This project performs exploratory data analysis (EDA) on an e-commerce dataset using R. It includes data cleaning, revenue analysis, customer behavior insights, product performance evaluation, time-based trend analysis, and regression modeling. Key insights include top-performing countries, high-value customers, sales trends over time, and the relationship between quantity and revenue. Visualizations and statistical techniques are used to support data-driven conclusions.