Kevin Quinn, Vinod Rathnam, Sonja Khan, Riley Porter {kchq, vinodr, sonjak3, rileymp2}@uw.edu
The research process took place in person all together. We searched for relevant works, possible data sets, and ideas on interesting features in the Hip Hop data visualization realm. Then two team members, Sonja and Kevin, worked on scraping the data from the MusicBrainz API. The other two team members, Vinod and Riley, worked on the project milestone presentation.
After that, the development process started. In general, we each picked different features that we wanted to work on and separately developed them. However, we did this with a lot of communication via Facebook chat and met in person many times to work alongside each other and ask each other questions. As a result of this, we would sometimes naturally end up working on features in pairs based on how integrated our solo features were. Based on how many views we ended up creating, there were plenty of features to work on at all times.
###A breakdown of how the workload generally split amongst team members### We also included this information on our project page
####Kevin:####
- domain expert
- data collection
- image collection
- data cleaning
- single artist view
- multiple artist view
- artist list on zoomed in view
- spotify integration
- artist collaboration view
####Vinod:####
- spotify track uri collection
- single artist view
- multiple artist view
- narration events
- timeline and slider implementation
- progress report powerpoint
- narration events
- spotify integration
- artist collaboration view
####Sonja:####
- data collection
- image collection
- map setup
- artist node placement
- region design
- view from clicking on links in region view
- ui design
- node/link interaction
- zooming functionality
- poster design
####Riley:####
- parse data into javascript objects
- links in regional view
- links in overall view
- narration events
- node/link interaction
- zooming functionality
- poster design
- progress report powerpoint
View our visualization, by visiting http://cse512-15s.github.io/fp-kchq-vinodr-sonjak3-rileymp2/visualization
Alternatively, download this repository and run python -m SimpleHTTPServer 8000 and access this from http://localhost:8000/visualization.
Please be signed in with Spotify before use of this tool. Although you will be prompted to sign in, you may have to restart the visualization to use the Spotify feature if you do not have auto-login enabled.