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Virtuous AI > Corporate Design > Flashcards

Corporate Design Flashcards

Typography, font, spacing for plots, products, marketing, etc…

1
Q

Which graphs can you choose for each of the following?

  1. deviation
  2. correlation
  3. ranking
  4. distribution
  5. evolution
  6. part to whole
  7. magnitude
A
  1. deviation: (a) change from baseline, (b) waterfall
  2. correlation: (a) scatter plot, (b) heat map
  3. ranking: (a) horizontal bar chart, (b) dot plot
  4. distribution: (a) boxplot, (b) histogram
  5. evolution: (a) kaplan meler, (b) line plot
  6. part to whole: (a) stacked barchart, (b) tree map
  7. magnitude: (a) verticle bar chart, (b) forest plot
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2
Q

which is right graph for plotting: deviation?

A
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3
Q

which is right graph for plotting: correlation?

A
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4
Q

which is right graph for plotting: ranking?

A
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5
Q

which is right graph for plotting: distribution?

A
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6
Q

which is right graph for plotting: evolution?

A
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7
Q

which is right graph for plotting: part-to-whole?

A
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8
Q

which is right graph for plotting: magnitude?

A
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9
Q

where to place labels?

A

try next to data before attenpting legend

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10
Q

how to compare elements?

A

group on the same plot

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11
Q

how to order?

A

rank or alphabetize

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12
Q

how to compare 1-d judgements?

A

common vertical scale

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13
Q

how to plot means?

A

mean difference (not two means)

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14
Q

reference lines

A

user them as anchors

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15
Q

differentiating between categories of same variable

A

do not use different colors

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16
Q

how to compare polar opposites?

A

red for positive, blue for negative

17
Q

how to emphasize details (like baseline)?

A

color: alpha (bold) or contrasting colors

18
Q

how to emphasize data?

A

lighten the ink (soften gridelines with light color)

19
Q

how to reduce plot clutter?

A
  • remove background noise and excessive colors
  • use dots over a bar
  • repeat same plot excentuating only one plot at a time (only applies for undistinguishable lines - i.e. too dense)
20
Q

plotting cause vs. effect

A

cause on the x-axis and effect on the y-axis

21
Q

slope

A

use 45 degree angle to avoid over-interpretation of slope

22
Q

log-normally distributed variables (e.g. AUC)

A

do NOT plot on linear scale

23
Q

space for plots

A

use space to denote scalar distance

(for instance spread out non-linear weighting times non-linearly)

24
Q

storytelling using plots

A

plot inferences to support stories

25
Q

plotting elements

A
  1. titles
  2. annotations
  3. labels
  4. shapes
  5. colors
  6. textures
26
Q

long titles on plots

A

break them into two lines

27
Q

font for plots

A
  • use easiest to read (sans serif)
  • only use bold or italics to REALLY emphasize (do not use on everything)
  • use font size for heirarchy (e.g. titles 2pt larger than rest)
28
Q

annotations on plots

A
  • provide to support message
  • label axes with clear measurement units
29
Q

text visibility

A

favor dark on light with enough contrast to be visible

30
Q

angled text on plots

A

do NOT do it, try transposing graph

31
Q

color

A
  • emotion, importance
  • active vs passive: orange, red vs. blue, purple
  • types: primary to analogous
  • relationships: monochromatic to triad
32
Q

contrast

A
33
Q

repetition

A
  • repeat patters to esablish style
  • be consistent with similar elements
34
Q

tools of design

A
  1. color: alpha, hue
  2. alignment: space, proximity,
  3. lines: straight, curve, squiggly
  4. texture: concrete
  5. shapes: geometric (square), natural (leaf), abstracted (icons)
35
Q

importance/emphasize

A
  • size: dimensions, …
  • color: hue (red), tone (alpha)
  • font: pixel, bold, underline, capitalize
  • alignment: e.g. - front and center, …
36
Q

visualize value

A
  • alpha (tone)
37
Q

create a pattern

A
  • color: color, alpha
  • shapes: lines
  • repetition:
38
Q

create depth

A
  • color: alpha, hue
39
Q

connect content

A
  • lines:
  • poximity:
    • close things connected,
    • distant things give eyes space
    • alignment

Virtuous AI (12 decks)

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