EDA is one of the many steps in any data science project, from business and data discovery to model building and scoring. EDA forms an integral part of building a machine learning model.

Data scientists spend about 60–70% of their time in a project working through the data cleaning phase to feature engineering. And roughly 40–50% of that time is spent in EDA.