This project comprises a collection of SQL queries using the Sakila database, addressing diverse scenarios such as customer data analysis, movie rental insights, actor statistics, and store profitability, providing a comprehensive resource for learning and practicing SQL skills.
active 2023-12-30 → 2023-12-30 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-12-30 to 2023-12-30. Pushes: 19 total, peak 19 in a day. Pull requests: 2 total, peak 2 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 |
|---|---|---|---|---|
| DominionAkinrotimi | 21 | 19 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
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.