E-Commerce-Analysis

1. Cleaned and prepared data using Pandas (Python), calculated average product prices, and identified top-selling products.
2. Analyzed and visualized sales trends by month and day using line plots with Matplotlib (Python).
3. Investigated customer purchasing behaviors, including distribution of purchases per customer and identifying repeat buyers.
4. Examined payment methods and their correlation with total spending, visualized with bar charts using Matplotlib (Python).
5. Analyzed delivery performance, including the percentage of late deliveries and patterns of delays for specific products, visualized with pie charts using Matplotlib (Python).