One of the data science skills I want to play around with is deriving insights from data that publically available. Here, lets use some data on SF employee compensation and see what we can learn from the data.
First, per usual, load the dependencies.
I went to a talk a couple of weeks ago at Stanford on using machine learning to understand complex biological data. At one point in the talk the speaker made an offhand comment about data so simple "that a five year old could cluster it". Wow, were you that smart at five?