Project 2 - EDA on Vehicle Insurance Customer Data

I have cleaned null values, outliers, white spaces, duplicate rows

I have done case correction and dummy columns for categorical columns

I have merged that two tables and analyzed to find average of annual premium and correlation

I have learned many new things. few things from that:

if df[col].nunique() <= 2: # Skip binary columns

customer_policy.reset_index(drop=True)