![]() ![]() ![]() After trying a couple of services I settled for a nice python script which you can get here. Since I wanted to get at my data as quickly as possible, I went for the latter approach. You can either program against the API yourself or use somebody else’s code to pull the data into a CSV or another readable format. One way or another you need to use the API to download your scrobbles one page at a time. Unfortunately there’s no easy official method to download your entire dataset of scrobbles. If you’re not, this will not make sense and I suggest you start elsewhere. Keep in mind that I assume you know how to code in R and are familiar with packages like dplyr, jsonlite, and ggplot2. I’ve collected quite a bit of data in the last 11 years so I decided to visualize my music habits in the last decade and see what I can learn about it.įor non-developers: If you’re not interested in coding just scroll past the code snippets and look at the nice plots and the accompanying explanation.įor developers: Check out the github repository for the project 1. Think of it like a “have read” book list for your music, except that it tracks every time you listen to a song. Let’s do something completely different today! I’m a huge data nerd and I’ve been uploading my music play information to a site called last.fm going back to 2005.
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