremaining\">Other values (43)</td>\n",
+       "        <td class=\"number\">1113</td>\n",
+       "        <td class=\"number\">3.8%</td>\n",
+       "        <td>\n",
+       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
+       "        </td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "</div>\n",
+       "</div>\n",
+       "    <div class=\"row headerrow highlight\">\n",
+       "        <h1>Sample</h1>\n",
+       "    </div>\n",
+       "    <div class=\"row variablerow\">\n",
+       "    <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
+       "        <table border=\"1\" class=\"dataframe sample\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>analysisDate</th>\n",
+       "      <th>collectingOrg</th>\n",
+       "      <th>comments</th>\n",
+       "      <th>county</th>\n",
+       "      <th>gtlt</th>\n",
+       "      <th>parameter</th>\n",
+       "      <th>result</th>\n",
+       "      <th>resultUnit</th>\n",
+       "      <th>sampleDate</th>\n",
+       "      <th>sampleTime</th>\n",
+       "      <th>sampleDepthUnit</th>\n",
+       "      <th>sampleFractionType</th>\n",
+       "      <th>sampleLowerDepth</th>\n",
+       "      <th>sampleType</th>\n",
+       "      <th>sampleUpperDepth</th>\n",
+       "      <th>stationId</th>\n",
+       "      <th>stationName</th>\n",
+       "      <th>statisticType</th>\n",
+       "      <th>testMethodId</th>\n",
+       "      <th>testMethodName</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1901-01-01</td>\n",
+       "      <td>MPCA Lake Monitoring Program Project</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Chlorophyll a, uncorrected for pheophytin</td>\n",
+       "      <td>8.79</td>\n",
+       "      <td>ug/L</td>\n",
+       "      <td>1971-06-08</td>\n",
+       "      <td>00:01:00</td>\n",
+       "      <td>m</td>\n",
+       "      <td>Total</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sample</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>27-0039-00-202</td>\n",
+       "      <td>CEDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>LEG_P32210</td>\n",
+       "      <td>CHLOROPHYLL-A UG/L TRICHROMATIC UNCORRECTED</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1901-01-01</td>\n",
+       "      <td>MPCA Lake Monitoring Program Project</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Chlorophyll a, uncorrected for pheophytin</td>\n",
+       "      <td>3.88</td>\n",
+       "      <td>ug/L</td>\n",
+       "      <td>1972-07-12</td>\n",
+       "      <td>00:01:00</td>\n",
+       "      <td>m</td>\n",
+       "      <td>Total</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sample</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>27-0039-00-202</td>\n",
+       "      <td>CEDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>LEG_P32210</td>\n",
+       "      <td>CHLOROPHYLL-A UG/L TRICHROMATIC UNCORRECTED</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1901-01-01</td>\n",
+       "      <td>MPCA Lake Monitoring Program Project</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Chlorophyll a, uncorrected for pheophytin</td>\n",
+       "      <td>13.7</td>\n",
+       "      <td>ug/L</td>\n",
+       "      <td>1972-07-24</td>\n",
+       "      <td>00:01:00</td>\n",
+       "      <td>m</td>\n",
+       "      <td>Total</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sample</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>27-0039-00-202</td>\n",
+       "      <td>CEDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>LEG_P32210</td>\n",
+       "      <td>CHLOROPHYLL-A UG/L TRICHROMATIC UNCORRECTED</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1901-01-01</td>\n",
+       "      <td>MPCA Lake Monitoring Program Project</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Chlorophyll a, uncorrected for pheophytin</td>\n",
+       "      <td>18.76</td>\n",
+       "      <td>ug/L</td>\n",
+       "      <td>1972-08-09</td>\n",
+       "      <td>00:01:00</td>\n",
+       "      <td>m</td>\n",
+       "      <td>Total</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sample</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>27-0039-00-202</td>\n",
+       "      <td>CEDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>LEG_P32210</td>\n",
+       "      <td>CHLOROPHYLL-A UG/L TRICHROMATIC UNCORRECTED</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1901-01-01</td>\n",
+       "      <td>MPCA Lake Monitoring Program Project</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Chlorophyll a, uncorrected for pheophytin</td>\n",
+       "      <td>17.16</td>\n",
+       "      <td>ug/L</td>\n",
+       "      <td>1972-08-18</td>\n",
+       "      <td>00:01:00</td>\n",
+       "      <td>m</td>\n",
+       "      <td>Total</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sample</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>27-0039-00-202</td>\n",
+       "      <td>CEDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>LEG_P32210</td>\n",
+       "      <td>CHLOROPHYLL-A UG/L TRICHROMATIC UNCORRECTED</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "    </div>\n",
+       "</div>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "<pandas_profiling.ProfileReport at 0x1e94570ad68>"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "pandas_profiling.ProfileReport(lake_qual)"
    ]
@@ -1493,17 +14139,63 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Hmm for some reason result is being treated as a categorical variable. Let's make it a floating point.**"
+    "**Hmm for some reason result is being treated as a categorical variable.**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:15:05.273333",
+     "start_time": "2017-02-08T09:15:05.029227"
+    },
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "could not convert string to float: '3.MED ALGAE'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-46-65afbef40f48>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlake_qual\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'result'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlake_qual\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'result'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'float'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, raise_on_error, **kwargs)\u001b[0m\n\u001b[1;32m   2948\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2949\u001b[0m         mgr = self._data.astype(dtype=dtype, copy=copy,\n\u001b[0;32m-> 2950\u001b[0;31m                                 raise_on_error=raise_on_error, **kwargs)\n\u001b[0m\u001b[1;32m   2951\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_constructor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmgr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__finalize__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2952\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, **kwargs)\u001b[0m\n\u001b[1;32m   2936\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2937\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2938\u001b[0;31m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'astype'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2939\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2940\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mconvert\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, f, axes, filter, do_integrity_check, consolidate, raw, **kwargs)\u001b[0m\n\u001b[1;32m   2888\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2889\u001b[0m             \u001b[0mkwargs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'mgr'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2890\u001b[0;31m             \u001b[0mapplied\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2891\u001b[0m             \u001b[0mresult_blocks\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_extend_blocks\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mapplied\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mresult_blocks\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2892\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, raise_on_error, values, **kwargs)\u001b[0m\n\u001b[1;32m    432\u001b[0m                **kwargs):\n\u001b[1;32m    433\u001b[0m         return self._astype(dtype, copy=copy, raise_on_error=raise_on_error,\n\u001b[0;32m--> 434\u001b[0;31m                             values=values, **kwargs)\n\u001b[0m\u001b[1;32m    435\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    436\u001b[0m     def _astype(self, dtype, copy=False, raise_on_error=True, values=None,\n",
+      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36m_astype\u001b[0;34m(self, dtype, copy, raise_on_error, values, klass, mgr, **kwargs)\u001b[0m\n\u001b[1;32m    475\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    476\u001b[0m                 \u001b[1;31m# _astype_nansafe works fine with 1-d only\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 477\u001b[0;31m                 \u001b[0mvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_astype_nansafe\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    478\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    479\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\common.py\u001b[0m in \u001b[0;36m_astype_nansafe\u001b[0;34m(arr, dtype, copy)\u001b[0m\n\u001b[1;32m   1918\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1919\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1920\u001b[0;31m         \u001b[1;32mreturn\u001b[0m \u001b[0marr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1921\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0marr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mview\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1922\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: could not convert string to float: '3.MED ALGAE'"
+     ]
+    }
+   ],
+   "source": [
+    "lake_qual['result'] = lake_qual['result'].astype('float')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Ahh, ok there are a few non-numeric values. Let's replace them with numbers.**"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 47,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:15:30.745241",
+     "start_time": "2017-02-08T09:15:30.714737"
+    },
     "collapsed": true
    },
    "outputs": [],
    "source": [
+    "lake_qual['result'] = lake_qual['result'].astype('str').replace('3.MED ALGAE', '3').replace('3.FAIR', '3')\n",
     "lake_qual['result'] = lake_qual['result'].astype('float')"
    ]
   },
@@ -1516,15 +14208,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 48,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T08:01:40.812538",
-     "start_time": "2017-01-21T08:01:40.804534"
+     "end_time": "2017-02-08T09:15:30.777312",
+     "start_time": "2017-02-08T09:15:30.753250"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(984, 20)"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "lake_qual = lake_qual[lake_qual['sampleDate'].dt.year == 2014]\n",
     "lake_qual.shape"
@@ -1539,11 +14242,207 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 49,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:15:30.834207",
+     "start_time": "2017-02-08T09:15:30.789825"
+    },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>analysisDate</th>\n",
+       "      <th>collectingOrg</th>\n",
+       "      <th>comments</th>\n",
+       "      <th>county</th>\n",
+       "      <th>gtlt</th>\n",
+       "      <th>parameter</th>\n",
+       "      <th>result</th>\n",
+       "      <th>resultUnit</th>\n",
+       "      <th>sampleDate</th>\n",
+       "      <th>sampleTime</th>\n",
+       "      <th>sampleDepthUnit</th>\n",
+       "      <th>sampleFractionType</th>\n",
+       "      <th>sampleLowerDepth</th>\n",
+       "      <th>sampleType</th>\n",
+       "      <th>sampleUpperDepth</th>\n",
+       "      <th>stationId</th>\n",
+       "      <th>stationName</th>\n",
+       "      <th>statisticType</th>\n",
+       "      <th>testMethodId</th>\n",
+       "      <th>testMethodName</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2803</th>\n",
+       "      <td>1901-01-01</td>\n",
+       "      <td>Minneapolis Chain of Lakes Project</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Phosphorus as P</td>\n",
+       "      <td>0.022</td>\n",
+       "      <td>mg/L</td>\n",
+       "      <td>2014-06-25</td>\n",
+       "      <td>12:24:00</td>\n",
+       "      <td>m</td>\n",
+       "      <td>Total</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sample</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>27-0039-00-202</td>\n",
+       "      <td>CEDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4500-P-E</td>\n",
+       "      <td>Phosphorus in Water by Colorimetry- Ascorbic A...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2804</th>\n",
+       "      <td>1901-01-01</td>\n",
+       "      <td>Minneapolis Chain of Lakes Project</td>\n",
+       "      <td>Lab qualifier:  (&lt;)</td>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>&lt;</td>\n",
+       "      <td>Orthophosphate as P</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>mg/L</td>\n",
+       "      <td>2014-06-25</td>\n",
+       "      <td>12:24:00</td>\n",
+       "      <td>m</td>\n",
+       "      <td>Dissolved</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sample</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>27-0039-00-202</td>\n",
+       "      <td>CEDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4500-P-E</td>\n",
+       "      <td>Phosphorus in Water by Colorimetry- Ascorbic A...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2805</th>\n",
+       "      <td>1901-01-01</td>\n",
+       "      <td>Minneapolis Chain of Lakes Project</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Phosphorus as P</td>\n",
+       "      <td>0.058</td>\n",
+       "      <td>mg/L</td>\n",
+       "      <td>2014-06-25</td>\n",
+       "      <td>12:21:00</td>\n",
+       "      <td>m</td>\n",
+       "      <td>Total</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sample</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>27-0039-00-202</td>\n",
+       "      <td>CEDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4500-P-E</td>\n",
+       "      <td>Phosphorus in Water by Colorimetry- Ascorbic A...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2806</th>\n",
+       "      <td>1901-01-01</td>\n",
+       "      <td>Minneapolis Chain of Lakes Project</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Orthophosphate as P</td>\n",
+       "      <td>0.024</td>\n",
+       "      <td>mg/L</td>\n",
+       "      <td>2014-06-25</td>\n",
+       "      <td>12:21:00</td>\n",
+       "      <td>m</td>\n",
+       "      <td>Dissolved</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sample</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>27-0039-00-202</td>\n",
+       "      <td>CEDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4500-P-E</td>\n",
+       "      <td>Phosphorus in Water by Colorimetry- Ascorbic A...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2807</th>\n",
+       "      <td>1901-01-01</td>\n",
+       "      <td>Minneapolis Chain of Lakes Project</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Hennepin</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Phosphorus as P</td>\n",
+       "      <td>0.111</td>\n",
+       "      <td>mg/L</td>\n",
+       "      <td>2014-06-25</td>\n",
+       "      <td>12:20:00</td>\n",
+       "      <td>m</td>\n",
+       "      <td>Total</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Sample</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>27-0039-00-202</td>\n",
+       "      <td>CEDAR</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4500-P-E</td>\n",
+       "      <td>Phosphorus in Water by Colorimetry- Ascorbic A...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     analysisDate                       collectingOrg             comments  \\\n",
+       "2803   1901-01-01  Minneapolis Chain of Lakes Project                  NaN   \n",
+       "2804   1901-01-01  Minneapolis Chain of Lakes Project  Lab qualifier:  (<)   \n",
+       "2805   1901-01-01  Minneapolis Chain of Lakes Project                  NaN   \n",
+       "2806   1901-01-01  Minneapolis Chain of Lakes Project                  NaN   \n",
+       "2807   1901-01-01  Minneapolis Chain of Lakes Project                  NaN   \n",
+       "\n",
+       "        county gtlt            parameter  result resultUnit sampleDate  \\\n",
+       "2803  Hennepin  NaN      Phosphorus as P   0.022       mg/L 2014-06-25   \n",
+       "2804  Hennepin   <   Orthophosphate as P   0.003       mg/L 2014-06-25   \n",
+       "2805  Hennepin  NaN      Phosphorus as P   0.058       mg/L 2014-06-25   \n",
+       "2806  Hennepin  NaN  Orthophosphate as P   0.024       mg/L 2014-06-25   \n",
+       "2807  Hennepin  NaN      Phosphorus as P   0.111       mg/L 2014-06-25   \n",
+       "\n",
+       "     sampleTime sampleDepthUnit sampleFractionType  sampleLowerDepth  \\\n",
+       "2803   12:24:00               m              Total               NaN   \n",
+       "2804   12:24:00               m          Dissolved               NaN   \n",
+       "2805   12:21:00               m              Total               NaN   \n",
+       "2806   12:21:00               m          Dissolved               NaN   \n",
+       "2807   12:20:00               m              Total               NaN   \n",
+       "\n",
+       "     sampleType  sampleUpperDepth       stationId stationName statisticType  \\\n",
+       "2803     Sample               5.0  27-0039-00-202       CEDAR           NaN   \n",
+       "2804     Sample               5.0  27-0039-00-202       CEDAR           NaN   \n",
+       "2805     Sample              10.0  27-0039-00-202       CEDAR           NaN   \n",
+       "2806     Sample              10.0  27-0039-00-202       CEDAR           NaN   \n",
+       "2807     Sample              14.0  27-0039-00-202       CEDAR           NaN   \n",
+       "\n",
+       "     testMethodId                                     testMethodName  \n",
+       "2803     4500-P-E  Phosphorus in Water by Colorimetry- Ascorbic A...  \n",
+       "2804     4500-P-E  Phosphorus in Water by Colorimetry- Ascorbic A...  \n",
+       "2805     4500-P-E  Phosphorus in Water by Colorimetry- Ascorbic A...  \n",
+       "2806     4500-P-E  Phosphorus in Water by Colorimetry- Ascorbic A...  \n",
+       "2807     4500-P-E  Phosphorus in Water by Colorimetry- Ascorbic A...  "
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "lake_qual.head()"
    ]
@@ -1557,11 +14456,238 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 50,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:15:30.905264",
+     "start_time": "2017-02-08T09:15:30.836713"
+    },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>parameter</th>\n",
+       "      <th>Alkalinity, total as CaCO3</th>\n",
+       "      <th>Chloride</th>\n",
+       "      <th>Chlorophyll a, corrected for pheophytin</th>\n",
+       "      <th>Depth, Secchi disk depth</th>\n",
+       "      <th>Dissolved oxygen (DO)</th>\n",
+       "      <th>Hardness, carbonate as CaCO3</th>\n",
+       "      <th>Inorganic nitrogen (nitrate and nitrite) as N</th>\n",
+       "      <th>Kjeldahl nitrogen as N</th>\n",
+       "      <th>Nutrient-nitrogen as N</th>\n",
+       "      <th>Orthophosphate as P</th>\n",
+       "      <th>Pheophytin a</th>\n",
+       "      <th>Phosphorus as P</th>\n",
+       "      <th>Silica as SiO2</th>\n",
+       "      <th>Specific conductance</th>\n",
+       "      <th>Sulfate as SO4</th>\n",
+       "      <th>Temperature, water</th>\n",
+       "      <th>pH</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sampleDate</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>2014-03-12</th>\n",
+       "      <td>134.0</td>\n",
+       "      <td>133.5</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.215333</td>\n",
+       "      <td>164.0</td>\n",
+       "      <td>0.577</td>\n",
+       "      <td>1.37</td>\n",
+       "      <td>0.792</td>\n",
+       "      <td>0.03850</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.17100</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>750.846667</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.940000</td>\n",
+       "      <td>7.206667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-05-05</th>\n",
+       "      <td>122.0</td>\n",
+       "      <td>162.0</td>\n",
+       "      <td>5.47</td>\n",
+       "      <td>1.41</td>\n",
+       "      <td>7.363529</td>\n",
+       "      <td>152.0</td>\n",
+       "      <td>0.144</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.180</td>\n",
+       "      <td>0.00950</td>\n",
+       "      <td>5.10</td>\n",
+       "      <td>0.05725</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>691.841176</td>\n",
+       "      <td>8.8</td>\n",
+       "      <td>6.543529</td>\n",
+       "      <td>7.844706</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-05-20</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>140.5</td>\n",
+       "      <td>3.30</td>\n",
+       "      <td>1.10</td>\n",
+       "      <td>6.518125</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.964</td>\n",
+       "      <td>0.00525</td>\n",
+       "      <td>1.23</td>\n",
+       "      <td>0.05425</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>711.987500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.570000</td>\n",
+       "      <td>7.993125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-06-11</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>141.5</td>\n",
+       "      <td>2.40</td>\n",
+       "      <td>3.85</td>\n",
+       "      <td>3.059412</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.855</td>\n",
+       "      <td>0.01500</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.05200</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>717.082353</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10.798235</td>\n",
+       "      <td>7.157647</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2014-06-25</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>118.0</td>\n",
+       "      <td>8.20</td>\n",
+       "      <td>2.17</td>\n",
+       "      <td>3.078235</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.657</td>\n",
+       "      <td>0.01925</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>0.05475</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>696.905882</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>11.915294</td>\n",
+       "      <td>7.592353</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "parameter   Alkalinity, total as CaCO3  Chloride  \\\n",
+       "sampleDate                                         \n",
+       "2014-03-12                       134.0     133.5   \n",
+       "2014-05-05                       122.0     162.0   \n",
+       "2014-05-20                         NaN     140.5   \n",
+       "2014-06-11                         NaN     141.5   \n",
+       "2014-06-25                         NaN     118.0   \n",
+       "\n",
+       "parameter   Chlorophyll a, corrected for pheophytin  Depth, Secchi disk depth  \\\n",
+       "sampleDate                                                                      \n",
+       "2014-03-12                                     0.50                       NaN   \n",
+       "2014-05-05                                     5.47                      1.41   \n",
+       "2014-05-20                                     3.30                      1.10   \n",
+       "2014-06-11                                     2.40                      3.85   \n",
+       "2014-06-25                                     8.20                      2.17   \n",
+       "\n",
+       "parameter   Dissolved oxygen (DO)  Hardness, carbonate as CaCO3  \\\n",
+       "sampleDate                                                        \n",
+       "2014-03-12               2.215333                         164.0   \n",
+       "2014-05-05               7.363529                         152.0   \n",
+       "2014-05-20               6.518125                           NaN   \n",
+       "2014-06-11               3.059412                           NaN   \n",
+       "2014-06-25               3.078235                           NaN   \n",
+       "\n",
+       "parameter   Inorganic nitrogen (nitrate and nitrite) as N  \\\n",
+       "sampleDate                                                  \n",
+       "2014-03-12                                          0.577   \n",
+       "2014-05-05                                          0.144   \n",
+       "2014-05-20                                            NaN   \n",
+       "2014-06-11                                            NaN   \n",
+       "2014-06-25                                            NaN   \n",
+       "\n",
+       "parameter   Kjeldahl nitrogen as N  Nutrient-nitrogen as N  \\\n",
+       "sampleDate                                                   \n",
+       "2014-03-12                    1.37                   0.792   \n",
+       "2014-05-05                    1.00                   1.180   \n",
+       "2014-05-20                     NaN                   0.964   \n",
+       "2014-06-11                     NaN                   0.855   \n",
+       "2014-06-25                     NaN                   0.657   \n",
+       "\n",
+       "parameter   Orthophosphate as P  Pheophytin a  Phosphorus as P  \\\n",
+       "sampleDate                                                       \n",
+       "2014-03-12              0.03850          0.50          0.17100   \n",
+       "2014-05-05              0.00950          5.10          0.05725   \n",
+       "2014-05-20              0.00525          1.23          0.05425   \n",
+       "2014-06-11              0.01500          0.50          0.05200   \n",
+       "2014-06-25              0.01925          0.83          0.05475   \n",
+       "\n",
+       "parameter   Silica as SiO2  Specific conductance  Sulfate as SO4  \\\n",
+       "sampleDate                                                         \n",
+       "2014-03-12            1.28            750.846667             NaN   \n",
+       "2014-05-05            0.50            691.841176             8.8   \n",
+       "2014-05-20             NaN            711.987500             NaN   \n",
+       "2014-06-11            0.50            717.082353             NaN   \n",
+       "2014-06-25             NaN            696.905882             NaN   \n",
+       "\n",
+       "parameter   Temperature, water        pH  \n",
+       "sampleDate                                \n",
+       "2014-03-12            2.940000  7.206667  \n",
+       "2014-05-05            6.543529  7.844706  \n",
+       "2014-05-20            8.570000  7.993125  \n",
+       "2014-06-11           10.798235  7.157647  \n",
+       "2014-06-25           11.915294  7.592353  "
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "lake_qual_pivot = lake_qual.pivot_table(values='result', index='sampleDate', columns='parameter')\n",
     "lake_qual_pivot.head()"
@@ -1576,8 +14702,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 51,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:15:31.867779",
+     "start_time": "2017-02-08T09:15:30.907766"
+    },
     "collapsed": true
    },
    "outputs": [],
@@ -1595,8 +14725,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:15:31.911809",
+     "start_time": "2017-02-08T09:15:31.871781"
+    },
     "collapsed": true
    },
    "outputs": [],
@@ -1606,15 +14740,209 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 53,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:39.990863",
-     "start_time": "2017-01-21T09:26:39.906491"
+     "end_time": "2017-02-08T09:15:32.008785",
+     "start_time": "2017-02-08T09:15:31.916312"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>PIN</th>\n",
+       "      <th>ACRES_DEED</th>\n",
+       "      <th>ACRES_POLY</th>\n",
+       "      <th>AG_PRESERV</th>\n",
+       "      <th>BASEMENT</th>\n",
+       "      <th>BLDG_NUM</th>\n",
+       "      <th>BLOCK</th>\n",
+       "      <th>CITY</th>\n",
+       "      <th>CITY_USPS</th>\n",
+       "      <th>COOLING</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Orthophosphate as P</th>\n",
+       "      <th>Pheophytin a</th>\n",
+       "      <th>Phosphorus as P</th>\n",
+       "      <th>Silica as SiO2</th>\n",
+       "      <th>Specific conductance</th>\n",
+       "      <th>Sulfate as SO4</th>\n",
+       "      <th>Temperature, water</th>\n",
+       "      <th>pH</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>053-2902924330011</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1944</td>\n",
+       "      <td>003</td>\n",
+       "      <td>MINNEAPOLIS</td>\n",
+       "      <td>MINNEAPOLIS</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.03850</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.17100</td>\n",
+       "      <td>1.28</td>\n",
+       "      <td>750.846667</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2.940000</td>\n",
+       "      <td>7.206667</td>\n",
+       "      <td>44.961482</td>\n",
+       "      <td>-93.32013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>053-2902924330011</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1944</td>\n",
+       "      <td>003</td>\n",
+       "      <td>MINNEAPOLIS</td>\n",
+       "      <td>MINNEAPOLIS</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.00950</td>\n",
+       "      <td>5.10</td>\n",
+       "      <td>0.05725</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>691.841176</td>\n",
+       "      <td>8.8</td>\n",
+       "      <td>6.543529</td>\n",
+       "      <td>7.844706</td>\n",
+       "      <td>44.961482</td>\n",
+       "      <td>-93.32013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>053-2902924330011</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1944</td>\n",
+       "      <td>003</td>\n",
+       "      <td>MINNEAPOLIS</td>\n",
+       "      <td>MINNEAPOLIS</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.00525</td>\n",
+       "      <td>1.23</td>\n",
+       "      <td>0.05425</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>711.987500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>8.570000</td>\n",
+       "      <td>7.993125</td>\n",
+       "      <td>44.961482</td>\n",
+       "      <td>-93.32013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>053-2902924330011</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1944</td>\n",
+       "      <td>003</td>\n",
+       "      <td>MINNEAPOLIS</td>\n",
+       "      <td>MINNEAPOLIS</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.01500</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.05200</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>717.082353</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10.798235</td>\n",
+       "      <td>7.157647</td>\n",
+       "      <td>44.961482</td>\n",
+       "      <td>-93.32013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>053-2902924330011</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.15</td>\n",
+       "      <td>N</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1944</td>\n",
+       "      <td>003</td>\n",
+       "      <td>MINNEAPOLIS</td>\n",
+       "      <td>MINNEAPOLIS</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.01925</td>\n",
+       "      <td>0.83</td>\n",
+       "      <td>0.05475</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>696.905882</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>11.915294</td>\n",
+       "      <td>7.592353</td>\n",
+       "      <td>44.961482</td>\n",
+       "      <td>-93.32013</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 68 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 PIN  ACRES_DEED  ACRES_POLY AG_PRESERV BASEMENT BLDG_NUM  \\\n",
+       "0  053-2902924330011         0.0        0.15          N      NaN     1944   \n",
+       "1  053-2902924330011         0.0        0.15          N      NaN     1944   \n",
+       "2  053-2902924330011         0.0        0.15          N      NaN     1944   \n",
+       "3  053-2902924330011         0.0        0.15          N      NaN     1944   \n",
+       "4  053-2902924330011         0.0        0.15          N      NaN     1944   \n",
+       "\n",
+       "  BLOCK         CITY    CITY_USPS COOLING    ...     Orthophosphate as P  \\\n",
+       "0   003  MINNEAPOLIS  MINNEAPOLIS     NaN    ...                 0.03850   \n",
+       "1   003  MINNEAPOLIS  MINNEAPOLIS     NaN    ...                 0.00950   \n",
+       "2   003  MINNEAPOLIS  MINNEAPOLIS     NaN    ...                 0.00525   \n",
+       "3   003  MINNEAPOLIS  MINNEAPOLIS     NaN    ...                 0.01500   \n",
+       "4   003  MINNEAPOLIS  MINNEAPOLIS     NaN    ...                 0.01925   \n",
+       "\n",
+       "   Pheophytin a  Phosphorus as P  Silica as SiO2 Specific conductance  \\\n",
+       "0          0.50          0.17100            1.28           750.846667   \n",
+       "1          5.10          0.05725            0.50           691.841176   \n",
+       "2          1.23          0.05425             NaN           711.987500   \n",
+       "3          0.50          0.05200            0.50           717.082353   \n",
+       "4          0.83          0.05475             NaN           696.905882   \n",
+       "\n",
+       "  Sulfate as SO4 Temperature, water        pH   latitude longitude  \n",
+       "0            NaN           2.940000  7.206667  44.961482 -93.32013  \n",
+       "1            8.8           6.543529  7.844706  44.961482 -93.32013  \n",
+       "2            NaN           8.570000  7.993125  44.961482 -93.32013  \n",
+       "3            NaN          10.798235  7.157647  44.961482 -93.32013  \n",
+       "4            NaN          11.915294  7.592353  44.961482 -93.32013  \n",
+       "\n",
+       "[5 rows x 68 columns]"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result = cedar_lake_parcels.reset_index().merge(lake_qual_pivot, on='LAKE_NAME')\n",
     "result.head()"
@@ -1631,26 +14959,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 54,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:39.997870",
-     "start_time": "2017-01-21T09:26:39.992864"
+     "end_time": "2017-02-08T09:15:32.019293",
+     "start_time": "2017-02-08T09:15:32.012288"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2496, 68)"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 55,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:40.074419",
-     "start_time": "2017-01-21T09:26:40.000369"
+     "end_time": "2017-02-08T09:15:32.073330",
+     "start_time": "2017-02-08T09:15:32.022796"
     },
     "collapsed": true
    },
@@ -1661,15 +15000,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 56,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:40.095938",
-     "start_time": "2017-01-21T09:26:40.076920"
+     "end_time": "2017-02-08T09:15:32.104352",
+     "start_time": "2017-02-08T09:15:32.078834"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2496, 60)"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result.shape"
    ]
@@ -1692,15 +15042,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 57,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:41.098745",
-     "start_time": "2017-01-21T09:26:40.098439"
+     "end_time": "2017-02-08T09:15:32.492666",
+     "start_time": "2017-02-08T09:15:32.107354"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    POINT (474420.2918534343 4978995.538410055)\n",
+       "1    POINT (474420.2918534343 4978995.538410055)\n",
+       "2    POINT (474420.2918534343 4978995.538410055)\n",
+       "3    POINT (474420.2918534343 4978995.538410055)\n",
+       "4    POINT (474420.2918534343 4978995.538410055)\n",
+       "Name: Parcel_Centroid, dtype: object"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result['Parcel_Centroid'] = result.centroid\n",
     "result['Parcel_Centroid'].head()"
@@ -1719,15 +15085,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 58,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:41.106732",
-     "start_time": "2017-01-21T09:26:41.100728"
+     "end_time": "2017-02-08T09:15:32.502179",
+     "start_time": "2017-02-08T09:15:32.495168"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'init': 'epsg:26915'}"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# what is the starting projection\n",
     "result.crs"
@@ -1742,11 +15119,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 59,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:41.911762",
-     "start_time": "2017-01-21T09:26:41.109234"
+     "end_time": "2017-02-08T09:15:32.985098",
+     "start_time": "2017-02-08T09:15:32.505682"
     },
     "collapsed": true
    },
@@ -1757,15 +15134,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 60,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:41.986784",
-     "start_time": "2017-01-21T09:26:41.913727"
+     "end_time": "2017-02-08T09:15:33.031501",
+     "start_time": "2017-02-08T09:15:32.988090"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    POINT (-93.324349184036 44.96393792859692)\n",
+       "1    POINT (-93.324349184036 44.96393792859692)\n",
+       "2    POINT (-93.324349184036 44.96393792859692)\n",
+       "3    POINT (-93.324349184036 44.96393792859692)\n",
+       "4    POINT (-93.324349184036 44.96393792859692)\n",
+       "Name: Parcel_Centroid, dtype: object"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result['Parcel_Centroid'] = result.centroid\n",
     "result['Parcel_Centroid'].head()"
@@ -1782,11 +15175,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 61,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2017-02-08T09:15:33.135459",
+     "start_time": "2017-02-08T09:15:33.034486"
+    },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    (44.96393792859692, -93.324349184036)\n",
+       "1    (44.96393792859692, -93.324349184036)\n",
+       "2    (44.96393792859692, -93.324349184036)\n",
+       "3    (44.96393792859692, -93.324349184036)\n",
+       "4    (44.96393792859692, -93.324349184036)\n",
+       "Name: Parcel_Centroid, dtype: object"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "result['Parcel_Centroid'] = result['Parcel_Centroid'].apply(lambda p: tuple([p.y, p.x]))\n",
     "result['Parcel_Centroid'].head()"
@@ -1803,15 +15216,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 62,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:42.172443",
-     "start_time": "2017-01-21T09:26:42.043845"
+     "end_time": "2017-02-08T09:15:33.158936",
+     "start_time": "2017-02-08T09:15:33.137963"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    (44.961482, -93.32013)\n",
+       "1    (44.961482, -93.32013)\n",
+       "2    (44.961482, -93.32013)\n",
+       "3    (44.961482, -93.32013)\n",
+       "4    (44.961482, -93.32013)\n",
+       "Name: station_coords, dtype: object"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from shapely.geometry import Point\n",
     "\n",
@@ -1834,15 +15263,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 63,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:42.845942",
-     "start_time": "2017-01-21T09:26:42.174445"
+     "end_time": "2017-02-08T09:15:33.829523",
+     "start_time": "2017-02-08T09:15:33.160937"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    0.430469\n",
+       "1    0.430469\n",
+       "2    0.430469\n",
+       "3    0.430469\n",
+       "4    0.430469\n",
+       "Name: dist_to_station, dtype: float64"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from geopy.distance import vincenty\n",
     "\n",
@@ -1864,15 +15309,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 64,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:26:42.898112",
-     "start_time": "2017-01-21T09:26:42.847929"
+     "end_time": "2017-02-08T09:15:33.847562",
+     "start_time": "2017-02-08T09:15:33.833527"
     },
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(2496, 61)"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# group by the PIN key, which would be duplicated for each station and take the minimum\n",
     "def get_min_rows(df, grpby, aggcol):\n",
@@ -1894,11 +15350,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 65,
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2017-01-21T09:34:20.731031",
-     "start_time": "2017-01-21T09:34:20.178435"
+     "end_time": "2017-02-08T09:15:38.922414",
+     "start_time": "2017-02-08T09:15:33.851547"
     },
     "collapsed": false
    },

From 87513c5c293dbd9a124d464274fd306dcc42df02 Mon Sep 17 00:00:00 2001
From: dreyco676 <dreyco676@gmail.com>
Date: Wed, 8 Feb 2017 09:19:18 -0600
Subject: [PATCH 2/4] removed idea files

---
 .idea/vcs.xml | 6 ------
 1 file changed, 6 deletions(-)
 delete mode 100644 .idea/vcs.xml

diff --git a/.idea/vcs.xml b/.idea/vcs.xml
deleted file mode 100644
index 94a25f7..0000000
--- a/.idea/vcs.xml
+++ /dev/null
@@ -1,6 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="VcsDirectoryMappings">
-    <mapping directory="$PROJECT_DIR$" vcs="Git" />
-  </component>
-</project>
\ No newline at end of file

From b16871d09a4c8a4926ba14981883a616ec58de66 Mon Sep 17 00:00:00 2001
From: John Hogue <dreyco676@gmail.com>
Date: Wed, 8 Feb 2017 18:44:37 -0600
Subject: [PATCH 3/4] cleared output

---
 Intro to Geospatial Data with Python.ipynb | 13596 +------------------
 1 file changed, 105 insertions(+), 13491 deletions(-)

diff --git a/Intro to Geospatial Data with Python.ipynb b/Intro to Geospatial Data with Python.ipynb
index 8008122..fed35ee 100644
--- a/Intro to Geospatial Data with Python.ipynb	
+++ b/Intro to Geospatial Data with Python.ipynb	
@@ -328,7 +328,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:09:49.226515",
@@ -383,7 +383,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:11:33.979172",
@@ -411,7 +411,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:11:34.385765",
@@ -436,7 +436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:11:36.261747",
@@ -444,89 +444,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
-      "RangeIndex: 427762 entries, 0 to 427761\n",
-      "Data columns (total 70 columns):\n",
-      "ACRES_DEED    427762 non-null float64\n",
-      "ACRES_POLY    427762 non-null float64\n",
-      "AGPRE_ENRD    0 non-null object\n",
-      "AGPRE_EXPD    0 non-null object\n",
-      "AG_PRESERV    427762 non-null object\n",
-      "BASEMENT      111420 non-null object\n",
-      "BLDG_NUM      427762 non-null object\n",
-      "BLOCK         305269 non-null object\n",
-      "CITY          427762 non-null object\n",
-      "CITY_USPS     414475 non-null object\n",
-      "COOLING       157514 non-null object\n",
-      "COUNTY_ID     427762 non-null object\n",
-      "DWELL_TYPE    0 non-null object\n",
-      "EMV_BLDG      427762 non-null float64\n",
-      "EMV_LAND      427762 non-null float64\n",
-      "EMV_TOTAL     427762 non-null float64\n",
-      "FIN_SQ_FT     427762 non-null float64\n",
-      "GARAGE        157514 non-null object\n",
-      "GARAGESQFT    157514 non-null object\n",
-      "GREEN_ACRE    427762 non-null object\n",
-      "HEATING       156532 non-null object\n",
-      "HOMESTEAD     426337 non-null object\n",
-      "HOME_STYLE    152400 non-null object\n",
-      "LANDMARK      0 non-null object\n",
-      "LOT           290705 non-null object\n",
-      "MULTI_USES    0 non-null object\n",
-      "NUM_UNITS     0 non-null object\n",
-      "OPEN_SPACE    427762 non-null object\n",
-      "OWNER_MORE    0 non-null object\n",
-      "OWNER_NAME    426336 non-null object\n",
-      "OWN_ADD_L1    0 non-null object\n",
-      "OWN_ADD_L2    0 non-null object\n",
-      "OWN_ADD_L3    0 non-null object\n",
-      "PARC_CODE     427762 non-null int64\n",
-      "PIN           427762 non-null object\n",
-      "PLAT_NAME     426333 non-null object\n",
-      "PREFIXTYPE    0 non-null object\n",
-      "PREFIX_DIR    0 non-null object\n",
-      "SALE_DATE     331140 non-null object\n",
-      "SALE_VALUE    427762 non-null float64\n",
-      "SCHOOL_DST    426337 non-null object\n",
-      "SPEC_ASSES    427762 non-null float64\n",
-      "STREETNAME    427762 non-null object\n",
-      "STREETTYPE    0 non-null object\n",
-      "SUFFIX_DIR    0 non-null object\n",
-      "Shape_Area    427762 non-null float64\n",
-      "Shape_Le_1    427762 non-null float64\n",
-      "Shape_Leng    427762 non-null float64\n",
-      "TAX_ADD_L1    426189 non-null object\n",
-      "TAX_ADD_L2    426071 non-null object\n",
-      "TAX_ADD_L3    62165 non-null object\n",
-      "TAX_CAPAC     427762 non-null float64\n",
-      "TAX_EXEMPT    427762 non-null object\n",
-      "TAX_NAME      426337 non-null object\n",
-      "TORRENS       427762 non-null object\n",
-      "TOTAL_TAX     427762 non-null float64\n",
-      "UNIT_INFO     51470 non-null object\n",
-      "USE1_DESC     426337 non-null object\n",
-      "USE2_DESC     4398 non-null object\n",
-      "USE3_DESC     752 non-null object\n",
-      "USE4_DESC     207 non-null object\n",
-      "WSHD_DIST     350447 non-null object\n",
-      "XUSE1_DESC    17641 non-null object\n",
-      "XUSE2_DESC    1341 non-null object\n",
-      "XUSE3_DESC    250 non-null object\n",
-      "XUSE4_DESC    36 non-null object\n",
-      "YEAR_BUILT    427762 non-null int64\n",
-      "ZIP           427762 non-null object\n",
-      "ZIP4          0 non-null object\n",
-      "geometry      427762 non-null object\n",
-      "dtypes: float64(13), int64(2), object(55)\n",
-      "memory usage: 228.4+ MB\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "hennepin.info()"
    ]
@@ -558,7 +476,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:11:36.649840",
@@ -566,18 +484,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1.0"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "hennepin['PIN'].nunique(dropna=True) / len(hennepin['PIN'])"
    ]
@@ -597,7 +504,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:11:38.683278",
@@ -623,7 +530,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:11:38.718311",
@@ -631,18 +538,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "['N', 'Y']"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "list(hennepin['GREEN_ACRE'].unique())"
    ]
@@ -658,7 +554,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:11:39.455386",
@@ -666,18 +562,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "54"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "column_list = list(hennepin.select_dtypes(include=['object']).columns.values)\n",
     "# how many are there?\n",
@@ -695,7 +580,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:11:39.465393",
@@ -719,7 +604,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:12:00.234756",
@@ -727,23 +612,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "unhashable type: 'Polygon'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-10-8a146442be0b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mhennepin\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mconvert_to_categorical\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhennepin\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumn_list\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m<ipython-input-9-a918ea306573>\u001b[0m in \u001b[0;36mconvert_to_categorical\u001b[0;34m(df, cols)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0mcol\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mcols\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m         \u001b[1;31m# get number of unique values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0munique_vals\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcol\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m         \u001b[1;31m# calculate the ratio of unique values to total number of rows\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0munique_ratio\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0munique_vals\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\base.py\u001b[0m in \u001b[0;36munique\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    962\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    963\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 964\u001b[0;31m         \u001b[1;32mreturn\u001b[0m \u001b[0munique1d\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    965\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    966\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mnunique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdropna\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\nanops.py\u001b[0m in \u001b[0;36munique1d\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m    794\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    795\u001b[0m         \u001b[0mtable\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_hash\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mPyObjectHashTable\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 796\u001b[0;31m         \u001b[0muniques\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtable\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munique\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_ensure_object\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    797\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0muniques\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mpandas\\hashtable.pyx\u001b[0m in \u001b[0;36mpandas.hashtable.PyObjectHashTable.unique (pandas\\hashtable.c:13585)\u001b[0;34m()\u001b[0m\n",
-      "\u001b[0;31mTypeError\u001b[0m: unhashable type: 'Polygon'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "hennepin = convert_to_categorical(hennepin, column_list)"
    ]
@@ -759,7 +628,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:12:52.733292",
@@ -785,7 +654,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:12:54.449323",
@@ -793,88 +662,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
-      "Index: 427762 entries, 053-0102724110003 to 053-3612123410019\n",
-      "Data columns (total 69 columns):\n",
-      "ACRES_DEED    427762 non-null float64\n",
-      "ACRES_POLY    427762 non-null float64\n",
-      "AGPRE_ENRD    0 non-null category\n",
-      "AGPRE_EXPD    0 non-null category\n",
-      "AG_PRESERV    427762 non-null category\n",
-      "BASEMENT      111420 non-null category\n",
-      "BLDG_NUM      427762 non-null category\n",
-      "BLOCK         305269 non-null category\n",
-      "CITY          427762 non-null category\n",
-      "CITY_USPS     414475 non-null category\n",
-      "COOLING       157514 non-null category\n",
-      "COUNTY_ID     427762 non-null category\n",
-      "DWELL_TYPE    0 non-null category\n",
-      "EMV_BLDG      427762 non-null float64\n",
-      "EMV_LAND      427762 non-null float64\n",
-      "EMV_TOTAL     427762 non-null float64\n",
-      "FIN_SQ_FT     427762 non-null float64\n",
-      "GARAGE        157514 non-null category\n",
-      "GARAGESQFT    157514 non-null category\n",
-      "GREEN_ACRE    427762 non-null category\n",
-      "HEATING       156532 non-null category\n",
-      "HOMESTEAD     426337 non-null category\n",
-      "HOME_STYLE    152400 non-null category\n",
-      "LANDMARK      0 non-null category\n",
-      "LOT           290705 non-null category\n",
-      "MULTI_USES    0 non-null category\n",
-      "NUM_UNITS     0 non-null category\n",
-      "OPEN_SPACE    427762 non-null category\n",
-      "OWNER_MORE    0 non-null category\n",
-      "OWNER_NAME    426336 non-null object\n",
-      "OWN_ADD_L1    0 non-null category\n",
-      "OWN_ADD_L2    0 non-null category\n",
-      "OWN_ADD_L3    0 non-null category\n",
-      "PARC_CODE     427762 non-null int64\n",
-      "PLAT_NAME     426333 non-null category\n",
-      "PREFIXTYPE    0 non-null category\n",
-      "PREFIX_DIR    0 non-null category\n",
-      "SALE_DATE     331140 non-null category\n",
-      "SALE_VALUE    427762 non-null float64\n",
-      "SCHOOL_DST    426337 non-null category\n",
-      "SPEC_ASSES    427762 non-null float64\n",
-      "STREETNAME    427762 non-null category\n",
-      "STREETTYPE    0 non-null category\n",
-      "SUFFIX_DIR    0 non-null category\n",
-      "Shape_Area    427762 non-null float64\n",
-      "Shape_Le_1    427762 non-null float64\n",
-      "Shape_Leng    427762 non-null float64\n",
-      "TAX_ADD_L1    426189 non-null object\n",
-      "TAX_ADD_L2    426071 non-null category\n",
-      "TAX_ADD_L3    62165 non-null category\n",
-      "TAX_CAPAC     427762 non-null float64\n",
-      "TAX_EXEMPT    427762 non-null category\n",
-      "TAX_NAME      426337 non-null object\n",
-      "TORRENS       427762 non-null category\n",
-      "TOTAL_TAX     427762 non-null float64\n",
-      "UNIT_INFO     51470 non-null category\n",
-      "USE1_DESC     426337 non-null category\n",
-      "USE2_DESC     4398 non-null category\n",
-      "USE3_DESC     752 non-null category\n",
-      "USE4_DESC     207 non-null category\n",
-      "WSHD_DIST     350447 non-null category\n",
-      "XUSE1_DESC    17641 non-null category\n",
-      "XUSE2_DESC    1341 non-null category\n",
-      "XUSE3_DESC    250 non-null category\n",
-      "XUSE4_DESC    36 non-null category\n",
-      "YEAR_BUILT    427762 non-null int64\n",
-      "ZIP           427762 non-null category\n",
-      "ZIP4          0 non-null category\n",
-      "geometry      427762 non-null object\n",
-      "dtypes: category(50), float64(13), int64(2), object(4)\n",
-      "memory usage: 91.4+ MB\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "hennepin.info()"
    ]
@@ -898,7 +686,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:09.573381",
@@ -907,9261 +695,7 @@
     "collapsed": false,
     "scrolled": true
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Anaconda3\\lib\\site-packages\\matplotlib\\__init__.py:1357: UserWarning:  This call to matplotlib.use() has no effect\n",
-      "because the backend has already been chosen;\n",
-      "matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
-      "or matplotlib.backends is imported for the first time.\n",
-      "\n",
-      "  warnings.warn(_use_error_msg)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<meta charset=\"UTF-8\">\n",
-       "\n",
-       "<style>\n",
-       "\n",
-       "        .variablerow {\n",
-       "            border: 1px solid #e1e1e8;\n",
-       "            border-top: hidden;\n",
-       "            padding-top: 2em;\n",
-       "            padding-bottom: 2em;\n",
-       "            padding-left: 1em;\n",
-       "            padding-right: 1em;\n",
-       "        }\n",
-       "\n",
-       "        .headerrow {\n",
-       "            border: 1px solid #e1e1e8;\n",
-       "            background-color: #f5f5f5;\n",
-       "            padding: 2em;\n",
-       "        }\n",
-       "        .namecol {\n",
-       "            margin-top: -1em;\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",
-       "        .ignore {\n",
-       "            opacity: 0.4;\n",
-       "        }\n",
-       "\n",
-       "        .container.pandas-profiling {\n",
-       "            max-width:975px;\n",
-       "        }\n",
-       "\n",
-       "        .col-md-12 {\n",
-       "            padding-left: 2em;\n",
-       "        }\n",
-       "\n",
-       "        .indent {\n",
-       "            margin-left: 1em;\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",
-       "        /* STATS */\n",
-       "            table.stats {\n",
-       "                border: 0;\n",
-       "            }\n",
-       "\n",
-       "            .stats th {\n",
-       "                border: 0;\n",
-       "                padding: 0 2em 0 0;\n",
-       "                color: #555;\n",
-       "                font-weight: 600;\n",
-       "            }\n",
-       "\n",
-       "            .stats tr {\n",
-       "                border: 0;\n",
-       "            }\n",
-       "\n",
-       "            .stats tr:hover{\n",
-       "                text-decoration: underline;\n",
-       "            }\n",
-       "\n",
-       "            .stats td{\n",
-       "                color: #555;\n",
-       "                padding: 1px;\n",
-       "                border: 0;\n",
-       "            }\n",
-       "\n",
-       "\n",
-       "        /* Sample table */\n",
-       "            table.sample {\n",
-       "                border: 0;\n",
-       "                margin-bottom: 2em;\n",
-       "                margin-left:1em;\n",
-       "            }\n",
-       "            .sample tr {\n",
-       "                border:0;\n",
-       "            }\n",
-       "            .sample td, .sample th{\n",
-       "                padding: 0.5em;\n",
-       "                white-space: nowrap;\n",
-       "                border: none;\n",
-       "\n",
-       "            }\n",
-       "\n",
-       "            .sample thead {\n",
-       "                border-top: 0;\n",
-       "                border-bottom: 2px solid #ddd;\n",
-       "            }\n",
-       "\n",
-       "            .sample 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",
-       "        /* Freq table */\n",
-       "\n",
-       "            table.freq {\n",
-       "                margin-bottom: 2em;\n",
-       "                border: 0;\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",
-       "            td.fillremaining{\n",
-       "                width:auto;\n",
-       "                max-width: none;\n",
-       "            }\n",
-       "\n",
-       "            td.number, th.number {\n",
-       "                text-align:right ;\n",
-       "            }\n",
-       "\n",
-       "        /* Freq mini */\n",
-       "            .freq.mini td{\n",
-       "                width: 50%;\n",
-       "                padding: 1px;\n",
-       "                font-size: 12px;\n",
-       "\n",
-       "            }\n",
-       "            table.freq.mini {\n",
-       "                 width:100%;\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",
-       "            .missing {\n",
-       "                color: #a94442;\n",
-       "            }\n",
-       "            .alert, .alert > th, .alert > td {\n",
-       "                color: #a94442;\n",
-       "            }\n",
-       "\n",
-       "\n",
-       "        /* Bars in tables */\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",
-       "            .other .bar {\n",
-       "                background-color: #999;\n",
-       "            }\n",
-       "            .missing .bar{\n",
-       "                background-color: #a94442;\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",
-       "</style>\n",
-       "\n",
-       "<div class=\"container pandas-profiling\">\n",
-       "    <div class=\"row headerrow highlight\">\n",
-       "        <h1>Overview</h1>\n",
-       "    </div>\n",
-       "    <div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-6 namecol\">\n",
-       "        <p class=\"h4\">Dataset info</p>\n",
-       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
-       "            <tbody>\n",
-       "            <tr>\n",
-       "                <th>Number of variables</th>\n",
-       "                <td>66 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Number of observations</th>\n",
-       "                <td>427762 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Total Missing (%)</th>\n",
-       "                <td>43.4% </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Total size in memory</th>\n",
-       "                <td>78.4 MiB </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Average record size in memory</th>\n",
-       "                <td>192.2 B </td>\n",
-       "            </tr>\n",
-       "            </tbody>\n",
-       "        </table>\n",
-       "    </div>\n",
-       "    <div class=\"col-md-6 namecol\">\n",
-       "        <p class=\"h4\">Variables types</p>\n",
-       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
-       "            <tbody>\n",
-       "            <tr>\n",
-       "                <th>Numeric</th>\n",
-       "                <td>8 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Categorical</th>\n",
-       "                <td>34 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Date</th>\n",
-       "                <td>0 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Text (Unique)</th>\n",
-       "                <td>1 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Rejected</th>\n",
-       "                <td>23 </td>\n",
-       "            </tr>\n",
-       "            </tbody>\n",
-       "        </table>\n",
-       "    </div>\n",
-       "    <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n",
-       "        <p class=\"h4\">Warnings</p>\n",
-       "        <ul class=\"list-unstyled\"><li><code>ACRES_DEED</code> has constant value 0 <span class=\"label label-primary\">Rejected</span></l><li><code>ACRES_POLY</code> is highly skewed (γ1 = 67.596)</l><li><code>AGPRE_ENRD</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>AGPRE_ENRD</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>AGPRE_EXPD</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>AGPRE_EXPD</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>BASEMENT</code> has 316342 / 74.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>BLDG_NUM</code> has a high cardinality: 21678 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>BLOCK</code> has 122493 / 28.6% missing values <span class=\"label label-default\">Missing</span></l><li><code>BLOCK</code> has a high cardinality: 218 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>CITY_USPS</code> has 13287 / 3.1% missing values <span class=\"label label-default\">Missing</span></l><li><code>COOLING</code> has 270248 / 63.2% missing values <span class=\"label label-default\">Missing</span></l><li><code>COUNTY_ID</code> has constant value 053 <span class=\"label label-primary\">Rejected</span></l><li><code>DWELL_TYPE</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>DWELL_TYPE</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>EMV_BLDG</code> has 35878 / 8.4% zeros</l><li><code>EMV_BLDG</code> is highly skewed (γ1 = 200.8)</l><li><code>EMV_LAND</code> has 22919 / 5.4% zeros</l><li><code>EMV_LAND</code> is highly skewed (γ1 = 73.643)</l><li><code>EMV_TOTAL</code> is highly correlated with <code>EMV_BLDG</code> (ρ = 0.9836) <span class=\"label label-primary\">Rejected</span></l><li><code>FIN_SQ_FT</code> has 282593 / 66.1% zeros</l><li><code>GARAGE</code> has 270248 / 63.2% missing values <span class=\"label label-default\">Missing</span></l><li><code>GARAGESQFT</code> has 270248 / 63.2% missing values <span class=\"label label-default\">Missing</span></l><li><code>GARAGESQFT</code> has a high cardinality: 1444 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>HEATING</code> has 271230 / 63.4% missing values <span class=\"label label-default\">Missing</span></l><li><code>HOME_STYLE</code> has 275362 / 64.4% missing values <span class=\"label label-default\">Missing</span></l><li><code>LANDMARK</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>LANDMARK</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>LOT</code> has 137057 / 32.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>LOT</code> has a high cardinality: 392 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>MULTI_USES</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>MULTI_USES</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>NUM_UNITS</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>NUM_UNITS</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>OWNER_MORE</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>OWNER_MORE</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>OWN_ADD_L1</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>OWN_ADD_L1</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>OWN_ADD_L2</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>OWN_ADD_L2</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>OWN_ADD_L3</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>OWN_ADD_L3</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>PARC_CODE</code> has constant value 0 <span class=\"label label-primary\">Rejected</span></l><li><code>PLAT_NAME</code> has a high cardinality: 18488 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>PREFIXTYPE</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>PREFIXTYPE</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>PREFIX_DIR</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>PREFIX_DIR</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>SALE_DATE</code> has 96622 / 22.6% missing values <span class=\"label label-default\">Missing</span></l><li><code>SALE_DATE</code> has a high cardinality: 553 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>SALE_VALUE</code> has 97862 / 22.9% zeros</l><li><code>SALE_VALUE</code> is highly skewed (γ1 = 91.079)</l><li><code>SPEC_ASSES</code> has 358992 / 83.9% zeros</l><li><code>SPEC_ASSES</code> is highly skewed (γ1 = 134.05)</l><li><code>STREETNAME</code> has a high cardinality: 7387 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>STREETTYPE</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>STREETTYPE</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>SUFFIX_DIR</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>SUFFIX_DIR</code> has constant value  <span class=\"label label-primary\">Rejected</span></l><li><code>Shape_Area</code> is highly correlated with <code>ACRES_POLY</code> (ρ = 1) <span class=\"label label-primary\">Rejected</span></l><li><code>Shape_Leng</code> is highly correlated with <code>Shape_Le_1</code> (ρ = 1) <span class=\"label label-primary\">Rejected</span></l><li><code>TAX_ADD_L2</code> has a high cardinality: 54604 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>TAX_ADD_L3</code> has 365597 / 85.5% missing values <span class=\"label label-default\">Missing</span></l><li><code>TAX_ADD_L3</code> has a high cardinality: 3193 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>TAX_CAPAC</code> is highly correlated with <code>EMV_TOTAL</code> (ρ = 0.9882) <span class=\"label label-primary\">Rejected</span></l><li><code>TOTAL_TAX</code> is highly correlated with <code>TAX_CAPAC</code> (ρ = 0.99701) <span class=\"label label-primary\">Rejected</span></l><li><code>UNIT_INFO</code> has 376292 / 88.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>UNIT_INFO</code> has a high cardinality: 6850 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>USE2_DESC</code> has 423364 / 99.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>USE3_DESC</code> has 427010 / 99.8% missing values <span class=\"label label-default\">Missing</span></l><li><code>USE4_DESC</code> has 427555 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>WSHD_DIST</code> has 77315 / 18.1% missing values <span class=\"label label-default\">Missing</span></l><li><code>XUSE1_DESC</code> has 410121 / 95.9% missing values <span class=\"label label-default\">Missing</span></l><li><code>XUSE2_DESC</code> has 426421 / 99.7% missing values <span class=\"label label-default\">Missing</span></l><li><code>XUSE3_DESC</code> has 427512 / 99.9% missing values <span class=\"label label-default\">Missing</span></l><li><code>XUSE4_DESC</code> has 427726 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>YEAR_BUILT</code> has 31396 / 7.3% zeros</l><li><code>ZIP</code> has a high cardinality: 78 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>ZIP4</code> has 427762 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>ZIP4</code> has constant value  <span class=\"label label-primary\">Rejected</span></l> </ul>\n",
-       "    </div>\n",
-       "</div>\n",
-       "    <div class=\"row headerrow highlight\">\n",
-       "        <h1>Variables</h1>\n",
-       "    </div>\n",
-       "    <div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>ACRES_DEED</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">ACRES_POLY<br/>\n",
-       "            <small>Numeric</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>3556</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>0.8%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "\n",
-       "                <tr>\n",
-       "                    <th>Mean</th>\n",
-       "                    <td>1.1817</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>1305.2</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Zeros (%)</th>\n",
-       "                    <td>0.7%</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram8506900693810133129\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABIFJREFUeJzt2j1oFHkYx/Gfm%2BS4hXAQyYuK2Z3oJrEJaBGDxEIlYCM2nhfQFKYQLSIWV1gJIaZJGUWujSEi5gULK68QxHoPFDF4SFx3Ec3lBSzCgrj7WDl3MXcPCbeZSfD7gSky/xnmCcyXZXZWFoOJiQmTxMa2oW1iYiLye7VaMQiCQJJ07do1NTc3r/u8jo4O1dbWbtJU2KpmZ2fV19cX3jdRiiWQZDIpSRoZGdnQeT%2BfPaupycnNGAnbwNf7JkqxBPJV5pchJRuDdR1b%2BP03zc//tbkDAd%2BINZCa2jr98FPDuo5N1Pwoqby5AwHfSMQ9ALCVEQjgIBDAQSCAg0AAB4EADgIBHAQCOAgEcBAI4CAQwEEggINAAAeBAA4CARwEAjgIBHAQCOAgEMBBIICDQAAHgQAOAgEcBAI4CARwEAjgIBDAQSCAg0AAB4EADgIBHAQCOAgEcBAI4CAQwEEggINAAAeBAA4CARwEAjgIBHAQCOAgEMBRHcdFi8WiJOnP8V%2B1I7G%2BRj9//qSVQ4d09%2B7dDV0rkUioXC5zzhY9R5Lq6%2BvV0NDwn%2Buzs7OS/r5vohRLILlcTpJU%2BvxpQ%2Bf9kc2qr69vEybCdpDL5dTd3R3pNXeYmUV6RUmLi4t69OiRgiBQMpmM%2BvLYZorFonK5nE6ePKn6%2BvpIrx1LIMB2wUM64CAQwBF5IK9fv1Z3d7fa29vV1dUVfkOB78fVq1fV0tKiRCKh58%2Bfr1l//PixqqurdfPmzXBfsVjUuXPn1NraqgMHDmhmZiZcMzNduXJFmUxGbW1tun37duWGtYidOHHCxsfHzcxsenraOjs7ox4BMXv69Km9e/fOWlpa7NmzZ6vWPn78aIcPH7bTp0/b6OhouH9oaMj6%2B/vNzOzNmzfW2Nhoy8vLZmZ2584d6%2BnpMTOz5eVlS6fT9vLly4rMGuknyMLCgrLZrM6fPy9JOnPmjAqFgubm5qIcAzE7evSo9uzZI/uX74cGBgZ0/fp17dy5c9X%2B%2B/fv6/Lly5KkIAh07NgxPXjwQJI0OTmpixcvSpLq6urU29ure/fuVWTWSAMpFAravXu3Ev94OZhKpZTP56McA1vUzMyMqqqqdOrUqTVr%2BXxe6XQ6/DsIgvC%2B8db%2Br1heFALfmp%2Bf1/DwsJ48eRL3KKtEGkhzc7Pev3%2Bvcrkcfork83mlUqkox8AWlM1m9eHDBx08eFBmpsXFRT18%2BFALCwu6ceOGUqmU3r59q6amJkkKXxxKCte6urrCtYrdUxV5ktmA48eP29jYmJmZTU1N8ZD%2BHQuCYM1D%2BlcXLlxY9ZA%2BODgYPqTPzc1ZU1OTLS0tmZnZ2NiY9fT0WKlUsqWlJUun0/bixYuKzBh5IK9evbIjR45YW1ubdXZ2VuwfwfZx6dIl27t3r9XU1NiuXbustbV1zTH9/f2rAllZWbHe3l7bv3%2B/tbe32/T0dLhWKpVsYGDA9u3bZ5lMxm7dulWxWfmpCeDgTTrgIBDAQSCAg0AAB4EADgIBHAQCOAgEcBAI4CAQwEEggINAAMcXNxJNyQs1J2oAAAAASUVORK5CYII%3D\">\n",
-       "\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives8506900693810133129,#minihistogram8506900693810133129\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives8506900693810133129\">\n",
-       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
-       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles8506900693810133129\"\n",
-       "                                                  aria-controls=\"quantiles8506900693810133129\" role=\"tab\"\n",
-       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#histogram8506900693810133129\" aria-controls=\"histogram8506900693810133129\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#common8506900693810133129\" aria-controls=\"common8506900693810133129\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#extreme8506900693810133129\" aria-controls=\"extreme8506900693810133129\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
-       "\n",
-       "    </ul>\n",
-       "\n",
-       "    <div class=\"tab-content\">\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles8506900693810133129\">\n",
-       "            <div class=\"col-md-4 col-md-offset-1\">\n",
-       "                <p class=\"h4\">Quantile statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Minimum</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>5-th percentile</th>\n",
-       "                        <td>0.07</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q1</th>\n",
-       "                        <td>0.15</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Median</th>\n",
-       "                        <td>0.26</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q3</th>\n",
-       "                        <td>0.53</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>95-th percentile</th>\n",
-       "                        <td>4.5</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Maximum</th>\n",
-       "                        <td>1305.2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Range</th>\n",
-       "                        <td>1305.2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Interquartile range</th>\n",
-       "                        <td>0.38</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "            <div class=\"col-md-4 col-md-offset-2\">\n",
-       "                <p class=\"h4\">Descriptive statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Standard deviation</th>\n",
-       "                        <td>6.3964</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Coef of variation</th>\n",
-       "                        <td>5.4127</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Kurtosis</th>\n",
-       "                        <td>9865.5</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Mean</th>\n",
-       "                        <td>1.1817</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>MAD</th>\n",
-       "                        <td>1.5226</td>\n",
-       "                    </tr>\n",
-       "                    <tr class=\"alert\">\n",
-       "                        <th>Skewness</th>\n",
-       "                        <td>67.596</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Sum</th>\n",
-       "                        <td>505500</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Variance</th>\n",
-       "                        <td>40.913</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Memory size</th>\n",
-       "                        <td>3.3 MiB</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram8506900693810133129\">\n",
