Introduction

What is Exploratory Data Analysis?

Exploratory Data Analysis (EDA) is the process of analyzing datasets with the aim of understanding them more deeply. As the term “exploratory” suggests, during EDA the focus is to explore or understand the data better. We try to make sense of the data in the context of our problem.

During EDA, we can do any kind of analysis that gives us some insight into our data. Some of the common practices in EDA are:

• Looking at the data types of the variables
• Identifying the most important variables
• Looking at the distributions of the variables
• Summarizing the data
• Finding biases in the data
• Looking at the different trends in data
• Studying relationships among quantities
• Spotting anomalies in the data
• Visualizing the data