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@tabrez
Created December 19, 2017 16:13
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Exercise_Alcohol.ipynb
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{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "# Alcohol consumption"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Step 1. Import the necessary libraries"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Step 2. Import the dataset from this [address](https://raw.githubusercontent.com/justmarkham/DAT8/master/data/drinks.csv). "
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Step 3. Assign it to a variable called drinks."
},
{
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"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Step 4. Which continent drinks more beer on average?"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Step 5. For each continent print the statistics for wine consumption."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Step 6. Print the mean alcohol consumption per continent for every column"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Step 7. Print the median alcohol consumption per continent for every column"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "### Step 8. Print the mean, min and max values for spirit consumption for each continent\n#### Output as a DataFrame"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
}
],
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