Exploratory Data Analysis (EDA) is a vital process that helps in comprehending the structure and traits of datasets. It enables us to identify any missing values, outliers, and anomalies, analyze the distribution of features and their relationships, and detect patterns and correlations for Predictive Modeling. Based on the analysis, We can provide recommendations and a quantitative assessment of feature impact on the output.