-       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtUVOe9PvBnhgFnHBBk8DIQYqNCDZqIopxWjVICAVFxWWEUI1RjxGBQFA6amIueeLCiiFgNiC1pJYhWQSXGqAlW45VEBI7WFI1NTbhMTEYa5DJcZ//%2BcLF/7gx4SQcI%2BnzWchHe/ezv%2B7LzB9%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%2B9/D1ta23eNKpRIZGRkQBEEcs7e3N8ulp6cjKioKoaGhiIuLw%2BnTp7F06VIYjUbEx8eLOUEQEBQUhMuXL2PFihXQaDRITU2Fj48PioqKMGTIEDFbUlICPz8/eHh4YPPmzSgvL8fGjRtx/fp1HD58WDL/qlWrkJiYiEWLFmHMmDHIy8vDnDlzIJfLodPp/tPLRERERI8KoQvMmjVL8PPzE3x8fIRnnnlGcmzevHmCnZ3dfWsYjUbByclJCA4OlozPnTtXsLOzE3744Qdx7K9//asgk8mE/fv3i2Pff/%2B90LdvX%2BHFF1%2BUnD958mTBxcVFqK2tFcf%2B9Kc/CXK5XPjkk0/EsYqKCsHGxkZYunSp5PyJEycKTz75pGAyme77MxAREdHjodMfEZ46dQr79%2B9HSkrKPXMmkwk1NTUdHj9x4gSqqqqwePFiyfirr76K2tpayd2m3NxcDBw4EDNmzBDHnJycoNPpkJeXh%2BbmZgBATU0N8vPzER4eDrVaLWYjIiKgVquxd%2B9ecezgwYNoaWlBVFSUZP6oqCiUl5fj/Pnz9/z5iIiI6PHRqQ2WyWTC0qVLsXDhQgwfPrzDXH19Pfr06QN7e3toNBpER0eb7YFq2z/l5eUlGffy8oJcLpfsryouLsbo0aPN5vH29kZ9fT2uXbsGALh8%2BTJaWlrMalpbW8PT01NSs6SkBGq1GsOGDTOrKQhCh/u7iIiI6PHTqXuw0tLS8M033%2BBvf/tbhxlnZ2esWLECo0ePhslkwtGjR5GamopLly7h5MmTkMvv9IB6vR5WVlZwcnKSnG9tbQ2NRoPKykpxTK/XY9KkSWZzabVaAEBlZSWGDx8OvV4PmUwmjv84e%2BbMGUnNAQMG3LMmEREREdCJDVZVVRVWr16Nt99%2BG46Ojh3mEhISJN/rdDq4ubnhzTffRE5Ojrh53Gg0wsbGpt0aSqUSRqNR/N5oNKJXr17t5gRBELNtXzvKPmjNu2sRERERdVqD9cYbb4iP%2Bx7W8uXL8dZbbyE/P19ssFQqFZqamtrNNzQ0QKVSid%2BrVCo0Nja2m5PJZGK27WtH2QeteXet9hgMBhw7dgy/%2BMUv7pkjIiIiyzEajbhx4wYCAgLMnoB1tk5psK5fv44//vGP2LJlCyoqKgDceXVCQ0MDmpub8fXXX6NPnz7o27dvu%2BcrlUpoNBpUVVWJY1qtFq2trTAYDJKL1NzcjFu3bsHZ2VmS1ev1ZnXbxtqyWq0WgiB0mP1xzZMnT963ZnuOHTuGuXPndniciIiIOk9WVhZefPHFLp2zUxqsiooKCIKApUuXYsmSJWbHBw8ejJiYGCQnJ7d7fm1tLQwGA/r16yeOeXp6QhAEFBYWIjAwUBy/cOECTCYTPD09Jdm790%2B1KSgoQO/eveHu7g4AGDFiBBQKBQoLCxESEiLmmpubUVJSglmzZklqZmRkoLS0VLLRvaCgADKZTDL/j/3iF78AcOd/8NNPP91h7nGzfPlybN68ubuX8bPB62GO10SK18Mcr4kUr4fUP/7xD8ydO1f8PdyVOqXBGjFiBA4cOGA2/sYbb6C2thZ/%2BMMfMHjwYDQ2NqK5udnsBaTvvPMOAGDy5MnimK%2BvLxwdHZGWliZpsNLS0qBWqzFlyhRxLCQkBLm5udi/fz9%2B%2B9vfArjzmC4nJwfBwcGwtrYGAPTp0wd%2Bfn7IysrCW2%2B9Jb6qITMzE3V1dZKXh06fPh3Lly9Hamoq/vCHP4jj27dvh4uLC8aNG9fh9Wh7LPj000%2B3%2B9eNjyt7e3tej7vwepjjNZHi9TDHayLF69G%2B7tie0ykNlkajQXBwsNn45s2bIZPJMG3aNADA119/jVGjRiEsLEy8K3T06FEcOXIEQUFBkhpKpRJr165FdHQ0dDodAgICcOrUKWRnZ2PdunVwcHAQsyEhIUhJScH8%2BfNx5coVODk5ITU1FSaTCWvWrJGsKSEhAePHj8fEiRMRGRmJsrIyJCcnIyAgAP7%2B/mLOxcUFy5YtQ1JSEpqamjB27FgcOHAAZ8%2BeRXZ2NmQymSUvIREREfVgXfJROXe7uxFxcHDAtGnTkJ%2Bfj8zMTLS2tmLo0KFYv3494uLizM6NioqCjY0NNm3ahEOHDsHV1RUpKSlmjyHlcjmOHDmC%2BPh4bN26FUajEd7e3sjMzISbm5skO2rUKOTn52PlypWIjY2FnZ0dFi5ciHXr1pnNn5iYCEdHR6Snp2Pnzp1wc3PDrl27JI8SiYiIiLq0wTpx4oTke3t7e%2BzcufOhaixYsAALFiy4b87e3h47duzAjh077psdN24cTp8%2B/UDzr1y5EitXrnygLBERET2eOv2jcog6EhYW1t1L%2BFnh9TDHayLF62GO10SK1%2BPnQyYIgtDdi3jUFRUVwcvLCxcvXuTmQyIioi7Snb9/eQeLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrKwLv%2BonMdZSOisbvnAyZ9CqVJi1/uZ4mdEEhER0YNjg9WF/t1Li1qlw/2DPwOG4o/w0UcfscEiIiL6CdhgdSHtr3XoPXBody/jgfxw5Xh3L4GIiKjH4h4sIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFd1mAlJCRALpfj2WefNTtWWlqKwMBA2NnZQaPRICIiAgaDod06GRkZ8PDwgEqlgru7O7Zt29Zurrq6GpGRkejfvz9sbW3h6%2BuL4uLidrPnzp3DhAkToFarodVqERMTg7q6OrOcIAjYsGEDBg8eDJVKhZEjR2LPnj0PcRWIiIjocdAlDVZFRQV%2B//vfw9bWtt1jzz33HL766iusX78e8fHxOHz4MF544QW0tLRIsunp6Vi4cCGeeeYZbNu2DePGjcPSpUuxceNGSU4QBAQFBWHPnj3i8e%2B//x4%2BPj745z//KcmWlJTAz88PDQ0N2Lx5MxYuXIgdO3ZAp9OZrXXVqlV47bXXEBAQgG3btmHQoEGYM2cO9u7da4GrRERERI%2BKLvmw57i4OPz6179GS0sLbt26JTmWkJAAo9GIkpISuLi4AADGjh0Lf39//OUvf8HLL78MAGhoaMCbb76JadOm4a9//SsAYMGCBWhtbcXatWsRGRkJe3t7AMC%2Bfftw/vx55ObmYsaMGQCA0NBQuLu7Y/Xq1cjKyhLnX7VqFRwdHfHpp59CrVYDAAYNGoTIyEjk5%2BfDz88PAFBZWYnk5GQsWbIEW7ZsEeefNGkS4uPjERoaCplM1lmXkIiIiHqQTr%2BDderUKezfvx8pKSntHt%2B/fz%2BmTp0qNlcA8Pzzz8Pd3V1yZ%2BjEiROoqqrC4sWLJee/%2BuqrqK2txeHDh8Wx3NxcDBw4UGyuAMDJyQk6nQ55eXlobm4GANTU1CA/Px/h4eFicwUAERERUKvVkvkPHjyIlpYWREVFSeaPiopCeXk5zp8//zCXhYiIiB5hndpgmUwmLF26FAsXLsTw4cPNjldWVuK7777DmDFjzI55e3tL9ky1/beXl5ck5%2BXlBblcbpYdPXp0uzXr6%2Btx7do1AMDly5fR0tJiVtPa2hqenp6SmiUlJVCr1Rg2bJhZTUEQOtzfRURERI%2BfTm2w0tLS8M0332Dt2rXtHtfr9QAArVZrdkyr1aKqqkq826TX62FlZQUnJydJztraGhqNBpWVlZK6HdUEIGb1ej1kMlmH2R/XHDBgwH1rEhEREXVag1VVVYXVq1fj7bffhqOjY7sZo9EIAOjVq5fZMaVSKckYjUbY2Ni0W0epVIq5tmxHNQVBkNS81/wPWvPuWkRERESd1mC98cYb0Gg0iI6O7jCjUqkAAI2NjWbHGhoaJBmVSoWmpqZ26zQ0NIi5tmxHNWUymaTmveZ/0Jp31yIiIiLqlL8ivH79Ov74xz9iy5YtqKioAHDn1QkNDQ1obm7G119/jT59%2BoiP19oeFd5Nr9fD0dER1tbWAO48imttbYXBYJA8JmxubsatW7fg7Owsjmm12g5rAhCzWq0WgiB0mP1xzZMnT9635r2UfZIOK6VaMubo4QPH4T73PZeIiIg6tnv3buzevVsyVl1d3U2r6aQGq6KiAoIgYOnSpViyZInZ8cGDByMmJgbJycno168fCgsLzTKff/45PD09xe89PT0hCAIKCwsRGBgojl%2B4cAEmk8kse%2BbMGbOaBQUF6N27N9zd3QEAI0aMgEKhQGFhIUJCQsRcc3MzSkpKMGvWLEnNjIwMlJaWSja6FxQUQCaTSebviKv/IvQeOPS%2BOSIiIno4YWFhCAsLk4wVFRWZ/SFbV%2BmUR4QjRozAgQMHcODAARw8eFD8N3z4cAwaNAgHDx7EggULAAAzZ87Ehx9%2BKN7pAoDjx4/j2rVrkpd9%2Bvr6wtHREWlpaZK50tLSoFarMWXKFHEsJCQEN2/exP79%2B8Uxg8GAnJwcBAcHi3fF%2BvTpAz8/P2RlZUne3J6ZmYm6ujrJ/NOnT4dCoUBqaqpk/u3bt8PFxQXjxo37Ty4ZERERPUI65Q6WRqNBcHCw2fjmzZshk8kwbdo0cWzVqlXIycmBj48PYmJiUFNTg6SkJIwcORLz5s0Tc0qlEmvXrkV0dDR0Oh0CAgJw6tQpZGdnY926dXBwcBCzISEhSElJwfz583HlyhU4OTkhNTUVJpMJa9askawpISEB48ePx8SJExEZGYmysjIkJycjICAA/v7%2BYs7FxQXLli1DUlISmpqaMHbsWBw4cABnz55FdnY2XzJKREREoi55k/vdftyIPPHEE/j0008RGxuL119/HTY2Npg6dSqSkpLEO01toqKiYGNjg02bNuHQoUNwdXVFSkqK2WNIuVyOI0eOID4%2BHlu3boXRaIS3tzcyMzPh5uYmyY4aNQr5%2BflYuXIlYmNjYWdnh4ULF2LdunVma09MTISjoyPS09Oxc%2BdOuLm5YdeuXZJHiUREREQyQRCE7l7Eo67tGfDTL23tMXuwLiXPxPqEtYiNje3upRAREf0kbb9/L1682O4LyDtTl3zYMxEREdHjhA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjCOq3B%2BuKLL6DT6TBkyBCo1Wr069cPkyZNwocffijJzZ8/H3K53Oyfh4dHu3UzMjLg4eEBlUoFd3d3bNu2rd1cdXU1IiMj0b9/f9ja2sLX1xfFxcXtZs%2BdO4cJEyZArVZDq9UiJiYGdXV1ZjlBELBhwwYMHjwYKpUKI0eOxJ49ex7yyhAREdGjTtFZhb/%2B%2BmvU1tZi3rx5cHZ2Rn19PXJzcxEcHIwdO3bg5ZdfFrNKpRIZGRkQBEEcs7e3N6uZnp6OqKgohIaGIi4uDqdPn8bSpUthNBoRHx8v5gRBQFBQEC5fvowVK1ZAo9EgNTUVPj4%2BKCoqwpAhQ8RsSUkJ/Pz84OHhgc2bN6O8vBwbN27E9evXcfjwYcn8q1atQmJiIhYtWoQxY8YgLy8Pc%2BbMgVwuh06ns%2BTlIyIioh5MJtzd1XQyQRAwevRoNDY24osvvgBw5w5Wbm4ubt%2B%2Bfc9zGxoa4OrqinHjxiEvL08cDw8PR15eHsrKysSmbO/evZg9ezZyc3MxY8YMAIDBYIC7uzuCgoKQlZUlnh8UFIRLly7h6tWrUKvVAO7cJYuMjMSxY8fg5%2BcHAKisrMRTTz2FV155BVu2bBHPnzRpEm7cuIEbN25AJpO1u/aioiJ4eXnh6Ze2ovfAoQ972brFpeSZWJ%2BwFrGxsd29FCIiop%2Bk7ffvxYsXMXr06C6du0v3YMlkMri6uuKHH34wO2YymVBTU9PhuSdOnEBVVRUWL14sGX/11VdRW1sruduUm5uLgQMHis0VADg5OUGn0yEvLw/Nzc0AgJqaGuTn5yM8PFxsrgAgIiICarUae/fuFccOHjyIlpYWREVFSeaPiopCeXk5zp8//4BXgYiIiB51nd5g1dfX49atW/jqq6%2BwefNmHDlyRLwrdHemT58%2BsLe3h0ajQXR0tNkeqLb9U15eXpJxLy8vyOVyyf6q4uLidjtVb29v1NfX49q1awCAy5cvo6WlxaymtbU1PD09JTVLSkqgVqsxbNgws5qCIHS4v4uIiIgeP522B6tNXFwc0tPTAQByuRwzZ87E1q1bxePOzs5YsWIFRo8eDZPJhKNHjyI1NRWXLl3CyZMnIZff6QH1ej2srKzg5OQkqW9tbQ2NRoPKykpxTK/XY9KkSWZr0Wq1AO487hs%2BfDj0ej1kMpk4/uPsmTNnJDUHDBhwz5pEREREQBc0WMuXL0doaCgqKyuxd%2B9etLa2orGxUTyekJAgyet0Ori5ueHNN99ETk6OuHncaDTCxsam3TmUSiWMRqP4vdFoRK9evdrNCYIgZtu%2BdpR90Jp31yIiIiLq9EeE7u7u8PX1xdy5c/HBBx%2BgpqYGwcHB9zxn%2BfLlkMlkyM/PF8dUKhWamprazTc0NEClUkmydzdxd%2BdkMpmYbfvaUfZBa95di4iIiKjT72D9WEhICF555RV8%2BeWXcHNzazejVCqh0WhQVVUljmm1WrS2tsJgMEgeEzY3N%2BPWrVtwdnaWZPV6vVndtrG2rFarhSAIHWZ/XPPkyZP3rXkvZZ%2Bkw0qplow5evjAcbjPfc8lIiKiju3evRu7d%2B%2BWjFVXV3fTarqhwWp7lHavH7q2thYGgwH9%2BvUTxzw9PSEIAgoLCxEYGCiOX7hwASaTCZ6enpLs3fun2hQUFKB3795wd3cHAIwYMQIKhQKFhYUICQkRc83NzSgpKcGsWbMkNTMyMlBaWirZ6F5QUACZTCaZvyOu/ot6zGsaiIiIepKwsDCEhYVJxtpe09AdOu0R4ffff2821tLSgp07d0KlUsHDwwONjY2ora01y73zzjsAgMmTJ4tjvr6%2BcHR0RFpamiSblpYGtVqNKVOmiGMhISG4efMm9u/fL44ZDAbk5OQgODgY1tbWAIA%2BffrAz88PWVlZkr9azMzMRF1dneTlodOnT4dCoUBqaqpk/u3bt8PFxQXjxo17oOtCREREj75Ou4O1aNEi3L59GxMnToSLiwu%2B/fZb7Nq1C1evXkVycjJ69%2B6Nr7/%2BGqNGjUJYWJh4V%2Bjo0aM4cuQIgoKCJHu1lEol1q5di%2BjoaOh0OgQEBODUqVPIzs7GunXr4ODgIGZDQkKQkpKC%2BfPn48qVK3ByckJqaipMJhPWrFkjWWdCQgLGjx%2BPiRMnIjIyEmVlZUhOTkZAQAD8/f3FnIuLC5YtW4akpCQ0NTVh7NixOHDgAM6ePYvs7OwOXzJKREREj59Oa7Bmz56NjIwMbN%2B%2BHbdu3YKdnR28vLywceNG8W6Tg4MDpk2bhvz8fGRmZqK1tRVDhw7F%2BvXrERcXZ1YzKioKNjY22LRpEw4dOgRXV1ekpKRgyZIlkpxcLseRI0cQHx%2BPrVu3wmg0wtvbG5mZmWb7vkaNGoX8/HysXLkSsbGxsLOzw8KFC7Fu3Tqz%2BRMTE%2BHo6Ij09HTs3LkTbm5u2LVrl%2BRRIhEREVGXflTO44oflUNERNT1HpuPyiEiIiJ6HLDBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgvrtAbriy%2B%2BgE6nw5AhQ6BWq9GvXz9MmjQJH374oVm2tLQUgYGBsLOzg0ajQUREBAwGQ7t1MzIy4OHhAZVKBXd3d2zbtq3dXHV1NSIjI9G/f3/Y2trC19cXxcXF7WbPnTuHCRMmQK1WQ6vVIiYmBnV1dWY5QRCwYcMGDB48GCqVCiNHjsSePXse4qoQERHR46DTGqyvv/4atbW1mDdvHv7whz/g7bffhkwmQ3BwMP70pz%2BJuYqKCjz33HP46quvsH79esTHx%2BPw4cN44YUX0NLSIqmZnp6OhQsX4plnnsG2bdswbtw4LF26FBs3bpTkBEFAUFAQ9uzZIx7//vvv4ePjg3/%2B85%2BSbElJCfz8/NDQ0IDNmzdj4cKF2LFjB3Q6ndnPtGrVKrz22msICAjAtm3bMGjQIMyZMwd79%2B614JUjIiKink4mCILQVZMJgoDRo0ejsbERX3zxBQBg8eLFyMzMxNWrV%2BHi4gIAOH78OPz9/bFjxw68/PLLAICGhga4urpi3LhxyMvLE2uGh4cjLy8PZWVlsLe3BwDs3bsXs2fPRm5uLmbMmAEAMBgMcHd3R1BQELKyssTzg4KCcOnSJVy9ehVqtRrAnbtkkZGROHbsGPz8/AAAlZWVeOqpp/DKK69gy5Yt4vmTJk3CjRs3cOPGDchksnZ/7qKiInh5eeHpl7ai98ChFrmWne1S8kysT1iL2NjY7l4KERHRT9L2%2B/fixYsYPXp0l87dpXuwZDIZXF1d8cMPP4hj%2B/fvx9SpU8XmCgCef/55uLu7S%2B4MnThxAlVVVVi8eLGk5quvvora2locPnxYHMvNzcXAgQPF5goAnJycoNPpkJeXh%2BbmZgBATU0N8vPzER4eLjZXABAREQG1Wi2Z/%2BDBg2hpaUFUVJRk/qioKJSXl%2BP8%2BfM/9bIQERHRI6bTG6z6%2BnrcunULX331FTZv3owjR45I7gp99913GDNmjNl53t7ekj1Tbf/t5eUlyXl5eUEul5tl2%2BtUvb29UV9fj2vXrgEALl%2B%2BjJaWFrOa1tbW8PT0lNQsKSmBWq3GsGHDzGoKgtDh/i4iIiJ6/HR6gxUXF4d%2B/fph6NChiI%2BPx29/%2B1ts3boVAKDX6wEAWq3W7DytVouqqirxbpNer4eVlRWcnJwkOWtra2g0GlRWVopjer2%2Bw5oAxKxer4dMJusw%2B%2BOaAwYMuG9NIiIiIkVnT7B8%2BXKEhoaisrISe/fuRWtrKxobGwEARqMRANCrVy%2Bz85RKpZixtraG0WiEjY1Nu3MolUqxVts5HdUUBEHM3m/%2BB615dy0iIiKiTr%2BD5e7uDl9fX8ydOxcffPABampqEBwcDABQqVQAIDZcd2toaJBkVCoVmpqa2p2joaFBzLVlO6opk8kkNe81/4PWvLsWERERUaffwfqxkJAQvPLKK/jyyy/Fx2ttjwrvptfr4ejoCGtrawB3HsW1trbCYDBIHhM2Nzfj1q1bcHZ2Fse0Wm2HNQGIWa1WC0EQOsz%2BuObJkyfvW/Neyj5Jh5VSLRlz9PCB43Cf%2B55LREREHdu9ezd2794tGauuru6m1XRDg9X2KK26uhpubm7o168fCgsLzXKff/45PD09xe89PT0hCAIKCwsRGBgojl%2B4cAEmk8kse%2BbMGbOaBQUF6N27N9zd3QEAI0aMgEKhQGFhIUJCQsRcc3MzSkpKMGvWLEnNjIwMlJaWSja6FxQUQCaTSebviKv/oh7zmgYiIqKeJCwsDGFhYZKxttc0dIdOe0T4/fffm421tLRg586dUKlU8PDwAADMnDkTH374ISoqKsTc8ePHce3aNcnLPn19feHo6Ii0tDRJzbS0NKjVakyZMkUcCwkJwc2bN7F//35xzGAwICcnB8HBweJdsT59%2BsDPzw9ZWVmSN7dnZmairq5OMv/06dOhUCiQmpoqmX/79u1wcXHBuHHjHur6EBER0aOr0%2B5gLVq0CLdv38bEiRPh4uKCb7/9Frt27cLVq1eRnJyM3r17A7jzdvScnBz4%2BPggJiYGNTU1SEpKwsiRIzFv3jyxnlKpxNq1axEdHQ2dToeAgACcOnUK2dnZWLduHRwcHMRsSEgIUlJSMH/%2BfFy5cgVOTk5ITU2FyWTCmjVrJOtMSEjA%2BPHjMXHiRERGRqKsrAzJyckICAiAv7%2B/mHNxccGyZcuQlJSEpqYmjB07FgcOHMDZs2eRnZ3d4UtGiYiI6PHTaQ3W7NmzkZGRge3bt%2BPWrVuws7ODl5cXNm7cKLnb9MQTT%2BDTTz9FbGwsXn/9ddjY2GDq1KlISkoS7zS1iYqKgo2NDTZt2oRDhw7B1dUVKSkpWLJkiSQnl8tx5MgHER87AAAgAElEQVQRxMfHY%2BvWrTAajfD29kZmZibc3Nwk2VGjRiE/Px8rV65EbGws7OzssHDhQqxbt87sZ0pMTISjoyPS09Oxc%2BdOuLm5YdeuXZJHiURERERd%2BlE5jyt%2BVA4REVHXe2w%2BKoeIiIjoccAGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYXJp02bhr1796KxsbG710JERET0SJB/8cUXmD17NgYMGIAFCxbg5MmT3b0mIiIioh5N/s9//hNnz57Fiy%2B%2BiEOHDuH555/Hk08%2Biddffx1///vfu3t9RERERD2OHAB%2B/etf491334Ver8cHH3yA8ePHY%2BvWrRg5ciQ8PT2RnJwMvV7f3WslIiIi6hEkm9ytrKwwZcoU7N69G%2BXl5QgJCcGlS5cQHx%2BPJ598EoGBgTh27Fh3rZWIiIioRzD7K8KCggJER0fD3d0d%2B/btw9NPP42EhASsX78eZWVlCAoKwv/8z/90x1qJiIiIegQFAFy7dg1ZWVnIzs7Gv/71Lzg5OSEsLAzh4eEYM2aMGI6Li8OCBQuwdetWrF69utsWTURERPRzphgzZgyKi4thY2ODqVOnYvPmzZg8eTIUCkW7J/j5%2BeHPf/5zFy%2BTiIiIqOdQKJVKpKamYtasWXBwcLjvCcHBwfjyyy%2B7YGlEREREPZPizJkzD3WCWq3GkCFDOmk5RERERD2fvKSkBOnp6R0GduzYgUuXLnXhkoiIiIh6NvmqVatw5MiRDgPHjh3DG2%2B80YVLIiIiIurZ5IWFhZg4cWKHgeeeew4XLlzowiURERER9Wzympoa2NjYdBiwsrJCdXV1Fy6JiIiIqGeTu7m54ZNPPukw8PHHH%2BOpp5566MKFhYWIjo7GiBEjYGtri0GDBmHWrFlmf4E4f/58yOVys38eHh7t1s3IyICHhwdUKhXc3d2xbdu2dnPV1dWIjIxE//79YWtrC19fXxQXF7ebPXfuHCZMmAC1Wg2tVouYmBjU1dWZ5QRBwIYNGzB48GCoVCqMHDkSe/bsecgrQ0RERI86xfz58xEXF4cVK1bgrbfegp2dHQDg9u3bWLt2LT766CMkJiY%2BdOHExEScO3cOoaGhePbZZ/Htt99i69atGD16ND777DNJA6VUKpGRkQFBEMQxe3t7s5rp6emIiopCaGgo4uLicPr0aSxduhRGoxHx8fFiThAEBAUF4fLly1ixYgU0Gg1SU1Ph4%2BODoqIiyV9BlpSUwM/PDx4eHti8eTPKy8uxceNGXL9%2BHYcPH5bMv2rVKiQmJmLRokUYM2YM8vLyMGfOHMjlcuh0uoe%2BRkRERPRokplMJiEiIgK7du2CQqHAE088AQAoLy9HS0sLwsLCkJWVBZlM9lCFCwoKMGbMGMkLS69fv45nnnkGoaGhyMzMBHDnDlZubi5u3759z3oNDQ1wdXXFuHHjkJeXJ46Hh4cjLy8PZWVlYlO2d%2B9ezJ49G7m5uZgxYwYAwGAwwN3dHUFBQcjKyhLPDwoKwqVLl3D16lWo1WoAd%2B6SRUZG4tixY/Dz8wMAVFZW4qmnnsIrr7yCLVu2iOdPmjQJN27cwI0bNzq8RkVFRfDy8sLTL21F74FDH/gadqdLyTOxPmEtYmNju3spREREP0nb79%2BLFy9i9OjRXTq3XCaT4f3338exY8fw0ksvYejQoRg6dCgWLFiAjz/%2BGLt27Xro5goAfvWrX5m9DX7o0KEYPnw4/vGPf5jlTSYTampqOqx34sQJVFVVYfHixZLxV199FbW1tZK7Tbm5uRg4cKDYXAGAk5MTdDod8vLy0NzcDACoqalBfn4%2BwsPDxeYKACIiIqBWq7F3715x7ODBg2hpaUFUVJRk/qioKJSXl%2BP8%2BfP3uhxERET0GBE/7Nnf3x/bt2/Hxx9/jI8//hhpaWni3RtLunnzJpycnCRj9fX16NOnD%2Bzt7aHRaBAdHW22B6pt/5SXl5dk3MvLC3K5XLK/qri4uN1O1dvbG/X19bh27RoA4PLly2hpaTGraW1tDU9PT0nNkpISqNVqDBs2zKymIAgd7u8iIiKix4/8/hHLycrKQkVFBWbPni2OOTs7Y8WKFfjLX/6CPXv2YPr06UhNTcXkyZNhMpnEnF6vh5WVlVlzZm1tDY1Gg8rKSklWq9Wazd821pbV6/WQyWQdZn9cc8CAAfetSURERKQA7uw5ysjIwFdffYV///vfks3mACCTydDY2PgfTVRaWoro6GiMHz8eERER4nhCQoIkp9Pp4ObmhjfffBM5OTni5nGj0djh6ySUSiWMRqP4vdFoRK9evdrNCYIgZtu%2BdpR90Jp31yIiIiJSvPbaa9i4cSOeeeYZhISEoG/fvhaf5ObNm5gyZQr69u2Lffv23XdP1/Lly/HWW28hPz9fbLBUKhWamprazTc0NEClUonfq1SqdhvChoYGyGQyMdv2taPsg9a8uxYRERGR4r333sOMGTOQk5PTKRPcvn0bgYGBuH37Ns6cOYOBAwfe9xylUgmNRoOqqipxTKvVorW1FQaDQfKYsLm5Gbdu3YKzs7Mkq9frzeq2jbVltVotBEHoMPvjmidPnrxvzXsp%2ByQdVkq1ZMzRwweOw33uey4RERF1bPfu3di9e7dkrDtflK4wGo144YUXOqV4Y2Mjpk6diuvXr%2BP48eP45S9/%2BUDn1dbWwmAwoF%2B/fuKYp6cnBEFAYWEhAgMDxfELFy7AZDLB09NTkj1z5oxZ3YKCAvTu3Rvu7u4AgBEjRkChUKCwsBAhISFirrm5GSUlJZg1a5akZkZGBkpLSyUb3QsKCiCTySTzd8TVf1GPeU0DERFRTxIWFoawsDDJWNtrGrqD/De/%2BQ0uXrxo8cImkwk6nQ6fffYZcnJy4O3tbZZpbGxEbW2t2fg777wDAJg8ebI45uvrC0dHR6SlpUmyaWlpUKvVmDJlijgWEhKCmzdvYv/%2B/eKYwWBATk4OgoODYW1tDQDo06cP/Pz8kJWVJfmrxczMTNTV1UleHjp9%2BnQoFAqkpqZK5t%2B%2BfTtcXFwwbty4B7ouRERE9OhTpKam4oUXXsCGDRsQGRkJBwcHixSOjY3FoUOHEBwcDIPBgF27dkmOv/jii/j2228xatQohIWFiXeFjh49iiNHjiAoKAjBwcFiXqlUYu3atYiOjoZOp0NAQABOnTqF7OxsrFu3TrLukJAQpKSkYP78%2Bbhy5QqcnJyQmpoKk8mENWvWSNaRkJCA8ePHY%2BLEiYiMjERZWRmSk5MREBAAf39/Mefi4oJly5YhKSkJTU1NGDt2LA4cOICzZ88iOzv7J70rjIiIiB5NMgcHB6GlpQX19fUAAFtbW1hZWUlDMhlu3br1UIV/85vf4NSpUx0eb21tRXV1NZYuXYqCggJUVlaitbUVQ4cOxdy5cxEXF2e2DuDOXzxu2rQJ//rXv%2BDq6oolS5ZgyZIlZrnq6mrEx8fj4MGDMBqN8Pb2RlJSEkaNGmWWPXfuHFauXImioiLY2dlh1qxZWLduneTlo20SExORnp4OvV4PNzc3rFq1SvLaifbwTe5ERERdrzvf5C578cUXhQe5%2B/L%2B%2B%2B93wXIeTWywiIiIul53NliKuz%2BXj4iIiIj%2Bc136JnciIiKix4EcAMrLyxEdHY3hw4ejX79%2BOH36NIA7f3kXGxuLkpKSbl0kERERUU%2BiKC0txXPPPYfm5maMHTsWpaWlaG5uBgA4OTnhxIkTuH37Nv70pz9181KJiIiIegbFihUrYGtri4KCAlhZWaF///6SwJQpU7Bv375uWh4RERFRzyP/9NNPsXjxYgwYMKDddzkNGjQIFRUV3bA0IiIiop5J3tra2u77ntoYDAbxzedEREREdH/yUaNG4ejRo%2B0ebG1txZ49e/Bf//VfXbwsIiIiop5L/tprr%2BHw4cNYsmQJSktLAdy5a3Xy5EkEBgbiiy%2B%2BwGuvvdbNyyQiIiLqORRTpkxBRkYGli1bJn6QcdunUdva2uK9996Dj49PNy6RiIiIqGdRAMC8efMwc%2BZMHD16FNevX4fJZMKQIUMwefJk2Nvbd/caiYiIiHoURdt/2NnZITQ0tDvXQkRERPRIUFRWVj5Q0NnZuZOXQkRERPRoUDzxxBPtvv/qx1pbW7tgOUREREQ9n2LHjh1mDVZraytu3LiB999/H1qtFosWLeqm5RERERH1PIqXX365w4OrVq2Ct7c3GhoaunBJRERERD2b/F4HbW1t8dJLL2HTpk1dtR4iIiKiHu%2BeDVYbvV7f2esgIiIiemQoOjpQX1%2BPU6dOISkpCZ6enl25JiIiIqIeTWFtbd3uXxG2trZCEAS4uLjg3Xff7YalEREREfVMipUrV5o1WDKZDH379hXf5m5tbd1NyyMiIiLqeRT/%2B7//291rICIiInqkPNAm95%2BisLAQ0dHRGDFiBGxtbTFo0CDMmjULX375pVm2tLQUgYGBsLOzg0ajQUREBAwGQ7t1MzIy4OHhAZVKBXd3d2zbtq3dXHV1NSIjI9G/f3/Y2trC19cXxcXF7WbPnTuHCRMmQK1WQ6vVIiYmBnV1dWY5QRCwYcMGDB48GCqVCiNHjsSePXse4qoQERHR40ARGRn50CfJZDKkp6ffM5OYmIhz584hNDQUzz77LL799lts3boVo0ePxmeffQYPDw8AQEVFBZ577jn07dsX69evR01NDTZu3Ii///3v%2BPzzz6FQ/P99%2BOnp6YiKikJoaCji4uJw%2BvRpLF26FEajEfHx8WJOEAQEBQXh8uXLWLFiBTQaDVJTU%2BHj44OioiIMGTJEzJaUlMDPzw8eHh7YvHkzysvLsXHjRly/fh2HDx%2BW/EyrVq1CYmIiFi1ahDFjxiAvLw9z5syBXC6HTqd76OtIREREjybZE088IRiNRlRVVQG486HPAFBTUwMAcHR0hEqlkp4kk%2BGbb765Z%2BGCggKMGTNG0iBdv34dzzzzDEJDQ5GZmQkAWLx4MTIzM3H16lW4uLgAAI4fPw5/f3/s2LEDbS9CbWhogKurK8aNG4e8vDyxZnh4OPLy8lBWVgZ7e3sAwN69ezF79mzk5uZixowZAACDwQB3d3cEBQUhKytLPD8oKAiXLl3C1atXoVarAdy5SxYZGYljx47Bz88PAFBZWYmnnnoKr7zyCrZs2SKeP2nSJNy4cQM3btzo8COHioqK4OXlhadf2oreA4fe87r9XFxKnon1CWsRGxvb3UshIiL6Sdp%2B/168eBGjR4/u0rnln3zyCXr37o0VK1agsrIS1dXVqK6uRmVlJeLj46FWq5Gfn4%2BysjLx3/2aKwD41a9%2BJWmuAGDo0KEYPnw4/vGPf4hj%2B/fvx9SpU8XmCgCef/55uLu7Y%2B/eveLYiRMnUFVVhcWLF0tqvvrqq6itrZXcbcrNzcXAgQPF5goAnJycoNPpkJeXh%2BbmZgB3msj8/HyEh4eLzRUAREREQK1WS%2BY/ePAgWlpaEBUVJZk/KioK5eXlOH/%2B/H2vCRERET0e5NHR0fD398f69esxcOBA8cDAgQORmJgIPz8/REdHW2zCmzdvwsnJCcCdu0LfffcdxowZY5bz9vaW7Jlq%2B28vLy9JzsvLC3K53CzbXqfq7e2N%2Bvp6XLt2DQBw%2BfJltLS0mNW0traGp6enpGZJSQnUajWGDRtmVlMQhA73dxEREdHjR972KK8jY8aMsdjdmaysLFRUVGD27NkA/v8b4rVarVlWq9WiqqpKvNuk1%2BthZWUlNmdtrK2todFoUFlZKY7p9foOawIQs3q9HjKZrMPsj2sOGDDgvjWJiIiI5A4ODjh27FiHgSNHjoh7m/4TpaWliI6Oxvjx4xEREQEAMBqNAIBevXqZ5ZVKpSRjNBphY2PTbm2lUinm2rId1RQEQVLzXvM/aM27axERERHJIyMj8cEHH2DmzJk4efIkysvLUV5ejhMnTuC3v/0tDh8%2BjEWLFv1Hk9y8eRNTpkxB3759sW/fPnEzeNvm%2BcbGRrNzGhoaJBmVSoWmpqZ26zc0NEg24qtUqg5rymQySc17zf%2BgNe%2BuRURERKR46623YDQasWnTJhw8eFBy0MrKCv/93/%2BNt99%2B%2BydPcPv2bQQGBuL27ds4c%2BaMZJ9X2%2BO19j5MWq/Xw9HRUXyLvFarRWtrKwwGg%2BQxYXNzM27dugVnZ2dJ3Y5qAhCzWq0WgiB0mP1xzZMnT9635r2UfZIOK6VaMubo4QPH4T73PZeIiIg6tnv3buzevVsyVl1d3U2rARQymQy///3vsXz5chw7dkz8C8FBgwbB39%2B/3X1HD6qxsRFTp07F9evXcfz4cfzyl7%2BUHHd2dka/fv1QWFhodu7nn38u%2BZBpT09PCIKAwsJCBAYGiuMXLlyAyWQyy545c8asZkFBAXr37g13d3cAwIgRI6BQKFBYWIiQkBAx19zcjJKSEsyaNUtSMyMjA6WlpZKN7gUFBZDJZA/0gdiu/ot6zGsaiIiIepKwsDCEhYVJxtpe09AdxDe59%2B/fH%2BHh4XjjjTfwxhtvYO7cuf9Rc2UymaDT6fDZZ58hJycH3t7e7eZmzpyJDz/8EBUVFeLY8ePHce3aNcnLO319feHo6Ii0tDTJ%2BWlpaVCr1ZgyZYo4FhISgps3b2L//v3imMFgQE5ODoKDg8W7Yn369IGfnx%2BysrIkb27PzMxEXV2dZP7p06dDoVAgNTVVMv/27dvh4uKCcePGPczlISIiokeYArjTDO3fvx8nTpzAd999h9WrV2PEiBG4ffs2Tp48iV/96lfo37//QxWOjY3FoUOHEBwcDIPBgF27dkmOv/jiiwDuvB09JycHPj4%2BiImJQU1NDZKSkjBy5EjMmzdPzCuVSqxduxbR0dHQ6XQICAjAqVOnkJ2djXXr1sHBwUHMhoSEICUlBfPnz8eVK1fg5OSE1NRUmEwmrFmzRrKOhIQEjB8/HhMnTkRkZCTKysqQnJyMgIAA%2BPv7izkXFxcsW7YMSUlJaGpqwtixY3HgwAGcPXsW2dnZHb5klIiIiB4/itu3b2Py5Mk4f/48VCoVGhoaxJdp9u7dG1FRUZg3bx4SEhIeqvD//d//QSaT4dChQzh06JDZ8bYG64knnsCnn36K2NhYvP7667CxscHUqVORlJQk3mlqExUVBRsbG2zatAmHDh2Cq6srUlJSsGTJEklOLpfjyJEjiI%2BPx9atW2E0GuHt7Y3MzEy4ublJsqNGjUJ%2Bfj5WrlyJ2NhY2NnZYeHChVi3bp3ZmhMTE%2BHo6Ij09HTs3LkTbm5u2LVrl%2BRRIhEREZEsKipKyMzMxL59%2BzBmzBgMGDAA%2Bfn58PX1BQDExMTg1KlTfJHmf4AflUNERNT1uvWjcg4cOIAlS5Zg8uTJkMvlZgF3d3fcuHGjSxdFRERE1JPJ//3vf2Pw4MEdBlpaWsS3qRMRERHR/cmHDBlyz8d/%2Bfn5ePrpp7twSUREREQ9m3zBggV47733kJubKw7KZDI0Nzdj9erV%2BOijjxAZGdmNSyQiIiLqWRTLly/H5cuXERoaCo1GAwAIDw%2BHwWBAU1MTFixYgIULF3bzMomIiIh6DoVMJsOf//xn/O53v0NOTg6%2B/PJLmEwmDBkyBDqdTvxrQiIiIiJ6MIqPPvoITz75JHx8fODj49Pd6yEiIiLq8eQzZszA6dOnu3sdRERERI8M%2BdChQ1FVVdXd6yAiIiJ6ZMhfe%2B01vPvuu7h%2B/Xp3r4WIiIjokaAoLi5G37594eHhgeeffx6/%2BMUvoFKpJCGZTIZNmzZ10xKJiIiIehZFSkqK%2BM2xY8faDbHBIiIiInpwCn4MDhEREZFlKaysrLp7DURERESPFDkA3Lp1C1ZWVvjb3/7W3eshIiIi6vHkbf8hCEJ3roOIiIjokSG/f4SIiIiIHgYbLCIiIiILUxQVFaG6uhoA8OWXX8LBwaHd4OjRo7tyXUREREQ9lmLs2LHiN4sXLzYLCIIAmUyG1tbWrlwXERERUY%2BleO%2B997p7DURERESPFPnvfvc7PMi/n6Kurg6rV6/G5MmTodFoIJfLkZmZaZabP38%2B5HK52T8PD49262ZkZMDDwwMqlQru7u7Ytm1bu7nq6mpERkaif//%2BsLW1ha%2BvL4qLi9vNnjt3DhMmTIBarYZWq0VMTAzq6urMcoIgYMOGDRg8eDBUKhVGjhyJPXv2PMRVISIiokedojOLGwwGrF27FoMGDYKnpydOnjzZYVapVCIjI0Pyugh7e3uzXHp6OqKiohAaGoq4uDicPn0aS5cuhdFoRHx8vJgTBAFBQUG4fPkyVqxYAY1Gg9TUVPj4%2BKCoqAhDhgwRsyUlJfDz84OHhwc2b96M8vJybNy4EdevX8fhw4cl869atQqJiYlYtGgRxowZg7y8PMyZMwdyuRw6ne4/uFpERET0qOjUBsvZ2Rnffvst%2Bvfvj4sXL%2BLu/V5mC1EoEBYWds96DQ0NePPNNzFt2jT89a9/BQAsWLAAra2tWLt2LSIjI8WmbN%2B%2BfTh//jxyc3MxY8YMAEBoaCjc3d2xevVqZGVliXVXrVoFR0dHfPrpp1Cr1QCAQYMGITIyEvn5%2BfDz8wMAVFZWIjk5GUuWLMGWLVvE%2BSdNmoT4%2BHiEhoZCJpP9xKtFREREj4pOfU2DtbU1%2Bvfv/8B5k8mEmpqaDo%2BfOHECVVVVZpvxX331VdTW1kruNuXm5mLgwIFicwUATk5O0Ol0yMvLQ9tnMNbU1CA/Px/h4eFicwUAERERUKvV2Lt3rzh28OBBtLS0ICoqSjJ/VFQUysvLcf78%2BQf%2BWYmIiOjR9bN5D1Z9fT369OkDe3t7aDQaREdHm%2B2Bats/5eXlJRn38vKCXC6X7K8qLi5u99US3t7eqK%2Bvx7Vr1wAAly9fRktLi1lNa2treHp6SmqWlJRArVZj2LBhZjUFQehwfxcRERE9Xn4WDZazszNWrFiBv/zlL9izZw%2BmT5%2BO1NRUTJ48GSaTSczp9XpYWVnByclJcr61tTU0Gg0qKyslWa1WazZX21hbVq/XQyaTdZj9cc0BAwbctyYRERE93jp1D9aDSkhIkHyv0%2Bng5uaGN998Ezk5OeLmcaPRCBsbm3ZrKJVKGI1G8Xuj0YhevXq1mxMEQcy2fe0o%2B6A1765FREREj7efxR2s9ixfvhwymQz5%2BfnimEqlQlNTU7v5hoYGqFQqSbaxsbHdnEwmE7NtXzvKPmjNu2sRERHR4%2B1ncQerPUqlEhqNBlVVVeKYVqtFa2srDAaD5DFhc3Mzbt26BWdnZ0lWr9eb1W0ba8tqtVoIgtBh9sc123vVxI9rdqTsk3RYKdWSMUcPHzgO97nneURERHRvu3fvxu7duyVjbR8F2B1%2Btg1WbW0tDAYD%2BvXrJ455enpCEAQUFhYiMDBQHL9w4QJMJhM8PT0l2TNnzpjVLSgoQO/eveHu7g4AGDFiBBQKBQoLCxESEiLmmpubUVJSglmzZklqZmRkoLS0VLLRvaCgADKZTDJ/e1z9F6H3wKEPcRWIiIjoQYSFhZm97qmoqMjsj9i6Src/ImxsbERtba3Z%2BDvvvAMAmDx5sjjm6%2BsLR0dHpKWlSbJpaWlQq9WYMmWKOBYSEoKbN29i//794pjBYEBOTg6Cg4NhbW0NAOjTpw/8/PyQlZUl%2BavFzMxM1NXVSV4eOn36dCgUCqSmpkrm3759O1xcXDBu3LifcgmIiIjoEdPpd7Deffdd/PDDD6ioqAAAfPDBBygrKwMALF26FFVVVRg1ahTCwsLEu0JHjx7FkSNHEBQUhODgYLGWUqnE2rVrER0dDZ1Oh4CAAJw6dQrZ2dlYt24dHBwcxGxISAhSUlIwf/58XLlyBU5OTkhNTYXJZMKaNWska0xISMD48eMxceJEREZGoqysDMnJyQgICIC/v7%2BYc3FxwbJly5CUlISmpiaMHTsWBw4cwNmzZ5Gdnc2XjBIRERGALmiwkpKS8M033wAAZDIZDhw4gAMHDgAAwsPD4eDggGnTpiE/Px%2BZmZlobW3F0KFDsX79esTFxZnVi4qKgo2NDTZt2oRDhw7B1dUVKSkpWLJkiSQnl8tx5MgRxMfHY%2BvWrTAajfD29kZmZibc3Nwk2VGjRiE/Px8rV65EbGws7OzssHDhQqxbt85s/sTERDg6OiI9PR07d%2B6Em5sbdu3aJXmUSERERI83mXD3h/9Rp2h7Bvz0S1t7zB6sS8kzsT5hLWJjY7t7KURERD9J2%2B/fixcvtvvy8c7U7XuwiIiIiB41bLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwjq1waqrq8Pq1asxefJkaDQayOVyZGZmtpstLS1FYGAg7OzsoNFoEBERAYPB0G42IyMDHh4eUKlUcHd3x7Zt29rNVVdXIzIyEv3794etrS18fX1RXFzcbvbcuXOYMGEC1Go1tFotYmJiUFdXZ5YThP/Xzt1HRVXnfwB/3ysDgwxow4MMZj6klKY2irKJZRyCRfOx5CHcxHyADqbYYY%2BSbmVHBE1RKVnw8WQezCgfNstqj7hlW2GISj%2B1DG1X4mkx1BR0gAG%2Bvz/2cNdpBh/qjoPM%2B3XOnCPf%2B5nP/X4/Z86dj/feuQKrVq1Cv3794O7ujocffhjvvvvuLVaEiIiInIFdG6za2lqkpaXh9OnTMBqNkCTJZlxlZSUee%2Bwx/Otf/8LKlSuxcOFC7N%2B/H3/84x/R3NxsEbtx40YkJCRgyJAhyM7ORkhICJKTk7F69WqLOCEEnnzySbz77rvK9p9//hmhoaH48ccfLWJLSkoQHh6OhoYGrFu3DgkJCdi0aRNiYmKs5rpkyRK89NJLiOOX9hMAABvXSURBVIyMRHZ2Nnr37o1p06bhvffe%2B53VIiIios7CxZ7JAwIC8J///Ad%2Bfn44evQoRo4caTMuPT0dJpMJJSUl6NmzJwBg5MiRiIiIwLZt2zBnzhwAQENDA15%2B%2BWVMnDgR%2Bfn5AIDZs2ejpaUFaWlpSExMRLdu3QAA77//PgoLC7F792489dRTAIDo6GgEBgZi6dKlyMvLU/a/ZMkS6PV6HDp0CB4eHgCA3r17IzExEQUFBQgPDwcAVFVVYe3atZg/fz7eeOMNZf%2BPP/44Fi5ciOjo6HabSCIiInIedj2DpdFo4Ofnd9O4PXv2YMKECUpzBQBPPPEEAgMDLc4MffbZZ7h48SLmzp1r8f4XXngB9fX12L9/vzK2e/du%2BPv7K80VAPj4%2BCAmJgYffPABzGYzAKCurg4FBQWYPn260lwBQHx8PDw8PCz2/7e//Q3Nzc1ISkqy2H9SUhIqKipQWFh407USERFR5%2Bfwm9yrqqpw/vx5jBgxwmpbcHCwxT1Tbf8OCgqyiAsKCoIsy1axw4cPt5nz2rVrKC0tBQCcOHECzc3NVjk1Gg2MRqNFzpKSEnh4eODBBx%2B0yimEaPf%2BLiIiInIuDm%2BwqqurAQAGg8Fqm8FgwMWLF5WzTdXV1ejSpQt8fHws4jQaDby9vVFVVWWRt72cAJTY6upqSJLUbuyvc/bo0eOmOYmIiMi5ObzBMplMAAA3NzerbVqt1iLGZDLB1dXVZh6tVqvEtcW2l1MIYZHzRvu/1ZzX5yIiIiLn5vAGy93dHQDQ2Nhota2hocEixt3dHU1NTTbzNDQ0KHFtse3llCTJIueN9n%2BrOa/PRURERM7Nrr8ivBVtl9faLhVer7q6Gnq9HhqNRoltaWlBbW2txWVCs9mMCxcuICAgwCJvezkBKLEGgwFCiHZjf53z888/v2nO9pQf2IguWg%2BLMf2gUOgfCr3h%2B4iIiOjGdu7ciZ07d1qMXb582UGz6QANVkBAAHx9fVFcXGy1raioCEajUfnbaDRCCIHi4mKMHTtWGT9y5AhaW1utYr/88kurnIcPH0bXrl0RGBgIABg8eDBcXFxQXFyMqKgoJc5sNqOkpASxsbEWObdu3YrTp09b3Oh%2B%2BPBhSJJksX9bekU8j67%2B/W8YQ0RERLcvLi4OcXFxFmPHjh2z%2BhHbneLwS4QAMHXqVHz00UeorKxUxg4ePIjS0lKLh32GhYVBr9cjNzfX4v25ubnw8PDA%2BPHjlbGoqCjU1NRgz549ylhtbS127dqFSZMmKWfFvLy8EB4ejry8PIsnt2/fvh1Xr1612P/kyZPh4uKCnJwci/1v2LABPXv2REhIyO%2BsBBEREXUGdj%2BD9de//hW//PKL0jzt27cP5eXlAIDk5GR4enpiyZIl2LVrF0JDQ7FgwQLU1dUhMzMTDz/8MJ577jkll1arRVpaGubNm4eYmBhERkbiiy%2B%2BwDvvvIOMjAx0795diY2KikJWVhZmzpyJU6dOwcfHBzk5OWhtbcVrr71mMcf09HSMHj0aY8aMQWJiIsrLy7F27VpERkYiIiJCievZsydefPFFZGZmoqmpCSNHjsTevXvx1Vdf4Z133uFDRomIiAjAHWiwMjMz8dNPPwEAJEnC3r17sXfvXgDA9OnT4enpiXvvvReHDh1CSkoKFi9eDFdXV0yYMAGZmZnKmaY2SUlJcHV1xZo1a/Dhhx%2BiV69eyMrKwvz58y3iZFnGJ598goULF2L9%2BvUwmUwIDg7G9u3bMWDAAIvYYcOGoaCgAKmpqUhJSYGnpycSEhKQkZFhtZ7XX38der0eGzduxNtvv40BAwZgx44dFpcSiYiIyLlJQgjh6El0dm3XgAfOWn/X3IP1f2unYmV6GlJSUhw9FSIiot%2Bk7fv36NGjNh8%2Bbk8d4h4sIiIios6EDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamMDRYRERGRythgEREREamsQzRYhw4dgizLVq8uXbqgqKjIIvb06dMYO3YsPD094e3tjfj4eNTW1trMu3XrVgwaNAju7u4IDAxEdna2zbjLly8jMTERfn5%2B0Ol0CAsLw/Hjx23Gfv3113j00Ufh4eEBg8GABQsW4OrVq7%2BvAERERNSpuDh6Atd78cUXMWLECIux/v37K/%2BurKzEY489hnvuuQcrV65EXV0dVq9ejZMnT6KoqAguLv9bzsaNG5GUlITo6Gj8%2Bc9/xj//%2BU8kJyfDZDJh4cKFSpwQAk8%2B%2BSROnDiBRYsWwdvbGzk5OQgNDcWxY8dw//33K7ElJSUIDw/HoEGDsG7dOlRUVGD16tU4e/Ys9u/fb8fKEBER0d2kQzVYjz76KJ5%2B%2Bul2t6enp8NkMqGkpAQ9e/YEAIwcORIRERHYtm0b5syZAwBoaGjAyy%2B/jIkTJyI/Px8AMHv2bLS0tCAtLQ2JiYno1q0bAOD9999HYWEhdu/ejaeeegoAEB0djcDAQCxduhR5eXnK/pcsWQK9Xo9Dhw7Bw8MDANC7d28kJiaioKAA4eHh6heFiIiI7jod4hLh9err69HS0mJz2549ezBhwgSluQKAJ554AoGBgXjvvfeUsc8%2B%2BwwXL17E3LlzLd7/wgsvoL6%2B3uJs0%2B7du%2BHv7680VwDg4%2BODmJgYfPDBBzCbzQCAuro6FBQUYPr06UpzBQDx8fHw8PCw2D8RERE5tw7VYM2cORNeXl7QarUICwvD0aNHlW1VVVU4f/681SVEAAgODra4Z6rt30FBQRZxQUFBkGXZKnb48OE2c167dg2lpaUAgBMnTqC5udkqp0ajgdFobPeeLSIiInI%2BHaLBcnV1RVRUFN544w3s27cP6enpOHnyJMaMGYNvv/0WAFBdXQ0AMBgMVu83GAy4ePGicrapuroaXbp0gY%2BPj0WcRqOBt7c3qqqqlLHq6up2cwJQYqurqyFJUrux1%2BckIiIi59Yh7sEaNWoURo0apfw9YcIETJ06FUOHDsXixYvx8ccfw2QyAQDc3Nys3q/VagEAJpMJGo0GJpMJrq6uNvel1WqVXG3vaS%2BnEEKJvdn%2Br89JREREzq1DnMGy5f7778fkyZPx2WefQQgBd3d3AEBjY6NVbENDAwAoMe7u7mhqarKZt6GhQYlri20vpyRJFjlvtP/rcxIREZFz6xBnsNrTq1cvNDU14erVq8qlubZLhderrq6GXq%2BHRqMB8N9Ldi0tLaitrbW4TGg2m3HhwgUEBAQoYwaDod2cAJRYg8EAIUS7sdfnbE/5gY3oovWwGNMPCoX%2BodCbvpeIiIjat3PnTuzcudNi7PLlyw6aTQdvsH788UdotVrodDrodDr4%2BvqiuLjYKq6oqAhGo1H522g0QgiB4uJijB07Vhk/cuQIWltbrWK//PJLq5yHDx9G165dERgYCAAYPHgwXFxcUFxcjKioKCXObDajpKQEsbGxN11Pr4jn0dW//03jiIiI6PbExcUhLi7OYuzYsWNWP067UzrEJUJbT2L/9ttv8eGHHyIyMlIZmzp1Kj766CNUVlYqYwcPHkRpaSliYmKUsbCwMOj1euTm5lrkzM3NhYeHB8aPH6%2BMRUVFoaamBnv27LGYz65duzBp0iTlrJiXlxfCw8ORl5dn8eT27du34%2BrVqxb7JyIiIufWIc5gxcbGwt3dHSEhIfDz88OpU6ewefNm6HQ6rFixQolbsmQJdu3ahdDQUCxYsAB1dXXIzMzEww8/jOeee06J02q1SEtLw7x58xATE4PIyEh88cUXeOedd5CRkYHu3bsrsVFRUcjKysLMmTNx6tQp%2BPj4ICcnB62trXjttdcs5pmeno7Ro0djzJgxSExMRHl5OdauXYvIyEhERETYu0xERER0l%2BgQDdZTTz2FHTt2YN26dbhy5Qp8fX0RFRWFV199Ff369VPi7r33Xhw6dAgpKSlYvHgxXF1dMWHCBGRmZipnmtokJSXB1dUVa9aswYcffohevXohKysL8%2BfPt4iTZRmffPIJFi5ciPXr18NkMiE4OBjbt2/HgAEDLGKHDRuGgoICpKamIiUlBZ6enkhISEBGRob9ikNERER3HUkIIRw9ic6u7RrwwFnr75p7sP5v7VSsTE9DSkqKo6dCRET0m7R9/x49etTmQ8XtqUPcg0VERETUmbDBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZGywiIiIilbHBIiIiIlIZG6zb1NTUhNTUVPTs2RNdu3bFI488goKCAkdPi4iIiDoQNli3acaMGcjKysL06dPx5ptvwsXFBU8%2B%2BSS%2B/vprR0%2BNiIiIOgg2WLehqKgI%2Bfn5WLlyJVauXIk5c%2Bbg4MGD6N27NxYtWuTo6d11du7c6egpdCishzXWxBLrYY01scR6dBxssG7Drl274OLigoSEBGXMzc0Ns2fPRmFhISorKx04u7sPDwSWWA9rrIkl1sMaa2KJ9eg42GDdhpKSEgQGBkKn01mMBwcHK9uJiIiI2GDdhurqahgMBqtxg8EAIQSqqqocMCsiIiLqaNhg3QaTyQQ3Nzerca1Wq2wnIiIicnH0BO4m7u7uaGxstBpvaGhQttvS1nid25%2BFLq62Yzoac2MDfvjhB%2BzYscNu%2B6ioqFA9vyzLaG1tVTWnPV0/X3vUwx7uZI3Vqsnd9rkAbM%2B5I39GHFXj31OTzvK5uF5H/Iz4%2BPjA19fXIfv%2B/vvvATjoBIigWxYRESEeeughq/GDBw8KSZLERx99ZPN9eXl5AgBffPHFF1988eWAV15enr1bBCs8g3UbjEYjPv/8c9TX11vc6H748GFIkgSj0WjzfZGRkcjLy0OfPn3aPctFRERE6jKZTDh37hwiIyPv%2BL4lIYS443u9SxUVFeGRRx5BZmYmUlJSAPz3ye6DBw%2BGr68vvvrqKwfPkIiIiDoCnsG6DcHBwYiOjsbixYtRU1OD/v37Y9u2bSgrK8Nbb73l6OkRERFRB8EzWLepqakJr7zyCvLy8nDp0iUMHToUy5cvR3h4uKOnRkRERB0EGywiIiIilfE5WEREREQqY4NlR01NTUhNTUXPnj3RtWtXPPLIIygoKHD0tFRVXFyMefPmYfDgwdDpdOjduzdiY2Nx5swZq9jTp09j7Nix8PT0hLe3N%2BLj41FbW2sz79atWzFo0CC4u7sjMDAQ2dnZ9l6K3aSnp0OWZQwdOtRqmzPV5NixY5g0aRK8vb3h4eGBIUOGWK3BWepx9uxZPPPMM%2BjVqxc8PDwwcOBApKWlWT2rpzPW4%2BrVq1i6dCnGjRsHb29vyLKM7du324y1x/ovX76MxMRE%2BPn5QafTISwsDMePH1dtfb/FrdRECIFt27Zh8uTJuO%2B%2B%2B6DT6TBkyBCkp6fbfD4j0Plr8mvNzc0YNGgQZFnG2rVrbcbc0Zrc8QdDOJFnnnlGuLq6itTUVLF582YxevRoodFoxFdffeXoqakmKipKBAQEiAULFoitW7eK9PR04e/vL3Q6nTh16pQSV1FRIXx8fMSAAQNEdna2WLFihdDr9WLYsGHCbDZb5NywYYOQJEnExMSILVu2iBkzZghJksSqVavu9PJ%2Bt4qKCuHh4SE8PT3FkCFDrLY5S03%2B/ve/Czc3NzFq1CiRlZUltmzZIhYvXixSU1OVGGepR3l5uejevbvo27eveP3118XmzZvFrFmzhCRJYsqUKUpcZ63HuXPnhCRJok%2BfPiIsLEzIsizefvttqzh7rL%2B1tVWEhIQIT09PkZaWJnJycsTgwYOFl5eXOHv2rF3XfSO3UpP6%2BnohSZIICQkRGRkZYsuWLWL27NmiS5cuIiwszCqnM9Tk19asWSN0Op2QZVmsWbPGavudrgkbLDv55ptvhCRJYu3atcpYQ0OD6N%2B/vxg9erQDZ6auwsJCq4PdmTNnhFarFdOnT1fGkpKShIeHh6ioqFDGCgoKhCRJYvPmzcqYyWQSPj4%2BYtKkSRY5n332WeHp6Sl%2B%2BeUXO63EPmJjY0V4eLgIDQ21arCcpSZXrlwR/v7%2BIioq6oZxzlKP9PR0Icuy%2BP777y3GZ8yYIWRZVubfWevR1NQkampqhBBCFBcXC0mSbH5x2mP9%2Bfn5QpIksWfPHmXs559/Fvfcc4/405/%2BpNoab9et1KSpqUkUFhZavXfZsmVClmVx8OBBZcxZanK9mpoa0b17d7F8%2BXIhSZJVg%2BWImrDBspOFCxcKjUYj6urqLMZXrFghZFm2OGh0RkFBQWLEiBHK3z169BCxsbFWcQ888ICIiIhQ/v7444%2BFLMvi008/tYgrLCwUkiSJHTt22G/SKjt06JDQaDTi5MmTNhssZ6lJbm6ukGVZ/PDDD0IIIa5evSpaW1ut4pylHi%2B99JKQZVlcuHDBYjw1NVW4uLiIa9euCSGcox43%2BuK0x/pjYmKEwWCwyvn8888LnU4nmpqafs9yVHErzcT1Tpw4ISRJEtnZ2cqYM9Zk5syZYtSoUeLf//63zQbLETXhPVh2UlJSgsDAQIsnvgP/fZZW2/bOrKamBj4%2BPgCAqqoqnD9/HiNGjLCKCw4Otriu3fbvoKAgi7igoCDIsuzw%2BwJuVWtrK5KTk5GQkICHHnrIarsz1eTgwYPw8vJCeXk5HnzwQeh0Onh5eWHu3LnKvSPOVI/Q0FAIITBr1ix8%2B%2B23qKioQH5%2BPjZs2IAFCxbA3d3dqephi73Wf/z4cQwfPtxmzmvXrqG0tFStJdwx1dXVAKAcbwHnq0lRURG2b9%2BOrKwsSJJkM8YRNWGDZSfV1dUwGAxW4waDAUIIVFVVOWBWd0ZeXh4qKyvxzDPPAPjfAaC9ely8eBFms1mJ7dKli8XBAgA0Gg28vb3vmrrl5ubip59%2BQlpams3tzlSTM2fOwGw2Y/LkyRg3bhz27NmD2bNnY8OGDZg1axYA56pHZGQk0tLScODAAQwbNgz33Xcfpk2bhuTkZGRmZgJwrnrYYq/13%2Bi4DOCurNWqVavQrVs3jBs3ThlztprMnz8fcXFxygkMWxxREz7J3U5MJhPc3NysxrVarbK9Mzp9%2BjTmzZuH0aNHIz4%2BHsD/1nqzemg0GphMJri6utrMrdVq74q6Xbx4EUuXLsWrr74KvV5vM8aZalJfXw%2BTyYSkpCSsW7cOADBlyhQ0NjZi06ZNWLZsmVPVAwD69OmDxx9/HFFRUdDr9di/fz/S09Ph7%2B%2BPuXPnOl09fs1e67/RcVkIcdfVKiMjA//4xz%2BQm5sLLy8vZdyZavLWW2/h1KlT2Lt37w3jHFETNlh24u7ubvOnsw0NDcr2zqampgbjx4/HPffcg/fff185Vdu21luph7u7O5qammzmb2houCvq9pe//AXe3t6YN29euzHOVJO2%2BbWd0Wwzbdo0bNy4EYWFhRg4cCAA56jHu%2B%2B%2Bi8TERJw9e1b5H/GUKVPQ0tKC1NRUxMXFOdXnwxZ7rf9Gx2VJku6qWuXn5%2BOVV17BnDlzkJiYaLHNWWpSV1eHJUuWYNGiRQgICLhhrCNqwkuEdmIwGJTT3NdrG7vZh%2BFuc%2BXKFYwdOxZXrlzBp59%2BCn9/f2Vb25dIe/XQ6/XQaDRKbEtLi9WzbsxmMy5cuNDh63b27Fls3rwZycnJqKysRFlZGc6dO4eGhgaYzWaUlZXh0qVLTlWTtvn16NHDYtzPzw8AnK4eubm5GD58uNUliEmTJuHatWs4fvy4U9XDFnutv7Mclw8cOIAZM2Zg4sSJyM3NtdruLDVZvXo1zGYzYmJiUFZWhrKyMpSXlwP473GlrKxMuZTsiJqwwbITo9GI0tJS1NfXW4wfPnwYkiTBaDQ6aGbqa2xsxIQJE3D27Fns378fDzzwgMX2gIAA%2BPr6ori42Oq9RUVFFrUwGo0QQljFHjlyBK2trR2%2BbpWVlRBCIDk5GX379kXfvn3Rr18/fPPNN/jhhx/Qr18/pKWlOVVN2m4qraystBhvu4/Bz8/PqepRU1ODlpYWq3Gz2QwhBJqbm52qHrbYa/1GoxHHjh2zynn48GF07doVgYGBKq7CPr755hs8/fTTCA4ORn5%2BPmTZ%2BmvcWWpSXl6OS5cuYdCgQcrxdsyYMZAkCenp6ejXrx%2B%2B//57AA6qyS391pBuW9tzsK7/qWhjY6MYMGCACAkJceDM1NXS0iImTZokXF1drX7%2Ber0bPdNm06ZNypjJZBLe3t42n1Wi0%2BnEpUuX1F%2BEimpra8UHH3xg9Ro8eLDo06eP2Ldvnzh58qQQwnlqcvz4cSFJknj22WctxuPi4oSrq6uorq4WQjhPPSZOnCi0Wq04c%2BaMxfiUKVOEi4uLU9Xjtz4H67euPz8/X8iyLHbv3q2MtT3faNq0aWou7Te7UU2%2B%2B%2B474ePjI4YOHXrD55s5S02OHz9udazdvHmzkCRJzJo1S%2Bzbt09cuXJFCOGYmrDBsqOYmBjh6uoqFi1aJDZt2iRCQkKEq6ur%2BPLLLx09NdUsWLBASJIkJk%2BeLPLy8qxebcrLy4Wvr6/o37%2B/WL9%2BvcjIyBB6vV4YjUarZ4rk5OQIWZZFdHS02LJli4iPjxeyLIuVK1fe6eWpxtZzsJypJrNnzxayLIvY2FiRk5MjoqOjhSzL4uWXX1ZinKUeX3zxhdBoNKJHjx7KU6LHjRsnZFkWzz//vBLXmeuRnZ0tli9fLpKSkoQkSWLq1Kli%2BfLlYvny5coXoj3W39LSIkaNGiW8vLzEsmXLlCd0d%2BvWTZSWlt6x9dtys5rU1dWJXr16CRcXF7Fq1SqrY%2B2vH0LqDDWxpe0J8Lae5H6na8IGy44aGxvFokWLREBAgHB3dxd/%2BMMfxIEDBxw9LVWFhoYKWZbbfV3vu%2B%2B%2BE2PHjhU6nU7o9XoRHx8vzp8/bzPvli1bxMCBA4VWqxUDBgwQb7755p1Yjt2EhoaKoUOHWo07S02am5vFsmXLRN%2B%2BfYWbm5sIDAy0OX9nqceRI0fE%2BPHjRUBAgHBzcxMPPvigWLlypWhpabGI66z16NOnT7vHjLKyMiXOHuv/5ZdfREJCgvD19RU6nU6EhYWJY8eO2WWdt%2BNmNTl37twNj7UzZ860ytnZa2JLW51sNVhC3NmaSEII8duvgBIRERHRr/EmdyIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKVscEiIiIiUhkbLCIiIiKV/T%2BoUuXXIj1AYQAAAABJRU5ErkJggg%3D%3D\"/>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common8506900693810133129\">\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.12</td>\n",
-       "        <td class=\"number\">31951</td>\n",
-       "        <td class=\"number\">7.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.23</td>\n",
-       "        <td class=\"number\">15390</td>\n",
-       "        <td class=\"number\">3.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.15</td>\n",
-       "        <td class=\"number\">14680</td>\n",
-       "        <td class=\"number\">3.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.11</td>\n",
-       "        <td class=\"number\">14164</td>\n",
-       "        <td class=\"number\">3.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.13</td>\n",
-       "        <td class=\"number\">13612</td>\n",
-       "        <td class=\"number\">3.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.14</td>\n",
-       "        <td class=\"number\">11532</td>\n",
-       "        <td class=\"number\">2.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.25</td>\n",
-       "        <td class=\"number\">10769</td>\n",
-       "        <td class=\"number\">2.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.26</td>\n",
-       "        <td class=\"number\">9697</td>\n",
-       "        <td class=\"number\">2.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.24</td>\n",
-       "        <td class=\"number\">9461</td>\n",
-       "        <td class=\"number\">2.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.22</td>\n",
-       "        <td class=\"number\">8848</td>\n",
-       "        <td class=\"number\">2.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (3546)</td>\n",
-       "        <td class=\"number\">287658</td>\n",
-       "        <td class=\"number\">67.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme8506900693810133129\">\n",
-       "            <p class=\"h4\">Minimum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">3194</td>\n",
-       "        <td class=\"number\">0.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:63%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.01</td>\n",
-       "        <td class=\"number\">516</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.02</td>\n",
-       "        <td class=\"number\">1531</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.03</td>\n",
-       "        <td class=\"number\">3377</td>\n",
-       "        <td class=\"number\">0.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:67%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.04</td>\n",
-       "        <td class=\"number\">5036</td>\n",
-       "        <td class=\"number\">1.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "            <p class=\"h4\">Maximum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">615.65</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">624.89</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">627.26</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1299.75</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1305.22</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>AGPRE_ENRD</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>AGPRE_EXPD</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">AG_PRESERV<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>2</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2069961741249893842\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>N</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 99.9%\">\n",
-       "            427518\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Y</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        244\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2069961741249893842, #minifreqtable2069961741249893842\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2069961741249893842\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">N</td>\n",
-       "        <td class=\"number\">427518</td>\n",
-       "        <td class=\"number\">99.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Y</td>\n",
-       "        <td class=\"number\">244</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">BASEMENT<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>3</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>74.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>316342</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-2379317844936297392\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Y</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:32%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 23.9%\">\n",
-       "            102226\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>N</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 2.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        9194\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 74.0%\">\n",
-       "            316342\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-2379317844936297392, #minifreqtable-2379317844936297392\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-2379317844936297392\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Y</td>\n",
-       "        <td class=\"number\">102226</td>\n",
-       "        <td class=\"number\">23.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:32%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">N</td>\n",
-       "        <td class=\"number\">9194</td>\n",
-       "        <td class=\"number\">2.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">316342</td>\n",
-       "        <td class=\"number\">74.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">BLDG_NUM<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>21678</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>5.1%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-2005599692850280209\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>40</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1420\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>61</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1365\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>34</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1208\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (21675)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 99.1%\">\n",
-       "            423769\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-2005599692850280209, #minifreqtable-2005599692850280209\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-2005599692850280209\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">40</td>\n",
-       "        <td class=\"number\">1420</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">61</td>\n",
-       "        <td class=\"number\">1365</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">34</td>\n",
-       "        <td class=\"number\">1208</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">76</td>\n",
-       "        <td class=\"number\">1059</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">200</td>\n",
-       "        <td class=\"number\">1056</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">401</td>\n",
-       "        <td class=\"number\">1037</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">48</td>\n",
-       "        <td class=\"number\">883</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">24</td>\n",
-       "        <td class=\"number\">733</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">38</td>\n",
-       "        <td class=\"number\">730</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">121</td>\n",
-       "        <td class=\"number\">689</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (21668)</td>\n",
-       "        <td class=\"number\">417582</td>\n",
-       "        <td class=\"number\">97.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">BLOCK<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>218</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.1%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>28.6%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>122493</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-127071441036751440\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>001</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:77%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 22.1%\">\n",
-       "            94328\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>002</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:51%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 14.5%\">\n",
-       "            62154\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>003</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:31%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 8.9%\">\n",
-       "            38189\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (214)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:90%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 25.9%\">\n",
-       "            110598\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 28.6%\">\n",
-       "            122493\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-127071441036751440, #minifreqtable-127071441036751440\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-127071441036751440\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">001</td>\n",
-       "        <td class=\"number\">94328</td>\n",
-       "        <td class=\"number\">22.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:77%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">002</td>\n",
-       "        <td class=\"number\">62154</td>\n",
-       "        <td class=\"number\">14.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:51%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">003</td>\n",
-       "        <td class=\"number\">38189</td>\n",
-       "        <td class=\"number\">8.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">004</td>\n",
-       "        <td class=\"number\">25942</td>\n",
-       "        <td class=\"number\">6.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">005</td>\n",
-       "        <td class=\"number\">16604</td>\n",
-       "        <td class=\"number\">3.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">006</td>\n",
-       "        <td class=\"number\">12875</td>\n",
-       "        <td class=\"number\">3.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">007</td>\n",
-       "        <td class=\"number\">9356</td>\n",
-       "        <td class=\"number\">2.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:8%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">008</td>\n",
-       "        <td class=\"number\">7650</td>\n",
-       "        <td class=\"number\">1.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">009</td>\n",
-       "        <td class=\"number\">4984</td>\n",
-       "        <td class=\"number\">1.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">010</td>\n",
-       "        <td class=\"number\">4319</td>\n",
-       "        <td class=\"number\">1.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (207)</td>\n",
-       "        <td class=\"number\">28868</td>\n",
-       "        <td class=\"number\">6.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">122493</td>\n",
-       "        <td class=\"number\">28.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">CITY<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>47</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-4320576394636376111\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>MINNEAPOLIS</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:54%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 30.4%\">\n",
-       "            129889\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>BLOOMINGTON</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:13%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 7.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        31217\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>PLYMOUTH</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:12%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 6.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        26820\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (44)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 56.1%\">\n",
-       "            239836\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-4320576394636376111, #minifreqtable-4320576394636376111\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-4320576394636376111\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MINNEAPOLIS</td>\n",
-       "        <td class=\"number\">129889</td>\n",
-       "        <td class=\"number\">30.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">BLOOMINGTON</td>\n",
-       "        <td class=\"number\">31217</td>\n",
-       "        <td class=\"number\">7.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PLYMOUTH</td>\n",
-       "        <td class=\"number\">26820</td>\n",
-       "        <td class=\"number\">6.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MAPLE GROVE</td>\n",
-       "        <td class=\"number\">25690</td>\n",
-       "        <td class=\"number\">6.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">BROOKLYN PARK</td>\n",
-       "        <td class=\"number\">24226</td>\n",
-       "        <td class=\"number\">5.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">EDEN PRAIRIE</td>\n",
-       "        <td class=\"number\">22646</td>\n",
-       "        <td class=\"number\">5.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">EDINA</td>\n",
-       "        <td class=\"number\">21352</td>\n",
-       "        <td class=\"number\">5.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MINNETONKA</td>\n",
-       "        <td class=\"number\">20704</td>\n",
-       "        <td class=\"number\">4.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">ST. LOUIS PARK</td>\n",
-       "        <td class=\"number\">17702</td>\n",
-       "        <td class=\"number\">4.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">RICHFIELD</td>\n",
-       "        <td class=\"number\">11918</td>\n",
-       "        <td class=\"number\">2.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (37)</td>\n",
-       "        <td class=\"number\">95598</td>\n",
-       "        <td class=\"number\">22.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:73%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">CITY_USPS<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>49</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>3.1%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>13287</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-995304339344312923\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>MINNEAPOLIS</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:56%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 30.2%\">\n",
-       "            129317\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>BLOOMINGTON</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 7.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        31073\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>PLYMOUTH</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:11%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 5.9%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        25320\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (45)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 53.5%\">\n",
-       "            228765\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-995304339344312923, #minifreqtable-995304339344312923\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-995304339344312923\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MINNEAPOLIS</td>\n",
-       "        <td class=\"number\">129317</td>\n",
-       "        <td class=\"number\">30.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">BLOOMINGTON</td>\n",
-       "        <td class=\"number\">31073</td>\n",
-       "        <td class=\"number\">7.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PLYMOUTH</td>\n",
-       "        <td class=\"number\">25320</td>\n",
-       "        <td class=\"number\">5.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MAPLE GROVE</td>\n",
-       "        <td class=\"number\">24635</td>\n",
-       "        <td class=\"number\">5.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">BROOKLYN PARK</td>\n",
-       "        <td class=\"number\">23321</td>\n",
-       "        <td class=\"number\">5.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">EDEN PRAIRIE</td>\n",
-       "        <td class=\"number\">21220</td>\n",
-       "        <td class=\"number\">5.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">EDINA</td>\n",
-       "        <td class=\"number\">20752</td>\n",
-       "        <td class=\"number\">4.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">ST. LOUIS PARK</td>\n",
-       "        <td class=\"number\">17639</td>\n",
-       "        <td class=\"number\">4.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MINNETONKA</td>\n",
-       "        <td class=\"number\">17634</td>\n",
-       "        <td class=\"number\">4.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">RICHFIELD</td>\n",
-       "        <td class=\"number\">11863</td>\n",
-       "        <td class=\"number\">2.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (38)</td>\n",
-       "        <td class=\"number\">91701</td>\n",
-       "        <td class=\"number\">21.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:71%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">13287</td>\n",
-       "        <td class=\"number\">3.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">COOLING<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>5</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>63.2%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>270248</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2650201944640825217\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Forced Air</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:48%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 30.1%\">\n",
-       "            128846\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>N</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:9%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 5.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        24134\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Unknown</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 1.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        4320\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 63.2%\">\n",
-       "            270248\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2650201944640825217, #minifreqtable2650201944640825217\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2650201944640825217\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Forced Air</td>\n",
-       "        <td class=\"number\">128846</td>\n",
-       "        <td class=\"number\">30.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:48%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">N</td>\n",
-       "        <td class=\"number\">24134</td>\n",
-       "        <td class=\"number\">5.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Unknown</td>\n",
-       "        <td class=\"number\">4320</td>\n",
-       "        <td class=\"number\">1.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Y</td>\n",
-       "        <td class=\"number\">214</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">270248</td>\n",
-       "        <td class=\"number\">63.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>COUNTY_ID</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td>053</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>DWELL_TYPE</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">EMV_BLDG<br/>\n",
-       "            <small>Numeric</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>12417</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>2.9%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "\n",
-       "                <tr>\n",
-       "                    <th>Mean</th>\n",
-       "                    <td>186280</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>552460000</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"alert\">\n",
-       "                    <th>Zeros (%)</th>\n",
-       "                    <td>8.4%</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-6326444397189143252\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABNRJREFUeJzt3E1IG2kcx/HfTIwY1tSoUZpDQqxbS9FFEWoPoSp4kEIOvQliVRBfLtKDYEVYRaQXDwXxYk9StZelojf14s2LfbkUGgktiZHSaqKIr0vQPnvpurh0/zVrfcbA7wO5DDN5/oH5mkwSA2WB6elpBYA33lK6TU9Paz9XM2ABv98PAOjt7YXX6z33cVVVVcjIsGRkslAoFEJTU9PpeaOTJWebw%2BEAAIyMjKR03MDAAIaGhi5jJEoDf583Oln65/jXhmE4Cv3n2jfyx%2B%2BIx%2BOXOxDRv1gaiP0XFzKd7nPta9r40or0M60egOgqYyBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkYCBEAgZCJGAgRAIGQiRgIEQCBkIkyLBi0aOjIwBAeLIHhnm%2BRo%2BTf%2BLLl9/w4sWLlNYyTRNfv369csdc1bl0HuN2u1FQUPDD/UKhEIB/zhudLAkkGo0CAE6OkykdNzs7i9nZ2UuYiNJBNBpFIBDQuqahlFJaVwSQSCSwuLgIv98Ph8Ohe3lKM0dHR4hGo6ivr4fb7da6tiWBEKULXqQTCRgIkUB7IB8%2BfEAgEMCtW7dw9%2B7d03coiL4nmUyiu7sbJSUlKC8vR3Nzs9b1tb%2BL1dnZia6uLjx8%2BBAzMzNoaWnBysqK7jEoTTx%2B/BimaSIcDgMANjc3ta6v9SI9Ho/j5s2b2N7ehvnt8w%2BPx4Pl5WXcuHFD1xiUJg4PD%2BHxePDp0ydkZ2dbMoPWl1jr6%2BvweDyncQCAz%2BdDLBbTOQaliY8fPyIvLw9PnjzBnTt3UFNTg6WlJa0z8CKdrqzj42Osra2hrKwMr169wujoKBoaGhCPx7XNoDUQr9eLz58/n/lKQiwWg8/n0zkGpQmfzwebzYbGxkYAQEVFBYqKivDu3TttM2gNpKCgAJWVlZiamgIAvHz5El6vl9cf9F35%2Bfmoq6vDwsICACASiSAajeL27dvaZtD%2BSXo4HEZrayu2traQk5ODiYkJlJaW6hyB0kgkEkFbWxsSiQRsNhsGBwfx4MEDbevzqyZEAl6kEwkYCJGAgRAJGAiRgIEQCRgIkYCBUEoODg4wODiI%2B/fvIz8/H6ZpYnJy8kL3%2BebNGwSDQXg8HjidTpSXl2NsbCzlH4G4DAyEUpJIJDA8PIzV1VVUVFTAMIwL3d/bt28RCAQQi8XQ19eHp0%2Bfori4GI8ePUJPT89PmvoCFFEKksmk2tjYUEop9fr1a2UYhnr%2B/Pn/vr/29naVlZWldnZ2zmyvqalRLpfrQrP%2BDHwGoZTY7XYUFhaea9/5%2BXlUV1cjOzsb165dQzAYxPv378/ss7e3h6ysLOTk5JzZfv369SvxizcMhC7F1NQUgsEgnE4nRkZGMDAwgFAohHv37p35/5/a2lrs7u6io6MDq6uriMViGB8fx9zcHPr7%2By18BN9Y/RRG6eu/XmLt7%2B%2Br3Nxc1dXVdWb75uamcrlcqrOz83TbycmJ6u7uVpmZmcowDGUYhrLb7erZs2daHsOP/AVPq6wNX4cSogAAAABJRU5ErkJggg%3D%3D\">\n",
-       "\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-6326444397189143252,#minihistogram-6326444397189143252\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives-6326444397189143252\">\n",
-       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
-       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-6326444397189143252\"\n",
-       "                                                  aria-controls=\"quantiles-6326444397189143252\" role=\"tab\"\n",
-       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#histogram-6326444397189143252\" aria-controls=\"histogram-6326444397189143252\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#common-6326444397189143252\" aria-controls=\"common-6326444397189143252\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#extreme-6326444397189143252\" aria-controls=\"extreme-6326444397189143252\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
-       "\n",
-       "    </ul>\n",
-       "\n",
-       "    <div class=\"tab-content\">\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-6326444397189143252\">\n",
-       "            <div class=\"col-md-4 col-md-offset-1\">\n",
-       "                <p class=\"h4\">Quantile statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Minimum</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>5-th percentile</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q1</th>\n",
-       "                        <td>75000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Median</th>\n",
-       "                        <td>114700</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q3</th>\n",
-       "                        <td>173800</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>95-th percentile</th>\n",
-       "                        <td>396800</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Maximum</th>\n",
-       "                        <td>552460000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Range</th>\n",
-       "                        <td>552460000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Interquartile range</th>\n",
-       "                        <td>98800</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "            <div class=\"col-md-4 col-md-offset-2\">\n",
-       "                <p class=\"h4\">Descriptive statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Standard deviation</th>\n",
-       "                        <td>1334900</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Coef of variation</th>\n",
-       "                        <td>7.1659</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Kurtosis</th>\n",
-       "                        <td>71710</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Mean</th>\n",
-       "                        <td>186280</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>MAD</th>\n",
-       "                        <td>147160</td>\n",
-       "                    </tr>\n",
-       "                    <tr class=\"alert\">\n",
-       "                        <th>Skewness</th>\n",
-       "                        <td>200.8</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Sum</th>\n",
-       "                        <td>79684000000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Variance</th>\n",
-       "                        <td>1781900000000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Memory size</th>\n",
-       "                        <td>3.3 MiB</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-6326444397189143252\">\n",
-       "            <img 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1thV6vlzwmbG5uRmVlJRwdHcUxjUbTYU0AYlaj0UAQhA6zP6158uTJB9a8n9JPUmFhrZKM2bv5wH6kzwPPJSIioo7t3bsXe/fulYxVV1d302o6qcEqLy%2BHIAiIjo7G0qVLTY4PHToUMTEx2LJlC/r374%2BCggKTzBdffAF3d3fxe3d3dwiCgIKCAgQGBorjFy5cgNFoNMmeOXPGpGZ%2Bfj569%2B4NV1dXAMCoUaOgUChQUFCAkJAQMdfc3Izi4mLMmDFDUjMtLQ0lJSWSF93z8/Mhk8kk83fE2X9hj9imgYiIqKcJCwtDWFiYZKxtm4bu0CmPCEeNGoUDBw7gwIEDOHjwoPhv5MiRGDx4MA4ePIj58%2BcDAF5%2B%2BWV89NFH4p0u4O4%2BWNeuXZNs9unr6wt7e3ukpKRI5kpJSYFKpcKUKVPEsZCQENy%2BfRv79%2B8Xx/R6PbKzsxEcHCzeFevTpw/8/PyQkZEh2bk9PT0ddXV1kvmnTZsGhUKB5ORkyfw7d%2B6Ek5MTvL29f8klIyIiosdIp9zBUqvVCA4ONhnfunUrZDIZXnrpJXEsLi4O2dnZ8PHxQUxMDGpqapCYmIjRo0dj7ty5Ys7a2hrr1q1DVFQUtFotAgICcOrUKWRmZmL9%2BvXo27evmA0JCUFSUhLmzZuHK1euwMHBAcnJyTAajVi7dq1kTfHx8Rg/fjwmTpyIiIgIlJaWYsuWLQgICIC/v7%2BYc3JywrJly5CYmIimpiaMGzcOBw4cwNmzZ5GZmdnhJqNERET05OmUBut%2BftqIPPXUU/jss8%2BwYsUK/OEPf4CVlRWmTp2KxMRE8U5Tm8jISFhZWWHz5s04dOgQnJ2dkZSUZPIYUi6X48iRI4iNjcX27dthMBjg5eWF9PR0uLi4SLJjxoxBXl4eVq9ejRUrVsDW1hYLFizA%2BvXrTdaekJAAe3t7pKamYvfu3XBxccGePXskjxKJiIiIuuSjcp50/KgcIiKirvdYf1QOERER0ZOGDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmbLCIiIiIzIwNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMw6rcH68ssvodVqMWzYMKhUKvTv3x%2BTJk3CRx99JMnNmzcPcrnc5J%2Bbm1u7ddPS0uDm5galUglXV1fs2LGj3Vx1dTUiIiIwYMAA2NjYwNfXF0VFRe1mz507hwkTJkClUkGj0SAmJgZ1dXUmOUEQsHHjRgwdOhRKpRKjR4/Gvn37HvHKEBER0eNO0VmFv/32W9TW1mLu3LlwdHREfX09cnJyEBwcjF27duG1114Ts9bW1khLS4MgCOKYnZ2dSc3U1FRERkYiNDQUK1euxOnTpxEdHQ2DwYDY2FgxJwgCgoKCcPnyZaxatQpqtRrJycnw8fFBYWEhhg0bJmaLi4vh5%2BcHNzc3bN26FWVlZdi0aRNu3LiBw4cPS%2BaPi4tDQkICFi5cCE9PT%2BTm5mLWrFmQy%2BXQarXmvHxERETUg8mEe7uaTiYIAsaOHYvGxkZ8%2BeWXAO7ewcrJycGdO3fue25DQwOcnZ3h7e2N3NxccTw8PBy5ubkoLS0Vm7KsrCzMnDkTOTk5mD59OgBAr9fD1dUVQUFByMjIEM8PCgrCpUuXcPXqVahUKgB375JFRETg2LFj8PPzAwBUVFRgyJAhWLRoEbZt2yaeP2nSJNy8eRM3b96ETCZrd%2B2FhYXw8PDAM69uR%2B9Bwx/1snW5itN7YLz%2BKW7pyrt7KURERD9b2%2B/fixcvYuzYsV06d5e%2BgyWTyeDs7Iwff/zR5JjRaERNTU2H5544cQJVVVVYvHixZHzJkiWora2V3G3KycnBoEGDxOYKABwcHKDVapGbm4vm5mYAQE1NDfLy8hAeHi42VwAwZ84cqFQqZGVliWMHDx5ES0sLIiMjJfNHRkairKwM58%2Bff8irQERERI%2B7Tm%2Bw6uvrUVlZia%2B//hpbt27FkSNHxLtC92b69OkDOzs7qNVqREVFmbwD1fb%2BlIeHh2Tcw8MDcrlc8n5VUVFRu52ql5cX6uvrce3aNQDA5cuX0dLSYlLT0tIS7u7ukprFxcVQqVQYMWKESU1BEDp8v4uIiIiePJ32DlablStXIjU1FQAgl8vx8ssvY/v27eJxR0dHrFq1CmPHjoXRaMTRo0eRnJyMS5cu4eTJk5DL7/aAOp0OFhYWcHBwkNS3tLSEWq1GRUWFOKbT6TBp0iSTtWg0GgB3H/eNHDkSOp0OMplMHP9p9syZM5KaAwcOvG9NIiIiIqALGqzly5cjNDQUFRUVyMrKQmtrKxobG8Xj8fHxkrxWq4WLiwvefPNNZGdniy%2BPGwwGWFlZtTuHtbU1DAaD%2BL3BYECvXr3azQmCIGbbvnaUfdia99YiIiIi6vRHhK6urvD19cXs2bPx4YcfoqamBsHBwfc9Z/ny5ZDJZMjLyxPHlEolmpqa2s03NDRAqVRKsvc2cffmZDKZmG372lH2YWveW4uIiIio0%2B9g/VRISAgWLVqE69evw8XFpd2MtbU11Go1qqqqxDGNRoPW1lbo9XrJY8Lm5mZUVlbC0dFRktXpdCZ128bashqNBoIgdJj9ac2TJ08%2BsOb9lH6SCgtrlWTM3s0H9iN9HnguERERdWzv3r3Yu3evZKy6urqbVtMNDVbbo7T7/dC1tbXQ6/Xo37%2B/OObu7g5BEFBQUIDAwEBx/MKFCzAajXB3d5dk731/qk1%2Bfj569%2B4NV1dXAMCoUaOgUChQUFCAkJAQMdfc3Izi4mLMmDFDUjMtLQ0lJSWSF93z8/Mhk8kk83fE2X9hj9imgYiIqKcJCwtDWFiYZKxtm4bu0GmPCH/44QeTsZaWFuzevRtKpRJubm5obGxEbW2tSe6dd94BAEyePFkc8/X1hb29PVJSUiTZlJQUqFQqTJkyRRwLCQnB7du3sX//fnFMr9cjOzsbwcHBsLS0BAD06dMHfn5%2ByMjIkPzVYnp6Ourq6iSbh06bNg0KhQLJycmS%2BXfu3AknJyd4e3s/1HUhIiKix1%2Bn3cFauHAh7ty5g4kTJ8LJyQm3bt3Cnj17cPXqVWzZsgW9e/fGt99%2BizFjxiAsLEy8K3T06FEcOXIEQUFBkne1rK2tsW7dOkRFRUGr1SIgIACnTp1CZmYm1q9fj759%2B4rZkJAQJCUlYd68ebhy5QocHByQnJwMo9GItWvXStYZHx%2BP8ePHY%2BLEiYiIiEBpaSm2bNmCgIAA%2BPv7izknJycsW7YMiYmJaGpqwrhx43DgwAGcPXsWmZmZHW4ySkRERE%2BeTmuwZs6cibS0NOzcuROVlZWwtbWFh4cHNm3aJN5t6tu3L1566SXk5eUhPT0dra2tGD58ODZs2ICVK1ea1IyMjISVlRU2b96MQ4cOwdnZGUlJSVi6dKkkJ5fLceTIEcTGxmL79u0wGAzw8vJCenq6yXtfY8aMQV5eHlavXo0VK1bA1tYWCxYswPr1603mT0hIgL29PVJTU7F79264uLhgz549kkeJRERERF36UTlPKn5UDhERUdd7Yj4qh4iIiOhJwAaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmbLCIiIiIzKzTGqwvv/wSWq0Ww4YNg0qlQv/%2B/TFp0iR89NFHJtmSkhIEBgbC1tYWarUac%2BbMgV6vb7duWloa3NzcoFQq4erqih07drSbq66uRkREBAYMGAAbGxv4%2BvqiqKio3ey5c%2BcwYcIEqFQqaDQaxMTEoK6uziQnCAI2btyIoUOHQqlUYvTo0di3b98jXBUiIiJ6EnRag/Xtt9%2BitrYWc%2BfOxZ/%2B9Ce8/fbbkMlkCA4Oxl/%2B8hcxV15ejueffx5ff/01NmzYgNjYWBw%2BfBgvvvgiWlpaJDVTU1OxYMECPPvss9ixYwe8vb0RHR2NTZs2SXKCICAoKAj79u0Tj//www/w8fHBv/71L0m2uLgYfn5%2BaGhowNatW7FgwQLs2rULWq3W5GeKi4vD66%2B/joCAAOzYsQODBw/GrFmzkJWVZcYrR0RERD2dTBAEoasmEwQBY8eORWNjI7788ksAwOLFi5Geno6rV6/CyckJAHD8%2BHH4%2B/tj165deO211wAADQ0NcHZ2hre3N3Jzc8Wa4eHhyM3NRWlpKezs7AAAWVlZmDlzJnJycjB9%2BnQAgF6vh6urK4KCgpCRkSGeHxQUhEuXLuHq1atQqVQA7t4li4iIwLFjx%2BDn5wcAqKiowJAhQ7Bo0SJs27ZNPH/SpEm4efMmbt68CZlM1u7PXVhYCA8PDzzz6nb0HjTcLNeyM1Wc3gPj9U9xS1fe3UshIiL62dp%2B/168eBFjx47t0rm79B0smUwGZ2dn/Pjjj%2BLY/v37MXXqVLG5AoAXXngBrq6ukjtDJ06cQFVVFRYvXiypuWTJEtTW1uLw4cPiWE5ODgYNGiQ2VwDg4OAArVaL3NxcNDc3AwBqamqQl5eH8PBwsbkCgDlz5kClUknmP3jwIFpaWhAZGSmZPzIyEmVlZTh//vzPvSxERET0mOn0Bqu%2Bvh6VlZX4%2BuuvsXXrVhw5ckRyV%2Bj777%2BHp6enyXleXl6Sd6ba/tvDw0OS8/DwgFwuN8m216l6eXmhvr4e165dAwBcvnwZLS0tJjUtLS3h7u4uqVlcXAyVSoURI0aY1BQEocP3u4iIiOjJ0%2BkN1sqVK9G/f38MHz4csbGx%2BN3vfoft27cDAHQ6HQBAo9GYnKfRaFBVVSXebdLpdLCwsICDg4MkZ2lpCbVajYqKCnFMp9N1WBOAmNXpdJDJZB1mf1pz4MCBD6xJREREpOjsCZYvX47Q0FBUVFQgKysLra2taGxsBAAYDAYAQK9evUzOs7a2FjOWlpYwGAywsrJqdw5ra2uxVts5HdUUBEHMPmj%2Bh615by0iIiKiTr%2BD5erqCl9fX8yePRsffvghampqEBwcDABQKpUAIDZc92poaJBklEolmpqa2p2joaFBzLVlO6opk8kkNe83/8PWvLcWERERUaffwfqpkJAQLFq0CNevXxcfr7U9KryXTqeDvb09LC0tAdx9FNfa2gq9Xi95TNjc3IzKyko4OjqKYxqNpsOaAMSsRqOBIAgdZn9a8%2BTJkw%2BseT%2Bln6TCwlolGbN384H9SJ8HnktEREQd27t3L/bu3SsZq66u7qbVdEOD1fYorbq6Gi4uLujfvz8KCgpMcl988QXc3d3F793d3SEIAgoKChAYGCiOX7hwAUaj0SR75swZk5r5%2Bfno3bs3XF1dAQCjRo2CQqFAQUEBQkJCxFxzczOKi4sxY8YMSc20tDSUlJRIXnTPz8%2BHTCaTzN8RZ/%2BFPWKbBiIiop4mLCwMYWFhkrG2bRq6Q6c9Ivzhhx9MxlpaWrB7924olUq4ubkBAF5%2B%2BWV89NFHKC//vz2Xjh8/jmvXrkk2%2B/T19YW9vT1SUlIkNVNSUqBSqTBlyhRxLCQkBLdv38b%2B/fvFMb1ej%2BzsbAQHB4t3xfr06QM/Pz9kZGRIdm5PT09HXV2dZP5p06ZBoVAgOTlZMv/OnTvh5OQEb2/vR7o%2BRERE9PjqtDtYCxcuxJ07dzBx4kQ4OTnh1q1b2LNnD65evYotW7agd%2B/eAO7ujp6dnQ0fHx/ExMSgpqYGiYmJGD16NObOnSvWs7a2xrp16xAVFQWtVouAgACcOnUKmZmZWL9%2BPfr27StmQ0JCkJSUhHnz5uHKlStwcHBAcnIyjEYj1q5dK1lnfHw8xo8fj4kTJyIiIgKlpaXYsmULAgIC4O/vL%2BacnJywbNkyJCYmoqmpCePGjcOBAwdw9uxZZGZmdrjJKBERET15Oq3BmjlzJtLS0rBz505UVlbC1tYWHh4e2LRpk%2BRu01NPPYXPPvsMK1aswB/%2B8AdYWVlh6tSpSExMFO80tYmMjISVlRU2b96MQ4cOwdnZGUlJSVi6dKkkJ5fLceTIEcTGxmLVKSpVAAAgAElEQVT79u0wGAzw8vJCeno6XFxcJNkxY8YgLy8Pq1evxooVK2Bra4sFCxZg/fr1Jj9TQkIC7O3tkZqait27d8PFxQV79uyRPEokIiIi6tKPynlS8aNyiIiIut4T81E5RERERE8CNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMTP7SSy8hKysLjY2N3b0WIiIioseC/Msvv8TMmTMxcOBAzJ8/HydPnuzuNRERERH1aPJ//etfOHv2LF555RUcOnQIL7zwAp5%2B%2Bmn84Q9/wD//%2Bc/uXh8RERFRjyMHgP/3//4f3n33Xeh0Onz44YcYP348tm/fjtGjR8Pd3R1btmyBTqfr7rUSERER9QiSl9wtLCwwZcoU7N27F2VlZQgJCcGlS5cQGxuLp59%2BGoGBgTh27Fh3rZWIiIioRzD5K8L8/HxERUXB1dUVH3zwAZ555hnEx8djw4YNKC0tRVBQEP7nf/6nO9ZKRERE1CMoAODatWvIyMhAZmYmvvnmGzg4OCAsLAzh4eHw9PQUwytXrsT8%2BfOxfft2rFmzptsWTURERPSfTOHp6YmioiJYWVlh6tSp2Lp1KyZPngyFQtHuCX5%2BfvjrX//axcskIiIi6jkU1tbWSE5OxowZM9C3b98HnhAcHIzr1693wdKIiIiIeibFmTNnHukElUqFYcOGddJyiIiIiHo%2BeXFxMVJTUzsM7Nq1C5cuXerCJRERERH1bPK4uDgcOXKkw8CxY8fwxhtvdOGSiIiIiHo2eUFBASZOnNhh4Pnnn8eFCxe6cElEREREPZu8pqYGVlZWHQYsLCxQXV3dhUsiIiIi6tnkLi4u%2BOSTTzoMfPzxxxgyZMgjFy4oKEBUVBRGjRoFGxsbDB48GDNmzDD5C8R58%2BZBLpeb/HNzc2u3blpaGtzc3KBUKuHq6oodO3a0m6uurkZERAQGDBgAGxsb%2BPr6oqioqN3suXPnMGHCBKhUKmg0GsTExKCurs4kJwgCNm7ciKFDh0KpVGL06NHYt2/fI14ZIiIietwp5s2bh5UrV2LVqlV46623YGtrCwC4c%2BcO1q1bh3/84x9ISEh45MIJCQk4d%2B4cQkND8dxzz%2BHWrVvYvn07xo4di88//1zSQFlbWyMtLQ2CIIhjdnZ2JjVTU1MRGRmJ0NBQrFy5EqdPn0Z0dDQMBgNiY2PFnCAICAoKwuXLl7Fq1Sqo1WokJyfDx8cHhYWFkr%2BCLC4uhp%2BfH9zc3LB161aUlZVh06ZNuHHjBg4fPiyZPy4uDgkJCVi4cCE8PT2Rm5uLWbNmQS6XQ6vVPvI1IiIioseTzGg0CnPmzMGePXugUCjw1FNPAQDKysrQ0tKCsLAwZGRkQCaTPVLh/Px8eHp6SjYsvXHjBp599lmEhoYiPT0dwN07WDk5Obhz58596zU0NMDZ2Rne3t7Izc0Vx8PDw5Gbm4vS0lKxKcvKysLMmTORk5OD6dOnAwD0ej1cXV0RFBSEjIwM8fygoCBcunQJV69ehUqlAnD3LllERASOHTsGPz8/AEBFRQWGDBmCRYsWYdu2beL5kyZNws2bN3Hz5s0Or1FhYSE8PDzwzKvb0XvQ8Ie%2Bht2l4vQeGK9/ilu68u5eChER0c/W9vv34sWLGDt2bJfOLZfJZHj//fdx7NgxvPrqqxg%2BfDiGDx%2BO%2BfPn4%2BOPP8aePXseubkCgN/85jcmu8EPHz4cI0eOxFdffWWSNxqNqKmp6bDeiRMnUFVVhcWLF0vGlyxZgtraWsndppycHAwaNEhsrgDAwcEBWq0Wubm5aG5uBgDU1NQgLy8P4eHhYnMFAHPmzIFKpUJWVpY4dvDgQbS0tCAyMlIyf2RkJMrKynD%2B/Pn7XQ4iIiJ6gogf9uzv74%2BdO3fi448/xscff4yUlBTx7o053b59Gw4ODpKx%2Bvp69OnTB3Z2dlCr1YiKijJ5B6rt/SkPDw/JuIeHB%2BRyueT9qqKionY7VS8vL9TX1%2BPatWsAgMuXL6OlpcWkpqWlJdzd3SU1i4uLoVKpMGLECJOagiB0%2BH4XERERPXnkD46YT0ZGBsrLyzFz5kxxzNHREatWrcLf/vY37Nu3D9OmTUNycjImT54Mo9Eo5nQ6HSwsLEyaM0tLS6jValRUVEiyGo3GZP62sbasTqeDTCbrMPvTmgMHDnxgTSIiIiIFcPedo7S0NHz99df497//LXnZHABkMhkaGxt/0UQlJSWIiorC%2BPHjMWfOHHE8Pj5ektNqtXBxccGbb76J7Oxs8eVxg8HQ4XYS1tbWMBgM4vcGgwG9evVqNycIgpht%2B9pR9mFr3luLiIiISPH6669j06ZNePbZZxESEoJ%2B/fqZfZLbt29jypQp6NevHz744IMHvtO1fPlyvPXWW8jLyxMbLKVSiaampnbzDQ0NUCqV4vdKpbLdhrChoQEymUzMtn3tKPuwNe%2BtRURERKR47733MH36dGRnZ3fKBHfu3EFgYCDu3LmDM2fOYNCgQQ88x9raGmq1GlVVVeKYRqNBa2sr9Hq95DFhc3MzKisr4ejoKMnqdDqTum1jbVmNRgNBEDrM/rTmyZMnH1jzfko/SYWFtUoyZu/mA/uRPg88l4iIiDq2d%2B9e7N27VzLWnRulKwwGA1588cVOKd7Y2IipU6fixo0bOH78OH79618/1Hm1tbXQ6/Xo37%2B/OObu7g5BEFBQUIDAwEBx/MKFCzAajXB3d5dkz5w5Y1I3Pz8fvXv3hqurKwBg1KhRUCgUKCgoQEhIiJhrbm5GcXExZsyYIamZlpaGkpISyYvu%2Bfn5kMlkkvk74uy/sEds00BERNTThIWFISwsTDLWtk1Dd5D/9re/xcWLF81e2Gg0QqvV4vPPP0d2dja8vLxMMo2NjaitrTUZf%2BeddwAAkydPFsd8fX1hb2%2BPlJQUSTYlJQUqlQpTpkwRx0JCQnD79m3s379fHNPr9cjOzkZwcDAsLS0BAH369IGfnx8yMjIkf7WYnp6Ouro6yeah06ZNg0KhQHJysmT%2BnTt3wsnJCd7e3g91XYiIiOjxp0hOTsaLL76IjRs3IiIiAn379jVL4RUrVuDQoUMIDg6GXq/Hnj17JMdfeeUV3Lp1C2PGjEFYWJh4V%2Bjo0aM4cuQIgoKCEBwcLOatra2xbt06REVFQavVIiAgAKdOnUJmZibWr18vWXdISAiSkpIwb948XLlyBQ4ODkhOTobRaMTatWsl64iPj8f48eMxceJEREREoLS0FFu2bEFAQAD8/f3FnJOTE5YtW4bExEQ0NTVh3LhxOHDgAM6ePYvMzMyftVcYERERPZ5kffv2FVpaWlBfXw8AsLGxgYWFhTQkk6GysvKRCv/2t7/FqVOnOjze2tqK6upqREdHIz8/HxUVFWhtbcXw4cMxe/ZsrFy50mQdwN2/eNy8eTO%2B%2BeYbODs7Y%2BnSpVi6dKlJrrq6GrGxsTh48CAMBgO8vLyQmJiIMWPGmGTPnTuH1atXo7CwELa2tpgxYwbWr18v2Xy0TUJCAlJTU6HT6eDi4oK4uDjJthPt4U7uREREXa87d3KXvfLKK8LD3H15//33u2A5jyc2WERERF2vOxssxb2fy0dEREREv1yX7uRORERE9CSQA0BZWRmioqIwcuRI9O/fH6dPnwZw9y/vVqxYgeLi4m5dJBEREVFPoigpKcHzzz%2BP5uZmjBs3DiUlJWhubgYAODg44MSJE7hz5w7%2B8pe/dPNSiYiIiHoGxapVq2BjY4P8/HxYWFhgwIABksCUKVPwwQcfdNPyiIiIiHoe%2BWeffYbFixdj4MCB7e7lNHjwYJSX86/JiIiIiB6WvLW1td39ntro9Xpx53MiIiIiejD5mDFjcPTo0XYPtra2Yt%2B%2Bffiv//qvLl4WERERUc8lf/3113H48GEsXboUJSUlAO7etTp58iQCAwPx5Zdf4vXXX%2B/mZRIRERH1HIopU6YgLS0Ny5YtEz/IuO3TqG1sbPDee%2B/Bx8enG5dIRERE1LMoAGDu3Ll4%2BeWXcfToUdy4cQNGoxHDhg3D5MmTYWdn191rJCIiIupRFG3/YWtri9DQ0O5cCxEREdFjQVFRUfFQQUdHx05eChEREdHjQfHUU0%2B1u//VT7W2tnbBcoiIiIh6PsWuXbtMGqzW1lbcvHkT77//PjQaDRYuXNhNyyMiIiLqeRSvvfZahwfj4uLg5eWFhoaGLlwSERERUc8mv99BGxsbvPrqq9i8eXNXrYeIiIiox7tvg9VGp9N19jqIiIiIHhuKjg7U19fj1KlTSExMhLu7e1euiYiIiKhHU1haWrb7V4Stra0QBAFOTk549913u2FpRERERD2TYvXq1SYNlkwmQ79%2B/cTd3C0tLbtpeUREREQ9j%2BJ///d/u3sNRERERI%2BVh3rJ/ecoKChAVFQURo0aBRsbGwwePBgzZszA9evXTbIlJSUIDAyEra0t1Go15syZA71e327dtLQ0uLm5QalUwtXVFTt27Gg3V11djYiICAwYMAA2Njbw9fVFUVFRu9lz585hwoQJUKlU0Gg0iImJQV1dnUlOEARs3LgRQ4cOhVKpxOjRo7Fv375HuCpERET0JFBEREQ88kkymQypqan3zSQkJODcuXMIDQ3Fc889h1u3bmH79u0YO3YsPv/8c7i5uQEAysvL8fzzz6Nfv37YsGEDampqsGnTJvzzn//EF198AYXi/97DT01NRWRkJEJDQ7Fy5UqcPn0a0dHRMBgMiI2NFXOCICAoKAiXL1/GqlWroFarkZycDB8fHxQWFmLYsGFitri4GH5%2BfnBzc8PWrVtRVlaGTZs24caNGzh8%2BLDkZ4qLi0NCQgIWLlwIT09P5ObmYtasWZDL5dBqtY98HYmIiOjxJHvqqacEg8GAqqoqAHc/9BkAampqAAD29vZQKpXSk2QyfPfdd/ctnJ%2BfD09PT0mDdOPGDTz77LMIDQ1Feno6AGDx4sVIT0/H1atX4eTkBAA4fvw4/P39sWvXLrRthNrQ0ABnZ2d4e3sjNzdXrBkeHo7c3FyUlpbCzs4OAJCVlYWZM2ciJycH06dPBwDo9Xq4uroiKCgIGRkZ4vlBQUG4dOkSrl69CpVKBeDuXbKIiAgcO3YMfn5%2BAICKigoMGTIEixYtwrZt28TzJ02ahJs3b%2BLmzZsdfuRQYWEhPDw88Myr29F70PD7Xrf/BBWn98B4/VPc0pV391KIiIh%2BtrbfvxcvXsTYsWO7dG75J598gt69e2PVqlWoqKhAdXU1qqurUVFRgdjYWKhUKuTl5aG0tFT896DmCgB%2B85vfSJorABg%2BfDhGjhyJr776Shzbv38/pk6dKjZXAPDCCy/A1dUVWVlZ4tiJEydQVVWFxYsXS2ouWbIEtbW1krtNOTk5GDRokNhcAYCDgwO0Wi1yc3PR3NwM4G4TmZeXh/DwcLG5AoA5c%2BZApVJJ5j948CBaWloQGRkpmT8yMhJlZWU4f/78A68JERERPRnkUVFR8Pf3x4YNGzBo0CDxwKBBg5CQkAA/Pz9ERUWZbcLbt2/DwcEBwN27Qt9//z08PT1Ncl5eXpJ3ptr%2B28PDQ5Lz8PCAXC43ybbXqXp5eaG%2Bvh7Xrl0DAFy%2BfBktLS0mNS0tLeHu7i6pWVxcDJVKhREjRpjUFAShw/e7iIiI6Mkjb3uU1xFPT0%2Bz3Z3JyMhAeXk5Zs6cCeD/dojXaDQmWY1Gg6qqKvFuk06ng4WFhdictbG0tIRarUZFRYU4ptPpOqwJQMzqdDrIZLIOsz%2BtOXDgwAfWJCIiIpL37dsXx44d6zBw5MgR8d2mX6KkpARRUVEYP3485syZAwAwGAwAgF69epnkra2tJRmDwQArK6t2a1tbW4u5tmxHNQVBkNS83/wPW/PeWkRERETyiIgIfPjhh3j55Zdx8uRJlJWVoaysDCdOnMDvfvc7HD58GAsXLvxFk9y%2BfRtTpkxBv3798MEHH4gvg7e9PN/Y2GhyTkNDgySjVCrR1NTUbv2GhgbJi/hKpbLDmjKZTFLzfvM/bM17axEREREp3nrrLRgMBmzevBkHDx6UHLSwsMB///d/4%2B233/7ZE9y5cweBgYG4c%2BcOzpw5I3nPq%2B3xWnsfJq3T6WBvby/uIq/RaNDa2gq9Xi95TNjc3IzKyko4OjpK6nZUE4CY1Wg0EAShw%2BxPa548efKBNe%2Bn9JNUWFirJGP2bj6wH%2BnzwHOJiIioY3v37sXevXslY9XV1d20GkAhk8nwxz/%2BEcuXL8exY8fEvxAcPHgw/P39233v6GE1NjZi6tSpuHHjBo4fP45f//rXkuOOjo7o378/CgoKTM794osvJB8y7e7uDkEQUFBQgMDAQHH8woULMBqNJtkzZ86Y1MzPz0fv3r3h6uoKABg1ahQUCgUKCgoQEhIi5pqbm1FcXIwZM2ZIaqalpaGkpETyont%2Bfj5kMtlDfSC2s//CHrFNAxERUU8TFhaGsLAwyVjbNg3dQdzJfcCAAQgPD8cbb7yBN954A7Nnz/5FzZXRaIRWq8Xnn3%2BO7OxseHl5tZt7%2BeWX8dFHH6G8/P/2XDp%2B/DiuXbsm2bzT19cX9vb2SElJkZyfkpIClUqFKVOmiGMhISG4ffs29u/fL47p9XpkZ2cjODhYvCvWp08f%2BPn5ISMjQ7Jze3p6Ourq6iTzT5s2DQqFAsnJyZL5d%2B7cCScnJ3h7ez/K5SEiIqLHmAK42wzt378fJ06cwPfff481a9Zg1KhRuHPnDk6ePInf/OY3GDBgwCMVXrFiBQ4dOoTg4GDo9Xrs2bNHcvyVV14BcHd39OzsbPj4%2BCAmJgY1NTVITEzE6NGjMXfuXDFvbW2NdevWISoqClqtFgEBATh16hQyMzOxfv169O3bV8yGhIQgKSkJ8%2BbNw5UrV%2BDg4IDk5GQYjUasXbtWso74%2BHiMHz8eEydOREREBEpLS7FlyxYEBATA399fzDk5OWHZsmVITExEU1MTxo0bhwMHDuDs2bPIzMzscJNRIiIievLIqqurhcmTJ%2BP8%2BfNQKpVoaGjAJ598Al9fX7S0tGDw4MGYO3cu4uPjH6nwb3/7W5w6darD462treJ/f/XVV1ixYgXOnDkDKysrTJ06FYmJiejfv7/JeWlpadi8eTO%2B%2BeYbODs7Y%2BnSpVi6dKlJrrq6GrGxsTh48CAMBgO8vLyQmJiIMWPGmGTPnTuH1atXo7CwELa2tpgxYwbWr18v2Xy0TUJCAlJTU6HT6eDi4oK4uDhx24mOcCd3IiKirtedO7nLIiMjhfT0dHzwwQfw9PTEwIEDkZeXB19fXwBATEwMTp06xY00fwE2WERERF2vWz8q58CBA1i6dCkmT54MuVxuEnB1dcXNmze7dFFEREREPZn83//%2BN4YOHdphoKWlRdxNnYiIiIgeTD5s2LD7Pv7Ly8vDM88804VLIiIiIurZ5PPnz8d7772HnJwccVAmk6G5uRlr1qzBP/7xD0RERHTjEomIiIh6FsXy5ctx%2BfJlhIaGQq1WAwDCw8Oh1%2BvR1NSE%2BfPnY8GCBd28TCIiIqKeQyGTyfDXv/4Vv//975GdnY3r16/DaDRi2LBh0Gq14l8TEhEREdHDUfzjH//A008/DR8fH/j4%2BHT3eoiIiIh6PPn06dNx%2BvTp7l4HERER0WNDPnz4cFRVVXX3OoiIiIgeG/LXX38d7777Lm7cuNHdayEiIiJ6LCiKiorQr18/uLm54YUXXsCvfvUrKJVKSUgmk2Hz5s3dtEQiIiKinkWRlJQkfnPs2LF2Q2ywiIiIiB6egh%2BDQ0RERGReCgsLi%2B5eAxEREdFjRQ4AlZWVsLCwwKefftrd6yEiIiLq8eRt/yEIQneug4iIiOixIX9whIiIiIgeBRssIiIiIjNTFBYWorq6GgBw/fp19O3bt93g2LFju3JdRERERD2WYty4ceI3ixcvNgkIggCZTIbW1tauXBcRERFRj6V47733unsNRERERI8V%2Be9//3s8zL%2Bfo66uDmvWrMHkyZOhVqshl8uRnp5ukps3bx7kcrnJPzc3t3brpqWlwc3NDUqlEq6urtixY0e7uerqakRERGDAgAGwsbGBr68vioqK2s2eO3cOEyZMgEqlgkajQUxMDOrq6kxygiBg48aNGDp0KJRKJUaPHo19%2B/Y9wlUhIiKix52iM4vr9XqsW7cOgwcPhru7O06ePNlh1traGmlpaZLtIuzs7ExyqampiIyMRGhoKFauXInTp08jOjoaBoMBsbGxYk4QBAQFBeHy5ctYtWoV1Go1kpOT4ePjg8LCQgwbNkzMFhcXw8/PD25ubti6dSvKysqwadMm3LhxA4cPH5bMHxcXh4SEBCxcuBCenp7Izc3FrFmzIJfLodVqf8HVIiIiosdFpzZYjo6OuHXrFgYMGICLFy/i3ve9TBaiUCAsLOy%2B9RoaGvDmm2/ipZdewt///ncAwPz589Ha2op169YhIiJCbMo%2B%2BOADnD9/Hjk5OZg%2BfToAIDQ0FK6urlizZg0yMjLEunFxcbC3t8dnn30GlUoFABg8eDAiIiKQl5cHPz8/AEBFRQW2bNmCpUuXYtu2beL8kyZNQmxsLEJDQyGTyX7m1SIiIqLHRadu02BpaYkBAwY8dN5oNKKmpqbD4ydOnEBVVZXJy/hLlixBbW2t5G5TTk4OBg0aJDZXAODg4ACtVovc3Fy0fQZjTU0N8vLyEB4eLjZXADBnzhyoVCpkZWWJYwcPHkRLSwsiIyMl80dGRqKsrAznz59/6J%2BViIiIHl//Mftg1dfXo0%2BfPrCzs4NarUZUVJTJO1Bt7095eHhIxj08PCCXyyXvVxUVFbW7tYSXlxfq6%2Btx7do1AMDly5fR0tJiUtPS0hLu7u6SmsXFxVCpVBgxYoRJTUEQOny/i4iIiJ4s/xENlqOjI1atWoW//e1v2LdvH6ZNm4bk5GRMnjwZRqNRzOl0OlhYWMDBwUFyvqWlJdRqNSoqKiRZjUZjMlfbWFtWp9NBJpN1mP1pzYEDBz6wJhERET3ZOvUdrIcVHx8v%2BV6r1cLFxQVvvvkmsrOzxZfHDQYDrKys2q1hbW0Ng8Egfm8wGNCrV692c4IgiNm2rx1lH7bmvbWIiIjoyfYfcQerPcuXL4dMJkNeXp44plQq0dTU1G6%2BoaEBSqVSkm1sbGw3J5PJxGzb146yD1vz3lpERET0ZPuPuIPVHmtra6jValRVVYljGo0Gra2t0Ov1kseEzc3NqKyshKOjoySr0%2BlM6raNtWU1Gg0EQegw%2B9Oa7W018dOaHSn9JBUW1irJmL2bD%2BxH%2Btz3PCIiIrq/vXv3Yu/evZKxto8C7A7/sQ1WbW0t9Ho9%2BvfvL465u7tDEAQUFBQgMDBQHL9w4QKMRiPc3d0l2TNnzpjUzc/PR%2B/eveHq6goAGDVqFBQKBQoKChASEiLmmpubUVxcjBkzZkhqpqWloaSkRPKie35%2BPmQymWT%2B9jj7L0TvQcMf4SoQERHRwwgLCzPZ7qmwsNDkj9i6Src/ImxsbERtba3J%2BDvvvAMAmDx5sjjm6%2BsLe3t7pKSkSLIpKSlQqVSYMmWKOBYSEoLbt29j//794pher0d2djaCg4NhaWkJAOjTpw/8/PyQkZEh%2BavF9PR01NXVSTYPnTZtGhQKBZKTkyXz79y5E05OTvD29v45l4CIiIgeM51%2BB%2Bvdd9/Fjz/%2BiPLycgDAhx9%2BiNLSUgBAdHQ0qqqqMGbMGISFhYl3hY4ePYojR44gKCgIwcHBYi1ra2usW7cOUVFR0Gq1CAgIwKlTp5CZmYn169ejb9%2B%2BYjYkJARJSUmYN28erly5AgcHByQnJ8NoNGLt2rWSNcbHx2P8%2BPGYOHEiIiIiUFpaii1btiAgIAD%2B/v5izsnJCcuWLUNiYiKampowbtw4HDhwAGfPnkVmZiY3GSUiIiIAgEy497NpOsGQIUPw3XfftXvsm2%2B%2BgZ2dHaKjo5Gfn4%2BKigq0trZi%2BPDhmD17NlauXAkLCwuT89LS0rB582Z88803cHZ2xtKlS7F06VKTXHV1NWJjY3Hw4EEYDAZ4eXkhMTERY8aMMcmeO3cOq1evRmFhIWxtbTFjxgysX79esvlom4SEBKSmpkKn08HFxQVxcXGYOXNmh9eg7RblM69u7xGPCCtO74Hx%2Bqe4pSvv7qUQERH9bG2/fy9evNju3pidqdMbLGKDRURE1B26s8Hq9newiIiIiB43bLCIiIiIzIwNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzDq1waqrq8OaNWswefJkqNVqyOVypKent5stKSlBYGAgbG1toVarMWfOHOj1%2BnazaWlpcHNzg1KphKurK3bs2NFurrq6GhERERgwYABsbGzg6%2BuLoqKidrPnzp3DhAkToFKpoNFoEBMTg7q6OpOcIAjYuHEjhg4dCqVSidGjR2Pfvn0PeUWIiIjoSdCpDZZer8e6detQUlICd3d3yGSydnPl5f%2B/vTsPiuLM3wD%2BzMgxnCZcOrAsUcxsfoo4USF4BAlBMYq4Rg7NrlcUUl54lRrZrKZCULKiGDHiUZasQVkV0HjErRWDGCOK4OIaj3gkXjCioCLgcPfvjxS9zg54xIGe0edT1VXw9nfe/vKWJQ/dPT3FePvtt/Hzzz8jISEB8%2BfPx/79%2BzFkyBA0NDTo1K5fvx5RUVHo2bMn1qxZg/79%2ByMmJgbLly/XqRMEAcOGDcM//vEPcf%2BdO3cQEBCAK1eu6NQWFRUhKCgINTU1SEpKQlRUFDZs2ICIiAi9XmNjY/Hxxx8jODgYa9asgYeHBz744APs2LHjOVeLiIiIXhRmbZRikRkAABm0SURBVDm5q6srbt26BRcXFxQWFsLHx6fFuvj4eGi1WhQVFcHNzQ0A4OPjg8GDByM1NRVTpkwBANTU1OCTTz7BiBEjsH37dgDA5MmT0djYiLi4OERHR6Njx44AgJ07dyIvLw%2BZmZkYNWoUACA8PBwqlQpLlixBWlqaePzY2Fg4ODggNzcXNjY2AAAPDw9ER0cjOzsbQUFBAICSkhKsXLkSM2fOxJdffikef9CgQZg/fz7Cw8NbDZFERET08mjTM1jm5uZwcXF5Yl1WVhZCQkLEcAUA7777LlQqlc6ZoZycHNy9exfTpk3Tef306dNRVVWF/fv3i2OZmZno3LmzGK4AwMnJCREREfjmm29QX18PAKisrER2djbGjRsnhisAGD9%2BPGxsbHSOv3v3bjQ0NGDq1Kk6x586dSpu3ryJvLy8J/6sRERE9OKT/Cb3kpIS3L59G3379tXb5%2Bvrq3PPVPPXffr00anr06cP5HK5Xm3v3r1bnPPhw4e4ePEiAODMmTNoaGjQm9Pc3BxqtVpnzqKiItjY2OCNN97Qm1MQhFbv7yIiIqKXi%2BQBS6PRAACUSqXePqVSibt374pnmzQaDTp06AAnJyedOnNzczg6OqKkpERn3tbmBCDWajQayGSyVmv/d85OnTo9cU4iIiJ6uUkesLRaLQDA0tJSb59CodCp0Wq1sLCwaHEehUIh1jXXtjanIAg6cz7u%2BE8756NzERER0ctN8oBlZWUFAKitrdXbV1NTo1NjZWWFurq6FuepqakR65prW5tTJpPpzPm44z/tnI/ORURERC%2B3Nn0X4dNovrzWfKnwURqNBg4ODjA3NxdrGxsbUVZWpnOZsL6%2BHuXl5XB1ddWZt7U5AYi1SqUSgiC0Wvu/cx4%2BfPiJc7bmxsH16KCw0Rlz6B4Ahx4Bj30dERERPV56ejrS09N1xioqKiTqxggClqurK5ydnVFQUKC3Lz8/H2q1WvxerVZDEAQUFBRg6NCh4vjJkyfR1NSkV3v06FG9OY8fPw5ra2uoVCoAgJeXF8zMzFBQUICwsDCxrr6%2BHkVFRYiMjNSZc9OmTbhw4YLOje7Hjx%2BHTCbTOX5L3Ad/BOvO3R5bQ0RERM9u7NixGDt2rM7YqVOn9N7E1l4kv0QIAKNHj8a%2BfftQXFwsjh06dAgXL17UedhnYGAgHBwckJKSovP6lJQU2NjYYPjw4eJYWFgYSktLkZWVJY6VlZUhIyMDoaGh4lkxe3t7BAUFIS0tTefJ7Vu2bEF1dbXO8UeOHAkzMzOsXbtW5/jr1q2Dm5sb%2Bvfv/5wrQURERC%2BCNj%2BD9dVXX%2BH%2B/ftieNqzZw9u3LgBAIiJiYGdnR1iY2ORkZGBgIAAzJo1C5WVlUhMTESvXr0wceJEcS6FQoG4uDjMmDEDERERCA4OxpEjR7Bt2zYsXboUr7zyilgbFhaGVatWYdKkSTh79iycnJywdu1aNDU14dNPP9XpMT4%2BHgMGDIC/vz%2Bio6Nx48YNrFy5EsHBwRg8eLBY5%2BbmhtmzZyMxMRF1dXXw8fHBrl278MMPP2Dbtm18yCgREREBAGSCIAhteYAuXbrg%2BvXrLe775Zdf8Pvf/x4AcP78ecydOxdHjx6FhYUFQkJCkJiYCGdnZ73Xbdq0CStWrMAvv/wCd3d3zJw5EzNnztSrq6iowPz587F7925otVr4%2BvoiMTERb775pl7tsWPHsHDhQpw6dQp2dnaIjIzE0qVLdR4%2B2uyLL77A%2BvXrodFo8PrrryM2NhZjxoxpdQ2aT1H%2B34fJJnGJsOT7rWi69B1uaYqfXExERGSkmn//FhYWtvhszLbU5gGLGLCIiIikIGXAMop7sIiIiIheJAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYAxYRERERAbGgEVERERkYEYRsHJzcyGXy/W2Dh06ID8/X6f2woULGDp0KOzs7ODo6Ijx48ejrKysxXk3bdqE7t27w8rKCiqVCmvWrGmxrqKiAtHR0XBxcYGtrS0CAwPx73//u8XaY8eOYeDAgbCxsYFSqcSsWbNQXV39fAtARERELxQzqRt41OzZs9G3b1%2BdsW7duolfFxcX4%2B2338arr76KhIQEVFZWYvny5fjxxx%2BRn58PM7P//jjr16/H1KlTER4ejnnz5uH7779HTEwMtFot5s%2BfL9YJgoBhw4bhzJkzWLBgARwdHbF27VoEBATg1KlT8PT0FGuLiooQFBSE7t27IykpCTdv3sTy5ctx%2BfJl7N%2B/vw1XhoiIiEyJUQWsgQMH4v333291f3x8PLRaLYqKiuDm5gYA8PHxweDBg5GamoopU6YAAGpqavDJJ59gxIgR2L59OwBg8uTJaGxsRFxcHKKjo9GxY0cAwM6dO5GXl4fMzEyMGjUKABAeHg6VSoUlS5YgLS1NPH5sbCwcHByQm5sLGxsbAICHhweio6ORnZ2NoKAgwy8KERERmRyjuET4qKqqKjQ2Nra4LysrCyEhIWK4AoB3330XKpUKO3bsEMdycnJw9%2B5dTJs2Tef106dPR1VVlc7ZpszMTHTu3FkMVwDg5OSEiIgIfPPNN6ivrwcAVFZWIjs7G%2BPGjRPDFQCMHz8eNjY2OscnIiKil5tRBaxJkybB3t4eCoUCgYGBKCwsFPeVlJTg9u3bepcQAcDX11fnnqnmr/v06aNT16dPH8jlcr3a3r17tzjnw4cPcfHiRQDAmTNn0NDQoDenubk51Gp1q/dsERER0cvHKAKWhYUFwsLC8OWXX2LPnj2Ij4/Hjz/%2BCH9/f5w%2BfRoAoNFoAABKpVLv9UqlEnfv3hXPNmk0GnTo0AFOTk46debm5nB0dERJSYk4ptFoWp0TgFir0Wggk8larX10TiIiInq5GcU9WP369UO/fv3E70NCQjB69Gh4e3tj0aJF%2BPbbb6HVagEAlpaWeq9XKBQAAK1WC3Nzc2i1WlhYWLR4LIVCIc7V/JrW5hQEQax90vEfnZOIiIhebkZxBqslnp6eGDlyJHJyciAIAqysrAAAtbW1erU1NTUAINZYWVmhrq6uxXlramrEuuba1uaUyWQ6cz7u%2BI/OSURERC83oziD1Rp3d3fU1dWhurpavDTXfKnwURqNBg4ODjA3Nwfw6yW7xsZGlJWV6VwmrK%2BvR3l5OVxdXcUxpVLZ6pwAxFqlUglBEFqtfXTO1tw4uB4dFDY6Yw7dA%2BDQI%2BCJryUiIqLWpaenIz09XWesoqJCom6MPGBduXIFCoUCtra2sLW1hbOzMwoKCvTq8vPzoVarxe/VajUEQUBBQQGGDh0qjp88eRJNTU16tUePHtWb8/jx47C2toZKpQIAeHl5wczMDAUFBQgLCxPr6uvrUVRUhMjIyCf%2BPO6DP4J1525PrCMiIqJnM3bsWIwdO1Zn7NSpU3pvTmsvRnGJsKUnsZ8%2BfRp79%2B5FcHCwODZ69Gjs27cPxcXF4tihQ4dw8eJFREREiGOBgYFwcHBASkqKzpwpKSmwsbHB8OHDxbGwsDCUlpYiKytLp5%2BMjAyEhoaKZ8Xs7e0RFBSEtLQ0nSe3b9myBdXV1TrHJyIiopebUZzBioyMhJWVFfr37w8XFxecPXsWGzduhK2tLZYtWybWxcbGIiMjAwEBAZg1axYqKyuRmJiIXr16YeLEiWKdQqFAXFwcZsyYgYiICAQHB%2BPIkSPYtm0bli5dildeeUWsDQsLw6pVqzBp0iScPXsWTk5OWLt2LZqamvDpp5/q9BkfH48BAwbA398f0dHRuHHjBlauXIng4GAMHjy4rZeJiIiITIRRBKxRo0Zh69atSEpKwoMHD%2BDs7IywsDAsXrwYXbt2Fet%2B97vfITc3F3PnzsWiRYtgYWGBkJAQJCYmimeamk2dOhUWFhZYsWIF9u7dC3d3d6xatQozZ87UqZPL5Thw4ADmz5%2BP5ORkaLVa%2BPr6YsuWLXj99dd1at98801kZ2dj4cKFmDt3Luzs7BAVFYWlS5e23eIQERGRyZEJgiBI3cSLrvka8P99mGwS92CVfL8VTZe%2Bwy1N8ZOLiYiIjFTz79/CwsIWHyreloziHiwiIiKiFwkDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWARERERGRgDFhEREZGBMWA9o7q6OixcuBBubm6wtraGn58fsrOzpW6LiIiIjAgD1jOaMGECVq1ahXHjxmH16tUwMzPDsGHDcOzYMalbIyIiIiPBgPUM8vPzsX37diQkJCAhIQFTpkzBoUOH4OHhgQULFkjd3gstPT1d6hZMGtfv%2BXD9ng/X7/lw/UwTA9YzyMjIgJmZGaKiosQxS0tLTJ48GXl5eSguLpawuxcb/4N5Ply/58P1ez5cv%2BfD9TNNDFjPoKioCCqVCra2tjrjvr6%2B4n4iIiIiBqxnoNFooFQq9caVSiUEQUBJSYkEXREREZGxYcB6BlqtFpaWlnrjCoVC3E9ERERkJnUDpsTKygq1tbV64zU1NeL%2BljQHr6v7V6GDRcs1xqS2ohQ28kZs3bpV6lZEN2/efGw/crkcTU1N7djR82vPnp%2B0fk/D1NbYkP0aYv2e5EVe3/ZYv6dhqmtsLOv3JE5OTnB2dpa6DR3nz58HINEJEIGe2uDBg4UePXrojR86dEiQyWTCvn37WnxdWlqaAIAbN27cuHHjJsGWlpbW1hFBD89gPQO1Wo3Dhw%2BjqqpK50b348ePQyaTQa1Wt/i64OBgpKWl4bXXXmv1LBcREREZllarxdWrVxEcHNzux5YJgiC0%2B1FNVH5%2BPvz8/JCYmIi5c%2BcC%2BPXJ7l5eXnB2dsYPP/wgcYdERERkDHgG6xn4%2BvoiPDwcixYtQmlpKbp164bU1FRcu3YNmzdvlro9IiIiMhI8g/WM6urq8Ne//hVpaWm4d%2B8evL298fnnnyMoKEjq1oiIiMhIMGARERERGRifg0VERERkYAxYbaiurg4LFy6Em5sbrK2t4efnh%2BzsbKnbMhnV1dVYsmQJ3nvvPTg6OkIul2PLli1St2USCgoKMGPGDHh5ecHW1hYeHh6IjIzEpUuXpG7NJJw7dw4RERHw9PSEjY0NnJ2dMWjQIOzbt0/q1kxSfHw85HI5vL29pW7FJOTm5kIul%2BttHTp0QH5%2BvtTtmYxTp04hNDQUjo6OsLGxQc%2BePbFmzZp2Oz5vcm9DEyZMQFZWFubMmSPeED9s2DAcPnwY/fv3l7o9o1dWVoa4uDh4eHiIj8igp/PFF1/g2LFjCA8Ph7e3N27duoXk5GT07t0bJ06cQPfu3aVu0ahdu3YNVVVVmDhxIlxdXfHw4UNkZmYiNDQUGzZswJQpU6Ru0WQUFxdj2bJlep/hSk82e/Zs9O3bV2esW7duEnVjWv71r38hNDQUvXv3xuLFi2Fra4srV67g5s2b7dYD78FqI82PdFixYgXmzJkDAKitrYWXlxc6deqEo0ePStyh8auvr8e9e/fg4uKCwsJC%2BPj4IDU1FePHj5e6NaN3/Phx9O3bF2Zm//0b6vLly%2BjZsyfCw8N5JvA3EAQBvXv3Rm1tLc6dOyd1OyZjzJgxKC8vR0NDA8rLy/Gf//xH6paMXm5uLt555x1kZGTg/fffl7odk1NZWQmVSoWBAwdi586dkvXBS4RtJCMjA2ZmZoiKihLHLC0tMXnyZOTl5aG4uFjC7kyDubk5XFxcpG7DJPn5%2BemEK%2BDXv3x79OghfnQEPRuZTAZ3d3fcv39f6lZMxpEjR5CVlYVVq1ZJ3YrJqqqqQmNjo9RtmJStW7fi9u3biI%2BPBwA8fPgQUpxLYsBqI0VFRVCpVHqnxX19fcX9RO2ttLQUTk5OUrdhMh4%2BfIjy8nL8/PPPSEpKwoEDB/hIlqfU1NSEmJgYREVFoUePHlK3Y5ImTZoEe3t7KBQKBAYGorCwUOqWTMKhQ4dgb2%2BPGzdu4I033oCtrS3s7e0xbdq0Fj9PuK3wHqw2otFooFQq9caVSiUEQUBJSYkEXdHLLC0tDcXFxfj888%2BlbsVkzJs3D%2BvXrwfw6wfvjh49GsnJyRJ3ZRpSUlJw/fp1fPfdd1K3YnIsLCwQFhaGYcOGwcnJCefOnUNiYiL8/f1x7Ngx9OrVS%2BoWjdqlS5dQX1%2BPkSNHIioqCgkJCTh8%2BDBWr16NioqKdvvgbAasNqLVamFpaak3rlAoxP1E7eXChQuYMWMGBgwYwHvYnsGcOXMQHh6OkpIS7NixA42Nje36F7Cpunv3LpYsWYLFixfDwcFB6nZMTr9%2B/dCvXz/x%2B5CQEIwePRre3t5YtGgRvv32Wwm7M35VVVXQarWYOnUqkpKSAAB//OMfUVtbiw0bNuCzzz6Dp6dnm/fBS4RtxMrKqsX/iGtqasT9RO2htLQUw4cPx6uvvoqdO3dCJpNJ3ZLJUKlUCAwMxJ///Gfs2bMHlZWVCA0Nlboto/eXv/wFjo6OmDFjhtStvDA8PT0xcuRI5OTkSHI/kSlp/v06ZswYnfEPPvgAgiAgLy%2BvXfpgwGojSqUSGo1Gb7x5zNXVtb1bopfQgwcPMHToUDx48AD//Oc/0blzZ6lbMmlhYWE4efIknyf2GJcvX8bGjRsRExOD4uJiXLt2DVevXkVNTQ3q6%2Btx7do13Lt3T%2Bo2TZK7uzvq6upQXV0tdStGrfn3a6dOnXTGm9801V7//hiw2oharcbFixdRVVWlM378%2BHHIZDKo1WqJOqOXRW1tLUJCQnD58mXs378ff/jDH6RuyeQ1X9qvqKiQuBPjVVxcDEEQEBMTgy5duqBLly7o2rUrTpw4gZ9%2B%2Bgldu3ZFXFyc1G2apCtXrkChUPCZYk/Qp08fANB7t37zvc/Ozs7t0gcDVhsJCwtDQ0MDNmzYII7V1dUhNTUVfn5%2BcHNzk7A7etE1NTUhIiICJ06cQEZGhvjuVXo6d%2B7c0RtraGjA3//%2Bd1hZWfFBrY/h5eWFXbt2YdeuXdi9e7e49ejRAx4eHti9ezcmT54sdZtGraysTG/s9OnT2Lt3L4KDgyXoyLRERERAEARs2rRJZ3zjxo0wNzdHQEBAu/TBm9zbiK%2BvL8LDw7Fo0SKUlpaKT3K/du0aNm/eLHV7JuOrr77C/fv3xb9E9uzZgxs3bgAAYmJiYGdnJ2V7Rmvu3LnYu3cvQkNDUVZWpveumT/96U8SdWYaPvroIzx48AD%2B/v5wc3PDrVu3sHXrVvz0009YuXIlrK2tpW7RaDk6OrZ4n1pSUhJkMhlGjBghQVemJTIyElZWVujfvz9cXFxw9uxZbNy4Eba2tli2bJnU7Rk9tVqNDz/8EJs3b0Z9fT0GDRqEnJwcZGZmIjY2tv1ulRCozdTW1goLFiwQXF1dBSsrK%2BGtt94SDh48KHVbJuW1114T5HJ5i9u1a9ekbs9oBQQEtLpucrlc6vaM3vbt24UhQ4YISqVSsLCwEBwdHYUhQ4YI%2B/btk7o1kxUQECB4e3tL3YZJSE5OFvz8/AQnJyfBwsJCcHNzEyZMmCBcuXJF6tZMRkNDg/DZZ58JXbp0ESwtLQWVSiWsXr26XXvgR%2BUQERERGRjvwSIiIiIyMAYsIiIiIgNjwCIiIiIyMAYsIiIiIgNjwCIiIiIyMAYsIiIiIgNjwCIiIiIyMAYsIiIiIgNjwCIiIqI2V11djSVLluC9996Do6Mj5HI5tmzZ8lxzFhYWIiQkBEqlEnZ2dujVqxeSk5PR1NRkoK5/OwYsIiIianNlZWWIi4vDhQsXoFarIZPJnmu%2BU6dOYcCAAbh%2B/To%2B/vhjrFy5Ep6enpg1axbmzZtnoK5/O35UDhEREbW5%2Bvp63Lt3Dy4uLigsLISPjw9SU1Mxfvz43zRfdHQ0vv76a9y6dQsdO3YUxwMCAnD69Gncu3fPUK3/JjyDRURERG3O3NwcLi4uT1V74MAB%2BPv7w9bWFvb29ggJCcG5c%2Bd0aiorK6FQKHTCFQB07twZVlZWBuv7t2LAIiIiIqPx9ddfIyQkBHZ2dvjb3/6GxYsX4/z583j77bdx/fp1sS4gIAAPHjxAdHQ0Lly4gOvXr2PdunXYvXs3YmNjJfwJfsVLhERERNSuWrtEWF1dDXd3d0RGRiIlJUUcv3PnDlQqFSIjI7Fu3ToAQFNTE2bPno3169ejvr4eAGBmZoY1a9YgOjq6fX%2BgFphJ3QARERERABw8eBAVFRUYM2YMysvLxXGZTIa33noLOTk54phcLoenpyeGDh2KiIgIWFpaIj09HTNmzEDnzp0RGhoqxY8gYsAiIiIio3Dp0iUIgoB33nlHb59MJoO9vb34fUJCApKTk3Hp0iVYW1sDAMLCwhAYGIjp06cjJCQEcrl0d0IxYBEREZFRaGpqgkwmQ1paGjp16qS338zsv7ElJSUFgYGBYrhqFhoainnz5uHq1avo2rVrm/fcGgYsIiIiMgqenp4QBAHOzs4IDAx8bG1paSkaGxv1xpvvx2poaGiTHp8W30VIRERERiE4OBj29vZYunRpiwGprKxM/FqlUuHgwYM6z7tqamrC9u3bYWdnB09Pz3bpuTX/D3c4TOSX9cVYAAAAAElFTkSuQmCC\"/>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-6326444397189143252\">\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">35878</td>\n",
-       "        <td class=\"number\">8.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">3600.0</td>\n",
-       "        <td class=\"number\">1830</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">95000.0</td>\n",
-       "        <td class=\"number\">1327</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">100000.0</td>\n",
-       "        <td class=\"number\">1198</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">105000.0</td>\n",
-       "        <td class=\"number\">1191</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">97000.0</td>\n",
-       "        <td class=\"number\">1156</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">110000.0</td>\n",
-       "        <td class=\"number\">1131</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">109000.0</td>\n",
-       "        <td class=\"number\">1127</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">107000.0</td>\n",
-       "        <td class=\"number\">1113</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">99000.0</td>\n",
-       "        <td class=\"number\">1089</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (12407)</td>\n",
-       "        <td class=\"number\">380722</td>\n",
-       "        <td class=\"number\">89.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-6326444397189143252\">\n",
-       "            <p class=\"h4\">Minimum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">35878</td>\n",
-       "        <td class=\"number\">8.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">100.0</td>\n",
-       "        <td class=\"number\">57</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">200.0</td>\n",
-       "        <td class=\"number\">35</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">300.0</td>\n",
-       "        <td class=\"number\">77</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">400.0</td>\n",
-       "        <td class=\"number\">63</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "            <p class=\"h4\">Maximum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">136448400.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">167267200.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">170681400.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">175027000.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">552458400.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">EMV_LAND<br/>\n",
-       "            <small>Numeric</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>9151</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>2.1%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "\n",
-       "                <tr>\n",
-       "                    <th>Mean</th>\n",
-       "                    <td>100420</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>96792000</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"alert\">\n",
-       "                    <th>Zeros (%)</th>\n",
-       "                    <td>5.4%</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram5626572432776039023\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABPVJREFUeJzt3E9IVGscxvHnHBpxwH9Djo3gTEe9pi5CEURkMKONCbMJ4tKirdlCkRAlWhhcdy7ctEiXjrPThaAgrdtmVqBjQ9FwKkqREJ2QK42/u6m5ze32w0nPnDGeD8xiDu857yu8X2bGMwpxQSwWEwB88JHTIxaL5X2vnoELLMsCAIyOjiIYDB75PJ/Ph%2BbmZodWRYUqHo/j5s2bmX2TT64E4vV6AQATExM5nWeaJp49e4aLFy86sSwqcN/2TT65Esg3f/z5F7xV1pHG/r2ziURsBJ8%2BfXJ2UUTfcTUQT4kPRWX%2BI409/HLg8GqIfmS6vQCiQsZAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESHHGjUn39/cBAInoMAzzaI3K4SEAYHV1Fe/evctpPtM0cfj1fKfP41wnc15lZSX8fj8AIB6PA/h33%2BSTK4Ekk0kAQPrLQc7n3rlz54RXQ6dFMplEOBzO65yGiEheZwSwvb2NR48ewbIseL3efE9Pp8z%2B/j6SySR6enpQWVmZ17ldCYTotOCHdCIFAyFSOBrIq1evEA6H0djYiI6OjsxvI/5raWkJzc3NaGxsxPXr15FKpZxcFhWgoaEh1NbWwjRNvHjx4qfj8r5XxEFXrlyRaDQqIiLz8/PS3t7%2Bw5hUKiXnzp2TRCIhIiIDAwMyMjLi5LKoAD1%2B/Fjev38vtbW18vz58/8d48ZecSyQra0tKS8vl3Q6nTkWCATk9evXWePm5uakt7c383x9fV1qamqcWhYVOMuyfhqIG3vFsbdYb9%2B%2BRXV1NczvbgSGQiHYtp01zrZtnD9/PvPcsix8/Pjxl24u0e/Njb3CD%2BlECscCCQaD%2BPDhQ1bdtm0jFApljQuFQpk76wDw5s2bH155iAB39opjV/b7/Whra8Ps7CwAYH5%2BHsFgEHV1dVnjrl69itXVVSQSCQDAw4cPcePGDaeWRaeYK3vFyQ84L1%2B%2BlM7OTrlw4YK0t7fL2tqaiIiMjY3J9PR0Ztzi4qI0NTVJQ0ODXLt2TXZ3d51cFhWg/v5%2BqampEY/HI4FAQBoaGkTE/b3Cr5oQKfhGn0jBQIgUDIRIwUCIFAyESMFAiBQMhHLy%2BfNn3L9/H729vTh79ixM00Q0Gj3WNVdWVhCJRFBdXY3S0lK0tLTgwYMHBfF9PAZCOdne3sb4%2BDg2NjbQ2toKwzCOdb2nT58iHA7Dtm3cvXsXk5OTqK%2Bvx9DQEIaHh09o1cfg6G1I%2Bu0cHBzI5uamiIg8efJEDMOQmZmZX75eX1%2BfFBcXy87OTtbx7u5uqaioONZaTwJfQSgnHo8HVVVVRxq7vLyMS5cuoaSkBGVlZYhEIlhfX88as7e3h%2BLiYpSXl2cdDwQCBfEfbxgIOWJ2dhaRSASlpaWYmJjA2NgY4vE4urq6sv4m6PLly9jd3cWtW7ewsbEB27YxNTWFhYUF3Lt3z8Wf4Cu3X8Lo9PrZW6xUKiU%2Bn09u376ddXxra0sqKiqkv78/cyydTsvg4KAUFRWJYRhiGIZ4PJ6sLyi66R%2BC6o1wjjV7ZQAAAABJRU5ErkJggg%3D%3D\">\n",
