Anomaly detection dataset (labeled)

A realistic dataset with a small, labeled fraction of injected outliers — ideal for practicing anomaly detection and evaluating detectors against ground truth.

E-commerceSeeded - reproducibleCSV + Excel100% in-browser

Generate & download

Save / load scenario (stored only in this browser)

Good for

Anomaly detectionOutlier analysisImbalanced MLDetector benchmarking

Why this dataset is realistic

Shoppers carry RFM-style segments that set purchase frequency and behavior, and demand flows through a seasonality curve with weekend lifts and a Q4 holiday peak — so RFM, cohort, attribution, and seasonality analysis all return meaningful results.

Need to change the size, seed, or columns? Open the full E-commerce generator to customize and re-export. Want the same data as everyone else? This page uses a fixed seed, so the download is identical every time.

Related sample datasets

E-commerce fraud dataset (labeled)Retail fraud detection dataset (labeled)Sample data for machine learning

FAQ

Is the data real?

No - it's 100% synthetic and generated in your browser. It contains no real people or companies and is free to use commercially.

Will I get the same file each time?

Yes. This page fixes the seed, so the dataset is reproducible. Clear the seed in the generator above for fresh random data.