Beyond the Bar Chart (BLC10)

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Beyond the Bar Chart (BLC10)

  1. 1. Beyond the Bar Chart Data Visualization with Many Eyes Shelley Paul - BLC10 July 14, 2010 Resources: http://manyeyes.posterous.com/
  2. 2. Disclaimer...
  3. 3. http://www.flickr.com/photos/rltherichman/4357896793/
  4. 4. http://www.flickr.com/photos/lwr/4792919396/
  5. 5. Let’s collect some data... http://moourl.com/whoform
  6. 6. Why are we here? Learn a bit about Data Visualization. Explore “Many Eyes.” Dwell in possibility. Be inspired! http://www.flickr.com/photos/helga/3952984450/
  7. 7. What is Data Visualization? http://newsmap.jp/
  8. 8. What is Data Visualization? Using pictures (commonly charts and graphs) to help people make sense of complex information. It’s POWERFUL.
  9. 9. Why Data Visualization? Hans Rosling’s 2006 TED Talk UN Data http://www.gapminder.org/
  10. 10. Why Data Visualization? Story Patterns & Relationships Conversation Questioning
  11. 11. Brain Rule #10: Vision Trumps all Other Senses The optic nerve is constructed of about 1 million nerve fibers; That’s HIGH BRAIN BANDWIDTH (to paraphrase @djakes). http://www.flickr.com/photos/kerneis/2505170265/ http://www.brainrules.net/vision
  12. 12. It’s about Story... http://www.readwriteweb.com/archives/ tag_clouds_of_obamas_inaugural_speec h_compared_to_bushs.php
  13. 13. What’s the Story?
  14. 14. What’s the Story? http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/distribution-of-us-foreign-aid-ove-3
  15. 15. What’s the Story? Jesus was a “super node.” http://manyeyes.alphaworks.ibm.com/manyeyes/visualizations/co-occurrences-of-names-in-the-new
  16. 16. It’s about Visual Literacy... http://www.flickr.com/photos/whitecatsg/3623744135/
  17. 17. Geographically accurate... http://elections.nytimes.com/2008/president/whos-ahead/key-states/map.html
  18. 18. ...but visually misleading. Mass. N.J. Montana: 3 votes Massachusetts: 12 votes Idaho: 4 votes New Jersey: 15 votes
  19. 19. The visual “fix...” http://elections.nytimes.com/2008/president/whos-ahead/key-states/map.html
  20. 20. “Cumulative Oil Collected” http://flowingdata.com/2010/05/26/bp-tries-to-mislead-you-with-graphs/
  21. 21. A clearer view... https://www.swivel.com/charts/21190-How-much-oil-has-BP-diverted-from-the-spill-
  22. 22. What’s up with apricots?
  23. 23. It’s about Info Literacy... http://www.flickr.com/photos/verbeeldingskr8/3638834128/
  24. 24. What’s true? http://moourl.com/titanickids
  25. 25. What’s true? http://moourl.com/titanickids
  26. 26. And back to Story... Name: Miss Helen Loraine Allison Born: Saturday 5th June 1909 Age: 2 years 10 months and 10 days 1st Class passenger First Embarked: Southampton on Wednesday 10th April 1912 Ticket No. 113781 , £151 16s Cabin No.: C22/26 Died in the sinking Body Not Recovered http://www.encyclopedia-titanica.org/titanic-first-class-passengers/
  27. 27. It’s about Curiosity...
  28. 28. Curiosity...
  29. 29. ...and Passion.
  30. 30. Friedman’s Flat World “formula:” CQ + PQ > IQ http://www.aasa.org/SchoolAdministratorArticle.aspx?id=5996&terms=pink+friedman
  31. 31. Igniting my “CQ...”
  32. 32. Igniting my “CQ...”
  33. 33. My initial “CQ” questions... Why is there so little “oil spill” content prior to 1967? Why are these two spills the most “Google”-able? How does the Exxon-Valdez spill compare to the current disaster?
  34. 34. My “CQ” discoveries... ? Less offshore drilling, spilling, news coverage, fewer archives? It’s about where I live! Not even close.
  35. 35. Lakeview Gusher 1910 Expand the Search
  36. 36. It’s about where I live! http://www.infoplease.com/science/environment/largest-oil-spills-united-states.html
  37. 37. Not even close... PBS Ticker | 10 Biggest
  38. 38. It’s about HEAT... http://www.flickr.com/photos/piero/23712191/
  39. 39. Higher-order thinking Engagement Authenticity Technology use http://loticonnection.com/HEATframework.html http://moourl.com/sc_engage
  40. 40. 2-Minute Tour (a la Web 2.0 Smackdown) ‣ Gallery ‣ Data Sets ‣ Viz Types http://manyeyes.alphaworks.ibm.com/manyeyes/
  41. 41. Activity: Why “Many Eyes?” (You Tell Me!) “Buddy up” and explore Many Eyes (take turns driving). Check out something that interests you. Consider: Interaction / Experimentation Story / Questions / Curiosity Make/break something!
  42. 42. What did you discover? http://www.flickr.com/photos/shutterhack/3109603395/
  43. 43. Why “Many Eyes?” ‣ Democratic / Social / Collaborative ‣ Free, browser-based (no download) ‣ Innovative/Experimental (esp. text) ‣ Invites play and discovery! http://manyeyes.alphaworks.ibm.com/manyeyes/
  44. 44. So, who’s in the room? http://manyeyes.alphaworks.ibm.com/manyeyes/ http://manyeyes.alphaworks.ibm.com/manyeyes/ http://moourl.com/whodata visualizations/new/matrix-chart/whos-in-the-room-at-blc/1
  45. 45. Where do you find data? Collect your own! Online! ‣ Govt sites, Research/Edu, NGO, NPO ‣ DASL, Swivel, Many Eyes libraries ‣ Search: filetype:xls, “data,” “statistics” ‣ Text: Project Gutenberg, Bartleby, full-text news, journals, poetry ‣ Wikipedia (gateway tool)
  46. 46. Activity: Bring the HEAT! Small group brainstorm: considering your own context, how might you use Many Eyes to... ‣ Increase students’ critical thinking? ‣ Engage learners in work that has value? ‣ Connect beyond the classroom? ‣ Support your own PD or passions? Hot Ideas: http://moourl.com/hotideas
  47. 47. Other places to “play” with data... ‣ Swivel Public - http://www.swivel.com/public ‣ Gapminder - http://www.gapminder.org/ ‣ Tableau - http://www.tableausoftware.com/public ‣ Google Chart Tools - http://moourl.com/gchart
  48. 48. An Invitation... Join the BLC10 Topic Center. How can we use Many Eyes to support student thinking, learning and curiosity? http://gapingvoid.com/2007/04/09/the-network/

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