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Customer RFM Analysis πŸš€

1K customers | 23K transactions | Python

Top 20% = 82% revenue (Pareto confirmed)

πŸ“Š

Live notebook generates:

  • Pareto 80/20
  • Segment revenue bars
  • RFM heatmap (F-M corr 0.85)
  • Recency vs Monetary scatter

Run: jupyter notebook *.ipynb

data/ contains CSVs #DataAnalytics #Python #Portfolio

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Python-based RFM (Recency, Frequency, Monetary) analysis with customer segmentation and visual insights.

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