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Project on Exploratory Data Analysis in Python

Exploratory Data Analysis refers to the critical process of performing initial investigations on data so as to discover patterns,to spot anomalies,to test hypothesis and to check assumptions with the help of summary statistics and graphical representations.

Exploratory Data Analysis does two main things:

  1. It helps clean up a dataset.
  2. It gives you a better understanding of the variables and the relationships between them.

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#Components of EDA
To me, there are main components of exploring data:
Understanding your variables
Cleaning your dataset
Analyzing relationships between variables

Information about the data set this data contains more of 10, 000 rows and more than 10 columns which contains features of the car such as Engine Fuel Type, Engine HP, Transmission Type, highway MPG, city MPG and many more.

The data-set can be downloaded from here.

#1st step : Importing the Required Libraries