You know what I hate? Annual reviews that are published even before December (looking at you, Spotify Wrapped)! What’s the point of summing up the year with (sometimes less than) approx. 90% of the data? So, with things being what they are, we might have to come up with our own annual reviews. In this case, I want to use my Last.fm listening history for 2023.
I have pre-compiled all the so-called “scrobbles” (plays of one track) via Last.
I really like ridgeline plots but only recently I have learned how to do them myself. Of course, the most famous ridgeline plot ever is the one you find on the cover of Joy Division’s album “Unknown Pleasures”. I wonder how many ridgeline plots done with the {ggridges} package try to replicate the look of this famous (and great!) album. And - of course - I will try, too.
Previously, when Rcrastinate was still on blogspot.com, I had a first look at ten years of my playback history on Last.FM. But there is still a lot one can do with this dataset. I wanted to try {gganimate} for a long time and this nice longitudinal dataset gives me the opportunity.
Loading and preparing the data First, I am loading the dataset. I already did some preparations like extracting the top five tags for each track and some other stuff I used in my previous entry.
