Project 2 - EDA on Vehicle Insurance Customer Data

This project utilizes Pandas to load, clean, and analyze customer and policy data. It covers tasks such as adding column names, handling null values, outliers, white spaces, and duplicates. The creation of a master table through merging and the extraction of key insights, including gender-wise and age-wise average annual premiums, data balance check, and correlation analysis, demonstrates a comprehensive approach to data preparation and exploration.