SuperMarket Sales Analysis

Supermarket Sales Analysis with Python This project explores and analyzes a real-world supermarket sales dataset using Python, Pandas, and Matplotlib. It provides insights into sales performance, customer behavior, and product trends across different branches, payment methods, and customer types.

Key Features: Data cleaning and preprocessing

Time-based analysis using DateTime

Visualization of sales trends over time

Top 3 best-selling product lines

Customer behavior breakdown (Member vs Normal)

Gross income and gross margin exploration

Payment method preferences and product line performance

Technologies Used: Python

Pandas

Matplotlib

Kaggle Notebook

Sample Insights: Members generate higher revenue than normal customers.

The "Food and beverages" line is among the top-selling categories.

Cash is the most preferred payment method.