When making this visualization I wanted to know what it would look like if I were to take a map of Boston and choose a color for each point depending on which subway stop was most convenient from that point. Luckily, a Voronoi Diagram is perfect for this sort of visualization.

Just a short post today– This is another analysis of the city of New York dataset I talked about in my last post (although I’ve only included the top 25 causes of death in this post). I wanted to create a visualization that would allow people to explore how different causes of death affect different genders and ethnicities differently, and I think I’ve succeeded here (but I suppose you can judge for yourself).

Recently I found a publicly available dataset, available from the city of New York, that breaks down the leading causes of death for people in NYC (collected from 2007 to 2011). Digging around for myself, it looks like a cause of death was included in this dataset if it affected at least 5 victims in a given year. Raw counts are given for each cause of death broken down by gender and ethnicity.

So my webpage isn’t so empty, I thought I’d devote a post to talking about one of my favorite ongoing experiments, the IceCube Neutrino Observatory. IceCube is a particle detector that detects scattered Cherenkov Radiation from charged particles that result from (exceedingly) rare neutrino interactions speeding through the Antarctic ice.