Data Viz CE QUITN 2014: Intro and Overview

1. FUNDAMENTALS OF
DATA VISUALIZATION
Quint 2014
http://libguides.ohsu.edu/DataViz

2. Hello there!

3. Hello there!
What is graphical
excellence?

4. Hello there!
how can I make my data visually Excellent?

5. What this class is not about…

10. Aim Here!
pretty
ugly
useful
crap
Today’s Lecture

11. Without
Programming
Or software!
pretty
ugly
useful
crap
Today’s Lecture

12. 1 | Vision & the Brain
2 | Color
3 | Toolkit
4 | Storytelling
5 | Library

13. 0 | foundations

14. Who |What | why | how

15. Who |What | why | how

16. Introduction
Exercise

17. 1: Draw a graph about yourself
2: why are you taking this ce?

23. 1: Draw a graph about yourself
2: why are you taking this ce?

24. Hello there!

25. Who |What | why | how

26. What is data visualization?

27. “Data visualization reveals patterns, communicates ideas and effectively presents information using the power of perception to offload cognition”
-Hanspeter Pfister

28. Record
E. J. Muybridge, 1878
Konya town map, Turkey, c. 6200 BC

29. Analyze
Planetary Movement Diagram, c. 950
W. Playfair,1759-1823

30. Patterns
John Snow, 1854

34. Communicate
C.J. Minard, 1869
F. Nightingale, 1856

35. http://hint.fm/wind/
interact

36. explore
http://www.babynamewizard.com/

37. Storytelling
http://www.gapminder.org/

38. Who |What | why | how

39. Why is vision important?

41. “If information is presented orally, people remember about 10%... That number goes up by 65% if you add a picture.”

42. “If information is presented orally, people remember about 10%... That number goes up by 65% if you add a picture.”
*

43. Oculata certitudine

45. Why Visual abstraction?

46. 867-5309

47. 865-5309

48. 865-5309

49. “What I am really try to do is bring birth to clarity… It's all visual. It's hard to explain.”
-Feynman

50. Ethics

51. “With great power
comes great
responsibility…”
-Uncle Ben, Spiderman

52. Name
Pie
A
39.0%
Other
21.2%
B
19.5%
C
9.8%
D
7.4%
E
3.1%

53. Name
Pie
A
39.0%
Other
21.2%
B
19.5%
C
9.8%
D
7.4%
E
3.1%

54. 39
21.2
19.5
9.8
7.4
3.1
A
Other
B
C
D
E
Name
Percent of Pie

55. Name
39
19.5
9.8
7.4
3.1
21.2
A
B
C
D
E
Other
Percent of Pie

57. Who| what | why | how

58. How do we go about this?

59. Vision & the Mind

60. Color

61. Toolkit
ψ

62. Storytelling

63. “When we make a visualization from our data, we are telling a story, and a good story helps us gain insights.”
-Steven B

64. FUNDAMENTALS OF
DATA VISUALIZATION
Introduction and Overview