Superstore Sales Analysis - Python and Pandas

Performed exploratory data analysis on 9,994 rows of retail sales data using Python and Pandas. Analyzed sales and profit by region, category, and sub-category. Discovered that Tables and Bookcases generate negative profit despite reasonable sales volume, and that heavy discounting (30%+) consistently produces losses