Process and Purpose

What is Exploratory Analysis?

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Exploratory Data Analysis refers to the critical process of performing initial investigations on data so as to discover patterns, to spot anomalies, to test hypothesis and to check assumptions with the help of summary statistics and graphical representations. 

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EDA explores and analyzes data sets for relationships before making assumptions. Findings can expose outliers and differences between groups. The process of EDA allows for machine learning and predictive modeling.