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Hack Airline Data with Math

Have you ever been stuck in an airport because your flight was delayed or cancelled and wondered if you could have predicted it if you'd had more data? This is your chance to find out.


DataSets:

Flight arrival and departure details for all commercial flights within the USA, from October 1987 to April 2008. This is a large dataset: there are nearly 120 million records in total, and takes up 1.6 gigabytes of space compressed and 12 gigabytes when uncompressed.

http://stat-computing.org/dataexpo/2009/

Also available:

Airlines all years[masked]:
https://s3.amazonaws.com/h2o-airlines-unpacked/allyears.csv (12GB)

 

Questions:

Predict which airport in SF Bayarea has less than 5-mins arrival delays?

Predict what are the best days/times to fly out of SFO?

Predict weather related delays based on time of day for your next return trip to SF?

https://github.com/0xdata/h2o/wiki/Hacking-Airline-DataSet-with-H2O

Join or login to comment.

  • Sam C.

    Awesome! Very helpful folks!

    September 26, 2013

  • Sam C.

    AWESOME! Very helpful folks!

    September 26, 2013

  • Sam C.

    Awesome event. Thank you for hosting and nice meeting you all!

    September 26, 2013

  • Amir Y.

    (looking at github) What's difference between allyears.csv and allyears_10x? It has only been repeated to make it a larger data set or actual data is different?

    September 26, 2013

  • Ramkumar R.

    Hello Sathish, For your tomorrow's Hack Airline data event, we have space at my friend's Fremont office which can accomodate up to 50 persons. Please drop an email to [masked] or [masked] so that someone will get in touch with you. We look forward to hear from you soon!!

    PS: Space will be provided free of cost :-)

    September 25, 2013

  • Jay C.

    I am not at SF now. Will any of you host the similar event during Oct 10-22? To hacking airline data looks very interesting.

    September 25, 2013

  • Eva

    First attempt in big data

    September 8, 2013

25 went

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