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Data
                    Monica Bulger & Aaron Sobel
Visualization   Bren School of Environmental Science
                                      & Management

                University of California, Santa Barbara

                                  November 30, 2009
Data visualized in 2009 Group Projects




       --images from “Pathway to Self-Funding,” “Cumulative Impacts of Large-Scale Renewable Energy Development in the West Mojave,” “Management
Recommendations for Piute Ponds, EAB,” and “Post-Fire Sedimentation and Flood Risk Potential in the Mission Creek Watershed of Santa Barbara,” available
                                                                                                        at http://www.bren.ucsb.edu/research/gp2009.htm
Who is your
audience?
What is your inform
 purpose?
             request

             advocate

             publicize

             what else?
Re-think how you
   represent data
--image from visualcomplexity.com
Think visually




                 --image from visualcomplexity.com
What is your data story?




 --image from Design & the Elastic Mind exhibition, “The Million Dollar Blocks Project” available at http://www.moma.org
“Data slides aren’t really about data.
They are about the meaning of data.”
                            --Duarte (2008)
Maps tell stories
        visually
--image from Design & the Elastic Mind exhibition, “New York Talk Exchange” available at http://www.moma.org
Barack Obama Personal Visits by State
       Jan 2007 - Feb 2008




 --Image created by graduate students in UCSBʼs Geography Department using data from IGERT “Issue Browser” project (2009)
3-D allows for visualizing complex data




                -- Time Magazine http://www.time.com/time/covers/20061030/where_we_live/
Visualizing the distance to the nearest McDonald’s




                            --Image from infosthetics, available at http://www.infosthetics.com
Stacked Graph




Each colored layer represents a musician, progressing from left to right through
the eighteen month span growing wider when listening was more frequent, and
                          skinnier when it was not.
                                                    -- Stacked Graph http://www.leebyron.com/what/lastfm/
Stacked Graph




Each colored layer represents a musician, progressing from left to right through
the eighteen month span growing wider when listening was more frequent, and
                          skinnier when it was not.
                                                    -- Stacked Graph http://www.leebyron.com/what/lastfm/
Maps in
practice
Sample GP brief



                                                                         Where is the
                                                                        Cuyama Valley
                                                                            located?




              -- Anderson, C., Dobrowski, B.,
                                            Harris, M., Moreno, E., Roehrdanz, P. (2009). Conservation Assessment for the Cuyama Valley (Project Brief).
Bren School of Environmental Science and Management, University of California, Santa Barbara. Available at http://www.bren.ucsb.edu/research/gp2009.htm
Draw the viewer’s
       attention
Focus on key points




         -- image from Duarteʼs (2008) slide:ology, p. 69
Find the best fit for
representing your data
               visually
Pie charts vs. bar graphs


                                                                                          proportion




comparison




  -- image from Dutton, W.J. & Helsper, E.J. (2007). Oxford Internet Survey 2007 Report: The Internet in Britain. Oxford Internet Institute, UK.
What does the pie chart tell us?
                                                         What information is missing?




--Adlerman, D., Maciejowski, N., Randall, J., Shirley, R. (2009). Management Recommendations for Piute Ponds Edwards Air Force Base, California (Project
    Poster). Bren School of Environmental Science and Management, University of California, Santa Barbara. Available at http://www.bren.ucsb.edu/research/
                                                                                                                                              gp2009.htm
Decision trees
           can show the
          viewer why you
          chose the path
              you did




--Image from FlowingData, available at http://www.flowingdata.com
activity
  In groups of 3, improve the following
  image.
  --Consider what it’s trying to say
  --Identify necessary vs. extraneous
  information
  --How can you clarify the information and
  make it more meaningful for your target
  audience(s)?
Sample GP diagram




              -- Anderson, C., Dobrowski, B.,
                                            Harris, M., Moreno, E., Roehrdanz, P. (2009). Conservation Assessment for the Cuyama Valley (Project Brief).
Bren School of Environmental Science and Management, University of California, Santa Barbara. Available at http://www.bren.ucsb.edu/research/gp2009.htm
GP diagram in context




--Hess, L. , Johnson, P., Karasek, T., Port-Minner, S., Radhakrishnan, U. (2009). Pathway to Self-Funding: A Case Study on the Calfornia Commerical Spiny
                         Lobster Fishery (Project Poster). Bren School of Environmental Science and Management, University of California, Santa Barbara.
                                                                                              Available at http://www.bren.ucsb.edu/research/gp2009.htm
“Slides should be processed in 3 seconds
       or less. It’s impossible for people to
       process your slides and your words
Notes from discussion:
* avoid noise: colors that don’t make sense,
shapes that aren’t significant, arrows that don’t
serve a purpose. This information can be
mis-interpreted.
* if linear relationship, show it, don’t complicate
it with unnecessary info.
* is it necessary for each box to be separate?
Combine related information.
* Thank you to Jim Frew and Darren Hardy for
sharing their expertise throughout the workshop.

