Looking at the gender distribution of users, the data is not very interesting. Aside from an initial ramp up as users registered in the first few months, things seem pretty stable at between 10-18% Women and ~50% Men with the rest unregistered (no gender information available).

I used cPickle to serialize my python representation of the data to store and retrieve the processed data. Useful to speed things up.

For the record below is the ugly default legend which looked terrible on the plot.