Sound of Popularity

An interactive D3 story about Spotify genre fingerprints, K-pop production traits, and genre-specific popularity signals.

The app focuses on five traits throughout:

• Tempo
• Speechiness
• Danceability
• Energy
• Loudness

Data

This project combines:

• Pre-analyzed Observable summary tables in f7d11845f8925709/files/
• The Hugging Face Spotify tracks dataset at data/spotify_tracks.csv

The Spotify track file is included so the app can run from GitHub Pages without a build step or server-side data fetch.

Run Locally

python3 -m http.server 8000

Then open:

http://localhost:8000/

GitHub Pages Hosting

After this repo is pushed to GitHub:

1. Open the repository on GitHub.
2. Go to Settings.
3. Open Pages in the left sidebar.
4. Under Build and deployment, set Source to Deploy from a branch.
5. Set Branch to main and folder to / (root).
6. Click Save.
7. Wait for GitHub Pages to publish the site.

The live URL will usually be:

https://YOUR_USERNAME.github.io/sound_of_popularity/

Notes

Spotify embeds require internet access and may require a Spotify login for full playback. The app also includes Web Audio sketch buttons as quick trait-based listening cues.

Contributing

This repository is public. Anyone can fork it and open a pull request with edits. Maintainers can then review and merge those changes.

See CONTRIBUTING.md for the edit workflow.