Exploratory data analysis is a very important topic in the field of data analysis. It is an approach of analyzing the data and summarizing the main characteristics of the dataset. The main objective of exploratory data analysis is to check various hypotheses in order to get a better understanding about the dataset.
Exploratory data analysis includes many statistical techniques and visual and nonvisual analysis. When your study has to be communicated with peers as well as with other audience with non-data science backgrounds, it is advisable to use a lot of visual techniques that help in better communications.
Some of the expectations out of exploratory data analysis are getting insights out of the data, extracting the important variables in the dataset (depending on the problem to be solved), identifying the outliers in the data, and getting results of various testing hypotheses. These results play a very important role in how to solve the business problems...