Introduction Exploratory Data Analysis (EDA) is a critical step in any data analysis process. It involves understanding the data, discovering patterns, identifying anomalies, and formulating hypotheses that can drive further analysis. This README provides a guideline for performing EDA on various data sets. Tools for EDA Python: Pandas, NumPy, Matplotlib, Seaborn.