Inspired by this post I decided to put my iTunes library through wordle:
Unfortunately they don’t have larger thumbnails.
2 thoughts on “iTunes Music Library Visualization”
Looks like DMB is by far the most predominate artist in your library. The drawback to Wordle vs. classic charts is that is becomes very difficult/impossible to view the data for the less dominate values. Wordle is fun to play with though. Thanks for checking out the post!
Tony
Hi Tony,
Thanks for the comment. Yeah, I think a more interesting statistic would be a Wordle that represents artists by frequency of play. Unfortunately, I play music on both my MacBook Pro (through iTunes) and on my Linux desktop (Rhythmbox). However, both machines scrobble to Last.fm. I’m trying to figure out how to pull the necessary data out of that. I’m also going to work on doing a Wordle that will represent all the words in the entirety of Wikipedia.
Looks like DMB is by far the most predominate artist in your library. The drawback to Wordle vs. classic charts is that is becomes very difficult/impossible to view the data for the less dominate values. Wordle is fun to play with though. Thanks for checking out the post!
Tony
Hi Tony,
Thanks for the comment. Yeah, I think a more interesting statistic would be a Wordle that represents artists by frequency of play. Unfortunately, I play music on both my MacBook Pro (through iTunes) and on my Linux desktop (Rhythmbox). However, both machines scrobble to Last.fm. I’m trying to figure out how to pull the necessary data out of that. I’m also going to work on doing a Wordle that will represent all the words in the entirety of Wikipedia.