I collected the raw files used from the American Community Survey: <a href="https:&#x2F;&#x2F;drive.google.com&#x2F;folderview?id=0ByZIeqREehZySFg3MTdoOVhYTk0&amp;usp=sharing" rel="nofollow">https:&#x2F;&#x2F;drive.google.com&#x2F;folderview?id=0ByZIeqREehZySFg3MTdo...</a><p>It looks like I forgot to check in the R script used to process the .dat files to my gist <a href="https:&#x2F;&#x2F;gist.github.com&#x2F;1wheel&#x2F;a8e65b1576b750c5e3e3" rel="nofollow">https:&#x2F;&#x2F;gist.github.com&#x2F;1wheel&#x2F;a8e65b1576b750c5e3e3</a>, but I&#x27;ll add it when I get home.<p>We also tried to use salary info like the magazine version <a href="https:&#x2F;&#x2F;twitter.com&#x2F;adamrpearce&#x2F;status&#x2F;697844614754123776" rel="nofollow">https:&#x2F;&#x2F;twitter.com&#x2F;adamrpearce&#x2F;status&#x2F;697844614754123776</a> did, but had some problems with slighty different occuptation categories: <a href="http:&#x2F;&#x2F;www.bloomberg.com&#x2F;graphics&#x2F;2016-who-marries-whom&#x2F;salary.csv" rel="nofollow">http:&#x2F;&#x2F;www.bloomberg.com&#x2F;graphics&#x2F;2016-who-marries-whom&#x2F;sala...</a><p>Interested to see what people come up with! This is a super interesting, rich data set that deserves much more than what I&#x27;ve done.