I keep a rolling playlist of my last 100 liked songs on Google Music, which also records how many plays each song gets.
I update it about once every two weeks, and songs tend to last two months before getting pushed off the bottom. Here are a couple graphs of what my current playlist looks like, click the arrows to switch back and forth.
Both graphs show the order liked on the x-axis (more recent is to the left) and the play count on the y-axis (higher is more plays). First graph is just the raw data with a 5-song moving average, and the second breaks them out by genre.
This told me a couple things I thought were interesting. First, having liked a song for longer doesn’t mean I’ve listened to it more often. I shuffle my library pretty often, so I thought I’d see a pretty linear rise in play count based on how long ago I liked them. You can pretty clearly see I listened to a lot of the same songs around the 60-80 mark, which would have been about a month and a half ago.
I like the most alt/indie-rock the most (24 songs in the last 100) but electronic/dance songs are a close second with far more play counts . My top five plays currently are:
Besides the Bleachers song, four of the five are EDM. I also liked these songs near each other, that peak in the middle around 60-80 songs includes all these tracks, meaning I probably listened to them all at the same time pretty frequently.
There was a “rising tide lifts all boats” effect going on here. Songs of other genres that I liked around the same time as the top played also top their respective categories, I liked Marry Song – Band of Horses right after Closer by the Chainsmokers, and it’s my most listened to track outside of EDM/pop. Don’t get me wrong I love the song, but if it wasn’t right next to my other most played song I doubt it would have gotten so many plays.
That’s it for this time, I want to do the same analysis when the most recent liked song Sit Still Look Pretty (Daya) gets pushed off the bottom.