With the ever increasing amount of open data, I’m having a surprising difficulty in tracking down best practices for anonymizing data. I’ve started collecting some, and I’m sure there are lot of people out there with brilliant expertise to share.
Content after the break, or drop some knowledge here.
Chris Whong got a hold of a lot of GPS data for NYC taxis, using the cleverest hack of all: He asked nicely.
Not sure what I want to do with this yet, but spend an evening putting the basics together, and drew this from a small subset of the taxi dropoff locations. I love how the slightly fuzzy data lines up with street locations, and looks like the skeletons of pressed leaves.
There’s also an impressive zoomable map with both pickup and dropoff data by @enf.
[ hat tip to: @j0el ]
It’s not surprising to receive an unsolicited job offer, but the personalization and craftsmanship that went into the language of this one takes the cronut. Maybe an autonomous car was transferred to HR?
(1) NEW OPENING WORKING WITH GOOGLE
emorisse you were chosen as a candidate for this position
Continue reading "An Unlikely Google Solicitation"
Anyone ever tell you that fundraising is a small world? Drawing the graph of connections between funders and NYC companies from 2001 through the present, we see a highly connected core with most outliers representing single deals. That level of connectedness is why reputation matters so very much.
(Also thrilled to see the NYC funding ecosystem grow over the years!)
[data from CrunchBase]
Person of Interest is filming in my neighborhood today, and the crew has changed some of the street signs.
I probably would not have noticed, except this happens to be the “famous” corner where Waverley intersects with itself. Remember Kramer getting lost in the West Village and stumbling upon intersection of 1st and 1st?
as seen on Waverly Place @ Gay Street
Good luck to all of today’s travelers. Happy Thanksgiving.
http://www.wnyc.org/story/photos-day-transportation-history-new-yorks-penn-station-opened/