-       "\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives5626572432776039023,#minihistogram5626572432776039023\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives5626572432776039023\">\n",
-       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
-       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles5626572432776039023\"\n",
-       "                                                  aria-controls=\"quantiles5626572432776039023\" role=\"tab\"\n",
-       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#histogram5626572432776039023\" aria-controls=\"histogram5626572432776039023\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#common5626572432776039023\" aria-controls=\"common5626572432776039023\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#extreme5626572432776039023\" aria-controls=\"extreme5626572432776039023\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
-       "\n",
-       "    </ul>\n",
-       "\n",
-       "    <div class=\"tab-content\">\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles5626572432776039023\">\n",
-       "            <div class=\"col-md-4 col-md-offset-1\">\n",
-       "                <p class=\"h4\">Quantile statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Minimum</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>5-th percentile</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q1</th>\n",
-       "                        <td>25300</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Median</th>\n",
-       "                        <td>50200</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q3</th>\n",
-       "                        <td>100000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>95-th percentile</th>\n",
-       "                        <td>267600</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Maximum</th>\n",
-       "                        <td>96792000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Range</th>\n",
-       "                        <td>96792000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Interquartile range</th>\n",
-       "                        <td>74700</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "            <div class=\"col-md-4 col-md-offset-2\">\n",
-       "                <p class=\"h4\">Descriptive statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Standard deviation</th>\n",
-       "                        <td>369410</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Coef of variation</th>\n",
-       "                        <td>3.6788</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Kurtosis</th>\n",
-       "                        <td>13821</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Mean</th>\n",
-       "                        <td>100420</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>MAD</th>\n",
-       "                        <td>90303</td>\n",
-       "                    </tr>\n",
-       "                    <tr class=\"alert\">\n",
-       "                        <th>Skewness</th>\n",
-       "                        <td>73.643</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Sum</th>\n",
-       "                        <td>42955000000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Variance</th>\n",
-       "                        <td>136470000000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Memory size</th>\n",
-       "                        <td>3.3 MiB</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram5626572432776039023\">\n",
-       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtUVOe9P/73DAPOOCDK4GUgxEZlatBEFOX0qFFKICAq/mxgFCNUY8SgCF4OmpKLnniwoqhYDYgtaSWIFkElxqoJVuOVRESWxojGJiZcJiYjDXIZrrN/f7jYX3cGvLQDFH2/1nIhz37vz/Ows1b8rL03z8gEQRBARERERFYj7%2BoFEBERET1u2GARERERWRkbLCIiIiIrY4NFREREZGVssIiIiIisjA0WERERkZWxwSIiIiKyMjZYRERERFbGBouIiIjIythgEREREVkZGywiIiIiK2ODRURERGRlbLCIiIiIrIwNFhEREZGVscEiIiIisjI2WERERERWxgaLiIiIyMrYYBERERFZGRssIiIiIitjg0VERERkZWywiIiIiKyMDRYRERGRlbHBIiIiIrIyNlhEREREVsYGi4iIiMjK2GARERERWRkbLCIiIiIrY4NFREREZGVssIiIiIisjA0WERERkZWxwSIiIiKysk5rsBISEiCXy/H8889LxufOnQu5XG7xx8PDo8066enp8PDwgEqlgk6nw7Zt29rMVVVVITIyEv369YO9vT18fX1x8eLFNrNnz57F%2BPHjoVarodVqERsbi9raWoucIAhYv349Bg0aBJVKhREjRmDPnj2PeCWIiIjocafojEnKy8vx%2B9//Hvb29m0eVyqVSE9PhyAI4pijo6NFLi0tDVFRUQgNDcXy5ctx6tQpxMTEwGQyIS4uTswJgoCgoCBcvnwZK1asgEajQUpKCnx8fFBUVITBgweL2eLiYvj5%2BcHDwwObN29GWVkZNmzYgBs3buDQoUOS%2BePj45GYmIgFCxZg9OjRyMvLw6xZsyCXy6HX6//dy0RERESPC6ETzJgxQ/Dz8xN8fHyE5557TnJszpw5goODwwNrmEwmwdnZWQgODpaMz549W3BwcBB%2B%2Buknceyvf/2rIJPJhH379oljP/74o9CnTx/hlVdekZw/adIkwdXVVaipqRHH/vSnPwlyuVz45JNPxLHy8nLBzs5OiImJkZw/YcIE4emnnxbMZvMDfwYiIiJ6MnT4I8KTJ09i3759SE5Ovm/ObDajurq63ePHjx9HZWUlFi5cKBlftGgRampqJHebcnNzMWDAAEyfPl0cc3Z2hl6vR15eHpqamgAA1dXVyM/PR3h4ONRqtZiNiIiAWq1Gdna2OHbgwAE0NzcjKipKMn9UVBTKyspw7ty5%2B/58RERE9OTo0AbLbDYjJiYG8%2BfPx7Bhw9rN1dXVoVevXnB0dIRGo0F0dLTFO1Ct7095eXlJxr28vCCXyyXvV128eBGjRo2ymMfb2xt1dXW4fv06AODy5ctobm62qGlrawtPT09JzeLiYqjVagwdOtSipiAI7b7fRURERE%2BeDn0HKzU1Fd999x3%2B/ve/t5txcXHBihUrMGrUKJjNZhw5cgQpKSm4dOkSTpw4Abn8bg9oMBhgY2MDZ2dnyfm2trbQaDSoqKgQxwwGAyZOnGgxl1arBQBUVFRg2LBhMBgMkMlk4vjPs6dPn5bU7N%2B//31rEhEREQEd2GBVVlZi1apVeOedd%2BDk5NRuLiEhQfK9Xq%2BHu7s73nrrLeTk5Igvj5tMJtjZ2bVZQ6lUwmQyid%2BbTCb06NGjzZwgCGK29Wt72YeteW8tIiIiog5rsN58803xcd%2BjWrp0Kd5%2B%2B23k5%2BeLDZZKpUJjY2Ob%2Bfr6eqhUKvF7lUqFhoaGNnMymUzMtn5tL/uwNe%2Bt1Raj0YijR4/iF7/4xX1zREREZD0mkwk3b95EQECAxROwjtYhDdaNGzfwxz/%2BEVu2bEF5eTmAu1sn1NfXo6mpCd9%2B%2By169eqFPn36tHm%2BUqmERqNBZWWlOKbVatHS0gKj0Si5SE1NTbh9%2BzZcXFwkWYPBYFG3daw1q9VqIQhCu9mf1zxx4sQDa7bl6NGjmD17drvHiYiIqONkZmbilVde6dQ5O6TBKi8vhyAIiImJweLFiy2ODxo0CLGxsdi0aVOb59fU1MBoNKJv377imKenJwRBQGFhIQIDA8Xx8%2BfPw2w2w9PTU5K99/2pVgUFBejZsyd0Oh0AYPjw4VAoFCgsLERISIiYa2pqQnFxMWbMmCGpmZ6ejpKSEsmL7gUFBZDJZJL5f%2B4Xv/gFgLv/gZ999tl2c9Rxli5dis2bN3f1Mp5YvP5di9e/a/H6d52rV69i9uzZ4r/DnalDGqzhw4dj//79FuNvvvkmampq8Ic//AGDBg1CQ0MDmpqaLDYgfffddwEAkyZNEsd8fX3h5OSE1NRUSYOVmpoKtVqNyZMni2MhISHIzc3Fvn378Jvf/AbA3cd0OTk5CA4Ohq2tLQCgV69e8PPzQ2ZmJt5%2B%2B21xq4aMjAzU1tZKNg%2BdNm0ali5dipSUFPzhD38Qx7dv3w5XV1eMHTu23evR%2Bljw2WefbfO3G6njOTo68tp3IV7/rsXr37V4/bteV7ye0yENlkajQXBwsMX45s2bIZPJMHXqVADAt99%2Bi5EjRyIsLEy8K3TkyBEcPnwYQUFBkhpKpRJr1qxBdHQ09Ho9AgICcPLkSWRlZWHt2rXo3bu3mA0JCUFycjLmzp2LK1euwNnZGSkpKTCbzVi9erVkTQkJCRg3bhwmTJiAyMhIlJaWYtOmTQgICIC/v7%2BYc3V1xZIlS5CUlITGxkaMGTMG%2B/fvx5kzZ5CVlQWZTGbNS0hERETdWKd8VM697m1EevfujalTpyI/Px8ZGRloaWnBkCFDsG7dOixfvtzi3KioKNjZ2WHjxo04ePAg3NzckJycbPEYUi6X4/Dhw4iLi8PWrVthMpng7e2NjIwMuLu7S7IjR45Efn4%2BVq5ciWXLlsHBwQHz58/H2rVrLeZPTEyEk5MT0tLSsHPnTri7u2PXrl2SR4lEREREndpgHT9%2BXPK9o6Mjdu7c%2BUg15s2bh3nz5j0w5%2BjoiB07dmDHjh0PzI4dOxanTp16qPlXrlyJlStXPlSWiIiInkwd/lE5RP8JwsLCunoJTzRe/67F69%2B1eP2fTGyw6InA/8F1LV7/rsXr37V4/Z9MbLCIiIiIrIwNFhEREZGVscEiIiIisjI2WERERERWxgaLiIiIyMrYYBERERFZGRssIiIiIivr9I/KeZIFT/v/0EOp7OplPBKduztyc/aiZ8%2BeXb0UIiKiboMNVicy9XZHs7pPVy/joTVWG3Hk8N/w3XffiR/GTURERA/GBqsT9feejp4DhnT1Mh5aTekX%2BOeXn3b1MoiIiLodvoNFREREZGVssIiIiIisjA0WERERkZWxwSIiIiKyMjZYRERERFbGBouIiIjIythgEREREVkZGywiIiIiK2ODRURERGRlbLCIiIiIrKzTGqyEhATI5XI8//zzFsdKSkoQGBgIBwcHaDQaREREwGg0tlknPT0dHh4eUKlU0Ol02LZtW5u5qqoqREZGol%2B/frC3t4evry8uXrzYZvbs2bMYP3481Go1tFotYmNjUVtba5ETBAHr16/HoEGDoFKpMGLECOzZs%2BcRrgIRERE9CTqlwSovL8fvf/972Nvbt3nshRdewNdff41169YhLi4Ohw4dwksvvYTm5mZJNi0tDfPnz8dzzz2Hbdu2YezYsYiJicGGDRskOUEQEBQUhD179ojHf/zxR/j4%2BOAf//iHJFtcXAw/Pz/U19dj8%2BbNmD9/Pnbs2AG9Xm%2Bx1vj4eLzxxhsICAjAtm3bMHDgQMyaNQvZ2dlWuEpERET0uOiUD3tevnw5/vu//xvNzc24ffu25FhCQgJMJhOKi4vh6uoKABgzZgz8/f3xl7/8Ba%2B99hoAoL6%2BHm%2B99RamTp2Kv/71rwCAefPmoaWlBWvWrEFkZCQcHR0BAHv37sW5c%2BeQm5uL6dOnAwBCQ0Oh0%2BmwatUqZGZmivPHx8fDyckJn376KdRqNQBg4MCBiIyMRH5%2BPvz8/AAAFRUV2LRpExYvXowtW7aI80%2BcOBFxcXEIDQ2FTCbrqEtIRERE3UiH38E6efIk9u3bh%2BTk5DaP79u3D1OmTBGbKwB48cUXodPpJHeGjh8/jsrKSixcuFBy/qJFi1BTU4NDhw6JY7m5uRgwYIDYXAGAs7Mz9Ho98vLy0NTUBACorq5Gfn4%2BwsPDxeYKACIiIqBWqyXzHzhwAM3NzYiKipLMHxUVhbKyMpw7d%2B5RLgsRERE9xjq0wTKbzYiJicH8%2BfMxbNgwi%2BMVFRX44YcfMHr0aItj3t7eknemWv/u5eUlyXl5eUEul1tkR40a1WbNuro6XL9%2BHQBw%2BfJlNDc3W9S0tbWFp6enpGZxcTHUajWGDh1qUVMQhHbf7yIiIqInT4c2WKmpqfjuu%2B%2BwZs2aNo8bDAYAgFartTim1WpRWVkp3m0yGAywsbGBs7OzJGdrawuNRoOKigpJ3fZqAhCzBoMBMpms3ezPa/bv3/%2BBNYmIiIg6rMGqrKzEqlWr8M4778DJyanNjMlkAgD06NHD4phSqZRkTCYT7Ozs2qyjVCrFXGu2vZqCIEhq3m/%2Bh615by0iIiKiDmuw3nzzTWg0GkRHR7ebUalUAICGhgaLY/X19ZKMSqVCY2Njm3Xq6%2BvFXGu2vZoymUxS837zP2zNe2sRERERdchvEd64cQN//OMfsWXLFpSXlwO4u3VCfX09mpqa8O2336JXr17i47XWR4X3MhgMcHJygq2tLYC7j%2BJaWlpgNBoljwmbmppw%2B/ZtuLi4iGNarbbdmgDErFarhSAI7WZ/XvPEiRMPrHk/pZ%2BkwUaplow5efjAaZjPA88lIiKi9u3evRu7d%2B%2BWjFVVVXXRajqowSovL4cgCIiJicHixYstjg8aNAixsbHYtGkT%2Bvbti8LCQovM559/Dk9PT/F7T09PCIKAwsJCBAYGiuPnz5%2BH2Wy2yJ4%2BfdqiZkFBAXr27AmdTgcAGD58OBQKBQoLCxESEiLmmpqaUFxcjBkzZkhqpqeno6SkRPKie0FBAWQymWT%2B9rj5L0DPAUMemCMiIqJHExYWhrCwMMlYUVGRxS%2BydZYOeUQ4fPhw7N%2B/H/v378eBAwfEP8OGDcPAgQNx4MABzJs3DwDw8ssv46OPPhLvdAHAsWPHcP36dclmn76%2BvnByckJqaqpkrtTUVKjVakyePFkcCwkJwa1bt7Bv3z5xzGg0IicnB8HBweJdsV69esHPzw%2BZmZmSndszMjJQW1srmX/atGlQKBRISUmRzL99%2B3a4urpi7Nix/84lIyIiosdIh9zB0mg0CA4OthjfvHkzZDIZpk6dKo7Fx8cjJycHPj4%2BiI2NRXV1NZKSkjBixAjMmTNHzCmVSqxZswbR0dHQ6/UICAjAyZMnkZWVhbVr16J3795iNiQkBMnJyZg7dy6uXLkCZ2dnpKSkwGw2Y/Xq1ZI1JSQkYNy4cZgwYQIiIyNRWlqKTZs2ISAgAP7%2B/mLO1dUVS5YsQVJSEhobGzFmzBjs378fZ86cQVZWFjcZJSIiIlGn7OR%2Br583Ik899RQ%2B/fRTLFu2DL/73e9gZ2eHKVOmICkpSbzT1CoqKgp2dnbYuHEjDh48CDc3NyQnJ1s8hpTL5Th8%2BDDi4uKwdetWmEwmeHt7IyMjA%2B7u7pLsyJEjkZ%2Bfj5UrV2LZsmVwcHDA/PnzsXbtWou1JyYmwsnJCWlpadi5cyfc3d2xa9cuyaNEIiIiIpkgCEJXL%2BJx1/oM%2BNlXt3ard7BqSr/AtQ/icPXqVYsNVomIiP7Ttf77e%2BHChTY3IO9InfJhz0RERERPEjZYRERERFbGBouIiIjIythgEREREVkZGywiIiIiK2ODRURERGRlbLCIiIiIrIwNFhEREZGVscEiIiIisjI2WERERERWxgaLiIiIyMrYYBERERFZGRssIiIiIitjg0VERERkZWywiIiIiKyMDRYRERGRlbHBIiIiIrIyNlhEREREVsYGi4iIiMjK2GARERERWRkbLCIiIiIr67AG68svv4Rer8fgwYOhVqvRt29fTJw4ER999JEkN3fuXMjlcos/Hh4ebdZNT0%2BHh4cHVCoVdDodtm3b1mauqqoKkZGR6NevH%2Bzt7eHr64uLFy%2B2mT179izGjx8PtVoNrVaL2NhY1NbWWuQEQcD69esxaNAgqFQqjBgxAnv27HnEK0NERESPO0VHFf72229RU1ODOXPmwMXFBXV1dcjNzUVwcDB27NiB1157TcwqlUqkp6dDEARxzNHR0aJmWloaoqKiEBoaiuXLl%2BPUqVOIiYmByWRCXFycmBMEAUFBQbh8%2BTJWrFgBjUaDlJQU%2BPj4oKioCIMHDxazxcXF8PPzg4eHBzZv3oyysjJs2LABN27cwKFDhyTzx8fHIzExEQsWLMDo0aORl5eHWbNmQS6XQ6/XW/PyERERUTcmE%2B7tajqYIAgYNWoUGhoa8OWXXwK4ewcrNzcXd%2B7cue%2B59fX1cHNzw9ixY5GXlyeOh4eHIy8vD6WlpWJTlp2djZkzZyI3NxfTp08HABiNRuh0OgQFBSEzM1M8PygoCJcuXcK1a9egVqsB3L1LFhkZiaNHj8LPzw8AUFFRgWeeeQavv/46tmzZIp4/ceJE3Lx5Ezdv3oRMJmtz7UVFRfDy8sKzr25FzwFDHvWydZma0i9w7YM4XL16FUOHDu3q5RARET2S1n9/L1y4gFGjRnXq3J36DpZMJoObmxt%2B%2Bukni2NmsxnV1dXtnnv8%2BHFUVlZi4cKFkvFFixahpqZGcrcpNzcXAwYMEJsrAHB2doZer0deXh6ampoAANXV1cjPz0d4eLjYXAFAREQE1Go1srOzxbEDBw6gubkZUVFRkvmjoqJQVlaGc%2BfOPeRVICIiosddhzdYdXV1uH37Nr7%2B%2Bmts3rwZhw8fFu8K3Zvp1asXHB0dodFoEB0dbfEOVOv7U15eXpJxLy8vyOVyyftVFy9ebLNT9fb2Rl1dHa5fvw4AuHz5Mpqbmy1q2trawtPTU1KzuLgYarXa4k6Ot7c3BEFo9/0uIiIievJ02DtYrZYvX460tDQAgFwux8svv4ytW7eKx11cXLBixQqMGjUKZrMZR44cQUpKCi5duoQTJ05ALr/bAxoMBtjY2MDZ2VlS39bWFhqNBhUVFeKYwWDAxIkTLdai1WoB3H3cN2zYMBgMBshkMnH859nTp09Lavbv3/%2B%2BNYmIiIiATmiwli5ditDQUFRUVCA7OxstLS1oaGgQjyckJEjyer0e7u7ueOutt5CTkyO%2BPG4ymWBnZ9fmHEqlEiaTSfzeZDKhR48ebeYEQRCzrV/byz5szXtrEREREXX4I0KdTgdfX1/Mnj0bH374IaqrqxEcHHzfc5YuXQqZTIb8/HxxTKVSobGxsc18fX09VCqVJHtvE3dvTiaTidnWr%2B1lH7bmvbWIiIiIOvwO1s%2BFhITg9ddfx1dffQV3d/c2M0qlEhqNBpWVleKYVqtFS0sLjEaj5DFhU1MTbt%2B%2BDRcXF0nWYDBY1G0da81qtVoIgtBu9uc1T5w48cCa91P6SRpslGrJmJOHD5yG%2BTzwXCIiImrf7t27sXv3bslYVVVVF62mCxqs1kdp9/uha2pqYDQa0bdvX3HM09MTgiCgsLAQgYGB4vj58%2BdhNpvh6ekpyd77/lSrgoIC9OzZEzqdDgAwfPhwKBQKFBYWIiQkRMw1NTWhuLgYM2bMkNRMT09HSUmJ5EX3goICyGQyyfztcfNf0K22aSAiIuouwsLCEBYWJhlr3aahK3TYI8Iff/zRYqy5uRk7d%2B6ESqWCh4cHGhoaUFNTY5F79913AQCTJk0Sx3x9feHk5ITU1FRJNjU1FWq1GpMnTxbHQkJCcOvWLezbt08cMxqNyMnJQXBwMGxtbQEAvXr1gp%2BfHzIzMyW/tZiRkYHa2lrJ5qHTpk2DQqFASkqKZP7t27fD1dUVY8eOfajrQkRERI%2B/DruDtWDBAty5cwcTJkyAq6srvv/%2Be%2BzatQvXrl3Dpk2b0LNnT3z77bcYOXIkwsLCxLtCR44cweHDhxEUFCR5V0upVGLNmjWIjo6GXq9HQEAATp48iaysLKxduxa9e/cWsyEhIUhOTsbcuXNx5coVODs7IyUlBWazGatXr5asMyEhAePGjcOECRMQGRmJ0tJSbNq0CQEBAfD39xdzrq6uWLJkCZKSktDY2IgxY8Zg//79OHPmDLKystrdZJSIiIiePB3WYM2cORPp6enYvn07bt%2B%2BDQcHB3h5eWHDhg3i3abevXtj6tSpyM/PR0ZGBlpaWjBkyBCsW7cOy5cvt6gZFRUFOzs7bNy4EQcPHoSbmxuSk5OxePFiSU4ul%2BPw4cOIi4vD1q1bYTKZ4O3tjYyMDIv3vkaOHIn8/HysXLkSy5Ytg4ODA%2BbPn4%2B1a9dazJ%2BYmAgnJyekpaVh586dcHd3x65duySPEomIiIg69aNynlT8qBwiIqLO98R8VA4RERHRk4ANFhEREZGVscEiIiIisjI2WERERERWxgaLiIiIyMrYYBERERFZGRssIiIiIitjg0VERERkZWywiIiIiKyMDRYRERGRlbHBIiIiIrIyNlhEREREVsYGi4iIiMjK2GARERERWRkbLCIiIiIrY4NFREREZGVssIiIiIisjA0WERERkZWxwSIiIiKyMjZYRERERFbGBouIiIjIythgEREREVlZhzVYX375JfR6PQYPHgy1Wo2%2Bffti4sSJ%2BOijjyyyJSUlCAwMhIODAzQaDSIiImA0Gtusm56eDg8PD6hUKuh0Omzbtq3NXFVVFSIjI9GvXz/Y29vD19cXFy9ebDN79uxZjB8/Hmq1GlqtFrGxsaitrbXICYKA9evXY9CgQVCpVBgxYgT27NnzCFeFiIiIngQd1mB9%2B%2B23qKmpwZw5c/CHP/wB77zzDmQyGYKDg/GnP/1JzJWXl%2BOFF17A119/jXXr1iEuLg6HDh3CSy%2B9hObmZknNtLQ0zJ8/H8899xy2bduGsWPHIiYmBhs2bJDkBEFAUFAQ9uzZIx7/8ccf4ePjg3/84x%2BSbHFxMfz8/FBfX4/Nmzdj/vz52LFjB/R6vcXPFB8fjzfeeAMBAQHYtm0bBg4ciFmzZiE7O9uKV46IiIi6O5kgCEJnTSYIAkaNGoWGhgZ8%2BeWXAICFCxciIyMD165dg6urKwDg2LFj8Pf3x44dO/Daa68BAOrr6%2BHm5oaxY8ciLy9PrBkeHo68vDyUlpbC0dERAJCdnY2ZM2ciNzcX06dPBwAYjUbodDoEBQUhMzNTPD8oKAiXLl3CtWvXoFarAdy9SxYZGYmjR4/Cz88PAFBRUYFnnnkGr7/%2BOrZs2SKeP3HiRNy8eRM3b96ETCZr8%2BcuKiqCl5cXnn11K3oOGGKVa9kZakq/wLUP4nD16lUMHTq0q5dDRET0SFr//b1w4QJGjRrVqXN36jtYMpkMbm5u%2BOmnn8Sxffv2YcqUKWJzBQAvvvgidDqd5M7Q8ePHUVlZiYULF0pqLlq0CDU1NTh06JA4lpubiwEDBojNFQA4OztDr9cjLy8PTU1NAIDq6mrk5%2BcjPDxcbK4AICIiAmq1WjL/gQMH0NzcjKioKMn8UVFRKCsrw7lz5/7Vy0JERESPmQ5vsOrq6nD79m18/fXX2Lx5Mw4fPiy5K/TDDz9g9OjRFud5e3tL3plq/buXl5ck5%2BXlBblcbpFtq1P19vZGXV0drl%2B/DgC4fPkympubLWra2trC09NTUrO4uBhqtdriTo63tzcEQWj3/S4iIiJ68nR4g7V8%2BXL07dsXQ4YMQVxcHH7zm99g69atAACDwQAA0Gq1FudptVpUVlaKd5sMBgNsbGzg7Owsydna2kKj0aCiokIcMxgM7dYEIGYNBgNkMlm72Z/X7N%2B//wNrEhERESk6eoKlS5ciNDQUFRUVyM7ORktLCxoaGgAAJpMJANCjRw%2BL85RKpZixtbWFyWSCnZ1dm3MolUqxVus57dUUBEHMPmj%2Bh615by0iIiKiDr%2BDpdPp4Ovri9mzZ%2BPDDz9EdXU1goODAQAqlQoAxIbrXvX19ZKMSqVCY2Njm3PU19eLudZsezVlMpmk5v3mf9ia99YiIiIi6vA7WD8XEhKC119/HV999ZX4eK31UeG9DAYDnJycYGtrC%2BDuo7iWlhYYjUbJY8Kmpibcvn0bLi4u4phWq223JgAxq9VqIQhCu9mf1zxx4sQDa95P6SdpsFGqJWNOHj5wGubzwHOJiIiofbt378bu3bslY1VVVV20mi5osFofpVVVVcHd3R19%2B/ZFYWGhRe7zzz%2BHp6en%2BL2npycEQUBhYSECAwPF8fPnz8NsNltkT58%2BbVGzoKAAPXv2hE6nAwAMHz4cCoUChYWFCAkJEXNNTU0oLi7GjBkzJDXT09NRUlIiedG9oKAAMplMMn973PwXdKttGoiIiLqLsLAwhIWFScZat2noCh32iPDHH3%2B0GGtubsbOnTuhUqng4eEBAHj55Zfx0Ucfoby8XMwdO3YM169fl2z26evrCycnJ6SmpkpqpqamQq1WY/LkyeJYSEgIbt26hX379oljRqMROTk5CA4OFu%2BK9erVC35%2BfsjMzJTs3J6RkYHa2lrJ/NOmTYNCoUBKSopk/u3bt8PV1RVjx459pOtDREREj68Ou4O1YMEC3LlzBxMmTICrqyu%2B//577Nq1C9euXcOmTZvQs2dPAHd3R8/JyYGPjw9iY2NRXV2NpKQkjBgxAnPmzBHrKZVKrFmzBtHR0dDr9QgICMDJkyeRlZWFtWvXonfv3mI2JCQEycnJmDt3Lq5cuQJnZ2ekpKTAbDZj9erVknUmJCRg3LhxmDBhAiIjI1FaWopNmzYhICAA/v7%2BYs7V1RVLlixBUlISGhsbMWbMGOzfvx9nzpxBVlZWu5uMEhER0ZOnwxqsmTNnIj09Hdu3b8ft27fh4OAALy8vbNiwQXK36amnnsKnn36KZcuW4Xe/%2Bx3s7OwwZcoUJCUliXeaWkVFRcHOzg4bN27EwYMH4ebmhuTkZCxevFiSk8u%2Bi6j1AAAgAElEQVTlOHz4MOLi4rB161aYTCZ4e3sjIyMD7u7ukuzIkSORn5%2BPlStXYtmyZXBwcMD8%2BfOxdu1ai58pMTERTk5OSEtLw86dO%2BHu7o5du3ZJHiUSERERdepH5Typ%2BFE5REREne%2BJ%2BagcIiIioicBGywiIiIiK2ODRURERGRlbLCIiIiIrIwNFhEREZGVscEiIiIisjI2WERERERWJp86dSqys7PR0NDQ1WshIiIieizIv/zyS8ycORP9%2B/fHvHnzcOLEia5eExEREVG3Jv/HP/6BM2fO4JVXXsHBgwfx4osv4umnn8bvfvc7fPHFF129PiIiIqJuRw4A//3f/4333nsPBoMBH374IcaNG4etW7dixIgR8PT0xKZNm2AwGLp6rURERETdguQldxsbG0yePBm7d%2B9GWVkZQkJCcOnSJcTFxeHpp59GYGAgjh492lVrJSIiIuoWLH6LsKCgANHR0dDpdNi7dy%2BeffZZJCQkYN26dSgtLUVQUBD%2B93//tyvWSkRERNQtKADg%2BvXryMzMRFZWFr755hs4OzsjLCwM4eHhGD16tBhevnw55s2bh61bt2LVqlVdtmgiIiKi/2SK0aNH4%2BLFi7Czs8OUKVOwefNmTJo0CQqFos0T/Pz88Oc//7mTl0lERETUfSiUSiVSUlIwY8YM9O7d%2B4EnBAcH46uvvuqEpRERERF1T4rTp08/0glqtRqDBw/uoOUQERERdX/y4uJipKWltRvYsWMHLl261IlLIiIiIure5PHx8Th8%2BHC7gaNHj%2BLNN9/sxCURERERdW/ywsJCTJgwod3ACy%2B8gPPnz3fikoiIiIi6N3l1dTXs7OzaDdjY2KCqqqoTl0RERETUvcnd3d3xySeftBv4%2BOOP8cwzzzxy4cLCQkRHR2P48OGwt7fHwIEDMWPGDIvfQJw7dy7kcrnFHw8Pjzbrpqenw8PDAyqVCjqdDtu2bWszV1VVhcjISPTr1w/29vbw9fXFxYsX28yePXsW48ePh1qthlarRWxsLGpray1ygiBg/fr1GDRoEFQqFUaMGIE9e/Y84pUhIiKix51i7ty5WL58OVasWIG3334bDg4OAIA7d%2B5gzZo1%2BNvf/obExMRHLpyYmIizZ88iNDQUzz//PL7//nts3boVo0aNwmeffSZpoJRKJdLT0yEIgjjm6OhoUTMtLQ1RUVEIDQ3F8uXLcerUKcTExMBkMiEuLk7MCYKAoKAgXL58GStWrIBGo0FKSgp8fHxQVFQk%2BS3I4uJi%2BPn5wcPDA5s3b0ZZWRk2bNiAGzdu4NChQ5L54%2BPjkZiYiAULFmD06NHIy8vDrFmzIJfLodfrH/kaERER0eNJZjabhYiICOzatQsKhQJPPfUUAKCsrAzNzc0ICwtDZmYmZDLZIxUuKCjA6NGjJRuW3rhxA8899xxCQ0ORkZEB4O4drNzcXNy5c%2Be%2B9err6%2BHm5oaxY8ciLy9PHA8PD0deXh5KS0vFpiw7OxszZ85Ebm4upk%2BfDgAwGo3Q6XQICgpCZmameH5QUBAuXbqEa9euQa1WA7h7lywyMhJHjx6Fn58fAKCiogLPPPMMXn/9dWzZskU8f%2BLEibh58yZu3rzZ7jUqKiqCl5cXnn11K3oOGPLQ17Cr1ZR%2BgWsfxOHq1asYOnRoVy%2BHiIjokbT%2B%2B3vhwgWMGjWqU%2BeWy2QyfPDBBzh69CheffVVDBkyBEOGDMG8efPw8ccfY9euXY/cXAHAr371K4vd4IcMGYJhw4bh6tWrFnmz2Yzq6up26x0/fhyVlZVYuHChZHzRokWoqamR3G3Kzc3FgAEDxOYKAJydnaHX65GXl4empiYAQHV1NfLz8xEeHi42VwAQEREBtVqN7OxscezAgQNobm5GVFSUZP6oqCiUlZXh3Llz97scRERE9AQRP%2BzZ398f27dvx8cff4yPP/4Yqamp4t0ba7p16xacnZ0lY3V1dejVqxccHR2h0WgQHR1t8Q5U6/tTXl5eknEvLy/I5XLJ%2B1UXL15ss1P19vZGXV0drl%2B/DgC4fPkympubLWra2trC09NTUrO4uBhqtdriTo63tzcEQWj3/S4iIiJ68sgfHLGezMxMlJeXY%2BbMmeKYi4sLVqxYgb/85S/Ys2cPpk2bhpSUFEyaNAlms1nMGQwG2NjYWDRntra20Gg0qKiokGS1Wq3F/K1jrVmDwQCZTNZu9uc1%2B/fv/8CaRERERArg7jtH6enp%2BPrrr/HPf/5T8rI5AMhkMjQ0NPxbE5WUlCA6Ohrjxo1DRESEOJ6QkCDJ6fV6uLu746233kJOTo748rjJZGp3OwmlUgmTySR%2BbzKZ0KNHjzZzgiCI2dav7WUftua9tYiIiIgUb7zxBjZs2IDnnnsOISEh6NOnj9UnuXXrFiZPnow%2Bffpg7969D3yna%2BnSpXj77beRn58vNlgqlQqNjY1t5uvr66FSqcTvVSpVmw1hfX09ZDKZmG392l72YWveW4uIiIhI8f7772P69OnIycnpkAnu3LmDwMBA3LlzB6dPn8aAAQMeeI5SqYRGo0FlZaU4ptVq0dLSAqPRKHlM2NTUhNu3b8PFxUWSNRgMFnVbx1qzWq0WgiC0m/15zRMnTjyw5v2UfpIGG6VaMubk4QOnYT4PPJeIiIjat3v3buzevVsy1pUbpStMJhNeeumlDine0NCAKVOm4MaNGzh27Bh%2B%2BctfPtR5NTU1MBqN6Nu3rzjm6ekJQRBQWFiIwMBAcfz8%2BfMwm83w9PSUZE%2BfPm1Rt6CgAD179oROpwMADB8%2BHAqFAoWFhQgJCRFzTU1NKC4uxowZMyQ109PTUVJSInnRvaCgADKZTDJ/e9z8F3SrbRqIiIi6i7CwMISFhUnGWrdp6AryX//617hw4YLVC5vNZuj1enz22WfIycmBt7e3RaahoQE1NTUW4%2B%2B%2B%2By4AYNKkSeKYr68vnJyckJqaKsmmpqZCrVZj8uTJ4lhISAhu3bqFffv2iWNGoxE5OTkIDg6Gra0tAKBXr17w8/NDZmam5LcWMzIyUFtbK9k8dNq0aVAoFEhJSZHMv337dri6umLs2LEPdV2IiIjo8adISUnBSy%2B9hPXr1yMyMhK9e/e2SuFly5bh4MGDCA4OhtFoxK5duyTHX3nlFXz//fcYOXIkwsLCxLtCR44cweHDhxEUFITg4GAxr1QqsWbNGkRHR0Ov1yMgIAAnT55EVlYW1q5dK1l3SEgIkpOTMXfuXFy5cgXOzs5ISUmB2WzG6tWrJetISEjAuHHjMGHCBERGRqK0tBSbNm1CQEAA/P39xZyrqyuWLFmCpKQkNDY2YsyYMdi/fz/OnDmDrKysf2mvMCIiIno8yXr37i00Nzejrq4OAGBvbw8bGxtpSCbD7du3H6nwr3/9a5w8ebLd4y0tLaiqqkJMTAwKCgpQUVGBlpYWDBkyBLNnz8by5cst1gHc/Y3HjRs34ptvvoGbmxsWL16MxYsXW%2BSqqqoQFxeHAwcOwGQywdvbG0lJSRg5cqRF9uzZs1i5ciWKiorg4OCAGTNmYO3atZLNR1slJiYiLS0NBoMB7u7uiI%2BPl2w70Rbu5E5ERNT5unInd9krr7wiPMzdlw8%2B%2BKATlvN4YoNFRETU%2BbqywVLc%2B7l8RERERPTv69Sd3ImIiIieBHIAKCsrQ3R0NIYNG4a%2Bffvi1KlTAO7%2B5t2yZctQXFzcpYskIiIi6k4UJSUleOGFF9DU1IQxY8agpKQETU1NAABnZ2ccP34cd%2B7cwZ/%2B9KcuXioRERFR96BYsWIF7O3tUVBQABsbG/Tr108SmDx5Mvbu3dtFyyMiIiLqfuSffvopFi5ciP79%2B7e5l9PAgQNRXl7eBUsjIiIi6p7kLS0tbe731MpoNIo7nxMRERHRg8lHjhyJI0eOtHmwpaUFe/bswX/913918rKIiIiIui/5G2%2B8gUOHDmHx4sUoKSkBcPeu1YkTJxAYGIgvv/wSb7zxRhcvk4iIiKj7UEyePBnp6elYsmSJ%2BEHGrZ9GbW9vj/fffx8%2BPj5duEQiIiKi7kUBAHPmzMHLL7%2BMI0eO4MaNGzCbzRg8eDAmTZoER0fHrl4jERERUbeiaP2Lg4MDQkNDu3ItRERERI8FRUVFxUMFXVxcOngpRERERI8HxVNPPdXm/lc/19LS0gnLISIiIur%2BFDt27LBosFpaWnDz5k188MEH0Gq1WLBgQRctj4iIiKj7Ubz22mvtHoyPj4e3tzfq6%2Bs7cUlERERE3Zv8fgft7e3x6quvYuPGjZ21HiIiIqJu774NViuDwdDR6yAiIiJ6bCjaO1BXV4eTJ08iKSkJnp6enbkmIiIiom5NYWtr2%2BZvEba0tEAQBLi6uuK9997rgqURERERdU%2BKlStXWjRYMpkMffr0EXdzt7W17aLlEREREXU/iv/7v//r6jUQERERPVYe6iX3f0VhYSGio6MxfPhw2NvbY%2BDAgZgxYwa%2B%2Buori2xJSQkCAwPh4OAAjUaDiIgIGI3GNuump6fDw8MDKpUKOp0O27ZtazNXVVWFyMhI9OvXD/b29vD19cXFixfbzJ49exbjx4%2BHWq2GVqtFbGwsamtrLXKCIGD9%2BvUYNGgQVCoVRowYgT179jzCVSEiIqIngSIyMvKRT5LJZEhLS7tvJjExEWfPnkVoaCief/55fP/999i6dStGjRqFzz77DB4eHgCA8vJyvPDCC%2BjTpw/WrVuH6upqbNiwAV988QU%2B//xzKBT/7z38tLQ0REVFITQ0FMuXL8epU6cQExMDk8mEuLg4MScIAoKCgnD58mWsWLECGo0GKSkp8PHxQVFREQYPHixmi4uL4efnBw8PD2zevBllZWXYsGEDbty4gUOHDkl%2Bpvj4eCQmJmLBggUYPXo08vLyMGvWLMjlcuj1%2Bke%2BjkRERPR4kj311FOCyWRCZWUlgLsf%2BgwA1dXVAAAnJyeoVCrpSTIZvvvuu/sWLigowOjRoyUN0o0bN/Dcc88hNDQUGRkZAICFCxciIyMD165dg6urKwDg2LFj8Pf3x44dO9C6EWp9fT3c3NwwduxY5OXliTXDw8ORl5eH0tJSODo6AgCys7Mxc%2BZM5ObmYvr06QAAo9EInU6HoKAgZGZmiucHBQXh0qVLuHbtGtRqNYC7d8kiIyNx9OhR%2BPn5AQAqKirwzDPP4PXXX8eWLVvE8ydOnIibN2/i5s2b7X7kUFFREby8vPDsq1vRc8CQ%2B163/yQ1pV/g2gdxuHr1KoYOHdrVyyEiInokrf/%2BXrhwAaNGjerUueWffPIJevbsiRUrVqCiogJVVVWoqqpCRUUF4uLioFarkZ%2Bfj9LSUvHPg5orAPjVr34laa4AYMiQIRg2bBiuXr0qju3btw9TpkwRmysAePHFF6HT6ZCdnS2OHT9%2BHJWVlVi4cKGk5qJFi1BTUyO525Sbm4sBAwaIzRUAODs7Q6/XIy8vD01NTQDuNpH5%2BfkIDw8XmysAiIiIgFqtlsx/4MABNDc3IyoqSjJ/VFQUysrKcO7cuQdeEyIiInoyyKOjo%2BHv749169ZhwIAB4oEBAwYgMTERfn5%2BiI6OttqEt27dgrOzM4C7d4V%2B%2BOEHjB492iLn7e0teWeq9e9eXl6SnJeXF%2BRyuUW2rU7V29sbdXV1uH79OgDg8uXLaG5utqhpa2sLT09PSc3i4mKo1WqLOzne3t4QBKHd97uIiIjoySNvfZTXntGjR1vt7kxmZibKy8sxc%2BZMAP9vh3itVmuR1Wq1qKysFO82GQwG2NjYiM1ZK1tbW2g0GlRUVIhjBoOh3ZoAxKzBYIBMJms3%2B/Oa/fv3f2BNIiIiInnv3r1x9OjRdgOHDx8W3236d5SUlCA6Ohrjxo1DREQEAMBkMgEAevToYZFXKpWSjMlkgp2dXZu1lUqlmGvNtldTEARJzfvN/7A1761FREREJI%2BMjMSHH36Il19%2BGSdOnEBZWRnKyspw/Phx/OY3v8GhQ4ewYMGCf2uSW7duYfLkyejTpw/27t0rvgze%2BvJ8Q0ODxTn19fWSjEqlQmNjY5v16%2BvrJS/iq1SqdmvKZDJJzfvN/7A1761FREREpHj77bdhMpmwceNGHDhwQHLQxsYG//M//4N33nnnX57gzp07CAwMxJ07d3D69GnJe16tj9fa%2BjBpg8EAJycncRd5rVaLlpYWGI1GyWPCpqYm3L59Gy4uLpK67dUEIGa1Wi0EQWg3%2B/OaJ06ceGDN%2Byn9JA02SrVkzMnDB07DfB54LhEREbVv9%2B7d2L17t2Ssqqqqi1YDKGQyGX7/%2B99j6dKlOHr0qPgbggMHDoS/v3%2Bb7x09rIaGBkyZMgU3btzAsWPH8Mtf/lJy3MXFBX379kVhYaHFuZ9//rnkQ6Y9PT0hCAIKCwsRGBgojp8/fx5ms9kie/r0aYuaBQUF6NmzJ3Q6HQBg%2BPDhUCgUKCwsREhIiJhrampCcXExZsyYIamZnp6OkpISyYvuBQUFkMlkD/WB2G7%2BC7rVNg1ERETdRVhYGMLCwiRjrds0dAVxJ/d%2B/fohPDwcb775Jt58803Mnj3732quzGYz9Ho9PvvsM%2BTk5MDb27vN3Msvv4yPPvoI5eXl4tixY8dw/fp1yeadvr6%2BcHJyQmpqquT81NRUqNVqTJ48WRwLCQnBrVu3sG/fPnHMaDQiJycHwcHB4l2xXr16wc/PD5mZmZKd2zMyMlBbWyuZf9q0aVAoFEhJSZHMv337dri6umLs2LGPcnmIiIjoMaYA7jZD%2B/btw/Hjx/HDDz9g1apVGD58OO7cuYMTJ07gV7/6Ffr16/dIhZctW4aDBw8iODgYRqMRu3btkhx/5ZVXANzdHT0nJwc%2BPj6IjY1FdXU1kpKSMGLECMyZM0fMK5VKrFmzBtHR0dDr9QgICMDJkyeRlZWFtWvXonfv3mI2JCQEycnJmDt3Lq5cuQJnZ2ekpKTAbDZj9erVknUkJCRg3LhxmDBhAiIjI1FaWopNmzYhICAA/v7%2BYs7V1RVLlixBUlISGhsbMWbMGOzfvx9nzpxBVlZWu5uMEhER0ZNHVlVVJUyaNAnnzp2DSqVCfX09PvnkE/j6%2BqK5uRkDBw7EnDlzkJCQ8EiFf/3rX%2BPkyZPtHm9paRH/fvXqVSxbtgynT5%2BGnZ0dpkyZgqSkJPTt29fivPT0dGzcuBHffPMN3NzcsHjxYixevNgiV1VVhbi4OBw4cAAmkwne3t5ISkrCyJEjLbJnz57FypUrUVRUBAcHB8yYMQNr166VbD7aKjExEWlpaTAYDHB3d0d8fLy47UR7uJM7ERFR5%2BvKndxlUVFRQkZGBvbu3YvRo0ejf//%2ByM/Ph6%2BvLwAgNjYWJ0%2Be5Eaa/wY2WERERJ2vSz8qZ//%2B/Vi8eDEmTZoEuVxuEdDpdLh582anLoqIiIioO5P/85//xKBBg9oNNDc3i7upExEREdGDyQcPHnzfx3/5%2Bfl49tlnO3FJRERERN2bfN68eXj//feRm5srDspkMjQ1NWHVqlX429/%2BhsjIyC5cIhEREVH3oli6dCkuX76M0NBQaDQaAEB4eDiMRiMaGxsxb948zJ8/v4uXSURERNR9KGQyGf785z/jt7/9LXJycvDVV1/BbDZj8ODB0Ov14m8TEhEREdHDUfztb3/D008/DR8fH/j4%2BHT1eoiIiIi6Pfn06dNx6tSprl4HERER0WNDPmTIEFRWVnb1OoiIiIgeG/I33ngD7733Hm7cuNHVayEiIiJ6LCguXryIPn36wMPDAy%2B%2B%2BCJ%2B8YtfQKVSSUIymQwbN27soiUSERERdS%2BK5ORk8ZujR4%2B2GWKDRURERPTwFPwYHCIiIiLrUtjY2HT1GoiIiIgeK3IAuH37NmxsbPD3v/%2B9q9dDRERE1O3JW/8iCEJXroOIiIjosSF/cISIiIiIHgUbLCIiIiIrUxQVFaGqqgoA8NVXX6F3795tBkeNGtWZ6yIiIiLqthRjxowRv1m4cKFFQBAEyGQytLS0dOa6iIiIiLotxfvvv9/VayAiIiJ6rMh/%2B9vf4mH%2B/Ctqa2uxatUqTJo0CRqNBnK5HBkZGRa5uXPnQi6XW/zx8PBos256ejo8PDygUqmg0%2Bmwbdu2NnNVVVWIjIxEv379YG9vD19fX1y8eLHN7NmzZzF%2B/Hio1WpotVrExsaitrbWIicIAtavX49BgwZBpVJhxIgR2LNnzyNcFSIiInrcKTqyuNFoxJo1azBw4EB4enrixIkT7WaVSiXS09Ml20U4Ojpa5NLS0hAVFYXQ0FAsX74cp06dQkxMDEwmE%2BLi4sScIAgICgrC5cuXsWLFCmg0GqSkpMDHxwdFRUUYPHiwmC0uLoafnx88PDywefNmlJWVYcOGDbhx4wYOHTokmT8%2BPh6JiYlYsGABRo8ejby8PMyaNQtyuRx6vf7fuFpERET0uOjQBsvFxQXff/89%2BvXrhwsXLuDe970sFqJQICws7L716uvr8dZbb2Hq1Kn461//CgCYN28eWlpasGbNGkRGRopN2d69e3Hu3Dnk5uZi%2BvTpAIDQ0FDodDqsWrUKmZmZYt34%2BHg4OTnh008/hVqtBgAMHDgQkZGRyM/Ph5%2BfHwCgoqICmzZtwuLFi7FlyxZx/okTJyIuLg6hoaGQyWT/4tUiIiKix0WHbtNga2uLfv36PXTebDajurq63ePHjx9HZWWlxcv4ixYtQk1NjeRuU25uLgYMGCA2VwDg7OwMvV6PvLw8tH4GY3V1NfLz8xEeHi42VwAQEREBtVqN7OxscezAgQNobm5GVFSUZP6oqCiUlZXh3LlzD/2zEhER0ePrP2YfrLq6OvTq1QuOjo7QaDSIjo62eAeq9f0pLy8vybiXlxfkcrnk/aqLFy%2B2ubWEt7c36urqcP36dQDA5cuX0dzcbFHT1tYWnp6ekprFxcVQq9UYOnSoRU1BENp9v4uIiIieLP8RDZaLiwtWrFiBv/zlL9izZw%2BmTZuGlJQUTJo0CWazWcwZDAbY2NjA2dlZcr6trS00Gg0qKiokWa1WazFX61hr1mAwQCaTtZv9ec3%2B/fs/sCYRERE92Tr0HayHlZCQIPler9fD3d0db731FnJycsSXx00mE%2Bzs7NqsoVQqYTKZxO9NJhN69OjRZk4QBDHb%2BrW97MPWvLcWERERPdn%2BI%2B5gtWXp0qWQyWTIz88Xx1QqFRobG9vM19fXQ6VSSbINDQ1t5mQymZht/dpe9mFr3luLiIiInmz/EXew2qJUKqHRaFBZWSmOabVatLS0wGg0Sh4TNjU14fbt23BxcZFkDQaDRd3WsdasVquFIAjtZn9es62tJn5esz2ln6TBRqmWjDl5%2BMBpmM99zyMiIqL72717N3bv3i0Za/0owK7wH9tg1dTUwGg0om/fvuKYp6cnBEFAYWEhAgMDxfHz58/DbDbD09NTkj19%2BrRF3YKCAvTs2RM6nQ4AMHz4cCgUChQWFiIkJETMNTU1obi4GDNmzJDUTE9PR0lJieRF94KCAshkMsn8bXHzX4CeA4Y8wlUgIiKihxEWFmax3VNRUZHFL7F1li5/RNjQ0ICamhqL8XfffRcAMGnSJHHM19cXTk5OSE1NlWRTU1OhVqsxefJkcSwkJAS3bt3Cvn37xDGj0YicnBwEBwfD1tYWANCrVy/4%2BfkhMzNT8luLGRkZqK2tlWweOm3aNCgUCqSkpEjm3759O1xdXTF27Nh/5RIQERHRY6bD72C99957%2BOmnn1BeXg4A%2BPDDD1FaWgoAiImJQWVlJUaOHImwsDDxrtCRI0dw%2BPBhBAUFITg4WKylVCqxZs0aREdHQ6/XIyAgACdPnkRWVhbWrl2L3r17i9mQkBAkJydj7ty5uHLlCpydnZGSkgKz2YzVq1dL1piQkIBx48ZhwoQJiIyMRGlpKTZt2oSAgAD4%2B/uLOVdXVyxZsgRJSUlobGzEmDFjsH//fpw5cwZZWVncZJSIiIgAADLh3s%2Bm6QDPPPMMvvvuuzaPffPNN3B0dERMTAwKCgpQUVGBlpYWDBkyBLNnz8by5cthY2NjcV56ejo2btyIb775Bm5ubli8eDEWL15skauqqkJcXBwOHDgAk8kEb29vJCUlYeTIkRbZs2fPYuXKlSgqKoKDgwNmzJiBtWvXSjYfbZWYmIi0tDQYDAa4u7sjPj4eM2fObPcatN6ifPbVrd3qEWFN6Re49kEcrl69arH3FxER0X%2B61n9/L1y40ObemB2pwxssYoNFRETUFbqyweryd7CIiIiIHjdssIiIiIisjA0WERERkZWxwSIiIiKyMjZYRERERFbGBouIiIjIythgEREREVkZGywiIiIiK2ODRURERGRlbLCIiIiIrIwNFhEREZGVscEiIiIisjI2WERERERWxgaLiIiIyMrYYBERERFZGRssIiIiIitjg0VERERkZWywiIiIiKyMDRYRERGRlbHBIiIiIrIyNlhEREREVsYGi4iIiMjKOrTBqq2txapVqzBp0iRoNBrI5XJkZGS0mS0pKUFgYCAcHByg0WgQEREBo9HYZjY9PR0eHh5QqVTQ6XTYtm1bm7mqqipERkaiX79%2BsLe3h6%2BvLy5evNhm9uzZsxg/fjzUajW0Wi1iY2NRW1trkRMEAevXr8egQYOgUqkwYsQI7Nmz5yGvCBEREf3/7d15VFTn%2BQfw7x0YGHZlk8FaF5TaxIW4EMWNIIoxiCUiaFrNokyOcY3WjSwmQY2JuAULorG1BqXEpWpic1IxRmOiVUA8xsoPs6AIIxFXwGF/f3/kcMN0wAgzw8D4/ZzjOfLe5773uU8I9/HeOy%2BPArM2WCUlJYiPj0dubi4CAgIgSVKjcYWFhRgxYgR%2B%2BOEHrFmzBosXL8bhw4cxduxY1NTU6MWmpKQgNjYWffv2xebNmxEUFIR58%2BZh7dq1enFCCIwfPx7/%2BMc/5O03btxAcHAwvv/%2Be73YnJwchIaGoqKiAhs2bEBsbCy2bt2K6Ohog1zj4uKwbNkyhIWFYfPmzejatZxh06wAABraSURBVCuee%2B45fPzxx0ZWi4iIiKyFrTkn9/X1xfXr1%2BHt7Y2srCwMHjy40bhVq1ZBp9MhJycHnTt3BgAMHjwYY8aMwY4dOzBz5kwAQEVFBV5//XVMmDAB6enpAIAZM2agtrYW8fHx0Gg0cHNzAwDs2bMHp06dwr59%2BxAZGQkAmDx5Mvz9/bFixQqkpqbKx4%2BLi4O7uzuOHz8OJycnAEDXrl2h0WiQkZGB0NBQAEBRURHWr1%2BPuXPnYtOmTfLxR40ahcWLF2Py5MlNNpFERET06DDrHSylUglvb%2B9fjdu/fz/Cw8Pl5goARo8eDX9/f707Q8eOHcOtW7fwyiuv6O0/e/ZslJWV4fDhw/LYvn374OPjIzdXAODp6Yno6GgcPHgQ1dXVAIDS0lJkZGRg2rRpcnMFANOnT4eTk5Pe8Q8cOICamhrMmjVL7/izZs3CtWvXcOrUqV89VyIiIrJ%2BFn/JvaioCD/99BMGDRpksC0wMFDvnan6vw8cOFAvbuDAgVAoFAaxAwYMaHTO%2B/fvIy8vDwBw4cIF1NTUGMypVCoREBCgN2dOTg6cnJzQu3dvgzmFEE2%2B30VERESPFos3WFqtFgCgVqsNtqnVaty6dUu%2B26TVamFjYwNPT0%2B9OKVSCQ8PDxQVFenN29ScAORYrVYLSZKajP3fOTt16vSrcxIREdGjzeINlk6nAwDY29sbbFOpVHoxOp0OdnZ2jc6jUqnkuPrYpuYUQujN%2BaDjP%2BycDeciIiKiR5vFGywHBwcAQGVlpcG2iooKvRgHBwdUVVU1Ok9FRYUcVx/b1JySJOnN%2BaDjP%2BycDeciIiKiR5tZP0X4MOofr9U/KmxIq9XC3d0dSqVSjq2trUVJSYneY8Lq6mrcvHkTvr6%2BevM2NScAOVatVkMI0WTs/8755Zdf/uqcTSk4kgIblZPemPtjwXB/PPiB%2BxEREdGDpaWlIS0tTW/s7t27FsqmDTRYvr6%2B8PLyQmZmpsG2M2fOICAgQP46ICAAQghkZmZi3Lhx8vjZs2dRV1dnEHvy5EmDOU%2BfPg1HR0f4%2B/sDAPr06QNbW1tkZmYiKipKjquurkZOTg5iYmL05ty%2BfTtyc3P1XnQ/ffo0JEnSO35juox5GY4%2BPR8YQ0RERM03depUTJ06VW8sOzvb4ENsrcXijwgBYNKkSfj0009RWFgojx09ehR5eXl6i32GhITA3d0dycnJevsnJyfDyckJzzzzjDwWFRWF4uJi7N%2B/Xx4rKSnB3r17ERERId8Vc3V1RWhoKFJTU/VWbt%2B5cyfKy8v1jj9x4kTY2toiKSlJ7/hbtmxB586dERQUZGQliIiIyBqY/Q7WX/7yF9y5c0dung4dOoSCggIAwLx58%2BDi4oK4uDjs3bsXwcHBmD9/PkpLS5GQkID%2B/fvjhRdekOdSqVSIj4/HnDlzEB0djbCwMJw4cQK7d%2B/G6tWr0aFDBzk2KioKGzduxIsvvoiLFy/C09MTSUlJqKurw1tvvaWX46pVqzBs2DCMHDkSGo0GBQUFWL9%2BPcLCwjBmzBg5rnPnzliwYAESEhJQVVWFwYMH45///Ce%2B/vpr7N69m4uMEhEREQBAEkIIcx6ge/fuuHr1aqPbfvzxR/z2t78FAFy6dAkLFy7EyZMnYWdnh/DwcCQkJMDLy8tgv%2B3bt2PdunX48ccf0aVLF8ydOxdz5841iLt79y4WL16MAwcOQKfTITAwEAkJCXjiiScMYr/55hssXboU2dnZcHFxQUxMDFavXq23%2BGi99957DykpKdBqtejVqxfi4uIwZcqUJmtQf4vy9y8ltqtHhGUF3%2BL/PlqMS5cuGaz9RURE1NbVX3%2BzsrIaXRvTnMzeYBEbLCIiIkuwZIPVJt7BIiIiIrImbLCIiIiITIwNFhEREZGJscEiIiIiMjE2WEREREQmxgaLiIiIyMTYYBERERGZGBssIiIiIhNjg0VERERkYmywiIiIiEyMDRYRERGRibHBIiIiIjIxNlhEREREJsYGi4iIiMjE2GARERERmRgbLCIiIiITY4NFREREZGJssIiIiIhMjA0WERERkYmxwSIiIiIyMTZYRERERCbWJhqs48ePQ6FQGPyxsbHBmTNn9GJzc3Mxbtw4uLi4wMPDA9OnT0dJSUmj827fvh2PPfYYHBwc4O/vj82bNzcad/fuXWg0Gnh7e8PZ2RkhISE4d%2B5co7HffPMNhg8fDicnJ6jVasyfPx/l5eXGFYCIiIisiq2lE2howYIFGDRokN5Yz5495b8XFhZixIgR6NixI9asWYPS0lKsXbsW3377Lc6cOQNb219OJyUlBbNmzcLkyZOxaNEifPXVV5g3bx50Oh0WL14sxwkhMH78eFy4cAFLliyBh4cHkpKSEBwcjOzsbPj5%2BcmxOTk5CA0NxWOPPYYNGzbg2rVrWLt2Lb777jscPnzYjJUhIiKi9qRNNVjDhw/Hs88%2B2%2BT2VatWQafTIScnB507dwYADB48GGPGjMGOHTswc%2BZMAEBFRQVef/11TJgwAenp6QCAGTNmoLa2FvHx8dBoNHBzcwMA7NmzB6dOncK%2BffsQGRkJAJg8eTL8/f2xYsUKpKamysePi4uDu7s7jh8/DicnJwBA165dodFokJGRgdDQUNMXhYiIiNqdNvGIsKGysjLU1tY2um3//v0IDw%2BXmysAGD16NPz9/fHxxx/LY8eOHcOtW7fwyiuv6O0/e/ZslJWV6d1t2rdvH3x8fOTmCgA8PT0RHR2NgwcPorq6GgBQWlqKjIwMTJs2TW6uAGD69OlwcnLSOz4RERE92tpUg/Xiiy/C1dUVKpUKISEhyMrKkrcVFRXhp59%2BMniECACBgYF670zV/33gwIF6cQMHDoRCoTCIHTBgQKNz3r9/H3l5eQCACxcuoKamxmBOpVKJgICAJt/ZIiIiokdPm2iw7OzsEBUVhU2bNuHQoUNYtWoVvv32W4wcORLnz58HAGi1WgCAWq022F%2BtVuPWrVvy3SatVgsbGxt4enrqxSmVSnh4eKCoqEge02q1Tc4JQI7VarWQJKnJ2IZzEhER0aOtTbyDNXToUAwdOlT%2BOjw8HJMmTUK/fv2wfPly/Otf/4JOpwMA2NvbG%2ByvUqkAADqdDkqlEjqdDnZ2do0eS6VSyXPV79PUnEIIOfbXjt9wTiIiInq0tYk7WI3x8/PDxIkTcezYMQgh4ODgAACorKw0iK2oqAAAOcbBwQFVVVWNzltRUSHH1cc2NackSXpzPuj4DeckIiKiR1ubuIPVlC5duqCqqgrl5eXyo7n6R4UNabVauLu7Q6lUAvj5kV1tbS1KSkr0HhNWV1fj5s2b8PX1lcfUanWTcwKQY9VqNYQQTcY2nLMpBUdSYKNy0htzfywY7o8H/%2Bq%2BRERE1LS0tDSkpaXpjd29e9dC2bTxBuv777%2BHSqWCs7MznJ2d4eXlhczMTIO4M2fOICAgQP46ICAAQghkZmZi3Lhx8vjZs2dRV1dnEHvy5EmDOU%2BfPg1HR0f4%2B/sDAPr06QNbW1tkZmYiKipKjquurkZOTg5iYmJ%2B9Xy6jHkZjj49fzWOiIiImmfq1KmYOnWq3lh2drbBh9NaS5t4RNjYSuznz5/HJ598grCwMHls0qRJ%2BPTTT1FYWCiPHT16FHl5eYiOjpbHQkJC4O7ujuTkZL05k5OT4eTkhGeeeUYei4qKQnFxMfbv36%2BXz969exERESHfFXN1dUVoaChSU1P1Vm7fuXMnysvL9Y5PREREj7Y2cQcrJiYGDg4OCAoKgre3Ny5evIht27bB2dkZ7777rhwXFxeHvXv3Ijg4GPPnz0dpaSkSEhLQv39/vPDCC3KcSqVCfHw85syZg%2BjoaISFheHEiRPYvXs3Vq9ejQ4dOsixUVFR2LhxI1588UVcvHgRnp6eSEpKQl1dHd566y29PFetWoVhw4Zh5MiR0Gg0KCgowPr16xEWFoYxY8aYu0xERETUTrSJBisyMhK7du3Chg0bcO/ePXh5eSEqKgpvvvkmevToIcf95je/wfHjx7Fw4UIsX74cdnZ2CA8PR0JCgnynqd6sWbNgZ2eHdevW4ZNPPkGXLl2wceNGzJ07Vy9OoVDgs88%2Bw%2BLFi5GYmAidTofAwEDs3LkTvXr10ot94oknkJGRgaVLl2LhwoVwcXFBbGwsVq9ebb7iEBERUbsjCSGEpZOwdvXPgH//UmK7egerrOBb/N9Hi3Hp0iX07t3b0ukQERE1S/31Nysrq9FFxc2pTbyDRURERGRN2GARERERmRgbLCIiIiITY4NFREREZGJssIiIiIhMjA0WERERkYmxwSIiIiIyMTZYRERERCbGBouIiIjIxNhgEREREZkYGywiIiIiE2ODRURERGRibLCIiIiITIwNFhEREZGJscEiIiIiMjE2WEREREQmxgaLiIiIyMTYYBERERGZGBssIiIiIhNjg0VERERkYmywiIiIiEyMDRYRERGRibHBaqaqqiosXboUnTt3hqOjI4YMGYKMjAxLp0VERERtCBusZnr%2B%2BeexceNGTJs2DR988AFsbW0xfvx4fPPNN5ZOjYiIiNoINljNcObMGaSnp2PNmjVYs2YNZs6ciaNHj6Jr165YsmSJpdOjB0hLS7N0Co801t%2ByWH/LYv0fTWywmmHv3r2wtbVFbGysPGZvb48ZM2bg1KlTKCwstGB29CD8AWdZrL9lsf6Wxfo/mthgNUNOTg78/f3h7OysNx4YGChvJyIiImKD1QxarRZqtdpgXK1WQwiBoqIiC2RFREREbQ0brGbQ6XSwt7c3GFepVPJ2IiIiIltLJ9CeODg4oLKy0mC8oqJC3t6Y%2BsYr//BG2Ng1HtMW1VSWAwA%2B%2BeQTZGVlWTib5lMoFKirqwMAXLt2Dbt27bJwRg%2BnYd7tTVO5t/X6W2PNG2qL9bf2mjfUVurfnmvu6ekJLy%2BvZu936dIlAJa5AcIGqxnUanWjjwG1Wi0AwNfXt9H98vPzAQC64u/Nlps5WcsnJP/0pz9ZOoVHGutvWay/ZbH%2BlpWfn49hw4a16jHZYDVDQEAAvvzyS5SVlem96H769GlIkoSAgIBG9wsLC0Nqaiq6devW5F0uIiIiMi2dTof8/HyEhYW1%2BrElIYRo9aO2U2fOnMGQIUOQkJCAhQsXAvh5Zfc%2BffrAy8sLX3/9tYUzJCIioraAd7CaITAwEJMnT8by5ctRXFyMnj17YseOHbhy5Qr%2B9re/WTo9IiIiaiN4B6uZqqqq8MYbbyA1NRW3b99Gv379sHLlSoSGhlo6NSIiImoj2GARERERmRjXwSIiIiIyMTZYRqiqqsLSpUvRuXNnODo6YsiQIcjIyHiofe/evQuNRgNvb284OzsjJCQE586dM3PG1qWl9f/iiy8wY8YM/O53v4OTkxP8/PwQGxuL69evt0LW1sOY7/%2BGYmNjoVAoEBERYYYsrZex9c/IyMDo0aPRoUMHuLq6YtCgQdizZ48ZM7YuxtQ/KysL4eHhUKvVcHFxQf/%2B/ZGYmNhu16iyhPLycqxYsQJPP/00PDw8oFAosHPnzofev1WuwYJabMqUKcLOzk4sXbpUbNu2TQwbNkwolUrx9ddfP3C/uro6ERQUJFxcXER8fLxISkoSffr0Ea6uruK7775rpezbv5bWf9CgQcLPz08sW7ZMbN%2B%2BXbz22mvC1dVVqNVqUVxc3ErZt38trX9DZ8%2BeFUqlUjg6OooJEyaYMVvrY0z9//rXvwqFQiHGjRsnkpKSREpKili4cKFYt25dK2RuHVpa/6ysLGFvby/69u0rNm7cKLZu3SoiIyOFJEliwYIFrZR9%2B5efny8kSRLdunUTISEhQqFQiL///e8PtW9rXYPZYLXQf/7zHyFJkli/fr08VlFRIXr27CmGDRv2wH3T09OFJEli//798tiNGzdEx44dxR//%2BEez5WxNjKn/V199ZTB24sQJIUmSeOONN0yeqzUypv4NBQUFiZkzZ4pu3bqxwWoGY%2Bqfn58vHB0dxauvvmruNK2WMfWPjY0VKpVK3LlzR2981KhRokOHDmbJ1xpVVVXJ/yDOzMwUkiQ9dIPVWtdgPiJsob1798LW1haxsbHymL29PWbMmIFTp06hsLCwyX337dsHHx8fREZGymOenp6Ijo7GwYMHUV1dbdbcrYEx9R8%2BfLjB2IgRI%2BDu7i7/WgV6MGPqX2/nzp24ePEiVq1aZc5UrZIx9U9OTkZdXR3efvttAD8/aqHmMab%2BpaWlUKlUcHNz0xv38fHhQtTNoFQq4e3t3aJ9W%2BsazAarhXJycuDv76%2B3ojvw81pZ9dubcu7cOQwYMMBgPDAwEPfv30deXp5pk7VCxtS/MeXl5SgrK4Onp6fJcrRmxta/rKwMy5Ytw2uvvdbiH5KPMmPqf/ToUfTu3RuHDx9Gly5d4OLiAg8PD7z55psQ/FD5QzGm/sHBwbh37x40Gg1yc3Nx9epVbNmyBQcOHEBcXJxZ86aftdY1mAuNtpBWq4VarTYYV6vVEEI0%2BjsLG%2B47atSoRvcFgKKiIjz%2B%2BOOmS9YKGVP/xmzYsAHV1dWYMmWKqVK0asbW/%2B2334ajoyMWLFhgrhStmjH1v3z5MmxsbPDSSy9h6dKl6NevH/bv34%2BVK1eitraWdxQfgjH1j42NxcWLF5GSkoIPP/wQAGBra4vNmzdDo9GYLWf6RWtdg9lgtZBOp4O9vb3BuEqlkre3ZF8hhEV%2B63d7Y0z9/9eJEyfwzjvvICYmptH/6ciQMfXPy8vDBx98gPT0dCiVSrPlaM2MqX9ZWRmEEHjvvffw5z//GQAQGRmJmzdvYtOmTYiLi4OTk5N5ErcSxtRfoVDAz88P48aNQ3R0NOzt7ZGWloY5c%2BbAx8eHn6ZtBa11DWaD1UIODg6orKw0GK%2BoqJC3t2RfSZL4HP4hGFP/hnJzc/Hss8%2BiX79%2B2LZtm0lztGbG1H/%2B/PkYPnw4/vCHP5gtP2tn7M%2Bf%2B/fvG9ytnTp1Kj7//HOcO3eu0fcU6RfG1H/NmjVITEzE5cuX4ejoCACIiopCSEgIZs%2BejfDwcCgUfHvHnFrrGsz/ii2kVquh1WoNxuvHfH19zbIv/cwUNSwoKMDYsWPRsWNHHD58mP9qb4aW1v%2BLL77A559/jnnz5uHKlSu4cuUK8vPzUVNTA51OhytXrqC0tNSsuVsDY77/67d16tRJb9zb2xtCCNy%2BfduEmVonY%2BqfnJyMkJAQubmqFxERgaKiIuTn55s0VzLUWtdgNlgtFBAQgLy8PJSVlemNnz59GpIkISAg4IH7ZmdnG4yfPn0ajo6O8Pf3N3m%2B1saY%2BgPArVu3MHbsWNTU1ODzzz83uNjQg7W0/gUFBZAkCZGRkejevTu6d%2B%2BOHj16oKioCEePHkWPHj34i9MfgjHf/wMHDgQAg0%2B6FRYWQpIkeHl5mT5hK2NM/YuLi1FbW2swXv/JtZqaGtMmSwZa7RpssgUfHjH166A0XJivsrJS9OrVSwQFBcljWq1W5ObmipqaGnksPT1dKBQKsW/fPnmsfg2O5557rnVOoJ0zpv7l5eUiMDBQuLm5iXPnzrVq3taipfUvKCgQBw8eNPjj7e0tAgMDxaFDh8QPP/zQ6ufT3hjz/X/gwAEhSZJ4/fXX5bG6ujoxfPhw4enpKaqqqlrnJNoxY%2Brft29f4enpKW7duiWP1dbWioEDBwo3Nze9WHo4D1oHy5LXYDZYRoiOjhZ2dnZiyZIlYuvWrSIoKEjY2dmJkydPyjHPP/%2B8kCRJXLlyRR6rra0VQ4cOFa6uruKdd96RV5F1c3MTeXl5ljiVdqml9Z84caKQJEnMnDlTpKam6v05cOCAJU6lXWpp/RvDhUabz5j6h4aGChsbG/Hyyy%2BLpKQkMWbMGKFQKMSHH37Y2qfRbrW0/rt27RIKhUL07NlTvP/%2B%2ByIxMVEMHTpUKBQK8e6771riVNqtzZs3i5UrV4pZs2YJSZLEpEmTxMqVK8XKlSvFvXv3hBCWvQazwTJCZWWlWLJkifD19RUODg7iySefFEeOHNGLeeGFF4SNjY3BD7g7d%2B6I2NhY4eXlJZydnUVISIjIzs5uzfTbvZbWv1u3bkKhUDT6p3v37q19Gu2WMd///6t79%2B4iIiLCnOlaHWPqX15eLl599VXh6%2BsrVCqV6N%2B/v0hLS2vN9Ns9Y%2Br/73//Wzz11FPC29tbrv%2B2bdtaM32r8KCf5fU1t%2BQ1WBKCK8sRERERmRJfciciIiIyMTZYRERERCbGBouIiIjIxNhgEREREZkYGywiIiIiE2ODRURERGRibLCIiIiITIwNFhEREZGJscEiIiIisysvL8eKFSvw9NNPw8PDAwqFAjt37jRqzqysLISHh0OtVsPFxQX9%2B/dHYmIi6urqTJR1y7HBIiIiIrMrKSlBfHw8cnNzERAQAEmSjJovOzsbw4YNw9WrV7Fs2TKsX78efn5%2BmD9/PhYtWmSirFuOvyqHiIiIzK66uhq3b9%2BGt7c3srKyMHjwYOzYsQPTp09v0XwajQYfffQRrl%2B/Djc3N3k8ODgY58%2Bfx%2B3bt02VeovwDhYRERGZnVKphLe390PFfvbZZxg5ciScnZ3h6uqK8PBw/Pe//9WLKS0thUql0muuAMDHxwcODg4my7ul2GARERFRm/HRRx8hPDwcLi4ueP/99/Hmm2/i0qVLGDFiBK5evSrHBQcH4969e9BoNMjNzcXVq1exZcsWHDhwAHFxcRY8g5/xESERERG1qqYeEZaXl6NLly6IiYlBcnKyPH7jxg34%2B/sjJiYGW7ZsAQDU1dVhwYIFSElJQXV1NQDA1tYWmzdvhkajad0TaoStpRMgIiIiAoAjR47g7t27mDJlCm7evCmPS5KEJ598EseOHZPHFAoF/Pz8MG7cOERHR8Pe3h5paWmYM2cOfHx8EBERYYlTkLHBIiIiojbh8uXLEELgqaeeMtgmSRJcXV3lr9esWYPExERcvnwZjo6OAICoqCiEhIRg9uzZCA8Ph0JhuTeh2GARERFRm1BXVwdJkpCamopOnToZbLe1/aVtSU5ORkhIiNxc1YuIiMCiRYuQn5%2BPHj16mD3nprDBIiIiojbBz88PQgh4eXkhJCTkgbHFxcWora01GK9/H6umpsYsOT4sfoqQiIiI2oSwsDC4urpi9erVjTZIJSUl8t/9/f1x5MgRvfWu6urqkJ6eDhcXF/j5%2BbVKzk35f4HMiXoucbiFAAAAAElFTkSuQmCC\"/>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common5626572432776039023\">\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">22919</td>\n",
-       "        <td class=\"number\">5.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">150000.0</td>\n",
-       "        <td class=\"number\">8722</td>\n",
-       "        <td class=\"number\">2.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">40000.0</td>\n",
-       "        <td class=\"number\">5788</td>\n",
-       "        <td class=\"number\">1.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">34400.0</td>\n",
-       "        <td class=\"number\">5154</td>\n",
-       "        <td class=\"number\">1.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">30000.0</td>\n",
-       "        <td class=\"number\">4855</td>\n",
-       "        <td class=\"number\">1.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">20000.0</td>\n",
-       "        <td class=\"number\">3907</td>\n",
-       "        <td class=\"number\">0.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">10000.0</td>\n",
-       "        <td class=\"number\">3861</td>\n",
-       "        <td class=\"number\">0.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">50000.0</td>\n",
-       "        <td class=\"number\">3834</td>\n",
-       "        <td class=\"number\">0.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">100.0</td>\n",
-       "        <td class=\"number\">3342</td>\n",
-       "        <td class=\"number\">0.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">35000.0</td>\n",
-       "        <td class=\"number\">2736</td>\n",
-       "        <td class=\"number\">0.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (9141)</td>\n",
-       "        <td class=\"number\">362644</td>\n",
-       "        <td class=\"number\">84.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme5626572432776039023\">\n",
-       "            <p class=\"h4\">Minimum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">22919</td>\n",
-       "        <td class=\"number\">5.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">100.0</td>\n",
-       "        <td class=\"number\">3342</td>\n",
-       "        <td class=\"number\">0.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">200.0</td>\n",
-       "        <td class=\"number\">555</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">300.0</td>\n",
-       "        <td class=\"number\">504</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">400.0</td>\n",
-       "        <td class=\"number\">75</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "            <p class=\"h4\">Maximum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">35456000.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">37012500.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">39228900.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">58304000.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">96791600.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>EMV_TOTAL</code></s><br/>\n",
-       "            <small>Highly correlated</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is highly correlated with <code>EMV_BLDG</code> and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Correlation</th>\n",
-       "            <td>0.9836</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">FIN_SQ_FT<br/>\n",
-       "            <small>Numeric</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>4666</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>1.1%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "\n",
-       "                <tr>\n",
-       "                    <th>Mean</th>\n",
-       "                    <td>528.12</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>19269</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"alert\">\n",
-       "                    <th>Zeros (%)</th>\n",
-       "                    <td>66.1%</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-6413759118407350863\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABU9JREFUeJzt2k1oU1kAxfGTUphGhA4Sax00L6ZJWjGopS1V3FQpFhEG3SiKwmStroZxo0L9QJDRhfixEIS2BESsIANWXQgGV1qXYqZDozEVO61p7MI2DdPXM6s%2BpjDcSSK%2BmPH84C2am8u9pfdP8/HACojH4wSgS1dJVzwed/2s1qICAoEAAOCHrp/w3feNRc0pfBzH%2B0Q/bt26hUgk8gV3J1%2BbZDKJQ4cOOefGTRUJxOv1AgDqg21Y1hgqas7M%2BxG8T/Rj/fr12LRp05fcnnylFs%2BNm2pcX1GkiigQEQMFImKgQEQMFIiIgQIRMVAgIgYKRMRAgYgYKBARAwUiYqBARAwUiIiBAhExUCAiBgpExECBiBgoEBEDBSJioEBEDBSIiIECETFQICIGCkTEQIGIGCgQEQMFImKgQEQMFIiIgQIRMVAgIgYKRMRAgYgYKBARAwUiYqBARAwUiIiBAhExUCAiBgpExECBiBjUVnoDpUomk7Btu6Q5Pp8Pfr//C%2B1I/s%2BqJpC/Pn0EPB4cOHCg5Ll13mUY%2BT2pSKRkVROIXfgEkAj8%2BAu8vuIPej6bQfq3X5HNZhWIlKxqAlnk9fmxrDFU6W3IN6IigeTzeQDAHwM/w1NT3OcEC/Y8AGB6dBj57FjRaxWm/wQADA0NIZlMFj2vpqYGCwsLRT//c%2BZpraV8Ph9Wrlzp/Lz4d1s8N65iBcTjcQLQpaukKx6Pu35WPSQJl2WzWTx69AiBQABer9ft5aXK5PN5pNNp9PT0wOfzubp2RQIRqRb6olDEQIGIGLgeyOjoKLZt24bm5mZ0dnaW9MmSVKdCoYC9e/eipaUFra2t6OnpQSqVAgB8%2BPABu3btQiQSwcaNG/H06VNnXj6fx8GDBxEOh9HS0oK7d%2B86YyRx7NgxhEIhRCIRXLt2bcma586dQygUQjgcxsmTJ8vfvNufCuzYsYMDAwMkycHBQXZ0dLi9BXHZ3NwcHzx44Px89epVdnV1kSRjsRhPnz5NkhweHuaaNWs4Pz9Pkjxz5gxjsRhJ8s2bN2xoaGAulyNJ9vf3s7u7mySZy%2BVoWRZfvXpFkkwkEoxGo8zn8ywUCmxvb%2BfQ0FBZe3c1kMnJSdbX19O2beexxsZGplIpN7chFfbixQuuW7eOJLl8%2BXJOTEw4Y52dnXz8%2BDFJcsOGDXz27Jkztm/fPt68eZMkuXv3bt6%2BfdsZO378OE%2BdOkWSPHLkCC9cuOCMXb9%2BnYcPHy5rr66%2BxBobG8Pq1atR848vB/1%2BPzKZjJvbkAq7fPky9uzZg1wuh/n5eTQ0NDhjlmU55yGTycCyLGcsEAh89lipqu5WE6lu58%2BfRyqVwo0bNzA7O1vp7fwnV/%2BDrF27FuPj40tuP8hkMrqJ8Btx8eJF3Lt3Dw8fPkRdXR1WrFiB2tpaTE5OOs9Jp9POebAsC2/fvv3XMb/fX9ZYycp6YfYZtm/fzr6%2BPpLknTt39Cb9G3Hp0iW2tbVxenp6yeOxWIy9vb0kyefPny95k97b2%2Bu8SX/9%2BjVXrVrFqakpkmRfXx%2B7u7tp2zanpqZoWRZfvnxJknzy5Amj0ShnZ2c5NzfH9vZ23r9/v6x9ux7IyMgIt27dykgkwo6ODueXkv%2Bvd%2B/e0ePxMBQKsbW1lZs3b%2BaWLVtIkhMTE9y5cyfD4TCj0SgTiYQzb2Zmhvv372dTUxObm5s5ODjojNm2zaNHjzIYDDIUCvHKlStL1jx79iyDwSCbmpp44sSJsveuW01EDPRNuoiBAhExUCAiBgpExECBiBgoEBEDBSJioEBEDBSIiIECETFQICIGCkTE4G%2BMDK6UXaiQQwAAAABJRU5ErkJggg%3D%3D\">\n",
-       "\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-6413759118407350863,#minihistogram-6413759118407350863\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives-6413759118407350863\">\n",
-       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
-       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-6413759118407350863\"\n",
-       "                                                  aria-controls=\"quantiles-6413759118407350863\" role=\"tab\"\n",
-       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#histogram-6413759118407350863\" aria-controls=\"histogram-6413759118407350863\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#common-6413759118407350863\" aria-controls=\"common-6413759118407350863\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#extreme-6413759118407350863\" aria-controls=\"extreme-6413759118407350863\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
-       "\n",
-       "    </ul>\n",
-       "\n",
-       "    <div class=\"tab-content\">\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-6413759118407350863\">\n",
-       "            <div class=\"col-md-4 col-md-offset-1\">\n",
-       "                <p class=\"h4\">Quantile statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Minimum</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>5-th percentile</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q1</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Median</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q3</th>\n",
-       "                        <td>1087</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>95-th percentile</th>\n",
-       "                        <td>2214</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Maximum</th>\n",
-       "                        <td>19269</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Range</th>\n",
-       "                        <td>19269</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Interquartile range</th>\n",
-       "                        <td>1087</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "            <div class=\"col-md-4 col-md-offset-2\">\n",
-       "                <p class=\"h4\">Descriptive statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Standard deviation</th>\n",
-       "                        <td>857</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Coef of variation</th>\n",
-       "                        <td>1.6227</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Kurtosis</th>\n",
-       "                        <td>9.0828</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Mean</th>\n",
-       "                        <td>528.12</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>MAD</th>\n",
-       "                        <td>697.83</td>\n",
-       "                    </tr>\n",
-       "                    <tr class=\"\">\n",
-       "                        <th>Skewness</th>\n",
-       "                        <td>2.081</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Sum</th>\n",
-       "                        <td>225910000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Variance</th>\n",
-       "                        <td>734450</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Memory size</th>\n",
-       "                        <td>3.3 MiB</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-6413759118407350863\">\n",
-       "            <img 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2brbGxsYG9vT3Ky8vFMZ1Oh4aGBhiNRsljwrq6Oty9exeOjo6SWoPBYNa3aaypVqfTQRAEi7WP9zx8%2BPBTez5JyYFkWNloJWN2rl6wG%2BD11HOJiIjIsoyMDGRkZEjGKioqWmk1rRCwmh6lPekvXVVVBaPRiG7duoljbm5uEAQBBQUF8Pf3F8fPnDmDxsZGuLm5SWof3T/VJD8/Hx07doSLiwsAYODAgVCpVCgoKEBQUJBYV1dXh6KiIoSEhEh6pqSkoLi4WLLRPT8/HwqFQjK/Jb18Z7ep1zQQERG1FaGhoQgNDZWMNb2moTW02CPCO3fumI3V19fj008/hUajgaurKx4%2BfIiqqiqzuj/96U8AgHHjxolj3t7esLOzQ1JSkqQ2KSkJWq0W48ePF8eCgoJw%2B/ZtZGdni2NGoxGZmZkIDAyEWq0GAHTu3Bk%2BPj5IS0uTfGoxNTUV1dXVkpeHTpw4ESqVComJiZL5t27dCicnJ3h6ej7TdSEiIqL2r8XuYM2ePRv379/H6NGj4eTkhB9%2B%2BAHbt2/H5cuXsWHDBnTs2BHfffcdhgwZgtDQUPGu0L59%2B7B3714EBARI9mrZ2NhgxYoViIqKgl6vh5%2BfH44ePYr09HSsWrUKXbt2FWuDgoKwadMmzJgxAxcvXoSDgwMSExPR2NiI5cuXS9a5cuVKjBgxAqNHj0ZERARKSkqwYcMG%2BPn5wdfXV6xzcnLC/PnzER8fj9raWgwfPhy7du3CiRMnkJ6ebvElo0RERPTyabGANWXKFKSkpGDr1q24e/cubG1t4e7ujnXr1ol3m7p27Yq3334beXl5SE1NRUNDA/r164fVq1dj0aJFZj0jIyNhbW2N9evXY8%2BePejVqxc2bdqE6OhoSZ1SqcTevXsRGxuLLVu2wGQywcPDA6mpqWb7voYMGYK8vDwsWbIECxcuhK2tLWbNmoVVq1aZzb9mzRrY2dkhOTkZn376KZydnbF9%2B3bJo0QiIiKiF/qrcl5W/FU5REREL95L86tyiIiIiF4GDFhEREREMmPAIiIiIpIZAxYRERGRzBiwiIiIiGTGgEVEREQkMwYsIiIiIpkxYBERERHJjAGLiIiISGYMWEREREQyY8AiIiIikhkDFhEREZHMGLCIiIiIZMaARURERCQzBiwiIiIimTFgEREREcmMAYuIiIhIZgxYRERERDJjwCIiIiKSGQMWERERkcwYsIiIiIhkxoBFREREJDMGLCIiIiKZMWARERERyYwBi4iIiEhmDFhEREREMmuxgHXp0iXo9Xr07dsXWq0W3bp1w5gxY/Dll1%2Ba1RYXF8Pf3x%2B2trawt7dHeHg4jEZjs31TUlLg6uoKjUYDFxcXJCQkNFtXUVGBiIgIdO/eHZ06dYK3tzfOnTvXbO3JkycxcuRIaLVa6HQ6zJs3D9XV1WZ1giBg7dq16NOnDzQaDQYPHowdO3Y8x1UhIiKil0GLBazvvvsOVVVVmD59Oj766CN8%2BOGHUCgUCAwMxN/%2B9jexrrS0FKNGjcL169exevVqxMbGIjc3F2%2B99Rbq6%2BslPZOTkzFr1iwMGjQICQkJ8PT0RExMDNatWyepEwQBAQEB2LFjh3j8zp078PLywrfffiupLSoqgo%2BPD2pqarBx40bMmjUL27Ztg16vN/s7xcXFYenSpfDz80NCQgJ69%2B6NqVOnYufOnTJeOSIiImrrFIIgCC9qMkEQMHToUDx8%2BBCXLl0CAMyZMwepqam4fPkynJycAAAHDx6Er68vtm3bhnfffRcAUFNTg169esHT0xM5OTliz7CwMOTk5KCkpARdunQBAOzcuRNTpkxBVlYWJk2aBAAwGo1wcXFBQEAA0tLSxPMDAgJw/vx5XL58GVqtFsBPd8kiIiKwf/9%2B%2BPj4AADKysrwxhtv4L333sPmzZvF88eMGYObN2/i5s2bUCgUzf69CwsL4e7ujjd/vwUde/aT5Vq%2BCLdPZ%2BFfpz9DVeX91l4KERHRc2v69/fs2bMYOnToC537he7BUigU6NWrF%2B7duyeOZWdnY8KECWK4AoCxY8fCxcVFcmfo0KFDKC8vx5w5cyQ9586di6qqKuTm5opjWVlZ6NmzpxiuAMDBwQF6vR45OTmoq6sDAFRWViIvLw9hYWFiuAKA8PBwaLVayfy7d%2B9GfX09IiMjJfNHRkbi1q1bOHXq1L97WYiIiKidafGA9eDBA9y9exfXr1/Hxo0bsXfvXsldoR9//BHDhg0zO8/Dw0OyZ6rpz%2B7u7pI6d3d3KJVKs9rmkqqHhwcePHiAK1euAAAuXLiA%2Bvp6s55qtRpubm6SnkVFRdBqtejfv79ZT0EQLO7vIiIiopdPiwesRYsWoVu3bujXrx9iY2Px29/%2BFlu2bAEAGAwGAIBOpzM7T6fToby8XLzbZDAYYGVlBQcHB0mdWq2Gvb09ysrKxDGDwWCxJwCx1mAwQKFQWKx9vGePHj2e2pOIiIhI1dITLFiwAMHBwSgrK8POnTvR0NCAhw8fAgBMJhMAoEOHDmbn2djYiDVqtRomkwnW1tbNzmFjYyP2ajrHUk9BEMTap83/rD0f7UVERETU4newXFxc4O3tjWnTpuGLL75AZWUlAgMDAQAajQYAxMD1qJqaGkmNRqNBbW1ts3PU1NSIdU21lnoqFApJzyfN/6w9H%2B1FRERE1OJ3sB4XFBSE9957D1evXhUfrzU9KnyUwWCAnZ0d1Go1gJ8exTU0NMBoNEoeE9bV1eHu3btwdHQUx3Q6ncWeAMRanU4HQRAs1j7e8/Dhw0/t%2BSQlB5JhZaOVjNm5esFugNdTzyUiIiLLMjIykJGRIRmrqKhopdW0QsBqepRWUVEBZ2dndOvWDQUFBWZ1X3/9Ndzc3MTv3dzcIAgCCgoK4O/vL46fOXMGjY2NZrXHjx8365mfn4%2BOHTvCxcUFADBw4ECoVCoUFBQgKChIrKurq0NRURFCQkIkPVNSUlBcXCzZ6J6fnw%2BFQiGZ35JevrPb1GsaiIiI2orQ0FCEhoZKxppe09AaWuwR4Z07d8zG6uvr8emnn0Kj0cDV1RUAMHnyZHz55ZcoLS0V6w4ePIgrV65IXvbp7e0NOzs7JCUlSXomJSVBq9Vi/Pjx4lhQUBBu376N7OxsccxoNCIzMxOBgYHiXbHOnTvDx8cHaWlpkje3p6amorq6WjL/xIkToVKpkJiYKJl/69atcHJygqen53NdHyIiImq/WuwO1uzZs3H//n2MHj0aTk5O%2BOGHH7B9%2B3ZcvnwZGzZsQMeOHQH89Hb0zMxMeHl5Yd68eaisrER8fDwGDx6M6dOni/1sbGywYsUKREVFQa/Xw8/PD0ePHkV6ejpWrVqFrl27irVBQUHYtGkTZsyYgYsXL8LBwQGJiYlobGzE8uXLJetcuXIlRowYgdGjRyMiIgIlJSXYsGED/Pz84OvrK9Y5OTlh/vz5iI%2BPR21tLYYPH45du3bhxIkTSE9Pt/iSUSIiInr5tFjAmjJlClJSUrB161bcvXsXtra2cHd3x7p16yR3m1599VUcOXIECxcuxPvvvw9ra2tMmDAB8fHx4p2mJpGRkbC2tsb69euxZ88e9OrVC5s2bUJ0dLSkTqlUYu/evYiNjcWWLVtgMpng4eGB1NRUODs7S2qHDBmCvLw8LFmyBAsXLoStrS1mzZqFVatWmf2d1qxZAzs7OyQnJ%2BPTTz%2BFs7Mztm/fLnmUSERERPRCf1XOy4q/KoeIiOjFe2l%2BVQ4RERHRy4ABi4iIiEhmDFhEREREMmPAIiIiIpIZAxYRERGRzBiwiIiIiGTGgEVEREQkMwYsIiIiIpkxYBERERHJjAGLiIiISGYMWEREREQyY8AiIiIikhkDFhEREZHMGLCIiIiIZMaARURERCQzBiwiIiIimTFgEREREcmMAYuIiIhIZgxYRERERDJjwCIiIiKSGQMWERERkcwYsIiIiIhkxoBFREREJDMGLCIiIiKZMWARERERyYwBi4iIiEhmLRawCgoKEBUVhYEDB6JTp07o3bs3QkJCcPXqVUndjBkzoFQqzb5cXV2b7ZuSkgJXV1doNBq4uLggISGh2bqKigpERESge/fu6NSpE7y9vXHu3Llma0%2BePImRI0dCq9VCp9Nh3rx5qK6uNqsTBAFr165Fnz59oNFoMHjwYOzYseM5rwwRERG1d6qWarxmzRqcPHkSwcHB%2BOUvf4kffvgBW7ZswdChQ3H69GlJgLKxsUFKSgoEQRDHunTpYtYzOTkZkZGRCA4OxqJFi3Ds2DHExMTAZDIhNjZWrBMEAQEBAbhw4QIWL14Me3t7JCYmwsvLC4WFhejbt69YW1RUBB8fH7i6umLjxo24desW1q1bh2vXriE3N1cyf1xcHNasWYPZs2dj2LBhyMnJwdSpU6FUKqHX6%2BW8fERERNSGKYRHU42M8vPzMWzYMKhU/z/DXbt2DYMGDUJwcDBSU1MB/HQHKysrC/fv339iv5qaGvTq1Quenp7IyckRx8PCwpCTk4OSkhIxlO3cuRNTpkxBVlYWJk2aBAAwGo1wcXFBQEAA0tLSxPMDAgJw/vx5XL58GVqtFsBPd8kiIiKwf/9%2B%2BPj4AADKysrwxhtv4L333sPmzZvF88eMGYObN2/i5s2bUCgUza69sLAQ7u7uePP3W9CxZ79nvoat7fbpLPzr9Geoqnzyz4aIiOjnqOnf37Nnz2Lo0KEvdO4We0T4q1/9ShKuAKBfv34YMGAAvvnmG7P6xsZGVFZWWux36NAhlJeXY86cOZLxuXPnoqqqSnK3KSsrCz179hTDFQA4ODhAr9cjJycHdXV1AIDKykrk5eUhLCxMDFcAEB4eDq1Wi507d4pju3fvRn19PSIjIyXzR0ZG4tatWzh16tSTLgcRERG9RF74Jvfbt2/DwcFBMvbgwQN07twZXbp0gb29PaKiosz2QDXtn3J3d5eMu7u7Q6lUSvZXnTt3rtmk6uHhgQcPHuDKlSsAgAsXLqC%2Bvt6sp1qthpubm6RnUVERtFot%2Bvfvb9ZTEASL%2B7uIiIjo5fNCA1ZaWhpKS0sxZcoUcczR0RGLFy/GJ598gh07dmDixIlITEzEuHHj0NjYKNYZDAZYWVmZhTO1Wg17e3uUlZVJanU6ndn8TWNNtQaDAQqFwmLt4z179Ojx1J5ERERELbbJ/XHFxcWIiorCiBEjEB4eLo6vXLlSUqfX6%2BHs7IwPPvgAmZmZ4uZxk8kEa2vrZnvb2NjAZDKJ35tMJnTo0KHZOkEQxNqm/1qqfdaej/YiIiIieiF3sG7fvo3x48fjlVdeweeff25xM3iTBQsWQKFQIC8vTxzTaDSora1ttr6mpgYajUZS%2B/Dhw2brFAqFWNv0X0u1z9rz0V5EREREqrfffhthYWGYOHFis3do/lP379%2BHv78/7t%2B/j%2BPHj6Nnz55PPcfGxgb29vYoLy8Xx3Q6HRoaGmA0GiWPCevq6nD37l04OjpKag0Gg1nfprGmWp1OB0EQLNY%2B3vPw4cNP7fkkJQeSYWWjlYzZuXrBboDXU88lIiIiyzIyMpCRkSEZq6ioaKXVAKpLly5hypQp6Ny5MyZPnoywsDB4eXnJ0vzhw4eYMGECrl27hoMHD%2BIXv/jFM51XVVUFo9GIbt26iWNubm4QBAEFBQXw9/cXx8%2BcOYPGxka4ublJao8fP27WNz8/Hx07doSLiwsAYODAgVCpVCgoKEBQUJBYV1dXh6KiIoSEhEh6pqSkoLi4WLLRPT8/HwqFQjK/Jb18Z7ep1zQQERG1FaGhoQgNDZWMNb2moTUov/32W5w4cQLvvPMO9uzZg7Fjx%2BK1117D%2B%2B%2B/j3/%2B85//duPGxkbo9XqcPn0amZmZ8PDwMKt5%2BPAhqqqqzMb/9Kc/AQDGjRsnjnl7e8POzg5JSUmS2qSkJGi1WowfP14cCwoKwu3bt5GdnS2OGY1GZGZmIjAwEGq1GgDQuXNn%2BPj4IC0tTfKpxdTUVFRXV0teHjpx4kSoVCokJiZK5t%2B6dSucnJzg6en5TNeFiIiI2j8VAPz617/Gr3/9a3z00UfYt28f0tLSsGXLFqxduxaDBg1CeHg4QkNDm/20nSULFy7Enj17EBgYCKPRiO3bt0uOv/POO/jhhx8wZMgQhIaGineF9u3bh7179yIgIACBgYFivY2NDVasWIGoqCjo9Xr4%2Bfnh6NGjSE9Px6pVq9C1a1exNihNzqpUAAAgAElEQVQoCJs2bcKMGTNw8eJFODg4IDExEY2NjVi%2BfLlkHStXrsSIESMwevRoREREoKSkBBs2bICfnx98fX3FOicnJ8yfPx/x8fGora3F8OHDsWvXLpw4cQLp6elP3VdGRERELw%2BLb3K/d%2B8eZs%2BeLW5KVyqVGDt2LBYsWAA/P7%2BnNv7Nb36Do0ePWjze0NCAiooKxMTEID8/H2VlZWhoaEC/fv0wbdo0LFq0CFZWVmbnpaSkYP369bhx4wZ69eqF6OhoREdHm9VVVFQgNjYWu3fvhslkgoeHB%2BLj4zFkyBCz2pMnT2LJkiUoLCyEra0tQkJCsGrVKsnLR5usWbMGycnJMBgMcHZ2RlxcnOS1E83hm9yJiIhevNZ8k7tZwMrPz0daWhp27twJo9GIN998E2FhYVCr1fj4449RXFyMDz/8EMuWLXuhC23LGLCIiIhevNYMWCoAuHLlCtLS0pCeno4bN27AwcEBoaGhCAsLw7Bhw8TiRYsWYebMmdiyZQsDFhEREZEFqmHDhuHcuXOwtrbGhAkTsHHjRowbN87s9wg28fHxwd///vcXvEwiIiKitkNlY2ODxMREhISESDaKWxIYGIirV6%2B%2BgKURERERtU2q5t4X9SRarRZ9%2B/ZtoeUQERERtX3KoqIiJCcnWyzYtm0bzp8//wKXRERERNS2KePi4rB3716LBfv378cf/vCHF7gkIiIiorZNWVBQgNGjR1ssGDVqFM6cOfMCl0RERETUtikrKythbW1tscDKyqpVf1kiERERUVujdHZ2xoEDBywW/O///i/eeOONF7gkIiIiorZNOWPGDOzZsweLFy9GZWWleOD%2B/fuIjY3FV199hd///vetuEQiIiKitkU1f/58FBYWIj4%2BHps2bcKrr74KALh16xbq6%2BsRGhqKRYsWtfIyiYiIiNoOlUKhwD/%2B8Q%2BEh4cjKysL169fBwD4%2Bflh8uTJ8PHxaeUlEhEREbUt4u/D8fX1ha%2Bvb2uuhYiIiKhdULb2AoiIiIjaGyUApKSkwNPTEz179kSHDh1gbW0t%2BerQoUNrr5OIiIiozVAtXboU69atw6BBgxAUFIRXXnmltddERERE1KapPv74Y0yaNAmZmZmtvRYiIiKidkFpMpnw1ltvtfY6iIiIiNoN5W9%2B8xucPXu2tddBRERE1G4oExMTcezYMaxduxb37t1r7fUQERERtXnKQYMGoaSkBO%2B//z7s7e3RpUsX2NnZSb7s7e1be51EREREbYZq/PjxUCgUrb0OIiIionZDlZaW1tprICIiImpX%2BCZ3IiIiIpkpAeDWrVuIiorCgAED0K1bNxw7dgwAYDQasXDhQhQVFbXqIomIiIjaElVxcTFGjRqFuro6DB8%2BHMXFxairqwMAODg44NChQ7h//z7%2B9re/tfJSiYiIiNoG5eLFi9GpUydcvnwZGRkZEARBUjB%2B/HjxjtbzKCgoQFRUFAYOHIhOnTqhd%2B/eCAkJwdWrV81qi4uL4e/vD1tbW9jb2yM8PBxGo7HZvikpKXB1dYVGo4GLiwsSEhKarauoqEBERAS6d%2B%2BOTp06wdvbG%2BfOnWu29uTJkxg5ciS0Wi10Oh3mzZuH6upqszpBELB27Vr06dMHGo0GgwcPxo4dO57jqhAREdHLQHnkyBHMmTMHPXr0aPbThL1790ZpaelzN16zZg127doFHx8ffPTRR5g9ezaOHj2KoUOH4tKlS2JdaWkpRo0ahevXr2P16tWIjY1Fbm4u3nrrLdTX10t6JicnY9asWRg0aBASEhLg6emJmJgYrFu3TlInCAICAgKwY8cO8fidO3fg5eWFb7/9VlJbVFQEHx8f1NTUYOPGjZg1axa2bdsGvV5v9neKi4vD0qVL4efnh4SEBPTu3RtTp07Fzp07n/v6EBERUfulamhogFartVhgNBqhVqufu/GiRYuQkZEBlUoljun1egwaNAirV69GamoqAGDlypUwmUwoKiqCk5MTAGD48OHw9fXFJ598gnfffRcAUFNTgw8%2B%2BABvv/02PvvsMwDAzJkz0dDQgBUrViAiIgJdunQBAHz%2B%2Bec4deoUsrKyMGnSJABAcHAwXFxcsGzZMjz6ycm4uDjY2dnhyJEj4nXo3bs3IiIikJeXBx8fHwBAWVkZNmzYgOjoaGzevFmcf8yYMYiNjUVwcDBfd0FEREQAAOWQIUOwb9%2B%2BZg82NDRgx44d%2BK//%2Bq/nbvyrX/1KEq4AoF%2B/fhgwYAC%2B%2BeYbcSw7OxsTJkwQwxUAjB07Fi4uLpI7Q4cOHUJ5eTnmzJkj6Tl37lxUVVUhNzdXHMvKykLPnj3FcAX8tJ9Mr9cjJydH3GNWWVmJvLw8hIWFSUJmeHg4tFqtZP7du3ejvr4ekZGRkvkjIyNx69YtnDp16rmuDxEREbVfyqVLlyI3NxfR0dEoLi4G8NNdq8OHD8Pf3x%2BXLl3C0qVLZZvw9u3bcHBwAPDTXaEff/wRw4YNM6vz8PCQ7Jlq%2BrO7u7ukzt3dHUql0qx26NChzfZ88OABrly5AgC4cOEC6uvrzXqq1Wq4ublJehYVFUGr1aJ///5mPQVBsLi/i4iIiF4%2ByvHjxyMlJQX/%2BMc/MHr0aABAaGgoxo4di6%2B//hoff/wxvLy8ZJksLS0NpaWlmDJlCgDAYDAAAHQ6nVmtTqdDeXm5eLfJYDDAyspKDGdN1Go17O3tUVZWJo4ZDAaLPQGItQaDAQqFwmLt4z179Ojx1J5EREREKgCYPn06Jk%2BejH379uHatWtobGxE3759MW7cOHFf03%2BquLgYUVFRGDFiBMLDwwEAJpMJANChQwezehsbG7FGrVbDZDLB2tq62d42NjZir6ZzLPUUBEGsfdr8z9rz0V5ERERE4iYpW1tbBAcHt8gkt2/fxvjx4/HKK6/g888/FzeDazQaAMDDhw/NzqmpqZHUaDQa1NbWNtu/pqZGrGuqtdRToVBIej5p/mft%2BWgvIiIiItWzPtpydHT8tya4f/8%2B/P39cf/%2BfRw/fhw9e/YUjzU9Xmt6VPgog8EAOzs78ROMOp0ODQ0NMBqNkseEdXV1uHv3rmR9Op3OYs9H/y46nQ6CIFisfbzn4cOHn9rzSUoOJMPKRvqJTTtXL9gN8HrquURERGRZRkYGMjIyJGMVFRWttBpA9eqrrz7T6wUaGhqeu/nDhw8xYcIEXLt2DQcPHsQvfvELyXFHR0d069YNBQUFZud%2B/fXXcHNzE793c3ODIAgoKCiAv7%2B/OH7mzBk0Njaa1R4/ftysZ35%2BPjp27AgXFxcAwMCBA6FSqVBQUICgoCCxrq6uDkVFRQgJCZH0TElJQXFxsWSje35%2BPhQKhWR%2BS3r5zkbHnv2eWkdERETPJzQ0FKGhoZKxwsJCsw%2ByvSjKbdu24fGvpKQkLFmyBI6OjnB3d8e2bdueu3FjYyP0ej1Onz6NzMxMeHh4NFs3efJkfPnll5KXmR48eBBXrlyRvOzT29sbdnZ2SEpKkpyflJQErVaL8ePHi2NBQUG4ffs2srOzxTGj0YjMzEwEBgaKd8U6d%2B4MHx8fpKWlSd7cnpqaiurqasn8EydOhEqlQmJiomT%2BrVu3wsnJCZ6ens9zeYiIiKgdUzW9yLM5cXFx8PDwEPcZPY%2BFCxdiz549CAwMhNFoxPbt2yXH33nnHXGOzMxMeHl5Yd68eaisrER8fDwGDx6M6dOni/U2NjZYsWIFoqKioNfr4efnh6NHjyI9PR2rVq1C165dxdqgoCBs2rQJM2bMwMWLF%2BHg4IDExEQ0NjZi%2BfLlknWsXLkSI0aMwOjRoxEREYGSkhJs2LABfn5%2B8PX1FeucnJwwf/58xMfHo7a2FsOHD8euXbtw4sQJpKen8yWjREREJFIIj//ywcfEx8cjMTER169ff67Gv/nNb3D06FGLxx995PjNN99g4cKFOH78OKytrTFhwgTEx8ejW7duZuelpKRg/fr1uHHjBnr16oXo6GhER0eb1VVUVCA2Nha7d%2B%2BGyWSCh4cH4uPjMWTIELPakydPYsmSJSgsLIStrS1CQkKwatWqZt9wv2bNGiQnJ8NgMMDZ2RlxcXHiaycsabpF%2Bebvt7SpR4S3T2fhX6c/Q1Xl/dZeChER0XNr%2Bvf37Nmzzb4fsyU9U8D64x//yNcQ/AcYsIiIiF681gxYKksHHjx4gKNHjyI%2BPv6ZNnATERER0U9UarW62f1DDQ0NEAQBTk5O%2BMtf/tIKSyMiIiJqm1RLliwxC1gKhQKvvPKK%2BDb3pk/dEREREdHTqf7nf/6ntddARERE1K4oW3sBRERERO2NKiIi4rlPUigUSE5OboHlEBEREbV9qr1798JkMqG8vBzAT7/0GQAqKysBAHZ2dma/yJgv1SQiIiKyTHngwAF07NgRixcvRllZGSoqKlBRUYGysjLExsZCq9UiLy8PJSUl4tf333/f2usmIiIi%2BtlSRUVFwdfXF6tXr5Yc6NmzJ9asWQOj0YioqCgcOHCglZZIRERE1LYo8/PzMWzYMIsFw4YNw6lTp17gkoiIiIjaNmXXrl2xf/9%2BiwV79%2B5Fly5dXuCSiIiIiNo2ZUREBL744gtMnjwZhw8fxq1bt3Dr1i0cOnQIv/3tb5Gbm4vZs2e39jqJiIiI2gxV0y9yXr9%2BPXbv3i05aGVlhf/%2B7//Ghx9%2B2ErLIyIiImp7VAqFAn/%2B85%2BxYMEC7N%2B/X/yEYO/eveHr64sePXq08hKJiIiI2hZV0x%2B6d%2B%2BOsLCw1lwLERERUbugBIDGxkZkZmZi7ty5CA4Oxj//%2BU8AwP379/HFF1/gxx9/bNVFEhEREbUlyvv372PUqFHQ6/X45JNPkJ2dLQaqjh07IjIyEps3b27lZRIRERG1HcqlS5fi//7v/5Cbm4ubN29CEATxoEqlQlBQEL766qtWXCIRERFR26LctWsXoqOjMW7cOCiVSrMCFxcX3Lx588WvjIiIiKiNUv7rX/9Cnz59LBbU19ejrq7uBS6JiIiIqG1T9u3bF%2BfOnbNYkJeXhzfffPMFLomIiIiobVPOnDkTH3/8MbKyssRBhUKBuro6LFu2DF999RUiIiJacYlEREREbYtqwYIFuHDhAoKDg2Fvbw8ACAsLg9FoRG1tLWbOnIlZs2a18jKJiIiI2g6VQqHA3//%2Bd/zud79DZmYmrl69isbGRvTt2xd6vR7e3t6tvUYiIiKiNkX11Vdf4bXXXoOXlxe8vLxaez1EREREbZ5y0qRJOHbsWGuvg4iIiKjdUPbr1w/l5eUt0ry6uhrLli3DuHHjYG9vD6VSidTUVLO6GTNmQKlUmn25uro22zclJQWurq7QaDRwcXFBQkJCs3UVFRWIiIhA9%2B7d0alTJ3h7e1v8xOTJkycxcuRIaLVa6HQ6zJs3D9XV1WZ1giBg7dq16NOnDzQaDQYPHowdO3Y8x1UhIiKi9k61dOlSLFmyBCEhIejXr5%2BszY1GI1asWIHevXvDzc0Nhw8ftlhrY2ODlJQUyZvku3TpYlaXnJyMyMhIBAcHY9GiRTh27BhiYmJgMpkQGxsr1gmCgICAAFy4cAGLFy%2BGvb09EhMT4eXlhcLCQvTt21esLSoqgo%2BPD1xdXbFx40bcunUL69atw7Vr15CbmyuZPy4uDmvWrMHs2bMxbNgw5OTkYOrUqVAqldDr9f/B1SIiIqL2QnXu3Dm88sorcHV1xdixY/H6669Do9FIihQKBdavX//czR0dHfHDDz%2Bge/fuOHv2LIYPH255ISoVQkNDn9ivpqYGH3zwAd5%2B%2B2189tlnAICZM2eioaEBK1asQEREhBjKPv/8c5w6dQpZWVmYNGkSACA4OBguLi5YtmwZ0tLSxL5xcXGws7PDkSNHoNVqAQC9e/dGREQE8vLy4OPjAwAoKyvDhg0bEB0dLf5%2BxpkzZ2LMmDGIjY1FcHAwFArFc18nIiIial9UmzZtEr/Zv39/s0X/bsBSq9Xo3r37M9c3Njaiuroatra2zR4/dOgQysvLMWfOHMn43LlzsX37duTm5mLq1KkAgKysLPTs2VMMVwDg4OAAvV6P7du3o66uDmq1GpWVlcjLy8OiRYvEcAUA4eHhWLBgAXbu3CkGrN27d6O%2Bvh6RkZGS%2BSMjI/HOO%2B/g1KlT8PT0fOa/LxEREbVPyrq6Ojztq7a2tsUX8uDBA3Tu3BldunSBvb09oqKizPZANe2fcnd3l4y7u7tDqVRK9ledO3cOQ4cONZvHw8MDDx48wJUrVwAAFy5cQH19vVlPtVoNNzc3Sc%2BioiJotVr079/frKcgCE98Iz4RERG9PFRWVlatvQY4Ojpi8eLFGDp0KBobG7Fv3z4kJibi/PnzOHz4sPhLqA0GA6ysrODg4CA5X61Ww97eHmVlZeKYwWDAmDFjzObS6XQAfnrcN2DAABgMBigUCnH88drjx49Levbo0eOJPYmIiIhUAHD37l10794dBw4caJUXi65cuVLyvV6vh7OzMz744ANkZmaKm8dNJhOsra2b7WFjYwOTySR%2BbzKZ0KFDh2brBEEQa5v%2Ba6n2WXs%2B2ouIiIhebsqmPzz66b2fgwULFkChUCAvL08c02g0Fh9X1tTUSDbnazQaPHz4sNk6hUIh1jb911Lts/Z8tBcRERG93FStvQBLbGxsYG9vL3lHl06nQ0NDA4xGo%2BQxYV1dHe7evQtHR0dJrcFgMOvbNNZUq9PpIAiCxdrHezb3qonHe1pSciAZVjZayZidqxfsBng98TwiIiJ6soyMDGRkZEjGKioqWmk1P%2BOAVVVVBaPRiG7duoljbm5uEAQBBQUF8Pf3F8fPnDmDxsZGuLm5SWof3T/VJD8/Hx07doSLiwsAYODAgVCpVCgoKEBQUJBYV1dXh6KiIoSEhEh6pqSkoLi4WLLRPT8/HwqFQjJ/c3r5zkbHnvK%2Ba4yIiIiA0NBQs9c9FRYWmn2I7UVRFhYW4vz58wCAq1evorCwsNmvlvLw4UNUVVWZjf/pT38CAIwbN04c8/b2hp2dHZKSkiS1SUlJ0Gq1GD9%2BvDgWFBSE27dvIzs7WxwzGo3IzMxEYGAg1Go1AKBz587w8fFBWlqa5FOLqampqK6ulrw8dOLEiVCpVEhMTJTMv3XrVjg5OfEVDURERAQAUD368s/H3y8F/LQ3S6FQoKGh4d%2Ba4C9/%2BQvu3buH0tJSAMAXX3yBkpISAEBMTAzKy8sxZMgQhIaGineF9u3bh7179yIgIACBgYFiLxsbG6xYsQJRUVHQ6/Xw8/PD0aNHkZ6ejlWrVqFr165ibVBQEDZt2oQZM2bg4sWLcHBwQGJiIhobG7F8%2BXLJGleuXIkRI0Zg9OjRiIiIQElJCTZs2AA/Pz/4%2BvqKdU5OTpg/fz7i4%2BNRW1uL4cOHY9euXThx4gTS09P5klEiIiICACg%2B%2BeSTZ9rd/rvf/e7fmuCNN97A999/3%2ByxGzduoEuXLoiJiUF%2Bfj7KysrQ0NCAfv36Ydq0aVi0aBGae41ESkoK1q9fjxs3bqBXr16Ijo5GdHS0WV1FRQViY2Oxe/dumEwmeHh4ID4%2BHkOGDDGrPXnyJJYsWYLCwkLY2toiJCQEq1atkrx8tMmaNWuQnJwMg8EAZ2dnxMXFYcqUKRavQdMtyjd/v6VNPSK8fToL/zr9Gaoq77f2UoiIiJ5b07%2B/Z8%2BebfbdmC1JIfzcPj7YDjFgERERvXitGbCUTy8hIiIioufBgEVEREQkMwYsIiIiIpkxYBERERHJjAGLiIiISGYMWEREREQyY8AiIiIikhkDFhEREZHMGLCIiIiIZMaARURERCQzBiwiIiIimTFgEREREcmMAYuIiIhIZgxYRERERDJjwCIiIiKSGQMWERERkcwYsIiIiIhkxoBFREREJDMGLCIiIiKZMWARERERyYwBi4iIiEhmDFhEREREMmPAIiIiIpIZAxYRERGRzBiwiIiIiGTGgEVEREQksxYNWNXV1Vi2bBnGjRsHe3t7KJVKpKamNltbXFwMf39/2Nrawt7eHuHh4TAajc3WpqSkwNXVFRqNBi4uLkhISGi2rqKiAhEREejevTs6deoEb29vnDt3rtnakydPYuTIkdBqtdDpdJg3bx6qq6vN6gRBwNq1a9GnTx9oNBoMHjwYO3bseMYrQkRERC%2BDFg1YRqMRK1asQHFxMdzc3KBQKJqtKy0txahRo3D9%2BnWsXr0asbGxyM3NxVtvvYX6%2BnpJbXJyMmbNmoVBgwYhISEBnp6eiImJwbp16yR1giAgICAAO3bsEI/fuXMHXl5e%2BPbbbyW1RUVF8PHxQU1NDTZu3IhZs2Zh27Zt0Ov1ZmuNi4vD0qVL4efnh4SEBPTu3RtTp07Fzp07/8OrRURERO2FqiWbOzo64ocffkD37t1x9uxZDB8%2BvNm6lStXwmQyoaioCE5OTgCA4cOHw9fXF5988gneffddAEBNTQ0%2B%2BOADvP322/jss88AADNnzkRDQwNWrFiBiIgIdOnSBQDw%2Beef49SpU8jKysKkSZMAAMHBwXBxccGyZcuQlpYmzh8XFwc7OzscOXIEWq0WANC7d29EREQgLy8PPj4%2BAICysjJs2LAB0dHR2Lx5szj/mDFjEBsbi%2BDgYIshkoiIiF4eLXoHS61Wo3v37k%2Bty87OxoQJE8RwBQBjx46Fi4uL5M7QoUOHUF5ejjlz5kjOnzt3LqqqqpCbmyuOZWVloWfPnmK4AgAHBwfo9Xrk5OSgrq4OAFBZWYm8vDyEhYWJ4QoAwsPDodVqJfPv3r0b9fX1iIyMlMwfGRmJW7du4dSpU0/9uxIREVH71%2Bqb3MvKyvDjjz9i2LBhZsc8PDwke6aa/uzu7i6pc3d3h1KpNKsdOnRosz0fPHiAK1euAAAuXLiA%2Bvp6s55qtRpubm6SnkVFRdBqtejfv79ZT0EQLO7vIiIiopdLqwcsg8EAANDpdGbHdDodysvLxbtNBoMBVlZWcHBwkNSp1WrY29ujrKxM0tdSTwBircFggEKhsFj7eM8ePXo8tScRERG93Fo9YJlMJgBAhw4dzI7Z2NhIakwmE6ytrZvtY2NjI9Y11VrqKQiCpOeT5n/Wno/2IiIiopdbqwcsjUYDAHj48KHZsZqaGkmNRqNBbW1ts31qamrEuqZaSz0VCoWk55Pmf9aej/YiIiKil1uLforwWTQ9Xmt6VPgog8EAOzs7qNVqsbahoQFGo1HymLCurg53796Fo6OjpK%2BlngDEWp1OB0EQLNY%2B3vPw4cNP7WlJyYFkWNloJWN2rl6wG%2BD1xPOIiIjoyTIyMpCRkSEZq6ioaKXV/AwClqOjI7p164aCggKzY19//TXc3NzE793c3CAIAgoKCuDv7y%2BOnzlzBo2NjWa1x48fN%2BuZn5%2BPjh07wsXFBQAwcOBAqFQqFBQUICgoSKyrq6tDUVERQkJCJD1TUlJQXFws2eien58PhUIhmb85vXxno2PPfk%2BsISIioucXGhqK0NBQyVhhYaHZh9helFZ/RAgAkydPxpdffonS0lJx7ODBg7hy5YrkZZ/e3t6ws7NDUlKS5PykpCRotVqMHz9eHAsKCsLt27eRnZ0tjhmNRmRmZiIwMFC8K9a5c2f4%2BPggLS1N8ub21NRUVFdXS%2BafOHEiVCoVEhMTJfNv3boVTk5O8PT0/A%2BvBBEREbUHLX4H6y9/%2BQvu3bsnhqcvvvgCJSUlAICYmBjY2toiLi4OmZmZ8PLywrx581BZWYn4%2BHgMHjwY06dPF3vZ2NhgxYoViIqKgl6vh5%2BfH44ePYr09HSsWrUKXbt2FWuDgoKwadMmzJgxAxcvXoSDgwMSExPR2NiI5cuXS9a4cuVKjBgxAqNHj0ZERARKSkqwYcMG%2BPn5wdfXV6xzcnLC/PnzER8fj9raWgwfPhy7du3CiRMnkJ6ezpeMEhEREQBAIQiC0JITvPHGG/j%2B%2B%2B%2BbPXbjxg289tprAIBvvvkGCxcuxPHjx2FtbY0JEyYgPj4e3bp1MzsvJSUF69evx40bN9CrVy9ER0cjOjrarK6iogKxsbHYvXs3TCYTPDw8EB8fjyFDhpjVnjx5EkuWLEFhYSFsbW0REhKCVatWSV4%2B2mTNmjVITk6GwWCAs7Mz4uLiMGXKFIvXoOkW5Zu/39KmHhHePp2Ff53%2BDFWV91t7KURERM%2Bt6d/fs2fPNvtuzJbU4gGLGLCIiIhaQ2sGrJ/FHiwiIiKi9oQBi4iIiEhmDFhEREREMmPAIiIiIpIZAxYRERGRzBiwiIiIiGTGgEVEREQkMwYsIiIiIpkxYBERERHJjAGLiIiISGYMWEREREQyY8AiIiIikhkDFhEREZHMGLCIiIiIZMaARURERCQzBiwiIiIimTFgEREREcmMAYuIiIhIZgxYRERERDJjwCIiIiKSGQMWERERkcwYsIiIiIhkxoBFREREJDMGLCIiIiKZMWARERERyYwBi4iIiEhmP4uAdeTIESiVSrMvKysrfP3115La4uJi%2BPv7w9bWFvb29ggPD4fx/7V370FRnecfwL9nZdddWLAsi3GhXlphM6HUbMRSEes4VAcvRMeKmLQR9ZdIxtSGxI5Y09h0qqitJjHqkBh1Yh2MpVFnYqJNGzLGNF6CiDhqYonOkJ%2BX/WERlYu7LMLz%2B8Ph1O0uKvEsuyvfz8zOsO95znvec5498HjO8d36er/9btmyBSkpKTCZTLDb7diwYYPfuOvXr6OgoAD9%2B/eH2WxGVlYWjh8/7jf20KFDGD16NKKiomCz2VBYWIiWlpb7OwBERET0QIkI9gBu98ILL2DEiBFebUlJSerPFy9exE9%2B8hPExsZi1apVaGpqwurVq3Hq1ClUVFQgIuI/u7Nx40bMnz8fM2bMwK9//Wv885//xPPPPw%2BXy4VFixapcSKCSZMm4eTJkygqKkJcXBxKSkowduxYVFVVYejQoWpsdXU1xo0bh5SUFLz%2B%2Buu4cOECVq9ejbNnz2Lv3r0BPDJEREQUTkKqwBo9ejR%2B9rOfdbm8uPPJ1vcAABKSSURBVLgYLpcL1dXVSExMBAD86Ec/wvjx47F161Y888wzAAC3242XX34Zjz/%2BOMrKygAATz/9NNrb27Fs2TIUFBSgX79%2BAID33nsPhw8fxq5duzBt2jQAwIwZM2C32/HKK6%2BgtLRU3f5LL70Ei8WCAwcOICoqCgAwePBgFBQUoLy8HOPGjdP%2BoBAREVHYCYlbhLdrbm5Ge3u732W7d%2B9GTk6OWlwBwE9/%2BlPY7Xb89a9/Vdv279%2BPhoYGPPfcc17r//KXv0Rzc7PX1aZdu3ZhwIABanEFAFarFXl5eXj//ffR1tYGAGhqakJ5eTlmzZqlFlcAkJ%2Bfj6ioKK/tExERUe8WUgXW3LlzERMTA6PRiKysLBw7dkxddunSJVy%2BfNnnFiIApKenez0z1flzWlqaV1xaWhp0Op1P7PDhw/32eePGDdTU1AAATp48iZs3b/r0qdfr4XA4unxmi4iIiHqfkCiwDAYDcnNz8cYbb2DPnj0oLi7GqVOnMGbMGJw4cQIA4HQ6AQA2m81nfZvNhoaGBvVqk9PpRJ8%2BfWC1Wr3i9Ho94uLicOnSJbXN6XR22ScANdbpdEJRlC5jb%2B%2BTiIiIereQeAYrIyMDGRkZ6vucnBxMnz4dw4YNw5IlS7Bv3z64XC4AQN%2B%2BfX3WNxqNAACXywW9Xg%2BXywWDweB3W0ajUe2rc52u%2BhQRNfZu27%2B9TyIiIurdQuIKlj9Dhw7F1KlTsX//fogITCYTAKC1tdUn1u12A4AaYzKZ4PF4/PbrdrvVuM7YrvpUFMWrzztt//Y%2BiYiIqHcLiStYXRk4cCA8Hg9aWlrUW3Odtwpv53Q6YbFYoNfrAdy6Zdfe3o76%2Bnqv24RtbW24cuUKEhIS1DabzdZlnwDUWJvNBhHpMvb2Prty/uON6GOM8mqzpIyF5Qdj77ouERERdW3Hjh3YsWOHV9v169eDNJoQL7DOnTsHo9EIs9kMs9mM%2BPh4VFZW%2BsRVVFTA4XCo7x0OB0QElZWVmDBhgtp%2B9OhRdHR0%2BMR%2B/vnnPn0eOXIEkZGRsNvtAIDU1FRERESgsrISubm5alxbWxuqq6sxc%2BbMu%2B7PwPHPInJA0l3jiIiIqHuefPJJPPnkk15tVVVVPv85raeExC1CfzOxnzhxAh988AGys7PVtunTp%2BPDDz/ExYsX1bZPPvkENTU1yMvLU9uysrJgsVjw5ptvevX55ptvIioqCpMnT1bbcnNzUVdXh927d3uNZ%2BfOnZgyZYp6VSwmJgbjxo1DaWmp18zt27ZtQ0tLi9f2iYiIqHcLiStYM2fOhMlkwqhRo9C/f3%2BcPn0amzZtgtlsxsqVK9W4l156CTt37sTYsWNRWFiIpqYmrFmzBo8%2B%2BijmzJmjxhmNRixbtgwLFixAXl4esrOz8dlnn%2BHdd9/FihUr8J3vfEeNzc3Nxdq1azF37lycPn0aVqsVJSUl6OjowO9//3uvcRYXFyMzMxNjxoxBQUEBzp8/j9deew3Z2dkYP358oA8TERERhYmQKLCmTZuG7du34/XXX0djYyPi4%2BORm5uL3/3ud/j%2B97%2Bvxn33u9/FgQMHsHDhQixZsgQGgwE5OTlYs2aNeqWp0/z582EwGPDqq6/igw8%2BwMCBA7F27Vr86le/8orT6XT429/%2BhkWLFmH9%2BvVwuVxIT0/Htm3bkJyc7BX72GOPoby8HIsXL8bChQsRHR2NefPmYcWKFYE7OERERBR2FBGRYA/iQdd5D/iR/1kfVs9g1X2xC1e/KENzU2Owh0JERNRtnX9/jx075ndS8UAKiWewiIiIiB4kLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjIfFVORS6Ojo6UFVVFexhdJvVasWgQYOCPQwiIuqlWGBRl266m%2BFyuZCWlhbsoXSb0RSJf535ikUWEREFBQss6lKHxw1IB4ZMWQSTNXwKFVf9/6J2z2rU19ezwCIioqBggUV3ZbIOCqsvqSYiIgo2PuROREREpDEWWEREREQaY4FFREREpDEWWEREREQaY4FFREREpDEWWEREREQaY4FFREREpDEWWEREREQaY4FFREREpDEWWEREREQaY4FFREREpDEWWEREREQaY4FFREREpDEWWN3k8XiwePFiJCYmIjIyEiNHjkR5eXmwh0VEREQhhAVWN82ePRtr167FrFmzsG7dOkRERGDSpEk4dOhQsIdGREREIYIFVjdUVFSgrKwMq1atwqpVq/DMM8/gk08%2BweDBg1FUVBTs4VEQ7dixI9hDoABifh9szC8FAgusbti5cyciIiIwb948ta1v3754%2BumncfjwYVy8eDGIo6Ng4i/oBxvz%2B2BjfikQWGB1Q3V1Nex2O8xms1d7enq6upyIiIgoItgDCCdOpxM2m82n3WazQURw6dKlIIyKuvLVV1/12LauX7%2BOqqoqTfqyWq0YNGiQJn0REVFwsMDqBpfLhb59%2B/q0G41GdTkFX1tzA6AoeOqpp3p0u2lpaZr0YzRF4l9nvmKRRUQUxlhgdYPJZEJra6tPu9vtVpf701l41e5diz4G/zGhyH311hW5a2ePwlV/PsijuXfN508DIoh7NBt6s6VHtnn1y88QmzLmvvtpa27AlRN/x7Zt2/C9731Pg5H1HJ1Oh46OjmAPo9vuZdwXLlzA9u3be2hE9yZcjzcQemO/1/yG2rjvVbiO22q1Ij4%2B/r766LyTEYwLICywusFms/m9Deh0OgEACQkJfterra0FALjqzgVsbIHk/GxbsIfwrVw58fce3d7/HdTuQdmlS5dq1hdpo6eviFLPYn4fbLW1tcjMzOzRbbLA6gaHw4FPP/0Uzc3NXg%2B6HzlyBIqiwOFw%2BF0vOzsbpaWlGDJkSJdXuYiIiEhbLpcLtbW1yM7O7vFtKyIiPb7VMFVRUYGRI0dizZo1WLhwIYBbM7unpqYiPj4eBw8eDPIIiYiIKBTwClY3pKenY8aMGViyZAnq6uqQlJSErVu34ptvvsE777wT7OERERFRiOAVrG7yeDxYunQpSktLcfXqVQwbNgzLly/HuHHjgj00IiIiChEssIiIiIg0xpnciYiIiDTGAiuAPB4PFi9ejMTERERGRmLkyJEoLy8P9rAIwIEDB6DT6Xxeffr0QUVFhVfsmTNnMGHCBERHRyMuLg75%2Bfmor6/32%2B%2BWLVuQkpICk8kEu92ODRs2%2BI27fv06CgoK0L9/f5jNZmRlZeH48eOa72dv0NLSgldeeQUTJ05EXFwcdDodtm3zP7VIsHN56NAhjB49GlFRUbDZbCgsLERLS8u32/Fe4l7zO3fuXL/ndEpKit9%2Bmd/QUFlZiQULFiA1NRVmsxmDBw/GzJkz8fXXX/vEht35KxQwTzzxhBgMBlm8eLFs2rRJMjMzRa/Xy8GDB4M9tF7v008/FUVR5MUXX5Tt27d7va5cuaLGXbhwQaxWqyQnJ8uGDRtk5cqVYrFY5LHHHpO2tjavPt966y1RFEXy8vJk8%2BbNMnv2bFEURf70pz95xXV0dMioUaMkOjpali1bJiUlJZKamioxMTFy9uzZHtn/B0ltba0oiiJDhgyRrKws0el08uc//9knLti5PH78uJhMJklLS5ONGzfK0qVLxWg0yqRJk7Q/KA%2BQe83vnDlzxGQyybvvvut1Pn/44Yc%2Bscxv6MjNzZWEhAQpLCyULVu2SHFxsQwYMEDMZrOcPn1ajQvH85cFVoB88cUXoiiKvPbaa2qb2%2B2WpKQkyczMDOLISOQ/BdauXbvuGDd//nyJioqSCxcuqG3l5eWiKIps2rRJbXO5XGK1WmXKlCle6z/11FMSHR0t165dU9vKyspEURTZvXu32vbvf/9bYmNj5Re/%2BMX97lqv4/F4pK6uTkREKisrRVEUv3%2BAg53LiRMnSmJiojQ3N6ttmzdvFp1OJx9//PG33PsH373md86cORIdHX3X/pjf0HL48GGfAunrr78Wo9Eos2bNUtvC8fxlgRUgixYtEr1eL01NTV7tK1euFJ1O5/UhoZ53e4HV1NQkN2/e9Bv30EMPycyZM33aH374YRk/frz6ft%2B%2BfaLT6eSjjz7yijt8%2BLAoiiLbt29X2/Ly8sRms/n0%2Beyzz4rZbBaPx/Ntd6vXu9Mf4GDmsrGxUfR6vfzmN7/xivN4PBIdHS3z5s3r3o72UvdSYLW3t0tjY2OXfTC/4SEtLU1GjBihvg/H85fPYAVIdXU17Ha714zvwK25tDqXU/DNnTsXMTExMBqNyMrKwrFjx9Rlly5dwuXLlzFixAif9dLT073u03f%2B/N9f%2BJyWlgadTucTO3z4cL993rhxAzU1Nfe9X%2BQt2Lk8efIkbt686dOnXq%2BHw%2BHg83cauXHjBmJiYtCvXz/ExcVhwYIFPs/IML/hoa6uDlarFUD4nr8ssALE6XTCZrP5tNtsNoiI3%2B80pJ5jMBiQm5uLN954A3v27EFxcTFOnTqFMWPG4MSJEwD%2B8x2TXeWxoaEBbW1tamyfPn3UXwid9Ho94uLivPJ9p88GAH42AiDYuXQ6nVAUpctY5vz%2BJSQkoKioCFu3bsVf/vIXTJ06FSUlJZg4caLXFx0zv6GvtLQUFy9exBNPPAEgfM9fzuQeIC6XC3379vVpNxqN6nIKnoyMDGRkZKjvc3JyMH36dAwbNgxLlizBvn371BzdLY96vR4ulwsGg8HvtoxGo1e%2B7/TZEBF%2BNgIg2Lm82/aZ8/tXXFzs9T4vLw/Jycl4%2BeWXsXPnTuTl5QEA8xvizpw5gwULFiAzMxP5%2BfkAwvf85RWsADGZTGhtbfVpd7vd6nIKLUOHDsXUqVOxf/9%2BiIiao3vJo8lkgsfj8duv2%2B32yvedPhuKovCzEQDBzuXdts%2BcB8aLL74IRVG8psdhfkNXXV0dJk%2BejNjYWLz33ntQFAVA%2BJ6/LLACxGazqZc1b9fZlpCQ0NNDonswcOBAeDwetLS0qJeDu8qjxWKBXq8HcCvf7e3tPnOytLW14cqVK1755mej5wU7l52PBnQVy5wHhtFoRFxcHBoaGtQ25jc0NTY2YsKECWhsbMRHH32EAQMGqMvC9fxlgRUgDocDNTU1aG5u9mo/cuQIFEWBw%2BEI0sjoTs6dOwej0Qiz2YyEhATEx8ejsrLSJ66iosIrhw6HAyLiE3v06FF0dHT4xFZVVfn0eeTIEURGRsJut2u4RwQg6LlMTU1FRESET59tbW2orq7m74MAaW5uRn19PeLj49U25jf0tLa2IicnB2fPnsXevXvx8MMPey0P2/PX/3%2BQpPvVOQ/Wq6%2B%2Bqra1trZKcnKyjBo1KogjI5Fbc538t%2BrqajEYDDJt2jS17U5zr7z99ttqm8vlkri4OL9zr5jNZrl69araVlZWJjqdzmsOrs65V37%2B859rsn%2B91bedB6sncnmneXT%2B8Y9/fPud7kW6yq/b7faZEkfk1nQ5Op1O3n//fbWN%2BQ0t7e3tMmXKFDEYDD5TK9wuHM9fFlgBlJeXJwaDQYqKiuTtt9%2BWUaNGicFgkM8//zzYQ%2Bv1srKyZPLkyVJcXCybNm2SF154QaKiosRisciZM2fUuPPnz0t8fLwkJSXJ%2BvXrZcWKFWKxWMThcPjMV1VSUiI6nU5mzJghmzdvlvz8fNHpdLJq1SqvuPb2dsnIyJCYmBj5wx/%2BoM4e3K9fP6mpqemR/X/QbNiwQZYvXy7z588XRVFk%2BvTpsnz5clm%2BfLk6J1Kwc1lVVSUmk0mGDx8ub731lvz2t78Vk8kkEydODOzBeQDcLb%2B1tbUSGxsrzz33nKxbt07WrVsnkyZNEkVRZPLkyT79Mb%2Bho7CwUBRFkalTp0ppaanPq1M4nr8ssAKotbVVioqKJCEhQUwmk/z4xz/mjL4hYv369TJy5EixWq1iMBgkMTFRZs%2BeLefOnfOJ/fLLL2XChAliNpvFYrFIfn6%2BXL582W%2B/mzdvlkceeUSMRqMkJyfLunXr/MZdu3ZN5s2bJ/Hx8WI2myUrK0uqqqo03cfeZMiQIaLT6fy%2BvvnmGzUu2Lk8ePCgjB49WiIjI%2BWhhx6S559/3utfxOTf3fJ77do1yc/PF7vdLmazWUwmk/zwhz%2BUP/7xj11OIsz8hoaxY8d2mVudTucVG27nryIicue7o0RERETUHXzInYiIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhjLLCIiIiINMYCi4iIiEhj/w8siyoDwGuVRgAAAABJRU5ErkJggg%3D%3D\"/>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-6413759118407350863\">\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">282593</td>\n",
-       "        <td class=\"number\">66.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">960.0</td>\n",
-       "        <td class=\"number\">1751</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1040.0</td>\n",
-       "        <td class=\"number\">1338</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1092.0</td>\n",
-       "        <td class=\"number\">1193</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1008.0</td>\n",
-       "        <td class=\"number\">1066</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1056.0</td>\n",
-       "        <td class=\"number\">1024</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1144.0</td>\n",
-       "        <td class=\"number\">902</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1248.0</td>\n",
-       "        <td class=\"number\">859</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1012.0</td>\n",
-       "        <td class=\"number\">802</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1000.0</td>\n",
-       "        <td class=\"number\">801</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (4656)</td>\n",
-       "        <td class=\"number\">135433</td>\n",
-       "        <td class=\"number\">31.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:48%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-6413759118407350863\">\n",
-       "            <p class=\"h4\">Minimum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">282593</td>\n",
-       "        <td class=\"number\">66.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">176.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">280.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">320.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">324.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "            <p class=\"h4\">Maximum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">16000.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">17097.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">18474.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">19076.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">19269.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">GARAGE<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>3</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>63.2%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>270248</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable7071564438537659807\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Y</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:56%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 35.2%\">\n",
-       "            150397\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>N</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 1.7%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        7117\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 63.2%\">\n",
-       "            270248\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable7071564438537659807, #minifreqtable7071564438537659807\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable7071564438537659807\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Y</td>\n",
-       "        <td class=\"number\">150397</td>\n",
-       "        <td class=\"number\">35.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:56%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">N</td>\n",
-       "        <td class=\"number\">7117</td>\n",
-       "        <td class=\"number\">1.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">270248</td>\n",
-       "        <td class=\"number\">63.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">GARAGESQFT<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>1444</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.9%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>63.2%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>270248</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-5860854004535267691\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>440</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:6%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 3.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        14105\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>528</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 2.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        9489\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>0</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 2.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        8476\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (1440)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:46%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 29.3%\">\n",
-       "            125444\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 63.2%\">\n",
-       "            270248\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-5860854004535267691, #minifreqtable-5860854004535267691\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-5860854004535267691\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">440</td>\n",
-       "        <td class=\"number\">14105</td>\n",
-       "        <td class=\"number\">3.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">528</td>\n",
-       "        <td class=\"number\">9489</td>\n",
-       "        <td class=\"number\">2.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0</td>\n",
-       "        <td class=\"number\">8476</td>\n",
-       "        <td class=\"number\">2.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">484</td>\n",
-       "        <td class=\"number\">8300</td>\n",
-       "        <td class=\"number\">1.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">480</td>\n",
-       "        <td class=\"number\">6201</td>\n",
-       "        <td class=\"number\">1.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">576</td>\n",
-       "        <td class=\"number\">6185</td>\n",
-       "        <td class=\"number\">1.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">400</td>\n",
-       "        <td class=\"number\">4740</td>\n",
-       "        <td class=\"number\">1.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">240</td>\n",
-       "        <td class=\"number\">3884</td>\n",
-       "        <td class=\"number\">0.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">280</td>\n",
-       "        <td class=\"number\">3320</td>\n",
-       "        <td class=\"number\">0.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">624</td>\n",
-       "        <td class=\"number\">2799</td>\n",
-       "        <td class=\"number\">0.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (1433)</td>\n",
-       "        <td class=\"number\">90015</td>\n",
-       "        <td class=\"number\">21.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:33%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">270248</td>\n",
-       "        <td class=\"number\">63.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">GREEN_ACRE<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>2</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable3918076508147311913\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>N</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 99.8%\">\n",
-       "            426987\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Y</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        775\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable3918076508147311913, #minifreqtable3918076508147311913\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable3918076508147311913\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">N</td>\n",
-       "        <td class=\"number\">426987</td>\n",
-       "        <td class=\"number\">99.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Y</td>\n",
-       "        <td class=\"number\">775</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">HEATING<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>7</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>63.4%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>271230</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable3858227831042992916\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Forced Air</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:52%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 33.1%\">\n",
-       "            141681\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Hot Water</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 1.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        6779\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>0</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 1.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        5315\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (3)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2757\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 63.4%\">\n",
-       "            271230\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable3858227831042992916, #minifreqtable3858227831042992916\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable3858227831042992916\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Forced Air</td>\n",
-       "        <td class=\"number\">141681</td>\n",
-       "        <td class=\"number\">33.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:52%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Hot Water</td>\n",
-       "        <td class=\"number\">6779</td>\n",
-       "        <td class=\"number\">1.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0</td>\n",
-       "        <td class=\"number\">5315</td>\n",
-       "        <td class=\"number\">1.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Gravity</td>\n",
-       "        <td class=\"number\">1761</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Electric</td>\n",
-       "        <td class=\"number\">640</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Other</td>\n",
-       "        <td class=\"number\">356</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">271230</td>\n",
-       "        <td class=\"number\">63.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">HOMESTEAD<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>3</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.3%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>1425</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-523105349288407073\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Y</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 74.3%\">\n",
-       "            317978\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>N</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:34%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 25.3%\">\n",
-       "            108359\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1425\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-523105349288407073, #minifreqtable-523105349288407073\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-523105349288407073\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Y</td>\n",
-       "        <td class=\"number\">317978</td>\n",
-       "        <td class=\"number\">74.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">N</td>\n",
-       "        <td class=\"number\">108359</td>\n",
-       "        <td class=\"number\">25.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:34%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">1425</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">HOME_STYLE<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>16</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>64.4%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>275362</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-7643217223979156980\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Rambler</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:21%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 13.2%\">\n",
