you will download a publicly available data set and develop some classes that will be useful in working with the data.

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Overview

In this assignment, you will download a publicly available data set and develop some classes that will be useful in working with the data. The data set contains information about fuel efficiency for some different automobiles.

Please follow the steps outlined below.

Preparation

Review the links below that describe the AutoMPG data set that is part of the UCI Machine Learning Repository. This data set consists of 398 records each having nine attributes. Please download the data and save it in a file called auto-mpg.data.txt.

https://archive.ics.uci.edu/ml/datasets/Auto+MPG

https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.names

Please create a new Python module in a file autompg.py, taking care to set it up to be useful both as a module and as a program. Also create a unittestt testcase skeleton in test_autompg.py.

Step 1: AutoMPG class

In autompg.py implement a class that represents these attributes that are available for each record in the data set:

⚫ make - String. Automobile manufacturer. First token in the "car name" field of the data set.

⚫ model - String. Automobile model. All the other tokens in the "car name" field of the data set except the first.

⚫ year - Integer. Automobile year of manufacturer. This is the four-digit year that corresponds to the "model year" field of the data set.

⚫ mpg - Floag. Miles per gallon. This is a floating point value that corresponds to the "mpg" field of the data set.

This class should implement the following methods:

__init__ - Constructor that takes four parameters after self and initializes the attributes described above.

__repr___ and ___str___- Returns the string representation of the object. One of these can call the other one.

 

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