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Where's the Data? (2)

James Eggers
February 17, 2014

Where's the Data? (2)

Where's the Data? (2)

James Eggers

February 17, 2014
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Transcript

  1. Hi

  2. •  I’m James •  I’m 19 •  I do Computer

    Science, here. •  Have a weird obsession with computers @james_eggers
  3. •  Entered Young Scientist twice, won my category both times

    & EMC “Data-Hero” award. •  I made “Better Examinations.ie” which won two Irish Web Awards. •  Spoken at the Dublin Web Summit on the Main Stage, & at the Central Statistics office.
  4. “Data” are lots of individual bits of info that aren’t

    so useful by themselves, but become very useful when you put them together.
  5. Think of life as an equation A2 + B2 =

    C2 If you know just two variables, say A and B, then you know C too.
  6. A “life” equation If you had enough “data”, you could

    theoretically predict anything in life with a really large equation.
  7. On an average day, people are happiest at about 18:00

    (6pm) and least happy early in the morning 04:00 – 08:00.
  8. I also found that the East Coast is generally in

    a worse mood than the West Coast. When the Budget 2011 was being read, there was a dip in the overall mood.
  9. People are nearly always happier on the West coast. The

    east coast seems to consistently lag behind in terms of overall happiness.
  10. No.

  11. By training algorithms to store every word in every exam

    paper, students can now search all the papers for specific questions.
  12. In this case, the data are the exam papers and

    all of the statistics the dept. of education create.
  13. .

  14. .

  15. Automatically gathered real-time road traffic data With Traffic Cameras and

    via Twitter Dispensed structured road traffic info via web app Also displayed data about ice levels on roads, average road temperature and air temperture from the national roads authority.
  16. Automatically gathered real-time road traffic data With Traffic Cameras and

    via Twitter Dispensed structured road traffic info via web app Also displayed data about ice levels on roads, average road temperature and air temperture from the national roads authority.
  17. Instead of getting the computer to look for a car

    in an image, it looks for the absence of a car.
  18. The Computer simply counts up the 4x4 pixel areas of

    black colour. Red = Area of empty space the computer can see
  19. Twitter was a great source of information Tweets were analyzed

    in real-time Looking for words like “accident” or “delays” Location was also found by searching for words like “on” or “at”.
  20. Then used Bing Maps to complete the address, and convert

    to latitude/longitude pair to map. Tweets that mentioned an incident, were kept for 4 hours before being cleared from the system.
  21. Then used Bing Maps to complete the address, and convert

    to latitude/longitude pair to map. Tweets that mentioned an incident, were kept for 4 hours before being cleared from the system.
  22. .

  23. You could find that people with bigger feet have a

    greater chance of getting disease x.
  24. E.g. The frequency with which Lindsay Lohan finds herself in

    jail may be correlated with the rate of increasing deforestation, but that doesn’t mean the two events have an effect on each other.