Merge pull request guipsamora#4 from jeffcarey/master

Fixed typos

Author: guipsamora

01_Getting_&_Knowing_Your_Data/Chipotle/Exercise_with_Solutions.ipynb

@@ -495,7 +495,7 @@
     "# create a list of prices\n",
     "prices = [float(value[1:-1]) for value in chipo.item_price] # strip the dollar sign and trailing space\n",
     "\n",
-    "total = sum(prices) #sum the itens\n",
+    "total = sum(prices) #sum the items\n",
     "\n",
     "\n",
     "print(\"The revenue of the period was: \" + \"${0:.2f}\".format(total))"
@@ -563,7 +563,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 16 How many different itens are sold?"
+    "### Step 16 How many different items are sold?"
    ]
   },
   {

01_Getting_&_Knowing_Your_Data/Chipotle/Exercises.ipynb

@@ -245,7 +245,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 16. How many different itens are sold?"
+    "### Step 16. How many different items are sold?"
    ]
   },
   {

01_Getting_&_Knowing_Your_Data/Chipotle/Solutions.ipynb

@@ -516,7 +516,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 16 How many different itens are sold?"
+    "### Step 16 How many different items are sold?"
    ]
   },
   {

04_Apply/US_Crime_Rates/Exercises_with_solutions.ipynb

@@ -897,7 +897,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 16. How many different itens are sold?"
+    "### Step 16. How many different items are sold?"
    ]
   },
   {

07_Visualization/Chipotle/Exercise_with_Solutions.ipynb

@@ -214,7 +214,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 5. Create a histogram of the top 5 itens bought"
+    "### Step 5. Create a histogram of the top 5 items bought"
    ]
   },
   {
@@ -245,16 +245,16 @@
     "# convert the dictionary to a DataFrame\n",
     "df = pd.DataFrame.from_dict(letter_counts, orient='index')\n",
     "\n",
-    "# sort the values from the top to the least value and slice the first 5 itens\n",
+    "# sort the values from the top to the least value and slice the first 5 items\n",
     "df = df[0].sort_values(ascending = True)[45:50]\n",
     "\n",
     "# create the plot\n",
     "df.plot(kind='bar')\n",
     "\n",
     "# Set the title and labels\n",
-    "plt.xlabel('Itens')\n",
+    "plt.xlabel('Items')\n",
     "plt.ylabel('Price')\n",
-    "plt.title('Most ordered Chipotle\\'s Itens')\n",
+    "plt.title('Most ordered Chipotle\\'s Items')\n",
     "\n",
     "# show the plot\n",
     "plt.show()"
@@ -264,8 +264,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 6. Create a scatterplot with the number of itens orderered per order price\n",
-    "#### Hint: Price should be in the X-axis and Itens ordered in the Y-axis"
+    "### Step 6. Create a scatterplot with the number of items orderered per order price\n",
+    "#### Hint: Price should be in the X-axis and Items ordered in the Y-axis"
    ]
   },
   {
@@ -309,8 +309,8 @@
     "\n",
     "# Set the title and labels\n",
     "plt.xlabel('Order Price')\n",
-    "plt.ylabel('Itens ordered')\n",
-    "plt.title('Number of itens ordered per order price')\n",
+    "plt.ylabel('Items ordered')\n",
+    "plt.title('Number of items ordered per order price')\n",
     "plt.ylim(0)"
    ]
   },

07_Visualization/Chipotle/Exercises.ipynb

@@ -77,7 +77,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 5. Create a histogram of the top 5 itens bought"
+    "### Step 5. Create a histogram of the top 5 items bought"
    ]
   },
   {
@@ -93,8 +93,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 6. Create a scatterplot with the number of itens orderered per order price\n",
-    "#### Hint: Price should be in the X-axis and Itens ordered in the Y-axis"
+    "### Step 6. Create a scatterplot with the number of items orderered per order price\n",
+    "#### Hint: Price should be in the X-axis and Items ordered in the Y-axis"
    ]
   },
   {

07_Visualization/Chipotle/Solutions.ipynb

@@ -208,7 +208,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 5. Create a histogram of the top 5 itens bought"
+    "### Step 5. Create a histogram of the top 5 items bought"
    ]
   },
   {
@@ -235,8 +235,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 6. Create a scatterplot with the number of itens orderered per order price\n",
-    "#### Hint: Price should be in the X-axis and Itens ordered in the Y-axis"
+    "### Step 6. Create a scatterplot with the number of items orderered per order price\n",
+    "#### Hint: Price should be in the X-axis and Items ordered in the Y-axis"
    ]
   },
   {

07_Visualization/Titanic_Desaster/Exercises_code_with_solutions.ipynb

@@ -525,7 +525,7 @@
     }
    ],
    "source": [
-    "# sort the values from the top to the least value and slice the first 5 itens\n",
+    "# sort the values from the top to the least value and slice the first 5 items\n",
     "df = titanic.Fare.sort_values(ascending = False)\n",
     "df\n",
     "\n",