One of the problems with assuming male/female within datasets is that typically more females keep their gender information confidential, which ends up skewing t

One of the problems with assuming male/female within datasets is that typically more females keep their gender information confidential, which ends up skewing the dataset significantly. Also it would have been interesting to compare some of these charts to the overall sample set of Twitter, considering that it also skews more towards "geek", "student", "developer" as well.