This project centers on leveraging RFM (Recency, Frequency, Monetary) analysis to categorize customers based on their purchasing behaviors. By analyzing how recently customers made a purchase (Recency), how often they buy (Frequency), and how much they spend (Monetary), this model enables businesses to identify distinct customer segments.
active 2024-10-08 → 2025-03-10 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 154 days from 2024-10-08 to 2025-03-10. Pushes: 13 total, peak 10 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| walethewave | 13 | 13 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.