Sales Data Analysis Using Python and Data Visualization

This project involves analyzing sales data using Python. The data was processed using the Pandas library, and visualized using Matplotlib and Seaborn.

The work includes loading the dataset, cleaning missing values, and performing analysis to extract insights such as top-selling categories and profit distribution by category.

The goal of this project is to transform raw data into meaningful insights that support data-driven decision making.