PYTHON-Project 2 - EDA on Vehicle Insurance Customer Data

Project 2 - EDA on Vehicle Insurance Customer Data

There is a task to perform an exploratory data analysis on vehicle insurance customer data. The dataset contains information about customers' demographic features, vehicle details, policy details, and claim details. The objective of the analysis is to understand the characteristics of the customers, their vehicle, and their insurance policy, and to identify patterns and insights that can inform business decisions

The EDA on Vehicle Insurance Customer Data involves exploring and analyzing a dataset related to customer demographics and their vehicle insurance policies. The following libraries may be used for this task:

1. Pandas - to read and manipulate data from the CSV file
2. Matplotlib and Seaborn - for data visualization
3. NumPy - for numerical calculations