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Exploratory Data Analysis (EDA) is an essential step in the data science project lifecycle. EDA is essentially used to understand what data can show beyond the conventional hypothesis testing task. It gives a better understanding of the data variables and features, along with the relationships between them. The results of an EDA help a Data Scientist learn the best way to handle data sources to get the insights you need. As technology advances, a few libraries were created to ease the process and save a lot of time.