EAN’s World of Data: Prototyping apps using real data

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Matt Biddulph

Technologie Spirituel

Realistic cities

generating a dataset of people
moving around town

Realistic ranking

generating a dataset of places
ordered by importance

Successfully read 442,775 records from:
"s3://wikipedia-stats/features.txt"
Successfully read 975,017,055 records from:
"s3://wikipedia-stats/pagecounts-2012012*.gz"

in 4 hours, 19 minutes and 32 seconds
using 4 m1.small instances.

Hackney 3428

Camden 2498

Tower Hamlets 2378

Newham 1850

Enfield 1830

Croydon 1796

Islington 1624

Southwark 1603

Lambeth 1354

Greenwich 1316

Hammersmith and Fulham 1268

Haringey 1263
London
Harrow 1183 neighbourhoods
Brent 1140
0 1000 2000 3000

Realistic social networks

generating a dataset of social
connections between people

Tennis

Politicians

Professional
wrestling

Royalty

Comicbook
characters Tennis

Politicians

Professional
wrestling

Royalty

Explore it yourself:
http://biddul.ph/wikipedia-graph

Code it yourself:
http://biddul.ph/where-workshop-code

Thanks!

Matt Biddulph
@mattb | matt@hackdiary.com

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EAN’s World of Data: Prototyping apps using real data

1. Prototyping apps using real data Matt Biddulph @mattb | matt@hackdiary.com

3. no more lorem ipsum

5. no more chartjunk

6. prototypes are boundary objects

10.

11.

12. LA attention heatmap

13. LA driving heatmap

14. Realistic cities generating a dataset of people moving around town

15.

16.

17.

18.

19.

20. Realistic ranking generating a dataset of places ordered by importance

21.

22.

23.

24. Successfully read 442,775 records from: "s3://wikipedia-stats/features.txt" Successfully read 975,017,055 records from: "s3://wikipedia-stats/pagecounts-2012012*.gz" in 4 hours, 19 minutes and 32 seconds using 4 m1.small instances.

25. Hackney 3428 Camden 2498 Tower Hamlets 2378 Newham 1850 Enfield 1830 Croydon 1796 Islington 1624 Southwark 1603 Lambeth 1354 Greenwich 1316 Hammersmith and Fulham 1268 Haringey 1263 London Harrow 1183 neighbourhoods Brent 1140 0 1000 2000 3000

26. Realistic social networks generating a dataset of social connections between people

27.

28.

29.

30.

31. Politicians Royalty

32. Tennis Politicians Royalty

33. Tennis Politicians Professional wrestling Royalty

34. Comicbook characters Tennis Politicians Professional wrestling Royalty

35.

36.

37. Explore it yourself: http://biddul.ph/wikipedia-graph Code it yourself: http://biddul.ph/where-workshop-code

38. Thanks! Matt Biddulph @mattb | matt@hackdiary.com