Data Science Dojo <br/>
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, fiat 128, 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. Further, the [Auto MPG Data Set (UC Irvine)](https://archive.ics.uci.edu/ml/datasets/auto+mpg) page, mentions [StatLib (Carnegie Mellon University)](http://lib.stat.cmu.edu/datasets/) as the source of the data set. 