-       "            56372\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Other</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 8.8%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        37774\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Split Entry</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:6%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 3.7%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        15713\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (12)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:16%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 9.9%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        42541\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 64.4%\">\n",
-       "            275362\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-7643217223979156980, #minifreqtable-7643217223979156980\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7643217223979156980\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Rambler</td>\n",
-       "        <td class=\"number\">56372</td>\n",
-       "        <td class=\"number\">13.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Other</td>\n",
-       "        <td class=\"number\">37774</td>\n",
-       "        <td class=\"number\">8.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Split Entry</td>\n",
-       "        <td class=\"number\">15713</td>\n",
-       "        <td class=\"number\">3.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Split Level</td>\n",
-       "        <td class=\"number\">11761</td>\n",
-       "        <td class=\"number\">2.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Expansion</td>\n",
-       "        <td class=\"number\">9107</td>\n",
-       "        <td class=\"number\">2.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Town House</td>\n",
-       "        <td class=\"number\">5681</td>\n",
-       "        <td class=\"number\">1.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Colonial</td>\n",
-       "        <td class=\"number\">5289</td>\n",
-       "        <td class=\"number\">1.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Condo</td>\n",
-       "        <td class=\"number\">4406</td>\n",
-       "        <td class=\"number\">1.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Townhouse</td>\n",
-       "        <td class=\"number\">2829</td>\n",
-       "        <td class=\"number\">0.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Half Double</td>\n",
-       "        <td class=\"number\">1480</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (5)</td>\n",
-       "        <td class=\"number\">1988</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">275362</td>\n",
-       "        <td class=\"number\">64.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>LANDMARK</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">LOT<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>392</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.1%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>32.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>137057</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2092755328415747942\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>001</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 6.7%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        28792\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>002</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:12%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 5.9%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        25207\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>003</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:11%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 5.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        22463\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (388)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 50.1%\">\n",
-       "            214243\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:64%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 32.0%\">\n",
-       "            137057\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2092755328415747942, #minifreqtable2092755328415747942\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2092755328415747942\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">001</td>\n",
-       "        <td class=\"number\">28792</td>\n",
-       "        <td class=\"number\">6.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:21%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">002</td>\n",
-       "        <td class=\"number\">25207</td>\n",
-       "        <td class=\"number\">5.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">003</td>\n",
-       "        <td class=\"number\">22463</td>\n",
-       "        <td class=\"number\">5.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">004</td>\n",
-       "        <td class=\"number\">20676</td>\n",
-       "        <td class=\"number\">4.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:15%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">005</td>\n",
-       "        <td class=\"number\">18117</td>\n",
-       "        <td class=\"number\">4.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">006</td>\n",
-       "        <td class=\"number\">16763</td>\n",
-       "        <td class=\"number\">3.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">007</td>\n",
-       "        <td class=\"number\">14964</td>\n",
-       "        <td class=\"number\">3.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:11%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">008</td>\n",
-       "        <td class=\"number\">13712</td>\n",
-       "        <td class=\"number\">3.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">009</td>\n",
-       "        <td class=\"number\">12273</td>\n",
-       "        <td class=\"number\">2.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">010</td>\n",
-       "        <td class=\"number\">11458</td>\n",
-       "        <td class=\"number\">2.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (381)</td>\n",
-       "        <td class=\"number\">106280</td>\n",
-       "        <td class=\"number\">24.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:77%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">137057</td>\n",
-       "        <td class=\"number\">32.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>MULTI_USES</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>NUM_UNITS</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">OPEN_SPACE<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>2</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6348015887819663876\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>N</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 100.0%\">\n",
-       "            427602\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Y</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        160\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6348015887819663876, #minifreqtable-6348015887819663876\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6348015887819663876\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">N</td>\n",
-       "        <td class=\"number\">427602</td>\n",
-       "        <td class=\"number\">100.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Y</td>\n",
-       "        <td class=\"number\">160</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>OWNER_MORE</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>OWN_ADD_L1</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>OWN_ADD_L2</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>OWN_ADD_L3</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>PARC_CODE</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">PIN<br/>\n",
-       "            <small>Categorical, Unique</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3 collapse in\" id=\"minivalues-7035777685304732758\"><table border=\"1\" class=\"dataframe example_values\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>First 3 values</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <td>053-1602924320023</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>053-2411822320004</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>053-2502924340142</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table></div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minivalues-7035777685304732758\"><table border=\"1\" class=\"dataframe example_values\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>Last 3 values</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <td>053-3202924330157</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>053-2011622120074</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td>053-2711823320002</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table></div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#values-7035777685304732758,#minivalues-7035777685304732758\" aria-expanded=\"false\"\n",
-       "       aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 collapse\" id=\"values-7035777685304732758\">\n",
-       "    <p class=\"h4\">First 10 values</p>\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">053-0102724110003</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">053-0102724110004</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">053-0102724110005</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">053-0102724110006</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">053-0102724110008</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "    <p class=\"h4\">Last 10 values</p>\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">053-3612123410014</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">053-3612123410015</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">053-3612123410016</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">053-3612123410018</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">053-3612123410019</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">PLAT_NAME<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>18488</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>4.3%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.3%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>1429</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable6151171685871657444\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>UNPLATTED</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1412\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>REMINGTONS 2ND ADDN TO MPLS</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1042\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>CONDO NO 0587 VILLAGE HOMES OF EDIN</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        927\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (18484)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 98.9%\">\n",
-       "            422952\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1429\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable6151171685871657444, #minifreqtable6151171685871657444\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable6151171685871657444\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">UNPLATTED</td>\n",
-       "        <td class=\"number\">1412</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">REMINGTONS 2ND ADDN TO MPLS</td>\n",
-       "        <td class=\"number\">1042</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">CONDO NO 0587 VILLAGE HOMES OF EDIN</td>\n",
-       "        <td class=\"number\">927</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">RGT ST LOUIS PARK</td>\n",
-       "        <td class=\"number\">915</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">SECOND DIV OF REMINGTON PARK</td>\n",
-       "        <td class=\"number\">744</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">WEST MINNEAPOLIS 2ND DIVISION</td>\n",
-       "        <td class=\"number\">708</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">FOREST HEIGHTS</td>\n",
-       "        <td class=\"number\">704</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">REMINGTONS 3RD ADDN TO MPLS</td>\n",
-       "        <td class=\"number\">679</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">CALHOUN PARK</td>\n",
-       "        <td class=\"number\">656</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PARK MANOR</td>\n",
-       "        <td class=\"number\">626</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (18477)</td>\n",
-       "        <td class=\"number\">417920</td>\n",
-       "        <td class=\"number\">97.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">1429</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>PREFIXTYPE</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>PREFIX_DIR</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">SALE_DATE<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>553</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.2%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>22.6%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>96622</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable7463900213145227341\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>2014-06-01</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2383\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>2014-08-01</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.5%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2242\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>2014-07-01</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.5%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2237\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (549)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 75.8%\">\n",
-       "            324278\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:30%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 22.6%\">\n",
-       "            96622\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable7463900213145227341, #minifreqtable7463900213145227341\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable7463900213145227341\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2014-06-01</td>\n",
-       "        <td class=\"number\">2383</td>\n",
-       "        <td class=\"number\">0.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2014-08-01</td>\n",
-       "        <td class=\"number\">2242</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2014-07-01</td>\n",
-       "        <td class=\"number\">2237</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2013-08-01</td>\n",
-       "        <td class=\"number\">2226</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2013-06-01</td>\n",
-       "        <td class=\"number\">2218</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2013-07-01</td>\n",
-       "        <td class=\"number\">2217</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2014-05-01</td>\n",
-       "        <td class=\"number\">2057</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2013-05-01</td>\n",
-       "        <td class=\"number\">2018</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2005-06-01</td>\n",
-       "        <td class=\"number\">1956</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2004-06-01</td>\n",
-       "        <td class=\"number\">1916</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (542)</td>\n",
-       "        <td class=\"number\">309670</td>\n",
-       "        <td class=\"number\">72.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">96622</td>\n",
-       "        <td class=\"number\">22.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">SALE_VALUE<br/>\n",
-       "            <small>Numeric</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>40903</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>9.6%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "\n",
-       "                <tr>\n",
-       "                    <th>Mean</th>\n",
-       "                    <td>212720</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>253490000</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"alert\">\n",
-       "                    <th>Zeros (%)</th>\n",
-       "                    <td>22.9%</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-6830112477044886234\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABUhJREFUeJzt3M9L1Hkcx/HXd2zEAXV0m/EHNNNQW9al0dAkxAxBTJhLEEuHolM/DkWBWNHBWOpihzp0KE/hOJ4UEgrFk/%2BAVgQ5NhjZt8AahFInXGT1vZdtdid33zpr3%2B93XF8P%2BILfr5/5fj/C58l85wdCHBCLxQQAN25ZbbFYzPa1ug0OCIVCAIBr164hEAisOT4vLw%2B1tbVwuVwWz4xyUTwex6lTp9Lrxk6OBOLxeAAAXV1d637MvXv3cOXKFaumRJvAt3VjJ0cC%2BebnX36Fxx9ac9xUXweSyaT1EyL6jqOBuAt/Qr63bM1xrjxHp0lbGG/qiRQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBTbnLjo4uIiACARbYfhWrvR35d%2Bw4cPH9DX17fua7hcLqysrPzwsVttfLbn9vl88Pv96x6/HvF4HMBf68ZW4oBYLCYAuHHLaovFYravVUNEBDabnZ3FyMgIQqEQPB6P3ZenTWZxcRHT09NobW2Fz%2Bez9dqOBEK0WfBFOpGCgRApLA1kamoKDQ0NqKqqQn19ffrdiO89ffoU%2B/fvR1VVFU6cOIFUKmXltChHtba2orq6GjU1NWhqasKLFy/%2BcZyt68XKdwCam5slGo2KiMjAwIDU1dWtGpNKpaS8vFwSiYSIiFy8eFE6OjqsnBblqLm5ufTPjx8/lnA4vGqM3evFskCSyaR4vV5ZXl5OH6uoqJA3b95kjOvv75e2trb0/sTEhOzYscOqadEm8ejRI6mpqVl13O71YtkHhe/fv0dlZSVcf/sgMBgMwjRN7Nq1K33MNE3s3LkzvR8KhfDx40esrKxkPJa2hjNnzmB0dBSGYWBoaGjV7%2B1eL1yBlFN6enpgmiZu376Nq1evOj0d6wIJBAKYmZnJ%2BJqCaZoIBoMZ44LBIKanp9P7b9%2B%2BXfXMQ1vP6dOnMTo6is%2BfP2cct3u9WLYK/X4/Dh48iN7eXgDAwMAAAoFAxu0VABw7dgzPnz9HIpEAADx48AAnT560alqUo%2Bbm5jAzM5PeHxwchM/nQ2lpacY429eLZa9uROT169dy%2BPBh2bt3r9TV1cmrV69ERKSzs1O6u7vT4548eSL79u2TPXv2yPHjx2V%2Bft7KaVEOevfunRw6dEgOHDgg4XBYWlpa5OXLlyLi7HrhV02IFLzRJ1IwECIFAyFSMBAiBQMhUjAQIgUDoax8/foVN2/eRFtbG7Zv3w6Xy4VoNLqhc46PjyMSiaCyshJFRUUIh8O4f/9%2BVv8swioMhLIyOzuLW7duYXJyEtXV1TAMY0Pne/bsGRoaGmCaJq5fv467d%2B9i9%2B7duHz5Mtrb23/QrDfAso8g6X9paWlJPn36JCIiY2NjYhiG9PT0/OfznT17VgoKCuTLly8Zx5uamqSkpGRDc/0R%2BAxCWXG73SgrK1vX2OHhYRw5cgSFhYUoLi5GJBLBxMRExpiFhQUUFBTA6/VmHK%2BoqMiJ/3jDQMgSvb29iEQiKCoqwp07d9DZ2Yl4PI7GxkaYppked/ToUczPz%2BPcuXOYnJyEaZp4%2BPAhBgcHcePGDQf/gj85/RRGm9e/3WKlUikpLS2VCxcuZBxPJpNSUlIi58%2BfTx9bXl6WS5cuSX5%2BvhiGIYZhiNvtzvhyopP%2BAIfJEX5CasBdAAAAAElFTkSuQmCC\">\n",
-       "\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-6830112477044886234,#minihistogram-6830112477044886234\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives-6830112477044886234\">\n",
-       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
-       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-6830112477044886234\"\n",
-       "                                                  aria-controls=\"quantiles-6830112477044886234\" role=\"tab\"\n",
-       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#histogram-6830112477044886234\" aria-controls=\"histogram-6830112477044886234\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#common-6830112477044886234\" aria-controls=\"common-6830112477044886234\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#extreme-6830112477044886234\" aria-controls=\"extreme-6830112477044886234\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
-       "\n",
-       "    </ul>\n",
-       "\n",
-       "    <div class=\"tab-content\">\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-6830112477044886234\">\n",
-       "            <div class=\"col-md-4 col-md-offset-1\">\n",
-       "                <p class=\"h4\">Quantile statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Minimum</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>5-th percentile</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q1</th>\n",
-       "                        <td>33278</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Median</th>\n",
-       "                        <td>132500</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q3</th>\n",
-       "                        <td>230000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>95-th percentile</th>\n",
-       "                        <td>540000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Maximum</th>\n",
-       "                        <td>253490000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Range</th>\n",
-       "                        <td>253490000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Interquartile range</th>\n",
-       "                        <td>196720</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "            <div class=\"col-md-4 col-md-offset-2\">\n",
-       "                <p class=\"h4\">Descriptive statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Standard deviation</th>\n",
-       "                        <td>1269600</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Coef of variation</th>\n",
-       "                        <td>5.9684</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Kurtosis</th>\n",
-       "                        <td>12880</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Mean</th>\n",
-       "                        <td>212720</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>MAD</th>\n",
-       "                        <td>186400</td>\n",
-       "                    </tr>\n",
-       "                    <tr class=\"alert\">\n",
-       "                        <th>Skewness</th>\n",
-       "                        <td>91.079</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Sum</th>\n",
-       "                        <td>90992000000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Variance</th>\n",
-       "                        <td>1611800000000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Memory size</th>\n",
-       "                        <td>3.3 MiB</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-6830112477044886234\">\n",
-       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtcVHX%2BP/DXDAMyDIgyeBmI3FRYQ0sU5buLpkgQiIoPNxjF1NVMDEW8fdGii37ziyuKiKuBuEu7soiugkrmqoWXvFIi8NUsNLcsLpM1UshluM75/eGD8/M0g5dtgNDX8/HwQXzO67w/H05/8H6c8%2BGMTBAEAURERERkMfLOXgARERHRo4YNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgvrsAYrPj4ecrkczz77rGR8zpw5kMvlJv88PT3N1klPT4enpyeUSiU8PDywdetWs7mqqipERkaid%2B/esLe3h7%2B/P4qKisxmz507h9GjR0OlUkGj0WDx4sWora01yQmCgPXr16N///5QKpUYOnQodu/e/ZBXgoiIiB51io6YpLy8HH/6059gb29v9ritrS3S09MhCII45ujoaJJLS0tDVFQUwsPDsXz5cpw%2BfRoxMTEwGAyIjY0Vc4IgICQkBJcvX8aKFSugVquRkpICPz8/FBYWYsCAAWK2uLgYAQEB8PT0xKZNm1BWVoYNGzbg%2BvXrOHTokGT%2BuLg4JCQkYP78%2BRgxYgRyc3Mxffp0yOVyaLXaX3qZiIiI6FEhdICpU6cKAQEBgp%2Bfn/DMM89Ijs2ePVtwcHC4bw2DwSA4OzsLoaGhkvEZM2YIDg4Owk8//SSO/fOf/xRkMpmwb98%2BceyHH34QevbsKbz00kuS88ePHy%2B4uroKNTU14thf//pXQS6XCx999JE4Vl5eLtjY2AgxMTGS88eMGSM8%2BeSTgtFovO/PQERERI%2BHdn9EeOrUKezbtw/Jycn3zBmNRlRXV7d5/MSJE6isrMSCBQsk4wsXLkRNTY3kblNOTg769u2LKVOmiGPOzs7QarXIzc1FU1MTAKC6uhp5eXmYOXMmVCqVmJ01axZUKhX27Nkjjh04cADNzc2IioqSzB8VFYWysjKcP3/%2Bnj8fERERPT7atcEyGo2IiYnBvHnzMHjw4DZzdXV16N69OxwdHaFWqxEdHW2yB6p1/5S3t7dk3NvbG3K5XLK/qqioCMOHDzeZx8fHB3V1dbh27RoA4PLly2hubjapaW1tDS8vL0nN4uJiqFQqDBo0yKSmIAht7u8iIiKix0%2B77sFKTU3Ft99%2Bi%2BPHj7eZcXFxwYoVKzB8%2BHAYjUYcOXIEKSkpuHTpEk6ePAm5/E4PqNPpYGVlBWdnZ8n51tbWUKvVqKioEMd0Oh3Gjh1rMpdGowEAVFRUYPDgwdDpdJDJZOL4z7NnzpyR1OzTp889axIREREB7dhgVVZWYtWqVXj77bfh5OTUZi4%2BPl7yvVarhbu7O958801kZ2eLm8cNBgNsbGzM1rC1tYXBYBC/NxgM6Natm9mcIAhitvVrW9kHrXl3LSIiIqJ2a7DeeOMN8XHfw1q6dCneeust5OXliQ2WUqlEY2Oj2Xx9fT2USqX4vVKpRENDg9mcTCYTs61f28o%2BaM27a5mj1%2Btx9OhR/OY3v7lnjoiIiCzHYDDgxo0bCAoKMnkC1t7apcG6fv06/vKXv2Dz5s0oLy8HcOfVCfX19WhqasI333yD7t27o2fPnmbPt7W1hVqtRmVlpTim0WjQ0tICvV4vuUhNTU24desWXFxcJFmdTmdSt3WsNavRaCAIQpvZn9c8efLkfWuac/ToUcyYMaPN40RERNR%2BMjMz8dJLL3XonO3SYJWXl0MQBMTExGDRokUmx/v374/FixcjKSnJ7Pk1NTXQ6/Xo1auXOObl5QVBEFBQUIDg4GBx/MKFCzAajfDy8pJk794/1So/Px92dnbw8PAAAAwZMgQKhQIFBQUICwsTc01NTSguLsbUqVMlNdPT01FSUiLZ6J6fnw%2BZTCaZ/%2Bd%2B85vfALjzP/jpp59uM0dtW7p0KTZt2tTZy%2BiyeP1%2BGV6/X4bX75fh9fvPffHFF5gxY4b4e7gjtUuDNWTIEOzfv99k/I033kBNTQ3%2B/Oc/o3///mhoaEBTU5PJC0jfeecdAMD48ePFMX9/fzg5OSE1NVXSYKWmpkKlUmHChAniWFhYGHJycrBv3z784Q9/AHDnMV12djZCQ0NhbW0NAOjevTsCAgKQmZmJt956S3xVQ0ZGBmprayUvD508eTKWLl2KlJQU/PnPfxbHt23bBldXV/j6%2BrZ5PVofCz799NNm/7qR7s/R0ZHX7hfg9ftleP1%2BGV6/X4bX75frjO057dJgqdVqhIaGmoxv2rQJMpkMkyZNAgB88803GDZsGCIiIsS7QkeOHMHhw4cREhIiqWFra4s1a9YgOjoaWq0WQUFBOHXqFLKysrB27Vr06NFDzIaFhSE5ORlz5szBlStX4OzsjJSUFBiNRqxevVqypvj4eIwaNQpjxoxBZGQkSktLkZSUhKCgIAQGBoo5V1dXLFmyBImJiWhsbMTIkSOxf/9%2BnD17FllZWZDJZJa8hERERNSFdchH5dzt7kakR48emDRpEvLy8pCRkYGWlhYMHDgQ69atw/Lly03OjYqKgo2NDTZu3IiDBw/Czc0NycnJJo8h5XI5Dh8%2BjNjYWGzZsgUGgwE%2BPj7IyMiAu7u7JDts2DDk5eVh5cqVWLZsGRwcHDBv3jysXbvWZP6EhAQ4OTkhLS0NO3bsgLu7O3bu3Cl5lEhERETUoQ3WiRMnJN87Ojpix44dD1Vj7ty5mDt37n1zjo6O2L59O7Zv337frK%2BvL06fPv1A869cuRIrV658oCwRERE9ntr9o3KILCEiIqKzl9Cl8fr9Mrx%2Bvwyv3y/D69c1yQRBEDp7EY%2B6wsJCeHt74%2BLFi9yoSERE1EE68/cv72ARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbW4R%2BV8zib/tIM2NnZdfYyzNJoNMjamQlHR8fOXgoREVGXxwarA9009oTC%2BOtrYFoaalF06AMUFhZi3Lhxnb0cIiKiLo8NVgfSjI6AXd%2BBnb0MEw0/VuDHL0519jKIiIgeGdyDRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyswxqs%2BPh4yOVyPPvssybHSkpKEBwcDAcHB6jVasyaNQt6vd5snfT0dHh6ekKpVMLDwwNbt241m6uqqkJkZCR69%2B4Ne3t7%2BPv7o6ioyGz23LlzGD16NFQqFTQaDRYvXoza2lqTnCAIWL9%2BPfr37w%2BlUomhQ4di9%2B7dD3EViIiI6HHQIQ1WeXk5/vSnP8He3t7sseeeew5fffUV1q1bh9jYWBw6dAgvvPACmpubJdm0tDTMmzcPzzzzDLZu3QpfX1/ExMRgw4YNkpwgCAgJCcHu3bvF4z/88AP8/Pzw73//W5ItLi5GQEAA6uvrsWnTJsybNw/bt2%2BHVqs1WWtcXBxee%2B01BAUFYevWrejXrx%2BmT5%2BOPXv2WOAqERER0aOiQz7sefny5fj973%2BP5uZm3Lp1S3IsPj4eBoMBxcXFcHV1BQCMHDkSgYGB%2BPvf/45XXnkFAFBfX48333wTkyZNwj//%2BU8AwNy5c9HS0oI1a9YgMjISjo6OAIC9e/fi/PnzyMnJwZQpUwAA4eHh8PDwwKpVq5CZmSnOHxcXBycnJ3z88cdQqVQAgH79%2BiEyMhJ5eXkICAgAAFRUVCApKQmLFi3C5s2bxfnHjh2L2NhYhIeHQyaTtdclJCIioi6k3e9gnTp1Cvv27UNycrLZ4/v27cPEiRPF5goAnn/%2BeXh4eEjuDJ04cQKVlZVYsGCB5PyFCxeipqYGhw4dEsdycnLQt29fsbkCAGdnZ2i1WuTm5qKpqQkAUF1djby8PMycOVNsrgBg1qxZUKlUkvkPHDiA5uZmREVFSeaPiopCWVkZzp8//zCXhYiIiB5h7dpgGY1GxMTEYN68eRg8eLDJ8YqKCnz//fcYMWKEyTEfHx/JnqnW//b29pbkvL29IZfLTbLDhw83W7Ourg7Xrl0DAFy%2BfBnNzc0mNa2treHl5SWpWVxcDJVKhUGDBpnUFAShzf1dRERE9Php1wYrNTUV3377LdasWWP2uE6nAwBoNBqTYxqNBpWVleLdJp1OBysrKzg7O0ty1tbWUKvVqKiokNRtqyYAMavT6SCTydrM/rxmnz597luTiIiIqN0arMrKSqxatQpvv/02nJyczGYMBgMAoFu3bibHbG1tJRmDwQAbGxuzdWxtbcVca7atmoIgSGrea/4HrXl3LSIiIqJ2a7DeeOMNqNVqREdHt5lRKpUAgIaGBpNj9fX1koxSqURjY6PZOvX19WKuNdtWTZlMJql5r/kftObdtYiIiIja5a8Ir1%2B/jr/85S/YvHkzysvLAdx5dUJ9fT2amprwzTffoHv37uLjtdZHhXfT6XRwcnKCtbU1gDuP4lpaWqDX6yWPCZuamnDr1i24uLiIYxqNps2aAMSsRqOBIAhtZn9e8%2BTJk/eteS%2BlH6XBylYlGXPy9IPTYL/7nktERERt27VrF3bt2iUZq6qq6qTVtFODVV5eDkEQEBMTg0WLFpkc79%2B/PxYvXoykpCT06tULBQUFJplPP/0UXl5e4vdeXl4QBAEFBQUIDg4Wxy9cuACj0WiSPXPmjEnN/Px82NnZwcPDAwAwZMgQKBQKFBQUICwsTMw1NTWhuLgYU6dOldRMT09HSUmJZKN7fn4%2BZDKZZP62uAXOh13fgffNERER0cOJiIhARESEZKywsNDkD9k6Srs8IhwyZAj279%2BP/fv348CBA%2BK/wYMHo1%2B/fjhw4ADmzp0LAHjxxRfxwQcfiHe6AODYsWO4du2a5GWf/v7%2BcHJyQmpqqmSu1NRUqFQqTJgwQRwLCwvDzZs3sW/fPnFMr9cjOzsboaGh4l2x7t27IyAgAJmZmZI3t2dkZKC2tlYy/%2BTJk6FQKJCSkiKZf9u2bXB1dYWvr%2B8vuWRERET0CGmXO1hqtRqhoaEm45s2bYJMJsOkSZPEsbi4OGRnZ8PPzw%2BLFy9GdXU1EhMTMXToUMyePVvM2draYs2aNYiOjoZWq0VQUBBOnTqFrKwsrF27Fj169BCzYWFhSE5Oxpw5c3DlyhU4OzsjJSUFRqMRq1evlqwpPj4eo0aNwpgxYxAZGYnS0lIkJSUhKCgIgYGBYs7V1RVLlixBYmIiGhsbMXLkSOzfvx9nz55FVlYWXzJKREREog55k/vdft6IPPHEE/j444%2BxbNkyvP7667CxscHEiRORmJgo3mlqFRUVBRsbG2zcuBEHDx6Em5sbkpOTTR5DyuVyHD58GLGxsdiyZQsMBgN8fHyQkZEBd3d3SXbYsGHIy8vDypUrsWzZMjg4OGDevHlYu3atydoTEhLg5OSEtLQ07NixA%2B7u7ti5c6fkUSIRERGRTBAEobMX8ahrfQb89MtbfpV7sBp%2BrMBnqXNx/PhxjBs3rrOXQ0REZBGtv38vXrxo9gXk7alDPuyZiIiI6HHCBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGHt1mB9/vnn0Gq1GDBgAFQqFXr16oWxY8figw8%2BkOTmzJkDuVxu8s/T09Ns3fT0dHh6ekKpVMLDwwNbt241m6uqqkJkZCR69%2B4Ne3t7%2BPv7o6ioyGz23LlzGD16NFQqFTQaDRYvXoza2lqTnCAIWL9%2BPfr37w%2BlUomhQ4di9%2B7dD3lliIiI6FGnaK/C33zzDWpqajB79my4uLigrq4OOTk5CA0Nxfbt2/HKK6%2BIWVtbW6Snp0MQBHHM0dHRpGZaWhqioqIQHh6O5cuX4/Tp04iJiYHBYEBsbKyYEwQBISEhuHz5MlasWAG1Wo2UlBT4%2BfmhsLAQAwYMELPFxcUICAiAp6cnNm3ahLKyMmzYsAHXr1/HoUOHJPPHxcUhISEB8%2BfPx4gRI5Cbm4vp06dDLpdDq9Va8vIRERFRFyYT7u5q2pkgCBg%2BfDgaGhrw%2BeefA7hzBysnJwe3b9%2B%2B57n19fVwc3ODr68vcnNzxfGZM2ciNzcXpaWlYlO2Z88eTJs2DTk5OZgyZQoAQK/Xw8PDAyEhIcjMzBTPDwkJwaVLl3D16lWoVCoAd%2B6SRUZG4ujRowgICAAAVFRU4KmnnsKrr76KzZs3i%2BePHTsWN27cwI0bNyCTycyuvbCwEN7e3nj65S2w6zvwYS9bu2v4sQKfpc7F8ePHMW7cuM5eDhERkUW0/v69ePEihg8f3qFzd%2BgeLJlMBjc3N/z0008mx4xGI6qrq9s898SJE6isrMSCBQsk4wsXLkRNTY3kblNOTg769u0rNlcA4OzsDK1Wi9zcXDQ1NQEAqqurkZeXh5kzZ4rNFQDMmjULKpUKe/bsEccOHDiA5uZmREVFSeaPiopCWVkZzp8//4BXgYiIiB517d5g1dXV4datW/jqq6%2BwadMmHD58WLwrdHeme/fucHR0hFqtRnR0tMkeqNb9U97e3pJxb29vyOVyyf6qoqIis52qj48P6urqcO3aNQDA5cuX0dzcbFLT2toaXl5ekprFxcVQqVQYNGiQSU1BENrc30VERESPn3bbg9Vq%2BfLlSEtLAwDI5XK8%2BOKL2LJli3jcxcUFK1aswPDhw2E0GnHkyBGkpKTg0qVLOHnyJOTyOz2gTqeDlZUVnJ2dJfWtra2hVqtRUVEhjul0OowdO9ZkLRqNBsCdx32DBw%2BGTqeDTCYTx3%2BePXPmjKRmnz597lmTiIiICOiABmvp0qUIDw9HRUUF9uzZg5aWFjQ0NIjH4%2BPjJXmtVgt3d3e8%2BeabyM7OFjePGwwG2NjYmJ3D1tYWBoNB/N5gMKBbt25mc4IgiNnWr21lH7Tm3bWIiIiI2v0RoYeHB/z9/TFjxgy8//77qK6uRmho6D3PWbp0KWQyGfLy8sQxpVKJxsZGs/n6%2BnoolUpJ9u4m7u6cTCYTs61f28o%2BaM27axERERG1%2Bx2snwsLC8Orr76KL7/8Eu7u7mYztra2UKvVqKysFMc0Gg1aWlqg1%2Bsljwmbmppw69YtuLi4SLI6nc6kbutYa1aj0UAQhDazP6958uTJ%2B9a8l9KP0mBlq5KMOXn6wWmw333PJSIiorbt2rULu3btkoxVVVV10mo6ocFqfZR2rx%2B6pqYGer0evXr1Ese8vLwgCAIKCgoQHBwsjl%2B4cAFGoxFeXl6S7N37p1rl5%2BfDzs4OHh4eAIAhQ4ZAoVCgoKAAYWFhYq6pqQnFxcWYOnWqpGZ6ejpKSkokG93z8/Mhk8kk87fFLXD%2Br/I1DURERF1dREQEIiIiJGOtr2noDO32iPCHH34wGWtubsaOHTugVCrh6emJhoYG1NTUmOTeeecdAMD48ePFMX9/fzg5OSE1NVWSTU1NhUqlwoQJE8SxsLAw3Lx5E/v27RPH9Ho9srOzERoaCmtrawBA9%2B7dERAQgMzMTMlfLWZkZKC2tlby8tDJkydDoVAgJSVFMv%2B2bdvg6uoKX1/fB7ouRERE9OhrtztY8%2BfPx%2B3btzFmzBi4urriu%2B%2B%2Bw86dO3H16lUkJSXBzs4O33zzDYYNG4aIiAjxrtCRI0dw%2BPBhhISESPZq2draYs2aNYiOjoZWq0VQUBBOnTqFrKwsrF27Fj169BCzYWFhSE5Oxpw5c3DlyhU4OzsjJSUFRqMRq1evlqwzPj4eo0aNwpgxYxAZGYnS0lIkJSUhKCgIgYGBYs7V1RVLlixBYmIiGhsbMXLkSOzfvx9nz55FVlZWmy8ZJSIiosdPuzVY06ZNQ3p6OrZt24Zbt27BwcEB3t7e2LBhg3i3qUePHpg0aRLy8vKQkZGBlpYWDBw4EOvWrcPy5ctNakZFRcHGxgYbN27EwYMH4ebmhuTkZCxatEiSk8vlOHz4MGJjY7FlyxYYDAb4%2BPggIyPDZN/XsGHDkJeXh5UrV2LZsmVwcHDAvHnzsHbtWpP5ExIS4OTkhLS0NOzYsQPu7u7YuXOn5FEiERERUYd%2BVM7jih%2BVQ0RE1PEem4/KISIiInocsMEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2u3Buvzzz%2BHVqvFgAEDoFKp0KtXL4wdOxYffPCBSbakpATBwcFwcHCAWq3GrFmzoNfrzdZNT0%2BHp6cnlEolPDw8sHXrVrO5qqoqREZGonfv3rC3t4e/vz%2BKiorMZs%2BdO4fRo0dDpVJBo9Fg8eLFqK2tNckJgoD169ejf//%2BUCqVGDp0KHbv3v0QV4WIiIgeB%2B3WYH3zzTeoqanB7Nmz8ec//xlvv/02ZDIZQkND8de//lXMlZeX47nnnsNXX32FdevWITY2FocOHcILL7yA5uZmSc20tDTMmzcPzzzzDLZu3QpfX1/ExMRgw4YNkpwgCAgJCcHu3bvF4z/88AP8/Pzw73//W5ItLi5GQEAA6uvrsWnTJsybNw/bt2%2BHVqs1%2BZni4uLw2muvISgoCFu3bkW/fv0wffp07Nmzx4JXjoiIiLo6mSAIQkdNJggChg8fjoaGBnz%2B%2BecAgAULFiAjIwNXr16Fq6srAODYsWMIDAzE9u3b8corrwAA6uvr4ebmBl9fX%2BTm5oo1Z86cidzcXJSWlsLR0REAsGfPHkybNg05OTmYMmUKAECv18PDwwMhISHIzMwUzw8JCcGlS5dw9epVqFQqAHfukkVGRuLo0aMICAgAAFRUVOCpp57Cq6%2B%2Bis2bN4vnjx07Fjdu3MCNGzcgk8nM/tyFhYXw9vbG0y9vgV3fgRa5lpbU8GMFPkudi%2BPHj2PcuHGdvRwiIiKLaP39e/HiRQwfPrxD5%2B7QPVgymQxubm746aefxLF9%2B/Zh4sSJYnMFAM8//zw8PDwkd4ZOnDiByspKLFiwQFJz4cKFqKmpwaFDh8SxnJwc9O3bV2yuAMDZ2RlarRa5ubloamoCAFRXVyMvLw8zZ84UmysAmDVrFlQqlWT%2BAwcOoLm5GVFRUZL5o6KiUFZWhvPnz/%2Bnl4WIiIgeMe3eYNXV1eHWrVv46quvsGnTJhw%2BfFhyV%2Bj777/HiBEjTM7z8fGR7Jlq/W9vb29JztvbG3K53CRrrlP18fFBXV0drl27BgC4fPkympubTWpaW1vDy8tLUrO4uBgqlQqDBg0yqSkIQpv7u4iIiOjx0%2B4N1vLly9GrVy8MHDgQsbGx%2BMMf/oAtW7YAAHQ6HQBAo9GYnKfRaFBZWSnebdLpdLCysoKzs7MkZ21tDbVajYqKCnFMp9O1WROAmNXpdJDJZG1mf16zT58%2B961JREREpGjvCZYuXYrw8HBUVFRgz549aGlpQUNDAwDAYDAAALp162Zynq2trZixtraGwWCAjY2N2TlsbW3FWq3ntFVTEAQxe7/5H7Tm3bWIiIiI2v0OloeHB/z9/TFjxgy8//77qK6uRmhoKABAqVQCgNhw3a2%2Bvl6SUSqVaGxsNDtHfX29mGvNtlVTJpNJat5r/geteXctIiIiona/g/VzYWFhePXVV/Hll1%2BKj9daHxXeTafTwcnJCdbW1gDuPIpraWmBXq%2BXPCZsamrCrVu34OLiIo5pNJo2awIQsxqNBoIgtJn9ec2TJ0/et%2Ba9lH6UBitblWTMydMPToP97nsuERERtW3Xrl3YtWuXZKyqqqqTVtMJDVbro7Sqqiq4u7ujV69eKCgoMMl9%2Bumn8PLyEr/38vKCIAgoKChAcHCwOH7hwgUYjUaT7JkzZ0xq5ufnw87ODh4eHgCAIUOGQKFQoKCgAGFhYWKuqakJxcXFmDp1qqRmeno6SkpKJBvd8/PzIZPJJPO3xS1w/q/yNQ1ERERdXUREBCIiIiRjra9p6Azt9ojwhx9%2BMBlrbm7Gjh07oFQq4enpCQB48cUX8cEHH6C8vFzMHTt2DNeuXZO87NPf3x9OTk5ITU2V1ExNTYVKpcKECRPEsbCwMNy8eRP79u0Tx/R6PbKzsxEaGireFevevTsCAgKQmZkpeXN7RkYGamtrJfNPnjwZCoUCKSkpkvm3bdsGV1dX%2BPr6PtT1ISIiokdXu93Bmj9/Pm7fvo0xY8bA1dUV3333HXbu3ImrV68iKSkJdnZ2AO68HT07Oxt%2Bfn5YvHgxqqurkZiYiKFDh2L27NliPVtbW6xZswbR0dHQarUICgrCqVOnkJWVhbVr16JHjx5iNiwsDMnJyZgzZw6uXLkCZ2dnpKSkwGg0YvXq1ZJ1xsfHY9SoURgzZgwiIyNRWlqKpKQkBAUFITAwUMy5urpiyZIlSExMRGNjI0aOHIn9%2B/fj7NmzyMrKavMlo0RERPT4abcGa9q0aUhPT8e2bdtw69YtODg4wNvbGxs2bJDcbXriiSfw8ccfY9myZXj99ddhY2ODiRMnIjExUbzT1CoqKgo2Njal48ZWAAAgAElEQVTYuHEjDh48CDc3NyQnJ2PRokWSnFwux%2BHDhxEbG4stW7bAYDDAx8cHGRkZcHd3l2SHDRuGvLw8rFy5EsuWLYODgwPmzZuHtWvXmvxMCQkJcHJyQlpaGnbs2AF3d3fs3LlT8iiRiIiIqEM/KudxxY/KISIi6niPzUflEBERET0O2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMPmkSZOwZ88eNDQ0dPZaiIiIiB4J8s8//xzTpk1Dnz59MHfuXJw8ebKz10RERETUpcn//e9/4%2BzZs3jppZdw8OBBPP/883jyySfx%2Buuv47PPPuvs9RERERF1OXIA%2BP3vf493330XOp0O77//PkaNGoUtW7Zg6NCh8PLyQlJSEnQ6XWevlYiIiKhLkGxyt7KywoQJE7Br1y6UlZUhLCwMly5dQmxsLJ588kkEBwfj6NGjnbVWIiIioi7B5K8I8/PzER0dDQ8PD%2BzduxdPP/004uPjsW7dOpSWliIkJAT/8z//0xlrJSIiIuoSFABw7do1ZGZmIisrC19//TWcnZ0RERGBmTNnYsSIEWJ4%2BfLlmDt3LrZs2YJVq1Z12qKJiIiIfs0UI0aMQFFREWxsbDBx4kRs2rQJ48ePh0KhMHtCQEAA/va3v3XwMomIiIi6DoWtrS1SUlIwdepU9OjR474nhIaG4ssvv%2ByApRERERF1TYozZ8481AkqlQoDBgxop%2BUQERERdX3y4uJipKWltRnYvn07Ll261IFLIiIiIura5HFxcTh8%2BHCbgaNHj%2BKNN97owCURERERdW3ygoICjBkzps3Ac889hwsXLnTgkoiIiIi6Nnl1dTVsbGzaDFhZWaGqqqoDl0RERETUtcnd3d3x0UcftRn48MMP8dRTTz104YKCAkRHR2PIkCGwt7dHv379MHXqVJO/QJwzZw7kcrnJP09PT7N109PT4enpCaVSCQ8PD2zdutVsrqqqCpGRkejduzfs7e3h7%2B%2BPoqIis9lz585h9OjRUKlU0Gg0WLx4MWpra01ygiBg/fr16N%2B/P5RKJYYOHYrdu3c/5JUhIiKiR51izpw5WL58OVasWIG33noLDg4OAIDbt29jzZo1%2BNe//oWEhISHLpyQkIBz584hPDwczz77LL777jts2bIFw4cPxyeffCJpoGxtbZGeng5BEMQxR0dHk5ppaWmIiopCeHg4li9fjtOnTyMmJgYGgwGxsbFiThAEhISE4PLly1ixYgXUajVSUlLg5%2BeHwsJCyV9BFhcXIyAgAJ6enti0aRPKysqwYcMGXL9%2BHYcOHZLMHxcXh4SEBMyfPx8jRoxAbm4upk%2BfDrlcDq1W%2B9DXiIiIiB5NMqPRKMyaNQs7d%2B6EQqHAE088AQAoKytDc3MzIiIikJmZCZlM9lCF8/PzMWLECMkLS69fv45nnnkG4eHhyMjIAHDnDlZOTg5u3759z3r19fVwc3ODr68vcnNzxfGZM2ciNzcXpaWlYlO2Z88eTJs2DTk5OZgyZQoAQK/Xw8PDAyEhIcjMzBTPDwkJwaVLl3D16lWoVCoAd%2B6SRUZG4ujRowgICAAAVFRU4KmnnsKrr76KzZs3i%2BePHTsWN27cwI0bN9q8RoWFhfD29sbTL2%2BBXd%2BBD3wNO0rDjxX4LHUujh8/jnHjxnX2coiIiCyi9ffvxYsXMXz48A6dWy6TyfCPf/wDR48excsvv4yBAwdi4MCBmDt3Lj788EPs3LnzoZsrAPjd735n8jb4gQMHYvDgwfjiiy9M8kajEdXV1W3WO3HiBCorK7FgwQLJ%2BMKFC1FTUyO525STk4O%2BffuKzRUAODs7Q6vVIjc3F01NTQCA6upq5OXlYebMmWJzBQCzZs2CSqXCnj17xLEDBw6gubkZUVFRkvmjoqJQVlaG8%2BfP3%2BtyEBER0WNE/LDnwMBAbNu2DR9%2B%2BCE%2B/PBDpKamindvLOnmzZtwdnaWjNXV1aF79%2B5wdHSEWq1GdHS0yR6o1v1T3t7eknFvb2/I5XLJ/qqioiKznaqPjw/q6upw7do1AMDly5fR3NxsUtPa2hpeXl6SmsXFxVCpVBg0aJBJTUEQ2tzfRURERI8f%2Bf0jlpOZmYny8nJMmzZNHHNxccGKFSvw97//Hbt378bkyZORkpKC8ePHw2g0ijmdTgcrKyuT5sza2hpqtRoVFRWSrEajMZm/daw1q9PpIJPJ2sz%2BvGafPn3uW5OIiIhIAdzZc5Seno6vvvoKP/74o2SzOQDIZDI0NDT8oolKSkoQHR2NUaNGYdasWeJ4fHy8JKfVauHu7o4333wT2dnZ4uZxg8HQ5uskbG1tYTAYxO8NBgO6detmNicIgpht/dpW9kFr3l2LiIiISPHaa69hw4YNeOaZZxAWFoaePXtafJKbN29iwoQJ6NmzJ/bu3XvfPV1Lly7FW2%2B9hby8PLHBUiqVaGxsNJuvr6%2BHUqkUv1cqlWYbwvr6eshkMjHb%2BrWt7IPWvLsWERERkeK9997DlClTkJ2d3S4T3L59G8HBwbh9%2BzbOnDmDvn373vccW1tbqNVqVFZWimMajQYtLS3Q6/WSx4RNTU24desWXFxcJFmdTmdSt3WsNavRaCAIQpvZn9c8efLkfWveS%2BlHabCyVUnGnDz94DTY777nEhERUdt27dqFXbt2ScY680XpCoPBgBdeeKFdijc0NGDixIm4fv06jh07ht/%2B9rcPdF5NTQ30ej169eoljnl5eUEQBBQUFCA4OFgcv3DhAoxGI7y8vCTZM2fOmNTNz8%2BHnZ0dPDw8AABDhgyBQqFAQUEBwsLCxFxTUxOKi4sxdepUSc309HSUlJRINrrn5%2BdDJpNJ5m%2BLW%2BD8X%2BVrGoiIiLq6iIgIRERESMZaX9PQGeTjxo3DxYsXLV7YaDRCq9Xik08%2BQXZ2Nnx8fEwyDQ0NqKmpMRl/5513AADjx48Xx/z9/eHk5ITU1FRJNjU1FSqVChMmTBDHwsLCcPPmTezbt08c0%2Bv1yM7ORmhoKKytrQEA3bt3R0BAADIzMyV/tZiRkYHa2lrJy0MnT54MhUKBlJQUyfzbtm2Dq6srfH19H%2Bi6EBER0aNPkZKSghdeeAHr169HZGQkevToYZHCy5Ytw8GDBxEaGgq9Xo%2BdO3dKjr/00kv47rvvMGzYMERERIh3hY4cOYLDhw8jJCQEoaGhYt7W1hZr1qxBdHQ0tFotgoKCcOrUKWRlZWHt2rWSdYeFhSE5ORlz5szBlStX4OzsjJSUFBiNRqxevVqyjvj4eIwaNQpjxoxBZGQkSktLkZSUhKCgIAQGBoo5V1dXLFmyBImJiWhsbMTIkSOxf/9%2BnD17FllZWf/Ru8KIiIjo0STr0aOH0NzcjLq6OgCAvb09rKyspCGZDLdu3XqowuPGjcOpU6faPN7S0oKqqirExMQgPz8fFRUVaGlpwcCBAzFjxgwsX77cZB3Anb943LhxI77%2B%2Bmu4ublh0aJFWLRokUmuqqoKsbGxOHDgAAwGA3x8fJCYmIhhw4aZZM%2BdO4eVK1eisLAQDg4OmDp1KtauXSt5%2BWirhIQEpKWlQafTwd3dHXFxcZLXTpjDN7kTERF1vM58k7vspZdeEh7k7ss//vGPDljOo4kNFhERUcfrzAZLcffn8hERERHRL9ehb3InIiIiehzIAaCsrAzR0dEYPHgwevXqhdOnTwO485d3y5YtQ3FxcacukoiIiKgrUZSUlOC5555DU1MTRo4ciZKSEjQ1NQEAnJ2dceLECdy%2BfRt//etfO3mpRERERF2DYsWKFbC3t0d%2Bfj6srKzQu3dvSWDChAnYu3dvJy2PiIiIqOuRf/zxx1iwYAH69Olj9l1O/fr1Q3l5eScsjYiIiKhrkre0tJh931MrvV4vvvmciIiIiO5PPmzYMBw5csTswZaWFuzevRv/9V//1cHLIiIiIuq65K%2B99hoOHTqERYsWoaSkBMCdu1YnT55EcHAwPv/8c7z22mudvEwiIiKirkMxYcIEpKenY8mSJeIHGbd%2BGrW9vT3ee%2B89%2BPn5deISiYiIiLoWBQDMnj0bL774Io4cOYLr16/DaDRiwIABGD9%2BPBwdHTt7jURERERdiqL1PxwcHBAeHt6ZayEiIiJ6JCgqKioeKOji4tLOSyEiIiJ6NCieeOIJs%2B%2B/%2BrmWlpYOWA4RERFR16fYvn27SYPV0tKCGzdu4B//%2BAc0Gg3mz5/fScsjIiIi6noUr7zySpsH4%2BLi4OPjg/r6%2Bg5cEhEREVHXJr/XQXt7e7z88svYuHFjR62HiIiIqMu7Z4PVSqfTtfc6iIiIiB4ZirYO1NXV4dSpU0hMTISXl1dHromIiIioS1NYW1ub/SvClpYWCIIAV1dXvPvuu52wNCIiIqKuSbFy5UqTBksmk6Fnz57i29ytra07aXlEREREXY/if//3fzt7DURERESPlAfa5P6fKCgoQHR0NIYMGQJ7e3v069cPU6dOxZdffmmSLSkpQXBwMBwcHKBWqzFr1izo9XqzddPT0%2BHp6QmlUgkPDw9s3brVbK6qqgqRkZHo3bs37O3t4e/vj6KiIrPZc%2BfOYfTo0VCpVNBoNFi8eDFqa2tNcoIgYP369ejfvz%2BUSiWGDh2K3bt3P8RVISIioseBIjIy8qFPkslkSEtLu2cmISEB586dQ3h4OJ599ll899132LJlC4YPH45PPvkEnp6eAIDy8nI899xz6NmzJ9atW4fq6mps2LABn332GT799FMoFP9/H35aWhqioqIQHh6O5cuX4/Tp04iJiYHBYEBsbKyYEwQBISEhuHz5MlasWAG1Wo2UlBT4%2BfmhsLAQAwYMELPFxcUICAiAp6cnNm3ahLKyMmzYsAHXr1/HoUOHJD9TXFwcEhISMH/%2BfIwYMQK5ubmYPn065HI5tFrtQ19HIiIiejTJnnjiCcFgMKCyshLAnQ99BoDq6moAgJOTE5RKpfQkmQzffvvtPQvn5%2BdjxIgRkgbp%2BvXreOaZZxAeHo6MjAwAwIIFC5CRkYGrV6/C1dUVAHDs2DEEBgZi%2B/btaH0Ran19Pdzc3ODr64vc3Fyx5syZM5Gbm4vS0lI4OjoCAPbs2YNp06YhJycHU6ZMAQDo9Xp4eHggJCQEmZmZ4vkhISG4dOkSrl69CpVKBeDOXbLIyEgcPXoUAQEBAICKigo89dRTePXVV7F582bx/LFjx%2BLGjRu4ceNGmx85VFhYCG9vbzz98hbY9R14z%2BvWGRp%2BrMBnqXNx/PhxjBs3rrOXQ0REZBGtv38vXryI4cOHd%2Bjc8o8%2B%2Bgh2dnZYsWIFKioqUFVVhaqqKlRUVCA2NhYqlQp5eXkoLS0V/92vuQKA3/3ud5LmCgAGDhyIwYMH44svvhDH9u3bh4kTJ4rNFQA8//zz8PDwwJ49e8SxEydOoLKyEgsWLJDUXLhwIWpqaiR3m3JyctC3b1%2BxuQIAZ2dnaLVa5ObmoqmpCcCdJjIvLw8zZ84UmysAmDVrFlQqlWT%2BAwcOoLm5GVFRUZL5o6KiUFZWhvPnz9/3mhAREdHjQR4dHY3AwECsW7cOffv2FQ/07dsXCQkJCAgIQHR0tMUmvHnzJpydnQHcuSv0/fffY8SIESY5Hx8fyZ6p1v/29vaW5Ly9vSGXy02y5jpVHx8f1NXV4dq1awCAy5cvo7m52aSmtbU1vLy8JDWLi4uhUqkwaNAgk5qCILS5v4uIiIgeP/LWR3ltGTFihMXuzmRmZqK8vBzTpk0D8P/fEK/RaEyyGo0GlZWV4t0mnU4HKysrsTlrZW1tDbVajYqKCnFMp9O1WROAmNXpdJDJZG1mf16zT58%2B961JREREJO/RoweOHj3aZuDw4cPi3qZfoqSkBNHR0Rg1ahRmzZoFADAYDACAbt26meRtbW0lGYPBABsbG7O1bW1txVxrtq2agiBIat5r/geteXctIiIiInlkZCTef/99vPjiizh58iTKyspQVlaGEydO4A9/%2BAMOHTqE%2BfPn/6JJbt68iQkTJqBnz57Yu3evuBm8dfN8Q0ODyTn19fWSjFKpRGNjo9n69fX1ko34SqWyzZoymUxS817zP2jNu2sRERERKd566y0YDAZs3LgRBw4ckBy0srLCf//3f%2BPtt9/%2Bjye4ffs2goODcfv2bZw5c0ayz6v18Zq5D5PW6XRwcnIS3yKv0WjQ0tICvV4veUzY1NSEW7duwcXFRVK3rZoAxKxGo4EgCG1mf17z5MmT9615L6UfpcHKViUZc/L0g9Ngv/ueS0RERG3btWsXdu3aJRmrqqrqpNUACplMhj/96U9YunQpjh49Kv6FYL9%2B/RAYGGh239GDamhowMSJE3H9%2BnUcO3YMv/3tbyXHXVxc0KtXLxQUFJic%2B%2Bmnn0o%2BZNrLywuCIKCgoADBwcHi%2BIULF2A0Gk2yZ86cMamZn58POzs7eHh4AACGDBkChUKBgoIChIWFibmmpiYUFxdj6tSpkprp6ekoKSmRbHTPz8%2BHTCZ7oA/Edguc/6t8TQMREVFXFxERgYiICMlY62saOoP4JvfevXtj5syZeOONN/DGG29gxowZv6i5MhqN0Gq1%2BOSTT5CdnQ0fHx%2BzuRdffBEffPABysvLxbFjx47h2rVrkpd3%2Bvv7w8nJCampqZLzU1NToVKpMGHCBHEsLCwMN2/exL59%2B8QxvV6P7OxshIaGinfFunfvjoCAAGRmZkre3J6RkYHa2lrJ/JMnT4ZCoUBKSopk/m3btsHV1RW%2Bvr4Pc3mIiIjoEaYA7jRD%2B/btw4kTJ/D9999j1apVGDJkCG7fvo2TJ0/id7/7HXr37v1QhZctW4aDBw8iNDQUer0eO3fulBx/6aWXANx5O3p2djb8/PywePFiVFdXIzExEUOHDsXs2bPFvK2tLdasWYPo6GhotVoEBQXh1KlTyMrKwtq1a9GjRw8xGxYWhuTkZMyZMwdXrlyBs7MzUlJSYDQasXr1ask64uPjMWrUKIwZMwaRkZEoLS1FUlISgoKCEBgYKOZcXV2xZMkSJCYmorGxESNHjsT%2B/ftx9uxZZGVltfmSUSIiInr8KG7fvo3x48fj/PnzUCqVqK%2BvF1%2BmaWdnh6ioKMyePRvx8fEPVfj//u//IJPJcPDgQRw8eNDkeGuD9cQTT%2BDjjz/GsmXL8Prrr8PGxgYTJ05EYmKieKepVVRUFGxsbLBx40YcPHgQbm5uSE5OxqJFiyQ5uVyOw4cPIzY2Flu2bIHBYICPjw8yMjLg7u4uyQ4bNgx5eXlYuXIlli1bBgcHB8ybNw9r1641WXNCQgKcnJyQlpaGHTt2wN3dHTt37pQ8SiQiIiKSRUVFCRkZGdi7dy9GjBiBPn36IC8vD/7%2B/gCAxYsX49SpU3yR5i/Aj8ohIiLqeJ36UTn79%2B/HokWLMH78eMjlcpOAh4cHbty40aGLIiIiIurK5D/%2B%2BCP69%2B/fZqC5uVl8mzoRERER3Z98wIAB93z8l5eXh6effroDl0RERETUtcnnzp2L9957Dzk5OeKgTCZDU1MTVq1ahX/961%2BIjIzsxCUSERERdS2KpUuX4vLlywgPD4darQYAzJw5E3q9Ho2NjZg7dy7mzZvXycskIiIi6joUMpkMf/vb3/DHP/4R2dnZ%2BPLLL2E0GjFgwABotVrxrwmJiIiI6MEo/vWvf%2BHJJ5%2BEn58f/Pz8Ons9RERERF2efMqUKTh9%2BnRnr4OIiIjokSEfOHAgKisrO3sdRERERI8M%2BWuvvYZ3330X169f7%2By1EBERET0SFEVFRejZsyc8PT3x/PPP4ze/%2BQ2USqUkJJPJsHHjxk5aIhEREVHXokhOTha/OXr0qNkQGywiIiKiB6fgx%2BAQERERWZbCysqqs9dARERE9EiRA8CtW7dgZWWF48ePd/Z6iIiIiLo8eet/CILQmesgIiIiemTI7x8hIiIioofBBouIiIjIwhSFhYWoqqoCAHz55Zfo0aOH2eDw4cM7cl1EREREXZZi5MiR4jcLFiwwCQiCAJlMhpaWlo5cFxEREVGXpXjvvfc6ew1EREREjxT5H//4RzzIv/9EbW0tVq1ahfHjx0OtVkMulyMjI8MkN2fOHMjlcpN/np6eZuump6fD09MTSqUSHh4e2Lp1q9lcVVUVIiMj0bt3b9jb28Pf3x9FRUVms%2BfOncPo0aOhUqmg0WiwePFi1NbWmuQEQcD69evRv39/KJVKDB06FLt3736Iq0JERESPOkV7Ftfr9VizZg369esHLy8vnDx5ss2sra0t0tPTJa%2BLcHR0NMmlpaUhKioK4eHhWL58OU6fPo2YmBgYDAbExsaKOUEQEBISgsuXL2PFihVQq9VISUmBn58fCgsLMWDAADFbXFyMgIAAeHp6YtOmTSgrK8OGDRtw/fp1HDp0SDJ/XFwcEhISMH/%2BfIwYMQK5ubmYPn065HI5tFrtL7haRERE9Kho1wbLxcUF3333HXr37o2LFy/i7v1eJgtRKBAREXHPevX19XjzzTcxadIk/POf/wQAzJ07Fy0tLVizZg0iIyPFpmzv3r04f/48cnJyMGXKFABAeHg4PDw8sGrVKmRmZop14%2BLi4OTkhI8//hgqlQoA0K9fP0RGRiIvLw8BAQEAgIqKCiQlJWHRokXYvHmzOP/YsWMRGxuL8PBwyGSy//BqERER0aOiXV/TYG1tjd69ez9w3mg0orq6us3jJ06cQGVlpclm/IULF6KmpkZytyknJwd9%2B/YVmysAcHZ2hlarRW5uLlo/g7G6uhp5eXmYOXOm2FwBwKxZs6BSqbBnzx5x7MCBA2hubkZUVJRk/qioKJSVleH8%2BfMP/LMSERHRo%2BtX8x6suro6dO/eHY6OjlCr1YiOjjbZA9W6f8rb21sy7u3tDblcLtlfVVRUZPbVEj4%2BPqirq8O1a9cAAJcvX0Zzc7NJTWtra3h5eUlqFhcXQ6VSYdCgQSY1BUFoc38XERERPV5%2BFQ2Wi4sLVqxYgb///e/YvXs3Jk%2BejJSUFIwfPx5Go1HM6XQ6WFlZwdnZWXK%2BtbU11Go1KioqJFmNRmMyV%2BtYa1an00Emk7WZ/XnNPn363LcmERERPd7adQ/Wg4qPj5d8r9Vq4e7ujjfffBPZ2dni5nGDwQAbGxuzNWxtbWEwGMTvDQYDunXrZjYnCIKYbf3aVvZBa95di4iIiB5vv4o7WOYsXboUMpkMeXl54phSqURjY6PZfH19PZRKpSTb0NBgNieTycRs69e2sg9a8%2B5aRERE9Hj7VdzBMsfW1hZqtRqVlZXimEajQUtLC/R6veQxYVNTE27dugUXFxdJVqfTmdRtHWvNajQaCILQZvbnNc29auLnNdtS%2BlEarGxVkjEnTz84Dfa753lERER0b7t27cKuXbskY60fBdgZfrUNVk1NDfR6PXr16iWOeXl5QRAEFBQUIDg4WBy/cOECjEYjvLy8JNkzZ86Y1M3Pz4ednR08PDwAAEOGDIFCoUBBQQHCwsLEXFNTE4qLizF16lRJzfT0dJSUlEg2uufn50Mmk0nmN8ctcD7s%2Bg58iKtAREREDyIiIsLkdU%2BFhYUmf8TWUTr9EWFDQwNqampMxt955x0AwPjx48Uxf39/ODk5ITU1VZJNTU2FSqXChAkTxLGwsDDcvHkT%2B/btE8f0ej2ys7MRGhoKa2trAED37t0REBCAzMxMyV8tZmRkoLa2VvLy0MmTJ0OhUCAlJUUy/7Zt2%2BDq6gpfX9//5BIQERHRI6bd72C9%2B%2B67%2BOmnn1BeXg4AeP/991FaWgoAiImJQWVlJYYNG4aIiAjxrtCRI0dw%2BPBhhISEIDQ0VKxla2uLNWvWIDo6GlqtFkFBQTh16hSysrKwdu1a9OjRQ8yGhYUhOTkZc%2BbMwZUrV%2BDs7IyUlBQYjUasXr1assb4%2BHiMGjUKY8aMQWRkJEpLS5GUlISgoCAEBgaKOVdXVyxZsgSJiYlobGzEyJEjsX//fpw9exZZWVl8ySgREREBAGTC3Z9N0w6eeuopfPvtt2aPff3113B0dERMTAzy8/NRUVGBlpYWDBw4EDNmzMDy5cthZWVlcl56ejo2btyIr7/%2BGm5ubli0aBEWLVpkkquqqkJsbCwOHDgAg8EAHx8fJCYmYtiwYSbZc%2BfOYeXKlSgsLISDgwOmTp2KtWvXSl4%2B2iohIQFpaWnQ6XRwd3dHXFwcpk2b1uY1aL1F%2BfTLW36VjwgbfqzAZ6lzcfz4cYwbN66zl0NERGQRrb9/L168aPbdmO2p3RssYoNFRETUGTqzwer0PVhEREREjxo2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRh7dpg1dbWYtWqVRg/fjzUajXkcjkyMjLMZktKShAcHAwHBweo1WrMmjULer3ebDY9PR2enp5QKpXw8PDA1q1bzeaqqqoQGRmJ3r17w97eHv7%2B/igqKjKbPXfuHEaPHg2VSgXN/2vvzoOiOrM2gD/dbM2qsoWGITiiPRPjaLuhEUOQoLgQLJVFJ6PRUfjKiGJ01EglMVUMjokETTSgTllBghIVGTUap0rcMkYQAbGMkaAxbtCiuCBgs9/vD4sbO00j0g3d2s%2Bvqqvkved979tnTpIz914vcjni4uJQW1urFScIAj799FP06dMHtra2GDRoEL755psOZoSIiIjMQZc2WJWVlUhISEBJSQmUSiUkEkmbcWVlZXj99ddx5coVrFmzBsuWLcPBgwcxbtw4NDU1acRu3rwZ0dHR%2BMtf/oKNGzdi1KhRWLRoEdauXasRJwgCJk6ciG%2B%2B%2BUY8fufOHQQGBuKXX37RiC0uLkZwcKrLsHYAABnNSURBVDDq6uqwbt06REdHY8uWLYiMjNTaa3x8PN5//32EhIRg48aN8PHxwV//%2Blfs2rVLz2wRERHRi8KyKxf39PTErVu34O7ujsLCQgwfPrzNuMTERKjVahQXF8PLywsAMHz4cIwdOxZpaWmYN28eAKCurg4ffPAB3nrrLezcuRMAMHfuXDQ3NyMhIQExMTHo0aMHAGD37t3Izc3Fnj17MGXKFABAREQEFAoFVq1ahYyMDPH88fHxcHZ2xokTJ2Bvbw8A8PHxQUxMDHJychAcHAwAKC8vR3JyMhYuXIjPP/9cPP8bb7yBZcuWISIiQmcTSUREROajS69gWVlZwd3d/alx2dnZCA0NFZsrAHjzzTehUCg0rgwdO3YM9%2B7dw7vvvqsxf8GCBaipqcHBgwfFsT179sDDw0NsrgDA1dUVkZGR2LdvHxobGwEA1dXVyMnJwcyZM8XmCgBmzZoFe3t7jfPv3bsXTU1NmD9/vsb558%2Bfj5s3byI3N/ep35WIiIhefEZ/yL28vBy3b9/GsGHDtI75%2BflpPDPV%2BuehQ4dqxA0dOhRSqVQrdsiQIW2u%2BejRI5SWlgIAzp8/j6amJq01raysoFQqNdYsLi6Gvb09/vznP2utKQiCzue7iIiIyLwYvcFSqVQAALlcrnVMLpfj3r174tUmlUoFCwsLuLq6asRZWVnBxcUF5eXlGuvqWhOAGKtSqSCRSHTG/n7Nl1566alrEhERkXkzeoOlVqsBADY2NlrHZDKZRoxarYa1tXWb68hkMjGuNVbXmoIgaKzZ3vk7uuaTaxEREZF5M3qDZWtrCwCor6/XOlZXV6cRY2tri4aGhjbXqaurE%2BNaY3WtKZFINNZs7/wdXfPJtYiIiMi8denfIuyI1ttrrbcKn6RSqeDs7AwrKysxtrm5GZWVlRq3CRsbG3H37l14enpqrKtrTQBirFwuhyAIOmN/v%2Bbx48efuqYuNw5vhoXMXmPMuX8gnF8NbHceERERtS8zMxOZmZkaY1VVVUbajQk0WJ6ennBzc0NBQYHWsfz8fCiVSvFnpVIJQRBQUFCA8ePHi%2BNnzpxBS0uLVuzJkye11szLy4OdnR0UCgUAYMCAAbC0tERBQQHCw8PFuMbGRhQXFyMqKkpjza1bt6KkpETjQfe8vDxIJBKN87fFe%2Bz/wc6jb7sxRERE9OxmzJiBGTNmaIwVFRVp/SW27mL0W4QAMG3aNBw4cABlZWXi2JEjR1BaWqrxss%2BgoCA4OzsjNTVVY35qairs7e0xadIkcSw8PBwVFRXIzs4WxyorK5GVlYWwsDDxqpiTkxOCg4ORkZGh8eb29PR01NbWapx/8uTJsLS0REpKisb5N23aBC8vL4waNUrPTBAREdGLoMuvYH355Zd48OCB2Dzt378fN27cAAAsWrQIjo6OiI%2BPR1ZWFgIDAxEXF4fq6mokJSVh0KBBmD17triWTCZDQkICYmNjERkZiZCQEHz//ffYsWMHVq9ejZ49e4qx4eHhWL9%2BPebMmYMLFy7A1dUVKSkpaGlpwccff6yxx8TERPj7%2ByMgIAAxMTG4ceMGkpOTERISgrFjx4pxXl5eWLx4MZKSktDQ0IDhw4fjP//5D3744Qfs2LGDLxklIiIiAIBEEAShK0/wxz/%2BEdevX2/z2K%2B//oqXX34ZAHDx4kUsWbIEJ0%2BehLW1NUJDQ5GUlAQ3NzeteVu3bsVnn32GX3/9Fd7e3li4cCEWLlyoFVdVVYVly5Zh7969UKvV8PPzQ1JSEgYPHqwVe%2BrUKaxYsQJFRUVwdHREVFQUVq9erfHy0VaffPIJNm/eDJVKhX79%2BiE%2BPh7Tp0/XmYPWS5Sv/H2DSd4irL9fjh9T5%2BLo0aMYM2aMsbdDRERkEK3//S0sLGzz3ZhdqcsbLGKDRUREZAzGbLBM4hksIiIiohcJGywiIiIiA2ODRURERGRgbLCIiIiIDIwNFhEREZGBscEiIiIiMjA2WEREREQGxgaLiIiIyMDYYBEREREZGBssIiIiIgNjg0VERERkYGywiIiIiAyMDRYRERGRgbHBIiIiIjIwNlhEREREBsYGi4iIiMjA2GARERERGRgbLCIiIiIDY4NFREREZGBssIiIiIgMjA0WERERkYGZRIN14sQJSKVSrY%2BFhQXy8/M1YktKSjB%2B/Hg4OjrCxcUFs2bNQmVlZZvrbt26Ff3794etrS0UCgU2btzYZlxVVRViYmLg7u4OBwcHBAUF4ezZs23Gnjp1CqNHj4a9vT3kcjni4uJQW1urXwKIiIjohWJp7A08afHixRg2bJjGWN%2B%2BfcU/l5WV4fXXX0evXr2wZs0aVFdXY%2B3atfjxxx%2BRn58PS8vfvs7mzZsxf/58REREYOnSpfjf//6HRYsWQa1WY9myZWKcIAiYOHEizp8/j%2BXLl8PFxQUpKSkIDAxEUVERfH19xdji4mIEBwejf//%2BWLduHW7evIm1a9fi8uXLOHjwYBdmhoiIiJ4nJtVgjR49GlOnTtV5PDExEWq1GsXFxfDy8gIADB8%2BHGPHjkVaWhrmzZsHAKirq8MHH3yAt956Czt37gQAzJ07F83NzUhISEBMTAx69OgBANi9ezdyc3OxZ88eTJkyBQAQEREBhUKBVatWISMjQzx/fHw8nJ2dceLECdjb2wMAfHx8EBMTg5ycHAQHBxs%2BKURERPTcMYlbhE%2BqqalBc3Nzm8eys7MRGhoqNlcA8Oabb0KhUGDXrl3i2LFjx3Dv3j28%2B%2B67GvMXLFiAmpoajatNe/bsgYeHh9hcAYCrqysiIyOxb98%2BNDY2AgCqq6uRk5ODmTNnis0VAMyaNQv29vYa5yciIiLzZlIN1pw5c%2BDk5ASZTIagoCAUFhaKx8rLy3H79m2tW4gA4Ofnp/HMVOufhw4dqhE3dOhQSKVSrdghQ4a0ueajR49QWloKADh//jyampq01rSysoJSqdT5zBYRERGZH5NosKytrREeHo7PP/8c%2B/fvR2JiIn788UcEBATg3LlzAACVSgUAkMvlWvPlcjnu3bsnXm1SqVSwsLCAq6urRpyVlRVcXFxQXl4ujqlUKp1rAhBjVSoVJBKJztgn1yQiIiLzZhLPYL322mt47bXXxJ9DQ0Mxbdo0DBw4ECtXrsR3330HtVoNALCxsdGaL5PJAABqtRpWVlZQq9WwtrZu81wymUxcq3WOrjUFQRBjn3b%2BJ9ckIiIi82YSV7Da4uvri8mTJ%2BPYsWMQBAG2trYAgPr6eq3Yuro6ABBjbG1t0dDQ0Oa6dXV1YlxrrK41JRKJxprtnf/JNYmIiMi8mcQVLF28vb3R0NCA2tpa8dZc663CJ6lUKjg7O8PKygrA41t2zc3NqKys1LhN2NjYiLt378LT01Mck8vlOtcEIMbK5XIIgqAz9sk1dblxeDMsZPYaY879A%2BH8auBT5xIREZFumZmZyMzM1Birqqoy0m5MvMH65ZdfIJPJ4ODgAAcHB7i5uaGgoEArLj8/H0qlUvxZqVRCEAQUFBRg/Pjx4viZM2fQ0tKiFXvy5EmtNfPy8mBnZweFQgEAGDBgACwtLVFQUIDw8HAxrrGxEcXFxYiKinrq9/Ee%2B3%2Bw8%2Bj71DgiIiJ6NjNmzMCMGTM0xoqKirT%2Bclp3MYlbhG29if3cuXP49ttvERISIo5NmzYNBw4cQFlZmTh25MgRlJaWIjIyUhwLCgqCs7MzUlNTNdZMTU2Fvb09Jk2aJI6Fh4ejoqIC2dnZGvvJyspCWFiYeFXMyckJwcHByMjI0Hhze3p6OmprazXOT0RERObNJK5gRUVFwdbWFqNGjYK7uzsuXLiAf//733BwcMC//vUvMS4%2BPh5ZWVkIDAxEXFwcqqurkZSUhEGDBmH27NlinEwmQ0JCAmJjYxEZGYmQkBB8//332LFjB1avXo2ePXuKseHh4Vi/fj3mzJmDCxcuwNXVFSkpKWhpacHHH3%2Bssc/ExET4%2B/sjICAAMTExuHHjBpKTkxESEoKxY8d2dZqIiIjoOWESDdaUKVOwfft2rFu3Dg8fPoSbmxvCw8Px0UcfoU%2BfPmLcH/7wB5w4cQJLlizBypUrYW1tjdDQUCQlJYlXmlrNnz8f1tbW%2BOyzz/Dtt9/C29sb69evx8KFCzXipFIpDh06hGXLlmHDhg1Qq9Xw8/NDeno6%2BvXrpxE7ePBg5OTkYMWKFViyZAkcHR0RHR2N1atXd11yiIiI6LkjEQRBMPYmXnSt94Bf%2BfsGk3wGq/5%2BOX5MnYujR49izJgxxt4OERGRQbT%2B97ewsLDNl4p3JZN4BouIiIjoRcIGi4iIiMjA2GARERERGRgbLCIiIiIDY4NFREREZGBssIiIiIgMjA0WERERkYGxwSIiIiIyMDZYRERERAbGBouIiIjIwNhgERERERkYGywiIiIiA2ODRURERGRgbLCIiIiIDIwNFhEREZGBscEiIiIiMjA2WEREREQGxgaLiIiIyMDYYBEREREZGBssIiIiIgNjg0VERERkYGywiIiIiAyMDdYzamhowIoVK%2BDl5QU7OzuMHDkSOTk5xt4WERERmRA2WM/onXfewfr16zFz5kx88cUXsLS0xMSJE3Hq1Cljb42IiIhMBBusZ5Cfn4%2BdO3dizZo1WLNmDebNm4cjR47Ax8cHy5cvN/b2XmiZmZnG3sJzjfnTD/OnH%2BZPP8zf84kN1jPIysqCpaUloqOjxTEbGxvMnTsXubm5KCsrM%2BLuXmz8F4x%2BmD/9MH/6Yf70w/w9n9hgPYPi4mIoFAo4ODhojPv5%2BYnHiYiIiNhgPQOVSgW5XK41LpfLIQgCysvLjbArIiIiMjVssJ6BWq2GjY2N1rhMJhOPExEREVkaewPPE1tbW9TX12uN19XVicfb0tp4XT24HhbWbccYU0vj4%2B905swZk70Kd/PmTWRmZqKlpcXYW2mXVCo1yT3evHkT27dvN9n9PckU99iaP8A09/d7prbHJ/MHmN7%2B2mJKe/x9/lq5urrCzc3NCDt6fly8eBGAkS6ACNRhY8eOFV599VWt8SNHjggSiUQ4cOBAm/MyMjIEAPzwww8//PDDjxE%2BGRkZXd0iaOEVrGegVCpx/Phx1NTUaDzonpeXB4lEAqVS2ea8kJAQZGRkoHfv3jqvchEREZFhqdVqXL16FSEhId1%2BbokgCEK3n/U5lZ%2Bfj5EjRyIpKQlLliwB8PjN7gMGDICbmxt%2B%2BOEHI%2B%2BQiIiITAGvYD0DPz8/REREYOXKlaioqEDfvn2RlpaGa9eu4auvvjL29oiIiMhE8ArWM2poaMCHH36IjIwM3L9/HwMHDsQ///lPBAcHG3trREREZCLYYBEREREZGN%2BDRURERGRgbLD00NDQgBUrVsDLywt2dnYYOXIkcnJyOjS3qqoKMTExcHd3h4ODA4KCgnD27Nku3rFp6Wz%2Btm3bBqlUqvWxsLDA7du3u2HnpqG2tharVq3ChAkT4OLiAqlUivT09A7PN/ca1Cd/5l6DBQUFiI2NxYABA%2BDg4AAfHx9ERUXh0qVLHZpv7rWnT/7MvfYA4KeffkJkZCR8fX1hb28PNzc3vPHGGzhw4ECH5ndX/fEhdz288847yM7OxnvvvSc%2B8D5x4kQcP34co0aN0jlPEARMnDgR58%2Bfx/Lly%2BHi4oKUlBQEBgaiqKgIvr6%2B3fgtjKez%2BQMAiUSChIQE9O7dW2O8Z8%2BeXbhj01JZWYmEhAT4%2BPiIrxDpKNagfvkDzLsGP/nkE5w6dQoREREYOHAgbt26hQ0bNmDIkCE4ffo0%2Bvfvr3Mua0%2B//AHmXXsAcO3aNdTU1GD27Nnw9PTEo0ePsGfPHoSFhWHLli2YN2%2BezrndWn/d/uatF8Tp06cFiUQiJCcni2N1dXVC3759BX9//3bn7ty5U5BIJEJ2drY4dufOHaFXr17C22%2B/3WV7NiX65C8tLU2QSqVCYWFhV2/TpDU0NAgVFRWCIAhCQUGBIJFIhG3btnVoLmtQv/yZew3m5uYKjY2NGmOXLl0SZDKZMHPmzHbnsvb0y5%2B5154uLS0tglKpFF555ZV247qz/niLsJOysrJgaWmJ6OhocczGxgZz585Fbm4uysrKdM7ds2cPPDw8MGXKFHHM1dUVkZGR2LdvHxobG7t076ZAn/w9qaamxmR%2BnUV3s7Kygru7e6fmsgb1y9%2BTzLEGR44cCUtLzRsgffv2xauvvir%2BahJdWHv65e9J5lh7ukgkEnh7e%2BPBgwftxnVn/bHB6qTi4mIoFAqNN7oDj9%2BV1Xpcl7Nnz2LIkCFa435%2Bfnj06BFKS0sNu1kTpE/%2BgMeXeQMDA%2BHk5AQ7OztMnjwZly9f7rL9vmhYg/pjDWqrqKiAq6truzGsPd06kj%2BAtdfq0aNHuHv3Lq5cuYJ169bh0KFDT31lUnfWHxusTlKpVJDL5VrjcrkcgiC0%2B0uT25sLwGR/4bIh6ZM/Ozs7zJkzBykpKdi7dy9WrFiBI0eOwN/fv8NXvswda1A/rEFtGRkZKCsrw/Tp09uNY%2B21raP5Y%2B39ZunSpXBzc0Pfvn2xbNkyTJ06FRs2bGh3TnfWHx9y7yS1Wg0bGxutcZlMJh7vzFxBEIzzW7%2B7mT75i4iIQEREhPhzWFgYxo0bh4CAACQmJiIlJcXwG37BsAb1wxrUVFJSgtjYWPj7%2B2PWrFntxrL2tD1L/lh7v3nvvfcQERGB8vJy7Nq1C83Nzaivr293TnfWH69gdZKtrW2b/0PW1dWJxzszVyKRmMUvhNYnf23x9/fHiBEjOvyaDHPHGjQ8c63BiooKTJo0Cb169cLu3bshkUjajWftaXrW/LXFXGtPoVAgKCgIf/vb37B//35UV1cjLCys3TndWX9ssDpJLpdDpVJpjbeOeXp6dsncF0VX5MDb2xv37t3Te2/mgDXYNcytBh8%2BfIjx48fj4cOH%2BO9//wsPD4%2BnzmHt/aYz%2BdPF3GqvLeHh4Thz5ky77xPrzvpjg9VJSqUSpaWlqKmp0RjPy8uDRCKBUqlsd25RUZHWeF5eHuzs7KBQKAy%2BX1OjT/50uXLlCtzc3Ay1xRcaa7BrmFMN1tfXIzQ0FJcvX8bBgwfxpz/9qUPzWHuPdTZ/uphT7enSenuvqqpKZ0x31h8brE4KDw9HU1MTtmzZIo41NDQgLS0NI0eOhJeXFwDg1q1b%2BPnnn9Hc3Kwxt6KiAtnZ2eJYZWUlsrKyEBYWBisrq%2B77IkaiT/4qKyu11vvuu%2B9QWFiICRMmdP3mnzOsQf2wBrW1tLQgMjISp0%2BfRlZWlvi3f3%2BPtdc2ffJn7rUHAHfu3NEaa2pqwrZt22Brayu%2BqNXY9cdf9qyHqKgo7N27F4sXLxbfRF5QUICjR4/C398fADB79mykp6fj6tWrePnllwE8/odr9OjRuHDhAv7xj3/A1dUVKSkpuHHjBs6cOYN%2B/foZ82t1m87mT6FQYPDgwRg2bBh69OiBwsJCfPXVV/Dy8kJ%2Bfr5Z/b%2B4L7/8Eg8ePEBZWRk2bdqEqVOnYvDgwQCARYsWwdHRkTXYjs7mz9xrcPHixfjiiy8QFham8cB1q7fffhsA//2niz75M/faA4CpU6fi4cOHCAgIgJeXF27duoXt27fj559/RnJyMuLi4gCYQP0Z9LWlZqa%2Bvl5Yvny54OnpKdja2gojRowQDh8%2BrBEze/ZswcLCQrh27ZrG%2BIMHD4To6GjBzc1NcHBwEIKCgoSioqLu3L7RdTZ/H374oTBkyBChV69ego2NjdC7d28hNjZWuH37dnd/BaPr3bu3IJVK2/y05ow1qFtn82fuNRgYGKgzb1KpVIxj7bVNn/yZe%2B0JwuO3sY8bN06Qy%2BWCtbW14OLiIowbN044cOCARpyx649XsIiIiIgMjM9gERERERkYGywiIiIiA2ODRURERGRgbLCIiIiIDIwNFhEREZGBscEiIiIiMjA2WEREREQGxgaLiIiIyMDYYBEREVGXq62txapVqzBhwgS4uLhAKpUiPT1drzULCwsRGhoKuVwOR0dHDBo0CBs2bEBLS4uBdt15bLCIiIioy1VWViIhIQElJSVQKpWQSCR6rVdUVAR/f39cv34d77//PpKTk%2BHr64u4uDgsXbrUQLvuPP6qHCIiIupyjY2NuH//Ptzd3VFYWIjhw4cjLS0Ns2bN6tR6MTEx%2BPrrr3Hr1i306NFDHA8MDMS5c%2Bdw//59Q229U3gFi4iIiLqclZUV3N3dOxR76NAhBAQEwMHBAU5OTggNDcVPP/2kEVNdXQ2ZTKbRXAGAh4cHbG1tDbbvzmKDRURERCbj66%2B/RmhoKBwdHfHpp5/io48%2BwsWLF/H666/j%2BvXrYlxgYCAePnyImJgYlJSU4Pr169i0aRP27t2L%2BPh4I36Dx3iLkIiIiLqVrluEtbW18Pb2RlRUFFJTU8XxO3fuQKFQICoqCps2bQIAtLS0YPHixdi8eTMaGxsBAJaWlti4cSNiYmK69wu1wdLYGyAiIiICgMOHD6OqqgrTp0/H3bt3xXGJRIIRI0bg2LFj4phUKoWvry/Gjx%2BPyMhI2NjYIDMzE7GxsfDw8EBYWJgxvoKIDRYRERGZhEuXLkEQBIwZM0brmEQigZOTk/jzmjVrsGHDBly6dAl2dnYAgPDwcAQFBWHBggUIDQ2FVGq8J6HYYBEREZFJaGlpgUQiQUZGBl566SWt45aWv7UtqampCAoKEpurVmFhYVi6dCmuXr2KPn36dPmedWGDRURERCbB19cXgiDAzc0NQUFB7cZWVFSgublZa7z1eaympqYu2WNH8W8REhERkUkICQmBk5MTVq9e3WaDVFlZKf5ZoVDg8OHDGu%2B7amlpwc6dO%2BHo6AhfX99u2bMu/w8ZeajuK%2BgSzQAAAABJRU5ErkJggg%3D%3D\"/>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-6830112477044886234\">\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">97862</td>\n",
-       "        <td class=\"number\">22.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:31%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">150000.0</td>\n",
-       "        <td class=\"number\">1943</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">200000.0</td>\n",
-       "        <td class=\"number\">1818</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">175000.0</td>\n",
-       "        <td class=\"number\">1808</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">160000.0</td>\n",
-       "        <td class=\"number\">1684</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">180000.0</td>\n",
-       "        <td class=\"number\">1668</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">165000.0</td>\n",
-       "        <td class=\"number\">1659</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">225000.0</td>\n",
-       "        <td class=\"number\">1629</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">210000.0</td>\n",
-       "        <td class=\"number\">1554</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">125000.0</td>\n",
-       "        <td class=\"number\">1534</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (40893)</td>\n",
-       "        <td class=\"number\">314603</td>\n",
-       "        <td class=\"number\">73.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-6830112477044886234\">\n",
-       "            <p class=\"h4\">Minimum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">97862</td>\n",
-       "        <td class=\"number\">22.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1.0</td>\n",
-       "        <td class=\"number\">44</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">3.0</td>\n",
-       "        <td class=\"number\">2</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">10.0</td>\n",
-       "        <td class=\"number\">2</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">100.0</td>\n",
-       "        <td class=\"number\">29</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "            <p class=\"h4\">Maximum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">174000000.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">180000000.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">208711453.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">245000000.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">253486470.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">SCHOOL_DST<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>24</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.3%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>1425</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-2281923410331653424\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>001</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:61%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 30.2%\">\n",
-       "            129308\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>279</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:23%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 11.6%\">\n",
-       "            49461\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>281</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:16%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 8.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        34268\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (20)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 49.9%\">\n",
-       "            213300\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-2281923410331653424, #minifreqtable-2281923410331653424\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-2281923410331653424\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">001</td>\n",
-       "        <td class=\"number\">129308</td>\n",
-       "        <td class=\"number\">30.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">279</td>\n",
-       "        <td class=\"number\">49461</td>\n",
-       "        <td class=\"number\">11.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">281</td>\n",
-       "        <td class=\"number\">34268</td>\n",
-       "        <td class=\"number\">8.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:27%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">271</td>\n",
-       "        <td class=\"number\">31115</td>\n",
-       "        <td class=\"number\">7.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">270</td>\n",
-       "        <td class=\"number\">25084</td>\n",
-       "        <td class=\"number\">5.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">284</td>\n",
-       "        <td class=\"number\">24008</td>\n",
-       "        <td class=\"number\">5.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:19%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">272</td>\n",
-       "        <td class=\"number\">21461</td>\n",
-       "        <td class=\"number\">5.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">283</td>\n",
-       "        <td class=\"number\">17027</td>\n",
-       "        <td class=\"number\">4.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">011</td>\n",
-       "        <td class=\"number\">16803</td>\n",
-       "        <td class=\"number\">3.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">273</td>\n",
-       "        <td class=\"number\">15524</td>\n",
-       "        <td class=\"number\">3.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (13)</td>\n",
-       "        <td class=\"number\">62278</td>\n",
-       "        <td class=\"number\">14.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:48%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">SPEC_ASSES<br/>\n",
-       "            <small>Numeric</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>4282</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>1.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "\n",
-       "                <tr>\n",
-       "                    <th>Mean</th>\n",
-       "                    <td>142.82</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>749610</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"alert\">\n",
-       "                    <th>Zeros (%)</th>\n",
-       "                    <td>83.9%</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram7270850834030152091\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABZNJREFUeJzt2k1oE2kcx/G/xYqB0rqa1rc0E/JW0RgUU4oUhbpFEaHgpYLEQw4iop4WelGh1l7Uo7QnC22oELGCFwOydbH0pF5UxKDWOk1hS6LtxZfYkulvD4uzW9n9k4KdtPL7QC595unzDJkvZDIRlMHg4CBEhC%2B%2BFvUaHBx0/FpdLWXg8/lERKSjo0Pq6%2BtLnrd9%2B3ZZt27dEu2KlqtMJiPxeNy%2BbpxUlkBcLpeIiFy9enVR81p%2BbZU/hn9fii3RCvDtunFSWQL5JtjeJa46X0nH/jmSlHwut7QbIvpOWQOprPpF1lTXlnRsxRqXyOwSb4joOxXl3gDRcsZAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESMFAiBQMhEjBQIgUDIRIwUCIFAyESLG6HIsWCgUREXmd/E1WVZTWaLE4JzX%2BoNy8eXNRa1VUVMj8/PyynOPkWst5jtvtltra2v8dz2QyIvLPdeOksgRimqaIiFjFuUXNGxt7LfF4fAl2RCuBaZrS3Nzs6JqrAMDRFUXkw4cPcv/%2BffH5fOJyuZxenlaYQqEgpmnKoUOHxO12O7p2WQIhWil4k06kYCBECscDGRsbk%2BbmZmloaJCmpib7Gwr6uaTTadmzZ4/s3r1botGoJJNJERF5//69HD58WMLhsESjURkdHbXnFAoFOX78uIRCIdm2bZvcuXPHHgMg586dk2AwKOFwWHp6ehas193dLcFgUEKhkFy4cGHBWF9fn4TDYQmFQnLq1CmxLKv0E4HDDhw4gGQyCQAYGhpCY2Oj01sgB6xfvx4vXrwAAJimibVr1%2BLTp09IJBK4dOkSAODJkyfweDwoFosAgK6uLiQSCQDAu3fvUFdXh5mZGQDAwMAAWltbAQAzMzMwDAMvX74EAIyMjCASiaBQKGB2dhaxWAzpdBoAMD4%2Bji1btiCfzwMA2tra0NvbW/J5OBpIPp9HTU0NLMuy/7Zp0ya8ffvWyW2QA9xuN0ZHRwEAz549g8fjwdzcHKqqqpDL5ezjmpqa8ODBAwDAjh078OjRI3usvb0dfX19AIAjR47g1q1b9lhHRwcuXrwIADhz5gyuXLlij/X29uLEiRMAgGvXruH06dP2WDqdxr59%2B0o%2BD0c/Yk1OTsrmzZul4l8PB71er2SzWSe3QQ5IpVJy9OhR8fl8sn//fhkYGJCPHz9KsViUuro6%2BzjDMOz3P5vNimEY9pjP51vSsVLwJp1%2BOMuypLu7W%2B7evSumacrw8LDE43EpFouCFfZUwdFA6uvrZWpqasFPEbLZrHi9Xie3QUvs6dOnMjU1ZT/1jsVi4vF45Pnz51JZWSn5fN4%2B1jRN%2B/03DEMmJib%2Bc8zr9f7wsZKU/GHsB2lpaUF/fz8A4Pbt27xJ/wnlcjlUV1cjk8kAAN68eYMNGzZgcnISiUQCnZ2dAIDHjx8vuEnv7Oy0b9LHx8exceNGTE9PAwD6%2B/vR2toKy7IwPT0NwzDsLwEePnyISCSCL1%2B%2B4OvXr4jFYrh37579f7Zu3YpcLof5%2BXm0tbWhp6en5HNxPJBXr15h7969CIfDaGxstE%2BSfi6pVAo7d%2B7Erl27EI1GkUqlAPwdz8GDBxEKhRCJRDAyMmLP%2Bfz5M44dO4ZAIICGhgYMDQ3ZY5Zl4ezZs/D7/QgGg7h%2B/fqC9S5fvgy/349AIIDz588vGLtx4wYCgQCCwSBOnjxpB1kK/tSESMGbdCIFAyFSMBAiBQMhUjAQIgUDIVIwECIFAyFSMBAiBQMhUjAQIgUDIVL8BbIiIW7tkqoxAAAAAElFTkSuQmCC\">\n",
-       "\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives7270850834030152091,#minihistogram7270850834030152091\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives7270850834030152091\">\n",
-       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
-       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles7270850834030152091\"\n",
-       "                                                  aria-controls=\"quantiles7270850834030152091\" role=\"tab\"\n",
-       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#histogram7270850834030152091\" aria-controls=\"histogram7270850834030152091\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#common7270850834030152091\" aria-controls=\"common7270850834030152091\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#extreme7270850834030152091\" aria-controls=\"extreme7270850834030152091\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
-       "\n",
-       "    </ul>\n",
-       "\n",
-       "    <div class=\"tab-content\">\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles7270850834030152091\">\n",
-       "            <div class=\"col-md-4 col-md-offset-1\">\n",
-       "                <p class=\"h4\">Quantile statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Minimum</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>5-th percentile</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q1</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Median</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q3</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>95-th percentile</th>\n",
-       "                        <td>517</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Maximum</th>\n",
-       "                        <td>749610</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Range</th>\n",
-       "                        <td>749610</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Interquartile range</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "            <div class=\"col-md-4 col-md-offset-2\">\n",
-       "                <p class=\"h4\">Descriptive statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Standard deviation</th>\n",
-       "                        <td>2642.1</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Coef of variation</th>\n",
-       "                        <td>18.5</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Kurtosis</th>\n",
-       "                        <td>27334</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Mean</th>\n",
-       "                        <td>142.82</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>MAD</th>\n",
-       "                        <td>244.36</td>\n",
-       "                    </tr>\n",
-       "                    <tr class=\"alert\">\n",
-       "                        <th>Skewness</th>\n",
-       "                        <td>134.05</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Sum</th>\n",
-       "                        <td>61093000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Variance</th>\n",
-       "                        <td>6980800</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Memory size</th>\n",
-       "                        <td>3.3 MiB</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram7270850834030152091\">\n",
-       "            <img 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rHk/pZ8kw0qplsQc3L3hMML7gecSERFR%2B/bv34/9%2B/dLYlVVVV00mw5qsMrLyyEIAiIjI7Fs2TKz40OGDMHy5csRHx%2BP/v37o6CgwCzn888/h4eHh/jaw8MDgiCgoKAAAQEBYvzixYswmUxmuWfPnjWrmZ%2Bfj969e8PNzQ0AMHLkSCgUChQUFCA4OFjMa2pqQlFREWbNmiWpmZKSguLiYslC9/z8fMhkMsn47XHxW4Leg4Y9MI%2BIiIgeTWhoKEJDQyWxwsJCsw%2BydZYOeUQ4cuRIHDx4EAcPHsShQ4fEnxEjRmDw4ME4dOgQFi1aBAB46aWX8NFHH4l3ugDgxIkTuHHjhmSzTx8fHzg4OCApKUkyVlJSEtRqNaZOnSrGgoODcevWLeTk5Igxg8GArKwsBAUFiXfF%2BvTpA19fX6SlpUl2bk9NTUVtba1k/BkzZkChUCAxMVEy/u7du%2BHs7Izx48f/O5eMiIiIepAOuYOl0WgQFBRkFt%2B%2BfTtkMhmmT58uxtatW4esrCx4e3tj%2BfLlqK6uRlxcHEaNGoUFCxaIeUqlEps2bUJERAR0Oh38/f1x%2BvRppKenIyYmBn379hVzg4ODkZCQgIULF%2BLatWtwdHREYmIiTCYTNm7cKJlTdHQ0JkyYgEmTJiEsLAylpaWIj4%2BHv78//Pz8xDxnZ2esWLECcXFxaGxsxLhx43Dw4EGcO3cO6enp3GSUiIiIRJ2yk/u9ftqIPPHEE/j000%2BxatUqvPnmm7CxscG0adMQFxcn3mlqFR4eDhsbG2zbtg2HDx%2BGi4sLEhISzB5DyuVyHD16FFFRUdi5cyeMRiO8vLyQmpoKV1dXSe7o0aORl5eHtWvXYtWqVbCzs8PixYsRExNjNvfY2Fg4ODggOTkZe/fuhaurK/bt2yd5lEhEREQkEwRB6OpJ9HStz4CfeWVnt1mDVfLBevh6PIWsrKyungoREdHP0vr399KlS21uQN6ROuXLnomIiIgeJ2ywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQW1mEN1hdffAGdToehQ4dCrVajf//%2BmDx5Mj766CNJ3sKFCyGXy81%2B3N3d26ybkpICd3d3qFQquLm5YdeuXW3mVVVVISwsDAMGDICtrS18fHxw%2BfLlNnPPnz%2BPiRMnQq1WQ6vVYvny5aitrTXLEwQBW7ZswZAhQ6BSqTBq1ChkZGQ84pUhIiKink7RUYW/%2BeYb1NTUYMGCBXByckJdXR2ys7MRFBSEPXv24NVXXxVzlUolUlJSIAiCGLO3tzermZycjPDwcISEhGD16tU4c%2BYMIiMjYTQaERUVJeYJgoDAwEBcvXoVa9asgUajQWJiIry9vVFYWIihQ4eKuUVFRfD19YW7uzu2b9%2BOsrIybN26FSUlJThy5Ihk/HXr1iE2NhZLlizB2LFjkZubizlz5kAul0On01ny8hEREVE3JhPu7Wo6mCAIGDNmDBoaGvDFF18AuHsHKzs7G3fu3LnvufX19XBxccH48eORm5srxufNm4fc3FyUlpaKTVlmZiZmz56N7OxszJw5EwBgMBjg5uaGwMBApKWliecHBgbiypUruH79OtRqNYC7d8nCwsJw/Phx%2BPr6AgAqKirw9NNP47XXXsOOHTvE8ydPnoybN2/i5s2bkMlkbc69sLAQnp6eeOaVneg9aNijXrYuUfLBevh6PIWsrKyungoREdHP0vr399KlSxgzZkynjt2pa7BkMhlcXFzw448/mh0zmUyorq5u99yTJ0%2BisrISS5culcRff/111NTUSO42ZWdnY9CgQWJzBQCOjo7Q6XTIzc1FU1MTAKC6uhp5eXmYN2%2Be2FwBwPz586FWq5GZmSnGDh06hObmZoSHh0vGDw8PR1lZGS5cuPCQV4GIiIh6ug5vsOrq6nD79m189dVX2L59O44ePSreFbo3p0%2BfPrC3t4dGo0FERITZGqjW9VOenp6SuKenJ%2BRyuWR91eXLl9vsVL28vFBXV4cbN24AAK5evYrm5mazmtbW1vDw8JDULCoqglqtxvDhw81qCoLQ7vouIiIievx02BqsVqtXr0ZycjIAQC6X46WXXsLOnTvF405OTlizZg3GjBkDk8mEY8eOITExEVeuXMGpU6cgl9/tAfV6PaysrODo6Cipb21tDY1Gg4qKCjGm1%2BsxefJks7lotVoAdx/3jRgxAnq9HjKZTIz/NPfs2bOSmgMHDrxvTSIiIiKgExqslStXIiQkBBUVFcjMzERLSwsaGhrE49HR0ZJ8nU4HV1dXrF%2B/HllZWeLicaPRCBsbmzbHUCqVMBqN4muj0YhevXq1mScIgpjb%2Bru93IeteW8tIiIiog5/ROjm5gYfHx/MnTsXH374IaqrqxEUFHTfc1auXAmZTIa8vDwxplKp0NjY2GZ%2BfX09VCqVJPfeJu7ePJlMJua2/m4v92Fr3luLiIiIqMPvYP1UcHAwXnvtNXz55ZdwdXVtM0epVEKj0aCyslKMabVatLS0wGAwSB4TNjU14fbt23BycpLk6vV6s7qtsdZcrVYLQRDazf1pzVOnTj2w5v2UfpIMK6VaEnNw94bDCO8HnktERETt279/P/bv3y%2BJVVVVddFsuqDBan2Udr83XVNTA4PBgP79%2B4sxDw8PCIKAgoICBAQEiPGLFy/CZDLBw8NDknvv%2BqlW%2Bfn56N27N9zc3AAAI0eOhEKhQEFBAYKDg8W8pqYmFBUVYdasWZKaKSkpKC4ulix0z8/Ph0wmk4zfHhe/Jd1mmwYiIqLuJDQ0FKGhoZJY6zYNXaHDHhH%2B8MMPZrHm5mbs3bsXKpUK7u7uaGhoQE1NjVneu%2B%2B%2BCwCYMmWKGPPx8YGDgwOSkpIkuUlJSVCr1Zg6daoYCw4Oxq1bt5CTkyPGDAYDsrKyEBQUBGtrawBAnz594Ovri7S0NMmnFlNTU1FbWyvZPHTGjBlQKBRITEyUjL979244Oztj/PjxD3VdiIiIqOfrsDtYS5YswZ07dzBp0iQ4Ozvju%2B%2B%2Bw759%2B3D9%2BnXEx8ejd%2B/e%2BOabbzB69GiEhoaKd4WOHTuGo0ePIjAwULJWS6lUYtOmTYiIiIBOp4O/vz9Onz6N9PR0xMTEoG/fvmJucHAwEhISsHDhQly7dg2Ojo5ITEyEyWTCxo0bJfOMjo7GhAkTMGnSJISFhaG0tBTx8fHw9/eHn5%2BfmOfs7IwVK1YgLi4OjY2NGDduHA4ePIhz584hPT293U1GiYiI6PHTYQ3W7NmzkZKSgt27d%2BP27duws7ODp6cntm7dKt5t6tu3L6ZPn468vDykpqaipaUFw4YNw%2BbNm7F69WqzmuHh4bCxscG2bdtw%2BPBhuLi4ICEhAcuWLZPkyeVyHD16FFFRUdi5cyeMRiO8vLyQmppqtu5r9OjRyMvLw9q1a7Fq1SrY2dlh8eLFiImJMRs/NjYWDg4OSE5Oxt69e%2BHq6op9%2B/ZJHiUSERERdepX5Tyu%2BFU5REREne%2Bx%2BaocIiIioscBGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGFssIiIiIgsjA0WERERkYWxwSIiIiKysA5rsL744gvodDoMHToUarUa/fv3x%2BTJk/HRRx%2BZ5RYXFyMgIAB2dnbQaDSYP38%2BDAZDm3VTUlLg7u4OlUoFNzc37Nq1q828qqoqhIWFYcCAAbC1tYWPjw8uX77cZu758%2BcxceJEqNVqaLVaLF%2B%2BHLW1tWZ5giBgy5YtGDJkCFQqFUaNGoWMjIxHuCpERET0OOiwBuubb75BTU0NFixYgN///vd45513IJPJEBQUhD/%2B8Y9iXnl5OZ5//nl89dVX2Lx5M6KionDkyBG8%2BOKLaG5ultRMTk7G4sWL8eyzz2LXrl0YP348IiMjsXXrVkmeIAgIDAxERkaGePyHH36At7c3/vnPf0pyi4qK4Ovri/r6emzfvh2LFy/Gnj17oNPpzN7TunXr8MYbb8Df3x%2B7du3C4MGDMWfOHGRmZlrwyhEREVF3JxMEQeiswQRBwJgxY9DQ0IAvvvgCALB06VKkpqbi%2BvXrcHZ2BgCcOHECfn5%2B2LNnD1599VUAQH19PVxcXDB%2B/Hjk5uaKNefNm4fc3FyUlpbC3t4eAJCZmYnZs2cjOzsbM2fOBAAYDAa4ubkhMDAQaWlp4vmBgYG4cuUKrl%2B/DrVaDeDuXbKwsDAcP34cvr6%2BAICKigo8/fTTeO2117Bjxw7x/MmTJ%2BPmzZu4efMmZDJZm%2B%2B7sLAQnp6eeOaVneg9aJhFrmVHK/lgPXw9nkJWVlZXT4WIiOhnaf37e%2BnSJYwZM6ZTx%2B7UNVgymQwuLi748ccfxVhOTg6mTZsmNlcA8MILL8DNzU1yZ%2BjkyZOorKzE0qVLJTVff/111NTU4MiRI2IsOzsbgwYNEpsrAHB0dIROp0Nubi6ampoAANXV1cjLy8O8efPE5goA5s%2BfD7VaLRn/0KFDaG5uRnh4uGT88PBwlJWV4cKFCz/3shAREVEP0%2BENVl1dHW7fvo2vvvoK27dvx9GjRyV3hb7//nuMHTvW7DwvLy/JmqnWf3t6ekryPD09IZfLzXLb6lS9vLxQV1eHGzduAACuXr2K5uZms5rW1tbw8PCQ1CwqKoJarcbw4cPNagqC0O76LiIiInr8dHiDtXr1avTv3x/Dhg1DVFQUfvOb32Dnzp0AAL1eDwDQarVm52m1WlRWVop3m/R6PaysrODo6CjJs7a2hkajQUVFhRjT6/Xt1gQg5ur1eshksnZzf1pz4MCBD6xJREREpOjoAVauXImQkBBUVFQgMzMTLS0taGhoAAAYjUYAQK9evczOUyqVYo61tTWMRiNsbGzaHEOpVIq1Ws9pr6YgCGLug8Z/2Jr31iIiIiLq8DtYbm5u8PHxwdy5c/Hhhx%2BiuroaQUFBAACVSgUAYsN1r/r6ekmOSqVCY2Njm2PU19eLea257dWUyWSSmvcb/2Fr3luLiIiIqMPvYP1UcHAwXnvtNXz55Zfi47XWR4X30uv1cHBwgLW1NYC7j%2BJaWlpgMBgkjwmbmppw%2B/ZtODk5iTGtVttuTQBirlarhSAI7eb%2BtOapU6ceWPN%2BSj9JhpVSLYk5uHvDYYT3A88lIiKi9u3fvx/79%2B%2BXxKqqqrpoNl3QYLU%2BSquqqoKrqyv69%2B%2BPgoICs7zPP/8cHh4e4msPDw8IgoCCggIEBASI8YsXL8JkMpnlnj171qxmfn4%2BevfuDTc3NwDAyJEjoVAoUFBQgODgYDGvqakJRUVFmDVrlqRmSkoKiouLJQvd8/PzIZPJJOO3x8VvSbfZpoGIiKg7CQ0NRWhoqCTWuk1DV%2BiwR4Q//PCDWay5uRl79%2B6FSqWCu7s7AOCll17CRx99hPLycjHvxIkTuHHjhmSzTx8fHzg4OCApKUlSMykpCWq1GlOnThVjwcHBuHXrFnJycsSYwWBAVlYWgoKCxLtiffr0ga%2BvL9LS0iQ7t6empqK2tlYy/owZM6BQKJCYmCgZf/fu3XB2dsb48eMf6foQERFRz9Vhd7CWLFmCO3fuYNKkSXB2dsZ3332Hffv24fr164iPj0fv3r0B3N0dPSsrC97e3li%2BfDmqq6sRFxeHUaNGYcGCBWI9pVKJTZs2ISIiAjqdDv7%2B/jh9%2BjTS09MRExODvn37irnBwcFISEjAwoULce3aNTg6OiIxMREmkwkbN26UzDM6OhoTJkzApEmTEBYWhtLSUsTHx8Pf3x9%2Bfn5inrOzM1asWIG4uDg0NjZi3LhxOHjwIM6dO4f09PR2NxklIiKix0%2BHNVizZ89GSkoKdu/ejdu3b8POzg6enp7YunWr5G7TE088gU8//RSrVq3Cm2%2B%2BCRsbG0ybNg1xcXHinaZW4eHhsLGxwbZt23D48GG4uLggISEBy5Ytk%2BTJ5XIcPXoUUVFR2LlzJ4yRz0JvAAAgAElEQVRGI7y8vJCamgpXV1dJ7ujRo5GXl4e1a9di1apVsLOzw%2BLFixETE2P2nmJjY%2BHg4IDk5GTs3bsXrq6u2Ldvn%2BRRIhEREVGnflXO44pflUNERNT5HpuvyiEiIiJ6HLDBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiILY4NFREREZGHy6dOnIzMzEw0NDV09FyIiIqIeQf7FF19g9uzZGDhwIBYtWoRTp0519ZyIiIiIujX5P//5T5w7dw4vv/wyDh8%2BjBdeeAFPPvkk3nzzTfz973/v6vkRERERdTtyAPjVr36F9957D3q9Hh9%2B%2BCEmTJiAnTt3YtSoUfDw8EB8fDz0en1Xz5WIiIioW5AscreyssLUqVOxf/9%2BlJWVITg4GFeuXEFUVBSefPJJBAQE4Pjx4101VyIiIqJuwexThPn5%2BYiIiICbmxsOHDiAZ555BtHR0di8eTNKS0sRGBiI//mf/%2BmKuRIRERF1CwoAuHHjBtLS0pCeno6vv/4ajo6OCA0Nxbx58zB27FgxefXq1Vi0aBF27tyJDRs2dNmkiYiIiP6TKcaOHYvLly/DxsYG06ZNw/bt2zFlyhQoFIo2T/D19cWf/vSnTp4mERERUfehUCqVSExMxKxZs9C3b98HnhAUFIQvv/yyE6ZGRERE1D0pzp49%2B0gnqNVqDB06tIOmQ0RERNT9yYuKipCcnNxuwp49e3DlypVOnBIRERFR9yZft24djh492m7C8ePH8dZbb3XilIiIiIi6N3lBQQEmTZrUbsLzzz%2BPixcvduKUiIiIiLo3eXV1NWxsbNpNsLKyQlVVVSdOiYiIiKh7k7u6uuKTTz5pN%2BHjjz/G008//ciFCwoKEBERgZEjR8LW1haDBw/GrFmzzD6BuHDhQsjlcrMfd3f3NuumpKTA3d0dKpUKbm5u2LVrV5t5VVVVCAsLw4ABA2BrawsfHx9cvny5zdzz589j4sSJUKvV0Gq1WL58OWpra83yBEHAli1bMGTIEKhUKowaNQoZGRmPeGWIiIiop1MsXLgQq1evxpo1a/D222/Dzs4OAHDnzh1s2rQJf/3rXxEbG/vIhWNjY3H%2B/HmEhITgueeew3fffYedO3dizJgx%2BOyzzyQNlFKpREpKCgRBEGP29vZmNZOTkxEeHo6QkBCsXr0aZ86cQWRkJIxGI6KiosQ8QRAQGBiIq1evYs2aNdBoNEhMTIS3tzcKCwsln4IsKiqCr68v3N3dsX37dpSVlWHr1q0oKSnBkSNHJOOvW7cOsbGxWLJkCcaOHYvc3FzMmTMHcrkcOp3uka8RERER9Uwyk8kkzJ8/H/v27YNCocATTzwBACgrK0NzczNCQ0ORlpYGmUz2SIXz8/MxduxYyYalJSUlePbZZxESEoLU1FQAd%2B9gZWdn486dO/etV19fDxcXF4wfPx65ublifN68ecjNzUVpaanYlGVmZmL27NnIzs7GzJkzAQAGgwFubm4IDAxEWlqaeH5gYCCuXLmC69evQ61WA7h7lywsLAzHjx%2BHr68vAKCiogJPP/00XnvtNezYsUM8f/Lkybh58yZu3rzZ7jUqLCyEp6cnnnllJ3oPGvbQ17ArlXywHr4eTyErK6urp0JERPSztP79vXTpEsaMGdOpY8tlMhn%2B8pe/4Pjx43jllVcwbNgwDBs2DIsWLcLHH3%2BMffv2PXJzBQC//OUvzXaDHzZsGEaMGIF//OMfZvkmkwnV1dXt1jt58iQqKyuxdOlSSfz1119HTU2N5G5TdnY2Bg0aJDZXAODo6AidTofc3Fw0NTUBAKqrq5GXl4d58%2BaJzRUAzJ8/H2q1GpmZmWLs0KFDaG5uRnh4uGT88PBwlJWV4cKFC/e7HERERPQYEb/s2c/PD7t378bHH3%2BMjz/%2BGElJSeLdG0u6desWHB0dJbG6ujr06dMH9vb20Gg0iIiIMFsD1bp%2BytPTUxL39PSEXC6XrK%2B6fPlym52ql5cX6urqcOPGDQDA1atX0dzcbFbT2toaHh4ekppFRUVQq9UYPny4WU1BENpd30VERESPH/mDUywnLS0N5eXlmD17thhzcnLCmjVr8Oc//xkZGRmYMWMGEhMTMWXKFJhMJjFPr9fDysrKrDmztraGRqNBRUWFJFer1ZqN3xprzdXr9ZDJZO3m/rTmwIEDH1iTiIiISAHcXXOUkpKCr776Cv/6178ki80BQCaToaGh4d8aqLi4GBEREZgwYQLmz58vxqOjoyV5Op0Orq6uWL9%2BPbKyssTF40ajsd3tJJRKJYxGo/jaaDSiV69ebeYJgiDmtv5uL/dha95bi4iIiEjxxhtvYOvWrXj22WcRHByMfv36WXyQW7duYerUqejXrx8OHDjwwDVdK1euxNtvv428vDyxwVKpVGhsbGwzv76%2BHiqVSnytUqnabAjr6%2Bshk8nE3Nbf7eU%2BbM17axEREREp3n//fcycObPDPi12584dBAQE4M6dOzh79iwGDRr0wHOUSiU0Gg0qKyvFmFarRUtLCwwGg%2BQxYVNTE27fvg0nJydJrl6vN6vbGmvN1Wq1EASh3dyf1jx16tQDa95P6SfJsFKqJTEHd284jPB%2B4LlERETUvv3792P//v2SWFdulK4wGo148cUXO6R4Q0MDpk2bhpKSEpw4cQK/%2BMUvHuq8mpoaGAwG9O/fX4x5eHhAEAQUFBQgICBAjF%2B8eBEmkwkeHh6S3LNnz5rVzc/PR%2B/eveHm5gYAGDlyJBQKBQoKChAcHCzmNTU1oaioCLNmzZLUTElJQXFxsWShe35%2BPmQymWT89rj4Lek22zQQERF1J6GhoQgNDZXEWrdp6AryX//617h06ZLFC5tMJuh0Onz22WfIysqCl5eXWU5DQwNqamrM4u%2B%2B%2By4AYMqUKWLMx8cHDg4OSEpKkuQmJSVBrVZj6tSpYiw4OBi3bt1CTk6OGDMYDMjKykJQUBCsra0BAH369IGvry/S0tIkn1pMTU1FbW2tZPPQGTNmQKFQIDExUTL%2B7t274ezsjPHjxz/UdSEiIqKeT5GYmIgXX3wRW7ZsQVhYGPr27WuRwqtWrcLhw4cRFBQEg8GAffv2SY6//PLL%2BO677zB69GiEhoaKd4WOHTuGo0ePIjAwEEFBQWK%2BUqnEpk2bEBERAZ1OB39/f5w%2BfRrp6emIiYmRzDs4OBgJCQlYuHAhrl27BkdHRyQmJsJkMmHjxo2SeURHR2PChAmYNGkSwsLCUFpaivj4ePj7%2B8PPz0/Mc3Z2xooVKxAXF4fGxkaMGzcOBw8exLlz55Cenv6z9gojIiKinknWt29fobm5GXV1dQAAW1tbWFlZSZNkMty%2BffuRCv/617/G6dOn2z3e0tKCqqoqREZGIj8/HxUVFWhpacGwYcMwd%2B5crF692mwewN1PPG7btg1ff/01XFxcsGzZMixbtswsr6qqClFRUTh06BCMRiO8vLwQFxeH0aNHm%2BWeP38ea9euRWFhIezs7DBr1izExMRINh9tFRsbi%2BTkZOj1eri6umLdunWSbSfawp3ciYiIOl9X7uQue/nll4WHufvyl7/8pROm0zOxwSIiIup8XdlgKe79Xj4iIiIi%2Bvd16k7uRERERI8DOQCUlZUhIiICI0aMQP/%2B/XHmzBkAdz95t2rVKhQVFXXpJImIiIi6E0VxcTGef/55NDU1Ydy4cSguLkZTUxMAwNHRESdPnsSdO3fwxz/%2BsYunSkRERNQ9KNasWQNbW1vk5%2BfDysoKAwYMkCRMnToVBw4c6KLpEREREXU/8k8//RRLly7FwIED29zLafDgwSgvL%2B%2BCqRERERF1T/KWlpY293tqZTAYxJ3PiYiIiOjB5KNHj8axY8faPNjS0oKMjAz813/9VydPi4iIiKj7kr/xxhs4cuQIli1bhuLiYgB371qdOnUKAQEB%2BOKLL/DGG2908TSJiIiIug/F1KlTkZKSghUrVohfZNz6bdS2trZ4//334e3t3YVTJCIiIupeFACwYMECvPTSSzh27BhKSkpgMpkwdOhQTJkyBfb29l09RyIiIqJuRdH6Dzs7O4SEhHTlXIiIiIh6BEVFRcVDJTo5OXXwVIiIiIh6BsUTTzzR5v5XP9XS0tIJ0yEiIiLq/hR79uwxa7BaWlpw8%2BZN/OUvf4FWq8WSJUu6aHpERERE3Y/i1VdfbffgunXr4OXlhfr6%2Bk6cEhEREVH3Jr/fQVtbW7zyyivYtm1bZ82HiIiIqNu7b4PVSq/Xd/Q8iIiIiHoMRXsH6urqcPr0acTFxcHDw6Mz50RERETUrSmsra3b/BRhS0sLBEGAs7Mz3nvvvS6YGhEREVH3pFi7dq1ZgyWTydCvXz9xN3dra%2Bsumh4RERFR96P43//9366eAxEREVGP8lCL3H%2BOgoICREREYOTIkbC1tcXgwYMxa9YsfPnll2a5xcXFCAgIgJ2dHTQaDebPnw%2BDwdBm3ZSUFLi7u0OlUsHNzQ27du1qM6%2BqqgphYWEYMGAAbG1t4ePjg8uXL7eZe/78eUycOBFqtRparRbLly9HbW2tWZ4gCNiyZQuGDBkClUqFUaNGISMj4xGuChERET0OFGFhYY98kkwmQ3Jy8n1zYmNjcf78eYSEhOC5557Dd999h507d2LMmDH47LPP4O7uDgAoLy/H888/j379%2BmHz5s2orq7G1q1b8fe//x2ff/45FIr/tw4/OTkZ4eHhCAkJwerVq3HmzBlERkbCaDQiKipKzBMEAYGBgbh69SrWrFkDjUaDxMREeHt7o7CwEEOHDhVzi4qK4OvrC3d3d2zfvh1lZWXYunUrSkpKcOTIEcl7WrduHWJjY7FkyRKMHTsWubm5mDNnDuRyOXQ63SNfRyIiIuqZZE888YRgNBpRWVkJ4O6XPgNAdXU1AMDBwQEqlUp6kkyGb7/99r6F8/PzMXbsWEmDVFJSgmeffRYhISFITU0FACxduhSpqam4fv06nJ2dAQAnTpyAn58f9uzZg9aNUOvr6%2BHi4oLx48cjNzdXrDlv3jzk5uaitLQU9vb2AIDMzEzMnj0b2dnZmDlzJgDAYDDAzc0NgYGBSEtLE88PDAzElStXcP36dajVagB375KFhYXh%2BPHj8PX1BQBUVFTg6aefxmuvvYYdO3aI50%2BePBk3b97EzZs32/3KocLCQnh6euKZV3ai96Bh971u/ylKPlgPX4%2BnkJWV1dVTISIi%2Blla//5eunQJY8aM6dSx5Z988gl69%2B6NNWvWoKKiAlVVVaiqqkJFRQWioqKgVquRl5eH0tJS8edBzRUA/PKXv5Q0VwAwbNgwjBgxAv/4xz/EWE5ODqZNmyY2VwDwwgsvwM3NDZmZmWLs5MmTqKysxNKlSyU1X3/9ddTU1EjuNmVnZ2PQoEFicwUAjo6O0Ol0yM3NRVNTE4C7TWReXh7mzZsnNlcAMH/%2BfKjVasn4hw4dQnNzM8LDwyXjh4eHo6ysDBcuXHjgNSEiIqLHgzwiIgJ%2Bfn7YvHkzBg0aJB4YNGgQYmNj4evri4iICIsNeOvWLTg6OgK4e1fo%2B%2B%2B/x9ixY83yvLy8JGumWv/t6ekpyfP09IRcLjfLbatT9fLyQl1dHW7cuAEAuHr1Kpqbm81qWltbw8PDQ1KzqKgIarUaw4cPN6spCEK767uIiIjo8SNvfZTXnrFjx1rs7kxaWhrKy8sxe/ZsAP9vh3itVmuWq9VqUVlZKd5t0uv1sLKyEpuzVtbW1tBoNKioqBBjer2%2B3ZoAxFy9Xg%2BZTNZu7k9rDhw48IE1iYiIiOR9%2B/bF8ePH2004evSouLbp31FcXIyIiAhMmDAB8%2BfPBwAYjUYAQK9evczylUqlJMdoNMLGxqbN2kqlUsxrzW2vpiAIkpr3G/9ha95bi4iIiEgeFhaGDz/8EC%2B99BJOnTqFsrIylJWV4eTJk/jNb36DI0eOYMmSJf/WILdu3cLUqVPRr18/HDhwQFwM3rp4vqGhweyc%2Bvp6SY5KpUJjY2Ob9evr6yUL8VUqVbs1ZTKZpOb9xn/YmvfWIiIiIlK8/fbbMBqN2LZtGw4dOiQ5aGVlhf/%2B7//GO%2B%2B887MHuHPnDgICAnDnzh2cPXtWss6r9fFaW18mrdfr4eDgIO4ir9Vq0dLSAoPBIHlM2NTUhNu3b8PJyUlSt72aAMRcrVYLQRDazf1pzVOnTj2w5v2UfpIMK6VaEnNw94bDCO8HnktERETt279/P/bv3y%2BJVVVVddFsAIVMJsPvfvc7rFy5EsePHxc/ITh48GD4%2Bfm1ue7oYTU0NGDatGkoKSnBiRMn8Itf/EJy3MnJCf3790dBQYHZuZ9//rnkS6Y9PDwgCAIKCgoQEBAgxi9evAiTyWSWe/bsWbOa%2Bfn56N27N9zc3AAAI0eOhEKhQEFBAYKDg8W8pqYmFBUVYdasWZKaKSkpKC4ulix0z8/Ph0wme6gvxHbxW9JttmkgIiLqTkJDQxEaGiqJtW7T0BXEndwHDBiAefPm4a233sJbb72FuXPn/lvNlclkgk6nw2effYasrCx4eXm1mffSSy/ho48%2BQnl5uRg7ceIEbty4Idm808fHBw4ODkhKSpKcn5SUBLVajalTp4qx4OBg3Lp1Czk5OWLMYDAgKysLQUFB4l2xPn36wNfXF2lpaZKd21NTU1FbWysZf8aMGVAoFEhMTJSMv3v3bjg7O2P8%2BPGPcnmIiIioB1MAd5uhnJwcnDx5Et9//z02bNiAkSNH4s6dOzh16hR%2B%2BctfYsCAAY9UeNWqVTh8%2BDCCgoJgMBiwb98%2ByfGXX34ZwN3d0bOysuDt7Y3ly5ejuroacXFxGDVqFBYsWCDmK5VKbNq0CREREdDpdPD398fp06eRnp6OmJgY9O3bV8wNDg5GQkICFi5ciGvXrsHR0RGJiYkwmUzYuHGjZB7R0dGYMGECJk2ahLCwMJSWliI%2BPh7%2B/v7w8/MT85ydnbFixQrExcWhsbER48aNw8GDB3Hu3Dmkp6e3u8koERERPX4Ud%2B7cwZQpU3DhwgWoVCrU19eLm2n27t0b4eHhWLBgAaKjox%2Bp8P/93/9BJpPh8OHDOHz4sNnx1gbriSeewKeffopVq1bhzTffhI2NDaZNm4a4uDjxTlOr8PBw2NjYYNu2bTh8%2BDBcXFyQkJCAZcuWSfLkcjmOHj2KqKgo7Ny5E0ajEV5eXkhNTYWrq6skd/To0cjLy8PatWuxatUq2NnZYfHixYiJiTGbc2xsLBwcHJCcnIy9e/fC1dUV%2B/btkzxKJCIiIpKFh4cLqampOHDgAMaOHYuBAwciLy8PPj4%2BAIDly5fj9OnT3Ejz38CvyiEiIup8XfpVOQcPHsSyZcswZcoUyOVyswQ3NzfcvHmzUydFRERE1J3J//Wvf2HIkCHtJjQ3N4u7qRMRERHRg8mHDh1638d/eXl5eOaZZzpxSkRERETdm3zRokV4//33kZ2dLQZlMhmampqwYcMG/PWvf0VYWFgXTpGIiIioe1GsXLkSV69eRUhICDQaDQBg3rx5MBgMaGxsxKJFi7B48eIuniYRERFR96GQyWT405/%2BhN/%2B9rfIysrCl19%2BCZPJhKFDh0Kn04mfJiQiIiKih6P461//iieffBLe3t7w9vbu6vkQERERdXvymTNn4syZM109DyIiIqIeQz5s2DBUVlZ29TyIiIiIegz5G2%2B8gffeew8lJSVdPRciIiKiHkFx%2BfJl9OvXD%2B7u7njhhRfw1FNPQaVSSZJkMhm2bdvWRVMkIiIi6l4UCQkJ4ovjx4%2B3mcQGi4iIiOjhKfg1OERERESWpbCysurqORARERH1KHIAuH37NqysrPC3v/2tq%2BdDRERE1O3JW/8hCEJXzoOIiIiox5A/OIWIiIiIHgUbLCIiIiILUxQWFqKqqgoA8OWXX6Jv375tJo4ZM6Yz50VERETUbSnGjRsnvli6dKlZgiAIkMlkaGlp6cx5EREREXVbivfff7%2Br50BERETUo8h/%2B9vf4mF%2Bfo7a2lps2LABU6ZMgUajgVwuR2pqqlnewoULIZfLzX7c3d3brJuSkgJ3d3eoVCq4ublh165dbeZVVVUhLCwMAwYMgK2tLXx8fHD58uU2c8%2BfP4%2BJEydCrVZDq9Vi%2BfLlqK2tNcsTBAFbtmzBkCFDoFKpMGrUKGRkZDzCVSEiIqKeTtGRxQ0GAzZt2oTBgwfDw8MDp06dajdXqVQiJSVFsl2Evb29WV5ycjLCw8MREhKC1atX48yZM4iMjITRaERUVJSYJwgCAgMDcfXqVaxZswYajQaJiYnw9vZGYWEhhg4dKuYWFRXB19cX7u7u2L59O8rKyrB161aUlJTgyJEjkvHXrVuH2NhYLFmyBGPHjkVubi7mzJkDuVwOnU73b1wtIiIi6ik6tMFycnLCd999hwEDBuDSpUu4d72X2UQUCoSGht63Xn19PdavX4/p06fjgw8%2BAAAsWrQILS0t2LRpE8LCwsSm7MCBA7hw4QKys7Mxc%2BZMAEBISAjc3NywYcMGpKWliXXXrVsHBwcHfPrpp1Cr1QCAwYMHIywsDHl5efD19QUAVFRUID4%2BHsuWLcOOHTvE8SdPnoyoqCiEhIRAJpP9zKtFREREPUWHbtNgbW2NAQMGPHS%2ByWRCdXV1u8dPnjyJyspKs8X4r7/%2BOmpqaiR3m7KzszFo0CCxuQIAR0dH6HQ65ObmovU7GKurq5GXl4d58%2BaJzRUAzJ8/H2q1GpmZmWLs0KFDaG5uRnh4uGT88PBwlJWV4cKFCw/9XomIiKjn%2Bo/ZB6uurg59%2BvSBvb09NBoNIiIizNZAta6f8vT0lMQ9PT0hl8sl66suX77c5tYSXl5eqKurw40bNwAAV69eRXNzs1lNa2treHh4SGoWFRVBrVZj%2BPDhZjUFQWh3fRcRERE9Xv4jGiwnJyesWbMGf/7zn5GRkYEZM2YgMTERU6ZMgclkEvP0ej2srKzg6OgoOd/a2hoajQYVFRWSXK1WazZWa6w1V6/XQyaTtZv705oDBw58YE0iIiJ6vHXoGqyHFR0dLXmt0%2Bng6uqK9evXIysrS1w8bjQaYWNj02YNpVIJo9EovjYajejVq1ebeYIgiLmtv9vLfdia99YiIiKix9t/xB2stqxcuRIymQx5eXliTKVSobGxsc38%2Bvp6qFQqSW5DQ0ObeTKZTMxt/d1e7sPWvLcWERERPd7%2BI%2B5gtUWpVEKj0aCyslKMabVatLS0wGAwSB4TNjU14fbt23BycpLk6vV6s7qtsdZcrVYLQRDazf1pzba2mvhpzfaUfpIMK6VaEnNw94bDCO/7nkdERET3t3//fuzfv18Sa/0qwK7wH9tg1dTUwGAwoH///mLMw8MDgiCgoKAAAQEBYvzixYswmUzw8PCQ5J49e9asbn5%2BPnr37g03NzcAwMiRI6FQKFBQUIDg4GAxr6mpCUVFRZg1a5akZkpKCoqLiyUL3fPz8yGTySTjt8XFbwl6Dxr2CFeBiIiIHkZoaKjZdk%2BFhYVmH2LrLF3%2BiLChoQE1NTVm8XfffRcAMGXKFDHm4%2BMDBwcHJCUlSXKTkpKgVqsxdepUMRYcHIxbt24hJydHjBkMBmRlZSEoKAjW1tYAgD59%2BsDX1xdpaWmSTy2mpqaitrZWsnnojBkzoFAokJiYKBl/9%2B7dcHZ2xvjx43/OJSAiIqIepsPvYL333nv48ccfUV5eDgD48MMPUVpaCgCIjIxEZWUlRo8ejdDQUPGu0LFjx3D06FEEBgYiKChIrKVUKrFp0yZERERAp9PB398fp0%2BfRnp6OmJiYtC3b18xNzg4GAkJCVi4cCGuXbsGR0dHJCYmwmQyYePGjZI5RkdHY8KECZg0aRLCwsJQWlqK%2BPh4%2BPv7w8/PT8xzdnbGihUrEBcXh8bGRowbNw4HDx7EuXPnkJ6ezk1GiYiICAAgE%2B79bpoO8PTTT%2BPbb79t89jXX38Ne3t7REZGIj8/HxUVFWhpacGwYcMwd%2B5crF69GlZWVmbnpaSkYNu2bfj666/h4uKCZcuWYdmyZWZ5VVVViIqKwqFDh2A0GuHl5YW4uDiMHj3aLPf8%2BfNYu3YtCgsLYWdnh1mzZiEmJkay%2BWir2NhYJCcnQ6/Xw9XVFevWrcPs2bPbvQattyifeWVnt3lEWPLBevh6PIWsrKyungoREdHP0vr399KlS23ujdmROrzBIjZYREREXaErG6wuX4NFRERE1NOwwSIiIiKyMDZYRERERBbGBouIiIjIwthgEREREVkYGywiIiIiC2ODRURERGRhbLCIiIiILIwNFhEREZGFscEiIiIisjA2WEREREQWxgaLiIiIyMLYYBERERFZGBssIiIiIgtjg0VERERkYWywiIiIiCyMDRYRERGRhbHBIiIiIrIwNlhEREREFsYGi4iIiMjC2GARERERWRgbLCIiIiIL69AGq7a2Fhs2bMCUKVOg0Wggl8uRmpraZm5xcTECAgJgZ2cHjUaD%2BfPnw2AwtJmbkpICd3d3qFQquLm5YdeuXW3mVVVVISwsDAMGDICtrS18fHxw%2BfLlNnPPnz%2BPiRMnQq1WQ6vVYvny5aitrTXLEwQBW7ZswZAhQ6BSqTBq1ChkZGQ85BUhIiKix0GHNlgGgwGb/v/27jyqqnr9H/h7HznHczyAyaQHclZSU0NRcyhlEYY4mwxqOWXSxRTLrpI22BUxK1JLwwnX7bpQM4fK1Lo3XGXXgRARl1rmUJkMOZYDHmR6fn/0O/vr7hwsbwfB7fu11lkLPvvZz/48Z0Pnce/Np%2BRkHD16FCEhIVAUxWVcQUEBHn74YXz//feYP38%2Bpk%2Bfjm3btuHRRx9FeXm5Jnb58uWYOHEiOnTogCVLlqBnz55ITEzEm2%2B%2BqYkTEfTv3x/vv/%2B%2Buv3cuXMICwvDyZMnNbF5eXmIiIhASUkJFi5ciIkTJ2LFihWIjY11muusWbPwwgsvIDIyEkuWLEHTpk0xatQofPDBB3/x3SIiInSJcLgAAB3sSURBVCK98KjO5IGBgfj5558REBCA/fv3o2vXri7jUlJSYLfbkZeXh6CgIABA165d0bdvX7z33nt46qmnAAAlJSV46aWXMGjQIKxfvx4AMGHCBFRUVCA5ORnx8fGoX78%2BAGDDhg3Yu3cvNm3ahGHDhgEAYmJiEBwcjNmzZyMjI0M9/qxZs%2BDj44OdO3fCarUCAJo2bYr4%2BHhkZmYiIiICAFBYWIgFCxZgypQpePvtt9Xj9%2BnTB9OnT0dMTEyVTSQRERHdPar1CpbRaERAQMAfxm3evBkDBw5UmysAeOSRRxAcHKy5MvTFF1/g4sWLmDRpkmb/Z555BlevXsW2bdvUsU2bNqFRo0ZqcwUAfn5%2BiI2Nxccff4yysjIAwJUrV5CZmYnRo0erzRUAjBkzBlarVXP8jz76COXl5UhISNAcPyEhAfn5%2Bdi7d%2B8f1kpERET6V%2BMPuRcWFuLs2bPo0qWL07Zu3bppnplyfB0aGqqJCw0NhcFgcIrt3Lmzy5zXrl3DsWPHAACHDh1CeXm5U06j0YiQkBBNzry8PFitVrRp08Ypp4hU%2BXwXERER3V1qvMEqKioCANhsNqdtNpsNFy9eVK82FRUVoU6dOvDz89PEGY1G%2BPr6orCwUJO3qpwA1NiioiIoilJl7O9zNmzY8A9zEhER0d2txhssu90OAKhbt67TNrPZrImx2%2B0wmUwu85jNZjXOEVtVThHR5LzZ8f9szhtzERER0d2txhssi8UCALh%2B/brTtpKSEk2MxWJBaWmpyzwlJSVqnCO2qpyKomhy3uz4fzbnjbmIiIjo7latf0X4ZzhurzluFd6oqKgIPj4%2BMBqNamxFRQXOnz%2BvuU1YVlaGCxcuIDAwUJO3qpwA1FibzQYRqTL29zm//PLLP8xZldOfL0cds1Uz5tMuDD73h910PyIiIrq5devWYd26dZqxS5cu1dBsakGDFRgYCH9/f%2BTk5Dhty87ORkhIiPp9SEgIRAQ5OTno16%2BfOr5v3z5UVlY6xe7atcspZ1ZWFurVq4fg4GAAQPv27eHh4YGcnBxER0ercWVlZcjLy0NcXJwm56pVq3D06FHNg%2B5ZWVlQFEVzfFca930a9Rq1umkMERER3bqRI0di5MiRmrHc3FynP2K7XWr8FiEADB8%2BHFu3bkVBQYE6tmPHDhw7dkyz2Gd4eDh8fHywdOlSzf5Lly6F1WrFgAED1LHo6GicOXMGmzdvVsfOnz%2BPjRs3YvDgwepVMW9vb0RERCAjI0Ozcvvq1atRXFysOf6QIUPg4eGBtLQ0zfGXLVuGoKAg9OzZ8y%2B%2BE0RERKQH1X4F691338Wvv/6qNk9btmzB6dOnAQCJiYnw8vLCrFmzsHHjRoSFhWHq1Km4cuUKUlNT8cADD2DcuHFqLrPZjOTkZEyePBmxsbGIjIzEV199hbVr12LevHm455571Njo6GgsWrQI48ePx5EjR%2BDn54e0tDRUVlbi1Vdf1cwxJSUFvXr1Qu/evREfH4/Tp09jwYIFiIyMRN%2B%2BfdW4oKAgPPvss0hNTUVpaSm6du2KDz/8ELt378batWu5yCgREREBABQRkeo8QPPmzfHTTz%2B53PbDDz%2BgSZMmAIBvv/0W06ZNw65du2AymTBw4ECkpqbC39/fab9Vq1bhrbfewg8//IDGjRtjypQpmDJlilPcpUuXMH36dHz00Uew2%2B3o1q0bUlNT0alTJ6fYPXv2ICkpCbm5ufDy8kJcXBzmzZunWXzU4fXXX8fy5ctRVFSE1q1bY9asWRgxYkSV74HjEmXbJxffMbcIT6x/CREhzbBx48aangoREdH/xPH5u3//fpdrY1anam%2BwiA0WERFRTajJBqtWPINFREREpCdssIiIiIjcjA0WERERkZuxwSIiIiJyMzZYRERERG7GBouIiIjIzdhgEREREbkZGywiIiIiN2ODRURERORmbLCIiIiI3IwNFhEREZGbscEiIiIicjM2WERERERuxgaLiIiIyM3YYBERERG5GRssIiIiIjdjg0VERETkZmywiIiIiNyMDRYRERGRm7HBIiIiInIzNlhEREREblYrGqydO3fCYDA4verUqYPs7GxN7NGjR9GvXz94eXnB19cXY8aMwfnz513mXbVqFdq1aweLxYLg4GAsWbLEZdylS5cQHx%2BPgIAAeHp6Ijw8HAcOHHAZu2fPHjz00EOwWq2w2WyYOnUqiouL/9obQERERLriUdMTuNGzzz6LLl26aMZatWqlfl1QUICHH34YDRo0wPz583HlyhW8%2BeabOHz4MLKzs%2BHh8X/lLF%2B%2BHAkJCYiJicHzzz%2BP//73v0hMTITdbsf06dPVOBFB//79cejQIcyYMQO%2Bvr5IS0tDWFgYcnNz0bJlSzU2Ly8PERERaNeuHRYuXIj8/Hy8%2BeabOHHiBLZt21aN7wwRERHdSWpVg/XQQw/hscceq3J7SkoK7HY78vLyEBQUBADo2rUr%2Bvbti/feew9PPfUUAKCkpAQvvfQSBg0ahPXr1wMAJkyYgIqKCiQnJyM%2BPh7169cHAGzYsAF79%2B7Fpk2bMGzYMABATEwMgoODMXv2bGRkZKjHnzVrFnx8fLBz505YrVYAQNOmTREfH4/MzExERES4/00hIiKiO06tuEV4o6tXr6KiosLlts2bN2PgwIFqcwUAjzzyCIKDg/HBBx%2BoY1988QUuXryISZMmafZ/5plncPXqVc3Vpk2bNqFRo0ZqcwUAfn5%2BiI2Nxccff4yysjIAwJUrV5CZmYnRo0erzRUAjBkzBlarVXN8IiIiurvVqgZr/Pjx8Pb2htlsRnh4OPbv369uKywsxNmzZ51uIQJAt27dNM9MOb4ODQ3VxIWGhsJgMDjFdu7c2WXOa9eu4dixYwCAQ4cOoby83Cmn0WhESEhIlc9sERER0d2nVjRYJpMJ0dHRePvtt7FlyxakpKTg8OHD6N27Nw4ePAgAKCoqAgDYbDan/W02Gy5evKhebSoqKkKdOnXg5%2BeniTMajfD19UVhYaE6VlRUVGVOAGpsUVERFEWpMvbGnERERHR3qxXPYPXo0QM9evRQvx84cCCGDx%2BOjh07YubMmdi%2BfTvsdjsAoG7duk77m81mAIDdbofRaITdbofJZHJ5LLPZrOZy7FNVThFRY//o%2BDfmJCIiortbrbiC5UrLli0xZMgQfPHFFxARWCwWAMD169edYktKSgBAjbFYLCgtLXWZt6SkRI1zxFaVU1EUTc6bHf/GnERERHR3qxVXsKrSuHFjlJaWori4WL0157hVeKOioiL4%2BPjAaDQC%2BO2WXUVFBc6fP6%2B5TVhWVoYLFy4gMDBQHbPZbFXmBKDG2mw2iEiVsTfmrMrpz5ejjtmqGfNpFwaf%2B8P%2BcF8iIiKq2rp167Bu3TrN2KVLl2poNrW8wTp58iTMZjM8PT3h6ekJf39/5OTkOMVlZ2cjJCRE/T4kJAQigpycHPTr108d37dvHyorK51id%2B3a5ZQzKysL9erVQ3BwMACgffv28PDwQE5ODqKjo9W4srIy5OXlIS4u7g/radz3adRr1OoP44iIiOjWjBw5EiNHjtSM5ebmOv1x2u1SK24RulqJ/eDBg/jkk08QGRmpjg0fPhxbt25FQUGBOrZjxw4cO3YMsbGx6lh4eDh8fHywdOlSTc6lS5fCarViwIAB6lh0dDTOnDmDzZs3a%2BazceNGDB48WL0q5u3tjYiICGRkZGhWbl%2B9ejWKi4s1xyciIqK7W624ghUXFweLxYKePXsiICAAR44cwcqVK%2BHp6YnXXntNjZs1axY2btyIsLAwTJ06FVeuXEFqaioeeOABjBs3To0zm81ITk7G5MmTERsbi8jISHz11VdYu3Yt5s2bh3vuuUeNjY6OxqJFizB%2B/HgcOXIEfn5%2BSEtLQ2VlJV599VXNPFNSUtCrVy/07t0b8fHxOH36NBYsWIDIyEj07du3ut8mIiIiukPUigZr2LBhWLNmDRYuXIjLly/D398f0dHReOWVV9CiRQs17t5778XOnTsxbdo0zJw5EyaTCQMHDkRqaqp6pckhISEBJpMJb731Fj755BM0btwYixYtwpQpUzRxBoMBn376KaZPn47FixfDbrejW7duWL16NVq3bq2J7dSpEzIzM5GUlIRp06bBy8sLEydOxLx586rvzSEiIqI7jiIiUtOT0DvHPeC2Ty6%2BY57BOrH%2BJUSENMPGjRtreipERET/E8fn7/79%2B10uKl6dasUzWERERER6wgaLiIiIyM3YYBERERG5GRssIiIiIjdjg0VERETkZmywiIiIiNyMDRYRERGRm7HBIiIiInIzNlhEREREbsYGi4iIiMjN2GARERERuRkbLCIiIiI3Y4NFRERE5GZssIiIiIjcjA0WERERkZuxwSIiIiJyMzZYRERERG7GBouIiIjIzdhgEREREbkZGywiIiIiN2ODRURERORmbLCIiIiI3IwN1i0qLS1FUlISgoKCUK9ePXTv3h2ZmZk1PS0iIiKqRdhg3aKxY8di0aJFGD16NN555x14eHigf//%2B2LNnT01PjYiIiGoJNli3IDs7G%2BvXr8f8%2BfMxf/58PPXUU9ixYweaNm2KGTNm1PT0apV169bV9BRuK9arb6xX31gvVQc2WLdg48aN8PDwwMSJE9WxunXrYsKECdi7dy8KCgpqcHa1y932C8x69Y316hvrperABusW5OXlITg4GJ6enprxbt26qduJiIiI2GDdgqKiIthsNqdxm80GEUFhYWENzIqIiIhqGzZYt8But6Nu3bpO42azWd1ORERE5FHTE7iTWCwWXL9%2B3Wm8pKRE3e6Ko/H6cdsi1DG5jqlt7Od%2BxM%2BNzFizZs3/tH9%2Bfv7/vO9fYTAYUFlZeduP%2B1fqrak5/xUFBQU1cn7/ir/yPvPn%2Bc/jz/PtcSf%2BPPv5%2BcHf3/%2B2HvPbb78FUEMXQIT%2BtL59%2B8r999/vNL5jxw5RFEW2bt3qcr%2BMjAwBwBdffPHFF1981cArIyOjulsEJ7yCdQtCQkLw5Zdf4urVq5oH3bOysqAoCkJCQlzuFxkZiYyMDDRr1qzKq1xERETkXna7HT/%2B%2BCMiIyNv%2B7EVEZHbftQ7VHZ2Nrp3747U1FRMmzYNwG8ru7dv3x7%2B/v7YvXt3Dc%2BQiIiIagNewboF3bp1Q0xMDGbOnIkzZ86gVatWeO%2B993Dq1Cn885//rOnpERERUS3BK1i3qLS0FC%2B//DIyMjLwyy%2B/oGPHjpg7dy4iIiJqempERERUS7DBIiIiInIzroNFRERE5GZssKpRaWkpkpKSEBQUhHr16qF79%2B7IzMy8rXMoLi7G7NmzERUVBV9fXxgMBqxevdpl7NGjR9GvXz94eXnB19cXY8aMwfnz513Grlq1Cu3atYPFYkFwcDCWLFniMu7SpUuIj49HQEAAPD09ER4ejgMHDriM3bNnDx566CFYrVbYbDZMnToVxcXFTnEigjfeeAMtWrSAxWLBAw88gPfffx85OTmYPHky2rdvD09PTzRt2hRxcXE4fvy47moFgG%2B%2B%2BQaxsbFo2bIlrFYr/P390adPH2zdulWX9bqSkpICg8GAjh076q7mnTt3wmAwOL3q1KmD7OxsXdV6o9zcXAwePBi%2Bvr6wWq3o0KGD0xz1Uu/48eNdnmPHeS4qKtJVzSdOnMCIESPQuHFjWK1WtG3bFsnJyU5rVOmhVkcAVZMRI0aIyWSSpKQkWblypfTq1UuMRqPs3r37ts3hxx9/FEVRpFmzZhIeHi4Gg0H%2B9a9/OcXl5%2BeLn5%2BftG7dWpYsWSKvvfaa%2BPj4SKdOnaSsrEwTu2zZMlEURWJjYyU9PV3Gjh0riqLIG2%2B8oYmrrKyUnj17ipeXlyQnJ0taWpq0b99evL295cSJE5rYAwcOiMVikdDQUFm%2BfLm8/PLLYjabpX///k5zfeGFF0RRFPnb3/4m6enpMmjQIFEURR588EEJDAyUqVOnyqpVqyQlJUUaNWoknp6ecuTIEV3Vun79etm%2BfbtERUXJnDlzJD09Xd555x3p06ePKIoiK1eu1F29v5efny9Wq1W8vLykQ4cOTtvu9Jpnz54tiqLIc889J2vWrNG8Lly4oKtaHef33//%2Bt9StW1d69OghixYtkvT0dJk5c6YkJSXpst6srCync5uRkSFWq1XzM62HmtPS0uSee%2B6R5s2by%2Buvvy4rV66UJ598UhRFkaFDh%2BqqVsf5ZYNVTb7%2B%2BmtRFEUWLFigjpWUlEirVq2kV69et20epaWlcubMGRERycnJEUVRXDZYCQkJYrVaJT8/Xx3LzMx0%2BrC22%2B3i5%2BcngwcP1uz/xBNPiJeXl/z666/q2Pr160VRFNm8ebM6du7cOWnQoIE8/vjjmv2joqIkKChIrl69qo6lp6eLwWCQzz//XB0rKCgQk8kkiYmJmv179%2B4tDRs2lNLSUs348ePHxWw2y%2BjRo3VVa5MmTaSyslJ%2Br7KyUkJCQqRt27a6rzcuLk4iIiIkLCzMqcHSQ80BAQGiKIps2rRJbkYPtTZp0kQuXbokjRo1kujo6LuiXle/vyIiu3btEkVRZP78%2BbqquX79%2BmIwGOTbb7/VbBs7dqwYDAZ1bnqo1XF%2B2WBVk%2BnTp4vRaJQrV65oxl977TUxGAyaH57b5WYNVsOGDSUuLs5p/L777pO%2Bffuq32/fvl0MBoN89tlnmri9e/eKoiiyZs0adSw2NlZsNptTzqefflo8PT3VZujy5ctiNBrlhRde0MSVlpaKl5eXTJw4UR179913Xf6Srlu3TgwGg8urg6GhodKlS5e7olYRkUGDBmnmosd6d%2B7cKUajUQ4fPuyywdJDzYqiqA3WlStXpLy83OnYeqnVYDDI3//%2BdzEYDPLdd9%2BJiEhxcbHLJkQv9Vb1%2B5uQkCB16tSRU6dO6apmAGIwGDRXX0VEkpKSxMPDQ65du6abWh3nl89gVZO8vDwEBwdrVnwHfltLy7G9tigsLMTZs2fRpUsXp23dunXT3Kd2fB0aGqqJCw0NhcFgcIrt3Lmzy5zXrl3DsWPHAACHDh1CeXm5U06j0YiQkBBNzry8PFitVrRp08Ypp4i4vKd%2B5swZ%2BPn56bbWa9eu4cKFC/j%2B%2B%2B%2BxcOFCfPrpp%2BqyIXqst7KyEomJiZg4cSLuv/9%2BpznoqWbgt%2Bd0vL29YTabER4ejv379%2Buy1h07dsDb2xunT59GmzZt4OnpCW9vb0yaNEn9f8DqqV5X/60qLy/Hhg0b0KtXLzRp0kRXNQO/PbP05JNP4uDBg8jPz8f69euxbNkyTJ06FRaLRTe1Os4vG6xqUlRUBJvN5jRus9kgIigsLKyBWbnmeJCyqvlevHgRZWVlamydOnXUhsXBaDTC19dXU9fN3gMAamxRUREURaky9vc5GzZs%2BIc5HTIyMlBQUIARI0bottbnn38e/v7%2BaNWqFaZPn47HHnsMixcv1m29S5cuxU8//YTk5GSnWL3VfN999%2BHtt9/Gli1bkJKSgsOHD6N37944ePCg7motKChAWVkZhgwZgqioKGzevBkTJkzAsmXL8OSTT%2BquXlefAZ999hkuXLiAxx9/XJNHDzUrioLevXvj888/R6dOndCkSROMGjUKiYmJSE1N1VWtjpxcyb2a2O121K1b12ncbDar22sLx1z%2BaL5GoxF2ux0mk8llHrPZrKnrZu%2BBiKixf3T8P5vzxlzAb3%2BJMnnyZPTq1QtjxozRba3PPfccYmJiUFhYiA8%2B%2BAAVFRXqv/j1Vu/Fixcxe/ZsvPLKK/Dx8XE5V73UrCgKoqKiMG7cOADAwIEDMXz4cHTs2BEzZ87E9u3bdVMrAFy/fh12ux0JCQlYuHAhAGDo0KG4fv06VqxYgTlz5uiqXlefAWvXroXJZEJMTIwmz82O6Yi5E2q2WCzo06cPoqOj4ePjg23btiElJQWNGjXCpEmTdFWr3W5ng1VdLBaL%2BiF3o5KSEnV7beGYy5%2BZr8ViQWlpqcs8JSUlmrpu9h4oiqLJebPj/9mcN%2BY6c%2BYMBgwYgAYNGmDDhg1QFEW3tQYHByM4OBgA8MQTTyAyMhKDBw9GVlaW7up98cUX4evri8mTJ7uc55855o0xd0LNN2rZsiWGDBmCDz/8ECKiq1odH5aOq80Oo0aNwvLly7F37160bdtWN/X%2B/twWFxdjy5Yt6NevHxo0aKDJc7Nj3hhTm2t23AY%2BdeqUepVn6NChqKioQFJSEkaOHKmbWh3beYuwmthsNs0aJg6OscDAwNs9pSo5ftirmq%2BPjw%2BMRqMaW1FR4bQmSVlZGS5cuKCp68%2B%2BB47bplXF/j7nzz//fNOcly9fRr9%2B/XD58mV89tlnaNSokW5rdSU6Ohr79u3D8ePHdVWv0WjEypUrkZiYiIKCApw6dQo//vgjSkpKUFZWhlOnTuGXX37RVc2uznHjxo1RWlqK4uJiXdXq6%2BsLAE63XQICAgBA9%2Bf2ww8/hN1u19wedOTRS81NmjRxuv02ePBgXLt2DQcOHNBVrYGBgWywqktISAiOHTuGq1evasazsrKgKApCQkJqaGbOAgMD4e/vj5ycHKdt2dnZmrmGhIRARJxi9%2B3bh8rKSqfY3Nxcp5xZWVmoV6%2BeetWlffv28PDwcMpZVlaGvLw8p5zXrl3D0aNHnXIqioJ27dph4MCBOHHiBLZt24b77rtPt7VW9TPkuIx96dIlXdXr5%2BcHEUFiYiKaN2%2BO5s2bo0WLFvj666/x3XffoUWLFkhOTtZVza7O8cmTJ2E2m%2BHp6amrWrt27Qrgt2exbuR47iUgIEBX9f7%2B3K5Zswaenp4YNGiQZlwvNQOu79yUlZVBRFBeXq6bWtXz6/R3i%2BQWjnWw3nrrLXXs%2BvXr0rp1a%2BnZs2eNzOl/XQdrxYoV6pjdbhdfX1%2BXa494enrKL7/8oo6tX79eDAaDZh0fx9ojo0aN0ux/s7VH/vOf/6hj%2Bfn5YjKZZMqUKZr9H374Ybn33ntl8ODBYjKZnP50V2%2B1Nm7cWF3f7EZlZWXSuXNnsVqtUlxcrKt6z507Jx9//LHTq3379tKsWTPZsmWLHD58WDc1BwYGOi1TkJeXJyaTSYYNG6aO6aHWxo0bS25uriiKIk888YRm%2B8iRI8VkMklRUZGu6r3x3J47d06MRqOMGzdOXNFDzWazWcxmsxw/flyzbejQoeLh4aHL88sGqxrFxsaKyWSSGTNmyIoVK6Rnz55iMplk165dt3UeS5Yskblz50pCQoIoiiLDhw%2BXuXPnyty5c%2BXy5csiInL69Gnx9/eXVq1ayeLFi2XevHni4%2BMjISEhTot3pqWlicFgkJiYGElPT5cxY8aIwWDQLIwnIlJRUSE9evQQb29vmTNnjrp6bv369eXYsWOa2NzcXLFYLNK5c2dZtmyZvPjii2KxWCQqKsqpnhkzZojBYJCnn35a0tPTZcCAAWIwGCQqKkoURZEhQ4ZIRkaG08tBD7W%2B//77MmzYMHnkkUfkH//4h6Snp8vcuXOlbdu2YjAYZNGiRbqrtyqu1sHSQ83333%2B/DBgwQFJSUmTlypXy7LPPitVqFR8fHzl69KiuanWc3wkTJojBYJC4uDhJS0uTmJgYMRgM8tJLL%2BmyXofFixc7LWR5Iz3UPHv2bDEajdKwYUN1NfWoqCg1Vk%2B1Os4vG6xqdP36dZkxY4YEBgaKxWKRBx98sMpfoOrUrFkzMRgMLl83Lmb3zTffSL9%2B/cTT01N8fHxkzJgxcvbsWZc509PTpW3btmI2m6V169byzjvvuIz79ddfZeLEieLv7y%2Benp4SHh4uubm5LmN3794tDz30kNSrV08aNmwoiYmJmn9F3Gj%2B/PnSvHlzMZvN0qFDB1m3bp2EhYVVWafBYNDsf6fXKvLbv8oeffRRsdlsYjKZxNfXVx599FHZunWrUw491FuVsLAw6dixo%2B5qXrx4sXTv3l38/PzEZDJJUFCQjB07Vk6ePKm7Wh3Ky8tlzpw50rx5c6lbt64EBwe7nJ9e6nXo0aOH2Gy2Kld310vN%2B/btkwEDBkhgYKDUrVtX2rRpI/Pnz5eKigrd1Soiooj8/9XsiIiIiMgt%2BJA7ERERkZuxwSIiIiJyMzZYRERERG7GBouIiIjIzdhgEREREbkZGywiIiIiN2ODRURERORmbLCIiIiI3IwNFhEREZGbscEiIiIicjM2WERERERuxgaLiIiIyM3YYBERERG5GRssIiIiIjdjg0VERETkZmywiIiIiNyMDRYRERGRm7HBIiIiInIzNlhEREREbvb/APBbxr68a1B%2BAAAAAElFTkSuQmCC\"/>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common7270850834030152091\">\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">358992</td>\n",
