I’ve been gifted a steady stream of math clocks over the years, including a really transcendental one that has been in my dining room for quite a while. I didn’t realize how often I used it to check the time until my four-year-old broke the hands off one recent day. (“I wanted to see what happens when you bend them back and forth,” he explained, but I digress.)
The purpose of this blog is to document the *fix* for this failure that we developed together:
“What time is it?”, I inattentively asked myself as a kid came down the stairs this morning. Perfect answer!
Sort of a seed funding for projects that are part academia and part start up at UW: http://www.geekwire.com/2016/amazon-unveils-amazon-catalyst-programs-backing/
I learned about a “big” data source for understanding air travel at the eScience incubator project talks last week, the DB1B database, aka the Airline Origin and Destination Survey. This is a 10% sample of all tickets for flights originating in the US, released quarterly since the 1993: http://www.transtats.bts.gov/DL_SelectFields.asp?Table_ID=289&DB_Short_Name=Origin%20and%20Destination%20Survey This must be good for something in global health.
Congratulations, Dan! Hurrah for young professors getting their books out into the world. My book will be out one day, too, but of considerably less general interest.
I’ve been digging for presentation materials lately, and one source I want to remember is this tunblr full of visual representations of big data: http://bigdatapix.tumblr.com/
Big Data is visualized in so many ways…all of them blue and with numbers and lens flare.
Two links of relevance to those of us who love data and science:
dstk – datasciencetoolkit
pip install dstk
In case you or your students need some resources, these people seem quite happy to give them away: https://www.opensciencedatacloud.org/