This project delves into the analysis of transactional data from a UK-based online gift retailer. Using data cleaning, RFM (Recency, Frequency, Monetary) analysis, and K-Means clustering, I aim to uncover crucial insights into customer behavior and segmentation.
active 2023-10-07 → 2023-10-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 3 days from 2023-10-07 to 2023-10-09. Pushes: 23 total, peak 17 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: 0 total, peak 0 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 |
|---|---|---|---|---|
| 419vive | 23 | 23 | 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 — 0 stars here means stars gained during the window, not the repo's star count.