Professional E-Commerce & Revenue Analysis Dataset (1,000+ Rows)

Elevate your data analysis portfolio with this comprehensive, high-quality retail dataset. Designed to mimic a real-world e-commerce environment, this Excel workbook is perfect for practicing SQL, Power BI, Tableau, or Python.

What’s inside:

• 1,000+ Structured Rows: Clean, ready-to-use data in .xlsx format.
• Key Business Metrics: Includes Order IDs, localized Payment Methods (including Mobile Money and Payhip), Product Categories, and Customer Ratings.
• Pre-Built Summaries: Includes specific sheets for Monthly Trends and Category Performance to jumpstart your visualizations.
• Global Market Context: Features realistic regional data and discount impact tracking.

Perfect for data science students and professionals looking for "dirty" but structured data to demonstrate their cleaning and modeling skills.

Complete E-Commerce Sales & Digital Revenue Master File. Stop wasting time looking for generic datasets. This master file provides a deep dive into modern retail operations, blending physical product sales with digital delivery tracking.

Key Features:

• Integrated Payhip Data: Includes specialized columns for digital downloads and affiliate tracking.
• Financial Granularity: Detailed breakdowns of Unit Pricing, Discounts, and Total Sales across four geographic regions.
• Analysis Ready: Categorized data across Electronics, Fashion, Beauty, and more.
• Versatile: Use it for revenue forecasting, customer behavior analysis, or practice for your ACCA/CPA financial reporting projects.