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The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
The data journalism heist
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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

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

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  • 1. Data journalism HEISTTuesday, 20 November 12
  • 2. THE PLAN:Tuesday, 20 November 12
  • 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. 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. FLOORPLAN 1:Tuesday, 20 November 12
  • 6. GET IN QUICK: Find data for local council expenditure over £500Tuesday, 20 November 12
  • 7. FLOORPLAN 2:Tuesday, 20 November 12
  • 8. 2. THE TOP LINE: 1. Top of the flops/pops 2. Unusual entry/change 3. Fact checkTuesday, 20 November 12
  • 9. 3. PIVOT TABLES: 1. Data > Pivot table report 2. Rows: your focus 3. Values: your count/sum/etc.Tuesday, 20 November 12
  • 10. 4. FILTER: 1. Create mini table on same sheet with key headings 2. Use * wildcard 3. Data > Advanced filterTuesday, 20 November 12
  • 11. FILTERS:Tuesday, 20 November 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. 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. PIVOT FILTER:Tuesday, 20 November 12
  • 15. PIVOT FILTER:Tuesday, 20 November 12
  • 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. 5. THE GETAWAY 1. Text data? Wordle, Tagxedo 2. Numbers? Charts 3. Geo? Fusion Tables, BatchGeoTuesday, 20 November 12
  • 18. THE GETAWAY:Tuesday, 20 November 12
  • 19. NO ONE GETS HURT.Tuesday, 20 November 12
  • 20. NO ONE GETS HURT?Tuesday, 20 November 12
  • 21. @PAULBRADSHAW ONLINEJOURNALISMBLOG.COM HELPMEINVESTIGATE.COMTuesday, 20 November 12

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