But before you visualize

1,059 views

Published on

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.

Published in: Technology, Business
0 Comments
3 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,059
On SlideShare
0
From Embeds
0
Number of Embeds
9
Actions
Shares
0
Downloads
13
Comments
0
Likes
3
Embeds 0
No embeds

No notes for slide

But before you visualize

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

×