Simulated Multi-Channel E-Commerce Transactions and Payment Behaviors

A simulated dataset of 250,000 e-commerce transactions and associated payment gateway behaviors. The data is synthetic and was sourced from Kaggle. The author, organization, and specific creation date are unknown.

Use Cases

• Train fraud detection models based on simulated payment gateway behaviors.
• Analyze transaction patterns across multiple e-commerce channels.
• Benchmark recommendation algorithms using simulated purchase history.
• Test payment processing and checkout flow simulations.

Strengths

• Contains 250,000 simulated transaction records, providing a substantial volume for analysis.
• Covers both e-commerce transactions and payment gateway behaviors, suggesting multiple related data facets.

Limitations

• Data is simulated, which may not reflect real-world distributions or complexities.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kaggle

Collection Method

Simulated/generated data