Difference between revisions of "DataVis2012/Projects/Schapiro"
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I will be mapping out how many people listen to an artist in various metros compared to the most recent tour route. | I will be mapping out how many people listen to an artist in various metros compared to the most recent tour route. | ||
=== Step 1: Acquiring Data === | |||
The data will be loaded dynamically, using the following | The band tour data will be loaded dynamically, using the following datasource: | ||
http://www.songkick.com/developer/upcoming-events-for-artist | http://www.songkick.com/developer/upcoming-events-for-artist | ||
I | I think my best bet is to scrape the data myself. I will set up a server script to ping the Last.fm API. I will grab the weekly hyped artists charts for 46 US cities (http://bit.ly/wBWTk7). The two API calls will be geo.getMetroArtistChart and geo.getMetroHypeArtistChart (http://bit.ly/yoYlvF). The results will be stored in a mySQL database. | ||
=== Step 2: Filtering Data === | |||
The subset of the artists I use will be decided based on the richness of the data that is scraped. Hopefully we'll see something interesting here! | |||
=== Step 3: Rendering Data === | |||
My current design idea is a map of the US (or world) with circles of differing sizes compared to how popular an artist is, overlaced with a connecting line betweens cities traveled to (in order) in the upcoming/previous tour | |||
Revision as of 03:27, 17 February 2012
My Projects
Visualizing Music Hype and Music Tour Correlations
I will be mapping out how many people listen to an artist in various metros compared to the most recent tour route.
Step 1: Acquiring Data
The band tour data will be loaded dynamically, using the following datasource: http://www.songkick.com/developer/upcoming-events-for-artist
I think my best bet is to scrape the data myself. I will set up a server script to ping the Last.fm API. I will grab the weekly hyped artists charts for 46 US cities (http://bit.ly/wBWTk7). The two API calls will be geo.getMetroArtistChart and geo.getMetroHypeArtistChart (http://bit.ly/yoYlvF). The results will be stored in a mySQL database.
Step 2: Filtering Data
The subset of the artists I use will be decided based on the richness of the data that is scraped. Hopefully we'll see something interesting here!
Step 3: Rendering Data
My current design idea is a map of the US (or world) with circles of differing sizes compared to how popular an artist is, overlaced with a connecting line betweens cities traveled to (in order) in the upcoming/previous tour