Imagine you just got a giant spreadsheet of house prices, a database of customer purchases, or a live feed of sensor data. Before you can build any machine learning model to make predictions, you need to really know your data. Exploratory Data Analysis (EDA) is that important first step. It helps you spot patterns, catch errors, and form ideas about the data—by loading, summarizing, and visualizing it. This chapter gives you the tools to do exactly that.