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Data journalism              HEISTTuesday, 20 November 12
THE PLAN:Tuesday, 20 November 12
GETTING IN   1. Data.gov.uk   2. ONS   3. WDTK/FOI  Task: find local/specialist sources, e.g. regulators, disclosure  logs...
GETTING IN   1. site:gov.uk   2. filetype:xls   3. “exact phrase”  Task: find key contextual datasets, e.g. school address...
FLOORPLAN 1:Tuesday, 20 November 12
GET IN QUICK:   Find data for local council   expenditure over £500Tuesday, 20 November 12
FLOORPLAN 2:Tuesday, 20 November 12
2. THE TOP LINE:   1. Top of the flops/pops   2. Unusual entry/change   3. Fact checkTuesday, 20 November 12
3. PIVOT TABLES:   1. Data > Pivot table report   2. Rows: your focus   3. Values: your count/sum/etc.Tuesday, 20 November...
4. FILTER:   1. Create mini table on same   sheet with key headings   2. Use * wildcard   3. Data > Advanced filterTuesday...
FILTERS:Tuesday, 20 November 12
FILTERS:                             MegaMart AND Cookies AND >500                             MegaMart OR Cookies OR >500...
5. THE CLEAN-UP:   1. Other data only hidden   2. Copy filtered data and paste   into new sheet   3. Generate new pivot ta...
PIVOT FILTER:Tuesday, 20 November 12
PIVOT FILTER:Tuesday, 20 November 12
NO ONE GETS HURT.                          http://exzuberant.blogspot.co.uk/2012/06/its-trigonometry-jim-but-not-as-we-kno...
5. THE GETAWAY   1. Text data? Wordle, Tagxedo   2. Numbers? Charts   3. Geo? Fusion Tables,   BatchGeoTuesday, 20 Novembe...
THE GETAWAY:Tuesday, 20 November 12
NO ONE GETS HURT.Tuesday, 20 November 12
NO ONE GETS HURT?Tuesday, 20 November 12
@PAULBRADSHAW                          ONLINEJOURNALISMBLOG.COM                             HELPMEINVESTIGATE.COMTuesday, ...
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The data journalism heist

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Quick one hour presentation and workshop on data journalism to students at UWE Bristol, November 2012

Published in: Education

The data journalism heist

  1. 1. Data journalism HEISTTuesday, 20 November 12
  2. 2. THE PLAN:Tuesday, 20 November 12
  3. 3. GETTING IN 1. Data.gov.uk 2. ONS 3. WDTK/FOI Task: find local/specialist sources, e.g. regulators, disclosure logs, set up alerts e.g. Change DetectionTuesday, 20 November 12
  4. 4. GETTING IN 1. site:gov.uk 2. filetype:xls 3. “exact phrase” Task: find key contextual datasets, e.g. school addresses; regional populations; codesTuesday, 20 November 12
  5. 5. FLOORPLAN 1:Tuesday, 20 November 12
  6. 6. GET IN QUICK: Find data for local council expenditure over £500Tuesday, 20 November 12
  7. 7. FLOORPLAN 2:Tuesday, 20 November 12
  8. 8. 2. THE TOP LINE: 1. Top of the flops/pops 2. Unusual entry/change 3. Fact checkTuesday, 20 November 12
  9. 9. 3. PIVOT TABLES: 1. Data > Pivot table report 2. Rows: your focus 3. Values: your count/sum/etc.Tuesday, 20 November 12
  10. 10. 4. FILTER: 1. Create mini table on same sheet with key headings 2. Use * wildcard 3. Data > Advanced filterTuesday, 20 November 12
  11. 11. FILTERS:Tuesday, 20 November 12
  12. 12. FILTERS: MegaMart AND Cookies AND >500 MegaMart OR Cookies OR >500 MegaMart AND Cookies OR Cookies AND >500 from http://www.contextures.com/xladvfilter01.htmlTuesday, 20 November 12
  13. 13. 5. THE CLEAN-UP: 1. Other data only hidden 2. Copy filtered data and paste into new sheet 3. Generate new pivot table from thatTuesday, 20 November 12
  14. 14. PIVOT FILTER:Tuesday, 20 November 12
  15. 15. PIVOT FILTER:Tuesday, 20 November 12
  16. 16. NO ONE GETS HURT. http://exzuberant.blogspot.co.uk/2012/06/its-trigonometry-jim-but-not-as-we-know.htmlTuesday, 20 November 12
  17. 17. 5. THE GETAWAY 1. Text data? Wordle, Tagxedo 2. Numbers? Charts 3. Geo? Fusion Tables, BatchGeoTuesday, 20 November 12
  18. 18. THE GETAWAY:Tuesday, 20 November 12
  19. 19. NO ONE GETS HURT.Tuesday, 20 November 12
  20. 20. NO ONE GETS HURT?Tuesday, 20 November 12
  21. 21. @PAULBRADSHAW ONLINEJOURNALISMBLOG.COM HELPMEINVESTIGATE.COMTuesday, 20 November 12

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