AND: If anyone would like one of these charts and/or a spreadsheet containing, just let me know your Spotify username, and I'll hook you up.
The long playlists are mostly collections of songs with a specific theme. My favorite is "Threes Threes Threes", with songs like 'Fun, Fun, Fun', 'Please, Please, Please', and 'Bills, Bills Bills' https://open.spotify.com/user/129342083/playlist/741ULT9azMzflldLNatzvK?si=guHhVdsgT6yiYMgx-KqzWw
I pulled my playlist data out of spotify a while ago. Here's a chart of each playlist as an interval from when the first and last song were added. Mostly I make playlists and don't update them, but a few, I find new songs to add to years after they started. Y-position doesn't meany anything.
I don't have a lot of experience with making maps, so when I was asked to make a viz of businesses in SF, I stick with a scatterplot. (made with ggplot2...don't draw any conclusions from the data)
book rec: Understanding Comics by Scott McCloud. I found it really inspiring. It made me want to play with hand-drawing charts, but also want to think really really hard about powerpoint presentations. A really great addition to my budding data viz library.
I was psyched to find that @moritz had interviewed him within the last year. Definitely worth a listen. http://datastori.es/102-comics-and-visual-storytelling-with-scott-mccloud/
A recent little project I made Boggle-clone in R Shiny, generating boards in ggplot2 (it's pretty rough around the edges, but I'm super proud of it)
Here goes nothing