The project aims to analyze the data from a music store to gain insights into sales, customer behavior, and the performance of different products (like albums, artists, genres). Data Source: The data comes from the store's database, which includes tables like Customers, Invoices, InvoiceItems, Tracks, Albums, Artists, and Genres. Tasks:
active 2024-07-20 → 2024-07-20 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-07-20 to 2024-07-20. Pushes: 8 total, peak 8 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 |
|---|---|---|---|---|
| 0sar-44 | 8 | 8 | 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.