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But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
But before you visualize
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But before you visualize

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Good data sources are essential for great processing, curating and outputting. Many of these are already available today, but most of them aren’t annotated or machine-readable. …

Good data sources are essential for great processing, curating and outputting. Many of these are already available today, but most of them aren’t annotated or machine-readable.

This presentation will give you places to look for publicly available data sets and tools that you can use to browse, remix and visualize them.

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  • 1. But before you visualize — Bram Pitoyo
  • 2. e internet has many datasets.
  • 3. Shakespeare’s works http://www.openshakespeare.org/
  • 4. Wikipedia infobox http://infochimps.org/tag/wikipedia/
  • 5. US public debt by day since 2001 http://tr.im/publicdebt
  • 6. e problem.
  • 7. e solution.
  • 8. InfoChimps http://infochimps.org
  • 9. Numbrary http://numbrary.com
  • 10. Amazon WS Public Data Sets http://aws.amazon.com/publicdatasets/
  • 11. Comp. Knowledge Archive Network http://ckan.net/
  • 12. Open Street Map http://www.openstreetmap.org/
  • 13. e Guardian Open Platform http://www.guardian.co.uk/open-platform
  • 14. Now that you get the data —
  • 15. You can either,
  • 16. Strata: the data browser http://www.kirix.com/
  • 17. — or you can
  • 18. Many eyes: shared data visualization http://manyeyes.alphaworks.ibm.com
  • 19. Too many frakking datasets.
  • 20. “PublicData” on Delicious http://delicious.com/tag/publicdata
  • 21. “Dataset” on Delicious http://delicious.com/tag/dataset
  • 22. Data Wrangling http://tr.im/datasets
  • 23. RWW: Where to Find Open Data http://tr.im/opendata
  • 24. What’s next, you ask?
  • 25. Linked Data http://linkeddata.org/
  • 26. anks. bram@brampitoyo.com

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