Project 2 - EDA on Vehicle Insurance Customer Data

# PROJECT 2

Exploratory Data Analysis on Vehicle Insurance Customer Data.

This project comprises two tables, customer details, and customer policy data. We have to arrange data so that the company can decide to give discounts to specific customers for which the data scientist team chose to perform operations to get a detailed and visual view. The following data uses to make dummies for future use. Here we have made a master table by merging both of the tables and providing some important comparisons using graphs for comprehensibility and future use.

This is a simple product that requires skills in the Pandas library of Python. Here we use some basic functions of pandas such as creating tables, dropping a duplicated table, merging tables,s, and much more. Data visualization tools are used as per the requirement. We think that this project meets all the required support.

All the abnormal data or random data that is far away from the mean of a column is said to be outliers in terms of Data. So, in this case, outliers are managed by putting them with mean values. All null values are managed so that they could not disrupt the data visualization.

This project actually helps me to learn about industry-type projects. Hoping for some more projects like this in the future.