https://github.com/airdipu/gendergap

This is a project of Computational Social Science of music industry to see the gap of Gender depending on income, releases, booking of venue, work history and so on.
https://github.com/airdipu/gendergap

crawled-data evaluation musicbrainz partyflock python

Last synced: 6 days ago
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This is a project of Computational Social Science of music industry to see the gap of Gender depending on income, releases, booking of venue, work history and so on.

• Host: GitHub
• URL: https://github.com/airdipu/gendergap
• Owner: airdipu
• Created: 2019-07-22T21:52:58.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-07-24T12:14:18.000Z (over 5 years ago)
• Last Synced: 2023-09-07T10:58:14.885Z (about 1 year ago)
• Topics: crawled-data, evaluation, musicbrainz, partyflock, python
• Language: Jupyter Notebook
• Homepage:
• Size: 58.8 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# GenderGap

List of crawled data: 


[crawled data from Partyflock](data/PF/PF_artists_combined_translated.csv) 


[crawled data from MusicBrainz](data/MB/MB_artist_page_urls.tsv) 


[release info plus genders ](data/releases_merged_gender.tsv) 


Release file containing sum:


[file in csv format](data/Cleaned%20Data/releases_merged_ready.csv) 


[file in xlsx format](data/Cleaned%20Data/releases_merged_ready.xlsx) 


Evaluation file:


[Evaluation of 500 artists](data/Evaluation/MB_500_artists.xlsx)

[binder link](https://mybinder.org/v2/gh/polando/GenderGap/master)