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Discogs Collection Statistics

An exploration of the most collected and want-listed records on Discogs.

See a live version on Lazily Evaluated.

Running Locally

Gather the data - Python

Run collection-stats script with relevant api keys and user agent info as environment variables (Discogs and MusicBrainz credentials needed)
The relevant data will be saved to data and output
This can take a while.

Run the Front End

Run yarn install and npm start
The project should be viewable at http://localhost:8080/