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Messing with Data<br />Tony Hirst,<br />Dept of Communication and Systems,<br />The Open University<br />#lak11<br />
How can non-programmers do the sort of things that we might normally think we need a developer to do?<br />
“Data Is A Dish Best Served Raw”<br />http://eagereyes.org/<br />
ND<br />
DiscoveryAcquisition as dataRepresentationCleansing(Visual) Analysis<br />
APIs, screenscraping and standardised document formats<br />
RepresentationStructured OR or unstructuredHuman readable (text) or opaque document format?<br />
Google Spreadsheets as a database<br />
=QUERY('ISO Country Codes'!A2:B268,                 "select A,B where A contains 'FRANCE' limit 1")))<br />
Many Eyes<br />
Visualising Networks<br />
[ Context – resource discovery in special interest areas ]<br />
http://flic.kr/p/9mvfHh<br />
Put the data to work: Google CSEblogroll<br />
More views ondelicious…<br />
Graph of folk who follow three or more people (ish) who tweeted a link to soti/rin blog post<br />
Data Cleansing<br />
Google Refine<br />
Stanford Data Wrangler<br />
Google Analytics<br />
http://code.google.com/apis/analytics/docs/gdata/gdataExplorer.html<br />http://bit.ly/fzj9yv<br />
OUseful.info<br />
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Lak11 ws-messing withdata

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Lak11 ws-messing withdata

  1. 1. Messing with Data<br />Tony Hirst,<br />Dept of Communication and Systems,<br />The Open University<br />#lak11<br />
  2. 2. How can non-programmers do the sort of things that we might normally think we need a developer to do?<br />
  3. 3. “Data Is A Dish Best Served Raw”<br />http://eagereyes.org/<br />
  4. 4. ND<br />
  5. 5. DiscoveryAcquisition as dataRepresentationCleansing(Visual) Analysis<br />
  6. 6. APIs, screenscraping and standardised document formats<br />
  7. 7. RepresentationStructured OR or unstructuredHuman readable (text) or opaque document format?<br />
  8. 8. Google Spreadsheets as a database<br />
  9. 9.
  10. 10. =QUERY('ISO Country Codes'!A2:B268, "select A,B where A contains 'FRANCE' limit 1")))<br />
  11. 11.
  12. 12. Many Eyes<br />
  13. 13.
  14. 14.
  15. 15.
  16. 16. Visualising Networks<br />
  17. 17.
  18. 18.
  19. 19.
  20. 20.
  21. 21.
  22. 22. [ Context – resource discovery in special interest areas ]<br />
  23. 23. http://flic.kr/p/9mvfHh<br />
  24. 24.
  25. 25.
  26. 26.
  27. 27. Put the data to work: Google CSEblogroll<br />
  28. 28.
  29. 29. More views ondelicious…<br />
  30. 30. Graph of folk who follow three or more people (ish) who tweeted a link to soti/rin blog post<br />
  31. 31.
  32. 32. Data Cleansing<br />
  33. 33. Google Refine<br />
  34. 34. Stanford Data Wrangler<br />
  35. 35. Google Analytics<br />
  36. 36. http://code.google.com/apis/analytics/docs/gdata/gdataExplorer.html<br />http://bit.ly/fzj9yv<br />
  37. 37.
  38. 38. OUseful.info<br />

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