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Analyzing Hip Hop Music using What.CD data

This all started because I went really deep into the Hypnotize Minds catalog, and I noticed that Memphis seemed to turn out a whole lot of hip hop music given its small size (small compared to NYC, LA, etc). I'm convinced DJ Paul is one of the hardest working artists out there.

Anyway, I basically wanted some analysis of the amount of hip hop music produced in each city, relative to the city population. So I used the What.CD API to obtain information on all torrents tagged "hip.hop" (75,719 releases as of October 22 2016), and I compared those data to the 2010 Census.

Anyway, these data are (i think) really interesting, so this repository will contain a bunch of analyses conducted to satisfy my curiosities.

  • [ Link ] Which city makes the most hip hop, relative to its population?
  • [ Link ] Which coast (East, West, Third?) makes the most hip hop? What does the time-line look like?
  • [ Link ] When did mixtapes become so popular?
  • [ Link ] Who is the most prolific artist in hip hop?

Some things to update:

  • Linear regression. Instead of simple ratios, show bar plot of each city's residual from the linear regression.
  • Plotly fixes: get rid of the hover toolbar. get rid of grid subplot printout.

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Jupyter analyses of What.CD hip hop torrent tags

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