Data Visualization for Drought & Cross Border Crisis

474 views

Published on

Published in: Education, Technology
  • Be the first to comment

  • Be the first to like this

Data Visualization for Drought & Cross Border Crisis

  1. 1. Data Visualization for Drought & Cross Border Crisis October 31, 2013 Angela Zoss Data Visualization Coordinator Data & GIS Services, 226 Perkins http://bit.ly/190FS13
  2. 2. Data Visualization http://guides.library.duke.edu/datavis/
  3. 3. What is Data Visualization? a general way of talking about anything that converts data sources into a visual representation (charts, graphs, maps, even just tables) http://guides.library.duke.edu/datavis
  4. 4. Why Visualize? •  Explain complex concepts quickly and effectively Anscombe’s Quartet I II III IV x y x y x y x y 10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58 8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76 13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71 9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84 11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47 14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04 6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25 4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50 12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56 7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91 5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89 Property Value Mean of x 9 Variance of x 11 Mean of y 7.50 Variance of y 4.122 or 4.127 Correlation between x and y 0.816 Linear regression line (exact) (exact) (to 2 decimal places) (to 3 decimal places) (to 3 decimal places) y = 3.00 + 0.500x (to 2 and 3 decimal places, respectively) http://en.wikipedia.org/wiki/Anscombe%27s_quartet
  5. 5. Why Visualize? •  Explain complex concepts quickly and effectively Anscombe’s Quartet http://en.wikipedia.org/wiki/Anscombe%27s_quartet
  6. 6. Why Visualize? •  Translate something typically invisible into the visible http://blogs.library.duke.edu/data/2012/11/12/adding-colored-regions-to-excel-charts/
  7. 7. Why Visualize? •  Use visuals to contextualize data, tell a story, or possibly even mobilize action around a problem Hans Rosling – The River of Myths http://www.youtube.com/watch?v=OwII-dwh-bk http://www.gapminder.org/
  8. 8. CREATING A VISUALIZATION
  9. 9. From Data to Graphic •  What data types are present in the data source? •  How are the variables likely to relate? •  What visualization type seems to be the best fit for the goal?
  10. 10. Chart Choosers http://extremepresentation.typepad.com/blog/2006/09/choosing_a_good.html
  11. 11. Common Visualization Types Showing Space See LibGuide (http://guides.library.duke.edu/vis_types) for examples and tools.
  12. 12. Common Visualization Types Showing Time See LibGuide (http://guides.library.duke.edu/vis_types) for examples and tools.
  13. 13. Common Visualization Types Showing Numbers See LibGuide (http://guides.library.duke.edu/vis_types) for examples and tools.
  14. 14. Common Visualization Types Showing Relationships See LibGuide (http://guides.library.duke.edu/vis_types) for examples and tools.
  15. 15. Design Tips for Graphics For general tips on designing charts and graphs, see slides from charting workshop: Top 10 Dos and Don’ts for Charts and Graphs (http://guides.library.duke.edu/topten)
  16. 16. EXAMPLES
  17. 17. Somalia famine: how the world responded http://gu.com/p/35jmt
  18. 18. Somalia famine: how the world responded http://gu.com/p/35jmt
  19. 19. Towards the Environment and Water as Human Rights Alexis Wallace, Kyle Karnuta, and Adrien Comte http://tinyurl.com/environmentalhumanrights
  20. 20. South Sudan in Movement Stefani Jones, Kendra Kirsonis, Saira Butt, Danielle Mayall http://sites.duke.edu/southsudaninmovement/
  21. 21. Flight & Expulsion http://www.niceone.org/lab/refugees/
  22. 22. TOOLS
  23. 23. TimelineJS http://timeline.knightlab.com/
  24. 24. Timeliner http://timeliner.okfnlabs.org/
  25. 25. StoryMapJS http://storymap.knightlab.com/
  26. 26. Tableau http://guides.library.duke.edu/tableau
  27. 27. JMP Pro https://oit.duke.edu/comp-print/software/license/detail.php?id=4 http://www.jmp.com/support/help/Essential_Graphing.shtml
  28. 28. Raw http://raw.densitydesign.org/
  29. 29. ManyEyes http://www.ibm.com/manyeyes
  30. 30. Plot.ly https://plot.ly/
  31. 31. Other Tools •  Google Spreadsheets similar to charts in Excel, but more options and can publish an interactive version of the chart, embed into other websites •  Silk (http://www.silk.co/) creates websites and basic maps/visualizations in the browser •  DataWrapper (http://datawrapper.de/) in-browser visualizations (line, bar, pie, donut, table)
  32. 32. GETTING HELP
  33. 33. Data & GIS Services •  Data collections, LibGuides, etc. http://library.duke.edu/data/ •  Blog (tutorials, announcements, etc.) http://blogs.library.duke.edu/data/ •  Walk-in consultations http://library.duke.edu/data/about/schedule.html (or by appointment – askdata@duke.edu) •  Perkins 226 computing cluster http://library.duke.edu/data/about/lab.html (fast hardware, diverse software) •  Additional workshops http://library.duke.edu/data/news/ (listserv – dgs-announce@duke.edu)
  34. 34. Visualization venues at Duke •  •  •  •  •  Student Data Visualization Contest http://bit.ly/viscontest14 http://bit.ly/dukevis Flickr gallery http://bit.ly/VFF2013 Visualization Friday Forum http://bit.ly/mediawall LINK MediaWall http://library.duke.edu/exhibits Library exhibit spaces
  35. 35. Student Data Visualization Contest http://bit.ly/viscontest14 | http://bit.ly/visgallery •  •  •  •  Open to Duke students Submit any type of visualization Deadline January 19 2014 Awards: $250/$150/$100 prizes, public exhibits, posters
  36. 36. QUESTIONS? SUGGESTIONS? angela.zoss@duke.edu http://twitter.com/duke_vis

×