My report

This project explores an insurance dataset using R. We analyze factors like Age, Premium Amount, Credit Score, Claims Frequency, and Region through visualizations (bar charts, boxplots, pie charts, line charts) and statistical tests (regression and ANOVA). Key insights about premium trends, customer demographics, and claims behavior are presented using ggplot2 and dplyr.

This dataset contains information about used cars, including attributes like brand, model, year of manufacture, mileage, fuel type, transmission type, and selling price. It is useful for analyzing factors affecting car prices and building predictive models for price estimation.