Supermarket Sales Analysis: Data Cleaning and EDA in Python

A data cleaning and analysis project on supermarket transactions from three branches (Alex, Cairo, and Giza). I turned a messy 1,014-row dataset into a clean 988-row one by fixing inconsistent text, missing values, and duplicates. I then used pandas and matplotlib to analyse revenue, profit, product categories, payment methods, and customer satisfaction. Total revenue was about $314K, and Giza was the top branch.