Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA) is the process of examining and understanding a dataset before making any predictions or decisions. It involves summarizing main characteristics, visualizing patterns, spotting outliers, and identifying relationships between variables. EDA helps researchers and analysts uncover insights, detect errors, and decide on appropriate methods for further analysis. Think of it as getting to know your data—similar to building familiarity before diving into complex analysis—to ensure accurate and meaningful results.