Between being out of the country and starting a new job, I’ve been fairly delinquent about updating this blog. Here’s an attempt at catching up.
There were also some cleverly hidden public data that consists in the postal code of a single contributor. Using a Web browser, it was impossible to compile this data into a database. But using simple scripts with a command-line tool like curl, it was possible to know the location that a donor used to make its donation, including private residence. It might be of questionable good taste to reveal those on a map, but in an era of data mashups and visualisation, it makes perfect sense for what is after all public data.
A man after my own heart. Another way of presenting this data would be to sum totals for each party at all levels by FSA, then map a rate (dollars per 1,000 of population, something like that.)
Daniel P. Huffman has created a map of profanity on Twitter (original PDF here). It takes a sample of 1.5 million geocoded tweets in March and April 2010 and maps the percentage of words in said tweets that are profanities. Salt Lake City never swears, apparently.
A new study finds that parents in newer, “frontier” states choose less-common baby names than parents in older states (like the original 13).