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https://github.com/erikbavenstrand/spotify-viral-visualization

Visualizing Historical Viral 50 Spotify Data
https://github.com/erikbavenstrand/spotify-viral-visualization

data-visualization music spotify visualization

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Visualizing Historical Viral 50 Spotify Data

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README

          

# [Spotify Viral Visualization (link)](https://bavenstrand.se/Spotify-Viral-Visualization/)

> This project originates from the course DH2321 Information Visualization at KTH Royal Institute of Technology as a group project but has since then been updated by myself.

Spotify Virality Visualizer is a visualization tool used to gain insight into modern music trends on a global scale. The data used is the top 50 songs for each week and country from Spotify's viral playlists from winter 2017 to winter 2020. A viral song is a song that has a high amount of social media shares, song plays, and other web exposure in a short period. The attributes visualized are aggregated by Spotify and consists of a song's core elements.

The attributes used for the visualization tool are the following.

- **Danceability** describes how suitable a track is for dancing.
- **Energy** is a measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy.
- **Speechiness** detects the presence of spoken words in a track.
- **Acousticness** is a confidence measure whether the track is acoustic or not.
- **Instrumentalness** measures whether a track contains no vocals.
- **Livness** measure the presence of an audience in the recording.
- **Valence** is a measure of musical positiveness conveyed by a track.

## Meta

> This was a group project done for a course in information visualization at KTH.

Erik Båvenstrand – [Portfolio](https://bavenstrand.se) – erik@bavenstrand.se

Distributed under the MIT license. See `LICENSE` for more information.

[github.com/ErikBavenstrand](https://github.com/ErikBavenstrand)