Lak11 ws-messing withdata
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This document discusses how non-programmers can work with data through various tools and platforms. It mentions Google Spreadsheets and APIs as ways to acquire, represent, and cleanse data without programming skills. Visualization tools like Google Refine, Stanford Data Wrangler, and Many Eyes are presented as options for analyzing structured and unstructured data through visual and human-readable representations.
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Lak11 ws-messing withdata
- 1. Messing with DataTony Hirst,Dept of Communication and Systems,The Open University#lak11
- 2. How can non-programmers do the sort of things that we might normally think we need a developer to do?
- 3. “Data Is A Dish Best Served Raw”http://eagereyes.org/
- 4. ND
- 6. APIs, screenscraping and standardised document formats
- 7. RepresentationStructured OR or unstructuredHuman readable (text) or opaque document format?
- 8. Google Spreadsheets as a database
- 10. =QUERY('ISO Country Codes'!A2:B268, "select A,B where A contains 'FRANCE' limit 1")))
- 12. Many Eyes
- 22. [ Context – resource discovery in special interest areas ]
- 27. Put the data to work: Google CSEblogroll
- 30. Graph of folk who follow three or more people (ish) who tweeted a link to soti/rin blog post
- 32. Data Cleansing
- 33. Google Refine
- 35. Google Analytics
- 38. OUseful.info