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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>
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![](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. 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.
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