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{
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{
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"# MPG Cars"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Introduction:\n",
"\n",
"The following exercise utilizes data from [UC Irvine Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Auto+MPG)\n",
"\n",
"### Step 1. Import the necessary libraries"
]
},
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"source": [
"### Step 2. Import the first dataset [cars1](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Merge/Auto_MPG/cars1.csv) and [cars2](https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/Merge/Auto_MPG/cars2.csv). "
]
},
{
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"metadata": {},
"source": [
" ### Step 3. Assign each to a variable called cars1 and cars2"
]
},
{
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{
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"### Step 4. Ops it seems our first dataset has some unnamed blank columns, fix cars1"
]
},
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{
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"source": [
"### Step 5. What is the number of observations in each dataset?"
]
},
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{
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"source": [
"### Step 6. Join cars1 and cars2 into a single DataFrame called cars"
]
},
{
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{
"cell_type": "markdown",
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"### Step 7. Ops there is a column missing, called owners. Create a random number Series from 15,000 to 73,000."
]
},
{
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"execution_count": null,
"metadata": {
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 8. Add the column owners to cars"
]
},
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"execution_count": null,
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"collapsed": false
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