As they say, be a Data Detective first, then a Data Scientist. EDA with univariate, bivariate and multivariate techniques is a critical process of performing initial investigations on data to discover the hidden patterns, spot anomalies, test hypothesis and check assumptions using summary stats and graphical representations.
Sharing my understanding on EDA techniques using python to extract useful insights from a dataset that contains data for customers of the treadmill products of a retail store called Cardio Good Fitness.