Exploratory Data Analysis — EDA

In this lesson, we will learn Exploratory Data Analysis — EDA. We will understand how to explore a dataset, use summary statistics, distributions, outliers, missing patterns, correlations, group comparisons, and extract initial insights through practical examples. ## Lesson objective In this lesson, we will learn Exploratory Data Analysis, or EDA. In the previous lesson, we covered Data Quality and Data Cleaning. We learned missing values, duplicates, wrong data types, inconsistent categories, invalid values, outliers, data validation, and cleaning documentation. Now we will learn how to explore data after it has been cleaned.