-       "        <td class=\"number\">83.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">228.0</td>\n",
-       "        <td class=\"number\">1024</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">222.0</td>\n",
-       "        <td class=\"number\">876</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">193.0</td>\n",
-       "        <td class=\"number\">528</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">298.0</td>\n",
-       "        <td class=\"number\">502</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">220.0</td>\n",
-       "        <td class=\"number\">476</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">301.0</td>\n",
-       "        <td class=\"number\">442</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">313.0</td>\n",
-       "        <td class=\"number\">439</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">304.0</td>\n",
-       "        <td class=\"number\">433</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">121.0</td>\n",
-       "        <td class=\"number\">431</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (4272)</td>\n",
-       "        <td class=\"number\">63619</td>\n",
-       "        <td class=\"number\">14.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme7270850834030152091\">\n",
-       "            <p class=\"h4\">Minimum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">358992</td>\n",
-       "        <td class=\"number\">83.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2.0</td>\n",
-       "        <td class=\"number\">181</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">3.0</td>\n",
-       "        <td class=\"number\">187</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">4.0</td>\n",
-       "        <td class=\"number\">90</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "            <p class=\"h4\">Maximum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">368367.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">392213.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">534273.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">547586.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">749606.0</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">STREETNAME<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>7387</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>1.7%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable6856523160014449215\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>ADDRESS UNASSIGNED</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 2.7%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        11598\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>YORK AVE S</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.5%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2338\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>11TH AVE S</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.5%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2205\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (7384)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 96.2%\">\n",
-       "            411621\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable6856523160014449215, #minifreqtable6856523160014449215\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable6856523160014449215\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">ADDRESS UNASSIGNED</td>\n",
-       "        <td class=\"number\">11598</td>\n",
-       "        <td class=\"number\">2.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">YORK AVE S</td>\n",
-       "        <td class=\"number\">2338</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">11TH AVE S</td>\n",
-       "        <td class=\"number\">2205</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PORTLAND AVE S</td>\n",
-       "        <td class=\"number\">1949</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">3RD AVE S</td>\n",
-       "        <td class=\"number\">1682</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">10TH AVE S</td>\n",
-       "        <td class=\"number\">1547</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">BRYANT AVE S</td>\n",
-       "        <td class=\"number\">1528</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">LYNDALE AVE S</td>\n",
-       "        <td class=\"number\">1502</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">15TH AVE S</td>\n",
-       "        <td class=\"number\">1322</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PARK AVE</td>\n",
-       "        <td class=\"number\">1297</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (7377)</td>\n",
-       "        <td class=\"number\">400794</td>\n",
-       "        <td class=\"number\">93.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>STREETTYPE</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>SUFFIX_DIR</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>Shape_Area</code></s><br/>\n",
-       "            <small>Highly correlated</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is highly correlated with <code>ACRES_POLY</code> and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Correlation</th>\n",
-       "            <td>1</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">Shape_Le_1<br/>\n",
-       "            <small>Numeric</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>364358</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>85.2%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "\n",
-       "                <tr>\n",
-       "                    <th>Mean</th>\n",
-       "                    <td>217.78</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>0.91772</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>35812</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Zeros (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram806169550977593703\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABQVJREFUeJzt2k1oE3kcxvHHbNgl0MWV7ZugmdhkUsUgCC3FFqGVoIjnVRA91IMX29OC4KoQtSBevIjexFoKi9oeLCh4ECy9%2BAIKrlrc9WUaYaXVZk8aK0mfvayzll1%2BbSOdsfT5QC75z/D/Ff5f2mkChqC/v58A9NJrXq/%2B/v7Az2oUIUgkEgCAQ4cOIR6Pz%2BmeFStWwHXdBZxKvlajo6PYs2ePf26CFEogsVgMAHDy5Mk53/NNNIrfHj7EunXrFmos%2Bcp9OjdBCiWQT5I/5RCrScx63dRff%2BKPX39BoVBY%2BKFEPhNqIN9%2B/yO%2B%2B6Fu1utY%2BhjANCL/FQl7AJGvmQIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARgwIRMSgQEYMCETEoEBGDAhExKBARQzSMTYvFIgDg976fsSwye6OcngYAPHjwAJ7nzXmfSCSC6X/uXah7tMfc76murkZNTc289gCA0dFRAP%2BemyCFEsinQ14ufZzXfd3d3QswjSwWnuehra0t0D2XkWSgOwJ4%2B/Ytbty4gUQigVgsFvT2ssgUi0V4nodt27ahuro60L1DCURksdBDuohBgYgYAg/k2bNnaGtrQ2NjI1paWvz/UMjScOHCBUQiEQwNDQEA3rx5g%2B3btyOdTmPDhg0YGRnxry0Wi9i9ezdc18XatWsxODjor5FEd3c3UqkU0uk0zp49O2Ofnp4epFIpuK6LI0eOVD4wA7Zlyxb29fWRJAcGBtjc3Bz0CBISz/PY2trK1tZWXr16lSS5b98%2BHjt2jCR57949rlq1iqVSiSR5/PhxdnZ2kiRfvnzJ2tpaFgoFkuTFixeZzWZJkoVCgY7j8MmTJyTJ4eFhZjIZFotFTk1NsampidevX69o5kADmZiY4PLly1kul/336uvr%2Bfz58yDHkBBMT08zm83y/v37bG9v9wOpqqri%2BPi4f11LSwtv3rxJkly/fj3v3Lnjr%2B3cuZPnz58nSe7YsYOXLl3y1w4ePMijR4%2BSJA8cOMBTp075a%2BfOnePevXsrmjvQP7FevXqFlStXIvLZh4PxeBz5fD7IMSQEp0%2BfxubNm7Fx40b/vUKhgFKphNraWv89x3H885DP5%2BE4jr%2BWSCS%2BeG2%2BQvmgUJaWx48fY3BwcMbzxWIR6G%2BQ1atX4/Xr1zO%2BnpDP5xGPx4McQwI2MjKCsbExuK6LNWvW4Pbt29i/fz8uX76MaDSKiYkJ/1rP8/zz4DgOxsbG/nctHo9XtDZvFf1h9gU6OjrY29tLkrxy5Yoe0peg9vZ2Dg0NkSQ7OzuZy%2BVIknfv3p3xkJ7L5fyH9BcvXrCuro6Tk5Mkyd7eXmazWZbLZU5OTtJxHD569IgkeevWLWYyGb5//54fPnxgU1MTr127VtGsgQfy9OlTbtq0iel0ms3Nzf4PJUtHR0eH/5A%2BPj7OrVu30nVdZjIZDg8P%2B9e9e/eOu3btYjKZZGNjIwcGBvy1crnMrq4uNjQ0MJVK8cyZMzP2OHHiBBsaGphMJnn48OGKZ9VXTUQM%2BiRdxKBARAwKRMSgQEQMCkTEoEBEDApExKBARAwKRMSgQEQMCkTEoEBEDH8D0UQseSZMU34AAAAASUVORK5CYII%3D\">\n",
-       "\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives806169550977593703,#minihistogram806169550977593703\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives806169550977593703\">\n",
-       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
-       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles806169550977593703\"\n",
-       "                                                  aria-controls=\"quantiles806169550977593703\" role=\"tab\"\n",
-       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#histogram806169550977593703\" aria-controls=\"histogram806169550977593703\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#common806169550977593703\" aria-controls=\"common806169550977593703\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#extreme806169550977593703\" aria-controls=\"extreme806169550977593703\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
-       "\n",
-       "    </ul>\n",
-       "\n",
-       "    <div class=\"tab-content\">\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles806169550977593703\">\n",
-       "            <div class=\"col-md-4 col-md-offset-1\">\n",
-       "                <p class=\"h4\">Quantile statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Minimum</th>\n",
-       "                        <td>0.91772</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>5-th percentile</th>\n",
-       "                        <td>73.833</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q1</th>\n",
-       "                        <td>108.26</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Median</th>\n",
-       "                        <td>136.39</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q3</th>\n",
-       "                        <td>201.33</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>95-th percentile</th>\n",
-       "                        <td>638.25</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Maximum</th>\n",
-       "                        <td>35812</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Range</th>\n",
-       "                        <td>35811</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Interquartile range</th>\n",
-       "                        <td>93.065</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "            <div class=\"col-md-4 col-md-offset-2\">\n",
-       "                <p class=\"h4\">Descriptive statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Standard deviation</th>\n",
-       "                        <td>283.67</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Coef of variation</th>\n",
-       "                        <td>1.3026</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Kurtosis</th>\n",
-       "                        <td>1496</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Mean</th>\n",
-       "                        <td>217.78</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>MAD</th>\n",
-       "                        <td>140.25</td>\n",
-       "                    </tr>\n",
-       "                    <tr class=\"\">\n",
-       "                        <th>Skewness</th>\n",
-       "                        <td>18.321</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Sum</th>\n",
-       "                        <td>93158000</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Variance</th>\n",
-       "                        <td>80470</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Memory size</th>\n",
-       "                        <td>3.3 MiB</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram806169550977593703\">\n",
-       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtUVOe9PvBnhgEZB0QZvAxIbFSoQRNRkNOqUUogICouGxjFCNUYMRgElYMm5qInHqwoIlYDYktaKaJRUImxaoLVeCURgaM1RUMTEy4Tk5EGuQzX2b8/XOyfOwNemgECPp%2B1XIZ3P/v7vrPzh9%2B19%2BYdmSAIAoiIiIjIbOTdvQAiIiKi3oYNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmbLCIiIiIzIwNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMzYYBERERGZGRssIiIiIjPrsgYrPj4ecrkczzzzjGR84cKFkMvlJn/c3NzarZOeng43NzcolUq4urpix44d7eaqq6sRERGBQYMGwcbGBj4%2BPigqKmo3e%2BHCBUyePBkqlQoajQYxMTGoq6szyQmCgE2bNmH48OFQKpUYO3Ys9u3b94hXgoiIiHo7RVdMUlFRgd///vewsbFp97i1tTXS09MhCII4ZmdnZ5JLS0tDZGQkQkJCEBsbi7NnzyI6OhoGgwFxcXFiThAEBAYG4urVq1i1ahXUajVSUlLg7e2NwsJCjBgxQswWFxfD19cXbm5u2Lp1K8rLy7F582aUlpbi6NGjkvnXrFmDhIQELFmyBJ6ensjNzcW8efMgl8uh1Wp/6mUiIiKi3kLoAnPmzBF8fX0Fb29v4emnn5YcW7BggWBra/vAGgaDQXBwcBCCgoIk4/PnzxdsbW2FH374QRx7//33BZlMJhw8eFAc%2B/7774UBAwYIL774ouT8adOmCU5OTkJtba049qc//UmQy%2BXCxx9/LI5VVFQIVlZWQnR0tOT8KVOmCE888YRgNBof%2BBmIiIjo8dDpjwjPnDmDgwcPIjk5%2Bb45o9GImpqaDo%2BfOnUKVVVVWLp0qWT81VdfRW1treRuU05ODoYMGYLZs2eLYw4ODtBqtcjNzUVzczMAoKamBnl5eQgLC4NKpRKz4eHhUKlU2L9/vzh2%2BPBhtLS0IDIyUjJ/ZGQkysvLcfHixft%2BPiIiInp8dGqDZTQaER0djcWLF2P06NEd5urr69GvXz/Y2dlBrVYjKirK5B2otvenPDw8JOMeHh6Qy%2BWS96uKioowfvx4k3m8vLxQX1%2BPGzduAACuXr2KlpYWk5qWlpZwd3eX1CwuLoZKpcKoUaNMagqC0OH7XURERPT46dR3sFJTU/HNN9/g73//e4cZR0dHrFq1CuPHj4fRaMTx48eRkpKCK1eu4PTp05DL7/aAOp0OFhYWcHBwkJxvaWkJtVqNyspKcUyn02Hq1Kkmc2k0GgBAZWUlRo8eDZ1OB5lMJo7/OHvu3DlJzcGDB9%2B3JhERERHQiQ1WVVUV1q5di7fffhv29vYd5uLj4yU/a7VauLi44M0330R2drb48rjBYICVlVW7NaytrWEwGMSfDQYD%2BvTp025OEAQx2/Z3R9mHrXlvLSIiIqJOa7DeeOMN8XHfo1qxYgXeeust5OXliQ2WUqlEU1NTu/mGhgYolUrxZ6VSicbGxnZzMplMzLb93VH2YWveW6s9er0eJ06cwC9%2B8Yv75oiIiMh8DAYDbt68CX9/f5MnYJ2tUxqs0tJS/PGPf8S2bdtQUVEB4O7WCQ0NDWhubsbXX3%2BNfv36YcCAAe2eb21tDbVajaqqKnFMo9GgtbUVer1ecpGam5tx%2B/ZtODo6SrI6nc6kbttYW1aj0UAQhA6zP655%2BvTpB9Zsz4kTJzB//vwOjxMREVHnyczMxIsvvtilc3ZKg1VRUQFBEBAdHY1ly5aZHB8%2BfDhiYmKQlJTU7vm1tbXQ6/UYOHCgOObu7g5BEFBQUICAgABx/NKlSzAajXB3d5dk731/qk1%2Bfj769u0LV1dXAMCYMWOgUChQUFCA4OBgMdfc3Izi4mLMmTNHUjM9PR0lJSWSF93z8/Mhk8kk8//YL37xCwB3/wc/9dRTHeZ6kxUrVmDr1q3dvYwuw8/bu/Hz9m78vL3XP//5T8yfP1/8d7grdUqDNWbMGBw6dMhk/I033kBtbS3%2B8Ic/YPjw4WhsbERzc7PJBqTvvPMOAGDatGnimI%2BPD%2Bzt7ZGamippsFJTU6FSqTB9%2BnRxLDg4GDk5OTh48CB%2B%2B9vfArj7mC47OxtBQUGwtLQEAPTr1w%2B%2Bvr7IzMzEW2%2B9JW7VkJGRgbq6OsnmobNmzcKKFSuQkpKCP/zhD%2BL4zp074eTkhIkTJ3Z4PdoeCz711FPt/nZjb2RnZ/fYfFaAn7e34%2Bft3fh5e7/ueD2nUxostVqNoKAgk/GtW7dCJpNh5syZAICvv/4a48aNQ2hoqHhX6Pjx4zh27BgCAwMlNaytrbF%2B/XpERUVBq9XC398fZ86cQVZWFjZs2ID%2B/fuL2eDgYCQnJ2PhwoW4du0aHBwckJKSAqPRiHXr1knWFB8fj0mTJmHKlCmIiIhAWVkZkpKS4O/vDz8/PzHn5OSE5cuXIzExEU1NTZgwYQIOHTqE8%2BfPIysrCzKZzJyXkIiIiHqwLvmqnHvd24j0798fM2fORF5eHjIyMtDa2oqRI0di48aNiI2NNTk3MjISVlZW2LJlC44cOQJnZ2ckJyebPIaUy%2BU4duwY4uLisH37dhgMBnh5eSEjIwMuLi6S7Lhx45CXl4fVq1dj5cqVsLW1xeLFi7FhwwaT%2BRMSEmBvb4%2B0tDTs3r0bLi4u2LNnj%2BRRIhEREVGXNlinTp2S/GxnZ4fdu3c/Uo1FixZh0aJFD8zZ2dlh165d2LVr1wOzEydOxNmzZx9q/tWrV2P16tUPlSUiIqLHU6d/VQ49nkJDQ7t7CV2Kn7d34%2Bft3fh5qTPIBEEQunsRvV1hYSE8PDxw%2BfLlx%2B7FQiIiou7Snf/%2B8g4WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmXf5VOY%2BziIglsLW17e5lPNCbb76B5557rruXQURE1GOxwepCN6qMUBiM3b2M%2B6r95greffddNlhEREQ/ARusLjT0NwvRd8jI7l7GfZW%2B/3Z3L4GIiKjH4ztYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmbLCIiIiIzIwNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMy6rMGKj4%2BHXC7HM888Y3KspKQEAQEBsLW1hVqtRnh4OPR6fbt10tPT4ebmBqVSCVdXV%2BzYsaPdXHV1NSIiIjBo0CDY2NjAx8cHRUVF7WYvXLiAyZMnQ6VSQaPRICYmBnV1dSY5QRCwadMmDB8%2BHEqlEmPHjsW%2Bffse4SoQERHR46BLGqyKigr8/ve/h42NTbvHnn32WXz55ZfYuHEj4uLicPToUTz//PNoaWmRZNPS0rB48WI8/fTT2LFjByZOnIjo6Ghs3rxZkhMEAYGBgdi3b594/Pvvv4e3tzf%2B9a9/SbLFxcXw9fVFQ0MDtm7disWLF2PXrl3QarUma12zZg1ee%2B01%2BPv7Y8eOHRg2bBjmzZuH/fv3m%2BEqERERUW/RJV/2HBsbi1//%2BtdoaWnB7du3Jcfi4%2BNhMBhQXFwMJycnAMCECRPg5%2BeHv/zlL3j55ZcBAA0NDXjzzTcxc%2BZMvP/%2B%2BwCARYsWobW1FevXr0dERATs7OwAAAcOHMDFixeRk5OD2bNnAwBCQkLg6uqKtWvXIjMzU5x/zZo1sLe3xyeffAKVSgUAGDZsGCIiIpCXlwdfX18AQGVlJZKSkrBs2TJs27ZNnH/q1KmIi4tDSEgIZDJZZ11CIiIi6kE6/Q7WmTNncPDgQSQnJ7d7/ODBg5gxY4bYXAHAc889B1dXV8mdoVOnTqGqqgpLly6VnP/qq6%2BitrYWR48eFcdycnIwZMgQsbkCAAcHB2i1WuTm5qK5uRkAUFNTg7y8PISFhYnNFQCEh4dDpVJJ5j98%2BDBaWloQGRkpmT8yMhLl5eW4ePHio1wWIiIi6sU6tcEyGo2Ijo7G4sWLMXr0aJPjlZWV%2BO677%2BDp6WlyzMvLS/LOVNt/e3h4SHIeHh6Qy%2BUm2fHjx7dbs76%2BHjdu3AAAXL16FS0tLSY1LS0t4e7uLqlZXFwMlUqFUaNGmdQUBKHD97uIiIjo8dOpDVZqaiq%2B%2BeYbrF%2B/vt3jOp0OAKDRaEyOaTQaVFVViXebdDodLCws4ODgIMlZWlpCrVajsrJSUrejmgDErE6ng0wm6zD745qDBw9%2BYE0iIiKiTmuwqqqqsHbtWrz99tuwt7dvN2MwGAAAffr0MTlmbW0tyRgMBlhZWbVbx9raWsy1ZTuqKQiCpOb95n/YmvfWIiIiIuq0BuuNN96AWq1GVFRUhxmlUgkAaGxsNDnW0NAgySiVSjQ1NbVbp6GhQcy1ZTuqKZPJJDXvN//D1ry3FhEREVGn/BZhaWkp/vjHP2Lbtm2oqKgAcHfrhIaGBjQ3N%2BPrr79Gv379xMdrbY8K76XT6WBvbw9LS0sAdx/Ftba2Qq/XSx4TNjc34/bt23B0dBTHNBpNhzUBiFmNRgNBEDrM/rjm6dOnH1jzfso%2BToOFtUoyZu/mDfvR3g88l4iIiDq2d%2B9e7N27VzJWXV3dTavppAaroqICgiAgOjoay5YtMzk%2BfPhwxMTEICkpCQMHDkRBQYFJ5rPPPoO7u7v4s7u7OwRBQEFBAQICAsTxS5cuwWg0mmTPnTtnUjM/Px99%2B/aFq6srAGDMmDFQKBQoKChAcHCwmGtubkZxcTHmzJkjqZmeno6SkhLJi%2B75%2BfmQyWSS%2BTvi7LcEfYeMfGCOiIiIHk1oaChCQ0MlY4WFhSa/yNZVOuUR4ZgxY3Do0CEcOnQIhw8fFv%2BMHj0aw4YNw%2BHDh7Fo0SIAwAsvvIAPP/xQvNMFACdPnsSNGzckm336%2BPjA3t4eqampkrlSU1OhUqkwffp0cSw4OBi3bt3CwYMHxTG9Xo/s7GwEBQWJd8X69esHX19fZGZmSnZuz8jIQF1dnWT%2BWbNmQaFQICUlRTL/zp074eTkhIkTJ/6US0ZERES9SKfcwVKr1QgKCjIZ37p1K2QyGWbOnCmOrVmzBtnZ2fD29kZMTAxqamqQmJiIsWPHYsGCBWLO2toa69evR1RUFLRaLfz9/XHmzBlkZWVhw4YN6N%2B/v5gNDg5GcnIyFi5ciGvXrsHBwQEpKSkwGo1Yt26dZE3x8fGYNGkSpkyZgoiICJSVlSEpKQn%2B/v7w8/MTc05OTli%2BfDkSExPR1NSECRMm4NChQzh//jyysrK4ySgRERGJumQn93v9uBEZOnQoPvnkE6xcuRKvv/46rKysMGPGDCQmJop3mtpERkbCysoKW7ZswZEjR%2BDs7Izk5GSTx5ByuRzHjh1DXFwctm/fDoPBAC8vL2RkZMDFxUWSHTduHPLy8rB69WqsXLkStra2WLx4MTZs2GCy9oSEBNjb2yMtLQ27d%2B%2BGi4sL9uzZI3mUSERERCQTBEHo7kX0dm3PgJ96afvP/h2s0vffhs8zQyWPV4mIiHqitn9/L1%2B%2B3O4G5J2pS77smYiIiOhxwgaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmndZgff7559BqtRgxYgRUKhUGDhyIqVOn4sMPP5TkFi5cCLlcbvLHzc2t3brp6elwc3ODUqmEq6srduzY0W6uuroaERERGDRoEGxsbODj44OioqJ2sxcuXMDkyZOhUqmg0WgQExODuro6k5wgCNi0aROGDx8OpVKJsWPHYt%2B%2BfY94ZYiIiKi3U3RW4a%2B//hq1tbVYsGABHB0dUV9fj5ycHAQFBWHXrl14%2BeWXxay1tTXS09MhCII4ZmdnZ1IzLS0NkZGRCAkJQWxsLM6ePYvo6GgYDAbExcWJOUEQEBgYiKtXr2LVqlVQq9VISUmBt7c3CgsLMWLECDFbXFwMX19fuLm5YevWrSgvL8fmzZtRWlqKo0ePSuZfs2YNEhISsGTJEnh6eiI3Nxfz5s2DXC6HVqs15%2BUjIiKiHkwm3NvVdDJBEDB%2B/Hg0Njbi888/B3D3DlZOTg7u3Llz33MbGhrg7OyMiRMnIjc3VxwPCwtDbm4uysrKxKZs//79mDt3LnJycjB79mwAgF6vh6urKwIDA5GZmSmeHxgYiCtXruD69etQqVQA7t4li4iIwIkTJ%2BDr6wsAqKysxJNPPolXXnkF27ZtE8%2BfOnUqbt68iZs3b0Imk7W79sLCQnh4eOCpl7aj75CRj3rZulTp%2B2/D55mhOHjwYHcvhYiI6Cdp%2B/f38uXLGD9%2BfJfO3aXvYMlkMjg7O%2BOHH34wOWY0GlFTU9PhuadOnUJVVRWWLl0qGX/11VdRW1sruduUk5ODIUOGiM0VADg4OECr1SI3NxfNzc0AgJqaGuTl5SEsLExsrgAgPDwcKpUK%2B/fvF8cOHz6MlpYWREZGSuaPjIxEeXk5Ll68%2BJBXgYiIiHq7Tm%2Bw6uvrcfv2bXz55ZfYunUrjh07Jt4VujfTr18/2NnZQa1WIyoqyuQdqLb3pzw8PCTjHh4ekMvlkverioqK2u1Uvby8UF9fjxs3bgAArl69ipaWFpOalpaWcHd3l9QsLi6GSqXCqFGjTGoKgtDh%2B11ERET0%2BOm0d7DaxMbGIi0tDQAgl8vxwgsvYPv27eJxR0dHrFq1CuPHj4fRaMTx48eRkpKCK1eu4PTp05DL7/aAOp0OFhYWcHBwkNS3tLSEWq1GZWWlOKbT6TB16lSTtWg0GgB3H/eNHj0aOp0OMplMHP9x9ty5c5KagwcPvm9NIiIiIqALGqwVK1YgJCQElZWV2L9/P1pbW9HY2Cgej4%2BPl%2BS1Wi1cXFzw5ptvIjs7W3x53GAwwMrKqt05rK2tYTAYxJ8NBgP69OnTbk4QBDHb9ndH2YeteW8tIiIiok5/ROjq6gofHx/Mnz8fH3zwAWpqahAUFHTfc1asWAGZTIa8vDxxTKlUoqmpqd18Q0MDlEqlJHtvE3dvTiaTidm2vzvKPmzNe2sRERERdfodrB8LDg7GK6%2B8gi%2B%2B%2BAIuLi7tZqytraFWq1FVVSWOaTQatLa2Qq/XSx4TNjc34/bt23B0dJRkdTqdSd22sbasRqOBIAgdZn9c8/Tp0w%2BseT9lH6fBwlolGbN384b9aO8HnktEREQd27t3L/bu3SsZq66u7qbVdEOD1fYo7X4fura2Fnq9HgMHDhTH3N3dIQgCCgoKEBAQII5funQJRqMR7u7ukuy970%2B1yc/PR9%2B%2BfeHq6goAGDNmDBQKBQoKChAcHCzmmpubUVxcjDlz5khqpqeno6SkRPKie35%2BPmQymWT%2Bjjj7LfnZb9NARETUE4WGhiI0NFQy1rZNQ3fotEeE33//vclYS0sLdu/eDaVSCTc3NzQ2NqK2ttYk98477wAApk2bJo75%2BPjA3t4eqampkmxqaipUKhWmT58ujgUHB%2BPWrVuSvZz0ej2ys7MRFBQES0tLAEC/fv3g6%2BuLzMxMyW8tZmRkoK6uTrJ56KxZs6BQKJCSkiKZf%2BfOnXBycsLEiRMf6roQERFR79dpd7CWLFmCO3fuYMqUKXBycsK3336LPXv24Pr160hKSkLfvn3x9ddfY9y4cQgNDRXvCh0/fhzHjh1DYGCg5F0ta2trrF%2B/HlFRUdBqtfD398eZM2eQlZWFDRs2oH///mI2ODgYycnJWLhwIa5duwYHBwekpKTAaDRi3bp1knXGx8dj0qRJmDJlCiIiIlBWVoakpCT4%2B/vDz89PzDk5OWH58uVITExEU1MTJkyYgEOHDuH8%2BfPIysrqcJNRIiIievx0WoM1d%2B5cpKenY%2BfOnbh9%2BzZsbW3h4eGBzZs3i3eb%2Bvfvj5kzZyIvLw8ZGRlobW3FyJEjsXHjRsTGxprUjIyMhJWVFbZs2YIjR47A2dkZycnJWLZsmSQnl8tx7NgxxMXFYfv27TAYDPDy8kJGRobJe1/jxo1DXl4eVq9ejZUrV8LW1haLFy/Ghg0bTOZPSEiAvb090tLSsHv3bri4uGDPnj2SR4lEREREXfpVOY8rflUOERFR13tsviqHiIiI6HHABouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmbLCIiIiIzIwNFhEREZGZscEiIiIiMjM2WERERERmxgaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMrNMarM8//xxarRYjRoyASqXCwIEDMXXqVHz44Ycm2ZKSEgQEBMDW1hZqtRrh4eHQ6/Xt1k1PT4ebmxuUSiVcXV2xY8eOdnPV1dWIiIjAoEGDYGNjAx8fHxQVFbWbvXDhAiZPngyVSgWNRoOYmBjU1dWZ5ARBwKZNmzB8%2BHAolUqMHTsW%2B/bte4SrQkRERI%2BDTmuwvv76a9TW1mLBggX4wx/%2BgLfffhsymQxBQUH405/%2BJOYqKirw7LPP4ssvv8TGjRsRFxeHo0eP4vnnn0dLS4ukZlpaGhYvXoynn34aO3bswMSJExEdHY3NmzdLcoIgIDAwEPv27ROPf//99/D29sa//vUvSba4uBi%2Bvr5oaGjA1q1bsXjxYuzatQtardbkM61ZswavvfYa/P39sWPHDgwbNgzz5s3D/v37zXjliIiIqKeTCYIgdNVkgiBg/PjxaGxsxOeffw4AWLp0KTIyMnD9%2BnU4OTkBAE6ePAk/Pz/s2rULL7/8MgCgoaEBzs7OmDhxInJzc8WaYWFhyM3NRVlZGezs7AAA%2B/fvx9y5c5GTk4PZs2cDAPR6PVxdXREYGIjMzEzx/MDAQFy5cgXXr1%2BHSqUCcPcuWUREBE6cOAFfX18AQGVlJZ588km88sor2LZtm3j%2B1KlTcfPmTdy8eRMymazdz11YWAgPDw889dJ29B0y0izXsrOUvv82fJ4ZioMHD3b3UoiIiH6Stn9/L1%2B%2BjPHjx3fp3F36DpZMJoOzszN%2B%2BOEHcezgwYOYMWOG2FwBwHPPPQdXV1fJnaFTp06hqqoKS5culdR89dVXUVtbi6NHj4pjOTk5GDJkiNhcAYCDgwO0Wi1yc3PR3NwMAKipqUFeXh7CwsLE5goAwsPDoVKpJPMfPnwYLS0tiIyMlMwfGRmJ8vJyXLx48T%2B9LERERNTLdHqDVV9fj9u3b%2BPLL7/E1q1bcezYMcldoe%2B%2B%2Bw6enp4m53l5eUnemWr7bw8PD0nOw8MDcrncJNtep%2Brl5YX6%2BnrcuHEDAHD16lW0tLSY1LS0tIS7u7ukZnFxMVQqFUaNGmVSUxCEDt/vIiIiosdPpzdYsbGxGDhwIEaOHIm4uDj89re/xfbt2wEAOp0OAKDRaEzO02g0qKqqEu826XQ6WFhYwMHBQZKztLSEWq1GZWWlOKbT6TqsCUDM6nQ6yGSyDrM/rjl48OAH1iQiIiJSdPYEK1asQEhICCorK7F//360traisbERAGAwGAAAffr0MTnP2tpazFhaWsJgMMDKyqrdOaytrcVabed0VFMQBDH7oPkftua9tYiIiIg6/Q6Wq6srfHx8MH/%2BfHzwwQeoqalBUFAQAECpVAKA2HDdq6GhQZJRKpVoampqd46GhgYx15btqKZMJpPUvN/8D1vz3lpEREREnX4H68eCg4Pxyiuv4IsvvhAfr7U9KryXTqeDvb09LC0tAdx9FNfa2gq9Xi95TNjc3Izbt2/D0dFRHNNoNB3WBCBmNRoNBEHoMPvjmqdPn35gzfsp%2BzgNFtYqyZi9mzfsR3s/8FwiIiLq2N69e7F3717JWHV1dTetphsarLZHadXV1XBxccHAgQNRUFBgkvvss8/g7u4u/uzu7g5BEFBQUICAgABx/NKlSzAajSbZc%2BfOmdTMz89H37594erqCgAYM2YMFAoFCgoKEBwcLOaam5tRXFyMOXPmSGqmp6ejpKRE8qJ7fn4%2BZDKZZP6OOPst%2Bdlv00BERNQThYaGIjQ0VDLWtk1Dd%2Bi0R4Tff/%2B9yVhLSwt2794NpVIJNzc3AMALL7yADz/8EBUVFWLu5MmTuHHjhmSzTx8fH9jb2yM1NVVSMzU1FSqVCtOnTxfHgoODcevWLcleTnq9HtnZ2QgKChLvivXr1w%2B%2Bvr7IzMyU7NyekZGBuro6yfyzZs2CQqFASkqKZP6dO3fCyckJEydOfKTrQ0RERL1Xp93BWrJkCe7cuYMpU6bAyckJ3377Lfbs2YPr168jKSkJffv2BXB3d/Ts7Gx4e3sjJiYGNTU1SExMxNixY7FgwQKxnrW1NdavX4%2BoqChotVr4%2B/vjzJkzyMrKwoYNG9C/f38xGxwcjOTkZCxcuBDXrl2Dg4MDUlJSYDQasW7dOsk64%2BPjMWnSJEyZMgUREREoKytDUlIS/P394efnJ%2BacnJywfPlyJCYmoqmpCRMmTMChQ4dw/vx5ZGVldbjJKBERET1%2BOq3Bmjt3LtLT07Fz507cvn0btra28PDwwObNmyV3m4YOHYpPPvkEK1euxOuvvw4rKyvMmDEDiYmJ4p2mNpGRkbCyssKWLVtw5MgRODs7Izk5GcuWLZPk5HI5jh07hri4OGzfvh0GgwE3LXQtAAAgAElEQVReXl7IyMiAi4uLJDtu3Djk5eVh9erVWLlyJWxtbbF48WJs2LDB5DMlJCTA3t4eaWlp2L17N1xcXLBnzx7Jo0QiIiKiLv2qnMcVvyqHiIio6z02X5VDRERE9Dhgg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM5DNnzsT%2B/fvR2NjY3WshIiIi6hXkn3/%2BOebOnYvBgwdj0aJFOH36dHeviYiIiKhHk//rX//C%2BfPn8eKLL%2BLIkSN47rnn8MQTT%2BD111/HP/7xj%2B5eHxEREVGPIweAX//613j33Xeh0%2BnwwQcfYNKkSdi%2BfTvGjh0Ld3d3JCUlQafTdfdaiYiIiHoEyUvuFhYWmD59Ovbu3Yvy8nIEBwfjypUriIuLwxNPPIGAgACcOHGiu9ZKRERE1COY/BZhfn4%2BoqKi4OrqigMHDuCpp55CfHw8Nm7ciLKyMgQGBuJ//ud/umOtRERERD2CAgBu3LiBzMxMZGVl4auvvoKDgwNCQ0MRFhYGT09PMRwbG4tFixZh%2B/btWLt2bbctmoiIiOjnTOHp6YmioiJYWVlhxowZ2Lp1K6ZNmwaFQtHuCb6%2Bvvjzn//cxcskIiIi6jkU1tbWSElJwZw5c9C/f/8HnhAUFIQvvviiC5ZGRERE1DMpzp0790gnqFQqjBgxopOWQ0RERNTzyYuLi5GWltZhYNeuXbhy5UoXLomIiIioZ5OvWbMGx44d6zBw4sQJvPHGG124JCIiIqKeTV5QUIApU6Z0GHj22Wdx6dKlLlwSERERUc8mr6mpgZWVVYcBCwsLVFdXd%2BGSiIiIiHo2uYuLCz7%2B%2BOMOAx999BGefPLJRy5cUFCAqKgojBkzBjY2Nhg2bBjmzJlj8huICxcuhFwuN/nj5ubWbt309HS4ublBqVTC1dUVO3bsaDdXXV2NiIgIDBo0CDY2NvDx8UFRUVG72QsXLmDy5MlQqVTQaDSIiYlBXV2dSU4QBGzatAnDhw%2BHUqnE2LFjsW/fvke8MkRERNTbKRYuXIjY2FisWrUKb731FmxtbQEAd%2B7cwfr16/G3v/0NCQkJj1w4ISEBFy5cQEhICJ555hl8%2B%2B232L59O8aPH49PP/1U0kBZW1sjPT0dgiCIY3Z2diY109LSEBkZiZCQEMTGxuLs2bOIjo6GwWBAXFycmBMEAYGBgbh69SpWrVoFtVqNlJQUeHt7o7CwUPJbkMXFxfD19YWbmxu2bt2K8vJybN68GaWlpTh69Khk/jVr1iAhIQFLliyBp6cncnNzMW/ePMjlcmi12ke%2BRkRERNQ7yYxGoxAeHo49e/ZAoVBg6NChAIDy8nK0tLQgNDQUmZmZkMlkj1Q4Pz8fnp6ekg1LS0tL8fTTTyMkJAQZGRkA7t7BysnJwZ07d%2B5br6GhAc7Ozpg4cSJyc3PF8bCwMOTm5qKsrExsyvbv34%2B5c%2BciJycHs2fPBgDo9Xq4uroiMDAQmZmZ4vmBgYG4cuUKrl%2B/DpVKBeDuXbKIiAicOHECvr6%2BAIDKyko8%2BeSTeOWVV7Bt2zbx/KlTp%2BLmzZu4efNmh9eosLAQHh4eeOql7eg7ZORDX8PuUPr%2B2/B5ZigOHjzY3UshIiL6Sdr%2B/b18%2BTLGjx/fpXPLZTIZ/vrXv%2BLEiRN46aWXMHLkSIwcORKLFi3CRx99hD179jxycwUAv/rVr0x2gx85ciRGjx6Nf/7znyZ5o9GImpqaDuudOnUKVVVVWLp0qWT81VdfRW1treRuU05ODoYMGSI2VwDg4OAArVaL3NxcNDc3AwBqamqQl5eHsLAwsbkCgPDwcKhUKuzfv18cO3z4MFpaWhAZGSmZPzIyEuXl5bh48eL9LgcRERE9RsQve/bz88POnTvx0Ucf4aOPPkJqaqp498acbt26BQcHB8lYfX09%2BvXrBzs7O6jVakRFRZm8A9X2/pSHh4dk3MPDA3K5XPJ%2BVVFRUbudqpeXF%2Brr63Hjxg0AwNWrV9HS0mJS09LSEu7u7pKaxcXFUKlUGDVqlElNQRA6fL%2BLiIiIHj/yB0fMJzMzExUVFZg7d6445ujoiFWrVuEvf/kL9u3bh1mzZiElJQXTpk2D0WgUczqdDhYWFibNmaWlJdRqNSorKyVZjUZjMn/bWFtWp9NBJpN1mP1xzcGDBz%2BwJhEREZECuPvOUXp6Or788kv8%2B9//lrxsDgAymQyNjY0/aaKSkhJERUVh0qRJCA8PF8fj4%2BMlOa1WCxcXF7z55pvIzs4WXx43GAwdbidhbW0Ng8Eg/mwwGNCnT592c4IgiNm2vzvKPmzNe2sRERERKV577TVs3rwZTz/9NIKDgzFgwACzT3Lr1i1Mnz4dAwYMwIEDBx74TteKFSvw1ltvIS8vT2ywlEolmpqa2s03NDRAqVSKPyuVynYbwoaGBshkMjHb9ndH2YeteW8tIiIiIsV7772H2bNnIzs7u1MmuHPnDgICAnDnzh2cO3cOQ4YMeeA51tbWUKvVqKqqEsc0Gg1aW1uh1%2Bsljwmbm5tx%2B/ZtODo6SrI6nc6kbttYW1aj0UAQhA6zP655%2BvTpB9a8n7KP02BhrZKM2bt5w3609wPPJSIioo7t3bsXe/fulYx150bpCoPBgOeff75Tijc2NmLGjBkoLS3FyZMn8ctf/vKhzqutrYVer8fAgQPFMXd3dwiCgIKCAgQEBIjjly5dgtFohLu7uyR77tw5k7r5%2Bfno27cvXF1dAQBjxoyBQqFAQUEBgoODxVxzczOKi4sxZ84cSc309HSUlJRIXnTPz8%2BHTCaTzN8RZ78lP/ttGoiIiHqi0NBQhIaGSsbatmnoDvLf/OY3uHz5stkLG41GaLVafPrpp8jOzoaXl5dJprGxEbW1tSbj77zzDgBg2rRp4piPjw/s7e2RmpoqyaampkKlUmH69OniWHBwMG7duiXZy0mv1yM7OxtBQUGwtLQEAPTr1w%2B%2Bvr7IzMyU/NZiRkYG6urqJJuHzpo1CwqFAikpKZL5d%2B7cCScnJ0ycOPGhrgsRERH1foqUlBQ8//zz2LRpEyIiItC/f3%2BzFF65ciWOHDmCoKAg6PV67NmzR3L8xRdfxLfffotx48YhNDRUvCt0/PhxHDt2DIGBgQgKChLz1tbWWL9%2BPaKioqDVauHv748zZ84gKysLGzZskKw7ODgYycnJWLhwIa5duwYHBwekpKTAaDRi3bp1knXEx8dj0qRJmDJlCiIiIlBWVoakpCT4%2B/vDz89PzDk5OWH58uVITExEU1MTJkyYgEOHDuH8%2BfPIysr6j/YKIyIiot5J1r9/f6GlpQX19fUAABsbG1hYWEhDMhlu3779SIV/85vf4MyZMx0eb21tRXV1NaKjo5Gfn4/Kykq0trZi5MiRmD9/PmJjY03WAdz9jcctW7bgq6%2B%2BgrOzM5YtW4Zly5aZ5KqrqxEXF4fDhw/DYDDAy8sLiYmJGDdunEn2woULWL16NQoLC2Fra4s5c%2BZgw4YNks1H2yQkJCAtLQ06nQ4uLi5Ys2aNZNuJ9nAndyIioq7XnTu5y1588UXhYe6%2B/PWvf%2B2C5fRObLCIiIi6Xnc2WIp7v5ePiIiIiH66Lt3JnYiIiOhxIAeA8vJyREVFYfTo0Rg4cCDOnj0L4O5v3q1cuRLFxcXdukgiIiKinkRRUlKCZ599Fs3NzZgwYQJKSkrQ3NwMAHBwcMCpU6dw584d/OlPf%2BrmpRIRERH1DIpVq1bBxsYG%2Bfn5sLCwwKBBgySB6dOn48CBA920PCIiIqKeR/7JJ59g6dKlGDx4cLt7OQ0bNgwVFRXdsDQiIiKinkne2tra7n5PbfR6vbjzORERERE9mHzcuHE4fvx4uwdbW1uxb98%2B/Nd//VcXL4uIiIio55K/9tprOHr0KJYtW4aSkhIAd%2B9anT59GgEBAfj888/x2muvdfMyiYiIiHoOxfTp05Geno7ly5eLX2Tc9m3UNjY2eO%2B99%2BDt7d2NSyQiIiLqWRQAsGDBArzwwgs4fvw4SktLYTQaMWLECEybNg12dnbdvUYiIiKiHkXR9h%2B2trYICQnpzrUQERER9QqKysrKhwo6Ojp28lKIiIiIegfF0KFD293/6sdaW1u7YDlEREREPZ9i165dJg1Wa2srbt68ib/%2B9a/QaDRYsmRJNy2PiIiIqOdRvPzyyx0eXLNmDby8vNDQ0NCFSyIiIiLq2eT3O2hjY4OXXnoJW7Zs6ar1EBEREfV4922w2uh0us5eBxEREVGvoejoQH19Pc6cOYPExES4u7t35ZqIiIiIejSFpaVlu79F2NraCkEQ4OTkhHfffbcblkZERETUMylWr15t0mDJZDIMGDBA3M3d0tKym5ZHRERE1PMo/vd//7e710BERETUqzzUS%2B7/iYKCAkRFRWHMmDGwsbHBsGHDMGfOHHzxxRcm2ZKSEgQEBMDW1hZqtRrh4eHQ6/Xt1k1PT4ebmxuUSiVcXV2xY8eOdnPV1dWIiIjAoEGDYGNjAx8fHxQVFbWbvXDhAiZPngyVSgWNRoOYmBjU1dWZ5ARBwKZNmzB8%2BHAolUqMHTsW%2B/bte4SrQkRERI8DRURExCOfJJPJkJaWdt9MQkICLly4gJCQEDzzzDP49ttvsX37dowfPx6ffvop3NzcAAAVFRV49tlnMWDAAGzcuBE1NTXYvHkz/vGPf%2BCzzz6DQvH/38NPS0tDZGQkQkJCEBsbi7NnzyI6OhoGgwFxcXFiThAEBAYG4urVq1i1ahXUajVSUlLg7e2NwsJCjBgxQswWFxfD19cXbm5u2Lp1K8rLy7F582aUlpbi6NGjks%2B0Zs0aJCQkYMmSJfD09ERubi7mzZsHuVwOrVb7yNeRiIiIeifZ0KFDBYPBgKqqKgB3v/QZAGpqagAA9vb2UCqV0pNkMnzzzTf3LZyfnw9PT09Jg1RaWoqnn34aISEhyMjIAAAsXboUGRkZuH79OpycnAAAJ0%2BehJ%2BfH3bt2oW2jVAbGhrg7OyMiRMnIjc3V6wZFhaG3NxclJWVwc7ODgCwf/9%2BzJ07Fzk5OZg9ezYAQK/Xw9XVFYGBgcjMzBTPDwwMxJUrV3D9%2BnWoVCoAd%2B%2BSRURE4MSJE/D19QUAVFZW4sknn8Qrr7yCbdu2iedPnToVN2/exM2bNzv8yqHCwkJ4eHjgqZe2o%2B%2BQkfe9bt2t9P234fPMUBw8eLC7l0JERPSTtP37e/nyZYwfP75L55Z//PHH6Nu3L1atWoXKykpUV1ejuroalZWViIuLg0qlQl5eHsrKysQ/D2quAOBXv/qVpLkCgJEjR2L06NH45z//KY4dPHgQM2bMEJsrAHjuuefg6uqK/fv3i2OnTp1CVVUVli5dKqn56quvora2VnK3KScnB0OGDBGbKwBwcHCAVqtFbm4umpubAdxtIvPy8hAWFiY2VwAQHh4OlUolmf/w4cNoaWlBZGSkZP7IyEiUl5fj4sWLD7wmRERE9HiQR0VFwc/PDxs3bsSQIUPEA0OGDEFCQgJ8fX0RFRVltglv3boFBwcHAHfvCn333Xfw9PQ0yXl5eUnemWr7bw8PD0nOw8MDcrncJNtep%2Brl5YX6%2BnrcuHEDAHD16lW0tLSY1LS0tIS7u7ukZnFxMVQqFUaNGmVSUxCEDt/vIiIiosePvO1RXkc8PT3NdncmMzMTFRUVmDt3LoD/v0O8RqMxyWo0GlRVVYl3m3Q6HSwsLMTmrI2lpSXUajUqKyvFMZ1O12FNAGJWp9NBJpN1mP1xzcGDBz%2BwJhEREZG8f//%2BOHHiRIeBY8eOie82/RQlJSWIiorCpEmTEB4eDgAwGAwAgD59%2Bpjkra2tJRmDwQArK6t2a1tbW4u5tmxHNQVBkNS83/wPW/PeWkRERETyiIgIfPDBB3jhhRdw%2BvRplJeXo7y8HKdOncJvf/tbHD16FEuWLPlJk9y6dQvTp0/HgAEDcODAAfFl8LaX5xsbG03OaWhokGSUSiWamprard/Q0CB5EV%2BpVHZYUyaTSWreb/6HrXlvLSIiIiLFW2%2B9BYPBgC1btuDw4cOSgxYWFvjv//5vvP322//xBHfu3EFAQADu3LmDc%2BfOSd7zanu81t6XSet0Otjb24u7yGs0GrS2tkKv10seEzY3N%2BP27dtwdHSU1O2oJgAxq9FoIAhCh9kf1zx9%2BvQDa95P2cdpsLBWScbs3bxhP9r7gecSERFRx/bu3Yu9e/dKxqqrq7tpNYBCJpPh97//PVasWIETJ06IvyE4bNgw%2BPn5tfve0cNqbGzEjBkzUFpaipMnT%2BKXv/yl5LijoyMGDhyIgoICk3M/%2B%2BwzyZdMu7u7QxAEFBQUICAgQBy/dOkSjEajSfbcuXMmNfPz89G3b1%2B4uroCAMaMGQOFQoGCggIEBweLuebmZhQXF2POnDmSmunp6SgpKZG86J6fnw%2BZTPZQX4jt7LfkZ79NAxERUU8UGhqK0NBQyVjbNg3dQdzJfdCgQQgLC8Mbb7yBN954A/Pnz/9JzZXRaIRWq8Wnn36K7OxseHl5tZt74YUX8OGHH6KiokIcO3nyJG7cuCHZvNPHxwf29vZITU2VnJ%2BamgqVSoXp06eLY8HBwbh165ZkLye9Xo/s7GwEBQWJd8X69esHX19fZGZmSnZuz8jIQF1dnWT%2BWbNmQaFQICUlRTL/zp074eTkhIkTJz7K5SEiIqJeTAHcbYYOHjyIU6dO4bvvvsPatWsxZswY3LlzB6dPn8avfvUrDBo06JEKr1y5EkeOHEFQUBD0ej327NkjOf7iiy8CuLs7enZ2Nry9vRETE4OamhokJiZi7NixWLBggZi3trbG%2BvXrERUVBa1WC39/f5w5cwZZWVnYsGED%2BvfvL2aDg4ORnJyMhQsX4tq1a3BwcEBKSgqMRiPWrVsnWUd8fDwmTZqEKVOmICIiAmVlZUhKSoK/vz/8/PzEnJOTE5YvX47ExEQ0NTVhwoQJOHToEM6fP4%2BsrKwONxklIiKix4/izp07mDZtGi5evAilUomGhgZxM82%2BffsiMjISCxYsQHx8/CMV/r//%2Bz/IZDIcOXIER44cMTne1mANHToUn3zyCVauXInXX38dVlZWmDFjBhITE8U7TW0iIyNhZWWFLVu24MiRI3B2dkZycjKWLVsmycnlchw7dgxxcXHYvn07DAYDvLy8kJGRARcXF0l23LhxyMvLw%2BrVq7Fy5UrY2tpi8eLF2LBhg8maExISYG9vj7S0NOzevRsuLi7Ys2eP5FEiERERkSwyMlLIyMjAgQMH4OnpicGDByMvLw8%2BPj4AgJiYGJw5c4Ybaf4E/KocIiKirtetX5Vz6NAhLFu2DNOmTYNcLjcJuLq64ubNm126KCIiIqKeTP7vf/8bw4cP7zDQ0tIi7qZORERERA8mHzFixH0f/%2BXl5eGpp57qwiURERER9WzyRYsW4b333kNOTo44KJPJ0NzcjLVr1%2BJvf/sbIiIiunGJRERERD2LYsWKFbh69SpCQkKgVqsBAGFhYdDr9WhqasKiRYuwePHibl4mERERUc%2BhkMlk%2BPOf/4zf/e53yM7OxhdffAGj0YgRI0ZAq9WKv01IRERERA9H8be//Q1PPPEEvL294e3t3d3rISIiIurx5LNnz8bZs2e7ex1EREREvYZ85MiRqKqq6u51EBEREfUa8tdeew3vvvsuSktLu3stRERERL2CoqioCAMGDICbmxuee%2B45/OIXv4BSqZSEZDIZtmzZ0k1LJCIiIupZFMnJyeIPJ06caDfEBouIiIjo4Sn4NThERERE5qWwsLDo7jUQERER9SpyALh9%2BzYsLCzw97//vbvXQ0RERNTjydv%2BQxCE7lwHERERUa8hf3CEiIiIiB4FGywiIiIiM1MUFhaiuroaAPDFF1%2Bgf//%2B7QbHjx/flesiIiIi6rEUEyZMEH9YunSpSUAQBMhkMrS2tnbluoiIiIh6LMV7773X3WsgIiIi6lXkv/vd7/Awf/4TdXV1WLt2LaZNmwa1Wg25XI6MjAyT3MKFCyGXy03%2BuLm5tVs3PT0dbm5uUCqVcHV1xY4dO9rNVVdXIyIiAoMGDYKNjQ18fHxQVFTUbvbChQuYPHkyVCoVNBoNYmJiUFdXZ5ITBAGbNm3C8OHDoVQqMXbsWOzbt%2B8RrgoRERH1dorOLK7X67F%2B/XoMGzYM7u7uOH36dIdZa2trpKenS7aLsLOzM8mlpaUhMjISISEhiI2NxdmzZxEdHQ2DwYC4uDgxJwgCAgMDcfXqVaxatQpqtRopKSnw9vZGYWEhRowYIWaLi4vh6%2BsLNzc3bN26FeXl5di8eTNKS0tx9OhRyfxr1qxBQkIClixZAk9PT%2BTm5mLevHmQy%2BXQarU/4WoRERFRb9GpDZajoyO%2B/fZbDBo0CJcvX8a973uZLEShQGho6H3rNTQ04M0338TMmTPx/vvvAwAWLVqE1tZWrF%2B/HhEREWJTduDAAVy8eBE5OTmYPXs2ACAkJASurq5Yu3YtMjMzxbpr1qyBvb09PvnkE6hUKgDAsGHDEBERgby8PPj6%2BgIAKisrkZSUhGXLlmHbtm3i/FOnTkVcXBxCQkIgk8n%2Bw6tFREREvUWnbtNgaWmJQYMGPXTeaDSipqamw%2BOnTp1CVVWVycv4r776KmprayV3m3JycjBkyBCxuQIABwcHaLVa5Obmou07GGtqapCXl4ewsDCxuQKA8PBwqFQq7N%2B/Xxw7fPgwWlpaEBkZKZk/MjIS5eXluHjx4kN/ViIiIuq9fjb7YNXX16Nfv36ws7ODWq1GVFSUyTtQbe9PeXh4SMY9PDwgl8sl71cVFRW1u7WEl5cX6uvrcePGDQDA1atX0dLSYlLT0tIS7u7ukprFxcVQqVQYNWqUSU1BEDp8v4uIiIgeLz%2BLBsvR0RGrVq3CX/7yF%2Bzbtw%2BzZs1CSkoKpk2bBqPRKOZ0Oh0sLCzg4OAgOd/S0hJqtRqVlZWSrEajMZmrbawtq9PpIJPJOsz%2BuObgwYMfWJOIiIgeb536DtbDio%2BPl/ys1Wrh4uKCN998E9nZ2eLL4waDAVZWVu3WsLa2hsFgEH82GAzo06dPuzlBEMRs298dZR%2B25r21iIiI6PH2s7iD1Z4VK1ZAJpMhLy9PHFMqlWhqamo339DQAKVSKck2Nja2m5PJZGK27e%2BOsg9b895aRERE9Hj7WdzBao%2B1tTXUajWqqqrEMY1Gg9bWVuj1esljwubmZty%2BfRuOjo6SrE6nM6nbNtaW1Wg0EAShw%2ByPa7a31cSPa3ak7OM0WFirJGP2bt6wH%2B193/OIiIjo/vbu3Yu9e/dKxtq%2BCrA7/GwbrNraWuj1egwcOFAcc3d3hyAIKCgoQEBAgDh%2B6dIlGI1GuLu7S7Lnzp0zqZufn4%2B%2BffvC1dUVADBmzBgoFAoUFBQgODhYzDU3N6O4uBhz5syR1ExPT0dJSYnkRff8/HzIZDLJ/O1x9luCvkNGPsJVICIioocRGhpqst1TYWGhyS%2BxdZVuf0TY2NiI2tpak/F33nkHADBt2jRxzMfHB/b29khNTZVkU1NToVKpMH36dHEsODgYt27dwsGDB8UxvV6P7OxsBAUFwdLSEgDQr18/%2BPr6IjMzU/JbixkZGairq5NsHjpr1iwoFAqkpKRI5t%2B5cyecnJwwceLE/%2BQSEBERUS/T6Xew3n33Xfzwww%2BoqKgAAHzwwQcoKysDAERHR6Oqqgrjxo1DaGioeFfo%2BPHjOHbsGAIDAxEUFCTWsra2xvr16xEVFQWtVgt/f3%2BcOXMGWVlZ2LBhA/r37y9mg4ODkZycjIULF%2BLatWtwcHBASkoKjEYj1q1bJ1ljfHw8Jk2ahClTpiAiIgJlZWVISkqCv78//Pz8xJyTkxOWL1%2BOxMRENDU1YcKECTh06BDOnz%2BPrKwsbjJKREREAACZcO9303SCJ598Et988027x7766ivY2dkhOjoa%2Bfn5qKysRGtrK0aOHIn58%2BcjNjYWFhYWJuelp6djy5Yt%2BOqrr%2BDs7Ixly5Zh2bJlJrnq6mrExcXh8OHDMBgM8PLyQmJiIsaNG2eSvXDhAlavXo3CwkLY2tpizpw52LBhg2Tz0TYJCQlIS0uDTqeDi4sL1qxZg7lz53Z4DdpuUT710vaf/SPC0vffhs8zQyV3/oiIiHqitn9/L1%2B%2B3O7emJ2p0xssYoNFRETUHbqzwer2d7CIiIiIehs2WERERERmxgaLiIiIyMzYYBERERGZGRssIiIiIjNjg0VERERkZmywiIiIiMyMDRYRERGRmbHBIiIiIjIzNlhEREREZsYGi4iIiMjM2GARERERmRkbLCIiIiIzY4NFREREZGZssIiIiIjMjA0WERERkZmxwSIiIiIyMzZYRERERGbGBouIiIjIzNhgEREREZkZGywiIiIiM2ODRURERGRmndpg1dXVYe3atZg2bRrUajXkcjkyMjLazZaUlCAgIAC2trZQq9UIDw%2BHXq9vN5ueng43NzcolUq4urpix44d7eaqq6sRERGBQYMGwcbGBj4%2BPigqKmo3e%2BHCBUyePBkqlQoajQYxMTGoq6szyQmCgE2bNmH48OFQKpUYO3Ys9u3b95BXhIiIiB4Hndpg6fV6rF%2B/HiUlJXB3d4dMJms3V1FRgWf/X3t3HxVlmf4B/PuMzDjDDJgDqAO5Wuq0Gtkkyvq2xiEQX0iPyUu2Sfor6FiKZQdNe7ENMdvI98VMPet6UKPUTVPrbHjM1rcQiY5aLmlpArMokgo4Awj3749%2BPD8eZ1BcB%2BfF7%2BecOUfu55r7ua/nQr18nuH2j3/ETz/9hEWLFiEjIwO7du3CyJEjce3aNUXs6tWrkZqaioceeggrV67E0KFDkZ6ejvfee08RJ4TAmDFj8NFHH8nHL1y4gKioKJw%2BfVoRW1xcjJiYGNjtdixZsgSpqan48MMPkZSU5LDWefPm4dVXX0VcXBxWrlyJHj164KmnnsLHH398m1eLiIiIfIVfe%2B6KdWoAABuWSURBVE4eGhqK//znP%2BjSpQuOHj2KQYMGOY3LysqCzWZDcXExwsLCAACDBg1CbGws1q9fj%2Beeew4AYLfb8frrr%2BPxxx9HXl4eAODZZ59FY2MjMjMzkZaWhk6dOgEAPvnkExw6dAhbt27FhAkTAACJiYkwm82YP38%2BcnNz5fPPmzcPRqMR%2B/btg16vBwD06NEDaWlpyM/PR0xMDACgvLwcixcvxowZM7Bs2TL5/I8%2B%2BigyMjKQmJjYahNJREREd492vYOlVqvRpUuXm8Zt27YN8fHxcnMFAI899hjMZrPiztDevXtRVVWFF154QfH%2BF198ETU1Ndi1a5c8tnXrVnTr1k1urgAgODgYSUlJ2L59OxoaGgAA1dXVyM/Px%2BTJk%2BXmCgBSUlKg1%2BsV5//0009x7do1TJs2TXH%2BadOmobS0FIcOHbpprkREROT73P4h9/Lycpw/fx4DBw50OBYZGan4zFTzryMiIhRxERERUKlUDrEDBgxwOufVq1dRUlICADh27BiuXbvmMKdarYbFYlHMWVxcDL1ej9///vcOcwohWv18FxEREd1d3N5gWa1WAIDJZHI4ZjKZUFVVJd9tslqt6NChA4KDgxVxarUaQUFBKC8vV8zb2pwA5Fir1QpJklqNvX7Orl273nROIiIiuru5vcGy2WwAgI4dOzoc02q1ihibzQaNRuN0Hq1WK8c1x7Y2pxBCMeeNzt/WOVvORURERHc3tzdYOp0OAFBXV%2BdwzG63K2J0Oh3q6%2BudzmO32%2BW45tjW5pQkSTHnjc7f1jlbzkVERER3t3b9KcK2aH681vyosCWr1Qqj0Qi1Wi3HNjY2orKyUvGYsKGhARcvXkRoaKhi3tbmBCDHmkwmCCFajb1%2Bzq%2B%2B%2Buqmc7bm3Jer0UGrV4wZ%2B0XB%2BGDUDd9HREREN7Z582Zs3rxZMXb58mU3rcYDGqzQ0FCEhISgsLDQ4VhBQQEsFov8tcVigRAChYWFGDVqlDx%2B5MgRNDU1OcTu37/fYc7Dhw/D398fZrMZABAeHg4/Pz8UFhYiISFBjmtoaEBxcTGSk5MVc65btw4nT55UfND98OHDkCRJcX5nusc%2BD/9uvW8YQ0RERLdu0qRJmDRpkmKsqKjI4YfY7hS3PyIEgIkTJ2Lnzp0oKyuTx/bs2YOSkhLFZp/R0dEwGo1YtWqV4v2rVq2CXq/H2LFj5bGEhARUVFRg27Zt8lhlZSW2bNmCcePGyXfFAgMDERMTg9zcXMXO7Rs2bEBtba3i/OPHj4efnx9ycnIU5//ggw8QFhaGoUOH3uaVICIiIl/Q7new/vrXv%2BLSpUty87Rjxw6cO3cOAJCeno6AgADMmzcPW7ZsQVRUFGbOnInq6mpkZ2fj4YcfxpQpU%2BS5tFotMjMzMX36dCQlJSEuLg5ff/01Nm3ahIULF%2BKee%2B6RYxMSErB06VJMnToVJ06cQHBwMHJyctDU1IS33npLscasrCwMGzYMI0aMQFpaGs6dO4fFixcjLi4OsbGxclxYWBheeuklZGdno76%2BHoMGDcI//vEPHDhwAJs2beImo0RERAQAkIQQoj1PcN999%2BGXX35xeuznn3/G7373OwDADz/8gFmzZmH//v3QaDSIj49HdnY2QkJCHN63bt06vP/%2B%2B/j555/RvXt3zJgxAzNmzHCIu3z5MjIyMvDpp5/CZrMhMjIS2dnZeOSRRxxiDx48iDlz5qCoqAgBAQFITk7GwoULFZuPNnv33XexevVqWK1W9OnTB/PmzcOTTz7Z6jVovkXZ939WePwjwlN5byK6/72KO39ERETeqPnv36NHjzrdG7M9tXuDRWywiIiI3MGdDZZHfAaLiIiIyJewwSIiIiJyMTZYRERERC7GBouIiIjIxdhgEREREbkYGywiIiIiF2ODRURERORibLCIiIiIXIwNFhEREZGLscEiIiIicjE2WEREREQuxgaLiIiIyMXYYBERERG5GBssIiIiIhdjg0VERETkYmywiIiIiFyMDRYRERGRi7HBIiIiInIxNlhERERELsYGi4iIiMjF2GARERERuZhHNFj79u2DSqVyeHXo0AEFBQWK2JMnT2LUqFEICAhAUFAQUlJSUFlZ6XTedevWoV%2B/ftDpdDCbzVi5cqXTuMuXLyMtLQ1dunSBwWBAdHQ0vv32W6exBw8exPDhw6HX62EymTBz5kzU1tbe3gUgIiIin%2BLn7gW09NJLL2HgwIGKsd69e8u/Lisrwx//%2BEd07twZixYtQnV1Nd577z0cP34cBQUF8PP7/3RWr16NadOmITExEa%2B88gr%2B9a9/IT09HTabDRkZGXKcEAJjxozBsWPHMHv2bAQFBSEnJwdRUVEoKipCr1695Nji4mLExMSgX79%2BWLJkCUpLS/Hee%2B/h1KlT2LVrVzteGSIiIvImHtVgDR8%2BHE888USrx7OysmCz2VBcXIywsDAAwKBBgxAbG4v169fjueeeAwDY7Xa8/vrrePzxx5GXlwcAePbZZ9HY2IjMzEykpaWhU6dOAIBPPvkEhw4dwtatWzFhwgQAQGJiIsxmM%2BbPn4/c3Fz5/PPmzYPRaMS%2Bffug1%2BsBAD169EBaWhry8/MRExPj%2BotCREREXscjHhG2VFNTg8bGRqfHtm3bhvj4eLm5AoDHHnsMZrMZH3/8sTy2d%2B9eVFVV4YUXXlC8/8UXX0RNTY3ibtPWrVvRrVs3ubkCgODgYCQlJWH79u1oaGgAAFRXVyM/Px%2BTJ0%2BWmysASElJgV6vV5yfiIiI7m4e1WBNnToVgYGB0Gq1iI6OxtGjR%2BVj5eXlOH/%2BvMMjRACIjIxUfGaq%2BdcRERGKuIiICKhUKofYAQMGOJ3z6tWrKCkpAQAcO3YM165dc5hTrVbDYrG0%2BpktIiIiuvt4RIOl0WiQkJCAZcuWYceOHcjKysLx48cxYsQIfPfddwAAq9UKADCZTA7vN5lMqKqqku82Wa1WdOjQAcHBwYo4tVqNoKAglJeXy2NWq7XVOQHIsVarFZIktRrbck4iIiK6u3nEZ7CGDBmCIUOGyF/Hx8dj4sSJ6N%2B/P%2BbOnYvdu3fDZrMBADp27Ojwfq1WCwCw2WxQq9Ww2WzQaDROz6XVauW5mt/T2pxCCDn2ZudvOScRERHd3TziDpYzvXr1wvjx47F3714IIaDT6QAAdXV1DrF2ux0A5BidTof6%2Bnqn89rtdjmuOba1OSVJUsx5o/O3nJOIiIjubh5xB6s13bt3R319PWpra%2BVHc82PCluyWq0wGo1Qq9UAfntk19jYiMrKSsVjwoaGBly8eBGhoaHymMlkanVOAHKsyWSCEKLV2JZztubcl6vRQatXjBn7RcH4YNRN30tERESt27x5MzZv3qwYu3z5sptW4%2BEN1unTp6HVamEwGGAwGBASEoLCwkKHuIKCAlgsFvlri8UCIQQKCwsxatQoefzIkSNoampyiN2/f7/DnIcPH4a/vz/MZjMAIDw8HH5%2BfigsLERCQoIc19DQgOLiYiQnJ980n%2B6xz8O/W%2B%2BbxhEREdGtmTRpEiZNmqQYKyoqcvjhtDvFIx4ROtuJ/bvvvsNnn32GuLg4eWzixInYuXMnysrK5LE9e/agpKQESUlJ8lh0dDSMRiNWrVqlmHPVqlXQ6/UYO3asPJaQkICKigps27ZNsZ4tW7Zg3Lhx8l2xwMBAxMTEIDc3V7Fz%2B4YNG1BbW6s4PxEREd3dPOIOVnJyMnQ6HYYOHYouXbrgxIkTWLNmDQwGA9555x05bt68ediyZQuioqIwc%2BZMVFdXIzs7Gw8//DCmTJkix2m1WmRmZmL69OlISkpCXFwcvv76a2zatAkLFy7EPffcI8cmJCRg6dKlmDp1Kk6cOIHg4GDk5OSgqakJb731lmKdWVlZGDZsGEaMGIG0tDScO3cOixcvRlxcHGJjY9v7MhEREZGX8IgGa8KECdi4cSOWLFmCK1euICQkBAkJCXjzzTdx//33y3H33nsv9u3bh1mzZmHu3LnQaDSIj49Hdna2fKep2bRp06DRaPD%2B%2B%2B/js88%2BQ/fu3bF06VLMmDFDEadSqfD5558jIyMDK1asgM1mQ2RkJDZs2IA%2BffooYh955BHk5%2Bdjzpw5mDVrFgICApCamoqFCxe238UhIiIiryMJIYS7F%2BHrmp8B9/2fFR7/GaxTeW8iuv%2B9ikemRERE3qj579%2BjR4863VS8PXnEZ7CIiIiIfAkbLCIiIiIXY4NFRERE5GJssIiIiIhcjA0WERERkYuxwSIiIiJyMTZYRERERC7GBouIiIjIxdhgEREREbkYGywiIiIiF2ODRURERORibLCIiIiIXIwNFhEREZGLscEiIiIicjE2WEREREQuxgaLiIiIyMXYYBERERG5GBssIiIiIhdjg0VERETkYmywiIiIiFyMDRYRERGRi7HBIiIiInIxNli3qL6%2BHnPmzEFYWBj8/f0xePBg5Ofnu3tZRERE5EHYYN2iZ555BkuXLsXkyZOxfPly%2BPn5YcyYMTh48KC7l0ZEREQegg3WLSgoKEBeXh4WLVqERYsW4bnnnsOePXvQo0cPzJ49293L8yibN2929xLuKObr25ivb2O%2B1B7YYN2CLVu2wM/PD6mpqfJYx44d8eyzz%2BLQoUMoKytz4%2Bo8y932G5j5%2Bjbm69uYL7UHNli3oLi4GGazGQaDQTEeGRkpHyciIiJig3ULrFYrTCaTw7jJZIIQAuXl5W5YFREREXkaNli3wGazoWPHjg7jWq1WPk5ERETk5%2B4FeBOdToe6ujqHcbvdLh93prnxOrNrKTponMd4CtuFM6joqsbGjRtva57S0tLbnqMtVCoVmpqa2v08N9OWfD1lrW1xs7Xeqfq2xZ24rq7K11u%2BB0pLS7F582avWCtw%2B9f1Tn4/e8L3QFvzDQ4ORkhIyB1YUfv54YcfALjpBoigNouNjRUPPvigw/iePXuEJEli586dTt%2BXm5srAPDFF1988cUXX2545ebmtneL4IB3sG6BxWLBV199hZqaGsUH3Q8fPgxJkmCxWJy%2BLy4uDrm5uejZs2erd7mIiIjItWw2G86cOYO4uLg7fm5JCCHu%2BFm9VEFBAQYPHozs7GzMmjULwG87u4eHhyMkJAQHDhxw8wqJiIjIE/AO1i2IjIxEYmIi5s6di4qKCvTu3Rvr16/H2bNn8be//c3dyyMiIiIPwTtYt6i%2Bvh5vvPEGcnNz8euvv6J///5YsGABYmJi3L00IiIi8hBssIiIiIhcjPtgEREREbkYG6x2VF9fjzlz5iAsLAz%2B/v4YPHgw8vPz3b0sp/bt2weVSuXw6tChAwoKChSxJ0%2BexKhRoxAQEICgoCCkpKSgsrLS6bzr1q1Dv379oNPpYDabsXLlSqdxly9fRlpaGrp06QKDwYDo6Gh8%2B%2B23LsmttrYW8%2BfPx%2BjRoxEUFASVSoUNGzY4jXV3bgcPHsTw4cOh1%2BthMpkwc%2BZM1NbWtku%2BU6dOdVrzfv36eVW%2BhYWFmD59OsLDw2EwGNCjRw8kJyfjxx9/dIj1hfq2NV9fqe/333%2BPpKQk9OrVC3q9HiEhIXj00Uexc%2BdOh1hfqG9b8/WV%2Bl4vKysLKpUK/fv3dzjmdfW94xtD3EWefPJJodFoxJw5c8SaNWvEsGHDhFqtFgcOHHD30hx89dVXQpIk8fLLL4uNGzcqXhcvXpTjSktLRXBwsOjTp49YuXKleOedd4TRaBSPPPKIaGhoUMz5wQcfCEmSRFJSkli7dq145plnhCRJ4i9/%2BYsirqmpSQwdOlQEBASIzMxMkZOTI8LDw0VgYKA4derUbed25swZIUmS6Nmzp4iOjhYqlUr8/e9/d4hzd27ffvut0Ol0IiIiQqxevVq88cYbQqvVijFjxrRLvlOmTBE6nU5s2rRJUW9n%2B7l5cr4JCQkiNDRUzJw5U6xbt05kZWWJbt26CYPBIE6cOCHH%2BUp925qvr9R39%2B7dYvTo0eLtt98Wa9euFcuXLxePPvqokCRJrFmzRo7zlfq2NV9fqW9LpaWlQq/Xi4CAAPHQQw85HPO2%2BrLBaifffPONkCRJLF68WB6z2%2B2id%2B/eYtiwYW5cmXPNDdbWrVtvGDdt2jSh1%2BtFaWmpPJafn%2B/wm99ms4ng4GAxbtw4xfuffvppERAQIC5duiSP5eXlCUmSxLZt2%2BSxCxcuiM6dO4s//elPt5uaqK%2BvFxUVFUIIIQoLC4UkSU4bDnfnNnr0aBEWFiZqamrksbVr1wqVSiW%2B/PJLl%2Bc7ZcoUERAQcNP5PD3fQ4cOOfwB%2B%2BOPPwqtVismT54sj/lKfduar6/U15mmpiZhsVhE37595TFfqW9b8/XF%2BiYnJ4uYmBgRFRXl0GB5Y33ZYLWTjIwMoVarRXV1tWL8nXfeESqVSvFN4glaNljV1dXi2rVrTuO6du0qkpOTHcYfeOABERsbK3%2B9e/duoVKpxBdffKGIO3TokJAkSWzcuFEeS0pKEiaTyWHO559/XhgMBlFfX//fpuXgRg2HO3O7cuWKUKvV4tVXX1XE1dfXi4CAAJGamnprif6ftjRYjY2N4sqVK63O4U35thQRESEGDhwof%2B2L9W3p%2Bnx9vb6PP/64Yi2%2BXt/r8/W1%2Bu7bt0%2Bo1Wpx/Phxpw2WN9aXn8FqJ8XFxTCbzYod34Hf9tJqPu6Jpk6disDAQGi1WkRHR%2BPo0aPysfLycpw/fx4DBw50eF9kZKTiuXXzryMiIhRxERERUKlUDrEDBgxwOufVq1dRUlJy23ndjLtzO3bsGK5du%2BYwp1qthsVicdnn0a539epVBAYGolOnTggKCsL06dMdPlPgrflWVFQgODgYwN1R35b5NvOl%2Bl69ehUXL17ETz/9hCVLluDzzz%2BXt8fxxfreKN%2BWMb5Q36amJqSnpyM1NRUPPvigw3FvrS8brHZitVphMpkcxk0mE4QQKC8vd8OqWqfRaJCQkIBly5Zhx44dyMrKwvHjxzFixAh89913AH7LCUCreVVVVaGhoUGO7dChg8Mf%2BGq1GkFBQYr8b3StANyRa%2BXu3KxWKyRJajW2Pa5BaGgoZs%2BejfXr1%2BOjjz7C%2BPHjkZOTg9GjRyv%2BM1pvzDc3NxdlZWV48skn5fO1XMf15/P2%2Bl6fL%2BB79X3llVcQEhKC3r17IyMjA0888QRWrFghn6/lOq4/nzfW90b5Ar5V31WrVuGXX35BZmam0%2BPeWl/u5N5ObDYbOnbs6DCu1Wrl455kyJAhGDJkiPx1fHw8Jk6ciP79%2B2Pu3LnYvXu3vOab5aVWq2Gz2aDRaJyeS6vVKvK/0bUSQtyRa%2BXu3G52/va4BllZWYqvk5KS0KdPH7z%2B%2BuvYsmULkpKS5LV5U74nT57E9OnTMWzYMKSkpLTpfM0x3lhfZ/kCvlffl19%2BGYmJiSgvL8fHH3%2BMxsZG1NXVtel8zTHeVN8b5Qv4Tn2rqqowf/58vPnmmzAajU5jvLW%2BvIPVTnQ6neI3QzO73S4f93S9evXC%2BPHjsXfvXggh5DW3JS%2BdTof6%2Bnqn89rtdkX%2BN7pWkiTdkWvl7txudv479f3y8ssvQ5IkxXYi3pRvRUUFxo4di86dO%2BOTTz6BJEltOl/LGF/ItzXeXF%2Bz2Yzo6Gg8/fTT2LFjB6qrqzFu3Lg2na9ljC/k2xpvrO9rr70mP95sjbfWlw1WOzGZTPJtzZaax0JDQ%2B/0kv4r3bt3R319PWpra%2BXbo63lZTQaoVarAfyWf2Njo8MeJQ0NDbh48aIif0%2B4Vu7OrfnRcWuxd%2Br7RavVIigoCFVVVfKYt%2BR75coVjBo1CleuXMEXX3yBbt26KdbVch3Xn88b63ujfFvjzfW9XkJCAo4cOYIff/zRJ%2Bt7vZb5tsbb6nvq1CmsWbMG6enpKCsrw9mzZ3HmzBnY7XY0NDTg7Nmz%2BPXXX722vmyw2onFYkFJSQlqamoU44cPH4YkSbBYLG5a2a05ffo0tFotDAYDQkNDERISgsLCQoe4goICRU4WiwVCCIfYI0eOoKmpySG2qKjIYc7Dhw/D398fZrPZhRk55%2B7cwsPD4efn5zBnQ0MDiouL79j3S01NDSorKxESEiKPeUO%2BdXV1iI%2BPx6lTp7Br1y488MADiuO%2BVt%2Bb5dsab62vM82PZS5fvuxz9XWmZb6t8bb6lpWVQQiB9PR03Hfffbjvvvtw//3345tvvsG///1v3H///cjMzPTe%2Bjr92UK6bc37YL3//vvyWF1dnejTp48YOnSoG1fm3IULFxzGiouLhUajERMmTJDHbrQXyYcffiiP2Ww2ERQU5HQvEoPBIH799Vd5LC8vT6hUKsUeXM17kTz11FMuya/Zf7sP1p3I7Ub7rPzzn/90ab52u91hCxEhftteRKVSie3bt3tNvo2NjWLcuHFCo9E4/Gh2S75S37bk60v1PX/%2BvMNYQ0ODGDBggNDr9aK2tlYI4Tv1bUu%2BvlLfyspKsX37dodXeHi46Nmzp9ixY4c4fvy4EMI768sGqx0lJSUJjUYjZs%2BeLT788EMxdOhQodFoxP79%2B929NAfR0dFi7NixIisrS6xZs0a89NJLQq/XC6PRKE6ePCnHnTt3ToSEhIjevXuLFStWiIULFwqj0SgsFovDflU5OTlCpVKJxMREsXbtWpGSkiJUKpVYtGiRIq6xsVEMGTJEBAYGirffflveTbdTp06ipKTEJfmtXLlSLFiwQEybNk1IkiQmTpwoFixYIBYsWCDvIePu3IqKioROpxMDBgwQH3zwgXjttdeETqcTo0ePdnm%2BZ86cEZ07dxYvvPCCWL58uVi%2BfLkYM2aMkCRJjB071mE%2BT8535syZQpIkMX78eJGbm%2BvwauYr9W1Lvr5U3wkTJojHHntM/PnPfxZr164VCxYsEH379hUqlUosXbpUjvOV%2BrYlX1%2BqrzPO9sHyxvqywWpHdXV1Yvbs2SI0NFTodDrxhz/84bZ39G0vK1asEIMHDxbBwcFCo9GIsLAw8cwzz4jTp087xH7//fdi1KhRwmAwCKPRKFJSUpz%2Bq0uI3zr8vn37Cq1WK/r06SOWL1/uNO7SpUsiNTVVhISECIPBIKKjo0VRUZHL8uvZs6dQqVROX2fPnvWY3A4cOCCGDx8u/P39RdeuXUV6erriX0yuyvfSpUsiJSVFmM1mYTAYhE6nEw899JB49913W91k1lPzjYqKajVXlUqliPWF%2BrYlX1%2Bqb15enhg5cqQwmUxCo9GIoKAgMXLkSKf/JYwv1Lct%2BfpSfZ2JiooS/fv3dxj3tvpKQgjRpoelRERERNQm/JA7ERERkYuxwSIiIiJyMTZYRERERC7GBouIiIjIxdhgEREREbkYGywiIiIiF2ODRURERORibLCIiIiIXIwNFhEREZGLscEiIiIicjE2WEREREQuxgaLiIiIyMXYYBERERG5GBssIiIiIhdjg0VERETkYmywiIiIiFyMDRYRERGRi7HBIiIiInIxNlhERERELva/NIhIXQBqS3YAAAAASUVORK5CYII%3D\"/>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common806169550977593703\">\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">471.868874235</td>\n",
-       "        <td class=\"number\">813</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">460.304871281</td>\n",
-       "        <td class=\"number\">617</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">296.948295556</td>\n",
-       "        <td class=\"number\">614</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">390.504218471</td>\n",
-       "        <td class=\"number\">576</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">331.066387482</td>\n",
-       "        <td class=\"number\">575</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1748.67337568</td>\n",
-       "        <td class=\"number\">555</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">436.966941352</td>\n",
-       "        <td class=\"number\">510</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">509.561366785</td>\n",
-       "        <td class=\"number\">491</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">417.379786354</td>\n",
-       "        <td class=\"number\">483</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">309.048565584</td>\n",
-       "        <td class=\"number\">466</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (364348)</td>\n",
-       "        <td class=\"number\">422062</td>\n",
-       "        <td class=\"number\">98.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme806169550977593703\">\n",
-       "            <p class=\"h4\">Minimum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.917715827599</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.94046824086</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.94047461101</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.940487793721</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.940488255092</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "            <p class=\"h4\">Maximum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">12569.9607542</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">16203.4842604</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">28170.1078201</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">35493.8039942</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">35811.8034194</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>Shape_Leng</code></s><br/>\n",
-       "            <small>Highly correlated</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is highly correlated with <code>Shape_Le_1</code> and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Correlation</th>\n",
-       "            <td>1</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">TAX_ADD_L2<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>54604</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>12.8%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.4%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>1691</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable1130930309275275561\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>MAPLE GROVE MN   55311</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 2.4%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        10095\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>EDEN PRAIRIE MN   55347</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 2.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        9201\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>MAPLE GROVE MN   55369</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:3%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 2.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        8965\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (54600)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 93.0%\">\n",
-       "            397810\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable1130930309275275561, #minifreqtable1130930309275275561\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable1130930309275275561\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MAPLE GROVE MN   55311</td>\n",
-       "        <td class=\"number\">10095</td>\n",
-       "        <td class=\"number\">2.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">EDEN PRAIRIE MN   55347</td>\n",
-       "        <td class=\"number\">9201</td>\n",
-       "        <td class=\"number\">2.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MAPLE GROVE MN   55369</td>\n",
-       "        <td class=\"number\">8965</td>\n",
-       "        <td class=\"number\">2.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">BROOKLYN PARK MN   55443</td>\n",
-       "        <td class=\"number\">8220</td>\n",
-       "        <td class=\"number\">1.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">RICHFIELD MN   55423</td>\n",
-       "        <td class=\"number\">8215</td>\n",
-       "        <td class=\"number\">1.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MINNETONKA MN   55345</td>\n",
-       "        <td class=\"number\">7750</td>\n",
-       "        <td class=\"number\">1.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">CHAMPLIN MN   55316</td>\n",
-       "        <td class=\"number\">6747</td>\n",
-       "        <td class=\"number\">1.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PLYMOUTH MN   55447</td>\n",
-       "        <td class=\"number\">6671</td>\n",
-       "        <td class=\"number\">1.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MINNEAPOLIS MN   55406</td>\n",
-       "        <td class=\"number\">6488</td>\n",
-       "        <td class=\"number\">1.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">BLOOMINGTON MN   55431</td>\n",
-       "        <td class=\"number\">6302</td>\n",
-       "        <td class=\"number\">1.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (54593)</td>\n",
-       "        <td class=\"number\">347417</td>\n",
-       "        <td class=\"number\">81.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">TAX_ADD_L3<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>3193</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>5.1%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>85.5%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>365597</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable3707982712908646806\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>MINNEAPOLIS MN   55401</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.8%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        3593\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>MAPLE GROVE MN   55311</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.4%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1784\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>EDEN PRAIRIE MN   55347</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.4%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1514\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (3189)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:15%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 12.9%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        55274\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 85.5%\">\n",
-       "            365597\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable3707982712908646806, #minifreqtable3707982712908646806\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable3707982712908646806\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MINNEAPOLIS MN   55401</td>\n",
-       "        <td class=\"number\">3593</td>\n",
-       "        <td class=\"number\">0.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MAPLE GROVE MN   55311</td>\n",
-       "        <td class=\"number\">1784</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">EDEN PRAIRIE MN   55347</td>\n",
-       "        <td class=\"number\">1514</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MINNEAPOLIS MN   55419</td>\n",
-       "        <td class=\"number\">1412</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MINNEAPOLIS MN   55406</td>\n",
-       "        <td class=\"number\">1323</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PLYMOUTH MN   55446</td>\n",
-       "        <td class=\"number\">1268</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">RICHFIELD MN   55423</td>\n",
-       "        <td class=\"number\">1261</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">BROOKLYN PARK MN   55443</td>\n",
-       "        <td class=\"number\">1174</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MAPLE GROVE MN   55369</td>\n",
-       "        <td class=\"number\">1098</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MINNEAPOLIS MN   55417</td>\n",
-       "        <td class=\"number\">1088</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (3182)</td>\n",
-       "        <td class=\"number\">46650</td>\n",
-       "        <td class=\"number\">10.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">365597</td>\n",
-       "        <td class=\"number\">85.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>TAX_CAPAC</code></s><br/>\n",
-       "            <small>Highly correlated</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is highly correlated with <code>EMV_TOTAL</code> and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Correlation</th>\n",
-       "            <td>0.9882</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">TAX_EXEMPT<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>2</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable334993915492083960\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>N</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 95.8%\">\n",
-       "            409906\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Y</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:5%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 4.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        17856\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable334993915492083960, #minifreqtable334993915492083960\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable334993915492083960\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">N</td>\n",
-       "        <td class=\"number\">409906</td>\n",
-       "        <td class=\"number\">95.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Y</td>\n",
-       "        <td class=\"number\">17856</td>\n",
-       "        <td class=\"number\">4.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">TORRENS<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>3</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable8079531474157900754\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>A</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 54.2%\">\n",
-       "            231844\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>T</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:80%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 43.6%\">\n",
-       "            186652\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>B</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 2.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        9266\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable8079531474157900754, #minifreqtable8079531474157900754\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable8079531474157900754\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">A</td>\n",
-       "        <td class=\"number\">231844</td>\n",
-       "        <td class=\"number\">54.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">T</td>\n",
-       "        <td class=\"number\">186652</td>\n",
-       "        <td class=\"number\">43.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:80%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">B</td>\n",
-       "        <td class=\"number\">9266</td>\n",
-       "        <td class=\"number\">2.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>TOTAL_TAX</code></s><br/>\n",
-       "            <small>Highly correlated</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is highly correlated with <code>TAX_CAPAC</code> and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Correlation</th>\n",
-       "            <td>0.99701</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">UNIT_INFO<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>6850</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>13.3%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>88.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>376292</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-8459340778191412380\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>2</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        600\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>1</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        599\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>3</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        551\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (6846)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:14%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 11.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        49720\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 88.0%\">\n",
-       "            376292\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-8459340778191412380, #minifreqtable-8459340778191412380\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-8459340778191412380\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2</td>\n",
-       "        <td class=\"number\">600</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1</td>\n",
-       "        <td class=\"number\">599</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">3</td>\n",
-       "        <td class=\"number\">551</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">201</td>\n",
-       "        <td class=\"number\">548</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">101</td>\n",
-       "        <td class=\"number\">542</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">202</td>\n",
-       "        <td class=\"number\">533</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">4</td>\n",
-       "        <td class=\"number\">532</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">102</td>\n",
-       "        <td class=\"number\">519</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">203</td>\n",
-       "        <td class=\"number\">460</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">204</td>\n",
-       "        <td class=\"number\">454</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (6839)</td>\n",
-       "        <td class=\"number\">46132</td>\n",
-       "        <td class=\"number\">10.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">376292</td>\n",
-       "        <td class=\"number\">88.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">USE1_DESC<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>46</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.3%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>1425</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable5143787837238532731\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Residential</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 62.0%\">\n",
-       "            265117\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Condominium</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:17%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 10.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        43396\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Townhouse</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:10%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 5.8%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        24692\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (42)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:35%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 21.8%\">\n",
-       "            93132\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable5143787837238532731, #minifreqtable5143787837238532731\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable5143787837238532731\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Residential</td>\n",
-       "        <td class=\"number\">265117</td>\n",
-       "        <td class=\"number\">62.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Condominium</td>\n",
-       "        <td class=\"number\">43396</td>\n",
-       "        <td class=\"number\">10.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:17%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Townhouse</td>\n",
-       "        <td class=\"number\">24692</td>\n",
-       "        <td class=\"number\">5.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Residential</td>\n",
-       "        <td class=\"number\">13989</td>\n",
-       "        <td class=\"number\">3.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Double Bungalow</td>\n",
-       "        <td class=\"number\">12737</td>\n",
-       "        <td class=\"number\">3.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Condo Garage/Miscellaneous</td>\n",
-       "        <td class=\"number\">12330</td>\n",
-       "        <td class=\"number\">2.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Commercial</td>\n",
-       "        <td class=\"number\">10642</td>\n",
-       "        <td class=\"number\">2.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Residential Lakeshore</td>\n",
-       "        <td class=\"number\">7775</td>\n",
-       "        <td class=\"number\">1.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Commercial</td>\n",
-       "        <td class=\"number\">6569</td>\n",
-       "        <td class=\"number\">1.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Apartment</td>\n",
-       "        <td class=\"number\">4694</td>\n",
-       "        <td class=\"number\">1.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (35)</td>\n",
-       "        <td class=\"number\">24396</td>\n",
-       "        <td class=\"number\">5.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">USE2_DESC<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>35</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.8%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>99.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>423364</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-4057679146782102627\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Commercial</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1019\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Farm</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        763\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Vacant Land - Residential</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        578\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (31)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.5%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2038\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 99.0%\">\n",
-       "            423364\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-4057679146782102627, #minifreqtable-4057679146782102627\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-4057679146782102627\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Commercial</td>\n",
-       "        <td class=\"number\">1019</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Farm</td>\n",
-       "        <td class=\"number\">763</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Residential</td>\n",
-       "        <td class=\"number\">578</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Commercial</td>\n",
-       "        <td class=\"number\">332</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Residential</td>\n",
-       "        <td class=\"number\">309</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Apartment</td>\n",
-       "        <td class=\"number\">302</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Rural Farm</td>\n",
-       "        <td class=\"number\">213</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Rural Residential</td>\n",
-       "        <td class=\"number\">200</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Agricultural Preserve</td>\n",
-       "        <td class=\"number\">170</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Industrial</td>\n",
-       "        <td class=\"number\">108</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (24)</td>\n",
-       "        <td class=\"number\">404</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">423364</td>\n",
-       "        <td class=\"number\">99.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">USE3_DESC<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>19</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>2.5%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>99.8%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>427010</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-1261748925423789660\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Vacant Land - Rural Farm</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        218\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Farm</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        167\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Vacant Land - Rural Residential</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        104\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (15)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        263\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 99.8%\">\n",
-       "            427010\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-1261748925423789660, #minifreqtable-1261748925423789660\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1261748925423789660\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Rural Farm</td>\n",
-       "        <td class=\"number\">218</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Farm</td>\n",
-       "        <td class=\"number\">167</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Rural Residential</td>\n",
-       "        <td class=\"number\">104</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Residential</td>\n",
-       "        <td class=\"number\">71</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Commercial</td>\n",
-       "        <td class=\"number\">71</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Agricultural Preserve</td>\n",
-       "        <td class=\"number\">64</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Commercial</td>\n",
-       "        <td class=\"number\">23</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Residential</td>\n",
-       "        <td class=\"number\">9</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Industrial</td>\n",
-       "        <td class=\"number\">6</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Apartment</td>\n",
-       "        <td class=\"number\">5</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (8)</td>\n",
-       "        <td class=\"number\">14</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">427010</td>\n",
-       "        <td class=\"number\">99.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">USE4_DESC<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>11</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>5.3%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>100.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>427555</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-5451412810961980506\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Vacant Land - Rural Farm</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        118\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Residential</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        39\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Vacant Land - Rural Residential</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        20\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (7)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        30\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 100.0%\">\n",
-       "            427555\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-5451412810961980506, #minifreqtable-5451412810961980506\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-5451412810961980506\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Rural Farm</td>\n",
-       "        <td class=\"number\">118</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Residential</td>\n",
-       "        <td class=\"number\">39</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Rural Residential</td>\n",
-       "        <td class=\"number\">20</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Farm</td>\n",
-       "        <td class=\"number\">12</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Commercial</td>\n",
-       "        <td class=\"number\">6</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Commercial</td>\n",
-       "        <td class=\"number\">6</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Agricultural Preserve</td>\n",
-       "        <td class=\"number\">3</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Vacant Land - Industrial</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Golf Course - Reduced Rate</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Farm-Hmstd (House & 1 Acre)</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">427555</td>\n",
-       "        <td class=\"number\">100.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">WSHD_DIST<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>9</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>18.1%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>77315</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-4057727845122572184\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Minnehaha Creek</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:95%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 26.4%\">\n",
-       "            113041\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Middle Mississippi</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:61%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 16.8%\">\n",
