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Vis101 - Visualization Andrey Karsakov vi su al i za tion 1. Formation of mental visual images 2. The act or process of interpreting in visual terms or of putting into visible form The American Heritage Dictionary


  1. Vis101 - Visualization Andrey Karsakov

  2. vi ▪ su ▪ al ▪ i ▪ za ▪ tion 1. Formation of mental visual images 2. The act or process of interpreting in visual terms or of putting into visible form The American Heritage Dictionary

  3. Visualization Definition

  4. Why Visualize? To inform humans: Communication How did the unemployment and labor force develop over the last years? When questions are not well defined: Exploration Which combination of genes causes cancer? Which drug can help patient X? [New York Times]

  5. Purpose of Visualization [Obama Administration] Open Exploration Confirmation Communication

  6. Example Communication [New York Times]

  7. Example Exploration: Cancer Subtypes [Caleydo StratomeX]

  8. Why Graphics? Figures are richer; provide more information with less clutter and in less space. Figures provide the gestalt effect: they give an overview; make structure more visible. Figures are more accessible, easier to understand, faster to grasp, more comprehensible, more memorable, more fun, and less formal. List adapted from: [Stasko et al. 1998]

  9. When not to visualize? When to automate? Well defined question on well-defined dataset Which gene is most frequently mutated in this set of patients? What is the current unemployment rate? Decisions needed in minimal time High frequency stock market trading: which stock to buy/sell? Manufacturing: is bottle broken?

  10. The Ability Matrix

  11. Why Use Computers? Scale Drawing by hand infeasible Interaction allows to “ drill down ” into data Integration with algorithms [Sunburst Visualization]

  12. Why Use Computers? Efficiency Re-use charts for different datasets Quality Precise data driven rendering Storytelling Use time

  13. Tell Stories [New York Times]

  14. Why not just use Statistics? I II III IV x y x y x y x y 10 8.0 10 9.1 10 7.4 8 6.5 8 6.9 8 8.1 8 6.7 8 5.7 13 7.5 13 8.7 13 12. 8 7.7 9 8.8 9 8.7 9 7.1 8 8.8 11 8.3 11 9.2 11 7.8 8 8.4 14 9.9 14 8.1 14 8.8 8 7.0 6 7.2 6 6.1 6 6.0 8 5.2 4 4.2 4 3.1 4 5.3 19 12. 12 10. 12 9.1 12 8.1 8 5.5 7 4.8 7 7.2 7 6.4 8 7.9 Mean x: 9 y: 7.50 5 5.6 5 4.7 5 5.7 8 6.8 Variance x: 11 y: 4.122 Correlation x – y: 0.816 Linear regression: y = 3.00 + 0.500x

  15. Anscombe’s Quartett Mean x: 9 y: 7.50 Variance x: 11 y: 4.122 Correlation x – y: 0.816 Linear regression: y = 3.00 + 0.500x

  16. Good Data Visualization … makes data accessible … combines strengths of humans and computers … enables insight … communicates

  17. How did we get here?

  18. Record Anaximander of Miletus, c. 550 BC Konya town map, Turkey, c. 6200 BC Milestones project

  19. Record William Curtis (1746-1799) Galileo Galilei, 1616 Leonardo Da Vinci, ca. 1500 The History of Visual Communication The Galileo Project, Rice University

  20. Record E. J. Muybridge, 1878

  21. Analyze Planetary Movement Diagram, c. 950 Halley’s Wind Map, 1686

  22. Analyze W. Playfair, 1786 W. Playfair, 1801 [wikipedia.org]

  23. Find Patterns John Snow, 1854 [E. Tufte, Visual Explanations, 1997]

  24. Communicate C.J. Minard, 1869 [E. Tufte, C.J. Minard, 1869 Writings, Artworks, News]

  25. Communicate London Subway Map, 1927

  26. Communicate Harry Beck, 1933

  27. New York Times, 2010

  28. T. Fradet

  29. Jerome Cukier, D3 Writeup About the Map

  30. Interact Ivan Sutherland, Sketchpad, 1963 Doug Engelbart, 1968

  31. Analyze M. Wattenberg, 2005

  32. Communicate Hans Rosling, TED 2006

  33. Big Data 15 Exabytes in Punch Cards: 4.5 km over New England 2010: 1,200 exabytes, largely unstructured Google stores ~10 exabytes (2013) Hard disk industry ships ~8 exabytes/year

  34. http://onesecond.designly.com/

  35. “The ability to take data— to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — that’s going to be a hugely important skill in the next decades, … because now we really do have essentially free and ubiquitous data .” Hal Varian, Google’s Chief Economist The McKinsey Quarterly, Jan 2009

  36. Limits of Cognition Daniel J. Simons and Daniel T. Levin, Failure to detect changes to people during a real world interaction, 1998

  37. Limits of Cognition Which gender or income level group shows different effects of age on cholesterol levels? Mal ales Fem emales Inc ncome Group Under 65 65 or Over Under 65 65 or Over 0-$2 $24, 4,999 99 250 200 375 550 $25,0 ,000+ 430 300 700 500

  38. Visual Queries

  39. “It is things that make us smart” Donald A. Norman The History of Visual Communication

  40. The History of Visual Communication

  41. Visual Thinking Collection, Dave Grey Idea Maps, by Jamie Nast

  42. Visualization “Visualization is really about external cognition, that is, how resources outside the mind can be used to boost the cognitive capabilities of the mind.” Stuart Card

  43. Who are we?

  44. Andrey Karsakov

  45. Scientific Visualization Group

  46. Our Research Visualization, Graphics etc.

  47. About You

  48. Structure & Goals

  49. Vis101 Goals

  50. No Device Policy

  51. Information - kapc3d.github.io

  52. Communicate

  53. Course Components Lectures Reading Discussion Theory Sections D3 reading Design Lecture Self-study Design Studios Office hours Design Skills Coding Skills

  54. Sections

  55. Schedule

  56. Required Books All book covers are clickable

  57. Complementary Books a lot of various additional and interesting stuff here: LINK All book covers are clickable

  58. Programming

  59. Is this course for me ???

  60. Prerequisites

  61. This Week  

  62. Next Week  

  63. https://github.com/kapc3d/vis101 • •

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