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Customers Purchase Pattrens

@kaggle.rehanliaqat17_costumers_behaviour

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A Transaction-Level Dataset for Customer Behavior Analysis

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

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