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Data journalism

              HEIST
Tuesday, 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, set up alerts e.g. Change Detection
Tuesday, 20 November 12
GETTING IN
   1. site:gov.uk
   2. filetype:xls
   3. “exact phrase”

  Task: find key contextual datasets, e.g. school addresses;
  regional populations; codes
Tuesday, 20 November 12
FLOORPLAN 1:




Tuesday, 20 November 12
GET IN QUICK:
   Find data for local council
   expenditure over £500



Tuesday, 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 check


Tuesday, 20 November 12
3. PIVOT TABLES:
   1. Data > Pivot table report
   2. Rows: your focus
   3. Values: your count/sum/etc.


Tuesday, 20 November 12
4. FILTER:
   1. Create mini table on same
   sheet with key headings
   2. Use * wildcard
   3. Data > Advanced filter

Tuesday, 20 November 12
FILTERS:




Tuesday, 20 November 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.html

Tuesday, 20 November 12
5. THE CLEAN-UP:
   1. Other data only hidden
   2. Copy filtered data and paste
   into new sheet
   3. Generate new pivot table
   from that
Tuesday, 20 November 12
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-know.html
Tuesday, 20 November 12
5. THE GETAWAY
   1. Text data? Wordle, Tagxedo
   2. Numbers? Charts
   3. Geo? Fusion Tables,
   BatchGeo

Tuesday, 20 November 12
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.COM




Tuesday, 20 November 12

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The data journalism heist

  • 1. Data journalism HEIST Tuesday, 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 Detection Tuesday, 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; codes Tuesday, 20 November 12
  • 6. GET IN QUICK: Find data for local council expenditure over £500 Tuesday, 20 November 12
  • 8. 2. THE TOP LINE: 1. Top of the flops/pops 2. Unusual entry/change 3. Fact check Tuesday, 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 filter 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.html Tuesday, 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 that Tuesday, 20 November 12
  • 16. NO ONE GETS HURT. http://exzuberant.blogspot.co.uk/2012/06/its-trigonometry-jim-but-not-as-we-know.html Tuesday, 20 November 12
  • 17. 5. THE GETAWAY 1. Text data? Wordle, Tagxedo 2. Numbers? Charts 3. Geo? Fusion Tables, BatchGeo 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.COM Tuesday, 20 November 12