|
@@ -6,7 +6,7 @@
|
|
|
"collapsed": true
|
|
|
},
|
|
|
"source": [
|
|
|
- "# Introduction to the data"
|
|
|
+ "# Introduction to the Data"
|
|
|
]
|
|
|
},
|
|
|
{
|
|
@@ -26,7 +26,7 @@
|
|
|
"cell_type": "markdown",
|
|
|
"metadata": {},
|
|
|
"source": [
|
|
|
- "# Filtering the data"
|
|
|
+ "# Filtering the Data"
|
|
|
]
|
|
|
},
|
|
|
{
|
|
@@ -48,7 +48,7 @@
|
|
|
"cell_type": "markdown",
|
|
|
"metadata": {},
|
|
|
"source": [
|
|
|
- "# Cleaning up the Won? and Unnamed columns"
|
|
|
+ "# Cleaning up the Won? and Unnamed Columns"
|
|
|
]
|
|
|
},
|
|
|
{
|
|
@@ -70,7 +70,7 @@
|
|
|
"cell_type": "markdown",
|
|
|
"metadata": {},
|
|
|
"source": [
|
|
|
- "# Cleaning up the Additional Info column"
|
|
|
+ "# Cleaning up the Additional Info Column"
|
|
|
]
|
|
|
},
|
|
|
{
|
|
@@ -150,9 +150,9 @@
|
|
|
"name": "python",
|
|
|
"nbconvert_exporter": "python",
|
|
|
"pygments_lexer": "ipython3",
|
|
|
- "version": "3.5.0"
|
|
|
+ "version": "3.8.5"
|
|
|
}
|
|
|
},
|
|
|
"nbformat": 4,
|
|
|
- "nbformat_minor": 0
|
|
|
+ "nbformat_minor": 1
|
|
|
}
|