Awesome! TIL that county with highest HIV/Chlamydia case ratio of all the counties in Georgia [1] is... <i>drum roll</i> Butts County!<p>Gotta love statistics.<p>[1] <a href="http://datausa.io/profile/geo/atlanta-sandy-springs-marietta-ga-metro-area/#stds" rel="nofollow">http://datausa.io/profile/geo/atlanta-sandy-springs-marietta...</a>
In case you were wondering:
"About the Visualizations
The visualizations in Data USA are powered by D3plus, an open-source visualization engine that was created by members of the Datawheel team."
Seems like the majority of the data comes from the Census...which is not a bad thing as Census data is under-used though the official U.S. Census site and FactFinder is highly...unintuitive to use. DataUSA has a Github repo and wiki which lists its data sources (available through its API): <a href="https://github.com/DataUSA/datausa-api/wiki" rel="nofollow">https://github.com/DataUSA/datausa-api/wiki</a><p>FWIW, the Census has also started building out its own API: <a href="http://www.census.gov/data/developers/data-sets.html" rel="nofollow">http://www.census.gov/data/developers/data-sets.html</a>
One of the stats they show is gini coefficient. Is There anything counterintuitive about that statistic that I should keep in mind? For example, do high income areas have a high gini (simply because of the construction of the statistic)? or maybe small areas tend to have a smaller gini?
Really annoyed by the tooltips for some reason in most JS visualizations. It is fairly easy to tell what the exact numbers are already.<p>I think it would be a nice touch to make the standard error bars pop out or something else interactive. On printed plots, error bars is perhaps the only thing that you both want and don't want that would benefit from the dynamic nature of these.