Sketching D.C. Crime Data With R by Matt Stiles.
From the post:
A car burglar last week nabbed a radio from our car, prompting me to think (once again) about crime in Washington, D.C., where I live.
I wanted to know if certain crimes were more common in particular neighborhoods, so I downloaded a list of every serious crime in 2012 from the city’s data portal. The data contained about 35,000 reported incidents of homicides, thefts, assaults, etc., with fields listing the date, time and neighborhood associated with each case.
I used the statistical programming language R, which is great for quickly creating small multiples to examine data, to make some rough visual sketches.
First, since we’re talking about cars, the first grid shows thefts from vehicles, by hour and “advisory neighborhood commission“. These commissions are the small groups of officials who represent their respective D.C. neighborhoods on issues like real estate development and alcohol sales, among other things. (I live in Brookland, which is governed by ANC 5B). You can find your ANC here.
(…)
Matt charts a variety of crimes in DC and is sure to get your attention.
Occurs to me that a map of DC, color coded by crime and time of day, would be great conference swag for conference tote bags.
With the subway system marked with “Do Not Exit” here signs.