E-Commerce Data Analysis with Python

Project Overview

The purpose of this project is to showcase several functions and usages of the Python libraries NumPy, Pandas, Seaborn, and Matplotlib to organize, clean, analyze, and visualize e-commerce order data. It covers data manipulation, numerical calculations, and generating visual insights of the data.

Technologies

• Python
• NumPy
• Pandas
• Seaborn
• Matplotlib

Project Features

• Calculated mean, median, min and max for quantity and prices
• Computed revenue per order and average order per region
• Identified unique products, grouped orders by customer, and analyzed order counts
• Handled data cleaning: missing values, normalization, and duplicates
• Data visualization using:
  • Line charts showing orders per day and sales over time
  • Box plots for order value comparison
  • Pie charts showing product sales distribution
  • Bar charts showing sales per region