Corporate Design Flashcards
Typography, font, spacing for plots, products, marketing, etc…
Which graphs can you choose for each of the following?
- deviation
- correlation
- ranking
- distribution
- evolution
- part to whole
- magnitude
- deviation: (a) change from baseline, (b) waterfall
- correlation: (a) scatter plot, (b) heat map
- ranking: (a) horizontal bar chart, (b) dot plot
- distribution: (a) boxplot, (b) histogram
- evolution: (a) kaplan meler, (b) line plot
- part to whole: (a) stacked barchart, (b) tree map
- magnitude: (a) verticle bar chart, (b) forest plot
which is right graph for plotting: deviation?
which is right graph for plotting: correlation?
which is right graph for plotting: ranking?
which is right graph for plotting: distribution?
which is right graph for plotting: evolution?
which is right graph for plotting: part-to-whole?
which is right graph for plotting: magnitude?
where to place labels?
try next to data before attenpting legend
how to compare elements?
group on the same plot
how to order?
rank or alphabetize
how to compare 1-d judgements?
common vertical scale
how to plot means?
mean difference (not two means)
reference lines
user them as anchors
differentiating between categories of same variable
do not use different colors
how to compare polar opposites?
red for positive, blue for negative
how to emphasize details (like baseline)?
color: alpha (bold) or contrasting colors
how to emphasize data?
lighten the ink (soften gridelines with light color)
how to reduce plot clutter?
- 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)
plotting cause vs. effect
cause on the x-axis and effect on the y-axis
slope
use 45 degree angle to avoid over-interpretation of slope
log-normally distributed variables (e.g. AUC)
do NOT plot on linear scale
space for plots
use space to denote scalar distance
(for instance spread out non-linear weighting times non-linearly)
storytelling using plots
plot inferences to support stories
plotting elements
- titles
- annotations
- labels
- shapes
- colors
- textures
long titles on plots
break them into two lines
font for plots
- 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)
annotations on plots
- provide to support message
- label axes with clear measurement units
text visibility
favor dark on light with enough contrast to be visible
angled text on plots
do NOT do it, try transposing graph
color
- emotion, importance
- active vs passive: orange, red vs. blue, purple
- types: primary to analogous
- relationships: monochromatic to triad
contrast
repetition
- repeat patters to esablish style
- be consistent with similar elements
tools of design
- color: alpha, hue
- alignment: space, proximity,
- lines: straight, curve, squiggly
- texture: concrete
- shapes: geometric (square), natural (leaf), abstracted (icons)
importance/emphasize
- size: dimensions, …
- color: hue (red), tone (alpha)
- font: pixel, bold, underline, capitalize
- alignment: e.g. - front and center, …
visualize value
- alpha (tone)
create a pattern
- color: color, alpha
- shapes: lines
- repetition:
create depth
- color: alpha, hue
connect content
- lines:
-
poximity:
- close things connected,
- distant things give eyes space
- alignment