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Dataviz Pres1109

  • 1.
  • 2. Data Monica Bulger & Aaron Sobel Visualization Bren School of Environmental Science & Management University of California, Santa Barbara November 30, 2009
  • 3. Data visualized in 2009 Group Projects --images from “Pathway to Self-Funding,” “Cumulative Impacts of Large-Scale Renewable Energy Development in the West Mojave,” “Management Recommendations for Piute Ponds, EAB,” and “Post-Fire Sedimentation and Flood Risk Potential in the Mission Creek Watershed of Santa Barbara,” available at http://www.bren.ucsb.edu/research/gp2009.htm
  • 4.
  • 6.
  • 7. What is your inform purpose? request advocate publicize what else?
  • 8.
  • 9. Re-think how you represent data
  • 11. Think visually --image from visualcomplexity.com
  • 12. What is your data story? --image from Design & the Elastic Mind exhibition, “The Million Dollar Blocks Project” available at http://www.moma.org
  • 13. “Data slides aren’t really about data. They are about the meaning of data.” --Duarte (2008)
  • 14.
  • 15. Maps tell stories visually
  • 16.
  • 17. --image from Design & the Elastic Mind exhibition, “New York Talk Exchange” available at http://www.moma.org
  • 18. Barack Obama Personal Visits by State Jan 2007 - Feb 2008 --Image created by graduate students in UCSBʼs Geography Department using data from IGERT “Issue Browser” project (2009)
  • 19. 3-D allows for visualizing complex data -- Time Magazine http://www.time.com/time/covers/20061030/where_we_live/
  • 20. Visualizing the distance to the nearest McDonald’s --Image from infosthetics, available at http://www.infosthetics.com
  • 21. Stacked Graph Each colored layer represents a musician, progressing from left to right through the eighteen month span growing wider when listening was more frequent, and skinnier when it was not. -- Stacked Graph http://www.leebyron.com/what/lastfm/
  • 22. Stacked Graph Each colored layer represents a musician, progressing from left to right through the eighteen month span growing wider when listening was more frequent, and skinnier when it was not. -- Stacked Graph http://www.leebyron.com/what/lastfm/
  • 24. Sample GP brief Where is the Cuyama Valley located? -- Anderson, C., Dobrowski, B., Harris, M., Moreno, E., Roehrdanz, P. (2009). Conservation Assessment for the Cuyama Valley (Project Brief). Bren School of Environmental Science and Management, University of California, Santa Barbara. Available at http://www.bren.ucsb.edu/research/gp2009.htm
  • 25.
  • 26. Draw the viewer’s attention
  • 27. Focus on key points -- image from Duarteʼs (2008) slide:ology, p. 69
  • 28.
  • 29. Find the best fit for representing your data visually
  • 30. Pie charts vs. bar graphs proportion comparison -- image from Dutton, W.J. & Helsper, E.J. (2007). Oxford Internet Survey 2007 Report: The Internet in Britain. Oxford Internet Institute, UK.
  • 31. What does the pie chart tell us? What information is missing? --Adlerman, D., Maciejowski, N., Randall, J., Shirley, R. (2009). Management Recommendations for Piute Ponds Edwards Air Force Base, California (Project Poster). Bren School of Environmental Science and Management, University of California, Santa Barbara. Available at http://www.bren.ucsb.edu/research/ gp2009.htm
  • 32. Decision trees can show the viewer why you chose the path you did --Image from FlowingData, available at http://www.flowingdata.com
  • 33. activity In groups of 3, improve the following image. --Consider what it’s trying to say --Identify necessary vs. extraneous information --How can you clarify the information and make it more meaningful for your target audience(s)?
  • 34. Sample GP diagram -- Anderson, C., Dobrowski, B., Harris, M., Moreno, E., Roehrdanz, P. (2009). Conservation Assessment for the Cuyama Valley (Project Brief). Bren School of Environmental Science and Management, University of California, Santa Barbara. Available at http://www.bren.ucsb.edu/research/gp2009.htm
  • 35. GP diagram in context --Hess, L. , Johnson, P., Karasek, T., Port-Minner, S., Radhakrishnan, U. (2009). Pathway to Self-Funding: A Case Study on the Calfornia Commerical Spiny Lobster Fishery (Project Poster). Bren School of Environmental Science and Management, University of California, Santa Barbara. Available at http://www.bren.ucsb.edu/research/gp2009.htm
  • 36.
  • 37. “Slides should be processed in 3 seconds or less. It’s impossible for people to process your slides and your words
  • 38.
  • 39.
  • 40. Notes from discussion: * avoid noise: colors that don’t make sense, shapes that aren’t significant, arrows that don’t serve a purpose. This information can be mis-interpreted. * if linear relationship, show it, don’t complicate it with unnecessary info. * is it necessary for each box to be separate? Combine related information.
  • 41.
  • 42. * Thank you to Jim Frew and Darren Hardy for sharing their expertise throughout the workshop.