This project explores Amazon e-commerce data using a variety of data visualizations created in R. The analysis focuses on product ratings, pricing, discounts, customer reviews, and category-level trends. Using charts such as bar plots, scatter plots, box plots, heatmaps, and interactive visualizations, the project identifies patterns in customer behavior and product performance. The goal of the project is to demonstrate how data visualization can communicate insights clearly and effectively through polished and informative graphics.