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Data for-radicals-lesson-1

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Data for-radicals-lesson-1

  1. 1. Data  Visualization  For  Beginners     Instructor:  @lisawilliams   Hashtag:  #D4R     http://dataforradicals.com   For  links  to  projects  &  presentation   materials  &  more  
  2. 2. Persuasive,   Visual,  Shareable  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  3. 3. Data  visualization   is  expressive  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  4. 4. Data  visualization   is  persuasive  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  5. 5. Recovery  Tracker  WNYC SnowMapTool: FusionTablesIntermediate
  6. 6. Data  visualization   is  shareable  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  7. 7. 1,200,000  
  8. 8. Because  data  is   more  available   now  than  ever   before  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  9. 9. @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  10. 10. Because  data   visualization  is   easier  than  ever   before  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  11. 11. Nonprofit  News  Organizations  NonprofitNewsTool: ManyEyesBeginner
  12. 12. Population  Data  BaseballSalariesTool:BuzzDataIntermediate
  13. 13. Seattle  Times  Foreclosures  Seattle TimesForeclosureCrisisTool: TableauPublicIntermediate
  14. 14. Myths  about   dataviz  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  15. 15. Myths  about  dataviz   Data  visualization     is  new   @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  16. 16. Myths  about  dataviz   Regular  people   don’t  want  data   @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  17. 17. Data  is  boring  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  18. 18. Data  visualization  is  too   hard  for  regular  folks  to   learn  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  19. 19. GrassrootsMappingTool: CartagenKnitting
  20. 20. Cartagen  oil  spill  
  21. 21. Exercise  1:  Show  It  To  Me  On  A   Map  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  22. 22. Why  do  we  do  data   visualization?    @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  23. 23. 48
  24. 24. 49
  25. 25. What’s  Wrong  With  This  Chart?   50
  26. 26. 51
  27. 27. 52
  28. 28. 53
  29. 29. Exercise  2:  The  Imaginary   Lobbyist  @LisaWILLIAMS DATAFORRADICALS.COM #D4R
  30. 30. Introducing     Processing   55
  31. 31. 56
  32. 32. 57

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