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Copyright (c) 2016 - 2019

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<span style ="color:#E57932">Level:</span> Intermediate <br/>
<span style ="color:#E57932">Recommended Use:</span>** Regression Models<br/>
<span style ="color:#E57932">Domain:</span>** Automobiles<br/> 

## <span style="color:#15A3D8">Auto MPG Data Set</span> 
### <span style="color:#15A3D8">Can you predict the fuel-efficieny of a car?</span> 


![](tim-mossholder-680992-unsplash.jpg)

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This *intermediate* level data set has 398 rows and 9 columns and provides mileage, horsepower, model year, and other technical specifications for cars. This data set is recommended for learning and practicing your skills in **exploratory data analysis**, **data visualization**, and **regression modelling techniques**. Feel free to explore the data set with multiple **supervised** and **unsupervised** learning techniques. The Following data dictionary gives more details on this data set: 

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### <span style="color:#15A3D8">Data Dictionary</span> 



|*Column Position* |*Attribute Name*  |*Description*                                             |*Examples*               |*Attribute Type*   | *Nulls Ratio* |
|------------------|------------------|----------------------------------------------------------|-------------------------|-------------------|---------------|
|     #1           |   mpg            |  fuel efficiency measured in miles per gallon (mpg)      | 9.0, 13.0, 41.5         | quantitative      | 0%            |
|     #2           |   cylinders      |  number of cylinders in the engine                       | 3, 4, 8                 | qualitative       | 0%            |    
|     #3           |   displacement   |  engine displacement (in cubic inches)                   | 68.0, 112.0, 455.0      | quantitative      | 0%            |  
|     #4           |   horsepower     |  engine horsepower                                       | 46.0, 70.0, 230.0       | quantitative      | 2%            |
|     #5           |   weight         |  vehicle weight (in pounds)                              | 1613, 3615, 5140        | quantitative      | 0%            |
|     #6           |   acceleration   |  time to accelerate from O to 60 mph (in seconds)        | 8.00, 15.50, 24.80      | quantitative      | 0%            |
|     #7           |   model year     |  model year                                              | 73, 79, 82              | qualitative       | 0%            |
|     #8           |   origin         |  origin of car (1: American, 2: European, 3: Japanese)   | 1, 2, 3                 | qualitative       | 0%            |
|     #9           |   car name       |  car name                                                | audi fox, subaru        | qualitative       | 0%            |



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### <span style="color:#15A3D8">Acknowledgement</span>


This data set has been sourced from the Machine Learning Repository of University of California, Irvine [Auto MPG Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/auto+mpg). The UCI page mentions [StatLib (Carnegie Mellon University)](http://lib.stat.cmu.edu/datasets/) as the original source of the data set.  