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Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
Data Journalism
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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

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/
  • Transcript

    • 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
    • 4. FIRST ISSUE OF THE GUARDIAN
    • 5. FLORENCE NIGHTINGALE – MORTALITY IN THE ARMY Source: http://www.guardian.co.uk/news/datablog/2010/aug/13/florence-nightingale-graphics#
    • 6. DETROIT RIOTS Source: http://quod.lib.umich.edu
    • 7. WHAT IS DATA JOURNALISM? <ul><li>“ incomprehensibly enormous” </li></ul><ul><li>– Paul Bradshaw, data journalism trainer at the Guardian </li></ul>
    • 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>
    • 9. Source: http://nmd.arkena.tv/012898356641464/go-figure
    • 10. DATA JOURNALISM = A PROCESS Source: http://datadrivenjournalism.net/
    • 11.  
    • 12. IPEDS DATA CENTER
    • 13. COMPARE INDIVIDUAL INSTITUTIONS
    • 14. WHAT DATA WOULD YOU LIKE TO ACCESS?
    • 15. CLICK ‘CONTINUE’
    • 16. SELECT INSTITUTIONS
    • 17. SELECT YOUR COMPARISON INSTITUTIONS
    • 18. SELECT INSTITUTIONS BY VARIABLES
    • 19. BROWSE/SEARCH VARIABLES
    • 20. CLICK ‘+’ TO EXPAND VARIABLES
    • 21. VARIABLES
    • 22. MAKE SELECTION: YEARS AND COST OF ATTENDANCE
    • 23. MAKE SELECTION: YEAR, STATE, AND SECTOR
    • 24. VERIFY VARIABLES
    • 25. CLICK ‘CONTINUE’
    • 26. SPECIFY VALUES TO DEFINE INSTITUTION GROUP
    • 27. SPECIFY VALUES FOR INSTITUTION GROUP (VARIABLE = STATE)
    • 28. SPECIFY VALUES FOR INSTITUTION GROUP (VARIABLE = SECTOR)
    • 29. VERIFY SELECTIONS SAVED THEN CLICK ‘SUBMIT’
    • 30. CHECK INSTITUTION LIST
    • 31. CLICK ‘CONTINUE’
    • 32. VARIABLES AVAILABLE FOR EXTRACTION
    • 33. SELECT VARIABLES
    • 34. CLICK ‘CONTINUE’
    • 35. OUTPUT SPECIFICATION
    • 36. CHOOSE TABLE NAME, VARIABLE SPECIFICATIONS, & OUTPUT FORMAT; CLICK ‘CONTINUE’
    • 37. DOWNLOADED FILE
    • 38.  
    • 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>
    • 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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