Project 2 - EDA on Vehicle Insurance Customer Data

Project 2 involves performing Exploratory Data Analysis (EDA) on a dataset containing information about customers who have purchased vehicle insurance. The dataset will be loaded into a pandas dataframe and analyzed using Python libraries such as NumPy and Pandas.

The EDA process will involve cleaning the data, handling missing values, removing duplicates, identifying outliers, and visualizing the data using various charts and graphs. The analysis will include identifying the characteristics of customers who are more likely to purchase insurance, such as their age, gender, driving experience, etc.

Throughout the project, the focus is on using pandas and NumPy to manipulate and analyze the data, as these libraries are powerful tools for data analysis and manipulation in Python.