-       "            72064\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Shingle Creek</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:40%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 11.1%\">\n",
-       "            47481\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (5)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 27.6%\">\n",
-       "            117861\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:65%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 18.1%\">\n",
-       "            77315\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-4057727845122572184, #minifreqtable-4057727845122572184\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-4057727845122572184\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Minnehaha Creek</td>\n",
-       "        <td class=\"number\">113041</td>\n",
-       "        <td class=\"number\">26.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Middle Mississippi</td>\n",
-       "        <td class=\"number\">72064</td>\n",
-       "        <td class=\"number\">16.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:64%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Shingle Creek</td>\n",
-       "        <td class=\"number\">47481</td>\n",
-       "        <td class=\"number\">11.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:42%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Nine Mile Creek</td>\n",
-       "        <td class=\"number\">43197</td>\n",
-       "        <td class=\"number\">10.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Bassett Creek</td>\n",
-       "        <td class=\"number\">37304</td>\n",
-       "        <td class=\"number\">8.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:33%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Riley Purgatory Bluff</td>\n",
-       "        <td class=\"number\">27287</td>\n",
-       "        <td class=\"number\">6.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:24%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Lower Minnesota River</td>\n",
-       "        <td class=\"number\">9499</td>\n",
-       "        <td class=\"number\">2.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:9%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Rice Creek</td>\n",
-       "        <td class=\"number\">574</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">77315</td>\n",
-       "        <td class=\"number\">18.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:68%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">XUSE1_DESC<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>39</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.2%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>95.9%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>410121</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6638327996153333187\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>MUNICIPAL PROPERTY</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 1.9%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        7945\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>HIGHWAY RIGHT-OF-WAY</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2713\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>CHURCHES AND CHURCH PROPERTY</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1283\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (35)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 1.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        5700\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 95.9%\">\n",
-       "            410121\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6638327996153333187, #minifreqtable-6638327996153333187\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6638327996153333187\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MUNICIPAL PROPERTY</td>\n",
-       "        <td class=\"number\">7945</td>\n",
-       "        <td class=\"number\">1.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">HIGHWAY RIGHT-OF-WAY</td>\n",
-       "        <td class=\"number\">2713</td>\n",
-       "        <td class=\"number\">0.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">CHURCHES AND CHURCH PROPERTY</td>\n",
-       "        <td class=\"number\">1283</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">TAX FORFEIT</td>\n",
-       "        <td class=\"number\">1034</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">CHARITABLE INSTITUTIONS</td>\n",
-       "        <td class=\"number\">602</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">COUNTY PROPERTY</td>\n",
-       "        <td class=\"number\">587</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">SPECIAL TAXING DISTRICTS</td>\n",
-       "        <td class=\"number\">549</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PUBLIC K-12 SCHOOL PROPERTY</td>\n",
-       "        <td class=\"number\">405</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">HENNEPIN COUNTY REGIONAL RAIL AUTHORITY</td>\n",
-       "        <td class=\"number\">382</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">STATE PROPERTY</td>\n",
-       "        <td class=\"number\">283</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (28)</td>\n",
-       "        <td class=\"number\">1858</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">410121</td>\n",
-       "        <td class=\"number\">95.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">XUSE2_DESC<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>26</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>1.9%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>99.7%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>426421</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable5889913536923124433\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>WETLANDS</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1118\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>CHURCHES AND CHURCH PROPERTY</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        78\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>CHARITABLE INSTITUTIONS</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        49\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (22)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        96\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 99.7%\">\n",
-       "            426421\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable5889913536923124433, #minifreqtable5889913536923124433\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable5889913536923124433\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">WETLANDS</td>\n",
-       "        <td class=\"number\">1118</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">CHURCHES AND CHURCH PROPERTY</td>\n",
-       "        <td class=\"number\">78</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">CHARITABLE INSTITUTIONS</td>\n",
-       "        <td class=\"number\">49</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PUBLIC HOSPITALS</td>\n",
-       "        <td class=\"number\">25</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">HENNEPIN COUNTY REGIONAL RAIL AUTHORITY</td>\n",
-       "        <td class=\"number\">17</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">HRA PROPERTY \"PILT\" (5% IN LIEU)</td>\n",
-       "        <td class=\"number\">7</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MUNICIPAL PROPERTY</td>\n",
-       "        <td class=\"number\">7</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PRIVATE HOSPITALS</td>\n",
-       "        <td class=\"number\">7</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">COUNTY PROPERTY</td>\n",
-       "        <td class=\"number\">4</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PUBLIC CEMETERIES</td>\n",
-       "        <td class=\"number\">4</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (15)</td>\n",
-       "        <td class=\"number\">25</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">426421</td>\n",
-       "        <td class=\"number\">99.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">XUSE3_DESC<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>10</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>4.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>99.9%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>427512</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6761009165519727103\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>WETLANDS</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        236\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>CHARITABLE INSTITUTIONS</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        5\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>NURSING HOMES</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (6)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        7\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 99.9%\">\n",
-       "            427512\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6761009165519727103, #minifreqtable-6761009165519727103\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6761009165519727103\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">WETLANDS</td>\n",
-       "        <td class=\"number\">236</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">CHARITABLE INSTITUTIONS</td>\n",
-       "        <td class=\"number\">5</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">NURSING HOMES</td>\n",
-       "        <td class=\"number\">2</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">HRA PROPERTY \"PILT\" (5% IN LIEU)</td>\n",
-       "        <td class=\"number\">2</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PUBLIC HOSPITALS</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PRIVATE ACADEMIES, COLLEGES & UNIVERSITIES</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">POLLUTION CONTROL</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MUNICIPAL PROPERTY</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">CHURCHES AND CHURCH PROPERTY</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">427512</td>\n",
-       "        <td class=\"number\">99.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">XUSE4_DESC<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>4</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>11.1%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>100.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>427726</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable770144133455133831\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>WETLANDS</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        34\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>POLLUTION CONTROL</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>CHARITABLE INSTITUTIONS</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 100.0%\">\n",
-       "            427726\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable770144133455133831, #minifreqtable770144133455133831\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable770144133455133831\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">WETLANDS</td>\n",
-       "        <td class=\"number\">34</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">POLLUTION CONTROL</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">CHARITABLE INSTITUTIONS</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">427726</td>\n",
-       "        <td class=\"number\">100.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">YEAR_BUILT<br/>\n",
-       "            <small>Numeric</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>163</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "\n",
-       "                <tr>\n",
-       "                    <th>Mean</th>\n",
-       "                    <td>1818.9</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>2014</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"alert\">\n",
-       "                    <th>Zeros (%)</th>\n",
-       "                    <td>7.3%</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram-481982654833644490\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABOlJREFUeJzt2k1IGwkYxvEn0q4f3UMF8WOLyWBTPy5%2BpAYVpSQS0EMPLR6krZR6KAjV0x68imy9tD0E9W5lpFQjlu6h9drrriyWUtvFxjQR1GpSLzYKxncPi8MK7bstKTNKnx/MYZxJ5pXM32EyQhxgmqYA4MLlmxbTNG0/V0/BAYZhAABM00RNTY0TI9BnLC0toaenB2WXbiL3bKm67972OtZeTNryGR7OdXje2MmRQPLz8wEANTU18Pl8ToxAirNePwpKveo%2Bn9aXsfZi0tbP8PC8sVOO7UckOkEYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKRgIkYKBECkYCJGCgRApGAiRgoEQKU45efCbt27hzJmf/3e/UHs77t79zYaJiI5yNJDVdAFOufRAdpMJ/HXvHgMhRzgayC%2BXelBQ6lX3%2BfDn71j/ELVpIqKjeA9CpHDkCpJOpwEAf0/%2BCleO3uhBZh8/nT6Nqampr37/nJwcHBwcnJh9j8scKysrAIDt5T%2BQ3kqo%2B%2B5trwMAlpaWvuq9s3F4jMPzxlbiANM0BQAXLt%2B0mKZp%2B7nqEhGBzba2tjA/Pw/DMJCfn2/34emESafTiMVi6OjoQFFRka3HdiQQopOCN%2BlECgZCpLA9kOXlZbS2tqKqqgpNTU22fAtCx8ve3h6uXr2K6upqNDQ0oKOjA9Hov8%2B6AoEAKioq4PP54PP5EA6Hrdel02lcv34dFy5cQHV1NWZnZ61tIoKBgQF4vV5UVlZifHz8%2Bwxr97cC7e3tMjk5KSIikUhE/H6/3SOQw3Z3d%2BXZs2fW%2BtjYmASDQRERCQQC8vTp08%2B%2Bbnh4WHp7e0VEZGVlRYqLiyWVSomIyMOHDyUUComISCqVEo/HI69fv856VluvIJubm1hYWMCNGzcAAF1dXUgkEtZfD/ox5ObmorOz01pvbm5GLBaz1r/03Obx48fo6%2BsDABiGgUAggLm5OQDA9PQ0bt%2B%2BDQAoLCxEd3c3Hj16lPWstgaSSCRQVlaGnP88HHS73YjH43aOQcdMOBzGlStXrPXBwUHU1dXh2rVr1sNLAIjH4/B4PNa6YRjWuaNtywZv0slRIyMjePfuHUZGRgAApmnizZs3WFxcRFtbGy5fvuzofLYGUl5ejrW1tSOX0Hg8DrfbbecYdEzcv38fT548wfPnz5GXlwcAOHfunLX9zp07iEaj%2BPjxIwDA4/Hg/fv31vZYLGadO263%2B4vbspL1Xcw3CgaDMjExISIiMzMzvEn/QT148EAuXrwo29vb1s/29/dlY2PDWo9EImIYhrU%2BNDRk3aRHo1EpKSmRZDIpIiITExMSCoUkk8lIMpkUj8cjr169ynpO2wN5%2B/attLS0SGVlpfj9/u/yS9DJsrq6Ki6XS7xerzQ0NEh9fb00NzfLzs6ONDY2Sm1trdTV1UkoFJKXL19ar9vZ2ZHu7m45f/68VFVVSSQSsbZlMhnp7%2B%2BXiooK8Xq9Mjo6%2Bl1m5b%2BaECl4k06kYCBECgZCpGAgRAoGQqRgIEQKBkKkYCBECgZCpGAgRAoGQqRgIESKfwAi993Ej%2BOqRwAAAABJRU5ErkJggg%3D%3D\">\n",
-       "\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-481982654833644490,#minihistogram-481982654833644490\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives-481982654833644490\">\n",
-       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
-       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-481982654833644490\"\n",
-       "                                                  aria-controls=\"quantiles-481982654833644490\" role=\"tab\"\n",
-       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#histogram-481982654833644490\" aria-controls=\"histogram-481982654833644490\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#common-481982654833644490\" aria-controls=\"common-481982654833644490\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#extreme-481982654833644490\" aria-controls=\"extreme-481982654833644490\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
-       "\n",
-       "    </ul>\n",
-       "\n",
-       "    <div class=\"tab-content\">\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-481982654833644490\">\n",
-       "            <div class=\"col-md-4 col-md-offset-1\">\n",
-       "                <p class=\"h4\">Quantile statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Minimum</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>5-th percentile</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q1</th>\n",
-       "                        <td>1931</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Median</th>\n",
-       "                        <td>1962</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q3</th>\n",
-       "                        <td>1985</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>95-th percentile</th>\n",
-       "                        <td>2005</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Maximum</th>\n",
-       "                        <td>2014</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Range</th>\n",
-       "                        <td>2014</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Interquartile range</th>\n",
-       "                        <td>54</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "            <div class=\"col-md-4 col-md-offset-2\">\n",
-       "                <p class=\"h4\">Descriptive statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Standard deviation</th>\n",
-       "                        <td>512.72</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Coef of variation</th>\n",
-       "                        <td>0.28189</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Kurtosis</th>\n",
-       "                        <td>8.6321</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Mean</th>\n",
-       "                        <td>1818.9</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>MAD</th>\n",
-       "                        <td>267</td>\n",
-       "                    </tr>\n",
-       "                    <tr class=\"\">\n",
-       "                        <th>Skewness</th>\n",
-       "                        <td>-3.2537</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Sum</th>\n",
-       "                        <td>778056932</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Variance</th>\n",
-       "                        <td>262880</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Memory size</th>\n",
-       "                        <td>3.3 MiB</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-481982654833644490\">\n",
-       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzs3XtQVFe6NvCn226kbREDeGmIMaPCKNERQTkzaJRBDIiK5QitmMCJMWBQUJGDGuLEVDwyXlAwMiBOyEQGhRhAjSHoCZZ3ZSIiEyeGqHFMBFpjyxG5NPf9/ZFif2678XLS0KM%2BvypKWfvtdy22VfLU3qt3ywRBEEBEREREZiO39AKIiIiInjYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGbdFrDWrVsHuVyO3/zmN0bHysvL4e/vDxsbG9jb2yMsLAx6vd5kn4yMDLi6ukKlUsHFxQUpKSkm62pqahAREYH%2B/fujd%2B/e8PHxwfnz503Wnj59GhMmTIBarYZGo8HSpUtRX19vVCcIAjZu3IghQ4ZApVJh9OjRyMnJeYyzQERERM%2BCbglYlZWV%2BNOf/oTevXubPPbyyy/j6tWrWL9%2BPeLi4lBQUIBXXnkFra2tktr09HSEh4dj1KhRSElJgZeXF5YsWYJNmzZJ6gRBQEBAAHJycsTjt27dgre3N77//ntJbVlZGXx9fdHY2IikpCSEh4djx44d0Gq1RmuNj4/HqlWr4Ofnh5SUFAwePBjz5s3Dnj17zHCWiIiI6KkhdIM5c%2BYIvr6%2Bgre3tzBq1CjJscjISEGtVgsVFRXiWFFRkSCTyYS//OUv4pjBYBAcHByEwMBAyetfe%2B01wcbGRrhz54449sknnwgymUzIz88Xx27duiU899xzwquvvip5/dSpUwUnJyehrq5OHPvwww8FuVwufPnll%2BJYZWWlYGVlJSxZskTy%2BokTJwovvPCC0N7e/jinhIiIiJ5iXX4F6/jx48jPz0dycrLJ4/n5%2BZg%2BfTqcnJzEscmTJ8PFxUVyZejIkSOorq7GokWLJK9fvHgx6urqUFBQII7l5eVh4MCBmDVrljjm4OAArVaL/fv3o6WlBQBQW1uLoqIihIaGQq1Wi7VhYWFQq9WS%2Bfft24fW1lZERkZK5o%2BMjERFRQXOnDnzOKeFiIiInmJdGrDa29uxZMkShIeH46WXXjI6XlVVhZ9%2B%2Bgljx441Oubp6SnZM9Xxdw8PD0mdh4cH5HK5Ua27u7vJng0NDbh06RIA4MKFC2htbTXqqVQq4ebmJulZVlYGtVqN4cOHG/UUBKHT/V1ERET07OnSgJWWloYff/wRa9euNXlcp9MBADQajdExjUaD6upq8WqTTqdDjx494ODgIKlTKpWwt7dHVVWVpG9nPQGItTqdDjKZrNPa%2B3sOGDDgoT2JiIiIuixgVVdXY82aNXj33XdhZ2dnssZgMAAAevbsaXTM2tpaUmMwGGBlZWWyj7W1tVjXUdtZT0EQJD0fNP%2Bj9ry3FxEREZGiqxq/8847sLe3R1RUVKc1KpUKANDU1GR0rLGxUVKjUqnQ3Nxssk9jY6NY11HbWU%2BZTCbp%2BaD5H7Xnvb1M0ev1OHToEF588cUH1hEREZH5GAwGXLt2DX5%2BfkZ3wLpalwSsK1eu4C9/%2BQu2bt2KyspKAD8/OqGxsREtLS344Ycf0KdPH/H2WsetwnvpdDrY2dlBqVQC%2BPlWXFtbG/R6veQktbS04Pbt23B0dBTHNBpNpz0BiLUajQaCIHRae3/Po0ePPrSnKYcOHcJrr73W6XEiIiLqOllZWXj11Ve7dc4uCViVlZUQBAFLlixBdHS00fEhQ4Zg6dKl2LJlC/r164eSkhKjmq%2B%2B%2Bgpubm7i925ubhAEASUlJfD39xfHz549i/b2dqPakydPGvUsLi5Gr1694OLiAgAYOXIkFAoFSkpKEBQUJNa1tLSgrKwMc%2BbMkfTMyMhAeXm5ZKN7cXExZDKZZP77vfjiiwB%2B/gceMWJEp3XUdWJiYpCUlGTpZTyzeP4ti%2Bffsnj%2BLefbb7/Fa6%2B9Jv4e7k5dErBGjhyJvXv3Go2/8847qKurwwcffIAhQ4YAAGbPno3MzExUVlaKj2o4fPgwLl26hNjYWPG1Pj4%2BsLOzQ1pamiRgpaWlQa1WY9q0aeJYUFAQ8vLykJ%2Bfjz/84Q8Afr5Nl5ubi8DAQPGqWJ8%2BfeDr64usrCz88Y9/FB/VkJmZifr6esnDRmfOnImYmBikpqbigw8%2BEMe3b98OJycneHl5dXo%2BOm4LjhgxwuS7G6nr2dra8txbEM%2B/ZT1r5//HH3/s9NNALM3BwQEvvPCCpZfxzLHI9pzufOiWqQeNXr9%2BXejXr58wbNgwYdu2bUJCQoJgZ2cnuLm5Cc3NzZLa1NRUQS6XC8HBwcKHH34ohIWFCXK5XFi/fr2krq2tTfjd734n9OnTR3j//feF1NRUYeTIkYKtra1w6dIlSW1paamgUqkEd3d3Yfv27cI777wjqFQqYerUqUbrX7FihSCXy4WFCxcKH374oTBt2jRBLpcLOTk5D/y5z507JwAQzp079zini8xoxowZll7CM43n37KepfP/ww8/CNaqXgKAf8sva1Uv4YcffrD0aXpmWPL3b5dtcu%2BMTCaTfP/888/j2LFjWL58Od5%2B%2B21YWVlh%2BvTpSExMFK80dYiMjISVlRU2b96MAwcOYNCgQUhOTja6DSmXy1FYWIi4uDhs27YNBoMBnp6eyMzMhLOzs6R2zJgxKCoqwsqVK7F8%2BXLY2NggPDwcCQkJRmvfsGED7OzskJ6ejp07d8LZ2Rm7du2S3EokIiLL0ev1aDQ04MXAOKgc/j2uFF3/Mh2DpiyEQf8jrn22CXq9nlexngHdGrCOHDlicnzEiBEoLCx8pB4LFizAggULHlpna2uLHTt2YMeOHQ%2Bt9fLywokTJx5p/pUrV2LlypWPVEtERJahcngBvQYOs/QyAAA9rNX/Nmuh7tMtH/ZMZGkhISGWXsIzjeffsnj%2BLcvO1dvSSyALYMCiZwJ/wVgWz79l8fxblt1L3pZeAlkAAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZkZAxYRERGRmTFgEREREZlZlwWsixcvQqvVYujQoVCr1ejXrx8mTZqEzz//XFI3f/58yOVyoy9XV1eTfTMyMuDq6gqVSgUXFxekpKSYrKupqUFERAT69%2B%2BP3r17w8fHB%2BfPnzdZe/r0aUyYMAFqtRoajQZLly5FfX29UZ0gCNi4cSOGDBkClUqF0aNHIycn5zHPDBERET3tFF3V%2BIcffkBdXR1ef/11ODo6oqGhAXl5eQgMDMSOHTvw5ptvirXW1tbIyMiAIAjimK2trVHP9PR0REZGIjg4GLGxsThx4gSWLFkCg8GAuLg4sU4QBAQEBODChQtYsWIF7O3tkZqaCm9vb5SWlmLo0KFibVlZGXx9feHq6oqkpCRUVFRg06ZNuHLlCgoKCiTzx8fHY8OGDVi4cCHGjh2L/fv3Y968eZDL5dBqteY8fURERPQEkwn3ppouJggC3N3d0dTUhIsXLwL4%2BQpWXl4e7t69%2B8DXNjY2YtCgQfDy8sL%2B/fvF8dDQUOzfvx/Xr18XQ9mePXswd%2B5c5OXlYdasWQAAvV4PFxcXBAQEICsrS3x9QEAAvv76a3z33XdQq9UAfr5KFhERgUOHDsHX1xcAUFVVhV/96ld46623sHXrVvH1kyZNwrVr13Dt2jXIZDKTay8tLYWHhwfOnTsHd3f3xz1tRET0iDr%2Bvx3xxjb0GjjM0suRaLhxBd9%2BFM3fBd3Ikr9/u3UPlkwmw6BBg3Dnzh2jY%2B3t7aitre30tUeOHEF1dTUWLVokGV%2B8eDHq6uokV5vy8vIwcOBAMVwBgIODA7RaLfbv34%2BWlhYAQG1tLYqKihAaGiqGKwAICwuDWq3Gnj17xLF9%2B/ahtbUVkZGRkvkjIyNRUVGBM2fOPOJZICIioqddlweshoYG3L59G1evXkVSUhIKCwvFq0L31vTp0we2trawt7dHVFSU0R6ojv1THh4eknEPDw/I5XLJ/qrz58%2BbTKqenp5oaGjApUuXAAAXLlxAa2urUU%2BlUgk3NzdJz7KyMqjVagwfPtyopyAIne7vIiIiomdPl%2B3B6hAbG4v09HQAgFwux%2BzZs7Ft2zbxuKOjI1asWAF3d3e0t7fj4MGDSE1Nxddff42jR49CLv85A%2Bp0OvTo0QMODg6S/kqlEvb29qiqqhLHdDodJk2aZLQWjUYD4OfbfS%2B99BJ0Oh1kMpk4fn/tyZMnJT0HDBjwwJ5EREREQDcErJiYGAQHB6Oqqgp79uxBW1sbmpqaxOPr1q2T1Gu1Wjg7O2P16tXIzc0VN48bDAZYWVmZnMPa2hoGg0H83mAwoGfPnibrBEEQazv%2B7Kz2UXve24uIiIioy28Ruri4wMfHB6%2B99ho%2B%2B%2Bwz1NbWIjAw8IGviYmJgUwmQ1FRkTimUqnQ3Nxssr6xsREqlUpSe2%2BIu7dOJpOJtR1/dlb7qD3v7UVERETU5Vew7hcUFIS33noLly9fhrOzs8kaa2tr2Nvbo7q6WhzTaDRoa2uDXq%2BX3CZsaWnB7du34ejoKKnV6XRGfTvGOmo1Gg0EQei09v6eR48efWjPB4mJiTF6/ERISAhCQkIe%2BloiIiLqXHZ2NrKzsyVjNTU1FlqNBQJWx620B/3QdXV10Ov16Nevnzjm5uYGQRBQUlICf39/cfzs2bNob2%2BHm5ubpPbe/VMdiouL0atXL7i4uAAARo4cCYVCgZKSEgQFBYl1LS0tKCsrw5w5cyQ9MzIyUF5eLtnoXlxcDJlMJpm/M0lJSXxrLhERURcwdcGi4zENltBltwhv3bplNNba2oqdO3dCpVLB1dUVTU1NqKurM6p7//33AQBTp04Vx3x8fGBnZ4e0tDRJbVpaGtRqNaZNmyaOBQUF4ebNm8jPzxfH9Ho9cnNzERgYCKVSCQDo06cPfH19kZWVJXnXYmZmJurr6yUPD505cyYUCgVSU1Ml82/fvh1OTk7w8vJ6pPNCRERET78uu4K1cOFC3L17FxMnToSTkxNu3LiBXbt24bvvvsOWLVvQq1cv/PDDDxgzZgxCQkLEq0IHDx5EYWEhAgICJHu1rK2tsXbtWkRFRUGr1cLPzw/Hjx/H7t27kZCQgL59%2B4q1QUFBSE5Oxvz58/HNN9/AwcEBqampaG9vx3vvvSdZ57p16zB%2B/HhMnDgRERERuH79OrZs2QI/Pz9MmTJFrHNycsKyZcuQmJiI5uZmjBs3Dnv37sWpU6ewe/fuTh8ySkRERM%2BeLgtYc%2BfORUZGBrZv347bt2/DxsYGHh4e2LRpk3i1qW/fvpgxYwaKioqQmZmJtrY2DBs2DOvXr0dsbKxRz8jISFhZWWHz5s04cOAABg0ahOTkZERHR0vq5HI5CgsLERcXh23btsFgMMDT0xOZmZlG%2B77GjBmDoqIirFy5EsuXL4eNjQ3Cw8ORkJBgNP%2BGDRtgZ2eH9PR07Ny5E87Ozti1a5fkViIRERFRt35UzrOKH5VDRNQ9%2BFE5dK9n5qNyiIiIiJ4FDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZtZlAevixYvQarUYOnQo1Go1%2BvXrh0mTJuHzzz83qi0vL4e/vz9sbGxgb2%2BPsLAw6PV6k30zMjLg6uoKlUoFFxcXpKSkmKyrqalBREQE%2Bvfvj969e8PHxwfnz583WXv69GlMmDABarUaGo0GS5cuRX19vVGdIAjYuHEjhgwZApVKhdGjRyMnJ%2BcxzgoRERE9C7osYP3www%2Boq6vD66%2B/jg8%2B%2BADvvvsuZDIZAgMD8eGHH4p1lZWVePnll3H16lWsX78ecXFxKCgowCuvvILW1lZJz/T0dISHh2PUqFFISUmBl5cXlixZgk2bNknqBEFAQEAAcnJyxOO3bt2Ct7c3vv/%2Be0ltWVkZfH190djYiKSkJISHh2PHjh3QarVGP1N8fDxWrVoFPz8/pKSkYPDgwZg3bx727NljxjNHRERETzqZIAhCd00mCALc3d3R1NSEixcvAgAWLVqEzMxMfPfdd3BycgIAHD58GFOmTMGOHTvw5ptvAgAaGxsxaNAgeHl5Yf/%2B/WLP0NBQ7N%2B/H9evX4etrS0AYM%2BePZg7dy7y8vIwa9YsAIBer4eLiwsCAgKQlZUlvj4gIABff/01vvvuO6jVagA/XyWLiIjAoUOH4OvrCwCoqqrCr371K7z11lvYunWr%2BPpJkybh2rVruHbtGmQymcmfu7S0FB4eHjh37hzc3d3Nci6JiMhYx/%2B3I97Yhl4Dh1l6ORINN67g24%2Bi%2BbugG1ny92%2B37sGSyWQYNGgQ7ty5I47l5%2Bdj%2BvTpYrgCgMmTJ8PFxUVyZejIkSOorq7GokWLJD0XL16Muro6FBQUiGN5eXkYOHCgGK4AwMHBAVqtFvv370dLSwsAoLa2FkVFRQgNDRXDFQCEhYVBrVZL5t%2B3bx9aW1sRGRkpmT8yMhIVFRU4c%2BbM//W0EBER0VOmywNWQ0MDbt%2B%2BjatXryIpKQmFhYWSq0I//fQTxo4da/Q6T09PyZ6pjr97eHhI6jw8PCCXy41qTSVVT09PNDQ04NKlSwCACxcuoLW11ainUqmEm5ubpGdZWRnUajWGDx9u1FMQhE73dxEREdGzp8sDVmxsLPr164dhw4YhLi4Of/jDH7Bt2zYAgE6nAwBoNBqj12k0GlRXV4tXm3Q6HXr06AEHBwdJnVKphL29PaqqqsQxnU7XaU8AYq1Op4NMJuu09v6eAwYMeGhPIiIiIkVXTxATE4Pg4GBUVVVhz549aGtrQ1NTEwDAYDAAAHr27Gn0Omtra7FGqVTCYDDAysrK5BzW1tZir47XdNZTEASx9mHzP2rPe3sRERERdfkVLBcXF/j4%2BOC1117DZ599htraWgQGBgIAVCoVAIiB616NjY2SGpVKhebmZpNzNDY2inUdtZ31lMlkkp4Pmv9Re97bi4iIiKjLr2DdLygoCG%2B99RYuX74s3l7ruFV4L51OBzs7OyiVSgA/34pra2uDXq%2BX3CZsaWnB7du34ejoKI5pNJpOewIQazUaDQRB6LT2/p5Hjx59aM8HiYmJEd/p2CEkJAQhISEPfS0RERF1Ljs7G9nZ2ZKxmpoaC63GAgGr41ZaTU0NnJ2d0a9fP5SUlBjVffXVV3BzcxO/d3NzgyAIKCkpgb%2B/vzh%2B9uxZtLe3G9WePHnSqGdxcTF69eoFFxcXAMDIkSOhUChQUlKCoKAgsa6lpQVlZWWYM2eOpGdGRgbKy8slG92Li4shk8kk83cmKSmJb80lIiLqAqYuWHQ8psESuuwW4a1bt4zGWltbsXPnTqhUKri6ugIAZs%2Bejc8//xyVlZVi3eHDh3Hp0iXJwz59fHxgZ2eHtLQ0Sc%2B0tDSo1WpMmzZNHAsKCsLNmzeRn58vjun1euTm5iIwMFC8KtanTx/4%2BvoiKytL8uT2zMxM1NfXS%2BafOXMmFAoFUlNTJfNv374dTk5O8PLyeqzzQ0RERE%2BvLruCtXDhQty9excTJ06Ek5MTbty4gV27duG7777Dli1b0KtXLwA/Px09NzcX3t7eWLp0KWpra5GYmIjRo0fj9ddfF/tZW1tj7dq1iIqKglarhZ%2BfH44fP47du3cjISEBffv2FWuDgoKQnJyM%2BfPn45tvvoGDgwNSU1PR3t6O9957T7LOdevWYfz48Zg4cSIiIiJw/fp1bNmyBX5%2BfpgyZYpY5%2BTkhGXLliExMRHNzc0YN24c9u7di1OnTmH37t2dPmSUiIiInj1dFrDmzp2LjIwMbN%2B%2BHbdv34aNjQ08PDywadMmydWm559/HseOHcPy5cvx9ttvw8rKCtOnT0diYqJ4palDZGQkrKyssHnzZhw4cACDBg1CcnIyoqOjJXVyuRyFhYWIi4vDtm3bYDAY4OnpiczMTDg7O0tqx4wZg6KiIqxcuRLLly%2BHjY0NwsPDkZCQYPQzbdiwAXZ2dkhPT8fOnTvh7OyMXbt2SW4lEhEREXXrR%2BU8q/hROURE3YMflUP3emY%2BKoeIiIjoWcCARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmDFhEREREZsaARURERGRmXRawSkpKEBUVhZEjR6J3794YPHgw5syZg8uXL0vq5s%2BfD7lcbvTl6upqsm9GRgZcXV2hUqng4uKClJQUk3U1NTWIiIhA//790bt3b/j4%2BOD8%2BfMma0%2BfPo0JEyZArVZDo9Fg6dKlqK%2BvN6oTBAEbN27EkCFDoFKpMHr0aOTk5DzmmSEiIqKnnaKrGm/YsAGnT59GcHAwfvOb3%2BDGjRvYtm0b3N3d8fe//10SoKytrZGRkQFBEMQxW1tbo57p6emIjIxEcHAwYmNjceLECSxZsgQGgwFxcXFinSAICAgIwIULF7BixQrY29sjNTUV3t7eKC0txdChQ8XasrIy%2BPr6wtXVFUlJSaioqMCmTZtw5coVFBQUSOaPj4/Hhg0bsHDhQowdOxb79%2B/HvHnzIJfLodVqzXn6iIiI6AnWZQErNjYW2dnZUCj%2B/xRarRajRo3C%2BvXrkZmZ%2Bf8XoVAgJCTkgf0aGxuxevVqzJgxA5988gkAYMGCBWhra8PatWsREREhhrJPP/0UZ86cQV5eHmbNmgUACA4OhouLC9asWYOsrCyxb3x8POzs7HDs2DGo1WoAwODBgxEREYGioiL4%2BvoCAKqqqrBlyxZER0dj69at4vyTJk1CXFwcgoODIZPJfulpIyIioqdAl90i/O1vfysJVwAwbNgwvPTSS/j222%2BN6tvb21FbW9tpvyNHjqC6uhqLFi2SjC9evBh1dXWSq015eXkYOHCgGK4AwMHBAVqtFvv370dLSwsAoLa2FkVFRQgNDRXDFQCEhYVBrVZjz5494ti%2BffvQ2tqKyMhIyfyRkZGoqKjAmTNnHnQ6iIiI6BnS7Zvcb968CQcHB8lYQ0MD%2BvTpA1tbW9jb2yMqKspoD1TH/ikPDw/JuIeHB%2BRyuWR/1fnz5%2BHu7m40t6enJxoaGnDp0iUAwIULF9Da2mrUU6lUws3NTdKzrKwMarUaw4cPN%2BopCEKn%2B7uIiIjo2dOtASsrKwuVlZWYO3euOObo6IgVK1bg448/Rk5ODmbOnInU1FRMnToV7e3tYp1Op0OPHj2MwplSqYS9vT2qqqoktRqNxmj%2BjrGOWp1OB5lM1mnt/T0HDBjw0J5EREREXbYH637l5eWIiorC%2BPHjERYWJo6vW7dOUqfVauHs7IzVq1cjNzdX3DxuMBhgZWVlsre1tTUMBoP4vcFgQM%2BePU3WCYIg1nb82Vnto/a8txcRERFRt1zBunnzJqZNm4bnnnsOn3766UM3g8fExEAmk6GoqEgcU6lUaG5uNlnf2NgIlUolqW1qajJZJ5PJxNqOPzurfdSe9/YiIiIiUsyYMQOhoaGYOXOmySs0v9Tdu3fh7%2B%2BPu3fv4uTJkxg4cOBDX2NtbQ17e3tUV1eLYxqNBm1tbdDr9ZLbhC0tLbh9%2BzYcHR0ltTqdzqhvx1hHrUajgSAIndbe3/Po0aMP7fkgMTExRo%2BfCAkJeeg7KImIiOjBsrOzkZ2dLRmrqamx0GoAxcWLFzF37lz06dMHs2fPRmhoKLy9vc3SvKmpCdOnT8eVK1dw%2BPBh/PrXv36k19XV1UGv16Nfv37imJubGwRBQElJCfz9/cXxs2fPor29HW5ubpLakydPGvUtLi5Gr1694OLiAgAYOXIkFAoFSkpKEBQUJNa1tLSgrKwMc%2BbMkfTMyMhAeXm5ZKN7cXExZDKZZP7OJCUlmdx8T0RERL%2BMqQsWpaWlRm9k6y7y77//HqdOncKrr76KAwcOYPLkyXjhhRfw9ttv45///Of/uXF7ezu0Wi3%2B/ve/Izc3F56enkY1TU1NqKurMxp///33AQBTp04Vx3x8fGBnZ4e0tDRJbVpaGtRqNaZNmyaOBQUF4ebNm8jPzxfH9Ho9cnNzERgYCKVSCQDo06cPfH19kZWVJXnXYmZmJurr6yUPD505cyYUCgVSU1Ml82/fvh1OTk7w8vJ6pPNCRERETz8FAPzud7/D7373O3zwwQc4ePAgsrKysG3bNmzcuBGjRo1CWFgYQkJCTL7brjPLly/HgQMHEBgYCL1ej127dkmOv/rqq7hx4wbGjBmDkJAQ8arQwYMHUVhYiICAAAQGBor11tbWWLt2LaKioqDVauHn54fjx49j9%2B7dSEhIQN%2B%2BfcXaoKB4%2BPItAAAgAElEQVQgJCcnY/78%2Bfjmm2/g4OCA1NRUtLe347333pOsY926dRg/fjwmTpyIiIgIXL9%2BHVu2bIGfnx%2BmTJki1jk5OWHZsmVITExEc3Mzxo0bh7179%2BLUqVPYvXs3HzJKREREIplw7%2BfT3OPOnTtYuHChuCldLpdj8uTJiImJgZ%2Bf30Mb//73v8fx48c7Pd7W1oaamhosWbIExcXFqKqqQltbG4YNG4bXXnsNsbGx6NGjh9HrMjIysHnzZvzrX//CoEGDEB0djejoaKO6mpoaxMXFYd%2B%2BfTAYDPD09ERiYiLGjBljVHv69GmsXLkSpaWlsLGxwZw5c5CQkCB5%2BGiHDRs2ID09HTqdDs7OzoiPj5c8dsKUjkuU586d4y1CIqIu1PH/7Yg3tqHXwGGWXo5Ew40r%2BPajaP4u6EaW/P1rFLCKi4uRlZWFPXv2QK/XY8SIEQgNDYVSqcRHH32E8vJyvPvuu1izZk23LvRJxoBFRNQ9GLDoXpb8/asAgEuXLiErKwu7d%2B/Gv/71Lzg4OCAkJAShoaEYO3asWBwbG4sFCxZg27ZtDFhEREREnVCMHTsW58%2Bfh5WVFaZPn46kpCRMnTrV6HMEO/j6%2BuKvf/1rNy%2BTiIiI6MmhsLa2RmpqKubMmSPZKN6ZwMBAXL58uRuWRkRERPRkUph6XtSDqNVqDB06tIuWQ0RERPTkk5eVlSE9Pb3Tgh07duDrr7/uxiURERERPdnk8fHxKCws7LTg0KFDeOedd7pxSURERERPNnlJSQkmTpzYacHLL7%2BMs2fPduOSiIiIiJ5s8traWlhZWXVa0KNHD4t%2BWCIRERHRk0bu7OyML7/8stOC//mf/8GvfvWrblwSERER0ZNNPn/%2BfBw4cAArVqxAbW2teODu3buIi4vDF198gTfeeMOCSyQiIiJ6siiWLVuG0tJSJCYmIjk5Gc8//zwAoKKiAq2trQgJCUFsbKyFl0lERET05FDIZDL87W9/Q1hYGPLy8nD16lUAgJ%2BfH2bPng1fX18LL5GIiIjoySJ%2BHs6UKVMwZcoUS66FiIiI6Kkgt/QCiIiIiJ42cgDIyMiAl5cXBg4ciJ49e8LKykry1bNnT0uvk4iIiOiJoVi1ahU2bdqEUaNGISgoCM8995yl10RERET0RFN89NFHmDVrFnJzcy29FiIiIqKngtxgMOCVV16x9DqIiIiInhry3//%2B9zh37pyl10FERET01JCnpqbixIkT2LhxI%2B7cuWPp9RARERE98eSjRo3C9evX8fbbb8Pe3h62traws7OTfNnb21t6nURERERPDMW0adMgk8ksvQ4iIiKip4YiKyvL0msgIiIieqrwSe5EREREZiYHgIqKCkRFReGll15Cv379cOLECQCAXq/H8uXLUVZWZtFFEhERET1JFOXl5Xj55ZfR0tKCcePGoby8HC0tLQAABwcHHDlyBHfv3sWHH35o4aUSERERPRnkK1asQO/evfHdd98hOzsbgiBICqZNmyZe0XocJSUliIqKwsiRI9G7d28MHjwYc%2BbMweXLl41qy8vL4e/vDxsbG9jb2yMsLAx6vd5k34yMDLi6ukKlUsHFxQUpKSkm62pqahAREYH%2B/fujd%2B/e8PHxwfnz503Wnj59GhMmTIBarYZGo8HSpUtRX19vVCcIAjZu3IghQ4ZApVJh9OjRyMnJeYyzQkRERM8C%2BbFjx7Bo0SIMGDDA5LsJBw8ejMrKysduvGHDBuzduxe%2Bvr744IMPsHDhQhw/fhzu7u64ePGiWFdZWYmXX34ZV69exfr16xEXF4eCggK88soraG1tlfRMT09HeHg4Ro0ahZSUFHh5eWHJkiXYtGmTpE4QBAQEBCAnJ0c8fuvWLXh7e%2BP777%2BX1JaVlcHX1xeNjY1ISkpCeHg4duzYAa1Wa/QzxcfHY9WqVfDz80NKSgoGDx6MefPmYc%2BePY99foiIiOjppWhra4Nare60QK/XQ6lUPnbj2NhYZGdnQ6FQiGNarRajRo3C%2BvXrkZmZCQBYt24dDAYDysrK4OTkBAAYN24cpkyZgo8//hhvvvkmAKCxsRGrV6/GjBkz8MknnwAAFixYgLa2NqxduxYRERGwtbUFAHz66ac4c%2BYM8vLyMGvWLABAcHAwXFxcsGbNGtz7zsn4%2BHjY2dnh2LFj4nkYPHgwIiIiUFRUBF9fXwBAVVUVtmzZgujoaGzdulWcf9KkSYiLi0NwcDAfd0FEREQAAPmYMWNw8OBBkwfb2tqQk5OD//iP/3jsxr/97W8l4QoAhg0bhpdeegnffvutOJafn4/p06eL4QoAJk%2BeDBcXF8mVoSNHjqC6uhqLFi2S9Fy8eDHq6upQUFAgjuXl5WHgwIFiuAJ%2B3k%2Bm1Wqxf/9%2BcY9ZbW0tioqKEBoaKgmZYWFhUKvVkvn37duH1tZWREZGSuaPjIxERUUFzpw581jnh4iIiJ5e8lWrVqGgoADR0dEoLy8H8PNVq6NHj8Lf3x8XL17EqlWrzDbhzZs34eDgAODnq0I//fQTxo4da1Tn6ekp2TPV8XcPDw9JnYeHB%2BRyuVGtu7u7yZ4NDQ24dOkSAODChQtobW016qlUKuHm5ibpWVZWBrVajeHDhxv1FASh0/1dRERE9OyRT5s2DRkZGfjb3/6GiRMnAgBCQkIwefJkfPXVV/joo4/g7e1tlsmysrJQWVmJuXPnAgB0Oh0AQKPRGNVqNBpUV1eLV5t0Oh169OghhrMOSqUS9vb2qKqqEsd0Ol2nPQGItTqdDjKZrNPa%2B3sOGDDgoT2JiIiIFADw%2BuuvY/bs2Th48CCuXLmC9vZ2DB06FFOnThX3Nf1S5eXliIqKwvjx4xEWFgYAMBgMAICePXsa1VtbW4s1SqUSBoMBVlZWJntbW1uLvTpe01lPQRDE2ofN/6g97%2B1FREREJG6SsrGxQXBwcJdMcvPmTUybNg3PPfccPv30U3EzuEqlAgA0NTUZvaaxsVFSo1Kp0NzcbLJ/Y2OjWNdR21lPmUwm6fmg%2BR%2B15729iIiIiBSPemvL0dHx/zTB3bt34e/vj7t37%2BLkyZMYOHCgeKzj9lrHrcJ76XQ62NnZie9g1Gg0aGtrg16vl9wmbGlpwe3btyXr02g0nfa892fRaDQQBKHT2vt7Hj169KE9HyQmJsboimBISAhCQkIe%2BloiIiLqXHZ2NrKzsyVjNTU1FloNoHj%2B%2Becf6fECbW1tj928qakJ06dPx5UrV3D48GH8%2Bte/lhx3dHREv379UFJSYvTar776Cm5ubuL3bm5uEAQBJSUl8Pf3F8fPnj2L9vZ2o9qTJ08a9SwuLkavXr3g4uICABg5ciQUCgVKSkoQFBQk1rW0tKCsrAxz5syR9MzIyEB5eblko3txcTFkMplk/s4kJSWZ3HxPREREv4ypCxalpaVGb2TrLvIdO3bg/q%2B0tDSsXLkSjo6O8PDwwI4dOx67cXt7O7RaLf7%2B978jNzcXnp6eJutmz56Nzz//XPIw08OHD%2BPSpUuSh336%2BPjAzs4OaWlpktenpaVBrVZj2rRp4lhQUBBu3ryJ/Px8cUyv1yM3NxeBgYHiVbE%2BffrA19cXWVlZkie3Z2Zmor6%2BXjL/zJkzoVAokJqaKpl/%2B/btcHJygpeX1%2BOcHiIiInqKKToe5GlKfHw8PD09xX1Gj2P58uU4cOAAAgMDodfrsWvXLsnxV199VZwjNzcX3t7eWLp0KWpra5GYmIjRo0fj9ddfF%2Butra2xdu1aREVFQavVws/PD8ePH8fu3buRkJCAvn37irVBQUFITk7G/Pnz8c0338DBwQGpqalob2/He%2B%2B9J1nHunXrMH78eEycOBERERG4fv06tmzZAj8/P0yZMkWsc3JywrJly5CYmIjm5maMGzcOe/fuxalTp7B7924%2BZJSIiIhEigcd7N27N9544w1s3rwZixcvfqzG//jHPyCTyXDgwAEcOHDA6HhHwHr%2B%2Bedx7NgxLF%2B%2BHG%2B//TasrKwwffp0JCYmGj1BPjIyElZWVti8eTMOHDiAQYMGITk5GdHR0ZI6uVyOwsJCxMXFYdu2bTAYDPD09ERmZiacnZ0ltWPGjEFRURFWrlyJ5cuXw8bGBuHh4UhISDBa84YNG2BnZ4f09HTs3LkTzs7O2LVrl%2BRWIhEREdEDA1YHU5vAH%2BbIkSOPXDtixAgUFhY%2BUu2CBQuwYMGCh9bZ2tqKtzwfxsvL65E/0HrlypVYuXLlI9USERHRs6nTgNXQ0IDjx48jMTHxkTZwExEREdHPFEql0uT%2Boba2NgiCACcnJ/z5z3%2B2wNKIiIiInkyKlStXGgUsmUyG5557Tnya%2B/17oYiIiIioc4r//u//tvQaiIiIiJ4qcksvgIiIiOhpo4iIiHjsF8lkMqSnp3fBcoiIiIiefIrCwkIYDAZUV1cD%2BPlDnwGgtrYWAGBnZ2f0QcZ8qCYRERFR5%2BRffvklevXqhRUrVqCqqgo1NTWoqalBVVUV4uLioFarUVRUhOvXr4tfP/74o6XXTURERPRvSxEVFYUpU6Zg/fr1kgMDBw7Ehg0boNfrERUVhS%2B//NJCSyQiIiJ6ssiLi4sxduzYTgvGjh2LM2fOdOOSiIiIiJ5s8r59%2B%2BLQoUOdFhQWFsLW1rYbl0RERET0ZJNHRETgs88%2Bw%2BzZs3H06FFUVFSgoqICR44cwR/%2B8AcUFBRg4cKFll4nERER0RND8cc//hEGgwGbN2/Gvn37JAd79OiB//qv/8K7775roeURERERPXkUMpkMf/rTnxATE4NDhw6J7xAcPHgwpkyZggEDBlh4iURERERPFkXHX/r374/Q0FBLroWIiIjoqSAHgPb2duTm5mLx4sUIDg7GP//5TwDA3bt38dlnn%2BGnn36y6CKJiIiIniTyu3fv4uWXX4ZWq8XHH3%2BM/Px8MVD16tULkZGR2Lp1q4WXSURERPTkkK9atQr/%2BMc/UFBQgGvXrkEQBPGgQqFAUFAQvvjiCwsukYiIiOjJIt%2B7dy%2Bio6MxdepUyOVyowIXFxdcu3at%2B1dGRERE9ISS/%2B///i%2BGDBnSaUFraytaWlq6cUlERERETzb50KFDcf78%2BU4LioqKMGLEiG5cEhEREdGTTb5gwQJ89NFHyMvLEwdlMhlaWlqwZs0afPHFF4iIiLDgEomIiIieLIqYmBhcuHABwcHBsLe3BwCEhoZCr9ejubkZCxYsQHh4uIWXSURERPTkUMhkMvz1r3/Ff/7nfyI3NxeXL19Ge3s7hg4dCq1WCx8fH0uvkYiIiOiJovjiiy/wwgsvwNvbG97e3pZeDxEREdETTz5r1iycOHHC0usgIiIiemrIhw0bhurq6i5pXl9fjzVr1mDq1Kmwt7eHXC5HZmamUd38%2BfMhl8uNvlxdXU32zcjIgKurK1QqFVxcXJCSkmKyrqamBhEREejfvz969%2B4NHx%2BfTt8xefr0aUyYMAFqtRoajQZLly5FfX29UZ0gCNi4cSOGDBkClUqF0aNHIycn5zHOChERET3tFKtWrcLKlSsxZ84cDBs2zKzN9Xo91q5di8GDB8PNzQ1Hjx7ttNba2hoZGRmSJ8nb2toa1aWnpyMyMhLBwcGIjY3FiRMnsGTJEhgMBsTFxYl1giAgICAAFy5cwIoVK2Bvb4/U1FR4e3ujtLQUQ4cOFWvLysrg6%2BsLV1dXJCUloaKiAps2bcKVK1dQUFAgmT8%2BPh4bNmzAwoULMXbsWOzfvx/z5s2DXC6HVqv9BWeLiIiInhaK8%2BfP47nnnoOrqysmT56MF198ESqVSlIkk8mwefPmx27u6OiIGzduoH///jh37hzGjRvX%2BUIUCoSEhDywX2NjI1avXo0ZM2bgk08%2BAQAsWLAAbW1tWLt2LSIiIsRQ9umnn%2BLMmTPIy8vDrFmzAADBwcFwcXHBmjVrkJWVJfaNj4%2BHnZ0djh07BrVaDQAYPHgwIiIiUFRUBF9fXwBAVVUVtmzZgujoaPHzGRcsWIBJkyYhLi4OwcHBkMlkj32eiIiI6OmiSE5OFr85dOiQyaL/a8BSKpXo37//I9e3t7ejvr4eNjY2Jo8fOXIE1dXVWLRokWR88eLF2LVrFwoKCjBv3jwAQF5eHgYOHCiGKwBwcHCAVqvFrl270NLSAqVSidraWhQVFSE2NlYMVwAQFhaGmJgY7NmzRwxY%2B/btQ2trKyIjIyXzR0ZG4tVXX8WZM2fg5eX1yD8vERERPZ3kLS0teNhXc3Nzly%2BkoaEBffr0ga2tLezt7REVFWW0B6pj/5SHh4dk3MPDA3K5XLK/6vz583B3dzeax9PTEw0NDbh06RIA4MKFC2htbTXqqVQq4ebmJulZVlYGtVqN4cOHG/UUBOGBT8QnIiKiZ4eiR48ell4DHB0dsWLFCri7u6O9vR0HDx5Eamoqvv76axw9elT8EGqdTocePXrAwcFB8nqlUgl7e3tUVVWJYzqdDpMmTTKaS6PRAPj5dt9LL70EnU4HmUwmjt9fe/LkSUnPAQMGPLAnERERkQIAbt%2B%2Bjf79%2B%2BPLL7%2B0yINF161bJ/leq9XC2dkZq1evRm5urrh53GAwwMrKymQPa2trGAwG8XuDwYCePXuarBMEQazt%2BLOz2kfteW8vIiIierbJO/5y77v3/h3ExMRAJpOhqKhIHFOpVJ3ermxsbJRszlepVGhqajJZJ5PJxNqOPzurfdSe9/YiIiKiZ5vC0gvojLW1Nezt7SXP6NJoNGhra4Ner5fcJmxpacHt27fh6OgoqdXpdEZ9O8Y6ajUaDQRB6LT2/p6mHjVxf8/OxMTEGD16IiQk5KHvniQiIqIHy87ORnZ2tmSspqbGQqv5Nw5YdXV10Ov16Nevnzjm5uYGQRBQUlICf39/cfzs2bNob2%2BHm5ubpPbe/VMdiouL0atXL7i4uAAARo4cCYVCgZKSEgQFBYl1LS0tKCsrw5w5cyQ9MzIyUF5eLtnoXlxcDJlMJpnflKSkJJMb74mIiOiXMXXBorS01OhNbN1FXlpaiq%2B//hoAcPnyZZSWlpr86ipNTU2oq6szGn///fcBAFOnThXHfHx8YGdnh7S0NEltWloa1Go1pk2bJo4FBQXh5s2byM/PF8f0ej1yc3MRGBgIpVIJAOjTpw98fX2RlZUleddiZmYm6uvrJQ8PnTlzJhQKBVJTUyXzb9%2B%2BHU5OTnxEAxEREQEAFPc%2B/PP%2B50sBP%2B/NkslkaGtr%2Bz9N8Oc//xl37txBZWUlAOCzzz7D9evXAQBLlixBdXU1xowZg5CQEPGq0MGDB1FYWIiAgAAEBgaKvaytrbF27VpERUVBq9XCz88Px48fx%2B7du5GQkIC%2BffuKtUFBQUhOTsb8%2BfPxzTffwMHBAampqWhvb8d7770nWeO6deswfvx4TJw4EREREbh%2B/Tq2bNkCPz8/TJkyRaxzcnLCsmXLkJiYiObmZowbNw579%2B7FqVOnsHv3bj5klIiIiAAAio8%2B%2BqhLJ0hMTMSPP/4I4OcHlu7duxd79%2B4FAISGhqJv376YMWMGioqKkJmZiba2NgwbNgzr169HbGysUb/IyEhYWVlh8%2BbNOHDgAAYNGoTk5GRER0dL6uRyOQoLCxEXF4dt27bBYDDA09MTmZmZcHZ2ltSOGTMGRUVFWLlyJZYvXw4bGxuEh4cjISHBaP4NGzbAzs4O6enp2LlzJ5ydnbFr1y7JrUQiIiJ6tsmEf7e3Dz6FOu4Bnzt3jnuwiIi6UMf/tyPe2IZeA837%2Bbq/VMONK/j2o2j%2BLuhGlvz9K394CRERERE9DgYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjNjwCIiIiIyMwYsIiIiIjPr0oBVX1%2BPNWvWYOrUqbC3t4dcLkdmZqbJ2vLycvj7%2B8PGxgb29vYICwuDXq83WZuRkQFXV1eoVCq4uLggJSXFZF1NTQ0iIiLQv39/9O7dGz4%2BPjh//rzJ2tOnT2PChAlQq9XQaDRYunQp6uvrjeoEQcDGjRsxZMgQqFQqjB49Gjk5OY94RoiIiOhZ0KUBS6/XY%2B3atSgvL4ebmxtkMpnJusrKSrz88su4evUq1q9fj7i4OBQUFOCVV15Ba2urpDY9PR3h4eEYNWoUUlJS4OXlhSVLlmDTpk2SOkEQEBAQgJycHPH4rVu34O3tje%2B//15SW1ZWBl9fXzQ2NiIpKQnh4eHYsWMHtFqt0Vrj4%2BOxatUq%2BPn5ISUlBYMHD8a8efOwZ8%2BeX3i2iIiI6Gmh6Mrmjo6OuHHjBvr3749z585h3LhxJuvWrVsHg8GAsrIyODk5AQDGjRuHKVOm4OOPP8abb74JAGhsbMTq1asxY8YMfPLJJwCABQsWoK2tDWvXrkVERARsbW0BAJ9%2B%2BinOnDmDvLw8zJo1CwAQHBwMFxcXrFmzBllZWeL88fHxsLOzw7Fjx6BWqwEAgwcPRkREBIqKiuDr6wsAqKqqwpYtWxAdHY2tW7eK80%2BaNAlxcXEIDg7uNEQSERHRs6NLr2AplUr079//oXX5%2BfmYPn26GK4AYPLkyXBxcZFcGTpy5Aiqq6uxaNEiyesXL16Muro6FBQUiGN5eXkYOHCgGK4AwMHBAVqtFvv370dLSwsAoLa2FkVFRQgNDRXDFQCEhYVBrVZL5t%2B3bx9aW1sRGRkpmT8yMhIVFRU4c%2BbMQ39WIiIievpZfJN7VVUVfvrpJ4wdO9bomKenp2TPVMffPTw8JHUeHh6Qy%2BVGte7u7iZ7NjQ04NKlSwCACxcuoLW11ainUqmEm5ubpGdZWRnUajWGDx9u1FMQhE73dxEREdGzxeIBS6fTAQA0Go3RMY1Gg%2BrqavFqk06nQ48ePeDg4CCpUyqVsLe3R1VVlaRvZz0BiLU6nQ4ymazT2vt7Dhgw4KE9iYiI6Nlm8YBlMBgAAD179jQ6Zm1tLakxGAywsrIy2cfa2lqs66jtrKcgCJKeD5r/UXve24uIiIiebRYPWCqVCgDQ1NRkdKyxsVFSo1Kp0NzcbLJPY2OjWNdR21lPmUwm6fmg%2BR%2B15729iIiI6NnWpe8ifBQdt9c6bhXeS6fTwc7ODkqlUqxta2uDXq%2BX3CZsaWnB7du34ejoKOnbWU8AYq1Go4EgCJ3W3t/z6NGjD%2B3ZmZiYGPFdjh1CQkIQEhLywNcRERHRg2VnZyM7O1syVlNTY6HV/BsELEdHR/Tr1w8lJSVGx7766iu4ubmJ37u5uUEQBJSUlMDf318cP3v2LNrb241qT548adSzuLgYvXr1gouLCwBg5MiRUCgUKCkpQVBQkFjX0tKCsrIyzJkzR9IzIyMD5eXlko3uxcXFkMlkkvlNSUpKMrnxnoiIiH4ZUxcsSktLjd7E1l0sfosQAGbPno3PP/8clZWV4tjhw4dx6dIlycM%2BfXx8YGdnh7S0NMnr09LSoFarMW3aNHEsKCgIN2/eRH5%2Bvjim1%2BuRm5uLwMBA8apYnz594Ovri6ysLMmT2zMzM1FfXy%2BZf%2BbMmVAoFEhNTZXMv337djg5OcHLy%2BsXngkiIiJ6GnT5Faw///nPuHPnjhiePvvsM1y/fh0AsGTJEtjY2CA%2BPh65ubnw9vbG0qVLUVtbi8TERIwePRqvv/662Mva2hpr165FVFQUtFot/Pz8cPz4cezevRsJCQno27evWBsUFITk5GTMnz8f33zzDRwcHJCamor29na89957kjWuW7cO48ePx8SJExEREYHr169jy5Yt8PPzw5QpU8Q6JycnLFu2DImJiWhubsa4ceOwd%2B9enDp1Crt37%2BZDRomIiAhANwSsxMRE/PjjjwAAmUyGvXv3Yu/evQCA0NBQ2NjY4Pnnn8exY8ewfPlyvP3227CyssL06dORmJgoXmnqEBkZCSsrK2zevBkHDhzAoEGDkJycjOjoaEmdXC5HYWEh4uLisG3bNhgMBnh6eiIzMxPOzs6S2jFjxqCoqAgrV67E8uXLYWNjg/DwcCQkJBj9PBs2bICdnR3S09Oxc%2BdOODs7Y9euXZJbiURERPRskwmCIFh6EU%2B7jnvA586d4x4sIqIu1PH/7Yg3tqHXwGGWXo5Ew40r%2BPajaP4u6EaW/P37b7EHi4iIiOhpwoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGYMWERERERmxoBFREREZGb/FgHr2LFj/6%2B9uw%2BKqnz7AP49C7vswoLJgrmYo5OwTWa2hZFoOQ7pQEo6JqxaifqYNJZl2ohj09ukqJWlqUMv6pM5GFHqTC9aM%2BGglS8hKo5aDulkI8IPQ1JeXFiE6/nD4TzsbxeBPMsu%2Bv3MnBn3Pte59z7X3ivXnHO4gU6n89iCgoJQVFTkFnvq1CmkpKQgPDwcFosFGRkZqKqq8trvpk2bMHjwYJhMJthsNqxfv95r3OXLl5GZmYk%2BffrAbDYjKSkJR48e9Rq7f/9%2BPPzwwwgLC4PVasX8%2BfNRX19/YwkgIiKim0qwvwfQ1ksvvYRhw4a5tcXGxqr/Pn/%2BPB555BH07t0bK1euRG1tLd59912cOHECRUVFCA7%2B/9P5%2BOOPMXfuXKSnp%2BPll1/Gzz//jBdffBFOpxOLFi1S40QE48aNw/Hjx5GVlQWLxYKcnByMHj0aR44cwaBBg8kLBIgAABHlSURBVNTYkpISjBkzBoMHD8bq1atRVlaGd999F6dPn8bOnTt9mBkiIiLqSQKqwHr44YfxxBNPtLs/OzsbTqcTJSUl6NevHwDgwQcfxNixY7F582Y888wzAICGhga8%2BuqrePzxx5Gfnw8AmD17Npqbm7F06VJkZmaiV69eAICvvvoKBw4cwPbt2zFp0iQAQHp6Omw2G9544w3k5uaq7//KK68gMjISe/fuRVhYGABgwIAByMzMREFBAcaMGaN9UoiIiKjHCYhbhG3V1dWhubnZ674dO3YgNTVVLa4A4NFHH4XNZsOXX36pthUWFqK6uhrPPfec2/HPP/886urq3K42bd%2B%2BHX379lWLKwCIioqCw%2BHA119/jaamJgBAbW0tCgoKMH36dLW4AoCMjAyEhYW5vT8RERHd2gKqwJo1axYiIiJgNBqRlJSEw4cPq/vKy8tx4cIFj1uIAJCQkOD2zFTrv%2BPj493i4uPjodPpPGIfeOABr31euXIFpaWlAIDjx4/j6tWrHn3q9XrY7fZ2n9kiIiKiW09AFFgGgwFpaWn44IMP8M033yA7OxsnTpzAqFGjcOzYMQBARUUFAMBqtXocb7VaUV1drV5tqqioQFBQEKKiotzi9Ho9LBYLysvL1baKiop2%2BwSgxlZUVEBRlHZj2/ZJREREt7aAeAYrMTERiYmJ6uvU1FRMnjwZQ4cOxZIlS7Br1y44nU4AQEhIiMfxRqMRAOB0OqHX6%2BF0OmEwGLy%2Bl9FoVPtqPaa9PkVEje3o/dv2SURERLe2gLiC5c2gQYMwceJEFBYWQkRgMpkAAI2NjR6xDQ0NAKDGmEwmuFwur/02NDSoca2x7fWpKIpbn9d7/7Z9EhER0a0tIK5gtad///5wuVyor69Xb8213ipsq6KiApGRkdDr9QCu3bJrbm5GVVWV223CpqYmXLx4ETExMWqb1Wptt08AaqzVaoWItBvbts/2LFiwQP3txVbTpk3DtGnTOjyWiIiI2peXl4e8vDy3tsuXL/tpNAFeYJ05cwZGoxFmsxlmsxnR0dEoLi72iCsqKoLdbldf2%2B12iAiKi4uRkpKith86dAgtLS0esb/88otHnwcPHkRoaChsNhsAYMiQIQgODkZxcTHS0tLUuKamJpSUlGDKlCkdns/q1au9PlBPREREN8bbBYsjR454/HJadwmIW4TeVmI/duwYvv32WyQnJ6ttkydPxnfffYfz58%2Brbbt370ZpaSkcDofalpSUhMjISHz44YdufX744YcICwvD%2BPHj1ba0tDRUVlZix44dbuPZtm0bJkyYoF4Vi4iIwJgxY5Cbm%2Bu2cvuWLVtQX1/v9v5ERER0awuIK1hTpkyByWTCiBEj0KdPH5w8eRIbNmyA2WzGihUr1LhXXnkF27Ztw%2BjRozF//nzU1tZi1apVuO%2B%2B%2BzBz5kw1zmg0YunSpZg3bx4cDgeSk5Px008/4fPPP8fy5ctx2223qbFpaWlYs2YNZs2ahZMnTyIqKgo5OTloaWnBm2%2B%2B6TbO7OxsjBw5EqNGjUJmZibOnTuH999/H8nJyRg7dqyv00REREQ9REAUWJMmTcLWrVuxevVq1NTUIDo6GmlpaXj99ddx5513qnF33HEH9u7di4ULF2LJkiUwGAxITU3FqlWr1CtNrebOnQuDwYD33nsP3377Lfr37481a9bghRdecIvT6XT4/vvvsWjRIqxbtw5OpxMJCQnYsmUL4uLi3GLvv/9%2BFBQUYPHixVi4cCHCw8MxZ84cLF%2B%2B3HfJISIioh5HERHx9yBudq33gA8fPsxnsIiIfKj1/9u7/2cdQvvGdnxAN7ryn9P4/X9f4M%2BCbuTPn78B8QwWERER0c2EBRYRERGRxlhgEREREWmMBRYRERGRxlhgEREREWmMBRYRERGRxlhgEREREWmMBRYRERGRxgJiJfdbRbrj2p8ECiQREb3wZX4e7rjjDn8PhYiI6KbBAqsbVRus0Ifc1nFgN5GWZpzcvwuFhYWYPn26v4dDRER002CB1Y2siY6A%2BtMNLVddqDq6y9/DICIiuunwGSwiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHAIiIiItIYCywiIiIijbHA6iKXy4XFixejX79%2BCA0NxfDhw1FQUODvYREREVEAYYHVRTNmzMCaNWswffp0rF27FsHBwRg3bhz279/v76ERERFRgGCB1QVFRUXIz8/HypUrsXLlSjzzzDPYvXs3BgwYgKysLH8Pj64jLy/P30O4pTH//sX8%2B1f1yT3%2BHgL5AQusLti2bRuCg4MxZ84ctS0kJASzZ8/GgQMHcP78eT%2BOjq6HP2D8i/n3L%2Bbfv6p/2%2BPvIZAfsMDqgpKSEthsNpjNZrf2hIQEdT8RERERC6wuqKiogNVq9Wi3Wq0QEZSXl/thVERERBRoWGB1gdPpREhIiEe70WhU9xMREREF%2B3sAPYnJZEJjY6NHe0NDg7rfm9bC6%2BzONQgyeI/xB5EWAMDx48exdetWP4/Gk06nQ0tLiyZ9lZWVaXqOWo5Na4E4trKyMuTl5QXcuFoFYs5aaTE2rec/ELg5%2B/PPPwEAl04fgrPqnJ9Hc42rpgoXTxSi8dJ/AAC///67n0d062jNtV8ugAh12tixY%2BWee%2B7xaN%2B9e7coiiLfffed1%2BNyc3MFADdu3Lhx48bND1tubq6vSwQPvILVBXa7HXv27EFdXZ3bg%2B4HDx6Eoiiw2%2B1ej0tOTkZubi4GDhzY7lUuIiIi0pbT6cTZs2eRnJzc7e%2BtiIh0%2B7v2UEVFRRg%2BfDhWrVqFhQsXAri2svuQIUMQHR2Nffv2%2BXmEREREFAh4BasLEhISkJ6ejiVLlqCyshKxsbHYvHkz/vrrL3z66af%2BHh4REREFCF7B6iKXy4XXXnsNubm5%2BOeffzB06FAsW7YMY8aM8ffQiIiIKECwwCIiIiLSGNfBIiIiItIYCywfcrlcWLx4Mfr164fQ0FAMHz4cBQUF/h5Wj7V3717odDqPLSgoCEVFRW6xp06dQkpKCsLDw2GxWJCRkYGqqiqv/W7atAmDBw%2BGyWSCzWbD%2BvXru%2BN0Al59fT3eeOMNPPbYY7BYLNDpdNiyZYvXWF/k%2B/Lly8jMzESfPn1gNpuRlJSEo0ePanZ%2Bga6z%2BZ81a5bX78XgwYO99sv8d6y4uBjz5s3DkCFDYDabMWDAAEyZMgV//PGHRyznvvY6m/%2BAn/vdvjDELWTq1KliMBhk8eLFsmHDBhk5cqTo9XrZt2%2Bfv4fWI%2B3Zs0cURZEFCxbI1q1b3baLFy%2BqcWVlZRIVFSVxcXGyfv16WbFihURGRsr9998vTU1Nbn1%2B9NFHoiiKOBwO2bhxo8yYMUMURZF33nmnu08v4Jw9e1YURZGBAwdKUlKS6HQ6%2BeyzzzzifJHvlpYWGTFihISHh8vSpUslJydHhgwZIhEREXL69Gmfnneg6Gz%2BZ86cKSaTST7//HO374S3dfmY/85JS0uTmJgYmT9/vmzatEmys7Olb9%2B%2BYjab5eTJk2oc575vdDb/gT73WWD5yK%2B//iqKosj777%2BvtjU0NEhsbKyMHDnSjyPruVoLrO3bt183bu7cuRIWFiZlZWVqW0FBgSiKIhs2bFDbnE6nREVFyYQJE9yOf/rppyU8PFwuXbqk7Qn0MC6XSyorK0VEpLi4WBRF8foD3hf5zs/PF0VRZMeOHWrb33//Lb1795annnpKs3MMZJ3N/8yZMyU8PLzD/pj/zjtw4IBHgfTHH3%2BI0WiU6dOnq22c%2B77R2fwH%2BtxngeUjixYtEr1eL7W1tW7tK1asEJ1O5/aFpM5pW2DV1tbK1atXvcbdfvvtMmXKFI/2u%2B66S8aOHau%2B3rVrl%2Bh0Ovnhhx/c4g4cOCCKosjWrVu1PYEe7Ho/4H2Rb4fDIVar1aPPZ599Vsxms7hcrhs5nR6nMwVWc3Oz1NTUtNsH83/j4uPjZdiwYeprzv3u9d/5D/S5z2ewfKSkpAQ2m81txXfg2lparfvp35k1axYiIiJgNBqRlJSEw4cPq/vKy8tx4cIFDBs2zOO4hIQEt/vorf%2BOj493i4uPj4dOp7ulnnn4t3yV76NHj%2BKBBx7w2ueVK1dQWlqq1SncFK5cuYKIiAj06tULFosF8%2BbNQ319vVsM83/jKisrERUVBYBz3x/a5r9VIM99Flg%2BUlFRAavV6tFutVohIigvL/fDqHo2g8GAtLQ0fPDBB/jmm2%2BQnZ2NEydOYNSoUTh27BiAa3kH0G7uq6ur0dTUpMYGBQV5fGH1ej0sFgs/o07wVb6v9/0BwM%2BmjZiYGGRlZWHz5s344osvMHHiROTk5OCxxx5z%2B2PMzP%2BNyc3Nxfnz5zF16lQAnPvd7b/zDwT%2B3OdK7j7idDoREhLi0W40GtX91DWJiYlITExUX6empmLy5MkYOnQolixZgl27dql57Sj3er0eTqcTBoPB63sZjUZ%2BRp3gq3xf7/sjIvxs2sjOznZ77XA4EBcXh1dffRXbtm2Dw%2BEAAOb/Bpw6dQrz5s3DyJEjkZGRAYBzvzt5yz8Q%2BHOfV7B8xGQyobGx0aO9oaFB3U83btCgQZg4cSIKCwshImpeO5N7k8kEl8vltd%2BGhgZ%2BRp3gq3xf7/ujKAo/mw4sWLAAiqK4LQvD/P87lZWVGD9%2BPHr37o2vvvoKiqIA4NzvLu3lvz2BNPdZYPmI1WpVLyG31doWExPT3UO6afXv3x8ulwv19fXqZdz2ch8ZGQm9Xg/g2mfU3NzssWZNU1MTLl68yM%2BoE3yVb35/bozRaITFYkF1dbXaxvx3XU1NDVJSUlBTU4MffvgBffv2Vfdx7vve9fLfnkCa%2ByywfMRut6O0tBR1dXVu7QcPHoSiKLDb7X4a2c3nzJkzMBqNMJvNiImJQXR0NIqLiz3iioqK3PJut9shIh6xhw4dQktLCz%2BjTvBVvu12O44cOeLR58GDBxEaGgqbzabhWdx86urqUFVVhejoaLWN%2Be%2BaxsZGpKam4vTp09i5cyfuuusut/2c%2B77VUf7bE1Bzv9O/b0hd0roO1nvvvae2NTY2SlxcnIwYMcKPI%2Bu5/v77b4%2B2kpISMRgMMmnSJLXtemvTfPLJJ2qb0%2BkUi8XidW0Us9ks//zzjw/Oomf6t%2Btg/dt85%2Bfni06nc1vzrHUtmieffFLLU%2BsR2st/Q0ODx1IwIteWidHpdPL111%2Brbcx/5zU3N8uECRPEYDB4/Gp/W5z7vtGZ/PeEuc8Cy4ccDocYDAbJysqSTz75REaMGCEGg0F%2B%2BeUXfw%2BtR0pKSpLx48dLdna2bNiwQV566SUJCwuTyMhIOXXqlBp37tw5iY6OltjYWFm3bp0sX75cIiMjxW63e6xhkpOTIzqdTtLT02Xjxo2SkZEhOp1OVq5c2d2nF5DWr18vy5Ytk7lz54qiKDJ58mRZtmyZLFu2TF13xhf5bm5ulsTERImIiJC33npLXU25V69eUlpa2m3n728d5f/s2bPSu3dvee6552Tt2rWydu1aGTdunCiKIuPHj/foj/nvnPnz54uiKDJx4kTJzc312Fpx7vtGZ/LfE%2BY%2BCywfamxslKysLImJiRGTySQPPfSQ/Pjjj/4eVo%2B1bt06GT58uERFRYnBYJB%2B/frJjBkz5MyZMx6xv/32m6SkpIjZbJbIyEjJyMiQCxcueO1348aNcvfdd4vRaJS4uDhZu3atr0%2Blxxg4cKDodDqv219//aXG%2BSLfly5dkjlz5kh0dLSYzWZJSkqSI0eO%2BOQ8A1VH%2Bb906ZJkZGSIzWYTs9ksJpNJ7r33Xnn77bfbXYiX%2Be/Y6NGj2827Tqdzi%2BXc115n8t8T5r4iItL5G4pERERE1BE%2B5E5ERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESkMRZYRERERBpjgUVERESksf8DumLYRqvKIwAAAAAASUVORK5CYII%3D\"/>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-481982654833644490\">\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0</td>\n",
-       "        <td class=\"number\">31396</td>\n",
-       "        <td class=\"number\">7.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1900</td>\n",
-       "        <td class=\"number\">11142</td>\n",
-       "        <td class=\"number\">2.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1986</td>\n",
-       "        <td class=\"number\">8093</td>\n",
-       "        <td class=\"number\">1.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1955</td>\n",
-       "        <td class=\"number\">7392</td>\n",
-       "        <td class=\"number\">1.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1950</td>\n",
-       "        <td class=\"number\">7368</td>\n",
-       "        <td class=\"number\">1.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1978</td>\n",
-       "        <td class=\"number\">7079</td>\n",
-       "        <td class=\"number\">1.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1954</td>\n",
-       "        <td class=\"number\">7076</td>\n",
-       "        <td class=\"number\">1.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1983</td>\n",
-       "        <td class=\"number\">6636</td>\n",
-       "        <td class=\"number\">1.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1977</td>\n",
-       "        <td class=\"number\">6535</td>\n",
-       "        <td class=\"number\">1.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1979</td>\n",
-       "        <td class=\"number\">6396</td>\n",
-       "        <td class=\"number\">1.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (153)</td>\n",
-       "        <td class=\"number\">328649</td>\n",
-       "        <td class=\"number\">76.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-481982654833644490\">\n",
-       "            <p class=\"h4\">Minimum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0</td>\n",
-       "        <td class=\"number\">31396</td>\n",
-       "        <td class=\"number\">7.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1843</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1847</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1850</td>\n",
-       "        <td class=\"number\">4</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1851</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "            <p class=\"h4\">Maximum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2010</td>\n",
-       "        <td class=\"number\">961</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:54%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2011</td>\n",
-       "        <td class=\"number\">1033</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:58%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2012</td>\n",
-       "        <td class=\"number\">1413</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:79%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2013</td>\n",
-       "        <td class=\"number\">1792</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2014</td>\n",
-       "        <td class=\"number\">26</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">ZIP<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>78</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-3216499225510799970\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>00000</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 3.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        13290\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>55406</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 3.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        13112\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>55369</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 3.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        13043\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (75)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 90.8%\">\n",
-       "            388317\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-3216499225510799970, #minifreqtable-3216499225510799970\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-3216499225510799970\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">00000</td>\n",
-       "        <td class=\"number\">13290</td>\n",
-       "        <td class=\"number\">3.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">55406</td>\n",
-       "        <td class=\"number\">13112</td>\n",
-       "        <td class=\"number\">3.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">55369</td>\n",
-       "        <td class=\"number\">13043</td>\n",
-       "        <td class=\"number\">3.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">55311</td>\n",
-       "        <td class=\"number\">12864</td>\n",
-       "        <td class=\"number\">3.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">55416</td>\n",
-       "        <td class=\"number\">12438</td>\n",
-       "        <td class=\"number\">2.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">55423</td>\n",
-       "        <td class=\"number\">11967</td>\n",
-       "        <td class=\"number\">2.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">55418</td>\n",
-       "        <td class=\"number\">11595</td>\n",
-       "        <td class=\"number\">2.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">55407</td>\n",
-       "        <td class=\"number\">11524</td>\n",
-       "        <td class=\"number\">2.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">55347</td>\n",
-       "        <td class=\"number\">11326</td>\n",
-       "        <td class=\"number\">2.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">55422</td>\n",
-       "        <td class=\"number\">10952</td>\n",
-       "        <td class=\"number\">2.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (68)</td>\n",
-       "        <td class=\"number\">305651</td>\n",
-       "        <td class=\"number\">71.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>ZIP4</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td></td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div>\n",
-       "    <div class=\"row headerrow highlight\">\n",
-       "        <h1>Sample</h1>\n",
-       "    </div>\n",
-       "    <div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
-       "        <table border=\"1\" class=\"dataframe sample\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>ACRES_DEED</th>\n",
-       "      <th>ACRES_POLY</th>\n",
-       "      <th>AGPRE_ENRD</th>\n",
-       "      <th>AGPRE_EXPD</th>\n",
-       "      <th>AG_PRESERV</th>\n",
-       "      <th>BASEMENT</th>\n",
-       "      <th>BLDG_NUM</th>\n",
-       "      <th>BLOCK</th>\n",
-       "      <th>CITY</th>\n",
-       "      <th>CITY_USPS</th>\n",
-       "      <th>COOLING</th>\n",
-       "      <th>COUNTY_ID</th>\n",
-       "      <th>DWELL_TYPE</th>\n",
-       "      <th>EMV_BLDG</th>\n",
-       "      <th>EMV_LAND</th>\n",
-       "      <th>EMV_TOTAL</th>\n",
-       "      <th>FIN_SQ_FT</th>\n",
-       "      <th>GARAGE</th>\n",
-       "      <th>GARAGESQFT</th>\n",
-       "      <th>GREEN_ACRE</th>\n",
-       "      <th>HEATING</th>\n",
-       "      <th>HOMESTEAD</th>\n",
-       "      <th>HOME_STYLE</th>\n",
-       "      <th>LANDMARK</th>\n",
-       "      <th>LOT</th>\n",
-       "      <th>MULTI_USES</th>\n",
-       "      <th>NUM_UNITS</th>\n",
-       "      <th>OPEN_SPACE</th>\n",
-       "      <th>OWNER_MORE</th>\n",
-       "      <th>OWN_ADD_L1</th>\n",
-       "      <th>OWN_ADD_L2</th>\n",
-       "      <th>OWN_ADD_L3</th>\n",
-       "      <th>PARC_CODE</th>\n",
-       "      <th>PLAT_NAME</th>\n",
-       "      <th>PREFIXTYPE</th>\n",
-       "      <th>PREFIX_DIR</th>\n",
-       "      <th>SALE_DATE</th>\n",
-       "      <th>SALE_VALUE</th>\n",
-       "      <th>SCHOOL_DST</th>\n",
-       "      <th>SPEC_ASSES</th>\n",
-       "      <th>STREETNAME</th>\n",
-       "      <th>STREETTYPE</th>\n",
-       "      <th>SUFFIX_DIR</th>\n",
-       "      <th>Shape_Area</th>\n",
-       "      <th>Shape_Le_1</th>\n",
-       "      <th>Shape_Leng</th>\n",
-       "      <th>TAX_ADD_L2</th>\n",
-       "      <th>TAX_ADD_L3</th>\n",
-       "      <th>TAX_CAPAC</th>\n",
-       "      <th>TAX_EXEMPT</th>\n",
-       "      <th>TORRENS</th>\n",
-       "      <th>TOTAL_TAX</th>\n",
-       "      <th>UNIT_INFO</th>\n",
-       "      <th>USE1_DESC</th>\n",
-       "      <th>USE2_DESC</th>\n",
-       "      <th>USE3_DESC</th>\n",
-       "      <th>USE4_DESC</th>\n",
-       "      <th>WSHD_DIST</th>\n",
-       "      <th>XUSE1_DESC</th>\n",
-       "      <th>XUSE2_DESC</th>\n",
-       "      <th>XUSE3_DESC</th>\n",
-       "      <th>XUSE4_DESC</th>\n",
-       "      <th>YEAR_BUILT</th>\n",
-       "      <th>ZIP</th>\n",
-       "      <th>ZIP4</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>PIN</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",
-       "      <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",
-       "      <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",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>053-0102724110003</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.83</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2901</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>BLOOMINGTON</td>\n",
-       "      <td>BLOOMINGTON</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>053</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>393500.0</td>\n",
-       "      <td>1347400.0</td>\n",
-       "      <td>1740900.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>UNPLATTED 01 027 24</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2005-05-01</td>\n",
-       "      <td>925000.0</td>\n",
-       "      <td>271</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>78TH ST E</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>7416.662441</td>\n",
-       "      <td>395.645416</td>\n",
-       "      <td>1298.619232</td>\n",
-       "      <td>BLOOMINGTON MN   55425</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>34068.0</td>\n",
-       "      <td>N</td>\n",
-       "      <td>T</td>\n",
-       "      <td>72207.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Industrial</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Lower Minnesota River</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1965</td>\n",
-       "      <td>55425</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>053-0102724110004</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.90</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>7800</td>\n",
-       "      <td>001</td>\n",
-       "      <td>BLOOMINGTON</td>\n",
-       "      <td>BLOOMINGTON</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>053</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>160500.0</td>\n",
-       "      <td>1406000.0</td>\n",
-       "      <td>1566500.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>001</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>METRO OFFICE PARK</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1980-02-01</td>\n",
-       "      <td>1950000.0</td>\n",
-       "      <td>271</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>METRO PKWY</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>7676.706709</td>\n",
-       "      <td>422.894044</td>\n",
-       "      <td>1388.057469</td>\n",
-       "      <td>BLOOMINGTON MN   55425</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>30580.0</td>\n",
-       "      <td>N</td>\n",
-       "      <td>T</td>\n",
-       "      <td>64822.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Commercial</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Lower Minnesota River</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1968</td>\n",
-       "      <td>55425</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>053-0102724110005</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.58</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>7850</td>\n",
-       "      <td>001</td>\n",
-       "      <td>BLOOMINGTON</td>\n",
-       "      <td>BLOOMINGTON</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>053</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>745200.0</td>\n",
-       "      <td>1172000.0</td>\n",
-       "      <td>1917200.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>002</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>METRO OFFICE PARK</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2006-08-01</td>\n",
-       "      <td>23000000.0</td>\n",
-       "      <td>271</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>METRO PKWY</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>6399.614332</td>\n",
-       "      <td>426.557685</td>\n",
-       "      <td>1400.082610</td>\n",
-       "      <td>BLOOMINGTON MN   55439</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>38344.0</td>\n",
-       "      <td>N</td>\n",
-       "      <td>B</td>\n",
-       "      <td>81185.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Commercial</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Lower Minnesota River</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1968</td>\n",
-       "      <td>55425</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>053-0102724110006</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.78</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2950</td>\n",
-       "      <td>001</td>\n",
-       "      <td>BLOOMINGTON</td>\n",
-       "      <td>BLOOMINGTON</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>053</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>560100.0</td>\n",
-       "      <td>1315800.0</td>\n",
-       "      <td>1875900.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>003</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>METRO OFFICE PARK</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>271</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>METRO DR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>7184.857320</td>\n",
-       "      <td>421.502025</td>\n",
-       "      <td>1383.510634</td>\n",
-       "      <td>BLOOMINGTON MN   55439</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>37518.0</td>\n",
-       "      <td>N</td>\n",
-       "      <td>B</td>\n",
-       "      <td>79436.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Commercial</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Lower Minnesota River</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1969</td>\n",
-       "      <td>55425</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>053-0102724110008</th>\n",
-       "      <td>0.0</td>\n",
-       "      <td>1.90</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>7801</td>\n",
-       "      <td>001</td>\n",
-       "      <td>BLOOMINGTON</td>\n",
-       "      <td>BLOOMINGTON</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>053</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>509000.0</td>\n",
-       "      <td>1406400.0</td>\n",
-       "      <td>1915400.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>001</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>METRO OFFICE PARK 2ND ADDN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>271</td>\n",
-       "      <td>3074.0</td>\n",
-       "      <td>METRO PKWY</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>7681.696608</td>\n",
-       "      <td>422.989308</td>\n",
-       "      <td>1388.369487</td>\n",
-       "      <td>BLOOMINGTON  MN   55439</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>38308.0</td>\n",
-       "      <td>N</td>\n",
-       "      <td>T</td>\n",
-       "      <td>84182.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Commercial</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Lower Minnesota River</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1969</td>\n",
-       "      <td>55425</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "<pandas_profiling.ProfileReport at 0x1e9374e6630>"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import pandas_profiling\n",
     "\n",
@@ -10180,7 +714,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:09.773774",
@@ -10206,7 +740,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:20.512968",
@@ -10214,18 +748,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
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-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1e938d27e80>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import missingno as msno\n",
     "\n",
@@ -10241,7 +764,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:20.523477",
@@ -10264,7 +787,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:21.417227",
@@ -10293,7 +816,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:21.425736",
@@ -10301,18 +824,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(427762, 47)"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "hennepin.shape"
    ]
@@ -10340,7 +852,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:22.647028",
@@ -10365,7 +877,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:22.708957",
@@ -10381,7 +893,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:22.716970",
@@ -10389,18 +901,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(129889, 47)"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "mpls.shape"
    ]
@@ -10437,7 +938,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:24.359452",
@@ -10454,7 +955,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:24.374462",
@@ -10462,27 +963,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'geopandas.geodataframe.GeoDataFrame'>\n",
-      "RangeIndex: 2349 entries, 0 to 2348\n",
-      "Data columns (total 8 columns):\n",
-      "ALT_NAME      210 non-null object\n",
-      "AREA_ACRES    2349 non-null float64\n",
-      "NAME_DNR      1588 non-null object\n",
-      "OWF_ID        2349 non-null object\n",
-      "SYSTEM        2349 non-null object\n",
-      "Shape_Area    2349 non-null float64\n",
-      "Shape_Leng    2349 non-null float64\n",
-      "geometry      2349 non-null object\n",
-      "dtypes: float64(3), object(5)\n",
-      "memory usage: 146.9+ KB\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "water_df.info()"
    ]
@@ -10496,7 +977,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:24.412919",
@@ -10518,7 +999,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:38.691765",
@@ -10526,18 +1007,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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b19MtS07WfdxpaWnFggVzUalUPH78mGrVatCyZRNsbS0YPnxQltp7/vw5T57E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Fq2VAQxrFy5TvoDJ4Hz589y/vxZ6tSxYvXqDUp/BAqyByLoQCDIJHLnzs3Jk+e5dOlGphpr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\nmZOCTQghhBCimfv/zUiYuOFKDo4AAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1e9371e22e8>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "water_df.plot()\n",
     "plt.show()"
@@ -10552,7 +1022,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:39.249762",
@@ -10560,18 +1030,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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rr9uC/bi4ONt1euXKlRw+fJj777+fdu3a2bk3IvJVLRfwFBcXU1RURGpqKkeP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-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1e943624828>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "msno.matrix(water_df)"
    ]
@@ -10610,7 +1069,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:39.280799",
@@ -10618,76 +1077,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>ALT_NAME</th>\n",
-       "      <th>AREA_ACRES</th>\n",
-       "      <th>NAME_DNR</th>\n",
-       "      <th>SYSTEM</th>\n",
-       "      <th>Shape_Area</th>\n",
-       "      <th>Shape_Leng</th>\n",
-       "      <th>geometry</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>OWF_ID</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>27003900</th>\n",
-       "      <td>None</td>\n",
-       "      <td>168.41</td>\n",
-       "      <td>Cedar</td>\n",
-       "      <td>Lake</td>\n",
-       "      <td>6.815421e+05</td>\n",
-       "      <td>4803.870607</td>\n",
-       "      <td>POLYGON ((474663.9454 4979190.5593, 474684.879...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>70009100</th>\n",
-       "      <td>None</td>\n",
-       "      <td>793.48</td>\n",
-       "      <td>Cedar</td>\n",
-       "      <td>Lake</td>\n",
-       "      <td>3.211136e+06</td>\n",
-       "      <td>11307.426102</td>\n",
-       "      <td>POLYGON ((458834.4773 4938960.6654, 458842.693...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "         ALT_NAME  AREA_ACRES NAME_DNR SYSTEM    Shape_Area    Shape_Leng  \\\n",
-       "OWF_ID                                                                      \n",
-       "27003900     None      168.41    Cedar   Lake  6.815421e+05   4803.870607   \n",
-       "70009100     None      793.48    Cedar   Lake  3.211136e+06  11307.426102   \n",
-       "\n",
-       "                                                   geometry  \n",
-       "OWF_ID                                                       \n",
-       "27003900  POLYGON ((474663.9454 4979190.5593, 474684.879...  \n",
-       "70009100  POLYGON ((458834.4773 4938960.6654, 458842.693...  "
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# cedar lake\n",
     "cedar_lake = water_df[water_df['NAME_DNR'] == 'Cedar']\n",
@@ -10705,7 +1095,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:39.302314",
@@ -10713,28 +1103,14 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "image/svg+xml": [
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-      ],
-      "text/plain": [
-       "<shapely.geometry.polygon.Polygon at 0x1e939021358>"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "cedar_lake['geometry'].iloc[0]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:39.346383",
@@ -10742,21 +1118,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
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-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "cedar_lake['geometry'].iloc[1]"
    ]
@@ -10770,7 +1132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:39.377219",
@@ -10785,7 +1147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:39.435753",
@@ -10793,64 +1155,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>ALT_NAME</th>\n",
-       "      <th>AREA_ACRES</th>\n",
-       "      <th>NAME_DNR</th>\n",
-       "      <th>SYSTEM</th>\n",
-       "      <th>Shape_Area</th>\n",
-       "      <th>Shape_Leng</th>\n",
-       "      <th>geometry</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>OWF_ID</th>\n",
-       "      <th></th>\n",
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-       "    <tr>\n",
-       "      <th>27003900</th>\n",
-       "      <td>None</td>\n",
-       "      <td>168.41</td>\n",
-       "      <td>Cedar</td>\n",
-       "      <td>Lake</td>\n",
-       "      <td>681542.105331</td>\n",
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-       "      <td>POLYGON ((474663.9454 4979190.5593, 474684.879...</td>\n",
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-      "text/plain": [
-       "         ALT_NAME  AREA_ACRES NAME_DNR SYSTEM     Shape_Area   Shape_Leng  \\\n",
-       "OWF_ID                                                                      \n",
-       "27003900     None      168.41    Cedar   Lake  681542.105331  4803.870607   \n",
-       "\n",
-       "                                                   geometry  \n",
-       "OWF_ID                                                       \n",
-       "27003900  POLYGON ((474663.9454 4979190.5593, 474684.879...  "
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "cedar_lake"
    ]
@@ -10866,7 +1171,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "metadata": {
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      "end_time": "2017-02-08T09:14:39.718098",
@@ -10874,18 +1179,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
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aPf9wf/78zgN0ig3kgan3smHDN7aukk2IkBcsIkkSyDg8zVBVF1IaceO12Vxd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\nXpIkyYrJkJckSbJi/x+vtB8y8XD3jAAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1e943b7f080>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "buffered_cedar_lake = cedar_lake.buffer(100)\n",
     "ax = cedar_lake.plot(color='red')\n",
@@ -10903,7 +1197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:39.725104",
@@ -10927,7 +1221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:51.817901",
@@ -10962,7 +1256,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:51.827398",
@@ -10970,18 +1264,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(474116.7938611487, 4977740.731593291, 475191.1664816106, 4979300.6081)"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "cedar_bb = buffered_cedar_poly.bounds\n",
     "cedar_bb"
@@ -10996,7 +1279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:52.107841",
@@ -11004,18 +1287,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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TF61SfvYgIeG9cHXzUDqKEIpJH3k3Ub37c/Cf8zA31Ssd56qk5EWr1JTmER7d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\n8kII4cL+H1qR6NDKnHYMAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1e943b8eef0>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from shapely.geometry import box\n",
     "from descartes import PolygonPatch\n",
@@ -11045,7 +1317,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:52.116337",
@@ -11072,7 +1344,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:52.173899",
@@ -11080,18 +1352,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(457, 47)"
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "possible_matches = mpls.iloc[possible_matches_index]\n",
     "possible_matches.shape"
@@ -11108,7 +1369,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:52.301515",
@@ -11116,18 +1377,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(208, 47)"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "precise_matches = possible_matches[possible_matches.intersects(buffered_cedar_poly)]\n",
     "precise_matches.shape"
@@ -11142,7 +1392,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:53.608561",
@@ -11150,18 +1400,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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ExDBlyhQ++ugjPDw8WLt2LVOmTOHAgQMAHDt2jPXr17N8+XLMzMyYPXs2y5cv5/PPPy/G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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1e943bbd9e8>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "precise_matches.plot()\n",
     "plt.show()"
@@ -11179,7 +1418,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:53.620070",
@@ -11212,7 +1451,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:54.059436",
@@ -11228,7 +1467,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:54.157503",
@@ -11236,46 +1475,14 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 29531 entries, 0 to 29530\n",
-      "Data columns (total 20 columns):\n",
-      "analysisDate          29531 non-null datetime64[ns]\n",
-      "collectingOrg         29531 non-null object\n",
-      "comments              56 non-null object\n",
-      "county                29531 non-null object\n",
-      "gtlt                  1035 non-null object\n",
-      "parameter             29531 non-null object\n",
-      "result                29443 non-null object\n",
-      "resultUnit            29393 non-null object\n",
-      "sampleDate            29531 non-null datetime64[ns]\n",
-      "sampleTime            29531 non-null object\n",
-      "sampleDepthUnit       29531 non-null object\n",
-      "sampleFractionType    29531 non-null object\n",
-      "sampleLowerDepth      2525 non-null float64\n",
-      "sampleType            29531 non-null object\n",
-      "sampleUpperDepth      29523 non-null float64\n",
-      "stationId             29531 non-null object\n",
-      "stationName           29531 non-null object\n",
-      "statisticType         1 non-null object\n",
-      "testMethodId          29531 non-null object\n",
-      "testMethodName        29531 non-null object\n",
-      "dtypes: datetime64[ns](2), float64(2), object(16)\n",
-      "memory usage: 4.5+ MB\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "lake_qual.info()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:14:55.222287",
@@ -11283,25 +1490,14 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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dw8/Pj8cee4ynnnqKkSNHtruvzqpt+/Zz585x4sQJLly4gM1mw8vLC4CEhAS8vLxIT09n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-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x1e945627898>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "msno.matrix(lake_qual)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:05.027226",
@@ -11310,2827 +1506,7 @@
     "collapsed": false,
     "scrolled": false
    },
-   "outputs": [
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-       "    <div class=\"row headerrow highlight\">\n",
-       "        <h1>Overview</h1>\n",
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-       "    <div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-6 namecol\">\n",
-       "        <p class=\"h4\">Dataset info</p>\n",
-       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
-       "            <tbody>\n",
-       "            <tr>\n",
-       "                <th>Number of variables</th>\n",
-       "                <td>20 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Number of observations</th>\n",
-       "                <td>29531 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Total Missing (%)</th>\n",
-       "                <td>19.4% </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Total size in memory</th>\n",
-       "                <td>4.5 MiB </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Average record size in memory</th>\n",
-       "                <td>160.0 B </td>\n",
-       "            </tr>\n",
-       "            </tbody>\n",
-       "        </table>\n",
-       "    </div>\n",
-       "    <div class=\"col-md-6 namecol\">\n",
-       "        <p class=\"h4\">Variables types</p>\n",
-       "        <table class=\"stats\" style=\"margin-left: 1em;\">\n",
-       "            <tbody>\n",
-       "            <tr>\n",
-       "                <th>Numeric</th>\n",
-       "                <td>2 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Categorical</th>\n",
-       "                <td>12 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Date</th>\n",
-       "                <td>2 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Text (Unique)</th>\n",
-       "                <td>0 </td>\n",
-       "            </tr>\n",
-       "            <tr>\n",
-       "                <th>Rejected</th>\n",
-       "                <td>4 </td>\n",
-       "            </tr>\n",
-       "            </tbody>\n",
-       "        </table>\n",
-       "    </div>\n",
-       "    <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n",
-       "        <p class=\"h4\">Warnings</p>\n",
-       "        <ul class=\"list-unstyled\"><li><code>comments</code> has 29475 / 99.8% missing values <span class=\"label label-default\">Missing</span></l><li><code>county</code> has constant value Hennepin <span class=\"label label-primary\">Rejected</span></l><li><code>gtlt</code> has 28496 / 96.5% missing values <span class=\"label label-default\">Missing</span></l><li><code>parameter</code> has a high cardinality: 56 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>result</code> has a high cardinality: 6005 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>sampleDepthUnit</code> has constant value m <span class=\"label label-primary\">Rejected</span></l><li><code>sampleLowerDepth</code> has 27006 / 91.4% missing values <span class=\"label label-default\">Missing</span></l><li><code>sampleTime</code> has a high cardinality: 386 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>sampleUpperDepth</code> has 4698 / 15.9% zeros</l><li><code>stationId</code> has constant value 27-0039-00-202 <span class=\"label label-primary\">Rejected</span></l><li><code>stationName</code> has constant value CEDAR <span class=\"label label-primary\">Rejected</span></l><li><code>statisticType</code> has 29530 / 100.0% missing values <span class=\"label label-default\">Missing</span></l><li><code>testMethodId</code> has a high cardinality: 53 distinct values  <span class=\"label label-warning\">Warning</span></l><li><code>testMethodName</code> has a high cardinality: 53 distinct values  <span class=\"label label-warning\">Warning</span></l><li>Dataset has 123 duplicate rows <span class=\"label label-warning\">Warning</span></l> </ul>\n",
-       "    </div>\n",
-       "</div>\n",
-       "    <div class=\"row headerrow highlight\">\n",
-       "        <h1>Variables</h1>\n",
-       "    </div>\n",
-       "    <div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">analysisDate<br/>\n",
-       "            <small>Date</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>533</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>1.8%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>1901-01-01 00:00:00</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>2015-10-26 00:00:00</td>\n",
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-       "</div>\n",
