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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  • Wordle of http://www.guardian.co.uk/news/datablog 7/19/11
  • http://www.guardian.co.uk/media/2010/nov/22/data-analysis-tim-berners-lee http://www.w3.org/People/Berners-Lee/
  • 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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