This dataset captures detailed information about customer purchase transactions, focusing on demographics, buying behavior, and payment preferences.
With 500 records and 10 features, it is well-suited for customer analysis, behavioral insights, and supervised machine learning tasks.

• Customer-Centric Information
  Includes age, gender, location, and returning customer status to analyze user behavior.
• Transaction Details
  Covers product category, purchase amount, payment method, and purchase date.
• Multi-Type Features
  Combines numerical, categorical, and temporal data for diverse analytical approaches.
• Machine Learning Ready
  Useful for:
  • Customer segmentation
  • Predicting returning customers
  • Sales and revenue analysis
  • Pattern discovery in purchasing behavior
• Practical & Educational Use
  Ideal for:
  • Exploratory Data Analysis (EDA)
  • Feature engineering practice
  • Real-world business analytics scenarios