[We'd like to thank Phish nerd extraordinaire, Maya Gans (@WindoraBug on .net, @mayacelium on Twitter), for writing this post and sharing the phishr library that she wrote with Sam Levin (@levisc8 on .net, @SamLevin5 on Twitter) with the community - ed.]
When I tell people I meet outside of the scene that I’m a Phish fan it’s always met with a certain look - you know the one. But this always makes me laugh because one of the reasons I love Phish so much is how they provide one of the richest data sets to adoring fans. I love when folks who say they hate math or statistics end up rattling off their most seen songs, largest song gaps they need to close, or provide feedback on graphs I put up on Twitter.
Phish fans love data, and for that reason Sam Levin and I created the R package phishr. You can request an API Key here and our packages have a handful of functions that help do the heavy lifting.
# load the libraries
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