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9dU6fPhwhdu%2B/fZbtW7dWpK0d%2B9ejRs3Tlu2bFFAQIASExM1c%2BZMNW3a1GO/hQsXatasWfr222/VqlUrjRo1SqNGjfKoO3XqlNLT0/XOO%2B/I5XIpLi5OM2fO1K233upR%2B%2Bmnn%2Bqpp57Szp071bBhQw0YMEDTp093e/jo/9q5c6diY2P12WefcYkQAOqYw4cPV/qduTXd3r179fDDD6v943PVIPLa6m7Ha%2BWXCKvj/bfGBKzajIAFAHXT4cOHdf0N7VXkOlfdrfwiBCzv1ZhLhAAA1DZOp1NFrnNqm5SuoIjW1d2O104e3CHH5iXV3YZPImABAFDFgiJa%2B%2BQZIJfzSHW34LN86lOEAAAAvoCABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDGfC1gHDx7Ugw8%2BqFatWik4OFjt27dXRkaGXC6XW92%2BffuUkJCghg0bKjw8XIMHD5bT6axwzoULF6pDhw4KCgpSdHS05s2bV2HdqVOnlJaWpmbNmikkJETdunXTrl27LD9GAADg2%2BpVdwPeOHr0qLp06aImTZpo1KhRCgsL09atWzVlyhTt3LlTb7/9tiQpPz9fXbt2VZMmTTRjxgydOXNGL730kr788ktt375d9er932EvWLBAw4YNU//%2B/TV%2B/Hh9/PHHGj16tFwul9LT0806wzDUu3dvffHFF5owYYLCw8M1f/58xcfHa%2BfOnWrXrt0VXw8AAFAz%2BVTAWrJkiU6fPq2tW7fqhhtukCQNGTJEpaWl%2Btvf/qZTp04pNDRU06ZNk8vl0u7du9WiRQtJUpcuXdSjRw8tXrxYQ4YMkSQVFRVp0qRJ6tu3r5YvXy5JSk1NVWlpqTIyMpSWlqbQ0FBJ0sqVK7V161bl5OSoX79%2BkqT%2B/fsrOjpaU6ZM0dKlS6/0cgAAgBrKpy4RnjlzRpLUrFkzt/HIyEjZ7XYFBARIknJzc5WYmGiGK0nq3r27oqOjtWLFCnNs48aNKiws1PDhw93mGzFihM6ePas1a9aYYzk5OYqMjDTDlSRFREQoJSVF7777rkpKSqw7UAAA4NN8KmDFx8fLMAw9/vjj%2Bte//qWjR49q%2BfLl%2BvOf/6wxY8YoKChIBQUFOn78uDp37uyxf1xcnNs9U%2BV/jo2NdauLjY2V3W73qO3UqVOFc547d0779%2B%2B36jABAICP86mA1bNnT2VkZOjDDz/UrbfeqtatW%2Bt3v/udRo8erZkzZ0qSHA6HJCkqKspj/6ioKBUWFppnmxwOh/z8/BQREeFW5%2B/vr/DwcBUUFJhjDoej0jkludUCAIC6zafuwZKktm3b6q677lJycrLCwsK0Zs0aTZs2TZGRkRo%2BfLj5acL69et77BsYGChJcrlc8vf3l8vlMi8rVlR78ScTXS5XpXMahuHxKUYAAFB3%2BVTAeuutt5SWlqaDBw%2BaZ45%2B%2B9vfqrS0VE899ZQGDhyooKAgSVJxcbHH/kVFRZJk1gQFBen8%2BfMVvlZRUZFZV15b2Zw2m82tFgAA1G0%2BFbAyMzPVqVMnj0t1SUlJev3117Vr1y7z04Xllwov5nA4FBYWJn9/f0k/Xt4rLS2V0%2Bl0u0xYUlKiEydOqHnz5uZYVFRUpXNKcqutzNixY81PJZYbOHCgBg4ceMl9AQBA5Qr3bFLhV5vcxs6frvj5l1eCTwWsY8eOKSwszGO8pKREhmHowoULat68uZo2baq8vDyPuu3btysmJsb8PSYmRoZhKC8vTwkJCeb4jh07VFZW5lG7ZcsWjzm3bdumBg0aKDo6%2BpL9z549u8Ib5QEAwC8T1jFeYR3j3cZOfLlRh1a9WC39%2BNRN7tHR0dq1a5cOHjzoNr5s2TL5%2Bfnp5ptvliQ98MADeu%2B995Sfn2/WbNiwQfv371dKSoo51q1bN4WFhSkzM9NtvszMTAUHB6tPnz7mWHJyso4dO6bc3FxzzOl0Kjs7W0lJSeZZMQAAAJ86g5Wenq4PPvhAd955p0aOHKnw8HCtXr1a69at09ChQxUZGSlJmjhxorKzsxUfH68xY8bozJkzmjlzpm655RY9%2Buij5nyBgYHKyMjQyJEjlZKSop49e2rz5s1atmyZpk%2BfrsaNG5u1ycnJmjNnjh577DHt2bNHERERmj9/vsrKyjR16tQrvBIAAKAm86mA1bVrV3366aeaOnWqMjMzdeLECV199dWaPn2629fatGzZUh999JHGjRunZ555RgEBAUpMTNTMmTM9zjQNGzZMAQEBmjVrllavXq1WrVppzpw5GjVqlFud3W7X2rVrlZ6errlz58rlcikuLk5LlizRddddd0WOHwAA%2BAafCliS1LlzZ7333nuXrGvfvr3Wrl17WXOmpqYqNTX1knWhoaHKyspSVlbWZc0LAADqJp%2B6BwsAAMAXELAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsJhXAatv375asWKFiouLq6ofAAAAn%2BdVwPrqq6/04IMP6qqrrlJqaqo2bdpURW0BAAD4Lq8C1tdff61PPvlEDz30kFavXq3u3burdevWeuaZZ/Tll19WVY8AAAA%2Bxet7sH7961/r1VdflcPh0KpVq3THHXdo7ty5uuWWWxQTE6OXX35ZDoejKnoFAADwCT/7Jnc/Pz/16dNHb775po4ePark5GR9/vnnSk9PV%2BvWrZWQkKB169ZZ2SsAAIBP%2BEWfIty2bZtGjhyp6OhorVy5Uu3bt9e0adM0Y8YMHTlyRL1799bvf/97q3oFAADwCfW83WH//v1aunSpli1bpm%2B//VYREREaOHCgBg0apM6dO5t148ePV2pqqubOnaspU6ZY2jQAAEBN5lXA6ty5s3bt2qWAgAAlJiZq9uzZ6tWrl%2BrVq3iae%2B65R4sWLbKkUQAAAF/hVcAKDAzU/PnzNWDAADVu3PiS9UlJSTpw4MDPbg4AAMAXeRWwtmzZ4tXkwcHBateunVf7AAAA%2BDqvbnLfvXu3FixYUOn2rKwsff7557%2B4KQAAAF/mVcCaOHGi1q5dW%2Bn2devW6dlnn/3FTQEAAPgyrwJWXl6efvOb31S6vWvXrtqxY8cvbgoAAMCXeRWwzpw5o4CAgEq3%2B/n56dSpU7%2B4KQAAAF/mVcC67rrr9OGHH1a6/e9//7uuvvrqX9wUAACAL/MqYD322GNavXq1JkyYoDNnzpjjp0%2BfVnp6ut5//309/vjjljcJAADgS7x6TMOTTz6pnTt3aubMmZozZ45atmwpSTp69KguXLiggQMHavz48VXSKAAAgK/wKmDZbDb97W9/0%2BDBg5WTk6NvvvlGktSzZ0898MADuueee6qkSQAAAF/i9XcRSlKPHj3Uo0cPq3sBAACoFby6BwsAAACX5nXAWrhwoW6//XZFRkaqfv36CggIcPupX79%2BVfQJAADgM7y6RPj000/rpZde0k033aTk5GQ1adKkqvoCAADwWV4FrNdee039%2BvVTdnZ2VfUDAADg87y6ROhyuXTvvfdWVS8AAAC1glcB6%2B6779Znn31WVb0AAADUCl4FrPnz5%2Bvjjz/Wiy%2B%2BqJMnT1ZVTwAAAD7Nq4B100036ciRI3rmmWcUHh6u0NBQhYWFuf2Eh4dXVa8AAAA%2Bwaub3Pv06SObzVZVvQAAANQKXgWspUuXVlUfAAAAtQZPcgcAALCY1wHr6NGjGjlypDp27KimTZvq448/liQ5nU6NGzdOu3fvtrxJAAAAX%2BLVJcJ9%2B/apa9euKikpUZcuXbRv3z6VlJRIkiIiIrRx40adPn1af/3rX6ukWQAAAF/g1RmsCRMmKCQkRP/%2B97/15ptvyjAMt%2B19%2BvQxz2hVpZ07dyopKUnh4eEKDg7WTTfdpHnz5rnV7Nu3TwkJCWrYsKHCw8M1ePBgOZ3OCudbuHChOnTooKCgIEVHR3vMVe7UqVNKS0tTs2bNFBISom7dumnXrl2WHx8AAPBtXp3B%2BuijjzRp0iRdddVVOnHihMf2Nm3aKD8/37LmKvL3v/9dSUlJ6tSpk5577jmFhITo66%2B/1tGjR82a/Px8de3aVU2aNNGMGTN05swZvfTSS/ryyy%2B1fft21av3f4e9YMECDRs2TP3799f48eP18ccfa/To0XK5XEpPTzfrDMNQ79699cUXX2jChAkKDw/X/PnzFR8fr507d6pdu3ZVetwAAMB3eBWwSktLFRwcXOl2p9Mpf3//X9xUZc6cOaNHHnlEffv21cqVKyutmzZtmlwul3bv3q0WLVpIkrp06aIePXpo8eLFGjJkiCSpqKhIkyZNUt%2B%2BfbV8%2BXJJUmpqqkpLS5WRkaG0tDSFhoZKklauXKmtW7cqJydH/fr1kyT1799f0dHRmjJlCp%2BwBAAAJq8uEd5666364IMPKtxWWlqqt956S7/61a8saawib7zxho4fP65p06ZJks6dO%2BdxmVKScnNzlZiYaIYrSerevbuio6O1YsUKc2zjxo0qLCzU8OHD3fYfMWKEzp49qzVr1phjOTk5ioyMNMOV9ON9ZykpKXr33XfNe9EAAAC8ClhPP/201qxZo1GjRmnfvn2SfjxrtWnTJiUkJOirr77S008/XSWNStKGDRvUqFEjHTlyRDfccINCQkLUqFEjDR8%2BXMXFxZKkgoICHT9%2BXJ07d/bYPy4uzu2eqfI/x8bGutXFxsbKbrd71Hbq1KnCOc%2BdO6f9%2B/dbcowAAMD3ef0k94ULF%2BrJJ5/U/PnzJUkDBw6UJIWEhOi1115TfHy85U2WO3DggEpKSnTfffdp6NChmjFjhjZt2qRXXnlFp06d0htvvCGHwyFJioqK8tg/KipKhYWFKikpkb%2B/vxwOh/z8/BQREeFW5%2B/vr/DwcBUUFJhjDodDd911V4VzSj8Gu44dO/5k/4MeefQnL7HWZM9NelaJiYnV3QYAAD7Bq4AlSY8%2B%2BqgeeOABffDBBzp48KDKysrUrl079erVy7xfqaqcPXtWLpdLw4YN0%2BzZsyVJv/3tb1VcXKysrCz94Q9/kMvlkiTVr1/fY//AwEBJksvlkr%2B/v1wulwICAip8rcDAQHOu8n0qm9MwDLfayuQXB6ueX6NLH2gNc/rbXcrKyiJgAQBwmbwOWJLUsGFD9e/f3%2BpeLikoKEiS9OCDD7qN/%2B53v9OCBQu0detWtW/fXpLMS4YXKyoqcpsnKChI58%2Bfr/C1ioqKzLry2srmtNlsbrWVad71ITWIvPaSdTXNwZVTq7sFAAB8ilcB6%2BJLZj%2BlefPmP6uZy5n3q6%2B%2B0lVXXeU23qxZM0nS999/b16yK79UeDGHw6GwsDDzk45RUVEqLS2V0%2Bl0u0xYUlKiEydOuB1HVFRUpXOW93YpRz5cIL9A90uEYR3iFdYx/pL7AgCAyhXu2aTCrza5jZ0/XfHzL68ErwJWy5YtZbPZLllXWlr6sxv6KbGxsVq/fr3y8/N13XXXmePlwa9Zs2Zq3ry5mjZtqry8PI/9t2/frpiYGPP3mJgYGYahvLw8JSQkmOM7duxQWVmZR%2B2WLVs85ty2bZsaNGig6OjoS/bfqscTPnkGCwCAmi6so%2BcJixNfbtShVS9WSz9eBaysrCyPgFVaWqpDhw7pb3/7m6KiovTEE09Y2uDFUlJSNGPGDC1cuNDtZvq//OUv8vf3N29Cf%2BCBB7RkyRLl5%2Bebj2rYsGGD9u/fr/Hjx5v7devWTWFhYcrMzHQLWJmZmQoODlafPn3MseTkZOXk5Cg3N1f333%2B/pB8/QZmdna2kpKQqff4XAADwLV4FrPIHdFZk4sSJiouLM%2B9zqgoxMTF6/PHHtWjRIpWUlOiuu%2B7Sxo0blZOTo4kTJyoyMtLsJTs7W/Hx8RozZozOnDmjmTNn6pZbbtGjjz5qzhcYGKiMjAyNHDlSKSkp6tmzpzZv3qxly5Zp%2BvTpaty4sVmbnJysOXPm6LHHHtOePXsUERGh%2BfPnq6ysTFOnTq2yYwYAAL7nZ93kXpGQkBA9/vjjmjVrlkaMGGHVtB4WLFigNm0B8X3nAAAgAElEQVTaaNGiRXrnnXfUpk0bzZkzR6NGjTJrWrZsqY8%2B%2Bkjjxo3TM888o4CAACUmJmrmzJkeZ5qGDRumgIAAzZo1S6tXr1arVq085pMku92utWvXKj09XXPnzpXL5VJcXJyWLFnidrkSAADAsoBVrqIbwa3k5%2BenyZMna/LkyT9Z1759e61du/ay5kxNTVVqauol60JDQ5WVlaWsrKzLmhcAANRNlgSsc%2BfOafPmzZo5c6bbjeEAAAB1kVcBy9/fv8JPEZaWlsowDLVo0UKvvvqqZc0BAAD4Iq8C1lNPPeURsGw2m5o0aWI%2BzZ1P0wEAgLrOq4D1/PPPV1UfAAAAtYa9uhsAAACobbw6g5WWlub1C9hsNi1YsMDr/QAAAHyVVwFr7dq1crlcKiwslPTjlz5L0pkzZyRJYWFhHl96fDlfrQMAAFCbeHWJ8MMPP1SDBg00YcIEFRQU6NSpUzp16pQKCgqUnp6u4OBgrV%2B/XkeOHDF/Dh8%2BXFW9AwAA1EhencEaOXKkevTooRkzZriNR0ZG6o9//KOcTqdGjhypDz/80NImAQAAfIlXZ7C2bdumzp07V7q9c%2BfO2rp16y9uCgAAwJd5FbAaN26sdevWVbp97dq1Cg0N/cVNAQAA%2BDKvAlZaWppWrVqlBx54QJs2bdLRo0d19OhRbdy4Uffff7/WrFmjJ554oqp6BQAA8Ale3YM1efJkuVwuzZo1S%2B%2B8847bNj8/P/2///f/9Nxzz1naIAAAgK/xKmDZbDa98MILGjt2rNatW2d%2BQrBNmzbq0aOHrrrqqippEgAAwJd4FbDKNWvWTIMGDbK6FwAAgFrB66/KKSsrU3Z2tkaMGKH%2B/fvryy%2B/lCSdPn1aq1at0vHjxy1vEgAAwJd4FbBOnz6trl27KiUlRYsXL1Zubq4ZqBo0aKBhw4bpT3/6U5U0CgAA4Cu8ClhPP/20/vWvf2nNmjU6dOiQDMMwt9WrV0/Jycl6//33LW8SAADAl3gVsN5%2B%2B22NGjVKvXr1kt3uuWt0dLQOHTpkVW8AAAA%2ByauA9f333%2Buaa66pdPuFCxdUUlLyi5sCAADwZV4FrHbt2mnXrl2Vbl%2B/fr3at2//i5sCAADwZV4FrNTUVL322mvKyckxx2w2m0pKSjRlyhS9//77SktLs7xJAAAAX%2BLVc7DGjh2rL774Qv3791d4eLgkadCgQXI6nTp//rxSU1M1dOjQKmkUAADAV3j9JPdFixbpkUceUXZ2tg4cOKCysjK1a9dOKSkp6tatW1X1CQAA4DMuO2AVFxdrw4YNat26teLj4xUfH1%2BFbQEAAPiuy74HKyAgQP369dPHH39clf0AAAD4vMsOWDabTddee60KCwursh8AAACf5/WT3F999VUdPHiwqvoBAADweV7d5L5r1y41adJEHTp0UPfu3dW2bVsFBQW51dhsNs2aNcvSJgEAAHyJVwFrzpw55p/XrVtXYQ0BCwAA1HVeBSy%2BBgcAAODSLnkP1sSJE/X5559Lkvz8/C7rBwAAoC67ZMCaMWOGvvzyS/P3EydOyM/PT//4xz%2BqtDEAAABf5dWnCMsZhmF1HwAAALXGzwpYAAAAqBwBCwAAwGKX9SnCQ4cOaefOnZKkU6dOSZIOHDigxo0bV1jfqVMni9oDAADwPZcVsCZPnqzJkye7jQ0fPtyjzjAM2Ww2lZaWWtMdAACAD7pkwFq0aNGV6AMAAKDWuGTAeuSRR65EHz/btGnTNHnyZN14443m87rK7du3T08%2B%2BaQ%2B%2BeQTBQQEqE%2BfPnr55ZcVERHhMc/ChQs1a9Ysffvtt2rVqpVGjx6tkSNHetSdOnVK6enpeuedd3Tu3DnFxcVp1qxZuvXWW6vsGAEAgG/x6Zvc8/Pz9cILLygkJKTCbV27dtU333yjGTNmKD09XWvWrNG9996rCxcuuNUuWLBAQ4cO1U033aR58%2Bbp9ttv1%2BjRo/XSSy%2B51RmGod69e%2Butt94yt3/33XeKj4/X119/XaXHCgAAfIdXX5VT04wfP16//vWvdeHCBZ04ccJt27Rp0%2BRyubR79261aNFCktSlSxf16NFDixcv1pAhQyRJRUVFmjRpkvr27avly5dLklJTU1VaWqqMjAylpaUpNDRUkrRy5Upt3bpVOTk56tevnySpf//%2Bio6O1pQpU7R06dIrdegAAKAG89kzWJs3b1Zubq7bF1BfLDc3V4mJiWa4kqTu3bsrOjpaK1asMMc2btyowsJCj5v2R4wYobNnz2rNmjXmWE5OjiIjI81wJUkRERFKSUnRu%2B%2B%2By3c1AgAAST4asMrKyjR69GgNHTpUHTt29NheUFCg48ePq3Pnzh7b4uLitGvXLvP38j/Hxsa61cXGxsput3vUVvQIiri4OJ07d0779%2B//2ccEAABqD58MWJmZmTp8%2BLAyMjIq3O5wOCRJUVFRHtuioqJUWFhonm1yOBzy8/PzuPHd399f4eHhKigocJu3sjkludUCAIC6y%2BcCVmFhoaZMmaLnnntOYWFhFda4XC5JUv369T22BQYGutW4XC4FBARUOE9gYKBZV15b2ZyGYbjVAgCAusvnAtazzz6r8PDwCh%2BhUC4oKEiSVFxc7LGtqKjIrSYoKEjnz5%2BvcJ6ioiKzrry2sjltNptbLQAAqLt86lOEBw8e1F/%2B8hf96U9/Un5%2BvqQfH51QVFSkkpIS/ec//1GjRo3MS3bllwov5nA4FBYWJn9/f0k/Xt4rLS2V0%2Bl0u0xYUlKiEydOqHnz5uZYVFRUpXNKcqutyJEPF8gvMNhtLKxDvMI6xl/G0QMAgMoU7tmkwq82uY2dP%2B2snmbkYwErPz9fhmFo9OjRGjVqlMf2a665RmPGjNHLL7%2Bspk2bKi8vz6Nm%2B/btiomJMX%2BPiYmRYRjKy8tTQkKCOb5jxw6VlZV51G7ZssVjzm3btqlBgwaKjo7%2Byf5b9XhCDSKvvaxjBQAAly%2Bso%2BcJixNfbtShVS9WSz8%2BFbBuvPFGvf322x7jzz77rM6ePatXXnlF11xzjSTpgQce0JIlS5Sfn28%2BqmHDhg3av3%2B/xo8fb%2B7brVs3hYWFKTMz0y1gZWZmKjg4WH369DHHkpOTlZOTo9zcXN1///2SJKfTqezsbCUlJZlnxQAAQN3mUwErPDxcSUlJHuOzZ8%2BWzWZT3759zbGJEycqOztb8fHxGjNmjM6cOaOZM2fqlltu0aOPPmrWBQYGKiMjQyNHjlRKSop69uypzZs3a9myZZo%2BfboaN25s1iYnJ2vOnDl67LHHtGfPHkVERGj%2B/PkqKyvT1KlTq/LQAQCAD/GpgPVTbDab2%2B8tW7bURx99pHHjxumZZ55RQECAEhMTNXPmTI8zTcOGDVNAQIBmzZql1atXq1WrVpozZ47HZUi73a61a9cqPT1dc%2BfOlcvlUlxcnJYsWaLrrruuyo8RAAD4hloRsDZu3FjhePv27bV27drLmiM1NVWpqamXrAsNDVVWVpaysrK86hEAANQdPveYBgAAgJqOgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAW86mAlZeXp5EjR%2BrGG29USEiI2rRpowEDBujAgQMetfv27VNCQoIaNmyo8PBwDR48WE6ns8J5Fy5cqA4dOigoKEjR0dGaN29ehXWnTp1SWlqamjVrppCQEHXr1k27du2y9BgBAIDvq1fdDXjjj3/8oz799FP1799fN998s/773/9q7ty56tSpk/75z3%2BqQ4cOkqT8/Hx17dpVTZo00YwZM3TmzBm99NJL%2BvLLL7V9%2B3bVq/d/h71gwQINGzZM/fv31/jx4/Xxxx9r9OjRcrlcSk9PN%2BsMw1Dv3r31xRdfaMKECQoPD9f8%2BfMVHx%2BvnTt3ql27dld8PQAAQM3kUwFr/PjxevPNN90CUkpKim666SbNmDFDS5YskSRNmzZNLpdLu3fvVosWLSRJXbp0UY8ePbR48WINGTJEklRUVKRJkyapb9%2B%2BWr58uSQpNTVVpaWlysjIUFpamkJDQyVJK1eu1NatW5WTk6N%2B/fpJkvr376/o6GhNmTJFS5cuvWLrAAAAajafukR42223uYUrSbr22mvVsWNH7d271xzLzc1VYmKiGa4kqXv37oqOjtaKFSvMsY0bN6qwsFDDhw93m3PEiBE6e/as1qxZY47l5OQoMjLSDFeSFBERoZSUFL377rsqKSmx7DgBAIBv86mAVZljx44pIiJCklRQUKDjx4%2Brc%2BfOHnVxcXFu90yV/zk2NtatLjY2Vna73aO2U6dOFc557tw57d%2B/35JjAQAAvs/nA9bSpUuVn5%2BvBx98UJLkcDgkSVFRUR61UVFRKiwsNM82ORwO%2Bfn5meGsnL%2B/v8LDw1VQUGCOORyOSueU5FYLAADqNp8OWPv27dPIkSN1xx13aPDgwZIkl8slSapfv75HfWBgoFuNy%2BVSQEBAhXMHBgaadeW1lc1pGIZbLQAAqNt8NmAdO3ZMffr0UZMmTbRy5UrZbDZJUlBQkCSpuLjYY5%2BioiK3mqCgIJ0/f77C%2BYuKisy68trK5rTZbG61AACgbvOpTxGWO336tBISEnT69Glt2bJFkZGR5rbyS3bllwov5nA4FBYWJn9/f7O2tLRUTqfT7TJhSUmJTpw4oebNm7vNW9mcktxqK3PkwwXyCwx2GwvrEK%2BwjvGX3BcAAFSucM8mFX61yW3s/OmKn395JfhcwCouLlZiYqIOHjyoDRs26Prrr3fb3rx5czVt2lR5eXke%2B27fvl0xMTHm7zExMTIMQ3l5eUpISDDHd%2BzYobKyMo/aLVu2eMy5bds2NWjQQNHR0ZfsvVWPJ9Qg8trLOk4AAHD5wjp6nrA48eVGHVr1YrX041OXCMvKypSSkqJ//vOfys7OVlxcXIV1DzzwgN577z3l5%2BebYxs2bND%2B/fuVkpJijnXr1k1hYWHKzMx02z8zM1PBwcHq06ePOZacnKxjx44pNzfXHHM6ncrOzlZSUpJ5VgwAAMCnzmCNGzdOq1evVlJSkpxOp9544w237Q899JAkaeLEicrOzlZ8fLzGjBmjM2fOaObMmbrlllv06KOPmvWBgYHKyMjQyJEjlZKSop49e2rz5s1atmyZpk%2BfrsaNG5u1ycnJmjNnjh577DHt2bNHERERmj9/vsrKyjR16tQrcfgAAMBH%2BFTA%2Bte//iWbzabVq1dr9erVHtvLA1bLli310Ucfady4cXrmmWcUEBCgxMREzZw50%2BNM07BhwxQQEKBZs2Zp9erVatWqlebMmaNRo0a51dntdq1du1bp6emaO3euXC6X4uLitGTJEl133XVVd9AAAMDn%2BFTA2rhx42XXtm/fXmvXrr2s2tTUVKWmpl6yLjQ0VFlZWcrKyrrsPgAAQN3jU/dgAQAA%2BAKfOoMFAKh7Dh8%2BLKez%2Bj5u/0tc/D25qFsIWACAGuvw4cO6/ob2KnKdq%2B5WAK8QsAAANZbT6VSR65zaJqUrKKJ1dbfjtZMHd8ixeUl1t4FqQMACANR4QRGtffJBzS7nkepuAdWEm9wBAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYActL58%2Bf11NPPaUWLVqoQYMGuu2227R%2B/frqbgsAANQg9aq7AV/zyCOPKDc3V2PHjtW1116rxYsXq3fv3tq0aZNuv/326m4PADwcPnxYTqezutv4Wfbu3VvdLQA/CwHLC9u3b9fy5cs1a9YsjR07VpI0aNAg3XjjjZowYYK2bNlyRfsp3LNJYR3jr%2Bhr1mZvvvmmBg4cWN1t1AqspbV%2ByXoePnxY19/QXkWucxZ35Zv496a1WM/KEbC8kJ2drXr16mno0KHmWP369ZWamqpnn31W%2Bfn5atGixRXrp/Ar/mJbiVBgHdbSWr9kPZ1Op4pc59Q2KV1BEa0t7qzqnTy4Q47NSyybj39vWov1rBwBywu7d%2B9WdHS0QkJC3Mbj4uLM7VcyYAHA5QqKaK0GkddWdxteczmPVHcLwM/CTe5ecDgcioqK8hiPioqSYRgqKCiohq4AAEBNQ8DygsvlUv369T3GAwMDze0AAABcIvRCUFCQiouLPcaLiorM7RUpD16H1syRX0DFNT%2BH67v/6N9/S7dsvspf55COh0lvvPFGlb9WVbHb7SorK/vJmqNHj9bYY7yc/muS/11LX%2Bv/f1V3/7/k7%2Ba3334r6cd7mXzxctvZI3skWdf/%2BdNOnfhy4y%2Be53JZ3f%2BVdqn%2Br/R6equ8/2o5AWLgsvXo0cPo2LGjx/iGDRsMm81mvPfeexXut3TpUkMSP/zwww8//PBTDT9Lly6t6ojggTNYXoiJidGmTZt09uxZtxvdt23bJpvNppiYmAr369mzp5YuXaq2bdtWepYLAABYy%2BVy6dChQ%2BrZs%2BcVf22bYRjGFX9VH7V9%2B3bddtttmjlzpsaNGyfpxye733jjjWratKk%2B%2BeSTau4QAADUBJzB8kJcXJz69%2B%2BvZ555RseOHTOf5P6f//xHixYtqu72AABADcEZLC%2BdP39ekydP1tKlS/X999/r5ptv1vPPP6977rmnulsDAAA1BAELAADAYjwHCwAAwGIErCvshx9%2B0JQpU9SrVy%2BFh4fLbrdryZKKv2dr3rx56tChgwIDA9WyZUuNHz9e585V/IWtCxcuVIcOHRQUFKTo6GjNmzev0h7Wr1%2Bv7t27q3HjxmrUqJE6d%2B6slStXWnJ8V5LVa3n06FH9/ve/169%2B9SuFhYWpadOmuvvuu7Vhw4ZKe6gtaylV3d/Nclu2bJHdbpefn58KCwsrrKkt61lVa3n8%2BHE98cQTatmypYKCgnT11VdryJAhFdbWlrWUqmY9T58%2BrQkTJig6OloNGjRQ27ZtNWTIEB05UvGzqmrLeubl5WnkyJG68cYbFRISojZt2mjAgAE6cOCAR%2B2%2BffuUkJCghg0bKjw8XIMHD5bT6axw3rr4HnRJV/zBEHXcoUOHDJvNZrRt29bo1q2bYbfbjddff92jbsKECYbNZjMGDBhgLFiwwBgzZozh7%2B9vJCQkeNT%2B%2Bc9/Nmw2m5GSkmL89a9/NR555BHDZrMZL774okfta6%2B9ZtjtdiMhIcGYP3%2B%2BsWDBAmPcuHHGrFmzquR4q5LVazlv3jwjODjYeOihh4z58%2Bcbr7zyitG5c2fDZrMZixcv9pi3Nq2lYVTN381yZWVlRkxMjNGwYUPDbrcbJ06c8KipTetZFWt55MgRo1WrVkabNm2M559/3li0aJExbdo047777vOorU1raRjWr2dZWZnRpUsXo2HDhsbTTz9tLFy40HjmmWeMRo0aGa1atTLOnj3rVl%2Bb1jM5Odlo3ry5MWbMGGPhwoXGtGnTjMjISCMkJMTYs2ePWXf06FEjIiLCuO6664x58%2BYZL7zwghEWFmbceuutRklJiducdfU96FIIWFfY%2BfPnjWPHjhmGYRh5eXmGzWbz%2BBeFw%2BEw/P39jUcffdRtfN68eYbdbnd7oKnL5TIiIiKMpKQkt9qHH37YaNiwoXHy5Elz7NChQ0aDBg2MsWPHWn1Y1cLqtfzqq6883viLi4uN9u3bG61bt3Ybr21raRjWr%2BfFMjMzjaZNmxpjx46tMGDVtvWsirXs1auX0a5dO%2BP777//ydeubWtpGNav56effmrYbDYjMzPTrXbRokWG3W433nnnHXOstq3n1q1bPQLSgQMHjMDAQGPQoEHm2LBhw4zg4GDj6NGj5tj69esNm81m/OUvfzHH6vJ70KVwifAK8/f3V7NmzX6yZuvWrSotLdWAAQPcxh988EEZhqG33nrLHNu4caMKCws1fPhwt9oRI0bo7NmzWrNmjTmWmZmpsrIy/f73v5f042l3X2b1WrZv315hYWFudQEBAerdu7eOHj3qtl61bS0l69ez3Pfff6/JkycrIyNDoaGhFc5b29bT6rX897//rQ8%2B%2BEATJkxQ48aNVVxcrAsXLlQ4b21bS8n69Tx9%2BrQkecwZGRkpyf1rz2rbet52222qV8/9CU3XXnutOnbsqL1795pjubm5SkxMVIsWLcyx7t27Kzo6WitWrDDH6vJ70KUQsGqg8u87/N%2Bnvjdo0ECS9Nlnn5lju3btkiTFxsa61cbGxsput5vbJWnDhg264YYbtGbNGrVq1cq8rv7cc8/JqKUfJvVmLSvjcDjUoEEDcx%2Bpbq6l9PPWc9KkSYqKilJaWlql89bF9fRmLdevXy%2BbzaamTZuqe/fuCgoKUlBQkHr37q3//Oc/bvvXxbWUvFvPzp07Kzg4WJMnT9bGjRtVUFCgjz76SE899ZTi4uLcHrtTV9bz2LFjioiIkCQVFBTo%2BPHj6ty5s0ddXFyc2/sK70GVI2DVQNdff70Mw/B4MvzmzZslSfn5%2BeaYw%2BGQn5%2Bf%2BQ9GOX9/f4WHh6ugoMAcO3DggA4fPqzHH39cQ4YMUU5Ojnr37q3nn39ekyZNqsIjqj7erGVFDh48qLffflvJycmy2WzmeF1cS8n79fz888%2BVlZWl2bNnu63f/6qL6%2BnNWh44cECGYSgtLU2BgYFasWKF/vjHP2rLli3q0aOH%2BYXz5bV1bS0l79YzPDxcK1as0MmTJ9W9e3e1bNlSd999t1q0aKENGzbIbv%2B/t8a6sJ5Lly5Vfn6%2BHnzwQUk/vq9IUlRUlEdtVFSUCgsLVVJSYtbyHlSJK35REqbK7iUwDMO47bbbjEaNGhmLFi0yDh06ZLz//vtG27ZtjYCAAMPf39%2BsS01NNYKDgyucv3Xr1ka/fv3M3/38/Ay73W689NJLbnW9evUygoODPW7s9CVWrOX/OnfunBETE2OEh4cbDofDbVttXkvDsG4977rrLrebsKdOnVrhPVi1eT2t%2BufcZrMZN998s9v%2Bb731lmGz2YyFCxeaY7V5LQ3Dur%2Bb27dvNxITE40ZM2YYq1atMv7whz8YwcHBRv/%2B/d3qavt67t271wgNDTXuvPNOo6yszDAMw/j4448Nm81mrFy50qP%2BueeeM%2Bx2u3Hq1CnDMHgP%2BimcwaqhcnNzdcsttyg1NVVXX3217rvvPg0YMEC33nqr2xdNBwUF6fz58xXOUVRU5Ha6vPzP5f%2BVUm7gwIFyuVxup3Jrk8tdy4uVlZVpwIAB2rdvn3Jycsx7M8rV1bWULn89ly9frm3btmnWrFmXnLOurqc3/5zbbDb179/fbf/%2B/furXr16%2BvTTT91qpbq3ltLlr%2Bc333yju%2B%2B%2BW6mpqXrqqafUt29fTZ48WfPnz1d2drbWrVtn1tbm9Tx27Jj69OmjJk2aaOXKleZZ5vJjLr/serHys6XlNbwHVY7vIqyhoqKitHnzZn399df673//q%2Buuu07NmjVTixYtFB0d7VZXWloqp9Ppdoq2pKREJ06cUPPmzc2x5s2b6%2BDBg7rqqqvcXqtZs2YyDEPff/991R9YNbjctbzYkCFD9P7772vZsmW66667PLbX1bWULn89J0yYYAaA8vuEytfl8OHDKi4uNi9B1NX1vNy1LP/n%2BH/Xx263Kzw83G196upaSpe/nosXL1ZxcbH69Onjtn9SUpIk6ZNPPlHPnj0l1d71PH36tBISEnT69Glt2bLF7T8iy/%2B5LL9UeDGHw6GwsDD5%2B/ubtbwHVYwzWDVcu3btdMcdd6hZs2b66quv5HA41KNHD3N7TEyMDMNQXl6e2347duxQWVmZYmJizLHymxD/9z6Z/Px88wba2uxSa1kuPT1dr7/%2BuubMmaOUlJQK56rrayldej2PHDmiZcuW6eqrrzZ/XnnlFRmGoU6dOrm9udX19bzUWsbGxsowDI/1KSkpkdPpdFufur6W0qXX8/jx4zIMQ6WlpW77ld9XdPEnNGvjehYXFysxMVEHDx7UmjVrdP3117ttb968uZo2berxviJJ27dvd3tf4T3oJ1TTpUkYP30vwf8qKysz%2BvTpY4SEhBhHjhwxx10ulxEeHl7hM0hCQkLcnpnzzjvvGDabzZg0aZLbvHfeeacRERFhnD9/3oKjqh5WrKVhGMaLL75o2Gw2Y/LkyT85R21eS8OwZj3fffddj58HH3zQsNvtxhtvvGFs2rTJrK3N62nFWhYXFxtXXXWVce211xrFxcXm%2BIIFCwy73W7k5OSYY7V5LQ3DmvWcNWtWhXPMmTPHsNvtxooVK8yx2raepaWlRlJSkhEQEGB88MEHldb91HOwsrKyzDHegyrHJcJq8Oqrr%2BrkyZNmil%2B1apX59QyjR49Ww4YN9eSTT6qoqEgxMTEqKSnRG2%2B8oby8PC1ZskQtW7Y05woMDFRGRoZGjhyplJQU9ezZU5s3b9ayZcs0ffp0NW7c2Ky977771L17d73wwgv67rvvdMstt%2Bjtt9/Wp59%2BqqysLPOUry%2Bxci3ffvttPfXUU4qOjtb111%2BvN954w%2B217r33XvO/sGrjWkrWrmf55ZaLld9jkfD/27ljVcWBMAzD/1pIBEWwUxtBLEQh5AKUNBXbWxIAAAHkSURBVIKVYC1KCkG7cCy9BVOlVrATwc4r8AK0tE9jIXZi/W%2B1h3N21WrcA/F9IN1kIB9D5isyabe//XMsjnmazDKZTMpsNhPP86TRaEi/35coiiQMQ2k2m9Ltdj/HxjFLEbN5ep4nQRDIaDSSw%2BEgtVpN9vu9LBYLqdfrsc5zMpnIdruVTqcjl8vln/dcr9cTEZHpdCqbzUZc1xXf9%2BV6vUoQBGLbtnie9zn%2B3fegp3664b2jUqmkiUTi7hVFkaqqLpdLdRxHM5mMZrNZbbVautvtHs45n8%2B1Wq2qZVlaqVQ0DMO74263m358fGihUFDLstS2bV2tVi95zv/BZJZ/Trg9uv6%2BJ25Zqr5mbX716BShavzyfEWW6/VaHcfRVCql%2BXxefd%2B/e/Iqblmqms/zdDrpcDjUcrmslmVpsVjU8Xgc%2B7Xpuu7T99xXx%2BNR2%2B22ptNpzeVyOhgM9Hw%2B3533XfegZ36pxvDvXgAAAD%2BIj9wBAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADDsN1BVfsjwngPbAAAAAElFTkSuQmCC\">\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">collectingOrg<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>4</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6848806312126851519\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Minneapolis Chain of Lakes Project</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 95.6%\">\n",
-       "            28233\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>MPCA Lake Monitoring Program Project</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 3.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1074\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Citizen Lake Monitoring Program</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.7%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        216\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6848806312126851519, #minifreqtable-6848806312126851519\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6848806312126851519\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Minneapolis Chain of Lakes Project</td>\n",
-       "        <td class=\"number\">28233</td>\n",
-       "        <td class=\"number\">95.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">MPCA Lake Monitoring Program Project</td>\n",
-       "        <td class=\"number\">1074</td>\n",
-       "        <td class=\"number\">3.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Citizen Lake Monitoring Program</td>\n",
-       "        <td class=\"number\">216</td>\n",
-       "        <td class=\"number\">0.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Lake Study 2013</td>\n",
-       "        <td class=\"number\">8</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">comments<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>3</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>5.4%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>99.8%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>29475</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2372862948645539330\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Lab qualifier:  (<)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        54\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Questionable result: Pheophytin-a > Chlorophyll-a</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 99.8%\">\n",
-       "            29475\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2372862948645539330, #minifreqtable2372862948645539330\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2372862948645539330\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Lab qualifier:  (<)</td>\n",
-       "        <td class=\"number\">54</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Questionable result: Pheophytin-a > Chlorophyll-a</td>\n",
-       "        <td class=\"number\">2</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">29475</td>\n",
-       "        <td class=\"number\">99.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>county</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td>Hennepin</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">gtlt<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>3</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.3%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>96.5%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>28496</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-6629174687085424286\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>< </th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 3.5%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1034\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>> </th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 96.5%\">\n",
-       "            28496\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-6629174687085424286, #minifreqtable-6629174687085424286\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-6629174687085424286\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">< </td>\n",
-       "        <td class=\"number\">1034</td>\n",
-       "        <td class=\"number\">3.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">> </td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">28496</td>\n",
-       "        <td class=\"number\">96.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">parameter<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>56</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.2%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable9148324733344529702\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Temperature, water</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:33%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 16.9%\">\n",
-       "            5000\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Dissolved oxygen (DO)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:33%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 16.8%\">\n",
-       "            4964\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>pH</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:29%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 14.8%\">\n",
-       "            4374\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (53)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 51.4%\">\n",
-       "            15193\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable9148324733344529702, #minifreqtable9148324733344529702\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable9148324733344529702\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Temperature, water</td>\n",
-       "        <td class=\"number\">5000</td>\n",
-       "        <td class=\"number\">16.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Dissolved oxygen (DO)</td>\n",
-       "        <td class=\"number\">4964</td>\n",
-       "        <td class=\"number\">16.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:99%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">pH</td>\n",
-       "        <td class=\"number\">4374</td>\n",
-       "        <td class=\"number\">14.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:87%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Specific conductance</td>\n",
-       "        <td class=\"number\">4220</td>\n",
-       "        <td class=\"number\">14.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:84%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Dissolved oxygen saturation</td>\n",
-       "        <td class=\"number\">3745</td>\n",
-       "        <td class=\"number\">12.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:75%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Phosphorus as P</td>\n",
-       "        <td class=\"number\">1736</td>\n",
-       "        <td class=\"number\">5.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Orthophosphate as P</td>\n",
-       "        <td class=\"number\">1629</td>\n",
-       "        <td class=\"number\">5.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:33%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Turbidity</td>\n",
-       "        <td class=\"number\">600</td>\n",
-       "        <td class=\"number\">2.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Depth, Secchi disk depth</td>\n",
-       "        <td class=\"number\">497</td>\n",
-       "        <td class=\"number\">1.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Chlorophyll a, corrected for pheophytin</td>\n",
-       "        <td class=\"number\">342</td>\n",
-       "        <td class=\"number\">1.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (46)</td>\n",
-       "        <td class=\"number\">2424</td>\n",
-       "        <td class=\"number\">8.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:48%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">result<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>6005</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>20.4%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.3%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>88</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-927466476399634651\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>0.1</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 1.4%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        403\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>0.003</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 1.3%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        373\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>0.00</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.8%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        231\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (6001)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 96.3%\">\n",
-       "            28436\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-927466476399634651, #minifreqtable-927466476399634651\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-927466476399634651\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.1</td>\n",
-       "        <td class=\"number\">403</td>\n",
-       "        <td class=\"number\">1.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.003</td>\n",
-       "        <td class=\"number\">373</td>\n",
-       "        <td class=\"number\">1.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.00</td>\n",
-       "        <td class=\"number\">231</td>\n",
-       "        <td class=\"number\">0.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.002</td>\n",
-       "        <td class=\"number\">227</td>\n",
-       "        <td class=\"number\">0.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0</td>\n",
-       "        <td class=\"number\">154</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.01</td>\n",
-       "        <td class=\"number\">153</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.5</td>\n",
-       "        <td class=\"number\">150</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.02</td>\n",
-       "        <td class=\"number\">128</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.2</td>\n",
-       "        <td class=\"number\">107</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1</td>\n",
-       "        <td class=\"number\">102</td>\n",
-       "        <td class=\"number\">0.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (5994)</td>\n",
-       "        <td class=\"number\">27415</td>\n",
-       "        <td class=\"number\">92.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">resultUnit<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>14</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.5%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>138</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-1201775712390054085\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>mg/L</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:98%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 33.5%\">\n",
-       "            9895\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>deg C</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:50%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 16.9%\">\n",
-       "            5000\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>None</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:44%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 14.9%\">\n",
-       "            4401\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (10)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 34.2%\">\n",
-       "            10097\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-1201775712390054085, #minifreqtable-1201775712390054085\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1201775712390054085\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">mg/L</td>\n",
-       "        <td class=\"number\">9895</td>\n",
-       "        <td class=\"number\">33.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">deg C</td>\n",
-       "        <td class=\"number\">5000</td>\n",
-       "        <td class=\"number\">16.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:51%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">None</td>\n",
-       "        <td class=\"number\">4401</td>\n",
-       "        <td class=\"number\">14.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:45%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">uS/cm</td>\n",
-       "        <td class=\"number\">4220</td>\n",
-       "        <td class=\"number\">14.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:43%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">%</td>\n",
-       "        <td class=\"number\">3749</td>\n",
-       "        <td class=\"number\">12.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">ug/L</td>\n",
-       "        <td class=\"number\">964</td>\n",
-       "        <td class=\"number\">3.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">FNU</td>\n",
-       "        <td class=\"number\">573</td>\n",
-       "        <td class=\"number\">1.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">m</td>\n",
-       "        <td class=\"number\">497</td>\n",
-       "        <td class=\"number\">1.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">mV</td>\n",
-       "        <td class=\"number\">39</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">PCU</td>\n",
-       "        <td class=\"number\">32</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (3)</td>\n",
-       "        <td class=\"number\">23</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">138</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">sampleDate<br/>\n",
-       "            <small>Date</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>544</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>1.8%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>1971-04-21 00:00:00</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>2015-10-26 00:00:00</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram7827886306961082440\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAB1dJREFUeJzt3U9MU1seB/Bv%2BVueKPqs4p9SIeGPVVuhsGASjLgY0c2o8FhoSAxxoWFjYJwNiSZs2IzBoCYuDGpemsEMmuhoJGLQMJ04JlUGMSOo8FJ4aFGLcTI8W4bqbxbE5jG8nKF99N4Wvp/kJnDbc8%2B54Xxzzz29p0B04HQ6BQA3bmFtTqdT876aBB1kZ2cDAJxOJ6xWa9jl6%2BvrcebMmQVuFUVbpH%2B3gYEB1NTUhPqNlnQJSFpaGgDAarXC4XCEXT4jIyOicqSvjIwMmEwm%2BHy%2BiMp/7Tda0iUgtPBGR0cj6ngmkwkWiyUKLZrL7/ejYLMVAf8nTepbCAzIIjA6OhpxxzOmfYMXgwNhhySSQE5MTCDg/4Ts3/0Baab51/dxyA3vX78Pq66FwoAsAj6fL6KO5/eNwvOXP8LlcoV1L%2Bj1elH1XTWmAv5Imos0kwXfrMud9/v9vh8jqmchxGVADh48qHcTYlK4HW968gNgMKCmpiai%2BsINpPfhn/Fx0BVRXXphQJawYOAnQCTiIU%2B4gVyZ/xsGhOJPPA15tJagdwOIYhmvIDEmktmhgYGBKLWGGJAY8mumayk6GJAYEul0rZ6fEyx2DEgM4k1z7OBNOpECA0KkwIAQKTAgRAoMCJECA0KkwIAQKTAgRAoMCJECA0KkwIAQKTAgRAoMCJECA0KkwIAQKXA9SJRw6eziwIBEAZfOLh4MSBRw6eziwYBEEZfOxj/epBMpMCBECgwIkQIDQqTAgBApMCBECgwIkQIDQqTAgBApMCBECnEZkPb2dr2bQBGYHHuudxPCpuuzWO/fv4fX6w2rTGZmJtrb2/mPPOPQT6/j73F%2BXQOyZ8%2BesMs0NjZGoSVEv0zXgJh/exTGVRvm/f43f/sTnj17FsUWzcWFT0ubrgFZnrUtrMfB3//jDj59%2BoTp6Wn09vaGVdfU1BRSU1PDKuP1elH1XTWmAv6wytHioUtA/P6ZDvfy%2B9/DkDD/eYLgf6bw4IcEfPn8GcXFxWHWagAgYZaZsXp7BZLTv533%2B/3vPPjXq7/j45A7rDUekz/%2BEwAWbbnP/n//qvq%2B9htNiQ6cTqdgprdy4zbvzel0at5XDSIi0JjP58Pdu3eRnZ2NtLQ0raunOOP3%2B%2BHxeFBRUQGTyaRp3boEhChexOUHhURaYUCIFHQPyPHjx5GTk4OEhAT09/eH9rvdbpSVlaGwsBAOhwMPHjwIvVZZWQmHwwGHw4GioiIkJibi9u3bodevX78Ou90Om80Gu92O0dFRTc9psZuamsKBAwewefNmFBUVoaKiAsPDwwBmno7Yu3cv8vPzYbfb4XK5QuUuX74Mu92O5ORknD17dtYx79y5g5KSEhiNRjQ0NGh6PkqaTwv8D5fLJa9fv5acnBx5%2BvRpaL/ZbJb79%2B%2BLiMjLly/FYrFIIBCYU/7x48eyZs0amZ6eFhGR3t5esVqtMj4%2BLiIik5OT4vf7NTiTpSMQCEhnZ2fo9/Pnz0t5ebmIiNTW1kpTU5OIiLjdbjGbzRIMBkVEpL%2B/XwYHB%2BXw4cPS2to665ivXr2S/v5%2BOXnypNTX12t0Jv%2Bf7leQsrIybNiwAfKzuYKJiQn4fD7s2rULAJCXl4eVK1eis7NzTvm2tjbU1NQgKWnmI52WlhY0NDQgMzMTALBs2TIYjUYNzmTpSE1NnfWYUGlpKUZGRgAAHR0dOHbsGACgpKQEGzduRE9PDwDAZrOhoKAABoNhzjFzc3Nhs9mQmJiowRnMn%2B4B%2BSWrV6/G%2BvXrce3aNQAzw60XL17A4/HMel8gEEB7ezuOHDkS2vf8%2BXOMjIygvLwcxcXFOHXq1Kzw0cJrbW3F/v378eHDBwSDQaxduzb02qZNm%2BJ6iBuTAQGAmzdvoq2tDcXFxTh37hx27NgRukp81dHRgYKCAmzdujW0LxgMoq%2BvD11dXXC5XHj48CEuXLigdfOXjObmZgwPD6O5uVnvpkRFzH71qM1mmzWk2rJly6wgAMClS5dmXT0AwGKxoKqqCikpKUhJSUFlZSUePXqEuro6Tdq9lJw%2BfRo3btxAd3c3jEYjjEYjkpKS8O7du9BVxOPxwGKZ//cTx5qYvYKMj4%2BHfr548SLS09ND9yQAMDQ0hCdPnsxZF3Lo0CF0dXVBRBAMBtHV1YXt27dr1u6loqWlBVevXsW9e/ewfPny0P7q6urQFdvtduPNmzfYuXPnnPKqYW9MDYl1nSIQkaNHj4rZbJbk5GRZt26d5OXliYhIU1OT5OfnS35%2Bvuzbt0/GxsZmlWtsbJTa2to5x/vy5YucOHFCrFar2Gw2qaurC81w0cIYGxsTg8Egubm5UlRUJIWFhVJaWioiIm/fvpXdu3dLXl6ebNu2TXp6ekLlrly5ImazWdLT02XVqlWSlZUlfX19IiLS3d0tZrNZMjIyZMWKFZKVlSW3bt3S5fx%2Bjo%2BaECnE7BCLKBYwIEQKDAiRAgNCpMCAECkwIEQKDAiRAgNCpMCAECkwIEQKDAiRAgNCpPBflBXERxfKQSoAAAAASUVORK5CYII%3D\">\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives7827886306961082440,#minihistogram7827886306961082440\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives7827886306961082440\">\n",
-       "    <img 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UFBSk5OVlZWVleZ5pGjBihoKAgzZgxQytWrFDr1q2VnZ2tBx54wKPO6XRq1apVyszM1KxZs%2BR2u5WQkKCFCxeqQ4cOddI/AADwD34VsDIyMpSRkXFWtR07dtSqVavOqjY9PV3p6ek/Wde4cWPNmzdP8%2BbNO6t5AQDAhcmv7sECAADwBwQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwmF992DMA%2BML%2B/fvlcrl8vYyf5dNPP/X1EoALEgELAM5g//79uuzXHVXuPuHrpQDwIwQsADgDl8ulcvcJtU3JVEhUG18v55x999kWlaxf6OtlABccAhYAnIWQqDYKbdHe18s4Z27XAV8vAbggcZM7AACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMb8PWFOnTpXT6dSVV17ptW337t1KSkpSo0aNFBkZqcGDB8vlctU4z/z589WpUyeFhIQoNjZWs2fPrrHu6NGjGj58uJo3b67w8HD16NFD27Zts7QnAADg3/w6YBUVFempp55SeHh4jdu6d%2B%2BuL774QtOmTVNmZqZWrlypm2%2B%2BWadPn/aonTt3ru677z5dccUVmj17tq677jqNHj1a06dP96gzDEN9%2BvTRa6%2B9Zm7/5ptvlJiYqM8//9zWXgEAgP9o4OsF/BLjx4/Xtddeq9OnT%2BvIkSMe26ZOnSq3263t27erZcuWkqSrr75avXr10oIFCzRs2DBJUnl5uR555BH169dPr7/%2BuiQpPT1dlZWVmjJlioYPH67GjRtLkpYtW6aNGzcqLy9P/fv3lyQNHDhQsbGxmjx5shYtWlRXrQMAgHrMb89grV%2B/Xvn5%2BcrOzq5xe35%2BvpKTk81wJUk9e/ZUbGysli5dao4VFBSotLRUI0eO9Hj9qFGjVFZWppUrV5pjeXl5atGihRmuJCkqKkppaWl66623VFFRYVV7AADAj/llwKqqqtLo0aN13333qXPnzl7bi4uLdfjwYXXr1s1rW0JCgsc9U9Xfx8fHe9TFx8fL6XR61Xbt2rXGOU%2BcOKE9e/b87J4AAMD5wy8DVk5Ojvbv368pU6bUuL2kpESSFB0d7bUtOjpapaWl5tmmkpISBQQEKCoqyqMuMDBQkZGRKi4u9pi3tjkledQCAIALl98FrNLSUk2ePFmPPfaYIiIiaqxxu92SpIYNG3ptCw4O9qhxu90KCgqqcZ7g4GCzrrq2tjkNw/CoBQAAFy6/C1gPP/ywIiMjlZGRUWtNSEiIJOnkyZNe28rLyz1qQkJCdOrUqRrnKS8vN%2Buqa2ub0%2BFweNQCAIALl1%2B9i/Czzz7TSy%2B9pOeee05FRUWSfnh0Qnl5uSoqKvTVV1/poosuMi/ZVV8q/LGSkhJFREQoMDBQ0g%2BX9yorK%2BVyuTwuE1ZUVOjIkSOKiYkxx6Kjo2udU5JHbU3Gjh1rviOx2qBBgzRo0KCzaR8AANSidOdale5a6zF26ljNz76sC34VsIqKimQYhkaPHq0HHnjAa/ull16qMWPG6Nlnn1WzZs1UWFjoVbN582bFxcWZP8fFxckwDBUWFiopKckc37Jli6qqqrxqN2zY4DXnpk2bFBoaqtjY2DOuf%2BbMmTXeJA8AAH6ZiM6Jiuic6DF2ZEeB9i1/xifr8auAdfnll%2BuNN97wGn/44YdVVlam559/XpdeeqkkacCAAVq4cKGKiorMRzWsWbNGe/bs0fjx483X9ujRQxEREcrJyfEIWDk5OQoLC1Pfvn3NsdTUVOXl5Sk/P1%2B33XabJMnlcik3N1cpKSnmWTEAAHBh86uAFRkZqZSUFK/xmTNnyuFwqF%2B/fubYpEmTlJubq8TERI0ZM0bHjx9XVlaWunTpoiFDhph1wcHBmjJlijIyMpSWlqbevXtr/fr1WrJkiZ588kk1adLErE1NTVV2draGDh2qnTt3KioqSnPmzFFVVZUef/xxO1sHAAB%2BxK8C1pk4HA6Pn1u1aqV169Zp3LhxmjhxooKCgpScnKysrCyvM00jRoxQUFCQZsyYoRUrVqh169bKzs72ugzpdDq1atUqZWZmatasWXK73UpISNDChQvVoUMH23sEAAD%2B4bwIWAUFBTWOd%2BzYUatWrTqrOdLT05Wenv6TdY0bN9a8efM0b968c1ojAAC4cPjdYxoAAADqOwIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABazLWD169dPS5cu1cmTJ%2B3aBQAAQL1kW8DatWuX7rjjDl188cVKT0/X2rVr7doVAABAvWJbwPr888/1wQcf6M4779SKFSvUs2dPtWnTRhMnTtSOHTvs2i0AAIDP2XoP1rXXXqsXXnhBJSUlWr58ua6//nrNmjVLXbp0UVxcnJ599lmVlJTYuQQAAIA6Vyc3uQcEBKhv37569dVXdfDgQaWmpurf//63MjMz1aZNGyUlJWn16tV1sRQAAADb1dm7CDdt2qSMjAzFxsZq2bJl6tixo6ZOnapp06bpwIED6tOnj/7yl7/U1XIAAABs08DOyffs2aNFixZpyZIl%2BvLLLxUVFaVBgwbp7rvvVrdu3cy68ePHKz09XbNmzdLkyZPtXBIAAIDtbAtY3bp107Zt2xQUFKTk5GTNnDlTt9xyixo0qHmXN910k1555RW7lgMAAFBnbAtYwcHBmjNnjm6//XY1adLkJ%2BtTUlK0d%2B9eu5YDAABQZ2wLWBs2bDin%2BrCwMLVr186m1QAAANQd225y3759u%2BbOnVvr9nnz5unf//63XbsHAADwGdsC1qRJk7Rq1apat69evVoPP/ywXbsHAADwGdsCVmFhoX73u9/Vur179%2B7asmWLXbsHAADwGdsC1vHjxxUUFFTr9oCAAB09etSu3QMAAPiMbQGrQ4cOevfdd2vd/s9//lO/%2BtWv7No9AACAz9gWsIYOHaoVK1ZowoQJOn78uDl%2B7NgxZWZm6p133tG9995r1%2B4BAAB8xrbHNDz44IPaunWrsrKylJ2drVatWkmSDh48qNOnT2vQoEEaP368XbsHAADwGdsClsPh0N///ncNHjxYeXl5%2BuKLLyRJvXv31oABA3TTTTfZtWsAAACfsvWzCCWpV69e6tWrl927AQAAqDdsuwcLAADgQmVrwJo/f76uu%2B46tWjRQg0bNlRQUJDHV8OGDe3cPQAAgE/YdonwoYce0vTp03XFFVcoNTVVTZs2tWtXAAAA9YptAevll19W//79lZuba9cuAAAA6iXbLhG63W7dfPPNdk0PAABQb9kWsG688UZ99NFHdk0PAABQb9kWsObMmaP3339fzzzzjL777ju7dgMAAFDv2BawrrjiCh04cEATJ05UZGSkGjdurIiICI%2BvyMhIu3YPAADgM7bd5N63b185HA67pgcAAKi3bAtYixYtsmtqAACAeo0nuQMAAFjM1oB18OBBZWRkqHPnzmrWrJnef/99SZLL5dK4ceO0fft2O3cPAADgE7ZdIty9e7e6d%2B%2BuiooKXX311dq9e7cqKiokSVFRUSooKNCxY8f017/%2B1a4lAAAA%2BIRtZ7AmTJig8PBw/ec//9Grr74qwzA8tvft29c8o3W2du3apbS0NLVr105hYWFq1qyZbrjhBr399ttetbt371ZSUpIaNWqkyMhIDR48WC6Xq8Z558%2Bfr06dOikkJESxsbGaPXt2jXVHjx7V8OHD1bx5c4WHh6tHjx7atm3bOfUAAADOf7YFrHXr1mnkyJG6%2BOKLa3w34SWXXKKioqJzmvOrr75SWVmZhgwZoueff16PPfaYHA6HUlJSPM6EFRUVqXv37vriiy80bdo0ZWZmauXKlbr55pt1%2BvRpjznnzp2r%2B%2B67T1dccYVmz56t6667TqNHj9b06dM96gzDUJ8%2BffTaa6%2BZ27/55hslJibq888/P6c%2BAADA%2Bc22S4SVlZUKCwurdbvL5VJgYOA5zXnLLbfolltu8RjLyMhQ165d9eyzz2rYsGGSpKlTp8rtdmv79u1q2bKlJOnqq69Wr169tGDBArOuvLxcjzzyiPr166fXX39dkpSenq7KykpNmTJFw4cPV%2BPGjSVJy5Yt08aNG5WXl6f%2B/ftLkgYOHKjY2FhNnjyZd00CAACTbWewrrrqKv3jH/%2BocVtlZaVee%2B01/eY3v/nF%2B3E4HGrdurXH0%2BLz8/OVnJxshitJ6tmzp2JjY7V06VJzrKCgQKWlpRo5cqTHnKNGjVJZWZlWrlxpjuXl5alFixZmuJJ%2BuJcsLS1Nb731lnl/GQAAgG0B66GHHtLKlSv1wAMPaPfu3ZJ%2BOGu1du1aJSUladeuXXrooYd%2B1twnTpzQkSNH9MUXX2jmzJlatWqVbrrpJklScXGxDh8%2BrG7dunm9LiEhweOeqerv4%2BPjPeri4%2BPldDq9art27VrjnCdOnNCePXt%2BVi8AAOD8Y%2BuT3OfPn68HH3xQc%2BbMkSQNGjRIkhQeHq6XX35ZiYmJP2vu8ePHa%2B7cuZIkp9OpAQMGaNasWZKkkpISSVJ0dLTX66Kjo1VaWqqKigoFBgaqpKREAQEBioqK8qgLDAxUZGSkiouLzbGSkhLdcMMNNc4p/RDsOnfu/LP6AQAA5xfbApYkDRkyRAMGDNA//vEPffbZZ6qqqlK7du10yy23mPc2/Rxjx47VwIEDVVxcrKVLl6qyslInT56UJLndbklSw4YNvV4XHBxs1gQGBsrtdisoKKjGfQQHB5tzVb%2BmtjkNw/CoBQAAFzZbA5YkNWrUSAMHDrR0ztjYWMXGxkqS7rrrLvXu3VspKSnatGmTQkJCJMkMXD9WXl4uSWZNSEiITp06VeM%2BysvLzbrq2trmdDgcHrUAAODCZlvA%2BvHltTOJiYn5xftKTU3VH//4R%2B3du9e8ZFd9qfDHSkpKFBERYb57MTo6WpWVlXK5XB6XCSsqKnTkyBGPtUVHR9c659n2MXbsWK8zd4MGDTIvnQIAgJ%2BndOdale5a6zF26ljNz7%2BsC7YFrFatWtX4/Kv/VVlZ%2BYv3VX157ujRo%2BrQoYOaNWumwsJCr7rNmzcrLi7O/DkuLk6GYaiwsFBJSUnm%2BJYtW1RVVeVVu2HDBq85N23apNDQUPOM2pnMnDmzxhvlAQDALxPROVERnRM9xo7sKNC%2B5c/4ZD22Bax58%2BZ5BazKykrt27dPf//73xUdHa3777//nOb85ptv1KxZM4%2Bx06dP629/%2B5tCQkLUqVMnSdKAAQO0cOFCFRUVmY9qWLNmjfbs2aPx48ebr%2B3Ro4ciIiKUk5PjEbBycnIUFhamvn37mmOpqanKy8tTfn6%2BbrvtNkk/vCsyNzdXKSkp5/xMLwAAcP6yLWBVP8yzJpMmTVJCQoJ5T9TZuv/%2B%2B3Xs2DH97ne/U8uWLfX1119r8eLF%2Bs9//qNnn31WoaGh5vy5ublKTEzUmDFjdPz4cWVlZalLly4aMmSIOV9wcLCmTJmijIwMpaWlqXfv3lq/fr2WLFmiJ598Uk2aNDFrU1NTlZ2draFDh2rnzp2KiorSnDlzVFVVpccff/yc%2BgAAAOc3229yr0l4eLjuvfdezZgxQ6NGjTrr191xxx2aP3%2B%2BXnzxRR05ckSNGjVSfHy8pk%2Bf7nG2qVWrVlq3bp3GjRuniRMnKigoSMnJycrKyvI60zRixAgFBQVpxowZWrFihVq3bq3s7Gw98MADHnVOp1OrVq1SZmamZs2aJbfbrYSEBC1cuFAdOnT4ZX8gAADgvOKTgFWtppvGzyQtLU1paWlnVduxY0etWrXqrGrT09OVnp7%2Bk3WNGzfWvHnzNG/evLOaFwAAXJjqPGCdOHFC69evV1ZWlsdN5AAAAOcL2wJWYGBgje8irKyslGEYatmypV544QW7dg8AAOAztgWsP//5z14By%2BFwqGnTpubT3HnnHQAAOB/ZFrCeeOIJu6YGAACo15y%2BXgAAAMD5xrYzWMOHDz/n1zgcDs2dO9eG1QAAANQd2wLWqlWr5Ha7VVpaKumHD32WpOPHj0uSIiIivD4g%2BWw%2BWgcAAKC%2Bs%2B0S4bvvvqvQ0FCvrrV4AAAgAElEQVRNmDBBxcXFOnr0qI4ePari4mJlZmYqLCxM7733ng4cOGB%2B7d%2B/367lAAAA1BnbzmBlZGSoV69emjZtmsd4ixYt9PTTT8vlcikjI0PvvvuuXUsAAADwCdvOYG3atEndunWrdXu3bt20ceNGu3YPAADgM7YFrCZNmmj16tW1bl%2B1apUaN25s1%2B4BAAB8xraANXz4cC1fvlwDBgzQ2rVrdfDgQR08eFAFBQW67bbbtHLlSt1///127R4AAMBnbLsH69FHH5Xb7daMGTP05ptvemwLCAjQn/70Jz322GN27R4AAMBnbAtYDodDTz31lMaOHavVq1eb7xC85JJL1KtXL1188cV27RoAAMCnbAtY1Zo3b667777b7t0AAADUG7Z%2BVE5VVZVyc3M1atQoDRw4UDt27JAkHTt2TMuXL9fhw4ft3D0AAIBP2Bawjh07pu7duystLU0LFixQfn6%2BGahCQ0M1YsQIPffcc3btHgAAwGdsC1gPPfSQPv74Y61cuVL79u2TYRjmtgYNGig1NVXvvPOOXbsHAADwGdsC1htvvKEHHnhAt9xyi5xO793ExsZq3759du0eAADAZ2wLWN9%2B%2B60uvfTSWrefPn1aFRUVdu0eAADAZ2wLWO3atdO2bdtq3f7ee%2B%2BpY8eOdu0eAADAZ2wLWOnp6Xr55ZeVl5dnjjkcDlVUVGjy5Ml65513NHz4cLt2DwAA4DO2PQdr7Nix%2BuSTTzRw4EBFRkZKku6%2B%2B265XC6dOnVK6enpuu%2B%2B%2B%2BzaPQAAgM/Y%2BiT3V155Rffcc49yc3O1d%2B9eVVVVqV27dkpLS1OPHj3s2jUAAIBP2RKwTp48qTVr1qhNmzZKTExUYmKiHbsBAACol2y5BysoKEj9%2B/fX%2B%2B%2B/b8f0AAAA9ZotAcvhcKh9%2B/YqLS21Y3oAAIB6zdYnub/wwgv67LPP7NoFAABAvWTbTe7btm1T06ZN1alTJ/Xs2VNt27ZVSEiIR43D4dCMGTPsWgKAemL//v1yuVy%2BXsbP8umnn/p6CQD8kG0BKzs72/x%2B9erVNdYQsIDz3/79%2B3XZrzuq3H3C10sBgDpjW8DiY3AASJLL5VK5%2B4TapmQqJKqNr5dzzr77bItK1i/09TIA%2BBlLA9akSZN0xx136Morr1RAQICVUwPwcyFRbRTaor2vl3HO3K4Dvl4CAD9k6U3u06ZN044dO8yfjxw5ooCAAP2///f/rNwNAABAvWbbuwirGYZh9y4AAADqFdsDFgAAwIWGgAUAAGAxy99FuG/fPm3dulWSdPToUUnS3r171aRJkxrru3btavUSAAAAfMrygPXoo4/q0Ucf9RgbOXKkV51hGHI4HKqsrLR6CQAAAD5lacB65ZVXrJwOAADAL1kasO655x4rp/NSWFioBQsWaO3atdq3b58iIyN1zTXX6IknnlCHDh08anfv3q0HH3xQH3zwgYKCgtS3b189%2B%2ByzioqK8pp3/vz5mjFjhr788ku1bt1ao0ePVkZGhlfd0aNHlZmZqTfffFMnTpxQQkKCZsyYoauuusq2ngEAgP%2Bx7Unudnj66af14YcfauDAgbryyiv19ddfa9asWeratav%2B9a9/qVOnTpKkoqIide/eXU2bNtW0adN0/PhxTZ8%2BXTt27NDmzZvVoMF/2547d65GjBihgQMHavz48Xr//fc1evRoud1uZWZmmnWGYahPnz765JNPNGHCBEVGRmrOnDlKTEzU1q1b1a5duzr/8wAAAPWTXwWs8ePH69VXX/UISGlpabriiis0bdo0LVz4w8dZTJ06VW63W9u3b1fLli0lSVdffbV69eqlBQsWaNiwYZKk8vJyPfLII%2BrXr59ef/11SVJ6eroqKys1ZcoUDR8%2BXI0bN5YkLVu2TBs3blReXp769%2B8vSRo4cKBiY2M1efJkLVq0qM7%2BHAAAQP3mV49puOaaazzClSS1b99enTt39vjE%2B/z8fCUnJ5vhSpJ69uyp2NhYLV261BwrKChQaWmp1034o0aNUllZmVauXGmO5eXlqUWLFma4kqSoqCilpaXprbfe4rMXAQCAya8CVm0OHTpk3ltVXFysw4cPq1u3bl51CQkJ2rZtm/lz9ffx8fEedfHx8XI6nV61NT1SIiEhQSdOnNCePXss6QUAAPg/vw9YixYtUlFRke644w5JUklJiSQpOjraqzY6OlqlpaXm2aaSkhIFBAR43fgeGBioyMhIFRcXm2MlJSW1zinJoxYAAFzY/Dpg7d69WxkZGbr%2B%2Bus1ePBgSZLb7ZYkNWzY0Ks%2BODjYo8btdisoKKjGuYODg8266tra5jQMw6MWAABc2Pw2YB06dEh9%2B/ZV06ZNtWzZMjkcDklSSEiIJOnkyZNerykvL/eoCQkJ0alTp2qcv7y83Kyrrq1tTofD4VELAAAubH71LsJqx44dU1JSko4dO6YNGzaoRYsW5rbqS3bVlwp/rKSkRBEREQoMDDRrKysr5XK5PC4TVlRU6MiRI4qJifGYt7Y5JXnU1mbs2LHmuxKrDRo0SIMGDfrJ1wIAgNqV7lyr0l1rPcZOHXP5ZjHyw4B18uRJJScn67PPPtOaNWt02WWXeWyPiYlRs2bNVFhY6PXazZs3Ky4uzvw5Li5OhmGosLBQSUlJ5viWLVtUVVXlVbthwwavOTdt2qTQ0FDFxsb%2B5NpnzpzJZy8CAGCDiM6Jiuic6DF2ZEeB9i1/xifr8atLhFVVVUpLS9O//vUv5ebmKiEhoca6AQMG6O2331ZRUZE5tmbNGu3Zs0dpaWnmWI8ePRQREaGcnByP1%2Bfk5CgsLEx9%2B/Y1x1JTU3Xo0CHl5%2BebYy6XS7m5uUpJSTHPigEAAPjVGaxx48ZpxYoVSklJkcvl0uLFiz2233nnnZKkSZMmKTc3V4mJiRozZoyOHz%2BurKwsdenSRUOGDDHrg4ODNWXKFGVkZCgtLU29e/fW%2BvXrtWTJEj355JNq0qSJWZuamqrs7GwNHTpUO3fuVFRUlObMmaOqqio9/vjjddE%2BAADwE34VsD7%2B%2BGM5HA6tWLFCK1as8NpeHbBatWqldevWady4cZo4caKCgoKUnJysrKwsrzNNI0aMUFBQkGbMmKEVK1aodevWys7O1gMPPOBR53Q6tWrVKmVmZmrWrFlyu91KSEjQwoULvT4HEQAAXNj8KmAVFBScdW3Hjh21atWqs6pNT09Xenr6T9Y1btxY8%2BbN07x58856HQAA4MLjV/dgAQAA%2BAMCFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFjM7wLW999/r8mTJ%2BuWW25RZGSknE6nFi5cWGPt7t27lZSUpEaNGikyMlKDBw%2BWy%2BWqsXb%2B/Pnq1KmTQkJCFBsbq9mzZ9dYd/ToUQ0fPlzNmzdXeHi4evTooW3btlnWHwAA8H9%2BF7BcLpemTJmi3bt3Ky4uTg6Ho8a6oqIide/eXV988YWmTZumzMxMrVy5UjfffLNOnz7tUTt37lzdd999uuKKKzR79mxdd911Gj16tKZPn%2B5RZxiG%2BvTpo9dee83c/s033ygxMVGff/65bT0DAAD/0sDXCzhXMTEx%2Bvrrr9W8eXN99NFHuvrqq2usmzp1qtxut7Zv366WLVtKkq6%2B%2Bmr16tVLCxYs0LBhwyRJ5eXleuSRR9SvXz%2B9/vrrkqT09HRVVlZqypQpGj58uBo3bixJWrZsmTZu3Ki8vDz1799fkjRw4EDFxsZq8uTJWrRokd3tAwAAP%2BB3Z7ACAwPVvHnzn6zLz89XcnKyGa4kqWfPnoqNjdXSpUvNsYKCApWWlmrkyJEerx81apTKysq0cuVKcywvL08tWrQww5UkRUVFKS0tTW%2B99ZYqKip%2BSWsAAOA84XcB62wUFxfr8OHD6tatm9e2hIQEj3umqr%2BPj4/3qIuPj5fT6fSq7dq1a41znjhxQnv27LGqBQAA4MfOy4BVUlIiSYqOjvbaFh0drdLSUvNsU0lJiQICAhQVFeVRFxgYqMjISBUXF3vMW9uckjxqAQDAheu8DFhut1uS1LBhQ69twcHBHjVut1tBQUE1zhMcHGzWVdfWNqdhGB61AADgwnVeBqyQkBBJ0smTJ722lZeXe9SEhITo1KlTNc5TXl5u1lXX1janw%2BHwqAUAABcuv3sX4dmovmRXfanwx0pKShQREaHAwECztrKyUi6Xy%2BMyYUVFhY4cOaKYmBiPeWubU5JHbU3Gjh1rviOx2qBBgzRo0KCz7AwAANSkdOdale5a6zF26ljNz76sC%2BdlwIqJiVGzZs1UWFjotW3z5s2Ki4szf46Li5NhGCosLFRSUpI5vmXLFlVVVXnVbtiwwWvOTZs2KTQ0VLGxsWdc18yZM2u8SR4AAPwyEZ0TFdE50WPsyI4C7Vv%2BjE/Wc15eIpSkAQMG6O2331ZRUZE5tmbNGu3Zs0dpaWnmWI8ePRQREaGcnByP1%2Bfk5CgsLEx9%2B/Y1x1JTU3Xo0CHl5%2BebYy6XS7m5uUpJSTHPigEAgAubX57BeuGFF/Tdd9%2BZ4Wn58uU6cOCAJGn06NFq1KiRJk2apNzcXCUmJmrMmDE6fvy4srKy1KVLFw0ZMsScKzg4WFOmTFFGRobS0tLUu3dvrV%2B/XkuWLNGTTz6pJk2amLWpqanKzs7W0KFDtXPnTkVFRWnOnDmqqqrS448/Xpd/BAAAoB7zy4CVlZWl/fv3S5IcDofeeOMNvfHGG5Kku%2B%2B%2BW40aNVKrVq20bt06jRs3ThMnTlRQUJCSk5OVlZXldaZpxIgRCgoK0owZM7RixQq1bt1a2dnZeuCBBzzqnE6nVq1apczMTM2aNUtut1sJCQlauHChOnToUDfNAwCAes8vA9aXX355VnUdO3bUqlWrzqo2PT1d6enpP1nXuHFjzZs3T/PmzTureQEAwIXnvL0HCwAAwFcIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUa%2BHoBF5I333xT27Zt8/UyfpZbb71VUVFRvl4GAAB%2BgYBVh6ZMmeLrJfxsa9as0ZIlS3y9DAAA/AIBqw51vHeWQlu09/Uyztlnyx5XWVmZr5cBAIDf4B4sAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIvxLkLAD%2Bzfv18ul8vXy/hZPv30U18vAQDqHAELqOf279%2Bvy37dUeXuE75eCgDgLBGwgHrO5XKp3H1CbVMyFRLVxtfLOWfffbZFJesX%2BnoZAFCnCFiAnwiJauOXD6p1uw74egkAUOe4yR0AAMBiBCwAAACLEbDO0alTp/TnP/9ZLVu2VGhoqK655hq99957vl4WAACoRwhY5%2Biee%2B5Rdna27r77bj3//PNq0KCB%2BvTpow8//NDXSwMAAPUEN7mfg82bN%2Bv111/XjBkzNHbsWEnS3Xffrcsvv1wTJkzQhg0bfLzCuvHqq69q0KBBvl7GOTmb50j94x//UFJSUh2t6Oz90udIle5cq4jOidYspp44H3uS6Mvf0BfOhIB1DnJzc9WgQQPdd9995ljDhg2Vnp6uhx9%2BWEVFRWrZsqUPV1g3/C1gnctzpB5%2B%2BOE6WFHdKt11/v3H8nzsSaIvf0NfOBMC1jnYvn27YmNjFR4e7jGekJBgbj9fA9aJEye0detWSdLRo0fN7/3Bp59%2BelbPkTrw7ly17nV/Ha7s7PAcKQDwPwSsc1BSUqLo6Giv8ejoaBmGoeLiYh%2Bsyn5VFSdVsPYjxcfHm2M//t5f/NRzpAKCw%2Brlc6Z4jhQA%2BB8C1jlwu91q2LCh13hwcLC5/XxkVJ5WVeVp8wxQfT3TUxvOAAEA6hoB6xyEhITo5MmTXuPl5eXm9ppUB699K7MVEFRzTX124tDnkqST3x2S5FDlKbdfnVWpOH5E0g9B60zrPnXMpSM7CupqWWet7MBOST%2B9/tr4uq9fuv6a1GVPdqy/Nnb0VZfrr80v6as%2BrL82Z9NXfV5/bX7clz%2Bu/8eq1%2B%2BTEyAGzlqvXr2Mzp07e42vWbPGcDgcxttvv13j6xYtWmRI4osvvvjiiy%2B%2BfPC1aNEiuyOCF85gnYO4uDitXbtWZWVlHje6b9q0SQ6HQ3FxcTW%2Brnfv3lq0aJHatm1b61kuAABgLbfbrX379ql37951vm%2BHYRhGne/VT23evFnXXHONsrKyNG7cOEk/PNn98ssvV7NmzfTBBx/4eIUAAKA%2B4AzWOUhISNDAgQM1ceJEHTp0SO3bt9eCBQv01Vdf6ZVXXvH18gAAQD3BGaxzdOrUKT366KNatGiRvv32W1155ZV64okndNNNN/l6aQAAoJ4gYAEAAFiMD3sGAACwGAHrAvD9999r8uTJuuWWWxQZGSmn06mFC2t%2B8Obs2bPVqVMnBQcHq1WrVho/frxOnPD8DL%2B//e1vcjqdtX69%2BuqrXvO%2B99576tmzp5o0aaKLLrpI3bp107Jly%2BpVX5J07NgxTZgwQbGxsQoNDVXbtm01bNgwHTjg%2BfyXr7/%2BWg899JB69Oihiy66SE6nU%2BvXr/9F/dSHvqr5y/E6fPiwhg4dqosvvlihoaGKj49Xbm6uV52/Ha%2Bz7aua1cersLBQGRkZuvzyyxUeHq5LLrlEt99%2Bu/bu3etVu3v3biUlJalRo0aKjIzU4MGDa/1g9fnz56tTp04KCQlRbGysZs%2Be7VVj57HyZV/V7PjdsqOvnJwcpaWl6ZJLLpHT6dS9995b477tPF5%2Br84fDIE6t2/fPsPhcBht27Y1evToYTidTuNvf/ubV92ECRMMh8Nh3H777cbcuXONMWPGGIGBgUZSUpJH3ZdffmksXrzY6ys%2BPt4IDAw0Dh065FH/8ssvG06n00hKSjLmzJljzJ071xg3bpwxY8aMetVXVVWVcfXVVxuNGjUyHnroIWP%2B/PnGxIkTjYsuusho3bq1UVZWZtauXbvWcDqdxmWXXWZcf/31htPpNNatW/eL%2BqkPfRmG/xyvY8eOGe3btzcaN25sTJ482ZgzZ46RmJhoOBwO49VXX/Wo9afjdS59GYY9xys1NdWIiYkxxowZY8yfP9%2BYOnWq0aJFCyM8PNzYuXOnWXfw4EEjKirK6NChgzF79mzjqaeeMiIiIoyrrrrKqKio8JjzxRdfNBwOh5GWlmb89a9/Ne655x7D4XAYzzzzjEedncfKl30Zhn2/W3b01bZtWyMqKsro06ePERQUZAwdOrTGfdt5vPwdAesCcOrUKTP0FBYWGg6Hw%2BsfgJKSEiMwMNAYMmSIx/js2bMNp9NZ60NUq7ndbuOiiy7y%2Bsdi3759RmhoqDF27FgLOvFkdV8ffvih4XA4jJycHI/aV155xXA6ncabb75pjpWVlRnffvutYRiGkZuba%2Bl/VHzZlz8dr2eeecZwOp3G2rVrzbGqqiojISHBiImJ8fgHw5%2BO17n0Zdfx2rhxo9c/uHv37jWCg4ONu%2B%2B%2B2xwbMWKEERYWZhw8eNAce%2B%2B99wyHw2G89NJL5pjb7TaioqKMlJQUjznvuusuo1GjRsZ3331njtl5rHzZl52/W1b3ZRiGsX//fvP78PDwWgOWncfL33GJ8AIQGBio5s2bn7Fm48aNqqys1O233%2B4xfscdd8gwDL322mtnfP3y5ct1/Phx3XnnnR7jOTk5qqqq0l/%2B8hdJP1xOsYrVfR07dkySvOZs0aKFJM%2BPQgoLC1OTJk1%2B0fpr48u%2B/Ol4bdiwQc2aNdMNN9xgjjkcDqWlpenrr7/WunXrzHF/Ol7n0pddx%2Buaa65RgwaeT/Fp3769OnfurE8//dQcy8/PV3Jyslq2bGmO9ezZU7GxsVq6dKk5VlBQoNLSUo0cOdJjzlGjRqmsrEwrV640x%2Bw8Vr7sy87fLav7kqTWrVuf1b7tPF7%2BjoAFSTI/Y/F/nzQfGhoqSfroo4/O%2BPrFixcrNDRU/fv39xhfs2aNfv3rX2vlypVq3bq1ed3/sccek1EHb2A9l766deumsLAwPfrooyooKFBxcbHWrVunP//5z0pISKhXj%2BKwqy9/Ol4nT56s8ZMRQkNDZRjGT/6drUt29VXXx%2BvQoUOKioqSJBUXF%2Bvw4cPq1q2bV11CQoK2bdtm/lz9fXx8vEddfHy8nE6nR60v1EVfvvjd%2Brl9wRoELEiSLrvsMhmG4fU0%2BuqbFYuKimp97bfffqvVq1crJSVFYWFhHtv27t2r/fv3695779WwYcOUl5enPn366IknntAjjzxifSP/41z6ioyM1NKlS/Xdd9%2BpZ8%2BeatWqlW688Ua1bNlSa9askdNZf35d7OrLn47XZZddpoMHD3rdqL9%2B/Xo5HI4z/p2ta3b1VZfHa9GiRSoqKtIdd9whSSopKZEkRUdHe9VGR0ertLRUFRUVZm1AQID5j321wMBARUZGqri42NK1nou66quuf7d%2BSV%2BwBk9yhyTpqquu0m9%2B8xs9/fTTiomJ0Y033qhdu3Zp5MiRCgwMPOMnkS9btkwVFRVelwclqaysTIZh6Omnn9af/vQnSVL//v115MgRPffcc5o0aZJXKPNlX1FRUeratat%2B%2B9vfqlOnTtq%2BfbuefvppDRkyxOsUui/Z1Zc/Ha9hw4bpxRdf1MCBAzVz5kxdfPHFev311/Xmm29K0hn/ztY1u/qqq%2BO1e/duZWRk6Prrr9fgwYM91tGwYUOv%2BuDgYLOmur%2BgoKAa5w4ODvbZsarLvuryd%2BuX9gVr1J//JYfP5efnq0uXLkpPT9evfvUr3Xrrrbr99tt11VVXeXy49f9avHixIiIilJSU5LWt%2BlJH9f9FVRs0aJDcbnednJY%2B276%2B%2BOIL3XjjjUpPT9ef//xn9evXT48%2B%2BqjmzJmj3NxcrV692va1ngs7%2BvKn43XFFVfo1Vdf1RdffKHf/va3at%2B%2BvWbPnq3nnntOhmGc8e%2BsL9jRV10cr0OHDqlv375q2rSpli1bJofD4bHv6sufP1ZeXu5RExISolOnTtU4f3l5eY2XRO1W133V1e%2BWFX3BGpzBgik6Olrr16/X559/rq%2B//lodOnRQ8%2BbN1bJlS8XGxtb4mgMHDmjDhg364x//qICAAK/tMTEx%2Buyzz3TxxRd7jDdv3lyGYejbb7%2B1pZcfO9u%2BFixYoJMnT6pv374er09JSZEkffDBBz75RPba2NGXPx0vSbrtttuUkpKijz/%2BWJWVleratasKCgokqda/s75iR192H69jx44pKSlJx44d04YNG8w3RlT3I/330tOPlZSUKCIiwjwbEh0drcrKSrlcLo/LaRUVFTpy5IhiYmJ%2B0TrPlS/6qovfLav6gjU4gwUv7dq10/XXX6/mzZtr165dKikpUa9evWqsXbJkiSTVeHlQ%2Bu/Nn/97P0xRUZEcDoeaNWtm4crP7Kf6Onz4sAzDUGVlpcfrqu9LOH36dJ2t9VxY2Zc/Ha9qDRo0UHx8vBISEtSgQQO9%2B%2B67cjgc9epNCT9mZV92Hq%2BTJ08qOTlZn332mVauXKnLLrvMY3tMTIyaNWumwsJCr9du3rxZcXFx5s9xcXEyDMOrdsuWLaqqqvKotZuv%2BrL7d8vKvmANAhZqZRiGJkyYoLCwMN1///011rz66qtq06aNrrvuuhq333777TIMQ/Pnz/eY95VXXlFERITXu2/qQm19xcbGqqqqyuteqyVLlsjhcKhr1651vdRz8nP7uuqqq8wxfzpeNdm7d6/mzp2rfv36qX379nW0wp/Hir7sOl5VVVVKS0vTv/71L%2BXm5iohIaHGugEDBujtt9/2CA1r1qzRnj17lJaWZo716NFDERERysnJ8Xh9Tk6OwsLCvM6u2sWXfdn5u2V1X7AGlwgvEC%2B88IK%2B%2B%2B478xdr%2BfLl5ruURo8erUaNGunBBx9UeXm54uLiVFFRocWLF6uwsFALFy5Uq1atvObcsWOH/v3vf2vSpEm17vfWW29Vz5499dRTT%2Bmbb75Rly5d9MYbb%2BjDDz/UvHnzfvEpaSv7GjJkiLKysnT//fdr69at6ty5sz766CPNnz9fl19%2BuX7/%2B9977PuJJ56Qw%2BHQzp07ZRiGFi5cqPfff1%2BS9PDDD/tNXz9%2BtIY/HS9J6ty5swYOHKg2bdroiy%2B%2B0IsvvqioqCivf/Ak/zle59KXXcdr3LhxWrFihVJSUuRyubR48WKP7dVnrCdNmqTc3FwlJiZqzJgxOn78uLKystSlSxcNGTLErA8ODtaUKVOUkZGhtLQ09e7dW%2BvXr9eSJUv05JNPej1Hya5j5cu%2B7PzdsrovSXr77bf18ccfyzAMVVRU6OOPP9bUqVPNXi6//HKz1s7fLb9m/bNLUR%2B1bdvWcDqdNX599dVXhmEYxoIFC4yrrrrKaNSokdG4cWOjV69eZ3wi78SJEw2n02ns2LHjjPv%2B/vvvjbFjxxoxMTFGcHCw0aVLlxo/8qM%2B9FVcXGwMGzbMaNeunREcHGy0bNnS%2BOMf/2gcOXLEq9bhcNS434CAAL/uy5%2BO1x/%2B8AfjkksuMYKDg41WrVoZo0aNMr755psaa/3peJ1LX3Ycr8TExFr7cTqdHrW7du0ykpKSjPDwcCMiIsIYPHiwcfjw4Rrn/etf/2p07GvXNb0AAACrSURBVNjRCA4ONjp06GA8//zzNdbZdax83Zddv1t29DVkyJBa5/vfTyqw83fLnzkMow6eHggAAHAB4R4sAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAAP%2B/3ToWAAAAABjkbz2JnUURM8ECAJgJFgDATLAAAGaCBQAwEywAgJlgAQDMBAsAYCZYAAAzwQIAmAkWAMBMsAAAZoIFADALx5bCdZHug10AAAAASUVORK5CYII%3D\">\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>sampleDepthUnit</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td>m</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">sampleFractionType<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>3</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-1455852626530523405\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Total</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 93.7%\">\n",
-       "            27685\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Dissolved</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:7%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 6.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1831\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Non-filter</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.1%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        15\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-1455852626530523405, #minifreqtable-1455852626530523405\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1455852626530523405\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Total</td>\n",
-       "        <td class=\"number\">27685</td>\n",
-       "        <td class=\"number\">93.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Dissolved</td>\n",
-       "        <td class=\"number\">1831</td>\n",
-       "        <td class=\"number\">6.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Non-filter</td>\n",
-       "        <td class=\"number\">15</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">sampleLowerDepth<br/>\n",
-       "            <small>Numeric</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>2</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>0.1%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"alert\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>91.4%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"alert\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>27006</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "\n",
-       "                <tr>\n",
-       "                    <th>Mean</th>\n",
-       "                    <td>2</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>2</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>2</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Zeros (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram6469317451415776097\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAAv5JREFUeJzt3TFIG1Ecx/FfjiI9xe2EIhgvUkyzODgLjtm6uTk4iZuDdM7okMFdcHu72EFw0cmpkzqkhYLhilDhBnHw7OJ1iiCt/ySFu5fQ7wfeIPzjvYT3JVwIRLkHzrlcEos11HLOlX5W38iDOI4lSc45NRoNH1vAGOl0OlpfX38%2BN2XyEkgYhpKkRqOh5eVlH1vAGOqdmzIFpV8RGCMEAhgIBDAQCGDwcpOO1yVJojRNB56PokjVarXAHf3fCGSEJEmi%2BoeGHrOHgR/zNpzUt68dIikIgYyQNE31mD0o/vhJYdT/wGdpou7nttI0JZCCEMgICqOqJt%2B9970NiJt0wEQggIFAAAOBAAYCAQwEAhgIBDAQCGAgEMBAIICBQAADgQAGAgEMBAIYCAQwEAhgIBDAQCCAgUAAA4EABgIBDAQCGAgEMBAIYCAQwEAggIFAAAOBAAYCAQwEAhgIBDAQCGAgEMBAIICBQAADgQAGAgEMXn7lNssySVKn0xlo/vT0VK1Wa%2BD/v7Ozo3q9PvB8EAR6enoqZH6Y2evra0nS3fcvytIffed/3f2UJB0fHw/0Whb5PIedj6JIMzMzA832nlvv3JQq98A5l0tisYZazrnSz2olz/NcJUvTVCcnJ4rjWGEYln15jJksy9TtdtVsNhVFUanX9hIIMC64SQcMBAIYCgtke3tbtVpNQRDo8vKy7/zGxoaCIND9/X1RWwKGVlgga2trOj8/VxzHfWcPDw81MTGhSqVS1HaAf1JYICsrK5qdnVW/zwBub2%2B1u7urvb29vrNA2bzfg2xubqrdbmtqasr3VoA/eA3k4OBA8/PzWl1d9bkN4FVeAzk7O9PR0ZEWFhZUq9UkSUtLS7q4uPC5LeCZl%2B9i9TjnXvwdBIGurq40PT3taUfAS4W9g2xtbWlubk43NzdqNptaXFyUJLVaLe3v7//1MZVKhRt1jBS%2BagIYvH%2BKBYwyAgEMBAIYCAQwEAhgIBDAQCCAgUAAA4EABgIBDAQCGAgEMPwGaweVbvJBiN4AAAAASUVORK5CYII%3D\">\n",
-       "\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives6469317451415776097,#minihistogram6469317451415776097\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives6469317451415776097\">\n",
-       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
-       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles6469317451415776097\"\n",
-       "                                                  aria-controls=\"quantiles6469317451415776097\" role=\"tab\"\n",
-       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#histogram6469317451415776097\" aria-controls=\"histogram6469317451415776097\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#common6469317451415776097\" aria-controls=\"common6469317451415776097\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#extreme6469317451415776097\" aria-controls=\"extreme6469317451415776097\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
-       "\n",
-       "    </ul>\n",
-       "\n",
-       "    <div class=\"tab-content\">\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles6469317451415776097\">\n",
-       "            <div class=\"col-md-4 col-md-offset-1\">\n",
-       "                <p class=\"h4\">Quantile statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Minimum</th>\n",
-       "                        <td>2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>5-th percentile</th>\n",
-       "                        <td>2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q1</th>\n",
-       "                        <td>2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Median</th>\n",
-       "                        <td>2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q3</th>\n",
-       "                        <td>2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>95-th percentile</th>\n",
-       "                        <td>2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Maximum</th>\n",
-       "                        <td>2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Range</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Interquartile range</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "            <div class=\"col-md-4 col-md-offset-2\">\n",
-       "                <p class=\"h4\">Descriptive statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Standard deviation</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Coef of variation</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Kurtosis</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Mean</th>\n",
-       "                        <td>2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>MAD</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr class=\"\">\n",
-       "                        <th>Skewness</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Sum</th>\n",
-       "                        <td>5050</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Variance</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Memory size</th>\n",
-       "                        <td>230.8 KiB</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram6469317451415776097\">\n",
-       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3X9YVHXe//HXgOCAGCpgQpqWSmk/JDHutnJjMfM3e6tAcZuuLureJlrqF1ddW9s1y1ZdudfC1b3dyjVZEzQjQzfNUrdMEftlmbZlGaA1kig6IMH5/tHF3M0O5A/OYRh5Pq5rrks%2B530%2Bn8/5hJ2X55yZsRmGYQgAAACm8fP2BAAAAK40BCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATOZTAeujjz5SSkqKunbtqlatWikiIkL33HOPXnnlFY/aQ4cOaeDAgWrdurXCwsI0ZswYORyOOvtdtWqVevbsqaCgIEVHR%2Bvpp5%2Bus66srEwTJ05U%2B/btFRISooSEBB04cMDUYwQAAL6vhbcncCm%2B%2BOILlZeXa%2BzYsYqKitK5c%2BeUm5urxMRErVy5UuPHj5ckFRUVqW/fvmrbtq0WLlyoM2fOaNGiRfrwww%2B1d%2B9etWjxf4e9YsUKTZo0ScnJyZoxY4Z27dqlqVOnyul0KiMjw1VnGIYGDx6sDz74QDNnzlRYWJiysrIUHx%2BvwsJCde3atdHXAwAANE02wzAMb0%2BiIQzDUO/evVVZWamPPvpIkvTQQw9p9erV%2BuSTT3TNNddIkrZv367%2B/fu7BbGKigp16tRJd955pzZt2uTqc/To0dq0aZOOHTum0NBQSdKLL76oBx54QLm5uRo%2BfLgkyeFwKDo6WoMHD9aaNWsa87ABAEAT5lO3COtis9nUqVMnnTp1ytW2YcMGDR061BWuJKlfv36Kjo7Wiy%2B%2B6GrbsWOHSktL9dBDD7n1OXnyZJWXl2vz5s2uttzcXHXo0MEVriQpPDxcKSkp2rRpk6qqqqw4PAAA4IN8MmCdO3dOJ0%2Be1GeffaalS5cqPz9f9957rySpuLhYX3/9tfr06eOxX1xcnNszU7V/jo2NdauLjY2Vn5%2BfR23v3r3r7PPcuXM6fPiwKccGAAB8n08GrBkzZigiIkLdunVTRkaGRowYoWXLlkmSSkpKJEmRkZEe%2B0VGRqq0tNR1tamkpET%2B/v4KDw93qwsICFBYWJiKi4tdbSUlJfX2KcmtFgAANG8%2B9ZB7rWnTpik5OVnFxcV68cUXVV1drcrKSkmS0%2BmUJLVs2dJjP7vd7qoJCAiQ0%2BlUYGBgnWPY7XZXX7X71NenYRhutQAAoHnzyYAVHR2t6OhoSdKDDz6oAQMGKDExUXv27FFQUJAkuQLXD1VUVEiSqyYoKEjnz5%2Bvc4yKigpXXW1tfX3abDa32n/ncDi0detWdenS5UfrAACAeZxOp44ePaoBAwZ43K2ymk8GrH%2BXlJSk//7v/9aRI0dct%2BxqbxX%2BUElJidq1a6eAgABJ39/eq66ulsPhcFv4qqoqnTx5UlFRUa62yMjIevuU5Fb777Zu3aoHH3zw8g4OAAA0yJo1azRq1KhGHfOKCFi1t%2BfKysrUvXt3RUREqKCgwKNu7969iomJcf0cExMjwzBUUFCggQMHutr37dunmpoaj9rdu3d79Llnzx4FBwe7rqjVpUuXLpK%2B/w/co0ePSz4%2BfH9beOnSpd6ehs9i/RqG9WsY1q9hWL/L9/HHH%2BvBBx90nYcbk08FrG%2B%2B%2BUYRERFubd99952ef/55BQUFqWfPnpKkkSNHavXq1SoqKnL7HKzDhw9rxowZrn0TEhLUrl07LV%2B%2B3C1gLV%2B%2BXK1atdKQIUNcbUlJScrNzdWGDRs0YsQISd/f%2BsvJyVFiYqLrqlhdam8L9ujRo853IuLCQkNDWbsGYP0ahvVrGNavYVi/hvPG4zk%2BFbB%2B9atf6fTp0/rpT3%2Bqa665RsePH9cLL7ygTz75RH/84x8VHBwsSZozZ45ycnIUHx%2Bvhx9%2BWGfOnNHixYvVq1cvjR071tWf3W7X/PnzlZ6erpSUFA0YMEA7d%2B7U2rVr9cQTT6hNmzau2qSkJGVmZmrcuHE6ePCgwsPDlZWVpZqaGj322GONvBIAAKAp86mA9cADD2jVqlX685//rJMnT6p169aKjY3VokWL3K42dezYUW%2B%2B%2BaamT5%2Bu2bNnKzAwUEOHDtXixYs9rjRNmjRJgYGBWrJkifLy8tSpUydlZmZqypQpbnV%2Bfn7Kz89XRkaGli1bJqfTqbi4OK1evVrdu3dvlOMHAAC%2BwacCVkpKilJSUi6qtkePHsrPz7%2Bo2rS0NKWlpV2wLjQ0VCtXrtTKlSsvql8AANA8%2BeQHjaL5SU1N9fYUfBrr1zCsX8Owfg3D%2Bvkmn/%2ByZ19QWFio2NhY7d%2B/nwcVAQBoJN48/3IFCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQ%2BFbAKCgqUnp6um2%2B%2BWSEhIercubPuv/9%2BHTlyxK1u3Lhx8vPz83j17Nmzzn5XrVqlnj17KigoSNHR0Xr66afrrCsrK9PEiRPVvn17hYSEKCEhQQcOHDD9OAEAgG9r4e0JXIqnnnpKb731lpKTk3Xrrbfq%2BPHjWrZsmXr37q133nnHLUDZ7XatWrVKhmG42kJDQz36XLFihSZNmqTk5GTNmDFDu3bt0tSpU%2BV0OpWRkeGqMwxDgwcP1gcffKCZM2cqLCxMWVlZio%2BPV2Fhobp27WrtwQMAAN9h%2BJC3337bqKqqcms7cuSIYbfbjdGjR7vaxo4da7Ru3fqC/TmdTiM8PNxITEx0a3/wwQeN1q1bG6dOnXK1rVu3zrDZbMaGDRtcbd98843Rtm1bY9SoUT86zv79%2Bw1Jxv79%2By84JwAAYA5vnn996hbhHXfcoRYt3C%2B6devWTTfddJM%2B/vhjj/qamhqdOXOm3v527Nih0tJSPfTQQ27tkydPVnl5uTZv3uxqy83NVYcOHTR8%2BHBXW3h4uFJSUrRp0yZVVVVd7mEBAIArjE8FrPqcOHFC4eHhbm3nzp3TVVddpdDQUIWFhSk9PV1nz551q6l9fio2NtatPTY2Vn5%2Bfm7PVx04cEC9e/f2GDsuLk7nzp3T4cOHzTocAADg43zqGay6rFmzRkVFRXr88cddbVFRUZo5c6Z69%2B6tmpoabdmyRVlZWXr//ff1xhtvyM/v%2B1xZUlIif39/j3AWEBCgsLAwFRcXu9pKSkp0zz33eIwfGRkpSSouLtZNN91kxSEC8LIvv/xSDofD29OoV3h4uK699lpvTwPAD/h0wDp06JDS09N11113acyYMa72BQsWuNWlpKSoe/fumjt3rnJycpSSkiJJcjqdCgwMrLNvu90up9Pp%2BtnpdKply5Z11hmG4VYL4Mrx5Zdf6oYbe6jCec7bU6mXPShYnxz6mJAFNCE%2BG7BOnDihIUOGqG3btlq/fr1sNtuP1k%2BbNk2PPvqotm3b5gpYQUFBOn/%2BfJ31FRUVCgoKcv0cFBSkysrKOutsNptbLYArh8PhUIXznLokZigovOkFGKfjSx19eZEcDgcBC2hCfDJgnT59WgMHDtTp06e1e/dudejQ4YL72O12hYWFqbS01NUWGRmp6upqORwOt9uEVVVVOnnypKKiotxqS0pKPPqtbfthbX2mTZvm8VERqampSk1NveC%2BALwrKPxaBXfo5u1pAKhHdna2srOz3drKysq8NBsfDFiVlZUaOnSoPv30U23fvl033HDDRe1XXl4uh8OhiIgIV1tMTIwMw1BBQYEGDhzoat%2B3b59qamoUExPjVrt7926Pfvfs2aPg4GBFR0dfcA5Lly6t80F5AADQMHVdsCgsLPR4I1tj8al3EdbU1CglJUXvvPOOcnJyFBcX51FTWVmp8vJyj/bf//73kqRBgwa52hISEtSuXTstX77crXb58uVq1aqVhgwZ4mpLSkrSiRMntGHDBlebw%2BFQTk6OEhMTFRAQ0ODjAwAAVwafuoI1ffp05eXlKTExUQ6HQy%2B88ILb9lGjRun48eO67bbblJqaqhtvvFGStGXLFuXn52vw4MFKTEx01dvtds2fP1/p6elKSUnRgAEDtHPnTq1du1ZPPPGE2rRp46pNSkpSZmamxo0bp4MHDyo8PFxZWVmqqanRY4891ijHDwAAfINPBaz33ntPNptNeXl5ysvL89g%2BatQotWnTRsOGDdO2bdu0evVqVVdXq1u3blq4cKFmzJjhsc%2BkSZMUGBioJUuWKC8vT506dVJmZqamTJniVufn56f8/HxlZGRo2bJlcjqdiouL0%2BrVq9W9e3fLjhkAAPgenwpYO3bsuGBNaGionn/%2B%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%2B%2BfdW2bVstXLhQZ86c0aJFi/Thhx9q7969atHi/w57xYoVmjRpkpKTkzVjxgzt2rVLU6dOldPpVEZGhqvOMAwNHjxYH3zwgWbOnKmwsDBlZWUpPj5ehYWF6tq1a6OvBwAAaJp8KmDNmDFD2dnZbgEpJSVFt9xyixYuXKjVq1dLkhYsWCCn06l3331X11xzjSTp9ttvV//%2B/fXcc89p/PjxkqSKigrNnTtXw4YN07p16yRJaWlpqq6u1vz58zVx4kSFhoZKktavX6%2B3335bubm5Gj58uCQpOTlZ0dHRmjdvntasWdNo6wAAAJo2n7pFeMcdd7iFK0nq1q2bbrrpJn388ceutg0bNmjo0KGucCVJ/fr1U3R0tF588UVX244dO1RaWqqHHnrIrc/JkyervLxcmzdvdrXl5uaqQ4cOrnAlSeHh4UpJSdGmTZtUVVVl2nECAADf5lMBqz4nTpxQeHi4JKm4uFhff/21%2BvTp41EXFxfn9sxU7Z9jY2Pd6mJjY%2BXn5%2BdR27t37zr7PHfunA4fPmzKsQAAAN/n8wFrzZo1Kioq0gMPPCBJKikpkSRFRkZ61EZGRqq0tNR1tamkpET%2B/v6ucFYrICBAYWFhKi4udrWVlJTU26ckt1oAANC8%2BXTAOnTokNLT03XXXXdpzJgxkiSn0ylJatmypUe93W53q3E6nQoMDKyzb7vd7qqrra2vT8Mw3GoBAEDz5rMB68SJExoyZIjatm2r9evXy2azSZKCgoIkSZWVlR77VFRUuNUEBQXp/PnzdfZfUVHhqqutra9Pm83mVgsAAJo3n3oXYa3Tp09r4MCBOn36tHbv3q0OHTq4ttXesqu9VfhDJSUlateunQICAly11dXVcjgcbrcJq6qqdPLkSUVFRbn1W1%2Bfktxq6zNt2jTXuxJrpaamKjU19YL7AgCA%2BmVnZys7O9utrayszEuz8cGAVVlZqaFDh%2BrTTz/V9u3bdcMNN7htj4qKUkREhAoKCjz23bt3r2JiYlw/x8TEyDAMFRQUaODAga72ffv2qaamxqN29%2B7dHn3u2bNHwcHBio6OvuDcly5dWueD8gAAoGHqumBRWFjo8Ua2xuJTtwhramqUkpKid955Rzk5OYqLi6uzbuTIkXrllVdUVFTkatu%2BfbsOHz6slJQUV1tCQoLatWun5cuXu%2B2/fPlytWrVSkOGDHG1JSUl6cSJE9qwYYOrzeFwKCcnR4mJia6rYgAAAD51BWv69OnKy8tTYmKiHA6HXnjhBbfto0aNkiTNmTNHOTk5io%2BP18MPP6wzZ85o8eLF6tWrl8aOHeuqt9vtmj9/vtLT05WSkqIBAwZo586dWrt2rZ544gm1adPGVZuUlKTMzEyNGzdOBw8eVHh4uLKyslRTU6PHHnusMQ4fAAD4CJ8KWO%2B9955sNpvy8vKUl5fnsb02YHXs2FFvvvmmpk%2BfrtmzZyswMFBDhw7V4sWLPa40TZo0SYGBgVqyZIny8vLUqVMnZWZmasqUKW51fn5%2Bys/PV0ZGhpYtWyan06m4uDitXr1a3bt3t%2B6gAQCAz/GpgLVjx46Lru3Ro4fy8/MvqjYtLU1paWkXrAsNDdXKlSu1cuXKi54HAABofnzqGSwAAABfQMACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGSWBaxhw4bpxRdfVGVlpVVDAAAANEmWBayPPvpIDzzwgK6%2B%2BmqlpaXpjTfesGooAACAJsWygPWvf/1L//znPzVq1Cjl5eWpX79%2BuvbaazV79mx9%2BOGHVg0LAADgdZY%2Bg/WTn/xEzzzzjEpKSvTyyy/rrrvu0rJly9SrVy/FxMToj3/8o0pKSqycAgAAQKNrlIfc/f39NWTIEGVnZ%2Burr75SUlKS3n//fWVkZOjaa6/VwIEDtXXr1saYCgAAgOUa7V2Ee/bsUXp6uqKjo7V%2B/Xr16NFDCxYs0MKFC3Xs2DENHjxYv/vd7xprOgAAAJZpYWXnhw8f1po1a7R27Vp9/vnnCg8PV2pqqkaPHq0%2Bffq46mbMmKG0tDQtW7ZM8%2BbNs3JKAAAAlrMsYPXp00cHDhxQYGCghg4dqqVLl2rQoEFq0aLuIe%2B99149%2B%2ByzVk0HAACg0VgWsOx2u7KysnT//ferTZs2F6xPTEzUkSNHrJoOAABAo7EsYO3evfuS6lu1aqWuXbtaNBsAAIDGY9lD7u%2B%2B%2B65WrFhR7/aVK1fq/ffft2p4AAAAr7EsYM2ZM0f5%2Bfn1bt%2B6dat%2B85vfWDU8AACA11gWsAoKCvTTn/603u19%2B/bVvn37rBoeAADAaywLWGfOnFFgYGC92/39/VVWVmbV8AAAAF5jWcDq3r27XnvttXq3/%2BMf/9B1111n1fAAAABeY1nAGjdunPLy8jRz5kydOXPG1X769GllZGTo1Vdf1S9/%2BUurhgcAAPAayz6m4ZFHHlFhYaEWL16szMxMdezYUZL01Vdf6bvvvlNqaqpmzJhh1fAAAABeY1nAstls%2Btvf/qYxY8YoNzdXn332mSRpwIABGjlypO69916rhgYAAPAqS7%2BLUJL69%2B%2Bv/v37Wz0MAABAk2HZM1gAAADNlaUBa9WqVbrzzjvVoUMHtWzZUoGBgW6vli1bWjk8AACAV1h2i3DWrFlatGiRbrnlFiUlJalt27ZWDQUAANCkWBaw/vrXv2r48OHKycmxaggAAIAmybJbhE6nU/fdd59V3QMAADRZlgWsn/3sZ9q/f79V3QMAADRZlgWsrKws7dq1S3/4wx906tQpq4YBAABociwLWLfccouOHTum2bNnKywsTKGhoWrXrp3bKywszKrhAQAAvMayh9yHDBkim81mVfcAAABNlmUBa82aNVZ1DQAA0KTxSe4AAAAmszRgffXVV0pPT9dNN92kiIgI7dq1S5LkcDg0ffp0vfvuu1YODwAA4BWW3SI8dOiQ%2Bvbtq6qqKt1%2B%2B%2B06dOiQqqqqJEnh4eHasWOHTp8%2Brf/93/%2B1agoAAABeYdkVrJkzZyokJESffPKJsrOzZRiG2/YhQ4a4rmhdirNnz2revHkaNGiQwsLC5Ofnp9WrV3vUjRs3Tn5%2Bfh6vnj171tnvqlWr1LNnTwUFBSk6OlpPP/10nXVlZWWaOHGi2rdvr5CQECUkJOjAgQOXfBwAAODKZdkVrDfffFNz587V1VdfrZMnT3ps79y5s4qKii65X4fDofnz56tz586KiYnRG2%2B8UW%2Bt3W7XqlWr3MJdaGioR92KFSs0adIkJScna8aMGdq1a5emTp0qp9OpjIwMV51hGBo8eLA%2B%2BOADzZw5U2FhYcrKylJ8fLwKCwvVtWvXSz4eAABw5bEsYFVXV6tVq1b1bnc4HAoICLjkfqOionT8%2BHG1b99e%2B/fv1%2B23315vbYsWLZSamvqj/VVUVGju3LkaNmyY1q1bJ0lKS0tTdXW15s%2Bfr4kTJ7pC2fr16/X2228rNzdXw4cPlyQlJycrOjpa8%2BbN452TAABAkoW3CG%2B77TZt2bKlzm3V1dX6%2B9//rv/4j/%2B45H4DAgLUvn37i66vqanRmTNn6t2%2BY8cOlZaW6qGHHnJrnzx5ssrLy7V582ZXW25urjp06OAKV9L3z5OlpKRo06ZNrmfMAABA82ZZwJo1a5Y2b96sKVOm6NChQ5K%2Bv2r1xhtvaODAgfroo480a9Ysq4aXJJ07d05XXXWVQkNDFRYWpvT0dJ09e9atpvb5qdjYWLf22NhY%2Bfn5uT1fdeDAAfXu3dtjnLi4OJ07d06HDx%2B24CgAAICvsfST3FetWqVHHnlEWVlZkuS6XRcSEqK//vWvio%2BPt2p4RUVFaebMmerdu7dqamq0ZcsWZWVl6f3339cbb7whP7/vs2VJSYn8/f0VHh7utn9AQIDCwsJUXFzsaispKdE999zjMVZkZKQkqbi4WDfddJNlxwQAAHyDZQFLksaOHauRI0dqy5Yt%2BvTTT1VTU6OuXbtq0KBBdT5sbqYFCxa4/ZySkqLu3btr7ty5ysnJUUpKiiTJ6XQqMDCwzj7sdrucTqfrZ6fTqZYtW9ZZZxiGWy0AAGi%2BLA1YktS6dWslJydbPcxFmTZtmh599FFt27bNFbCCgoJ0/vz5OusrKioUFBTk%2BjkoKEiVlZV11tlsNrdaAADQfFkWsH54a%2B3HREVFWTUFD3a7XWFhYSotLXW1RUZGqrq6Wg6Hw%2B02YVVVlU6ePOk2v8jISJWUlHj0W9t2oWOZNm2ax5W71NTUC77TEQAA/Ljs7GxlZ2e7tZWVlXlpNhYGrI4dO8pms12wrrq62qopeCgvL5fD4VBERISrLSYmRoZhqKCgQAMHDnS179u3TzU1NYqJiXGr3b17t0e/e/bsUXBwsKKjo390/KVLl9b5kDwAAGiYui5YFBYWeryJrbFYFrBWrlzpEbCqq6t19OhR/e1vf1NkZKR%2B9atfWTJ2ZWWlqqqqFBIS4tb%2B%2B9//XpI0aNAgV1tCQoLatWun5cuXuwWs5cuXq1WrVhoyZIirLSkpSbm5udqwYYNGjBgh6ft3Rubk5CgxMfGyPtcLAABceSwLWOPHj69325w5cxQXF6eKiorL6vuZZ57RqVOnXJ8E//LLL%2BvYsWOSpKlTp6q0tFS33XabUlNTdeONN0qStmzZovz8fA0ePFiJiYmuvux2u%2BbPn6/09HSlpKRowIAB2rlzp9auXasnnnhCbdq0cdUmJSUpMzNT48aN08GDBxUeHq6srCzV1NToscceu6xjAQAAVx7LH3KvS0hIiH75y19qyZIlmjx58iXvv3jxYn355ZeSJJvNpo0bN2rjxo2SpNGjR6tNmzYaNmyYtm3bptWrV6u6ulrdunXTwoULNWPGDI/%2BJk2apMDAQC1ZskR5eXnq1KmTMjMzNWXKFLc6Pz8/5efnKyMjQ8uWLZPT6VRcXJxWr16t7t27X8ZKAACAK5FXAlatuh4Yvxiff/75BWuef/75S%2BozLS1NaWlpF6wLDQ3VypUrtXLlykvqHwAANB%2BNHrDOnTunnTt3avHixW4PkAMAAFwpLAtYAQEBdb6LsLq6WoZh6JprrtEzzzxj1fAAAABeY1nA%2BvWvf%2B0RsGw2m9q2bev6NHfedQcAAK5ElgWsxx9/3KquAQAAmjQ/b08AAADgSmPZFayJEyde8j42m00rVqywYDYAAACNx7KAlZ%2BfL6fT6frev9atW0uSzpw5I0lq166dx5cjX8xX6wAAADR1lt0ifO211xQcHKyZM2equLhYZWVlKisrU3FxsTIyMtSqVStt27ZNx44dc71qPzwUAADAl1l2BSs9PV39%2B/fXwoUL3do7dOigp556Sg6HQ%2Bnp6XrttdesmgIAAIBXWHYFa8%2BePerTp0%2B92/v06aO3337bquEBAAC8xrKA1aZNG23durXe7fn5%2BQoNDbVqeAAAAK%2BxLGBNnDhRL7/8skaOHKk33nhDX331lb766ivt2LFDI0aM0ObNm/WrX/3KquEBAAC8xrJnsB599FE5nU4tWbJEL730kts2f39//b//9//029/%2B1qrhAQAAvMaygGWz2fTkk09q2rRp2rp1q%2Bsdgp07d1b//v119dVXWzU0AACAV1kWsGq1b99eo0ePtnoYAACAJsPSr8qpqalRTk6OJk%2BerOTkZH344YeSpNOnT%2Bvll1/W119/beXwAAAAXmFZwDp9%2BrT69u2rlJQUPffcc9qwYYMrUAUHB2vSpEn6n//5H6uGBwAA8BqgB0GIAAAZZUlEQVTLAtasWbP03nvvafPmzTp69KgMw3Bta9GihZKSkvTqq69aNTwAAIDXWBawNm7cqClTpmjQoEHy8/McJjo6WkePHrVqeAAAAK%2BxLGB9%2B%2B23uv766%2Bvd/t1336mqqsqq4QEAALzGsoDVtWtXHThwoN7t27ZtU48ePawaHgAAwGssC1hpaWn661//qtzcXFebzWZTVVWV5s2bp1dffVUTJ060angAAACvsexzsKZNm6YPPvhAycnJCgsLkySNHj1aDodD58%2BfV1pamiZMmGDV8AAAAF5j6Se5P/vss/rFL36hnJwcHTlyRDU1NeratatSUlKUkJBg1dAAAABeZUnAqqys1Pbt23XttdcqPj5e8fHxVgwDAADQJFnyDFZgYKCGDx%2BuXbt2WdE9AABAk2ZJwLLZbOrWrZtKS0ut6B4AAKBJs/ST3J955hl9%2BumnVg0BAADQJFn2kPuBAwfUtm1b9ezZU/369VOXLl0UFBTkVmOz2bRkyRKrpgAAAOAVlgWszMxM15%2B3bt1aZw0BCwAAXIksC1h8DQ4AAGiuTH0Ga86cOXr//fclSf7%2B/hf1AgAAuNKYGrAWLlyoDz/80PXzyZMn5e/vr9dff93MYQAAAJo0y95FWMswDKuHAAAAaFIsD1gAAADNDQELAADAZKa/i/Do0aMqLCyUJJWVlUmSjhw5ojZt2tRZ37t3b7OnAAAA4FWmB6xHH31Ujz76qFvbQw895FFnGIZsNpuqq6vNngIAAIBXmRqwnn32WTO7AwAA8EmmBqxf/OIXZnZXp7Nnz%2BoPf/iD9u7dq7179%2Brbb7/Vc889pzFjxnjUHjp0SI888oj%2B%2Bc9/KjAwUEOGDNEf//hHhYeHe9SuWrVKS5Ys0eeff65OnTpp6tSpSk9P96grKytTRkaGXnrpJZ07d05xcXFasmSJbrvtNkuOFwAA%2BB6fe8jd4XBo/vz5OnTokGJiYmSz2eqsKyoqUt%2B%2BffXZZ59p4cKFysjI0ObNm3Xffffpu%2B%2B%2Bc6tdsWKFJkyYoFtuuUVPP/207rzzTk2dOlWLFi1yqzMMQ4MHD9bf//531/ZvvvlG8fHx%2Bte//mXZMQMAAN9i2VflWCUqKkrHjx9X%2B/bttX//ft1%2B%2B%2B111i1YsEBOp1PvvvuurrnmGknS7bffrv79%2B%2Bu5557T%2BPHjJUkVFRWaO3euhg0bpnXr1kmS0tLSVF1drfnz52vixIkKDQ2VJK1fv15vv/22cnNzNXz4cElScnKyoqOjNW/ePK1Zs8bqwwcAAD7A565gBQQEqH379hes27Bhg4YOHeoKV5LUr18/RUdH68UXX3S17dixQ6WlpR4P4k%2BePFnl5eXavHmzqy03N1cdOnRwhStJCg8PV0pKijZt2sT3LwIAAEk%2BGLAuRnFxsb7%2B%2Bmv16dPHY1tcXJwOHDjg%2Brn2z7GxsW51sbGx8vPz86it62Ml4uLidO7cOR0%2BfNisQwAAAD7sigxYJSUlkqTIyEiPbZGRkSotLXVdbSopKZG/v7/Hg%2B8BAQEKCwtTcXGxW7/19SnJrRYAADRfV2TAcjqdkqSWLVt6bLPb7W41TqdTgYGBdfZjt9tddbW19fVpGIZbLQAAaL6uyIAVFBQkSaqsrPTYVlFR4VYTFBSk8%2BfP19lPRUWFq662tr4%2BbTabWy0AAGi%2BfO5dhBej9pZd7a3CHyopKVG7du0UEBDgqq2urpbD4XC7TVhVVaWTJ08qKirKrd/6%2BpTkVluXadOmud6RWCs1NVWpqakXeWQAAKAu2dnZys7Odmur/co%2Bb7giA1ZUVJQiIiJUUFDgsW3v3r2KiYlx/RwTEyPDMFRQUKCBAwe62vft26eamhqP2t27d3v0uWfPHgUHBys6OvpH57V06VK%2BexEAAAvUdcGisLDQ401sjeWKvEUoSSNHjtQrr7yioqIiV9v27dt1%2BPBhpaSkuNoSEhLUrl07LV%2B%2B3G3/5cuXq1WrVhoyZIirLSkpSSdOnNCGDRtcbQ6HQzk5OUpMTHRdFQMAAM2bT17BeuaZZ3Tq1ClXeHr55Zd17NgxSdLUqVPVunVrzZkzRzk5OYqPj9fDDz%2BsM2fOaPHixerVq5fGjh3r6stut2v%2B/PlKT09XSkqKBgwYoJ07d2rt2rV64okn1KZNG1dtUlKSMjMzNW7cOB08eFDh4eHKyspSTU2NHnvsscZcAgAA0IT5ZMBavHixvvzyS0mSzWbTxo0btXHjRknS6NGj1bp1a3Xs2FFvvvmmpk%2BfrtmzZyswMFBDhw7V4sWLPa40TZo0SYGBgVqyZIny8vLUqVMnZWZmasqUKW51fn5%2Bys/PV0ZGhpYtWyan06m4uDitXr1a3bt3b5yDBwAATZ5PBqzPP//8oup69Oih/Pz8i6pNS0tTWlraBetCQ0O1cuVKrVy58qL6BQAAzc8V%2BwwWAACAtxCwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGRXbMB688035efn5/Hy9/fX3r173WoPHTqkgQMHqnXr1goLC9OYMWPkcDjq7HfVqlXq2bOngoKCFB0draeffroxDgcAAPiQFt6egNUeeeQR9enTx62tW7durj8XFRWpb9%2B%2Batu2rRYuXKgzZ85o0aJF%2BvDDD7V37161aPF/S7RixQpNmjRJycnJmjFjhnbt2qWpU6fK6XQqIyOj0Y4JAAA0bVd8wLr77rs1YsSIercvWLBATqdT7777rq655hpJ0u23367%2B/fvrueee0/jx4yVJFRUVmjt3roYNG6Z169ZJktLS0lRdXa358%2Bdr4sSJCg0Ntf6AAABAk3fF3iL8ofLyclVXV9e5bcOGDRo6dKgrXElSv379FB0drRdffNHVtmPHDpWWluqhhx5y23/y5MkqLy/X5s2brZk8AADwOVd8wBo3bpyuuuoq2e12JSQkaP/%2B/a5txcXF%2Bvrrrz1uIUpSXFycDhw44Pq59s%2BxsbFudbGxsfLz83OrBQAAzdsVe4swMDBQSUlJGjx4sMLDw/XRRx9p8eLF%2BulPf6q33npLvXr1UklJiSQpMjLSY//IyEiVlpaqqqpKAQEBKikpkb%2B/v8LDw93qAgICFBYWpuLi4kY5LgAA0PRdsQHrJz/5iX7yk5%2B4fh46dKhGjhypW2%2B9VbNnz9arr74qp9MpSWrZsqXH/na7XZLkdDoVEBAgp9OpwMDAOsey2%2B2uvgAAAK74W4Q/1LVrV/385z/Xjh07ZBiGgoKCJEmVlZUetRUVFZLkqgkKCtL58%2Bfr7LeiosJVBwAAcMVewapPp06ddP78eZ09e9Z1a7D2VuEPlZSUqF27dgoICJD0/S3D6upqORwOt9uEVVVVOnnypKKioi449rRp0zzeaZiamqrU1NSGHBIAAM1edna2srOz3drKysq8NJtmGLD%2B9a9/yW63KyQkRCEhIYqIiFBBQYFH3d69exUTE%2BP6OSYmRoZhqKCgQAMHDnS179u3TzU1NW619Vm6dKl69%2B5tzoEAAACXui5YFBYWerw5rbFcsbcI6/ok9vfee095eXkaMGCAq23kyJF65ZVXVFRU5Grbvn27Dh8%2BrJSUFFdbQkKC2rVrp%2BXLl7v1uXz5crVq1UpDhgyx4CgAAIAvumKvYN1///0KCgrSnXfeqfbt2%2BvgwYP6y1/%2BopCQED355JOuujlz5ignJ0fx8fF6%2BOGHdebMGS1evFi9evXS2LFjXXV2u13z589Xenq6UlJSNGDAAO3cuVNr167VE088oTZt2njhKAEAQFN0xQas4cOH64UXXtDSpUt1%2BvRpRUREKCkpSb/97W91/fXXu%2Bo6duyoN998U9OnT9fs2bMVGBiooUOHavHixa7nr2pNmjRJgYGBWrJkifLy8tSpUydlZmZqypQpjX14AACgCbtiA1Z6errS09MvqrZHjx7Kz8%2B/qNq0tDSlpaU1ZGoAAOAKd8U%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%2BFHnT9/Xi%2B88IK3p1EvPz8/1dTUeHsa9SoqKmL9LtPnn38uSTr16T45Hce8PBtPlaeOS5JeffXVJvv/GH7/Gqapr194eLgiIiK8PY061f6d8MoFEAMXrX///sZNN93k0b59%2B3bDZrMZr7zySp37rVmzxpDEixcvXrx48fLCa82aNVZHBA9cwboEMTExeuONN1ReXu72oPuePXtks9kUExNT534DBgzQmjVr1KVLl3qvcgEAAHM5nU4dPXpUAwYMaPSxbYZhGI0%2Bqo/au3ev7rjjDi1evFjTp0%2BX9P2tq5tvvlkRERH65z//6eUZAgCApoArWJcgLi5OycnJmj17tk6cOKFu3brpueee0xdffKFnn33W29MDAABNBFewLtH58%2Bf16KOPas2aNfr2229166236vHHH9e9997r7akBAIAmgoAFAABgMj4HCwAAwGQErAY4e/as5s2bp0GDBiksLEx%2Bfn5avXr1ZfU1YcIE%2Bfn5KTEx0eRZNl1mrN%2B2bdvUr18/tWnTRldddZX69Omj9evXWzTjpqWh67d//34NHTpUkZGRat26tXr16qVly5Y16c8DMktBQYHS09N18803KyQkRJ07d9b999%2BvI0eOXNT%2BZWVlmjhxotq3b6%2BQkBAlJCTowIEDFs%2B66WjI%2Br3%2B%2ButKS0vTDTfcoFatWqlr166aMGGCjh8/3ggzbxoa%2Bvv3Q83x3GHG%2BjXGuYOH3BvA4XBo/vz56ty5s%2BsjHC5HQUGBnn/%2B%2BWb3EQ4NXb9nn31W48eP13333acnn3xS/v7%2B%2BuSTT3TsWNP7MEgrNGT9CgsLdddddyk6OlqzZs1ScHCw8vPz9fDDD%2Buzzz7T0qVLrZt4E/DUU0/prbfeUnJysm699VYdP35cy5YtU%2B/evfXOO%2B%2BoZ8%2Be9e5rGIYGDx6sDz74QDNnzlRYWJiysrIUHx%2BvwsJCde3atRGPxDsasn6//vWv9e233yo5OVndu3fXZ599pmXLlmnz5s1699131b59%2B0Y8Eu9oyPr9UHM9dzR0/Rrt3NHon7x1BTl//rxx4sQJwzAMo6CgwLDZbMbzzz9/yf3ceeedxvjx440uXboYw4YNM3uaTVZD1u/o0aNGcHCwMW3aNCun2KQ1ZP0mTJhg2O1249SpU27t99xzj9GmTRvT59rUvP3220ZVVZVb25EjRwy73W6MHj36R/ddt26dYbPZjA0bNrjavvnmG6Nt27bGqFGjLJlvU9OQ9du1a5dH286dOw2bzWY8%2Buijps6zqWrI%2Bv1Qcz13NGT9GvPcwS3CBggICGjwv7ZWr16tgwcPasGCBSbNync0ZP2WL1%2Bumpoa/e53v5P0/e2y5qYh63fmzBnZ7XaFhoa6tXfo0KFZ/Gv4jjvuUIsW7hfwu3XrpptuuumCXzeTm5urDh06aPjw4a628PBwpaSkaNOmTaqqqrJkzk1JQ9bv7rvv9mjr27ev2rVr12S/6sdsDVm/Ws353NGQ9WvMcwcBy4vKy8s1a9Ys/eY3v2kWl8XNtH37dt14443avHmzOnXqpNatWyssLEy//e1vZfDG2AuKj4/X6dOnNXHiRB06dEhffvml/vznP%2Bull17SnDlzvD09rzlx4oTCw8N/tObAgQPq3bu3R3tcXJzOnTunw4cPWzW9Ju9i1q8uZ8%2BeVXl5%2BWXteyW52PXj3FG3i1m/xjx3ELC86He/%2B52Cg4Ob/BctN0VHjhzRl19%2BqV/%2B8pcaP368cnNzNXjwYD3%2B%2BOOaO3eut6fX5E2YMEGTJ0/W888/r549e6pLly6aOnWq/vSnPyk9Pd3b0/OKNWvWqKioSA888MCP1pWUlCgyMtKjvbatuLjYkvk1dRe7fnVZunSpqqqqLmvfK8WlrB/nDk8Xu36Neu6w/CZkM3Gpz8B88sknRmBgoLFx40ZXW3O7j/5Dl7p%2B/v7%2Bhp%2Bfn7Fo0SK39kGDBhmtWrUyysvLrZhmk3U5zwBmZmYaiYmJxpo1a4z169cbI0aMMAICAoxNmzZZONOm6eOPPzZCQ0ONu%2B%2B%2B26ipqfnRWn9/f2Py5Mke7a%2B//rphs9lYvwus37978803jYCAACM1NdWi2TV9l7J%2BnDs8Xerf38Y6d3AFy0sefvhh3X333frP//xPb0/FJ9U%2BJ/Tv/1pJTU2V0%2BlsVm%2BZvxwLFy7UH/7wB2VnZ2vUqFFKSkpSbm6u7r77bk2ePLlZfFRDrRMnTmjIkCFq27at1q9fL5vN9qP1QUFBqqys9GivqKiQzWZrFs%2Bw/dClrt8PHTp0SCNGjNCtt96qv/zlLxbOsum61PXj3OHucv7%2BSo1z7iBgecHrr7%2BurVu3aurUqfriiy/0xRdf6OjRo/ruu%2B/kdDr1xRdf6MyZM96eZpMWFRUlSbr66qvd2tu3by/DMPTtt996Y1o%2BY/ny5UpISFBwcLBbe2JiooqLi3X06FHvTKyRnT59WgMHDtTp06e1ZcsWdejQ4YL7REZGqqSkxKO9tq32d7M5uJz1q3Xs2DHdd999atu2rTZv3qxWrVpZONOm6VLXj3OHu8v5/WvMcwcBywuOHTsmm82m4cOH67rrrtN1112n66%2B/XsXFxdq%2Bfbuuv/56vjz6AmJjYyVJRUVFbu1FRUWy2WyKiIjwxrR8xokTJ1RdXe3RXvsOuO%2B%2B%2B66xp9ToKisrNXToUH366afavHmzbrjhhovaLyYmRoWFhR7te/bsUXBwsKKjo82eapN0uesnSaWlpbrvvvv03XffaevWrR4nu%2BbgctaPc8f/udzfv8Y8dxCwGsHx48f1ySefuE5o/fr108aNG/XSSy%2B5vcLDw3X77bfrpZde0rBhw7w866bj39dPku6//34ZhqFVq1a52gzD0LPPPqt27dq5/hKh7vWLjo7Wa6%2B95vavtZqaGq1bt06tW7e%2B4j8ss6amRikpKXrnnXeUk5OjuLi4OuvqWrukpCSdOHFCGzZscLU5HA7l5OQoMTFRAQEBls/f2xqyfufOndOgQYNUUlKiV199Vddff31jTbvJuNz149zxvYb8/jXmuYNPcm%2BgZ555RqdOnXKl4Zdfftn1abBTp05V69atNWvWLK1evVpHjx7Vtddeq44dO6pjx44efT388MO6%2Buqrm8VfkFqXs36S9POf/1z9%2BvXTk08%2BqW%2B%2B%2BUa9evXSxo0b9dZbb2nlypXN4iQnXf76zZo1S6NHj1ZcXJwmTpyooKAgrV27VgcOHNCCBQvk7%2B/vtWNqDNOnT1deXp4SExPlcDj0wgsvuG0fNWqUJNW5dklJScrMzNS4ceN08OBBhYeHKysrSzU1NXrsscca%2B1C8oiHr91//9V/at2%2Bf0tLSdPDgQR08eNC1X0hIiH7%2B85833oF4yeWuH%2BeO7zXk969Rzx2mPS7fTHXp0sXw8/Or8/XFF18YhmEYY8eONfz9/V0/1%2Be6664zEhMTG2PaTUZD1u/s2bPGtGnTjKioKMNutxu9evUysrOzvXEYXtOQ9fvHP/5h/OxnPzPat2/vWr%2B//OUv3jiMRhcfH1/vuvn5%2Bbnq6lu7U6dOGRMmTDAiIiKMkJAQIyEhwSgsLGzsw/Cahqzfj/3OXnfddd44nEbX0N%2B/f9fczh0NXb/GOnfYDINPZQQAADATz2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMn%2BP7gPPjRA9/jLAAAAAElFTkSuQmCC\"/>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common6469317451415776097\">\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2.0</td>\n",
-       "        <td class=\"number\">2525</td>\n",
-       "        <td class=\"number\">8.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">27006</td>\n",
-       "        <td class=\"number\">91.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme6469317451415776097\">\n",
-       "            <p class=\"h4\">Minimum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2.0</td>\n",
-       "        <td class=\"number\">2525</td>\n",
-       "        <td class=\"number\">8.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "            <p class=\"h4\">Maximum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2.0</td>\n",
-       "        <td class=\"number\">2525</td>\n",
-       "        <td class=\"number\">8.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">sampleTime<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>386</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>1.3%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-8994523027340045681\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>00:01:00</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:40%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 26.3%\">\n",
-       "            7773\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>10:30:00</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:6%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 3.7%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1083\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>11:00:00</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:5%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 3.2%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        952\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (383)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 66.8%\">\n",
-       "            19723\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-8994523027340045681, #minifreqtable-8994523027340045681\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-8994523027340045681\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">00:01:00</td>\n",
-       "        <td class=\"number\">7773</td>\n",
-       "        <td class=\"number\">26.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:48%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">10:30:00</td>\n",
-       "        <td class=\"number\">1083</td>\n",
-       "        <td class=\"number\">3.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">11:00:00</td>\n",
-       "        <td class=\"number\">952</td>\n",
-       "        <td class=\"number\">3.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">10:45:00</td>\n",
-       "        <td class=\"number\">832</td>\n",
-       "        <td class=\"number\">2.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">11:15:00</td>\n",
-       "        <td class=\"number\">747</td>\n",
-       "        <td class=\"number\">2.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">10:00:00</td>\n",
-       "        <td class=\"number\">584</td>\n",
-       "        <td class=\"number\">2.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">11:45:00</td>\n",
-       "        <td class=\"number\">457</td>\n",
-       "        <td class=\"number\">1.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">11:30:00</td>\n",
-       "        <td class=\"number\">374</td>\n",
-       "        <td class=\"number\">1.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">10:15:00</td>\n",
-       "        <td class=\"number\">307</td>\n",
-       "        <td class=\"number\">1.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">14:00:00</td>\n",
-       "        <td class=\"number\">292</td>\n",
-       "        <td class=\"number\">1.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (376)</td>\n",
-       "        <td class=\"number\">16130</td>\n",
-       "        <td class=\"number\">54.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">sampleType<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>5</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-7517913834921639466\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>FMO</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 79.2%\">\n",
-       "            23403\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Sample</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:25%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 19.5%\">\n",
-       "            5759\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>QC-FR</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:2%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.9%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        256\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (2)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.4%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        113\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-7517913834921639466, #minifreqtable-7517913834921639466\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7517913834921639466\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">FMO</td>\n",
-       "        <td class=\"number\">23403</td>\n",
-       "        <td class=\"number\">79.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Sample</td>\n",
-       "        <td class=\"number\">5759</td>\n",
-       "        <td class=\"number\">19.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">QC-FR</td>\n",
-       "        <td class=\"number\">256</td>\n",
-       "        <td class=\"number\">0.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">QC-LD</td>\n",
-       "        <td class=\"number\">71</td>\n",
-       "        <td class=\"number\">0.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">QC-F</td>\n",
-       "        <td class=\"number\">42</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">sampleUpperDepth<br/>\n",
-       "            <small>Numeric</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-6\">\n",
-       "    <div class=\"row\">\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "                <tr>\n",
-       "                    <th>Distinct count</th>\n",
-       "                    <td>267</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Unique (%)</th>\n",
-       "                    <td>0.9%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Missing (n)</th>\n",
