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"# Student Alcohol Consumption"
]
},
{
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"metadata": {},
"source": [
"### Introduction:\n",
"\n",
"This time you will download a dataset from the UCI.\n",
"\n",
"### Step 1. Import the necessary libraries"
]
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"### Step 2. Import the dataset from this [address](https://github.com/guipsamora/pandas_exercises/blob/master/04_Apply/Students_Alcohol_Consumption/student-mat.csv)."
]
},
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"### Step 3. Assign it to a variable called df."
]
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"### Step 4. For the purpose of this exercise slice the dataframe from 'school' until the 'guardian' column"
]
},
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"execution_count": null,
"metadata": {
"collapsed": false
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"outputs": [],
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"cell_type": "markdown",
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"source": [
"### Step 5. Create a lambda function that captalize strings."
]
},
{
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"execution_count": null,
"metadata": {
"collapsed": false
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"outputs": [],
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{
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"### Step 6. Capitalize both Mjob and Fjob"
]
},
{
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"execution_count": null,
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"collapsed": false
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"outputs": [],
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"cell_type": "markdown",
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"### Step 7. Print the last elements of the data set."
]
},
{
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 8. Did you notice the original dataframe is still lowercase? Why is that? Fix it and captalize Mjob and Fjob."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
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"outputs": [],
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{
"cell_type": "markdown",
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"source": [
"### Step 9. Create a function called majority that return a boolean value to a new column called legal_drinker"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
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"execution_count": null,
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 10. Multiply every number of the dataset by 10. \n",
"##### I know this makes no sense, don't forget it is just an exercise"
]
},
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"execution_count": null,
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