For my data visualization, I have chosen Christopher Adjei, and Nils Holland-Cunz project, titled, Genreballung, on visualizing Last.FM (can be found at http://visualizinglastfm.de/, Genreballung Demo-Video ). When I had to find a data visualization, I really wanted to try and find something that related to music. As I am an avid Last.fm user, I figured finding something that used the Last.fm api would be an obvious source to look for. Adjei and Hollan-Cunz’s visualization is used to represent concerts in Europe through different genres, throughout the month of November in 2008. As I am also an avid concert-go-er, this also really caught my eye. The visualization shows all the concert venues represented by the amount of concerts in each city. A cube represents each concert; the more shows at the venue, the higher the stack of cubes is. I found this visualization really interesting because I found it related to my previous project, the Interactive Self Portrait. It would be interesting to see a visualization similar to this one, but one that uses Toronto concerts for its data source.
In week 5’s lesson, we learned how to use the Last.fm api and have Processing represent the data. Since that lecture, I have taken a huge interest in the Last.fm api, and have looked at several different visualizations that use this api. This data visualization, by Adjei and Holland-Cunz, uses Processing as their engine of their visualization. I found this visualization very interesting, and has inspired me to look into more visualizations that have used the Last.fm api to represent data.
