Chapter 3: EDA Feature Engineering

 

 

3.1: Introduction

Exploratory data analysis (EDA) can help us uncover hidden patterns in the data. We can in turn represent the discovered patterns into features in the dataset. In order to do this, we should approach any type of EDA with 3 questions. What, So what, and now what.

1) What do the patterns in this visualization say?

2) So, what does this pattern say about my problem statement and how it can affect my problem statement?

3) Now what should I do to inculcate the patterns discovered during EDA? Should I include this information as a new feature or should I perform data cleaning?

Let's take a look at our datasets.