[–] kranzky 11y ago ↗ Written for the recent GovHack down here. Integrates spatial data from many disparate gub'mnt departments, and displays as a Tweetable heatmap.I find these ones rather interesting, but you can make your own too:Average Taxable Income vs. Average Donations to Charity (http://australian.govdata.exposed?q=-33.86726011483213+151.2...)Adults who are Divorced vs. Homes with Six Children or More (http://australian.govdata.exposed?q=-33.865977283552276+151....)Public Toilets with Baby Change vs. People Aged 0 - 4 (http://australian.govdata.exposed?q=-37.79925451435619+144.9...)I also JSON-ified all the data I processed and threw it up as a static API at the following URL:http://api.govdata.exposed/Comments most welcome!
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[ 2.7 ms ] story [ 10.5 ms ] threadI find these ones rather interesting, but you can make your own too:
Average Taxable Income vs. Average Donations to Charity (http://australian.govdata.exposed?q=-33.86726011483213+151.2...)
Adults who are Divorced vs. Homes with Six Children or More (http://australian.govdata.exposed?q=-33.865977283552276+151....)
Public Toilets with Baby Change vs. People Aged 0 - 4 (http://australian.govdata.exposed?q=-37.79925451435619+144.9...)
I also JSON-ified all the data I processed and threw it up as a static API at the following URL:
http://api.govdata.exposed/
Comments most welcome!