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Tuftes Design Principles

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'The often scant benefits derived from coloring data indicate that even putting a ... avoid content-free decoration, including chartjunk. Fall 2000. CS 7450 ... – PowerPoint PPT presentation

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Title: Tuftes Design Principles


1
Tuftes Design Principles
  • CS 7450 - Information Visualization
  • Sept. 5, 2000

2
Graphical Displays Should
  • Show the data
  • Induce the viewer to think about substance rather
    than about methodology, graphic design the
    technology of graphic production, or something
    else
  • Avoid distorting what the data have to say
  • Present many numbers in a small space
  • Make large data sets coherent
  • Encourage the eye to compare different pieces of
    data
  • Reveal the data at several levels of detail, from
    a broad overview to the fine structure
  • Serve a reasonably clear purpose description,
    exploration, tabulation, or decoration
  • Be closely integrated with statistical and verbal
    descriptions of a data set

3
Graphical Excellence
  • Principles
  • Graphical excellence is the well-designed
    presentation of interesting data---a matter of
    substance, of statistics, and of design.
  • Graphical excellence consists of complex ideas
    communicated with clarity, precision and
    efficiency.

4
Graphical Excellence
  • Principles
  • Graphical excellence is that which gives to the
    viewer the greatest number of ideas in the
    shortest time with the least ink in the smallest
    space
  • Graphical excellence is nearly always
    multivariate.
  • And graphical excellence requires telling the
    truth about the data.

5
Leveraging Human Capabilities
  • Data graphics should complement what humans do
    well
  • Quote from top of Vol.2, page 50

6
Design Principles
  • Maximize data-ink ratio

Data ink
Data ink ratio
Total ink used in graphic
proportion of graphics ink devoted to the
non-redundant display of data-information
Examples Vol.1, page 94 (good and bad)
Vol.1, page 30 (NYC weather, 2220 numbers)
7
More...
  • Above all else, show the data
  • Maximize the data-ink ratio
  • Erase non-data-ink
  • Erase redundant data-ink
  • Revise and edit

8
More...
  • Maximize data density

number of entries in data matrix
data density of graphic
area of data graphic
Quote from bottom of Vol. 1, page 168
9
Redesign charts
  • Bar chart, scatter plot, box plot(See drawings)

10
Design Principles
  • Avoid chartjunk
  • Extraneous visual elements that detract from
    message
  • Great narrative Vol.2, bottom page 33-34

Examples Vol.1, page 108 (shimmering display)
Vol.2, page 34 (diamonds are a
girls)
11
Design Principles
  • Utilize multifunctioning graphical elements
    (macro/micro readings)
  • Graphical elements that convey data information
    and a design function

Examples Vol. 1, page 140-1 (bar charts)
Vol.2, pages 36-7 (city maps)
Vol. 2, page 42-44 (Viet Nam Memorial)
12
Design Principles
  • Use small multiples
  • Repeat visually similar graphical elements nearby
    rather than spreading far apart

Examples Vol. 1, pages 170- 174
Consumer Reports
Vol.2, pages 68-69 (trolley cars
calligraphy)
13
Design Principles
  • Show mechanism, process, dynamics, and causality
  • Cause and effect are key
  • Make graphic exhibit causality

Examples Vol.3, pages 38-53 (space shuttle)
Vol.3, page 144 (fall in river)
14
Design Principles
  • Escape flatland
  • Data is multivariate
  • Doesnt necessarily mean 3D projection

Examples Vol.2, page 12 (Japan guide)
Vol.2, page 24 (Java railroad)
Vol.3, pages 90-91 (history of music)
15
Design Principles
  • Utilize layering and separation
  • 11 3 or more
  • Good or bad

Examples Vol.2, page 54 (copier assembly)
Vol.2, pages 61-2 (11 3)
16
Design Principles
  • Utilize narratives of space and time
  • Tell a story of position and chronology through
    visual elements

Examples Vol.1, page 43 Vol.2, page 110 (life
of beetle) Vol.2, pages 102-103
(air flight schedules)
17
Design Principles
  • Content is king
  • Quality, relevance and integrity of the content
    is fundamental
  • Whats the analysis task? Make the visual design
    reflect that
  • Integrate text, chart, graphic, map into a
    coherent narrative

18
Graph and Chart Tips
  • Avoid separate legends and keys -- Just have that
    information in the graphic
  • Make grids, labeling, etc., very faint so that
    they recede into background

Examples Vol. 2, page 54, 63 Vol.
3, page 74
19
Using Color Effectively
  • The often scant benefits derived from coloring
    data indicate that even putting a good color in a
    good place is a complex matter. Indeed, so
    difficult and subtle that avoiding catastrophe
    becomes the first principle in bringing color to
    information Above all, do no harm.

20
Proper Color Use
  • To label
  • To measure
  • To represent or imitate reality
  • To enliven or decorate

21
Color Examples
  • Good
  • Vol.2, page 80Swiss mtn map
  • Vol.2, page 91 orVol.3, page 76Japan sea
    map(Bad on Vol.3, page 77)
  • Bad
  • Vol.1, page 153US rate mapGreat description
  • Vol.2, page 82US rate map
  • Vol.2, page 88Computer screensGreat quote

22
Guides for Enhancing Visual Quality
  • Attractive displays of statistical info
  • have a properly chosen format and design
  • use words, numbers and drawing together
  • reflect a balance, a proportion, a sense of
    relevant scale
  • display an accessible complexity of detail
  • often have a narrative quality, a story to tell
    about the data
  • are drawn in a professional manner, with the
    technical details of production done with care
  • avoid content-free decoration, including chartjunk

23
Information Overload
  • Text from top of Vol.2, page 51
  • Clutter and confusion are failures of visual
    design, not attributes of information.

24
Minard graphic
size of army direction
latitude longitude
temperature date
25
Sources Used
E. Tufte, The Visual Display of Quantitative
Information E. Tufte, Envisioning Information E.
Tufte, Visual Explanations
26
Assignment 1
  • Commercial tool demos
  • Spotfire Pro
  • Eureka (Table Lens) from Inxight
  • SeeIt from Visual Insights
  • Advizor from Visual Insights
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