Statistical Methods In EDA

Exploratory Data Analysis (EDA) is utilized to analyze datasets to uncover patterns, anomalies, and relationships. This post explains three fundamental statistical methods used in EDA: Hypothesis Testing, Chi Square Test of Independence, and Pearson Correlation. Hypothesis Testing examines if the sample data supports a general statement about a population. The Chi Square Test assesses the association between two categorical variables. Pearson Correlation measures the linear relationship between two continuous variables. Examples and Python code snippets illustrate each method.