Already ready
- Stop-question-frisk webpage
- Gifts my true love gave to me on the 12 days of Christmas
- FMS Symphony
- Ridership rachenitsa
To do
- Data-driven dance (below)
- CSV shirts, with
,,\r, and\n(Let's make a store, too!) - Big light-up comma
- More songs (below)
- Collecting bike accident data for an SF-related dataset. Almost done geocoding. Presentation could be similar to sqf-symphony or separate. Info on what variables we have.
In the part of fms when the debt ceiling is about to rise and the drums drop out, have everyone in the crowd yell
"RAISE THE ROOF" and do this move:
In the music and video, we can bring in things parts at a time. A cool way of doing this is to use datasets that only start at a particular time, but we could also do this by arbitrarily cutting things off. Or we could cut things off at meaningful places.
Something in the music and video changes based on a Wiimote or whatever. We can hand that out to the audience
Fit a model to some sparse and small dataset. Map the model predictions to notes.
For example, we predict average daily bicycle ridership on New York bridges from monthly data. We use some sort of nice smoothing function so we get clean interpolations. Kernel density should be fine.
Then we map predictions to frequencies. In the above example, we only have one instrument, but we can have more instruments for different dependent variables.
These data are a mess and are very random, so I don't think they'll be that interesting. http://thomaslevine.com/!/socrata-metrics-api/
- http://thomaslevine.com/!/socrata-metrics-api/
- Nursing homes
- American Community Survey
- https://data.energystar.gov/
Silver
- http://datahub.io/dataset/goldsilverminesenergyuseghgemissions
- https://finances.worldbank.org/Procurement/Major-Contract-Awards/kdui-wcs3
- https://data.consumerfinance.gov/Government/Survey-of-Credit-Card-Plans/gme7-gkkr?
- http://www.usmint.gov/about_the_mint/index.cfm?action=PreciousMetals&type=bullion
- stock market or silver prices from yahoo
- gdp, smoothed
Towing