alexmacy

license: gpl-3.0

alexmacy

license: mit

alexmacy

license: mit

alexmacy

license: mit

alexmacy

This is an updated version of this demo of the crossfilter library. Crossfilter has been one of my favorite - and what I think to be on of the most underrated - JavaScript libraries. It hasn't seen much of any updates in quite a while, so I wanted to find out how it would work with version 4 of d3.js.

There were some issues that came up with how d3-brush has been updated for v4. Big thanks goes to Alastair Dant (@ajdant) for helping to figure out a couple of those issues!

Also worth reading, is this discussion started by Robert Monfera (@monfera).

alexmacy

license: mit

alexmacy

license: mit

alexmacy

I'm a big fan of locations and patterns, and particularly social patterns relating to location, movement, and usage trends. I'd been looking for a way to explore this when I heard about the Oakland Police Department having released all their license plate reader data.

I filtered this data to license plates that appeared in a minimum of 15 distinct locations, and then removed obvious errors (like 'CAUTION' and other street signs) as well as government vehicles like buses and police cars (these have numeric digits only, rather than the alpha-numeric). The result was 205 plates, with 6,623 unique scan events.

It's not really enough data to find trends, but it was a good exercise in learning mechanisms that can be used to find and rank common traits. For this, I compared the locations that each license plate had been scanned and calculated the similarity to the other license

alexmacy

license: mit

alexmacy

license: mit