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public.asu /~ sdoig /IJF2014/

www.public.asu.edu /~ sdoig /IJF2014/. Data journalism: From idea to story. Steve Doig Cronkite School of Journalism, Arizona State University steve.doig@asu.edu @sdoig. Why do data journalism?. What is “ data ” ?. Finding data story ideas. datadrivenjournalism.net /.

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public.asu /~ sdoig /IJF2014/

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  1. www.public.asu.edu/~sdoig/IJF2014/

  2. Data journalism:From idea to story Steve Doig Cronkite School of Journalism, Arizona State University steve.doig@asu.edu @sdoig

  3. Why do data journalism?

  4. What is “data”?

  5. Finding data story ideas

  6. datadrivenjournalism.net/

  7. IRE’s ExtraExtra feed

  8. theguardian.com/news/datablog

  9. Informants and whistleblowers

  10. Read documents

  11. Work backwards from your idea! • What statements do you want to make? • What variables are needed to make those statements? • Who would collect data with those variables? • How will you get the data from the collector?

  12. 1. Statements? • Lede = hypothesis • Bullet points = statements • Examples for a crime and courts data story: • “Crime has increased/decreased X % since...” • “The X per 100.000 violent crime rate of Y City is the worst ...” • “Only X % of reported crimes result in arrests...”

  13. 2. Variables needed? • Columns = variables • Rows = records • Two main kinds of variables • Categorical: Sex, city, postal code, type of crime, etc... • Numeric: Age, cost, population, weight, arrests, accident, etc...

  14. 3. Who collects those variables?

  15. 4. Get the data!

  16. Public records tools

  17. Data formats?

  18. Avoid PDFs

  19. Avoid PDFs...but if necessary... • Convert to *.xls with: • Acrobat Pro • Zamzar • CometDocs • (many others)

  20. You have data... ...Now what??

  21. Clean the data

  22. Data cleaning tools

  23. Look for patterns

  24. Excel tools • Sort • Filter • Functions • Pivot tables

  25. Brain tools – math and statistics

  26. Brain tools – math and statistics

  27. Friday 1130-1300 (Hotel Sangallo)

  28. EJC MOOC – free!!

  29. Data journalism story elements

  30. Data journalism story elements

  31. Data journalism team • You! • Other reporters • Editors • Graphic artists • Photographers • Videographers • Page designers • Web designers • App developers

  32. Other DDJ workshops

  33. Questions??

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