In this mini project you will dive into the world of SQL through creating and populating a database of your own and then extracting meaningful insights through SQL using queries and Python visualization techniques. You will use the Harry Potter dataset and an API to gather data for the project.
active 2024-05-24 → 2024-05-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 5 days from 2024-05-24 to 2024-05-28. Pushes: 13 total, peak 11 in a day. Pull requests: 9 total, peak 5 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 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 |
|---|---|---|---|---|
| DmanDSR | 13 | 11 | 1 | 1 |
| advidical | 4 | 1 | 3 | 0 |
| mwilfer8888 | 4 | 1 | 3 | 0 |
| medirose | 2 | 0 | 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.