Skip to content

Latest commit

 

History

History
22 lines (17 loc) · 576 Bytes

File metadata and controls

22 lines (17 loc) · 576 Bytes

Sales Data Analysis using Pandas & NumPy

Objective

Analyze sales data to identify top-performing countries and product lines.

Tools Used

  • Python
  • Pandas
  • Matplotlib

Dataset

Sales dataset containing order, product, country, and revenue information.

Key Tasks

  • Loaded and cleaned real-world sales data
  • Handled encoding and file format issues
  • Performed country-wise and product-wise sales analysis
  • Created new features and visualized insights

Key Insights

  • Identified countries with highest total sales
  • Found best-performing product categories