Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ngangawairimu/music-trends-on-spotify-a-data-exploration-of-top-tracks
This project analyzes Spotify’s top tracks dataset, exploring trends in musical features, artist popularity, genre distribution, and correlations between various song attributes.
https://github.com/ngangawairimu/music-trends-on-spotify-a-data-exploration-of-top-tracks
correlation-analysis data-visualization explanatory-data-analysis pandas seaborn statistical-analysis
Last synced: about 1 month ago
JSON representation
This project analyzes Spotify’s top tracks dataset, exploring trends in musical features, artist popularity, genre distribution, and correlations between various song attributes.
- Host: GitHub
- URL: https://github.com/ngangawairimu/music-trends-on-spotify-a-data-exploration-of-top-tracks
- Owner: ngangawairimu
- Created: 2024-11-20T10:38:41.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2024-11-20T10:41:55.000Z (about 1 month ago)
- Last Synced: 2024-11-20T12:13:25.709Z (about 1 month ago)
- Topics: correlation-analysis, data-visualization, explanatory-data-analysis, pandas, seaborn, statistical-analysis
- Language: Python
- Homepage: https://colab.research.google.com/drive/1PnLyW-u6EFHejAnRp8ZxZ8PA3G6yqW_H
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md