This project offers an in-depth analysis of unemployment trends using Python. Explore data visualization, statistical insights, and predictive modeling to better understand the dynamics of unemployment. Ideal for data enthusiasts and aspiring analysts.
active 2023-11-28 → 2025-02-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 436 days from 2023-11-28 to 2025-02-05. Pushes: 1 total, peak 1 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 |
|---|---|---|---|---|
| Apaulgithub | 1 | 1 | 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.