EAN’s World of Data: Prototyping apps using real data
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The document discusses prototyping apps using real data rather than placeholder text or images. It provides examples of generating realistic datasets representing people moving around towns, places ordered by importance, social connections between people, and networks of groups like politicians, royalty, and comic book characters. The document encourages exploring and coding these kinds of prototypes yourself.
EAN’s World of Data: Prototyping apps using real data
- 1. Prototyping apps using real data Matt Biddulph @mattb | matt@hackdiary.com
- 14. Realistic cities generating a dataset of people moving around town
- 20. Realistic ranking generating a dataset of places ordered by importance
- 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
- 33. Tennis Politicians Professional wrestling Royalty
- 34. Comicbook characters Tennis Politicians Professional wrestling Royalty
- 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