Third Annual GitHub Data Challenge(github.com)
github.com
Third Annual GitHub Data Challenge
https://github.com/blog/1864-third-annual-github-data-challenge
9 comments
The Google BigQuery implementation of the archive can do such a query across all the data in seconds.
I wasn't aware until today that you could use BigQuery on a recently-updated data set, though.
I wasn't aware until today that you could use BigQuery on a recently-updated data set, though.
I can confirm. That query took about 2 seconds. More discussion here: http://www.datatau.com/item?id=3608
I don't get why the first prize is a one-day course about data visualization. You already won the contest which shows that you are knowledgeable about data visualization, what would a 1 day course do for you?
The course is taught by Edward Tufte.
Why prizes for this competition is so pathetic. Looks like a corporate moral budget where you skimp for pennies (I know for a fact of a big company having $75 moral budget per person per year). Is this how much our time worth? At least the organizers could have been more creative if execs at Github decided to through mere pennies at developers to compete like giving out some cool designed t-shirts or something.
Top 3 winners get $200, $100, and $50
Top 3 winners get $200, $100, and $50
> Top 3 winners get $200, $100, and $50
Those are 2013 numbers. This year it's "all-expense paid trip to attend a one-day data visualization course", $500, and $250 for top 3 winners. But presumably this isn't meant to be done as a job.
Those are 2013 numbers. This year it's "all-expense paid trip to attend a one-day data visualization course", $500, and $250 for top 3 winners. But presumably this isn't meant to be done as a job.
Cool. A day's worth of public events is 129MB compressed. That's surprisingly small! Let's play for a second.
Time to break out JQ: https://stedolan.github.io/jq/manual/
That's an easy amount of data to mess with. If a day is 16 seconds to process, I can do 14 years on my measly desktop in one day! 408k public records - around 5 a second. I somehow imagined events would flood into github even faster than that. I wonder what their public/private activity ratio is.
Let's explore the event types:
Pushes dominate - 10 pushes for every issue created.
This is probably more than enough for an HN comment. It'll be fun to see what people do with this stuff this year. :)