Introduction
Before training any model, you look at the data. Descriptive statistics squeeze a column of numbers into a few meaningful summaries: where the values sit, how spread out they are, and whether a few extreme values are distorting the picture. Getting this right catches data bugs early and decides how you preprocess features.