This document contains the schedule and content for an information visualization course. It discusses the following: - The schedule for practical sessions over several weeks in April and May 2016. - A summary of the "Data-Ink Design Principles" presented by the instructor, including maximizing the data-ink ratio and erasing non-data ink. - Student groups presenting their work and receiving feedback on their visualizations from the instructor and other students. - The assignment for next class, which involves continuing work on an individual spreadsheet and team implementation, as well as preparing a blog post and draft paper.

1. Informatie visualisatie:
Les 8
Joris Klerkx - Erik Duval
http://hci.cs.kuleuven.be
joris.klerkx@cs.kuleuven.be
Human-Computer Interaction
Dept. Computerwetenschappen
KU Leuven
1

2. Paper

3. Sessies - praktisch
• Week 15 - maandag 11 april 2016 - 16u-19u
• Week 16 - maandag 18 april 2016 - 16u-19u
• Week 17 - maandag 25 april 2016 - 16u-19u
• Week 18
• maandag 02 mei 2016 - 16u-19u
• Woensdag 04 mei 2016 - 10:30 - 12:30 in 200C-01.09 (01J)
• Sessie samen met studenten data visualisatie - Dig. Humanities -
prof. Verbert & prof. Vande Moere - topic: Data-driven storytelling
• Week 19
• Maandag 09 mei 2016 - 16u-19u - Eindpresentaties (met jury)
STAAT NIET IN HET UURROOSTER!

4. https://postgraduwhatblog.wordpress.com/2016/04/10/infovis-van-de-week-7-wouter/
Infovis van de week

5. https://medium.com/@hint_fm/design-and-redesign-4ab77206cf9
Redesign as
evaluation

6. Vandaag
• (Data-ink) Design Principles (ik)
• Show-and-Tell (jullie)
• 5 mins + 5 mins ‘design-critique’
• Quick feedback per groep
• Opdracht tegen volgende keer (ik)
6

7. Data-Ink Design Principles
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8. Five principles
1. Above all else show the data.
2. Maximize the data-ink ratio, within reason.
3. Erase non-data ink, within reason.
4. Erase redundant data-ink.
5. Revise and edit.
Source: Katrien Verbert
"The success of a visualization is based on deep
knowledge and care about the substance, and the
quality, relevance and integrity of the content."
(Tufte, 1983)
8

9. Data-ink
A large share of ink on a graphic should present data
Information, the ink changing as the data change.
Data-ink is the non-erasable core of a graphic...
(Tufte, 1983)
9

10. Data-ink ratio =
data-ink
Total ink used to print graphic
= Proportion of a graphic’s ink devoted to the
non-redundant display of data-information.
= 1.0 – proportion of graphic that can be
erased without the loss of information
Data-ink ratio
10

11. Data-ink ratio
11

12. What is the data-ink ratio?
< 0.05
12

13. What is the data-ink ratio of this graphic?
< 0.001
Source: Katrien Verbert 13

14. Five Principles
1. Above all else show the data.
2. Maximize the data-ink ratio.
• Within reason
• Every bit of ink on a graphic requires a reason
3. Erase non-data ink, within reason.
4. Erase redundant data-ink.
5. Revise and edit.
14

15. Maximize the data-ink ratio, within reason
“A pixel
is a
terrible
thing to
waste.”
(Shneiderman)
Slide source: Chris North, Virginia Tech 15

16. Five Principles
1. Above all else show the data.
2. Maximize the data-ink ratio, within reason.
3. Erase non-data ink, within reason.
4. Erase redundant data-ink.
5. Revise and edit.
16

17. 17 source: Joey Cherdarchuk

18. 18 source: Joey Cherdarchuk

19. 19 source: Joey Cherdarchuk

20. 20 source: Joey Cherdarchuk

21. 21 source: Joey Cherdarchuk

22. 22 source: Joey Cherdarchuk

23. 23 source: Joey Cherdarchuk

24. 24 source: Joey Cherdarchuk

25. 25 source: Joey Cherdarchuk

26. 26 source: Joey Cherdarchuk

27. 27 source: Joey Cherdarchuk

28. 28 source: Joey Cherdarchuk

29. 29 source: Joey Cherdarchuk

30. 30 source: Joey Cherdarchuk

31. 31 source: Joey Cherdarchuk

32. 32 source: Joey Cherdarchuk

33. 33 source: Joey Cherdarchuk

34. 34 source: Joey Cherdarchuk

35. 35 source: Joey Cherdarchuk

36. 36 source: Joey Cherdarchuk

37. 37 source: Joey Cherdarchuk

38. 38 source: Joey Cherdarchuk

39. “Perfection is achieved not
when there is nothing more
to add, but when there is
nothing left to take away”
– Antoine de Saint-Exupery
39

40. Five principles
1. Above all else show the data.
2. Maximize the data-ink ratio, within reason.
3. Erase non-data ink, within reason.
4. Erase redundant data-ink.
5. Revise and edit.
Source: Katrien Verbert
"The success of a visualization is based on deep
knowledge and care about the substance, and the
quality, relevance and integrity of the content."
(Tufte, 1983)
40

41. Five principles
1. Above all else show the data.
2. Maximize the data-ink ratio, within reason.
3. Erase non-data ink, within reason.
4. Erase redundant data-ink.
5. Revise and edit.
Source: Katrien Verbert
"The success of a visualization is based on deep
knowledge and care about the substance, and the
quality, relevance and integrity of the content."
(Tufte, 1983)
41

42. “A visualization should first-of-all inform, but
if the visualization fails to reach the target
audience, it never reaches the point that it
can inform”
Informative + Attractive ?

43. A. Vande Moere, M. Tomitsch, C. Wimmer, B. Christoph, and T. Grechenig. EvaluaCng the Effect of Style in
InformaCon VisualizaCon. IEEE TransacCons on VisualizaCon and Computer Graphics. Vol. 18, issue 12,
2739–2748, 2012. IEEE Computer Society.
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6327280

44. ?
44

45. Vandaag
• (Data-ink) Design Principles (ik)
• Show-and-Tell (jullie)
• 5 mins + 5 mins ‘design-critique’
• Quick feedback per groep
• Opdracht tegen volgende keer (ik)
45

46. Tegen volgende les
• Individueel: - Spreadsheet
• Team:
• Vervolg implementatie
• Draft Paper!
• Blog post
• Vooruitgang - wat geleerd vandaag
• Wat vond je van feedback sessie?
• Show-and-Tell - design critique
(eventueel weerleggen wat je gehoord hebt vandaag)
46