Project 2 - EDA on Vehicle Insurance Customer Data

I Have done the project on EDA on Vehicle Insurance Customer Data

process:

Download the data from given source and imported the data into Jupyter using pandas and numpy and matplotlib,Andadded the columns for both tables by given in the question,And count the null values  and drop the null  values by taking colum_id refferance column

fill the null values places with mean,mode in each column after that find out the outliers and replaced all outlier values, for numeric columns by mean,remove the white spaces with using strip(),and drop duplicates values and created a  master_table by merginng of two tables with help of merge function and find the average of annual premium group by gender with help of mean() same process done on age,vehicle age,finally find the age realtion age and annual premium.