-       "                    <td>8</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (%)</th>\n",
-       "                    <td>0.0%</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"ignore\">\n",
-       "                    <th>Infinite (n)</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "\n",
-       "        </div>\n",
-       "        <div class=\"col-sm-6\">\n",
-       "            <table class=\"stats \">\n",
-       "\n",
-       "                <tr>\n",
-       "                    <th>Mean</th>\n",
-       "                    <td>6.7</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Minimum</th>\n",
-       "                    <td>0</td>\n",
-       "                </tr>\n",
-       "                <tr>\n",
-       "                    <th>Maximum</th>\n",
-       "                    <td>18</td>\n",
-       "                </tr>\n",
-       "                <tr class=\"alert\">\n",
-       "                    <th>Zeros (%)</th>\n",
-       "                    <td>15.9%</td>\n",
-       "                </tr>\n",
-       "            </table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "<div class=\"col-md-3 collapse in\" id=\"minihistogram8362409319507859673\">\n",
-       "    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAABQBJREFUeJzt3c9LG2kcBvAnVdakKCklugZMjLb%2BQhAUShbKqngRL4sePK0Fe9uel/0DeullRRAUqRdB5%2BAhu8heVFov20MPEW9LVjEYxqprHKWH1iRt9O3JoNB9nbHOOzPyfGBAk5nMV/g%2BmZd530EIB2iaJgBw42Zp0zRNea%2BWwwGxWAwAoGka2tranCiBPCSVSmFkZKTUNyo5EpBAIAAAaGpqQkdHh6ljfD4fysrK7CyLXO68b1RyJCDn4vG46X2D9%2B5hLZnEw4cPbayI6DJHAxL%2B8WdUBL%2B/cr9i/iPevX6JjY0NBoSUcjQg95p%2BwN3aqxv%2B84djvHv9UkFFRJfdcboAIjdjQIgkGBAiCQaESIIBIZJgQIgkGBAiCQaESIIBIZJgQIgkGBAiCQaESIIBIZJgQIgkGBAiCQaESMLRB6bIPrquwzAMS8eEQiFEo1GbKvKmWx0QtzaJ3XXpuo6W1jbkcyeWzuEP3MXGvymG5IJbGxC3NomKugzDQD53gthPvyEQMvd35Awdmb9%2Bh2EYDMgFngpINpvF%2Bvq6qX1TqZQrm0Rl8wZCUVPP/NP/81RAfnn2DJ8KBUvHXKdJUqmU6X2vOyRj83qDpwLyqVAw/c37fiuJ/b/nLH3%2B5w/HgM%2BHkZER08dw3H67eSoggPlv3pyxY/mzi/mPgBCmQ6h63G72ymblCkhynguICm4b/lznykY3gwHxAKtXtusML%2BnrGBAPsXN4SV/HpSZEEgwIkQQDQiTBgBBJMCBEEryLdQOsTMxxEs9bGJBvcBsn8FSsQ/MSBuQbWJ3AA9w7icd1aF/HgNwAK0tT3DqJ5/Z1aE5hQOgSt61DcxrvYhFJMCBEEgwIkQQDQiTBgBBJ8C4WfROrKwO8NrnoSEByuRwAYHPuV/juXH0RE0KUfn6/lTQ1l/Bh5x9L%2B1/nGBXncGtdJ/9tAYDlVQTfVfjx5x8JhMNh08ech/C8b5QSDtA0TQDgxs3Spmma8l71CXHh61kRwzCwsrKCWCyGQCCg%2BvTkMblcDplMBv39/QiFQkrP7UhAiLyCd7GIJBgQIgnlAdna2sLjx4/R0tKCeDzOB4jokkKhgKGhIbS2tqKzsxP9/f1Ip9MAgMPDQwwMDKC5uRkdHR148%2BaN/QWpvivQ19cn5ubmhBBCJBIJ8ejRI9UlkIvl83mxtLRU%2Bn1yclL09vYKIYR4%2BvSpeP78uRBCiGQyKerq6kSxWLS1HqUByWazIhgMitPT09JrtbW1Ip1OqyyDPGRtbU00NDQIIYSorKwUBwcHpffi8bhYXV219fxKh1g7OzsIh8O4c2FyMBqNQtd1lWWQh0xMTGBwcBDHx8coFouoqakpvVdfX29773CpCbnWixcvkE6nMTMzg5MTa/%2BR66YovYJEIhHs7%2B/j7Oys9Jqu655am0NqjI2NYXFxEcvLy/D7/bh//z7Ky8uRzWZL%2B2QyGdt7R2lAqqur0dXVhfn5eQBAIpFAJBJBY2OjyjLI5cbHx7GwsIBXr16hqqqq9Prw8DCmp6cBAMlkEnt7e%2Bjp6bG1FuUz6ZubmxgdHcXR0RGCwSBmZ2fR3t6usgRysd3dXUQiETx48ABVVVUQQsDv9%2BPt27fIZrN48uQJtre3UVFRgampKXR3d9taD5eaEElwJp1IggEhkmBAiCQYECIJBoRIggEhkmBAiCQYECIJBoRIggEhkmBAiCQYECKJL4O70yq0b48YAAAAAElFTkSuQmCC\">\n",
-       "\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives8362409319507859673,#minihistogram8362409319507859673\"\n",
-       "       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"row collapse col-md-12\" id=\"descriptives8362409319507859673\">\n",
-       "    <ul class=\"nav nav-tabs\" role=\"tablist\">\n",
-       "        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles8362409319507859673\"\n",
-       "                                                  aria-controls=\"quantiles8362409319507859673\" role=\"tab\"\n",
-       "                                                  data-toggle=\"tab\">Statistics</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#histogram8362409319507859673\" aria-controls=\"histogram8362409319507859673\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#common8362409319507859673\" aria-controls=\"common8362409319507859673\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n",
-       "        <li role=\"presentation\"><a href=\"#extreme8362409319507859673\" aria-controls=\"extreme8362409319507859673\"\n",
-       "                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n",
-       "\n",
-       "    </ul>\n",
-       "\n",
-       "    <div class=\"tab-content\">\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles8362409319507859673\">\n",
-       "            <div class=\"col-md-4 col-md-offset-1\">\n",
-       "                <p class=\"h4\">Quantile statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Minimum</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>5-th percentile</th>\n",
-       "                        <td>0</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q1</th>\n",
-       "                        <td>2</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Median</th>\n",
-       "                        <td>6.05</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Q3</th>\n",
-       "                        <td>11</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>95-th percentile</th>\n",
-       "                        <td>14.1</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Maximum</th>\n",
-       "                        <td>18</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Range</th>\n",
-       "                        <td>18</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Interquartile range</th>\n",
-       "                        <td>9</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "            <div class=\"col-md-4 col-md-offset-2\">\n",
-       "                <p class=\"h4\">Descriptive statistics</p>\n",
-       "                <table class=\"stats indent\">\n",
-       "                    <tr>\n",
-       "                        <th>Standard deviation</th>\n",
-       "                        <td>4.9647</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Coef of variation</th>\n",
-       "                        <td>0.741</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Kurtosis</th>\n",
-       "                        <td>-1.265</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Mean</th>\n",
-       "                        <td>6.7</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>MAD</th>\n",
-       "                        <td>4.34</td>\n",
-       "                    </tr>\n",
-       "                    <tr class=\"\">\n",
-       "                        <th>Skewness</th>\n",
-       "                        <td>0.13993</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Sum</th>\n",
-       "                        <td>197810</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Variance</th>\n",
-       "                        <td>24.648</td>\n",
-       "                    </tr>\n",
-       "                    <tr>\n",
-       "                        <th>Memory size</th>\n",
-       "                        <td>230.8 KiB</td>\n",
-       "                    </tr>\n",
-       "                </table>\n",
-       "            </div>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram8362409319507859673\">\n",
-       "            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAIABJREFUeJzt3X1clHW%2B//H3gOAMYiogCd51UmdXu5HU2G7WloOZqMgeEyi2Mo2yg6GW/rDVrfSs2doRi1bTtOPJdU1LgbbQrC3XvNk0JLXScrHayoC0kULIARGu3x89uE6zA3nTNQ6jr%2BfjMY8HfK/PfK/PNePUm%2BtubIZhGAIAAIBlgvzdAAAAwPmGgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQIqYI0fP15BQUHNPoKDg1VRUWHWHjhwQElJSWrfvr0iIyM1duxYuVyuZuddvny5%2BvXrJ4fDIafTqUWLFjVbV1VVpQkTJig6Olrh4eFKTEzUnj17fLKtAAAgcNkMwzD83cTpeuedd/TJJ594jBmGoXvvvVeXXnqp3n//fUlSWVmZ4uLi1KlTJ02ZMkXV1dWaP3%2B%2BevbsqeLiYrVp08Z8/tKlS5WVlaW0tDTddNNN2rZtm1auXKnHH39cOTk5Huv55S9/qQ8%2B%2BEDTp09XZGSkFi9erC%2B%2B%2BEK7d%2B9Wr169zs2LAAAAWj8jwG3fvt2w2WzGvHnzzLGsrCyjXbt2xpdffmmOvfnmm4bNZjOeffZZc8ztdhtRUVFGSkqKx5y333670b59e%2BPbb781x1588UXDZrMZhYWF5tjXX39tdOrUybjtttt8sWkAACBABdQhwuY8//zzCgoKUkZGhjlWWFio5ORkde3a1RwbMmSInE6n1q5da45t3rxZlZWVmjhxosec9913n2pqarRhwwZzrKCgQF26dNHo0aPNsaioKKWnp%2Bvll19WfX29LzYPAAAEoIAOWCdPntS6det0/fXXq0ePHpKk8vJyHTlyRIMGDfKqj4%2BP9zhnqunngQMHetQNHDhQQUFBXrUDBgxods7jx4%2BrtLTUkm0CAACBL6AD1muvvaajR4/qtttuM8eaTnSPiYnxqo%2BJiVFlZaW5t6miokLBwcGKioryqAsJCVFkZKTKy8s95m1pTkketQAA4MIW0AFr9erVCg0NVVpamjnmdrslSW3btvWqt9vtHjVut1uhoaHNzm232826ptqW5jQMw6MWAABc2NqcuqR1%2Bu677/TKK68oKSlJnTp1MscdDockqa6uzus5tbW1HjUOh0MnTpxodv7a2lqzrqm2pTltNptH7b9yuVx6/fXXdckll/xoHQAAsI7b7dZnn32mYcOGeR2t8rWADVgvvfSS3G63x%2BFB6f8O2f3wnlhNKioqFBERoZCQELO2oaFBLpfL44Wvr6/X0aNHFRsb6zFvS3NK8qj9V6%2B//rpuv/32M9g6AABglVWrVnnlBV8L2ID1/PPPKzw8XKNGjfIYj42NVefOnVVSUuL1nOLiYsXFxZm/x8XFyTAMlZSUKCkpyRzftWuXGhsbvWq3b9/uNefOnTsVFhYmp9PZYq%2BXXHKJpO/f4L59%2B572NiJwPPDAA3ryySf93QZ8hPf3/Mb7e/766KOPdPvtt5v/Hz6XAjJguVwubdq0Sbfddpt5XtUPjRkzRitXrlRZWZl5q4ZNmzaptLRU06ZNM%2BsSExMVERGhJUuWeASsJUuWqF27dho5cqQ5lpqaqoKCAhUWFurmm282%2B8jPz1dKSoq5V6w5TYcF%2B/bt2%2ByViAh8HTp04L09j/H%2Bnt94f89//jg9JyAD1gsvvKCGhoYWd/fNnDlT%2Bfn5SkhIMO/knpubq/79%2B2vcuHFmnd1u15w5c5Sdna309HQNGzZMW7du1erVq/XYY4%2BpY8eOZm1qaqry8vI0fvx47d%2B/X1FRUVq8eLEaGxs1e/ZsH28xAAAIJAEZsFavXq2LL75YQ4YMaXZ5t27dtGXLFk2dOlUzZsxQaGiokpOTlZub67WnKSsrS6GhoVqwYIGKiorUvXt35eXladKkSR51QUFB2rhxo3JycrRw4UK53W7Fx8dr5cqV6tOnj8%2B2FQAABJ6ADFhvv/32KWv69u2rjRs3ntZ8mZmZyszMPGVdhw4dtGzZMi1btuy05gUAABemgL4PFtBa/PCrmnD%2B4f09v/H%2BwhcIWIAF%2BA/0%2BY339/zG%2BwtfIGABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxdr4u4ELyYIFCxQdHe3vNk5pxIgRGjp0qL/bAAAgYBGwzqG/vLZZwSFt/d3Gj6qr%2BUYvrF2nirIv/d0KAAABi4B1DvX8j5kK69Lb3238qPJtz6uhdJO/2wAAIKBxDhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGCxgAxYu3fvVkpKiiIjI9WuXTtdccUVWrRokUfNgQMHlJSUpPbt2ysyMlJjx46Vy%2BVqdr7ly5erX79%2BcjgccjqdXnM1qaqq0oQJExQdHa3w8HAlJiZqz549lm8fAAAIbG383cCZ%2Butf/6qUlBQNGDBAjzzyiMLDw/XJJ5/oyy%2B/NGvKyso0ePBgderUSfPmzVN1dbXmz5%2Bvffv2qbi4WG3a/N9mL126VFlZWUpLS9O0adO0bds2TZ48WW63Wzk5OWadYRgaMWKEPvjgA02fPl2RkZFavHixEhIStHv3bvXq1eucvg4AAKD1CqiAVV1drTvvvFOjRo3SunXrWqybO3eu3G639u7dq65du0qSrr76ag0dOlQrVqzQ3XffLUmqra3VQw89pFGjRunFF1%2BUJGVmZqqhoUFz5szRhAkT1KFDB0nSunXrtGPHDhUUFGj06NGSpLS0NDmdTs2aNUurVq3y5aYDAIAAElCHCJ9//nkdOXJEc%2BfOlSQdP35chmF41RUWFio5OdkMV5I0ZMgQOZ1OrV271hzbvHmzKisrNXHiRI/n33fffaqpqdGGDRvMsYKCAnXp0sUMV5IUFRWl9PR0vfzyy6qvr7dsOwEAQGALqIC1adMmXXTRRTp06JB%2B/vOfKzw8XBdddJEmTpyouro6SVJ5ebmOHDmiQYMGeT0/Pj7e45yppp8HDhzoUTdw4EAFBQV51Q4YMKDZOY8fP67S0lJLthEAAAS%2BgApYBw8eVH19vX79619r%2BPDhKiwsVGZmpp555hndddddkqSKigpJUkxMjNfzY2JiVFlZae5tqqioUHBwsKKiojzqQkJCFBkZqfLycnOsoqKixTkledQCAIALW0Cdg1VTUyO3262srCw9%2BeSTkqT/%2BI//UF1dnZYtW6bf//73crvdkqS2bdt6Pd9ut0uS3G63QkJC5Ha7FRoa2uy67Ha7OVfTc1qa0zAMj1oAAHBhC6g9WA6HQ5J06623eoz/5je/kWEY2rFjh1nTdMjwh2praz3mcTgcOnHiRLPrqq2tNeuaalua02azedQCAIALW0DtwYqNjdWHH36oiy%2B%2B2GM8OjpakvTNN9%2BYh%2ByaDhX%2BUEVFhSIiIhQSEiLp%2B8N7DQ0NcrlcHocJ6%2BvrdfToUcXGxppjMTExLc7Z1NupHHpjqYLt7TzGIvolKOKyhFM%2BFwAAtGzNmjVas2aNx1hVVZWfugmwgDVw4EC9%2BeabKisrU58%2BfczxpvOfoqOjFRsbq86dO6ukpMTr%2BcXFxYqLizN/j4uLk2EYKikpUVJSkjm%2Ba9cuNTY2etVu377da86dO3cqLCxMTqfzlP13H3qvwrr0Pr2NBQAApy0jI0MZGRkeY7t37/a6kO1cCahDhOnp6TIMQ8uXL/cYf/bZZxUSEqJf/epXkqQxY8Zo/fr1KisrM2s2bdqk0tJSpaenm2OJiYmKiIjQkiVLPOZbsmSJ2rVrp5EjR5pjqampOnz4sAoLC80xl8ul/Px8paSkmHvFAAAAAmoPVlxcnO666y4999xzqq%2Bv169%2B9Stt3rxZBQUFmjlzprp06SJJmjlzpvLz85WQkKApU6aourpaubm56t%2B/v8aNG2fOZ7fbNWfOHGVnZys9PV3Dhg3T1q1btXr1aj322GPq2LGjWZuamqq8vDyNHz9e%2B/fvV1RUlBYvXqzGxkbNnj37HL8SAACgNQuogCV9/9U2PXv21HPPPae//OUv6tmzp/Ly8jRp0iSzplu3btqyZYumTp2qGTNmKDQ0VMnJycrNzfXa05SVlaXQ0FAtWLBARUVF6t69u9d8khQUFKSNGzcqJydHCxculNvtVnx8vFauXOlxuBIAAMBmNHcrdFiq6Rhw37sWtvpzsMq3Pa%2BG0k06/BX39QIABLam//%2B%2B%2B%2B67zd4s3JcC6hwsAACAQEDAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiARWwtmzZoqCgIK9HcHCwiouLPWoPHDigpKQktW/fXpGRkRo7dqxcLlez8y5fvlz9%2BvWTw%2BGQ0%2BnUokWLmq2rqqrShAkTFB0drfDwcCUmJmrPnj2WbycAAAhsbfzdwNm4//77NWjQII%2Bx3r17mz%2BXlZVp8ODB6tSpk%2BbNm6fq6mrNnz9f%2B/btU3Fxsdq0%2Bb/NXrp0qbKyspSWlqZp06Zp27Ztmjx5stxut3Jycsw6wzA0YsQIffDBB5o%2BfboiIyO1ePFiJSQkaPfu3erVq5fvNxwAAASEgAxYv/zlL3XzzTe3uHzu3Llyu93au3evunbtKkm6%2BuqrNXToUK1YsUJ33323JKm2tlYPPfSQRo0apRdffFGSlJmZqYaGBs2ZM0cTJkxQhw4dJEnr1q3Tjh07VFBQoNGjR0uS0tLS5HQ6NWvWLK1atcqXmwwAAAJIQB0i/KGamho1NDQ0u6ywsFDJyclmuJKkIUOGyOl0au3atebY5s2bVVlZqYkTJ3o8/7777lNNTY02bNhgjhUUFKhLly5muJKkqKgopaen6%2BWXX1Z9fb1VmwYAAAJcQAas8ePH66KLLpLdbldiYqLeffddc1l5ebmOHDnidQhRkuLj4z3OmWr6eeDAgR51AwcOVFBQkFftgAEDmp3z%2BPHjKi0t/cnbBQAAzg8BFbBCQ0OVmpqqp556Sq%2B88ormzp2rffv26YYbbtB7770nSaqoqJAkxcTEeD0/JiZGlZWV5t6miooKBQcHKyoqyqMuJCREkZGRKi8vN8cqKipanFOSRy0AALiwBdQ5WNdee62uvfZa8/fk5GSNGTNGV155pWbMmKFXX31VbrdbktS2bVuv59vtdkmS2%2B1WSEiI3G63QkNDm12X3W4352p6TktzGobhUQsAAC5sAbUHqzm9evXSr3/9a23evFmGYcjhcEiS6urqvGpra2slyaxxOBw6ceJEs/PW1taadU21Lc1ps9k8agEAwIUtoPZgtaR79%2B46ceKEvvvuO/OQXdOhwh%2BqqKhQRESEQkJCJH1/eK%2BhoUEul8vjMGF9fb2OHj2q2NhYcywmJqbFOSV51Lbk0BtLFWxv5zEW0S9BEZclnHojAQBAi9asWaM1a9Z4jFVVVfmpm/MkYH3yySey2%2B0KDw9XeHi4OnfurJKSEq%2B64uJixcXFmb/HxcXJMAyVlJQoKSnJHN%2B1a5caGxu9ardv3%2B41586dOxUWFian03nKPrsPvVdhXXqfsg4AAJyZjIwMZWRkeIzt3r3b60K2cyWgDhE2dyf29957T0VFRRo2bJg5NmbMGK1fv15lZWXm2KZNm1RaWqr09HRzLDExUREREVqyZInHnEuWLFG7du00cuRIcyw1NVWHDx9WYWGhRz/5%2BflKSUkx94oBAAAE1B6sW265RQ6HQ9ddd52io6O1f/9%2BPfvsswoPD9cf/vAHs27mzJnKz89XQkKCpkyZourqauXm5qp///4aN26cWWe32zVnzhxlZ2crPT1dw4YN09atW7V69Wo99thj6tixo1mbmpqqvLw8jR8/Xvv371dUVJQWL16sxsZGzZ49%2Bxy%2BCgAAoLULqIA1evRoPf/883ryySd17Ngxde7cWampqXrkkUd06aWXmnXdunXTli1bNHXqVM2YMUOhoaFKTk5Wbm6u156mrKwshYaGasGCBSoqKlL37t2Vl5enSZMmedQFBQVp48aNysnJ0cKFC%2BV2uxUfH6%2BVK1eqT58%2B52T7AQBAYLAZhmH4u4nzXdMx4L53LWz152CVb3teDaWbdPgr7usFAAhsTf//fffdd5u9WbgvBdQ5WAAAAIGAgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMV8FrBGjRqltWvXqq6uzlerAAAAaJV8FrA%2B/PBD3Xrrrbr44ouVmZmpt956y1erAgAAaFV8FrA%2B%2BeQT/f3vf9dtt92moqIiDRkyRD169NCMGTO0b98%2BX60WAADA73x6Dta1116rp59%2BWhUVFXrllVd0/fXXa%2BHCherfv7/i4uL0xBNPqKKiwpctAAAAnHPn5CT34OBgjRw5UmvWrNGXX36p1NRUvf/%2B%2B8rJyVGPHj2UlJSk119//Vy0AgAA4HPn7CrCnTt3Kjs7W06nU%2BvWrVPfvn01d%2B5czZs3T4cOHdKIESP0X//1X%2BeqHQAAAJ9p48vJS0tLtWrVKq1evVr//Oc/FRUVpYyMDN1xxx0aNGiQWTdt2jRlZmZq4cKFmjVrli9bAgAA8DmfBaxBgwZpz549Cg0NVXJysp588kkNHz5cbdo0v8obb7xRzz33nK/aAQAAOGd8FrDsdrsWL16sW265RR07djxlfUpKig4ePOirdgAAAM4Zn52DtX37dt17772nFa4kqV27durVq9cZr2fu3LkKCgrSlVde6bXswIEDSkpKUvv27RUZGamxY8fK5XI1O8/y5cvVr18/ORwOOZ1OLVq0qNm6qqoqTZgwQdHR0QoPD1diYqL27Nlzxn0DAIDzl88C1t69e7V06dIWly9btkzvv//%2BT1pHWVmZ/vCHPyg8PLzZZYMHD9ann36qefPmKScnRxs2bNBNN92kkydPetQuXbpU99xzj6644gotWrRI1113nSZPnqz58%2Bd71BmGoREjRuiFF14wl3/99ddKSEjQJ5988pO2BQAAnD98dohw5syZCg0N1b333tvs8tdff11FRUUqKio663VMmzZN1157rU6ePKmjR496LJs7d67cbrf27t2rrl27SpKuvvpqDR06VCtWrNDdd98tSaqtrdVDDz2kUaNG6cUXX5QkZWZmqqGhQXPmzNGECRPUoUMHSdK6deu0Y8cOFRQUaPTo0ZKktLQ0OZ1OzZo1S6tWrTrrbQEAAOcPn%2B3BKikp0Q033NDi8sGDB2vXrl1nPf/WrVtVWFiovLy8ZpcXFhYqOTnZDFeSNGTIEDmdTq1du9Yc27x5syorKzVx4kSP5993332qqanRhg0bzLGCggJ16dLFDFeSFBUVpfT0dL388suqr68/6%2B0BAADnD58FrOrqaoWGhra4PDg4WFVVVWc1d2NjoyZPnqx77rlHl112mdfy8vJyHTlyxONWEE3i4%2BM9zplq%2BnngwIEedQMHDlRQUJBX7YABA5qd8/jx4yotLT2r7QEAAOcXnwWsPn366I033mhx%2BV//%2Blf927/921nNvWTJEn3xxReaM2dOs8ubvn4nJibGa1lMTIwqKyvNvU0VFRUKDg5WVFSUR11ISIgiIyNVXl7uMW9Lc0ryqAUAABcunwWs8ePHq6ioSNOnT1d1dbU5fuzYMeXk5OjVV1/VXXfddcbzVlZWatasWXrkkUcUERHRbI3b7ZYktW3b1muZ3W73qHG73S3uabPb7WZdU21LcxqG4VELAAAuXD47yf3%2B%2B%2B/X7t27lZubq7y8PHXr1k2S9OWXX%2BrkyZPKyMjQtGnTznje3/3ud4qMjFR2dnaLNQ6HQ5JUV1fntay2ttajxuFw6MSJE83OU1tba9Y11bY0p81m86gFAAAXLp8FLJvNpj//%2Bc8aO3asCgoK9Omnn0qShg0bpjFjxujGG2884zk//vhjPfvss3rqqadUVlYm6ftbJ9TW1qq%2Bvl6ff/65LrroIvOQXdOhwh%2BqqKhQRESEQkJCJH1/eK%2BhoUEul8vjMGF9fb2OHj2q2NhYcywmJqbFOSV51Dbn0BtLFWxv5zEW0S9BEZclnMbWAwCAlqxZs0Zr1qzxGDvbc72t4NPvIpSkoUOHaujQoZbMVVZWJsMwNHnyZE2aNMlr%2BaWXXqopU6boiSeeUOfOnVVSUuJVU1xcrLi4OPP3uLg4GYahkpISJSUlmeO7du1SY2OjV%2B327du95ty5c6fCwsLkdDp/tP/uQ%2B9VWJfep7WtAADg9GVkZCgjI8NjbPfu3V4XsZ0rPg9YVrr88sv10ksveY3/7ne/U01Njf74xz/q0ksvlSSNGTNGK1euVFlZmXmrhk2bNqm0tNTj0GRiYqIiIiK0ZMkSj4C1ZMkStWvXTiNHjjTHUlNTVVBQoMLCQt18882SJJfLpfz8fKWkpJh7xQAAwIXNpwFr%2BfLlWr58uT799FN98803MgzDY7nNZmv2nKaWREZGKiUlxWv8ySeflM1m06hRo8yxmTNnKj8/XwkJCZoyZYqqq6uVm5ur/v37a9y4cWad3W7XnDlzlJ2drfT0dA0bNkxbt27V6tWr9dhjj3l81U9qaqry8vI0fvx47d%2B/X1FRUVq8eLEaGxs1e/bs039hAADAec1nAeu3v/2t5s%2BfryuuuEKpqanq1KmTr1Yl6fuw9kPdunXTli1bNHXqVM2YMUOhoaFKTk5Wbm6u156mrKwshYaGasGCBSoqKlL37t2Vl5fndRgyKChIGzduVE5OjhYuXCi32634%2BHitXLlSffr08en2AQCAwGEz/nW3kkWio6N1ww03KD8/3xfTB5SmY8B971rY6s/BKt/2vBpKN%2BnwV9zTCwAQ2Jr%2B//vuu%2B82e6NwX/LZfbDcbrduuukmX00PAADQavksYP37v/%2B73n33XV9NDwAA0Gr5LGAtXrxY27Zt03//93/r22%2B/9dVqAAAAWh2fBawrrrhChw4d0owZMxQZGakOHTooIiLC4xEZGemr1QMAAPiNz64iHDlypNeVfQAAABcCnwWsVatW%2BWpqAACAVs1nhwgBAAAuVD4NWF9%2B%2BaWys7N12WWXqXPnztq2bZuk779eZurUqdq7d68vVw8AAOAXPjtEeODAAQ0ePFj19fW6%2BuqrdeDAAdXX10uSoqKitHnzZh07dkz/8z//46sWAAAA/MJnAWv69OkKDw/Xzp07FRwcrOjoaI/lI0eO1Lp163y1egDAT/TFF1/I5XL5u43TFhUVpR49evi7DUCSDwPWli1b9NBDD%2Bniiy/W0aNHvZb37NlTZWVlvlo9AOAn%2BOKLL/Szn/dVrfu4v1s5bXZHmP5x4CNCFloFnwWshoYGtWvXrsXlLpfL60uXgTPFX9iQAuvfQaD8G3C5XKp1H9clKTlyRLX%2Bft2uL/TZK/PlcrkC4vXF%2Bc9nAeuqq67Sa6%2B9pokTJ3ota2ho0AsvvKBf/OIXvlo9LgD8hQ0p8P4dBNq/AUdUj1b/JfVAa%2BSzgPXb3/5WKSkpmjRpkm699VZJ3/9F9NZbb2nu3Ln68MMP9dRTT/lq9bgA8Bc2pMD6d8C/AeDC4dM7uS9fvlz333%2B/Fi9eLEnKyMiQJIWHh%2Bt///d/lZCQ4KvV4wLCX9iQ%2BHcAoHXxWcCSpHHjxmnMmDF67bXX9PHHH6uxsVG9evXS8OHD1aFDB1%2BuGgAAwG98GrAkqX379kpLS/P1agAAAFoNnwWs8vLy06qLjY31VQsAAAB%2B4bOA1a1bN9lstlPWNTQ0%2BKoFAAAAv/BZwFq2bJlXwGpoaNBnn32mP//5z4qJidG9997rq9UDAAD4jc8C1t13393ispkzZyo%2BPl61tbW%2BWj0AAIDfBPljpeHh4brrrru0YMECf6weAADAp/wSsJpUVFT4c/UAAAA%2B4fPbNPyr48ePa%2BvWrcrNzVVcXNy5Xj0AAIDP%2BSxghYSENHsVYUNDgwzDUNeuXfX000/7avUAAAB%2B47OA9eCDD3oFLJvNpk6dOpl3cw8JCfHV6gEAAPzGZwHr0Ucf9dXU8LGGhgbt3r3b322c0kcffeTvFgAAaNY5PwcLrVtD7XeqrHRp4MCB/m4FAICA5bOANWHChDN%2Bjs1m09KlS33QDU5X48laGY2NuiQlR46oHv5u50d9%2B/EuVWxd6e82AADw4rOAtXHjRrndblVWVkr6/kufJam6ulqSFBERIYfD4fGc0/lqHZwbjqgeCuvS299t/Ci365C/WwAAoFk%2Buw/WG2%2B8obCwME2fPl3l5eWqqqpSVVWVysvLlZOTo3bt2unNN9/UoUOHzMcXX3zhq3YAAADOGZ/twcrOztbQoUM1b948j/EuXbro8ccfl8vlUnZ2tt544w1ftQC0SoFycn5UVJR69Gjdh4kBoLXyWcDauXOnxowZ0%2BLyQYMG6cUXXzyjOT/88EPNnj1b7777rr7Y6LEAAAAfAElEQVT66iuFhYWpX79%2BysnJUXJyskftgQMHdP/99%2Bvvf/%2B7QkNDNXLkSD3xxBOKiorymnf58uVasGCB/vnPf6p79%2B6aPHmysrOzveqqqqqUk5Ojv/zlLzp%2B/Lji4%2BO1YMECXXXVVWe0Hbgw1ddUSjabbr/9dn%2B3clrsjjD948BHhCwAOAs%2BC1gdO3bU66%2B/rqysrGaXb9y4UR06dDijOT///HPV1NRo3Lhxio2N1fHjx1VQUKCUlBQtW7bM/ILpsrIyDR48WJ06ddK8efNUXV2t%2BfPna9%2B%2BfSouLlabNv%2B32UuXLlVWVpbS0tI0bdo0bdu2TZMnT5bb7VZOTo5ZZxiGRowYoQ8%2B%2BEDTp09XZGSkFi9erISEBO3evVu9evU6i1cJF5KTtd9JhhEQFxC4XV/os1fmy%2BVyEbAA4Cz49CrC2bNna8yYMZo0aZJ69/7%2BhOmDBw9q4cKF2rBhg2bNmnVGcw4fPlzDhw/3GMvOztaAAQP0xBNPmAFr7ty5crvd2rt3r7p27SpJuvrqqzV06FCtWLHCrKutrdVDDz2kUaNGmXvTMjMz1dDQoDlz5mjChAlmCFy3bp127NihgoICjR49WpKUlpYmp9OpWbNmadWqVWf5SuFCEwgXEAAAfhqfneT%2B8MMP68EHH1RRUZGGDBminj17qmfPnrrxxhu1fv16/b//9//0yCOP/OT12Gw2de/eXd9%2B%2B605VlhYqOTkZDNcSdKQIUPkdDq1du1ac2zz5s2qrKzUxIkTPea87777VFNTow0bNphjBQUF6tKlixmupO/PUUlPT9fLL7%2Bs%2Bvr6n7wtAADg/OCzPVg2m01/%2BMMf9MADD%2Bj11183rxDs2bOnhg4dqosvvvis5z5%2B/Ljcbreqqqr08ssva%2BPGjcrIyJAklZeX68iRIxo0aJDX8%2BLj47Vx40bz9z179kiS1001Bw4cqKCgIO3Zs0e/%2Bc1vzNoBAwY0O%2Bezzz6r0tJSXXbZZWe9TQAA4Pzh8zu5R0dH64477rB0zmnTppk3JA0KCtKYMWO0cOFCSVJFRYUkKSYmxut5MTExqqysVH19vUJCQlRRUaHg4GCvE99DQkIUGRmp8vJyc6yiokK/%2BtWvmp1T%2Bj7YEbAAAIDkw0OEktTY2Kj8/Hzdd999SktL0759%2ByRJx44d0yuvvKIjR46c1bwPPPCA3nzzTa1cuVIjRoxQQ0OD6urqJElut1uS1LZtW6/n2e12jxq3263Q0NBm12G32826ptqW5jQMw6MWAABc2HwWsI4dO6bBgwcrPT1dK1asUGFhoRmowsLClJWVpaeeeuqs5nY6nUpMTNTtt9%2BuV155RdXV1UpJSZEk8%2B7wTYHrh2praz1qHA6HTpw40ew6amtrPe4073A4WpzTZrN53ZUeAABcuHx2iPC3v/2t3nvvPW3YsEGDBg3yOOeqTZs2Sk1N1auvvqq5c%2Bf%2B5HWlpqbqP//zP3Xw4EHzkF3TocIfqqioUEREhEJCQiR9f3ivoaFBLpfL4zBhfX29jh49qtjYWHMsJiamxTkledS25NAbSxVsb%2BcxFtEvQRGXJZx6IwEAQIvWrFmjNWvWeIxVVVX5qRsfBqyXXnpJkyZN0vDhw3X06FGv5U6nUytXWvNFvU2H56qqqtSnTx917txZJSUlXnXFxcWKi4szf4%2BLi5NhGCopKVFSUpI5vmvXLjU2NnrVbt%2B%2B3WvOnTt3KiwsTE6n85R9dh96L5fnAwDgAxkZGeYFb012797tdSHbueKzQ4TffPONLr300haXnzx58oxvbfD11183O8%2Bf/vQnORwO9evXT5I0ZswYrV%2B/XmVlZWbdpk2bVFpaqvT0dHMsMTFRERERWrJkicecS5YsUbt27TRy5EhzLDU1VYcPH1ZhYaE55nK5lJ%2Bfr5SUFHOvGAAAgM/2YPXq1cu8DUJz3nzzTfXt2/eM5rz33nt17Ngx3XDDDeratau%2B%2BuorPf/88/rHP/6hJ554QmFhYZKkmTNnKj8/XwkJCZoyZYqqq6uVm5ur/v37a9y4ceZ8drtdc%2BbMUXZ2ttLT0zVs2DBt3bpVq1ev1mOPPaaOHTuatampqcrLy9P48eO1f/9%2BRUVFafHixWpsbNTs2bPPaDsAAMD5zWcBKzMzUzNnztSQIUOUkJAg6ft7Y9XX1%2BvRRx/Vq6%2B%2BqmeeeeaM5rz11lu1fPlyPfPMMzp69Kjat2%2BvgQMHav78%2BR57m7p166YtW7Zo6tSpmjFjhkJDQ5WcnKzc3FyvPU1ZWVkKDQ3VggULVFRUpO7duysvL0%2BTJk3yqAsKCtLGjRuVk5OjhQsXyu12Kz4%2BXitXrlSfPn3O7kUCAADnJZ8FrAceeEAffPCB0tLSFBkZKUm644475HK5dOLECWVmZuqee%2B45oznT09M9DvH9mL59%2B3rcVPTHZGZmKjMz85R1HTp00LJly7Rs2bLTmhcAAFyYfHon9%2Beee0533nmn8vPzdfDgQTU2NqpXr15KT09XYmKir1YNAADgVz4JWHV1ddq0aZN69OihhIQE8xAhAADAhcAnVxGGhoZq9OjR2rZtmy%2BmBwAAaNV8sgfLZrOpd%2B/eqqys9MX0ABDQPvroI3%2B3cEqB0CPQmvn0Tu4PPvigbrnlFvXuzc01AaC%2BplKy2XT77bf7uxUAPuazgLVnzx516tRJ/fr105AhQ3TJJZd4fV%2BfzWbTggULfNUCALQqJ2u/kwxDl6TkyBHVw9/t/KhvP96liq3WfNsGcCHyWcDKy8szf3799debrSFgAbgQOaJ6tPqvzXK7Dvm7BSCg%2BSxgnenX4AAAAJwvLL2KcObMmXr//fclScHBwaf1AAAAON9YGrDmzZunffv2mb8fPXpUwcHB%2Btvf/mblagAAAFo1n9wH64cMw/D1KgAAAFoVnwcsAACACw0BCwAAwGKWX0X42Wefaffu3ZKkqqoqSdLBgwfVsWPHZusHDBhgdQsAAAB%2BZXnAevjhh/Xwww97jE2cONGrzjAM2Ww2NTQ0WN0CAACAX1kasJ577jkrpwMAAAhIlgasO%2B%2B808rpAAAAAhInuQMAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFAipglZSUKDs7W5dffrnCw8PVs2dP3XLLLTp48KBX7YEDB5SUlKT27dsrMjJSY8eOlcvlanbe5cuXq1%2B/fnI4HHI6nVq0aFGzdVVVVZowYYKio6MVHh6uxMRE7dmzx9JtBAAAga%2BNvxs4E48//rjefvttpaWl6corr9RXX32lhQsXasCAAXrnnXfUr18/SVJZWZkGDx6sTp06ad68eaqurtb8%2BfO1b98%2BFRcXq02b/9vspUuXKisrS2lpaZo2bZq2bdumyZMny%2B12Kycnx6wzDEMjRozQBx98oOnTpysyMlKLFy9WQkKCdu/erV69ep3z1wMAALROARWwpk2bpjVr1ngEpPT0dF1xxRWaN2%2BeVq5cKUmaO3eu3G639u7dq65du0qSrr76ag0dOlQrVqzQ3XffLUmqra3VQw89pFGjRunFF1%2BUJGVmZqqhoUFz5szRhAkT1KFDB0nSunXrtGPHDhUUFGj06NGSpLS0NDmdTs2aNUurVq06Z68DAABo3QLqEOE111zjEa4kqXfv3rrsssv00UcfmWOFhYVKTk42w5UkDRkyRE6nU2vXrjXHNm/erMrKSk2cONFjzvvuu081NTXasGGDOVZQUKAuXbqY4UqSoqKilJ6erpdffln19fWWbScAAAhsARWwWnL48GFFRUVJksrLy3XkyBENGjTIqy4%2BPt7jnKmmnwcOHOhRN3DgQAUFBXnVDhgwoNk5jx8/rtLSUku2BQAABL6AD1irVq1SWVmZbr31VklSRUWFJCkmJsarNiYmRpWVlebepoqKCgUHB5vhrElISIgiIyNVXl5ujlVUVLQ4pySPWgAAcGEL6IB14MABZWdn6/rrr9fYsWMlSW63W5LUtm1br3q73e5R43a7FRoa2uzcdrvdrGuqbWlOwzA8agEAwIUtYAPW4cOHNXLkSHXq1Enr1q2TzWaTJDkcDklSXV2d13Nqa2s9ahwOh06cONHs/LW1tWZdU21Lc9psNo9aAABwYQuoqwibHDt2TElJSTp27Ji2b9%2BuLl26mMuaDtk1HSr8oYqKCkVERCgkJMSsbWhokMvl8jhMWF9fr6NHjyo2NtZj3pbmlORR25JDbyxVsL2dx1hEvwRFXJZwyucCAICWrVmzRmvWrPEYq6qq8lM3ARiw6urqlJycrI8//libNm3Sz372M4/lsbGx6ty5s0pKSryeW1xcrLi4OPP3uLg4GYahkpISJSUlmeO7du1SY2OjV%2B327du95ty5c6fCwsLkdDpP2Xv3ofcqrEvv09pOAABw%2BjIyMpSRkeExtnv3bq8L2c6VgDpE2NjYqPT0dL3zzjvKz89XfHx8s3VjxozR%2BvXrVVZWZo5t2rRJpaWlSk9PN8cSExMVERGhJUuWeDx/yZIlateunUaOHGmOpaam6vDhwyosLDTHXC6X8vPzlZKSYu4VAwAACKg9WFOnTlVRUZFSUlLkcrn0/PPPeyy/7bbbJEkzZ85Ufn6%2BEhISNGXKFFVXVys3N1f9%2B/fXuHHjzHq73a45c%2BYoOztb6enpGjZsmLZu3arVq1frscceU8eOHc3a1NRU5eXlafz48dq/f7%2BioqK0ePFiNTY2avbs2edi8wEAQIAIqID13nvvyWazqaioSEVFRV7LmwJWt27dtGXLFk2dOlUzZsxQaGiokpOTlZub67WnKSsrS6GhoVqwYIGKiorUvXt35eXladKkSR51QUFB2rhxo3JycrRw4UK53W7Fx8dr5cqV6tOnj%2B82GgAABJyAClibN28%2B7dq%2Bfftq48aNp1WbmZmpzMzMU9Z16NBBy5Yt07Jly067DwAAcOEJqHOwAAAAAgEBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIu18XcDAFqvjz76yN8tnFIg9AjgwkPAAuClvqZSstl0%2B%2B23%2B7sVAAhIBCwAXk7WficZhi5JyZEjqoe/2/lR3368SxVbV/q7DQDwQMAC0CJHVA%2BFdent7zZ%2BlNt1yN8tAIAXTnIHAACwGHuwAADnjUC56CEqKko9erTuw%2B/4aQhYAICAF2gXZtgdYfrHgY8IWecxAhYAIOAF0oUZbtcX%2BuyV%2BXK5XASs8xgBCwBw3giECzNwYeAkdwAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwWMAFrO%2B%2B%2B06zZs3S8OHDFRkZqaCgIK1cubLZ2gMHDigpKUnt27dXZGSkxo4dK5fL1Wzt8uXL1a9fPzkcDjmdTi1atKjZuqqqKk2YMEHR0dEKDw9XYmKi9uzZY9n2AQCAwBdwAcvlcmnOnDk6cOCA4uLiZLPZmq0rKyvT4MGD9emnn2revHnKycnRhg0bdNNNN%2BnkyZMetUuXLtU999yjK664QosWLdJ1112nyZMna/78%2BR51hmFoxIgReuGFF8zlX3/9tRISEvTJJ5/4bJsBAEBgCbg7ucfGxuqrr75SdHS03n33XV199dXN1s2dO1dut1t79%2B5V165dJUlXX321hg4dqhUrVujuu%2B%2BWJNXW1uqhhx7SqFGj9OKLL0qSMjMz1dDQoDlz5mjChAnq0KGDJGndunXasWOHCgoKNHr0aElSWlqanE6nZs2apVWrVvl68wEAQAAIuD1YISEhio6OPmVdYWGhkpOTzXAlSUOGDJHT6dTatWvNsc2bN6uyslITJ070eP59992nmpoabdiwwRwrKChQly5dzHAlff%2BN6Onp6Xr55ZdVX1//UzYNAACcJwIuYJ2O8vJyHTlyRIMGDfJaFh8f73HOVNPPAwcO9KgbOHCggoKCvGoHDBjQ7JzHjx9XaWmpVZsAAAAC2HkZsCoqKiRJMTExXstiYmJUWVlp7m2qqKhQcHCwoqKiPOpCQkIUGRmp8vJyj3lbmlOSRy0AALhwnZcBy%2B12S5Latm3rtcxut3vUuN1uhYaGNjuP3W4365pqW5rTMAyPWgAAcOE6LwOWw%2BGQJNXV1Xktq62t9ahxOBw6ceJEs/PU1taadU21Lc1ps9k8agEAwIUr4K4iPB1Nh%2ByaDhX%2BUEVFhSIiIhQSEmLWNjQ0yOVyeRwmrK%2Bv19GjRxUbG%2Bsxb0tzSvKobc6hN5Yq2N7OYyyiX4IiLks4vQ0DAADNWrNmjdasWeMxVlVV5aduztOAFRsbq86dO6ukpMRrWXFxseLi4szf4%2BLiZBiGSkpKlJSUZI7v2rVLjY2NXrXbt2/3mnPnzp0KCwuT0%2Bn80b66D71XYV16n80mAQCAH5GRkaGMjAyPsd27d3tdxHaunJeHCCVpzJgxWr9%2BvcrKysyxTZs2qbS0VOnp6eZYYmKiIiIitGTJEo/nL1myRO3atdPIkSPNsdTUVB0%2BfFiFhYXmmMvlUn5%2BvlJSUsy9YgAA4MIWkHuwnn76aX377bdmeHrllVd06NAhSdLkyZPVvn17zZw5U/n5%2BUpISNCUKVNUXV2t3Nxc9e/fX%2BPGjTPnstvtmjNnjrKzs5Wenq5hw4Zp69atWr16tR577DF17NjRrE1NTVVeXp7Gjx%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%2BjNN9/0d1sAAKAVIWCdoTvvvFN5eXm644479Mc//lFt2rTRiBEj9Pbbb/u7NQAA0EoQsM5AcXGxXnzxRc2bN0/z5s3T3XffrU2bNqlnz56aPn26v9uDH1Xuf8vfLcCHeH/Pb7y/8AUC1hnIz89XmzZtdM8995hjbdu2VWZmpnbs2KGysjI/dgd/qvzwLX%2B3AB/i/T2/8f7CF9r4u4FAsnfvXjmdToWHh3uMx8fHm8u7du3qj9YAAAHmo48%2B8ncLpyUqKko9evTwdxsBh4B1BioqKhQTE%2BM1HhMTI8MwVF5e7oeuAACBpL6mUrLZdPvtt/u7ldNid4TpHwc%2BImSdIQLWGXC73Wrbtq3XuN1uN5cDAPBjTtZ%2BJxmGLknJkSOqdYcWt%2BsLffbKfLlcLgLWGSJgnQGHw6G6ujqv8draWnN5c5qC12cb8hQc2nxNa1Fb%2BaUk6duPd8ntOuTnbn5czaH9klpHryeOuXR03%2BYfrWlN/Z4KvXo6nff3dPC6%2Bs5P6deq9/d0NfVa9%2B1hSbZztt6z8X2PgXM481819e2XHSAGTtvQoUONyy67zGt806ZNhs1mM9avX9/s81atWmVI4sGDBw8ePHj44bFq1SpfRwQv7ME6A3FxcXrrrbdUU1PjcaL7zp07ZbPZFBcX1%2Bzzhg0bplWrVumSSy5pcS8XAACwltvt1meffaZhw4ad83XbDMMwzvlaA1RxcbGuueYa5ebmaurUqZK%2Bv7P75Zdfrs6dO%2Bvvf/%2B7nzsEAACtAXuwzkB8fLzS0tI0Y8YMHT58WL1799aKFSv0%2Beef67nnnvN3ewAAoJVgD9YZOnHihB5%2B%2BGGtWrVK33zzja688ko9%2BuijuvHGG/3dGgAAaCUIWAAAABbjq3IAAAAsRsDyoRMnTujBBx9U165dFRYWpmuuuUZvvvmmv9uCBbZs2aKgoCCvR3BwsIqLi/3dHs7Ad999p1mzZmn48OGKjIxUUFCQVq5c2WztgQMHlJSUpPbt2ysyMlJjx46Vy%2BU6xx3jTJzu%2Bzt%2B/PhmP9P9%2BvXzQ9c4XSUlJcrOztbll1%2Bu8PBw9ezZU7fccosOHjzoVXuuP7%2Bc5O5Dd955pwoLC/XAAw%2BYJ8SPGDFCb731lq677jp/twcL3H///Ro0aJDHWO/evf3UDc6Gy%2BXSnDlz1LNnT/NWLM0pKyvT4MGD1alTJ82bN0/V1dWaP3%2B%2B9u3bp%2BLiYrVpw39OW6PTfX%2Bl77%2BVY/ny5frhmTMdOnQ4B13ibD3%2B%2BON6%2B%2B23lZaWpiuvvFJfffWVFi5cqAEDBuidd94xA7JfPr/n/M5bF4h33nnHsNlsxhNPPGGO1dbWGr179zauv/56P3YGK7z11luGzWYzCgoK/N0KfqITJ04Yhw8fNgzDMEpKSgybzWb86U9/8qrLysoy2rVrZ3z55Zfm2JtvvmnYbDbj2WefPWf94syc7vs7btw4o3379ue6PfxEO3bsMOrr6z3GDh48aNjtduOOO%2B4wx/zx%2BeUQoY/k5%2BerTZs2uueee8yxtm3bKjMzUzt27FBZWZkfu4OVampq1NDQ4O82cJZCQkIUHR19yrrCwkIlJyera9eu5tiQIUPkdDq1du1aX7aIn%2BB0398mjY2Nqq6u9mFHsNI111zjtfepd%2B/euuyyyzy%2B3scfn18Clo/s3btXTqfT447v0vf30mpajsA3fvx4XXTRRbLb7UpMTNS7777r75bgA%2BXl5Tpy5IjX4WDp%2B8/0nj17/NAVrHb8%2BHFddNFF6tChgyIjI5Wdna3vvvvO323hLBw%2BfFhRUVGS/Pf55aQBH6moqFBMTIzXeExMjAzDUHl5uR%2B6glVCQ0OVmpqqESNGKCoqSh9%2B%2BKFyc3N1ww036O2331b//v393SIsVFFRIUktfqYrKytVX1%2BvkJCQc90aLBIbG6vp06drwIABamxs1GuvvabFixfr/fff11tvvaWgIPZHBIpVq1aprKxMjz76qCT/fX4JWD7idrvVtm1br3G73W4uR%2BC69tprde2115q/Jycna8yYMbryyis1Y8YMvfrqq37sDlZr%2Brye6jNNwApcc%2BfO9fg9PT1dffr00UMPPaT8/Hylp6f7qTOciQMHDig7O1vXX3%2B9xo4dK8l/n18iuY84HA7V1dV5jdfW1prLcX7p1auXfv3rX2vz5s0eVyEh8DV9XvlMX1geeOAB2Ww2bq8TIA4fPqyRI0eqU6dOWrdunWw2myT/fX4JWD4SExNj7pb8oaax2NjYc90SzoHu3bvrxIkTnLdxnmk6tNDSZzoiIoK9V%2Bchu92uyMhIVVZW%2BrsVnMKxY8eUlJSkY8eO6bXXXlOXLl3MZf76/BKwfCQuLk6lpaWqqanxGN%2B5c6dsNpvi4uL81Bl86ZNPPpHdbve6uAGBLTY2Vp07d1ZJSYnXsuLiYj7P56mamhq5XC517tzZ363gR9TV1Sk5OVkff/yxNmzYoJ/97Gcey/31%2BSVg%2BUhqaqpOnjypZcuWmWMnTpzQihUrdM0113hcKorA09zdf9977z0VFRVp2LBhfugIvjZmzBitX7/e4xYrmzZtUmlpKefnBLi6ujqvP4Yl6fe//70kafjw4ee6JZymxsZGpaen65133lF%2Bfr55pf6/8sfnly979qFbbrlFf/nLX3T//febd3IvKSnR3/72N11//fX%2Bbg8/wZAhQ%2BRwOHTdddcpOjpa%2B/fv17PPPqu2bdvq7bff9voLCq3b008/rW%2B//VZlZWV65plndPPNN%2Buqq66SJE2ePFnt27fXl19%2BqQEDBqhDhw6aMmWKqqurlZubqx49eqi4uJhDhK3Yqd7fyspKXXXVVcrIyNDPf/5zSdJrr72mjRs3asSIEVq/fr0/28ePuP/%2B%2B/XHP/5RKSkpSktL81p%2B2223SZJ/Pr8%2BuX0pDMMwjLq6OmP69OlGbGys4XA4jF/84hfGG2%2B84e%2B2YIGFCxca11xzjREVFWWEhoYaXbt2Ne68807jk08%2B8XdrOAuXXHKJERQU1Ozj888/N%2Bs%2B/PBDIykpyQgPDzciIiKMsWPHGkeOHPFj5zgdp3p/v/32W2Ps2LGG0%2Bk0wsPDDYfDYVxxxRXG448/bpw8edLf7eNHJCQktPjeBgUFedSe688ve7AAAAAsxjlYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGCx/w9LEp37WUqsCAAAAABJRU5ErkJggg%3D%3D\"/>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common8362409319507859673\">\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">4698</td>\n",
-       "        <td class=\"number\">15.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:46%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">14.0</td>\n",
-       "        <td class=\"number\">2023</td>\n",
-       "        <td class=\"number\">6.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">5.0</td>\n",
-       "        <td class=\"number\">1986</td>\n",
-       "        <td class=\"number\">6.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">10.0</td>\n",
-       "        <td class=\"number\">1984</td>\n",
-       "        <td class=\"number\">6.7%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:20%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">3.0</td>\n",
-       "        <td class=\"number\">1576</td>\n",
-       "        <td class=\"number\">5.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">7.0</td>\n",
-       "        <td class=\"number\">1571</td>\n",
-       "        <td class=\"number\">5.3%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:16%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">2.0</td>\n",
-       "        <td class=\"number\">1446</td>\n",
-       "        <td class=\"number\">4.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">6.0</td>\n",
-       "        <td class=\"number\">1304</td>\n",
-       "        <td class=\"number\">4.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">1.0</td>\n",
-       "        <td class=\"number\">1303</td>\n",
-       "        <td class=\"number\">4.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">4.0</td>\n",
-       "        <td class=\"number\">1302</td>\n",
-       "        <td class=\"number\">4.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (256)</td>\n",
-       "        <td class=\"number\">10330</td>\n",
-       "        <td class=\"number\">35.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme8362409319507859673\">\n",
-       "            <p class=\"h4\">Minimum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.0</td>\n",
-       "        <td class=\"number\">4698</td>\n",
-       "        <td class=\"number\">15.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.02</td>\n",
-       "        <td class=\"number\">19</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.04</td>\n",
-       "        <td class=\"number\">5</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.05</td>\n",
-       "        <td class=\"number\">5</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">0.1</td>\n",
-       "        <td class=\"number\">15</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "            <p class=\"h4\">Maximum 5 values</p>\n",
-       "            \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">16.3</td>\n",
-       "        <td class=\"number\">4</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">16.4</td>\n",
-       "        <td class=\"number\">4</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:10%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">16.5</td>\n",
-       "        <td class=\"number\">5</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">17.0</td>\n",
-       "        <td class=\"number\">43</td>\n",
-       "        <td class=\"number\">0.1%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">18.0</td>\n",
-       "        <td class=\"number\">6</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:14%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>stationId</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td>27-0039-00-202</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow ignore\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\"><s><code>stationName</code></s><br/>\n",
-       "            <small>Constant</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <p><em>This variable is constant and should be ignored for analysis</em></p>\n",
-       "</div>\n",
-       "<div class=\"col-md-6\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr>\n",
-       "            <th>Constant value</th>\n",
-       "            <td>CEDAR</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">statisticType<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>2</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>200.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>100.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>29530</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-549575781760974197\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Minimum</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 0.0%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        1\n",
-       "    </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "    <th>(Missing)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 100.0%\">\n",
-       "            29530\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-549575781760974197, #minifreqtable-549575781760974197\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-549575781760974197\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Minimum</td>\n",
-       "        <td class=\"number\">1</td>\n",
-       "        <td class=\"number\">0.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"missing\">\n",
-       "        <td class=\"fillremaining\">(Missing)</td>\n",
-       "        <td class=\"number\">29530</td>\n",
-       "        <td class=\"number\">100.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">testMethodId<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>53</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.2%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable2377848057333797115\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>FLD</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 76.2%\">\n",
-       "            22499\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>4500-P-E</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:13%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 9.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2825\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>LEG_UNKNOWN</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 2.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        777\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (50)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:16%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 11.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        3430\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable2377848057333797115, #minifreqtable2377848057333797115\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable2377848057333797115\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">FLD</td>\n",
-       "        <td class=\"number\">22499</td>\n",
-       "        <td class=\"number\">76.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">4500-P-E</td>\n",
-       "        <td class=\"number\">2825</td>\n",
-       "        <td class=\"number\">9.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">LEG_UNKNOWN</td>\n",
-       "        <td class=\"number\">777</td>\n",
-       "        <td class=\"number\">2.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">10200-H</td>\n",
-       "        <td class=\"number\">580</td>\n",
-       "        <td class=\"number\">2.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">FLD TURB PROBE</td>\n",
-       "        <td class=\"number\">573</td>\n",
-       "        <td class=\"number\">1.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">DO WINKLER</td>\n",
-       "        <td class=\"number\">404</td>\n",
-       "        <td class=\"number\">1.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">4500-N-C</td>\n",
-       "        <td class=\"number\">268</td>\n",
-       "        <td class=\"number\">0.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">4500-CL-(B)</td>\n",
-       "        <td class=\"number\">224</td>\n",
-       "        <td class=\"number\">0.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">4500-SI(D)</td>\n",
-       "        <td class=\"number\">136</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">3113-B</td>\n",
-       "        <td class=\"number\">132</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (43)</td>\n",
-       "        <td class=\"number\">1113</td>\n",
-       "        <td class=\"number\">3.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div><div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-3 namecol\">\n",
-       "        <p class=\"h4\">testMethodName<br/>\n",
-       "            <small>Categorical</small>\n",
-       "        </p>\n",
-       "    </div><div class=\"col-md-3\">\n",
-       "    <table class=\"stats \">\n",
-       "        <tr class=\"alert\">\n",
-       "            <th>Distinct count</th>\n",
-       "            <td>53</td>\n",
-       "        </tr>\n",
-       "        <tr>\n",
-       "            <th>Unique (%)</th>\n",
-       "            <td>0.2%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (%)</th>\n",
-       "            <td>0.0%</td>\n",
-       "        </tr>\n",
-       "        <tr class=\"ignore\">\n",
-       "            <th>Missing (n)</th>\n",
-       "            <td>0</td>\n",
-       "        </tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-1834086838051597733\">\n",
-       "    <table class=\"mini freq\">\n",
-       "        <tr class=\"\">\n",
-       "    <th>Field measurement/observation, generic method</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 76.2%\">\n",
-       "            22499\n",
-       "        </div>\n",
-       "        \n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Phosphorus in Water by Colorimetry- Ascorbic Acid Method</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:13%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 9.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        2825\n",
-       "    </td>\n",
-       "</tr><tr class=\"\">\n",
-       "    <th>Legacy STORET migration; analytical procedure not specified</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:4%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 2.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        777\n",
-       "    </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "    <th>Other values (50)</th>\n",
-       "    <td>\n",
-       "        <div class=\"bar\" style=\"width:16%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n",
-       "             data-delay=500 title=\"Percentage: 11.6%\">\n",
-       "            &nbsp;\n",
-       "        </div>\n",
-       "        3430\n",
-       "    </td>\n",
-       "</tr>\n",
-       "    </table>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 text-right\">\n",
-       "    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-1834086838051597733, #minifreqtable-1834086838051597733\"\n",
-       "       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n",
-       "        Toggle details\n",
-       "    </a>\n",
-       "</div>\n",
-       "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1834086838051597733\">\n",
-       "    \n",
-       "<table class=\"freq table table-hover\">\n",
-       "    <thead>\n",
-       "    <tr>\n",
-       "        <td class=\"fillremaining\">Value</td>\n",
-       "        <td class=\"number\">Count</td>\n",
-       "        <td class=\"number\">Frequency (%)</td>\n",
-       "        <td style=\"min-width:200px\">&nbsp;</td>\n",
-       "    </tr>\n",
-       "    </thead>\n",
-       "    <tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Field measurement/observation, generic method</td>\n",
-       "        <td class=\"number\">22499</td>\n",
-       "        <td class=\"number\">76.2%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Phosphorus in Water by Colorimetry- Ascorbic Acid Method</td>\n",
-       "        <td class=\"number\">2825</td>\n",
-       "        <td class=\"number\">9.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:13%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Legacy STORET migration; analytical procedure not specified</td>\n",
-       "        <td class=\"number\">777</td>\n",
-       "        <td class=\"number\">2.6%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Chlorophyll a-b-c Determination</td>\n",
-       "        <td class=\"number\">580</td>\n",
-       "        <td class=\"number\">2.0%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Turbidity, Probe Method</td>\n",
-       "        <td class=\"number\">573</td>\n",
-       "        <td class=\"number\">1.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Dissolved Oxygen, Iodometric Method with Azide Modification</td>\n",
-       "        <td class=\"number\">404</td>\n",
-       "        <td class=\"number\">1.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Persufate Method for Total Nitrogen</td>\n",
-       "        <td class=\"number\">268</td>\n",
-       "        <td class=\"number\">0.9%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Chloride in Water by Titration- Argentometric Method</td>\n",
-       "        <td class=\"number\">224</td>\n",
-       "        <td class=\"number\">0.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Silica in Water by Spectrophotometry- Molybdosilicate Method</td>\n",
-       "        <td class=\"number\">136</td>\n",
-       "        <td class=\"number\">0.5%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"\">\n",
-       "        <td class=\"fillremaining\">Metals in Water by GFAA</td>\n",
-       "        <td class=\"number\">132</td>\n",
-       "        <td class=\"number\">0.4%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr><tr class=\"other\">\n",
-       "        <td class=\"fillremaining\">Other values (43)</td>\n",
-       "        <td class=\"number\">1113</td>\n",
-       "        <td class=\"number\">3.8%</td>\n",
-       "        <td>\n",
-       "            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n",
-       "        </td>\n",
-       "</tr>\n",
-       "</table>\n",
-       "</div>\n",
-       "</div>\n",
-       "    <div class=\"row headerrow highlight\">\n",
-       "        <h1>Sample</h1>\n",
-       "    </div>\n",
-       "    <div class=\"row variablerow\">\n",
-       "    <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n",
-       "        <table border=\"1\" class=\"dataframe sample\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>analysisDate</th>\n",
-       "      <th>collectingOrg</th>\n",
-       "      <th>comments</th>\n",
-       "      <th>county</th>\n",
-       "      <th>gtlt</th>\n",
-       "      <th>parameter</th>\n",
-       "      <th>result</th>\n",
-       "      <th>resultUnit</th>\n",
-       "      <th>sampleDate</th>\n",
-       "      <th>sampleTime</th>\n",
-       "      <th>sampleDepthUnit</th>\n",
-       "      <th>sampleFractionType</th>\n",
-       "      <th>sampleLowerDepth</th>\n",
-       "      <th>sampleType</th>\n",
-       "      <th>sampleUpperDepth</th>\n",
-       "      <th>stationId</th>\n",
-       "      <th>stationName</th>\n",
-       "      <th>statisticType</th>\n",
-       "      <th>testMethodId</th>\n",
-       "      <th>testMethodName</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1901-01-01</td>\n",
-       "      <td>MPCA Lake Monitoring Program Project</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Hennepin</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Chlorophyll a, uncorrected for pheophytin</td>\n",
-       "      <td>8.79</td>\n",
-       "      <td>ug/L</td>\n",
-       "      <td>1971-06-08</td>\n",
-       "      <td>00:01:00</td>\n",
-       "      <td>m</td>\n",
-       "      <td>Total</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Sample</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>27-0039-00-202</td>\n",
-       "      <td>CEDAR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>LEG_P32210</td>\n",
-       "      <td>CHLOROPHYLL-A UG/L TRICHROMATIC UNCORRECTED</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1901-01-01</td>\n",
-       "      <td>MPCA Lake Monitoring Program Project</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Hennepin</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Chlorophyll a, uncorrected for pheophytin</td>\n",
-       "      <td>3.88</td>\n",
-       "      <td>ug/L</td>\n",
-       "      <td>1972-07-12</td>\n",
-       "      <td>00:01:00</td>\n",
-       "      <td>m</td>\n",
-       "      <td>Total</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Sample</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>27-0039-00-202</td>\n",
-       "      <td>CEDAR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>LEG_P32210</td>\n",
-       "      <td>CHLOROPHYLL-A UG/L TRICHROMATIC UNCORRECTED</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1901-01-01</td>\n",
-       "      <td>MPCA Lake Monitoring Program Project</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Hennepin</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Chlorophyll a, uncorrected for pheophytin</td>\n",
-       "      <td>13.7</td>\n",
-       "      <td>ug/L</td>\n",
-       "      <td>1972-07-24</td>\n",
-       "      <td>00:01:00</td>\n",
-       "      <td>m</td>\n",
-       "      <td>Total</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Sample</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>27-0039-00-202</td>\n",
-       "      <td>CEDAR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>LEG_P32210</td>\n",
-       "      <td>CHLOROPHYLL-A UG/L TRICHROMATIC UNCORRECTED</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1901-01-01</td>\n",
-       "      <td>MPCA Lake Monitoring Program Project</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Hennepin</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Chlorophyll a, uncorrected for pheophytin</td>\n",
-       "      <td>18.76</td>\n",
-       "      <td>ug/L</td>\n",
-       "      <td>1972-08-09</td>\n",
-       "      <td>00:01:00</td>\n",
-       "      <td>m</td>\n",
-       "      <td>Total</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Sample</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>27-0039-00-202</td>\n",
-       "      <td>CEDAR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>LEG_P32210</td>\n",
-       "      <td>CHLOROPHYLL-A UG/L TRICHROMATIC UNCORRECTED</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1901-01-01</td>\n",
-       "      <td>MPCA Lake Monitoring Program Project</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Hennepin</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Chlorophyll a, uncorrected for pheophytin</td>\n",
-       "      <td>17.16</td>\n",
-       "      <td>ug/L</td>\n",
-       "      <td>1972-08-18</td>\n",
-       "      <td>00:01:00</td>\n",
-       "      <td>m</td>\n",
-       "      <td>Total</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Sample</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>27-0039-00-202</td>\n",
-       "      <td>CEDAR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>LEG_P32210</td>\n",
-       "      <td>CHLOROPHYLL-A UG/L TRICHROMATIC UNCORRECTED</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "    </div>\n",
-       "</div>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "<pandas_profiling.ProfileReport at 0x1e94570ad68>"
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pandas_profiling.ProfileReport(lake_qual)"
    ]
@@ -14144,7 +1520,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:05.273333",
@@ -14153,25 +1529,7 @@
     "collapsed": false,
     "scrolled": true
    },
-   "outputs": [
-    {
-     "ename": "ValueError",
-     "evalue": "could not convert string to float: '3.MED ALGAE'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-46-65afbef40f48>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlake_qual\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'result'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlake_qual\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'result'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'float'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, raise_on_error, **kwargs)\u001b[0m\n\u001b[1;32m   2948\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2949\u001b[0m         mgr = self._data.astype(dtype=dtype, copy=copy,\n\u001b[0;32m-> 2950\u001b[0;31m                                 raise_on_error=raise_on_error, **kwargs)\n\u001b[0m\u001b[1;32m   2951\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_constructor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmgr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__finalize__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2952\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, **kwargs)\u001b[0m\n\u001b[1;32m   2936\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2937\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2938\u001b[0;31m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'astype'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2939\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2940\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mconvert\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, f, axes, filter, do_integrity_check, consolidate, raw, **kwargs)\u001b[0m\n\u001b[1;32m   2888\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2889\u001b[0m             \u001b[0mkwargs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'mgr'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2890\u001b[0;31m             \u001b[0mapplied\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2891\u001b[0m             \u001b[0mresult_blocks\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_extend_blocks\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mapplied\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mresult_blocks\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   2892\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, raise_on_error, values, **kwargs)\u001b[0m\n\u001b[1;32m    432\u001b[0m                **kwargs):\n\u001b[1;32m    433\u001b[0m         return self._astype(dtype, copy=copy, raise_on_error=raise_on_error,\n\u001b[0;32m--> 434\u001b[0;31m                             values=values, **kwargs)\n\u001b[0m\u001b[1;32m    435\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    436\u001b[0m     def _astype(self, dtype, copy=False, raise_on_error=True, values=None,\n",
-      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\internals.py\u001b[0m in \u001b[0;36m_astype\u001b[0;34m(self, dtype, copy, raise_on_error, values, klass, mgr, **kwargs)\u001b[0m\n\u001b[1;32m    475\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    476\u001b[0m                 \u001b[1;31m# _astype_nansafe works fine with 1-d only\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m--> 477\u001b[0;31m                 \u001b[0mvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_astype_nansafe\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    478\u001b[0m                 \u001b[0mvalues\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m    479\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32mC:\\Anaconda3\\lib\\site-packages\\pandas\\core\\common.py\u001b[0m in \u001b[0;36m_astype_nansafe\u001b[0;34m(arr, dtype, copy)\u001b[0m\n\u001b[1;32m   1918\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1919\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1920\u001b[0;31m         \u001b[1;32mreturn\u001b[0m \u001b[0marr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1921\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0marr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mview\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m   1922\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mValueError\u001b[0m: could not convert string to float: '3.MED ALGAE'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "lake_qual['result'] = lake_qual['result'].astype('float')"
    ]
@@ -14185,7 +1543,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:30.745241",
@@ -14208,7 +1566,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:30.777312",
@@ -14216,18 +1574,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(984, 20)"
-      ]
-     },
-     "execution_count": 48,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "lake_qual = lake_qual[lake_qual['sampleDate'].dt.year == 2014]\n",
     "lake_qual.shape"
@@ -14242,7 +1589,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:30.834207",
@@ -14250,199 +1597,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>analysisDate</th>\n",
-       "      <th>collectingOrg</th>\n",
-       "      <th>comments</th>\n",
-       "      <th>county</th>\n",
-       "      <th>gtlt</th>\n",
-       "      <th>parameter</th>\n",
-       "      <th>result</th>\n",
-       "      <th>resultUnit</th>\n",
-       "      <th>sampleDate</th>\n",
-       "      <th>sampleTime</th>\n",
-       "      <th>sampleDepthUnit</th>\n",
-       "      <th>sampleFractionType</th>\n",
-       "      <th>sampleLowerDepth</th>\n",
-       "      <th>sampleType</th>\n",
-       "      <th>sampleUpperDepth</th>\n",
-       "      <th>stationId</th>\n",
-       "      <th>stationName</th>\n",
-       "      <th>statisticType</th>\n",
-       "      <th>testMethodId</th>\n",
-       "      <th>testMethodName</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2803</th>\n",
-       "      <td>1901-01-01</td>\n",
-       "      <td>Minneapolis Chain of Lakes Project</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Hennepin</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Phosphorus as P</td>\n",
-       "      <td>0.022</td>\n",
-       "      <td>mg/L</td>\n",
-       "      <td>2014-06-25</td>\n",
-       "      <td>12:24:00</td>\n",
-       "      <td>m</td>\n",
-       "      <td>Total</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Sample</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>27-0039-00-202</td>\n",
-       "      <td>CEDAR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>4500-P-E</td>\n",
-       "      <td>Phosphorus in Water by Colorimetry- Ascorbic A...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2804</th>\n",
-       "      <td>1901-01-01</td>\n",
-       "      <td>Minneapolis Chain of Lakes Project</td>\n",
-       "      <td>Lab qualifier:  (&lt;)</td>\n",
-       "      <td>Hennepin</td>\n",
-       "      <td>&lt;</td>\n",
-       "      <td>Orthophosphate as P</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>mg/L</td>\n",
-       "      <td>2014-06-25</td>\n",
-       "      <td>12:24:00</td>\n",
-       "      <td>m</td>\n",
-       "      <td>Dissolved</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Sample</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>27-0039-00-202</td>\n",
-       "      <td>CEDAR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>4500-P-E</td>\n",
-       "      <td>Phosphorus in Water by Colorimetry- Ascorbic A...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2805</th>\n",
-       "      <td>1901-01-01</td>\n",
-       "      <td>Minneapolis Chain of Lakes Project</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Hennepin</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Phosphorus as P</td>\n",
-       "      <td>0.058</td>\n",
-       "      <td>mg/L</td>\n",
-       "      <td>2014-06-25</td>\n",
-       "      <td>12:21:00</td>\n",
-       "      <td>m</td>\n",
-       "      <td>Total</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Sample</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>27-0039-00-202</td>\n",
-       "      <td>CEDAR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>4500-P-E</td>\n",
-       "      <td>Phosphorus in Water by Colorimetry- Ascorbic A...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2806</th>\n",
-       "      <td>1901-01-01</td>\n",
-       "      <td>Minneapolis Chain of Lakes Project</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Hennepin</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Orthophosphate as P</td>\n",
-       "      <td>0.024</td>\n",
-       "      <td>mg/L</td>\n",
-       "      <td>2014-06-25</td>\n",
-       "      <td>12:21:00</td>\n",
-       "      <td>m</td>\n",
-       "      <td>Dissolved</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Sample</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>27-0039-00-202</td>\n",
-       "      <td>CEDAR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>4500-P-E</td>\n",
-       "      <td>Phosphorus in Water by Colorimetry- Ascorbic A...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2807</th>\n",
-       "      <td>1901-01-01</td>\n",
-       "      <td>Minneapolis Chain of Lakes Project</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Hennepin</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Phosphorus as P</td>\n",
-       "      <td>0.111</td>\n",
-       "      <td>mg/L</td>\n",
-       "      <td>2014-06-25</td>\n",
-       "      <td>12:20:00</td>\n",
-       "      <td>m</td>\n",
-       "      <td>Total</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>Sample</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>27-0039-00-202</td>\n",
-       "      <td>CEDAR</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>4500-P-E</td>\n",
-       "      <td>Phosphorus in Water by Colorimetry- Ascorbic A...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     analysisDate                       collectingOrg             comments  \\\n",
-       "2803   1901-01-01  Minneapolis Chain of Lakes Project                  NaN   \n",
-       "2804   1901-01-01  Minneapolis Chain of Lakes Project  Lab qualifier:  (<)   \n",
-       "2805   1901-01-01  Minneapolis Chain of Lakes Project                  NaN   \n",
-       "2806   1901-01-01  Minneapolis Chain of Lakes Project                  NaN   \n",
-       "2807   1901-01-01  Minneapolis Chain of Lakes Project                  NaN   \n",
-       "\n",
-       "        county gtlt            parameter  result resultUnit sampleDate  \\\n",
-       "2803  Hennepin  NaN      Phosphorus as P   0.022       mg/L 2014-06-25   \n",
-       "2804  Hennepin   <   Orthophosphate as P   0.003       mg/L 2014-06-25   \n",
-       "2805  Hennepin  NaN      Phosphorus as P   0.058       mg/L 2014-06-25   \n",
-       "2806  Hennepin  NaN  Orthophosphate as P   0.024       mg/L 2014-06-25   \n",
-       "2807  Hennepin  NaN      Phosphorus as P   0.111       mg/L 2014-06-25   \n",
-       "\n",
-       "     sampleTime sampleDepthUnit sampleFractionType  sampleLowerDepth  \\\n",
-       "2803   12:24:00               m              Total               NaN   \n",
-       "2804   12:24:00               m          Dissolved               NaN   \n",
-       "2805   12:21:00               m              Total               NaN   \n",
-       "2806   12:21:00               m          Dissolved               NaN   \n",
-       "2807   12:20:00               m              Total               NaN   \n",
-       "\n",
-       "     sampleType  sampleUpperDepth       stationId stationName statisticType  \\\n",
-       "2803     Sample               5.0  27-0039-00-202       CEDAR           NaN   \n",
-       "2804     Sample               5.0  27-0039-00-202       CEDAR           NaN   \n",
-       "2805     Sample              10.0  27-0039-00-202       CEDAR           NaN   \n",
-       "2806     Sample              10.0  27-0039-00-202       CEDAR           NaN   \n",
-       "2807     Sample              14.0  27-0039-00-202       CEDAR           NaN   \n",
-       "\n",
-       "     testMethodId                                     testMethodName  \n",
-       "2803     4500-P-E  Phosphorus in Water by Colorimetry- Ascorbic A...  \n",
-       "2804     4500-P-E  Phosphorus in Water by Colorimetry- Ascorbic A...  \n",
-       "2805     4500-P-E  Phosphorus in Water by Colorimetry- Ascorbic A...  \n",
-       "2806     4500-P-E  Phosphorus in Water by Colorimetry- Ascorbic A...  \n",
-       "2807     4500-P-E  Phosphorus in Water by Colorimetry- Ascorbic A...  "
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "lake_qual.head()"
    ]
@@ -14456,7 +1611,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:30.905264",
@@ -14464,230 +1619,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>parameter</th>\n",
-       "      <th>Alkalinity, total as CaCO3</th>\n",
-       "      <th>Chloride</th>\n",
-       "      <th>Chlorophyll a, corrected for pheophytin</th>\n",
-       "      <th>Depth, Secchi disk depth</th>\n",
-       "      <th>Dissolved oxygen (DO)</th>\n",
-       "      <th>Hardness, carbonate as CaCO3</th>\n",
-       "      <th>Inorganic nitrogen (nitrate and nitrite) as N</th>\n",
-       "      <th>Kjeldahl nitrogen as N</th>\n",
-       "      <th>Nutrient-nitrogen as N</th>\n",
-       "      <th>Orthophosphate as P</th>\n",
-       "      <th>Pheophytin a</th>\n",
-       "      <th>Phosphorus as P</th>\n",
-       "      <th>Silica as SiO2</th>\n",
-       "      <th>Specific conductance</th>\n",
-       "      <th>Sulfate as SO4</th>\n",
-       "      <th>Temperature, water</th>\n",
-       "      <th>pH</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sampleDate</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>2014-03-12</th>\n",
-       "      <td>134.0</td>\n",
-       "      <td>133.5</td>\n",
-       "      <td>0.50</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2.215333</td>\n",
-       "      <td>164.0</td>\n",
-       "      <td>0.577</td>\n",
-       "      <td>1.37</td>\n",
-       "      <td>0.792</td>\n",
-       "      <td>0.03850</td>\n",
-       "      <td>0.50</td>\n",
-       "      <td>0.17100</td>\n",
-       "      <td>1.28</td>\n",
-       "      <td>750.846667</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2.940000</td>\n",
-       "      <td>7.206667</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2014-05-05</th>\n",
-       "      <td>122.0</td>\n",
-       "      <td>162.0</td>\n",
-       "      <td>5.47</td>\n",
-       "      <td>1.41</td>\n",
-       "      <td>7.363529</td>\n",
-       "      <td>152.0</td>\n",
-       "      <td>0.144</td>\n",
-       "      <td>1.00</td>\n",
-       "      <td>1.180</td>\n",
-       "      <td>0.00950</td>\n",
-       "      <td>5.10</td>\n",
-       "      <td>0.05725</td>\n",
-       "      <td>0.50</td>\n",
-       "      <td>691.841176</td>\n",
-       "      <td>8.8</td>\n",
-       "      <td>6.543529</td>\n",
-       "      <td>7.844706</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2014-05-20</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>140.5</td>\n",
-       "      <td>3.30</td>\n",
-       "      <td>1.10</td>\n",
-       "      <td>6.518125</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.964</td>\n",
-       "      <td>0.00525</td>\n",
-       "      <td>1.23</td>\n",
-       "      <td>0.05425</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>711.987500</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>8.570000</td>\n",
-       "      <td>7.993125</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2014-06-11</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>141.5</td>\n",
-       "      <td>2.40</td>\n",
-       "      <td>3.85</td>\n",
-       "      <td>3.059412</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.855</td>\n",
-       "      <td>0.01500</td>\n",
-       "      <td>0.50</td>\n",
-       "      <td>0.05200</td>\n",
-       "      <td>0.50</td>\n",
-       "      <td>717.082353</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>10.798235</td>\n",
-       "      <td>7.157647</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2014-06-25</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>118.0</td>\n",
-       "      <td>8.20</td>\n",
-       "      <td>2.17</td>\n",
-       "      <td>3.078235</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.657</td>\n",
-       "      <td>0.01925</td>\n",
-       "      <td>0.83</td>\n",
-       "      <td>0.05475</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>696.905882</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>11.915294</td>\n",
-       "      <td>7.592353</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "parameter   Alkalinity, total as CaCO3  Chloride  \\\n",
-       "sampleDate                                         \n",
-       "2014-03-12                       134.0     133.5   \n",
-       "2014-05-05                       122.0     162.0   \n",
-       "2014-05-20                         NaN     140.5   \n",
-       "2014-06-11                         NaN     141.5   \n",
-       "2014-06-25                         NaN     118.0   \n",
-       "\n",
-       "parameter   Chlorophyll a, corrected for pheophytin  Depth, Secchi disk depth  \\\n",
-       "sampleDate                                                                      \n",
-       "2014-03-12                                     0.50                       NaN   \n",
-       "2014-05-05                                     5.47                      1.41   \n",
-       "2014-05-20                                     3.30                      1.10   \n",
-       "2014-06-11                                     2.40                      3.85   \n",
-       "2014-06-25                                     8.20                      2.17   \n",
-       "\n",
-       "parameter   Dissolved oxygen (DO)  Hardness, carbonate as CaCO3  \\\n",
-       "sampleDate                                                        \n",
-       "2014-03-12               2.215333                         164.0   \n",
-       "2014-05-05               7.363529                         152.0   \n",
-       "2014-05-20               6.518125                           NaN   \n",
-       "2014-06-11               3.059412                           NaN   \n",
-       "2014-06-25               3.078235                           NaN   \n",
-       "\n",
-       "parameter   Inorganic nitrogen (nitrate and nitrite) as N  \\\n",
-       "sampleDate                                                  \n",
-       "2014-03-12                                          0.577   \n",
-       "2014-05-05                                          0.144   \n",
-       "2014-05-20                                            NaN   \n",
-       "2014-06-11                                            NaN   \n",
-       "2014-06-25                                            NaN   \n",
-       "\n",
-       "parameter   Kjeldahl nitrogen as N  Nutrient-nitrogen as N  \\\n",
-       "sampleDate                                                   \n",
-       "2014-03-12                    1.37                   0.792   \n",
-       "2014-05-05                    1.00                   1.180   \n",
-       "2014-05-20                     NaN                   0.964   \n",
-       "2014-06-11                     NaN                   0.855   \n",
-       "2014-06-25                     NaN                   0.657   \n",
-       "\n",
-       "parameter   Orthophosphate as P  Pheophytin a  Phosphorus as P  \\\n",
-       "sampleDate                                                       \n",
-       "2014-03-12              0.03850          0.50          0.17100   \n",
-       "2014-05-05              0.00950          5.10          0.05725   \n",
-       "2014-05-20              0.00525          1.23          0.05425   \n",
-       "2014-06-11              0.01500          0.50          0.05200   \n",
-       "2014-06-25              0.01925          0.83          0.05475   \n",
-       "\n",
-       "parameter   Silica as SiO2  Specific conductance  Sulfate as SO4  \\\n",
-       "sampleDate                                                         \n",
-       "2014-03-12            1.28            750.846667             NaN   \n",
-       "2014-05-05            0.50            691.841176             8.8   \n",
-       "2014-05-20             NaN            711.987500             NaN   \n",
-       "2014-06-11            0.50            717.082353             NaN   \n",
-       "2014-06-25             NaN            696.905882             NaN   \n",
-       "\n",
-       "parameter   Temperature, water        pH  \n",
-       "sampleDate                                \n",
-       "2014-03-12            2.940000  7.206667  \n",
-       "2014-05-05            6.543529  7.844706  \n",
-       "2014-05-20            8.570000  7.993125  \n",
-       "2014-06-11           10.798235  7.157647  \n",
-       "2014-06-25           11.915294  7.592353  "
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "lake_qual_pivot = lake_qual.pivot_table(values='result', index='sampleDate', columns='parameter')\n",
     "lake_qual_pivot.head()"
@@ -14702,7 +1634,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:31.867779",
@@ -14725,7 +1657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:31.911809",
@@ -14740,7 +1672,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:32.008785",
@@ -14748,201 +1680,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>PIN</th>\n",
-       "      <th>ACRES_DEED</th>\n",
-       "      <th>ACRES_POLY</th>\n",
-       "      <th>AG_PRESERV</th>\n",
-       "      <th>BASEMENT</th>\n",
-       "      <th>BLDG_NUM</th>\n",
-       "      <th>BLOCK</th>\n",
-       "      <th>CITY</th>\n",
-       "      <th>CITY_USPS</th>\n",
-       "      <th>COOLING</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Orthophosphate as P</th>\n",
-       "      <th>Pheophytin a</th>\n",
-       "      <th>Phosphorus as P</th>\n",
-       "      <th>Silica as SiO2</th>\n",
-       "      <th>Specific conductance</th>\n",
-       "      <th>Sulfate as SO4</th>\n",
-       "      <th>Temperature, water</th>\n",
-       "      <th>pH</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>053-2902924330011</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.15</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1944</td>\n",
-       "      <td>003</td>\n",
-       "      <td>MINNEAPOLIS</td>\n",
-       "      <td>MINNEAPOLIS</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.03850</td>\n",
-       "      <td>0.50</td>\n",
-       "      <td>0.17100</td>\n",
-       "      <td>1.28</td>\n",
-       "      <td>750.846667</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>2.940000</td>\n",
-       "      <td>7.206667</td>\n",
-       "      <td>44.961482</td>\n",
-       "      <td>-93.32013</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>053-2902924330011</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.15</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1944</td>\n",
-       "      <td>003</td>\n",
-       "      <td>MINNEAPOLIS</td>\n",
-       "      <td>MINNEAPOLIS</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.00950</td>\n",
-       "      <td>5.10</td>\n",
-       "      <td>0.05725</td>\n",
-       "      <td>0.50</td>\n",
-       "      <td>691.841176</td>\n",
-       "      <td>8.8</td>\n",
-       "      <td>6.543529</td>\n",
-       "      <td>7.844706</td>\n",
-       "      <td>44.961482</td>\n",
-       "      <td>-93.32013</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>053-2902924330011</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.15</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1944</td>\n",
-       "      <td>003</td>\n",
-       "      <td>MINNEAPOLIS</td>\n",
-       "      <td>MINNEAPOLIS</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.00525</td>\n",
-       "      <td>1.23</td>\n",
-       "      <td>0.05425</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>711.987500</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>8.570000</td>\n",
-       "      <td>7.993125</td>\n",
-       "      <td>44.961482</td>\n",
-       "      <td>-93.32013</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>053-2902924330011</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.15</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1944</td>\n",
-       "      <td>003</td>\n",
-       "      <td>MINNEAPOLIS</td>\n",
-       "      <td>MINNEAPOLIS</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.01500</td>\n",
-       "      <td>0.50</td>\n",
-       "      <td>0.05200</td>\n",
-       "      <td>0.50</td>\n",
-       "      <td>717.082353</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>10.798235</td>\n",
-       "      <td>7.157647</td>\n",
-       "      <td>44.961482</td>\n",
-       "      <td>-93.32013</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>053-2902924330011</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.15</td>\n",
-       "      <td>N</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1944</td>\n",
-       "      <td>003</td>\n",
-       "      <td>MINNEAPOLIS</td>\n",
-       "      <td>MINNEAPOLIS</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.01925</td>\n",
-       "      <td>0.83</td>\n",
-       "      <td>0.05475</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>696.905882</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>11.915294</td>\n",
-       "      <td>7.592353</td>\n",
-       "      <td>44.961482</td>\n",
-       "      <td>-93.32013</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 68 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 PIN  ACRES_DEED  ACRES_POLY AG_PRESERV BASEMENT BLDG_NUM  \\\n",
-       "0  053-2902924330011         0.0        0.15          N      NaN     1944   \n",
-       "1  053-2902924330011         0.0        0.15          N      NaN     1944   \n",
-       "2  053-2902924330011         0.0        0.15          N      NaN     1944   \n",
-       "3  053-2902924330011         0.0        0.15          N      NaN     1944   \n",
-       "4  053-2902924330011         0.0        0.15          N      NaN     1944   \n",
-       "\n",
-       "  BLOCK         CITY    CITY_USPS COOLING    ...     Orthophosphate as P  \\\n",
-       "0   003  MINNEAPOLIS  MINNEAPOLIS     NaN    ...                 0.03850   \n",
-       "1   003  MINNEAPOLIS  MINNEAPOLIS     NaN    ...                 0.00950   \n",
-       "2   003  MINNEAPOLIS  MINNEAPOLIS     NaN    ...                 0.00525   \n",
-       "3   003  MINNEAPOLIS  MINNEAPOLIS     NaN    ...                 0.01500   \n",
-       "4   003  MINNEAPOLIS  MINNEAPOLIS     NaN    ...                 0.01925   \n",
-       "\n",
-       "   Pheophytin a  Phosphorus as P  Silica as SiO2 Specific conductance  \\\n",
-       "0          0.50          0.17100            1.28           750.846667   \n",
-       "1          5.10          0.05725            0.50           691.841176   \n",
-       "2          1.23          0.05425             NaN           711.987500   \n",
-       "3          0.50          0.05200            0.50           717.082353   \n",
-       "4          0.83          0.05475             NaN           696.905882   \n",
-       "\n",
-       "  Sulfate as SO4 Temperature, water        pH   latitude longitude  \n",
-       "0            NaN           2.940000  7.206667  44.961482 -93.32013  \n",
-       "1            8.8           6.543529  7.844706  44.961482 -93.32013  \n",
-       "2            NaN           8.570000  7.993125  44.961482 -93.32013  \n",
-       "3            NaN          10.798235  7.157647  44.961482 -93.32013  \n",
-       "4            NaN          11.915294  7.592353  44.961482 -93.32013  \n",
-       "\n",
-       "[5 rows x 68 columns]"
-      ]
-     },
-     "execution_count": 53,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result = cedar_lake_parcels.reset_index().merge(lake_qual_pivot, on='LAKE_NAME')\n",
     "result.head()"
@@ -14959,7 +1697,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:32.019293",
@@ -14967,25 +1705,14 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(2496, 68)"
-      ]
-     },
-     "execution_count": 54,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:32.073330",
@@ -15000,7 +1727,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:32.104352",
@@ -15008,18 +1735,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(2496, 60)"
-      ]
-     },
-     "execution_count": 56,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result.shape"
    ]
@@ -15042,7 +1758,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:32.492666",
@@ -15050,23 +1766,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    POINT (474420.2918534343 4978995.538410055)\n",
-       "1    POINT (474420.2918534343 4978995.538410055)\n",
-       "2    POINT (474420.2918534343 4978995.538410055)\n",
-       "3    POINT (474420.2918534343 4978995.538410055)\n",
-       "4    POINT (474420.2918534343 4978995.538410055)\n",
-       "Name: Parcel_Centroid, dtype: object"
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result['Parcel_Centroid'] = result.centroid\n",
     "result['Parcel_Centroid'].head()"
@@ -15085,7 +1785,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:32.502179",
@@ -15093,18 +1793,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'init': 'epsg:26915'}"
-      ]
-     },
-     "execution_count": 58,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# what is the starting projection\n",
     "result.crs"
@@ -15119,7 +1808,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:32.985098",
@@ -15134,7 +1823,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:33.031501",
@@ -15142,23 +1831,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    POINT (-93.324349184036 44.96393792859692)\n",
-       "1    POINT (-93.324349184036 44.96393792859692)\n",
-       "2    POINT (-93.324349184036 44.96393792859692)\n",
-       "3    POINT (-93.324349184036 44.96393792859692)\n",
-       "4    POINT (-93.324349184036 44.96393792859692)\n",
-       "Name: Parcel_Centroid, dtype: object"
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result['Parcel_Centroid'] = result.centroid\n",
     "result['Parcel_Centroid'].head()"
@@ -15175,7 +1848,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:33.135459",
@@ -15183,23 +1856,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    (44.96393792859692, -93.324349184036)\n",
-       "1    (44.96393792859692, -93.324349184036)\n",
-       "2    (44.96393792859692, -93.324349184036)\n",
-       "3    (44.96393792859692, -93.324349184036)\n",
-       "4    (44.96393792859692, -93.324349184036)\n",
-       "Name: Parcel_Centroid, dtype: object"
-      ]
-     },
-     "execution_count": 61,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "result['Parcel_Centroid'] = result['Parcel_Centroid'].apply(lambda p: tuple([p.y, p.x]))\n",
     "result['Parcel_Centroid'].head()"
@@ -15216,7 +1873,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:33.158936",
@@ -15224,23 +1881,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    (44.961482, -93.32013)\n",
-       "1    (44.961482, -93.32013)\n",
-       "2    (44.961482, -93.32013)\n",
-       "3    (44.961482, -93.32013)\n",
-       "4    (44.961482, -93.32013)\n",
-       "Name: station_coords, dtype: object"
-      ]
-     },
-     "execution_count": 62,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from shapely.geometry import Point\n",
     "\n",
@@ -15263,7 +1904,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:33.829523",
@@ -15271,23 +1912,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0    0.430469\n",
-       "1    0.430469\n",
-       "2    0.430469\n",
-       "3    0.430469\n",
-       "4    0.430469\n",
-       "Name: dist_to_station, dtype: float64"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from geopy.distance import vincenty\n",
     "\n",
@@ -15309,7 +1934,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:33.847562",
@@ -15317,18 +1942,7 @@
     },
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(2496, 61)"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# group by the PIN key, which would be duplicated for each station and take the minimum\n",
     "def get_min_rows(df, grpby, aggcol):\n",
@@ -15350,7 +1964,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2017-02-08T09:15:38.922414",

From 5753316c20c7efc53f58c9e7cf8e82008698cbfb Mon Sep 17 00:00:00 2001
From: John Hogue <dreyco676@gmail.com>
Date: Thu, 8 Jun 2017 13:04:31 -0500
Subject: [PATCH 4/4] Create README.md

---
 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index 6aea060..5225150 100644
--- a/README.md
+++ b/README.md
@@ -13,3 +13,5 @@ Use this Notebook to get a basic understanding of how to read, write, query, per
 *Social Data Science hopes you take what you learn here and use it to improve the world around you!*
 
 ## [Open the Notebook with Jupyter to get started!](Intro%20to%20Geospatial%20Data%20with%20Python.ipynb)
+
+## [Watch the YouTube Talk](https://www.youtube.com/watch?v=qvHXRuGPHl0)