The following project consists of an 8-figure report using Seaborn, Matplotlib, and Plotly to answer questions about the top songs, artists, and genres, of 2023 with data from Spotify and analyzes changes in audio features and genre popularity over 10 decades using data on the top 2000 songs of all time.
active 2025-01-06 → 2025-01-06 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-06 to 2025-01-06. Pushes: 5 total, peak 5 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 |
|---|---|---|---|---|
| nmtubia | 5 | 5 | 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.