Exploratory Data Analysis (EDA) is the essential first step in any data project, used to understand a dataset's structure, detect anomalies, and uncover patterns before applying formal modeling. This guide provides a framework for performing a thorough EDA.
These tutorials provide comprehensive walkthroughs on performing EDA using Python and industry-standard frameworks: Watch aFET EDA