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DATA JOURNALISM Mitzi Lewis, Midwestern State University “ Geeks - The New Journalists” panel AEJMC  2011 conference AuguS...
 
WHY DATA JOURNALISM? <ul><li>“ Data-driven journalism is the future” </li></ul><ul><li>-Tim Berners-Lee,  inventor of the ...
FIRST ISSUE OF THE  GUARDIAN
FLORENCE NIGHTINGALE – MORTALITY IN THE ARMY Source:   http://www.guardian.co.uk/news/datablog/2010/aug/13/florence-nighti...
DETROIT RIOTS Source:  http://quod.lib.umich.edu
WHAT IS DATA JOURNALISM? <ul><li>“ incomprehensibly enormous” </li></ul><ul><li>–  Paul Bradshaw, data journalism  trainer...
WHAT IS DATA JOURNALISM? <ul><li>Investigative research </li></ul><ul><li>Statistics </li></ul><ul><li>Design </li></ul><u...
Source:  http://nmd.arkena.tv/012898356641464/go-figure
DATA JOURNALISM = A PROCESS Source:  http://datadrivenjournalism.net/
 
IPEDS DATA CENTER
COMPARE INDIVIDUAL INSTITUTIONS
WHAT DATA WOULD YOU LIKE TO ACCESS?
CLICK ‘CONTINUE’
SELECT INSTITUTIONS
SELECT YOUR COMPARISON INSTITUTIONS
SELECT INSTITUTIONS BY VARIABLES
BROWSE/SEARCH VARIABLES
CLICK ‘+’ TO  EXPAND VARIABLES
VARIABLES
MAKE SELECTION: YEARS  AND COST OF ATTENDANCE
MAKE SELECTION: YEAR, STATE, AND SECTOR
VERIFY VARIABLES
CLICK ‘CONTINUE’
SPECIFY VALUES TO DEFINE INSTITUTION GROUP
SPECIFY VALUES FOR INSTITUTION GROUP (VARIABLE = STATE)
SPECIFY VALUES FOR INSTITUTION GROUP (VARIABLE = SECTOR)
VERIFY SELECTIONS SAVED THEN CLICK ‘SUBMIT’
CHECK  INSTITUTION LIST
CLICK ‘CONTINUE’
VARIABLES AVAILABLE FOR EXTRACTION
SELECT VARIABLES
CLICK ‘CONTINUE’
OUTPUT SPECIFICATION
CHOOSE TABLE NAME, VARIABLE SPECIFICATIONS, & OUTPUT FORMAT; CLICK ‘CONTINUE’
DOWNLOADED FILE
 
7 HABITS OF HIGHLY EFFECTIVE DATA GEEKS <ul><li>Document your processes </li></ul><ul><li>List source and date of download...
QUESTIONS/ COMMENTS <ul><li>Contact info: </li></ul><ul><li>Email: mitzi.lewis@mwsu.edu </li></ul><ul><li>Twitter: @mitzil...
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Data Journalism

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Slides to accompany an AEJMC panel presentation; a brief introduction to data journalism and a hands-on exercise using IPEDS data

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Data Journalism

  1. 1. DATA JOURNALISM Mitzi Lewis, Midwestern State University “ Geeks - The New Journalists” panel AEJMC 2011 conference AuguST 12, 2011
  2. 3. WHY DATA JOURNALISM? <ul><li>“ Data-driven journalism is the future” </li></ul><ul><li>-Tim Berners-Lee, inventor of the World Wide Web </li></ul>Source : http://www.guardian.co.uk/ media/2010/nov/22/data-analysis-tim-berners-lee
  3. 4. FIRST ISSUE OF THE GUARDIAN
  4. 5. FLORENCE NIGHTINGALE – MORTALITY IN THE ARMY Source: http://www.guardian.co.uk/news/datablog/2010/aug/13/florence-nightingale-graphics#
  5. 6. DETROIT RIOTS Source: http://quod.lib.umich.edu
  6. 7. WHAT IS DATA JOURNALISM? <ul><li>“ incomprehensibly enormous” </li></ul><ul><li>– Paul Bradshaw, data journalism trainer at the Guardian </li></ul>
  7. 8. WHAT IS DATA JOURNALISM? <ul><li>Investigative research </li></ul><ul><li>Statistics </li></ul><ul><li>Design </li></ul><ul><li>Programming </li></ul>
  8. 9. Source: http://nmd.arkena.tv/012898356641464/go-figure
  9. 10. DATA JOURNALISM = A PROCESS Source: http://datadrivenjournalism.net/
  10. 12. IPEDS DATA CENTER
  11. 13. COMPARE INDIVIDUAL INSTITUTIONS
  12. 14. WHAT DATA WOULD YOU LIKE TO ACCESS?
  13. 15. CLICK ‘CONTINUE’
  14. 16. SELECT INSTITUTIONS
  15. 17. SELECT YOUR COMPARISON INSTITUTIONS
  16. 18. SELECT INSTITUTIONS BY VARIABLES
  17. 19. BROWSE/SEARCH VARIABLES
  18. 20. CLICK ‘+’ TO EXPAND VARIABLES
  19. 21. VARIABLES
  20. 22. MAKE SELECTION: YEARS AND COST OF ATTENDANCE
  21. 23. MAKE SELECTION: YEAR, STATE, AND SECTOR
  22. 24. VERIFY VARIABLES
  23. 25. CLICK ‘CONTINUE’
  24. 26. SPECIFY VALUES TO DEFINE INSTITUTION GROUP
  25. 27. SPECIFY VALUES FOR INSTITUTION GROUP (VARIABLE = STATE)
  26. 28. SPECIFY VALUES FOR INSTITUTION GROUP (VARIABLE = SECTOR)
  27. 29. VERIFY SELECTIONS SAVED THEN CLICK ‘SUBMIT’
  28. 30. CHECK INSTITUTION LIST
  29. 31. CLICK ‘CONTINUE’
  30. 32. VARIABLES AVAILABLE FOR EXTRACTION
  31. 33. SELECT VARIABLES
  32. 34. CLICK ‘CONTINUE’
  33. 35. OUTPUT SPECIFICATION
  34. 36. CHOOSE TABLE NAME, VARIABLE SPECIFICATIONS, & OUTPUT FORMAT; CLICK ‘CONTINUE’
  35. 37. DOWNLOADED FILE
  36. 39. 7 HABITS OF HIGHLY EFFECTIVE DATA GEEKS <ul><li>Document your processes </li></ul><ul><li>List source and date of download/access in files </li></ul><ul><li>Save original files </li></ul><ul><li>Use conceptual names </li></ul><ul><li>Use hierarchy when saving files </li></ul><ul><li>Save a working copy of your file and use it for your data analysis </li></ul><ul><li>Back up your data </li></ul>
  37. 40. QUESTIONS/ COMMENTS <ul><li>Contact info: </li></ul><ul><li>Email: mitzi.lewis@mwsu.edu </li></ul><ul><li>Twitter: @mitzilewis </li></ul><ul><li>LinkedIn: linkedin.com/in/mitzilewis </li></ul><ul><li>Google+: gplus.to/mitzilewis </li></ul>

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