Auto-mpg Dataset

Context

The data is technical spec of cars. The dataset is downloaded from UCI Machine Learning Repository

Content

1. Title: Auto-Mpg Data

2. Sources:
   (a) Origin: This dataset was taken from the StatLib library which is
   maintained at Carnegie Mellon University. The dataset was
   used in the 1983 American Statistical Association Exposition.
   (c) Date: July 7, 1993

3. Past Usage:

   • See 2b (above)
   • Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning.
     In Proceedings on the Tenth International Conference of Machine
     Learning, 236-243, University of Massachusetts, Amherst. Morgan
     Kaufmann.

4. Relevant Information:

   This dataset is a slightly modified version of the dataset provided in
   the StatLib library. In line with the use by Ross Quinlan (1993) in
   predicting the attribute "mpg", 8 of the original instances were removed
   because they had unknown values for the "mpg" attribute. The original
   dataset is available in the file "auto-mpg.data-original".

   "The data concerns city-cycle fuel consumption in miles per gallon,
   to be predicted in terms of 3 multivalued discrete and 5 continuous
   attributes." (Quinlan, 1993)

5. Number of Instances: 398

6. Number of Attributes: 9 including the class attribute

7. Attribute Information:

   1. mpg: continuous
   2. cylinders: multi-valued discrete
   3. displacement: continuous
   4. horsepower: continuous
   5. weight: continuous
   6. acceleration: continuous
   7. model year: multi-valued discrete
   8. origin: multi-valued discrete
   9. car name: string (unique for each instance)

8. Missing Attribute Values: horsepower has 6 missing values

Acknowledgements

Dataset: UCI Machine Learning Repository
Data link : https://archive.ics.uci.edu/ml/datasets/auto+mpg

Inspiration

I have used this dataset for practicing my exploratory analysis skills.