Best Practices In Data Visualization - Sales Presentation.pdf
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Best Practices in Data Visualization Why Visualize Data? Scott Smith
Why?
Cycle of Visual Analysis
Pre-attentive Attributes
We’re Faster When We Can “See” Data
We’re Faster When We Can “See” Data
We’re Faster When We Can “See” Data
We’re Faster When We Can “See” Data
We’re Faster When We Can “See” Data
Humans Are Good at some Mental Math
3 x7
Humans Are not so Good at other Mental Math
34 x 72
We’re Faster When We Use the Learned Tools and Techniques
34 x 72 68 1 23 80 2448
Much Faster 34 X 72 ------------------
68 1 23 80 ------------------
2448
Visual Interruptions Make People Slow
Visual Interruptions Make People Slow
DEMO: Kepler Mission
How?
Types of Data CATEGORICAL Asia Europe North America
ORDINAL Gold Silver Bronze
Alice Robert Chris
Solid Liquid Gas
Water Coffee Tea
January February March
QUANTITATIVE Weight 10 kg, 35 kg, 100 kg
Cost $500, $2.5 million, $4 billion
Discount 0%, 2.5%, 5%
Date 14 March 2015 14:02
Effectiveness Depend on Data Type CATEGORICAL
ORDINAL
QUANTITATIVE
Position
Position
Position
Color hues
Size
Length
Shape
Color intensity
Size
Clusters
Color hues
Color intensity
Boundaries
Shapes
Up to 2 color hues Orientation (Change)
How Do Humans Like Their Data? Position
More important
Color
Size Shape
Less important
How Do Humans Like Their Data? • Time: on an x-axis • Location: on a map • Comparing values: bar chart • Exploring relationships: scatter plot • Relative proportions: treemap
Mapping to Insight Maps don’t have to be geographic
Mapping to Insight Maps don’t have to be geographic
Mapping to Insight Don’t use maps just because you can
How Do Humans Like Their Data? Orient data so people can read it easily Good Better
Color Me Impressed Color perception is relative, not absolute
Color Me Impressed Provide a consistent background
Color Me Impressed Humans can only distinguish ~8 colors This is not helpful.
Color Me Impressed Humans can only distinguish ~8 colors This is helpful.
Color Me Impressed For quantitative data, color intensity and diverging color palettes work well
A word on Color and Color Blindness On Tuesday, September 16th 2014, fans of Liverpool FC were baffled during the clash in the Champions League with Ludogorets. “So this Liverpool game isn't great for me being colour blind. Green pitch green kit red kit all look the same. It's just floating heads.” - Elliot Heard (on Twitter)
A word on Color and Color Blindness 7-10% of Males have some form of Color Blindness while 0.5% of Females have.
Dashboards Dashboards should pass the 5-second test
Dashboarding for the 5-second Test • •
• • •
Most important view goes on top or top-left Legends go near their views Avoid using multiple color schemes on a single dashboard Use 5 views or fewer in dashboards Provide interactivity
Dashboarding for the 5-second Test Use your words! • Titles • Axes • Key facts and figures • Units • Remove extra digits in numbers • Great tooltips
Dashboards Dashboards bring together multiple views
Conclusion • Flow • Data Discovery • Ease of Insight
• Ease of Interaction • Requires that you know your audience
• Data Types • 5 Second Rule
Position Color
More important
Size
Shape
Less important
Q&A
Why?
Cycle of Visual Analysis
Pre-attentive Attributes
We’re Faster When We Can “See” Data
We’re Faster When We Can “See” Data
We’re Faster When We Can “See” Data
We’re Faster When We Can “See” Data
We’re Faster When We Can “See” Data
Humans Are Good at some Mental Math
3 x7
Humans Are not so Good at other Mental Math
34 x 72
We’re Faster When We Use the Learned Tools and Techniques
34 x 72 68 1 23 80 2448
Much Faster 34 X 72 ------------------
68 1 23 80 ------------------
2448
Visual Interruptions Make People Slow
Visual Interruptions Make People Slow
DEMO: Kepler Mission
How?
Types of Data CATEGORICAL Asia Europe North America
ORDINAL Gold Silver Bronze
Alice Robert Chris
Solid Liquid Gas
Water Coffee Tea
January February March
QUANTITATIVE Weight 10 kg, 35 kg, 100 kg
Cost $500, $2.5 million, $4 billion
Discount 0%, 2.5%, 5%
Date 14 March 2015 14:02
Effectiveness Depend on Data Type CATEGORICAL
ORDINAL
QUANTITATIVE
Position
Position
Position
Color hues
Size
Length
Shape
Color intensity
Size
Clusters
Color hues
Color intensity
Boundaries
Shapes
Up to 2 color hues Orientation (Change)
How Do Humans Like Their Data? Position
More important
Color
Size Shape
Less important
How Do Humans Like Their Data? • Time: on an x-axis • Location: on a map • Comparing values: bar chart • Exploring relationships: scatter plot • Relative proportions: treemap
Mapping to Insight Maps don’t have to be geographic
Mapping to Insight Maps don’t have to be geographic
Mapping to Insight Don’t use maps just because you can
How Do Humans Like Their Data? Orient data so people can read it easily Good Better
Color Me Impressed Color perception is relative, not absolute
Color Me Impressed Provide a consistent background
Color Me Impressed Humans can only distinguish ~8 colors This is not helpful.
Color Me Impressed Humans can only distinguish ~8 colors This is helpful.
Color Me Impressed For quantitative data, color intensity and diverging color palettes work well
A word on Color and Color Blindness On Tuesday, September 16th 2014, fans of Liverpool FC were baffled during the clash in the Champions League with Ludogorets. “So this Liverpool game isn't great for me being colour blind. Green pitch green kit red kit all look the same. It's just floating heads.” - Elliot Heard (on Twitter)
A word on Color and Color Blindness 7-10% of Males have some form of Color Blindness while 0.5% of Females have.
Dashboards Dashboards should pass the 5-second test
Dashboarding for the 5-second Test • •
• • •
Most important view goes on top or top-left Legends go near their views Avoid using multiple color schemes on a single dashboard Use 5 views or fewer in dashboards Provide interactivity
Dashboarding for the 5-second Test Use your words! • Titles • Axes • Key facts and figures • Units • Remove extra digits in numbers • Great tooltips
Dashboards Dashboards bring together multiple views
Conclusion • Flow • Data Discovery • Ease of Insight
• Ease of Interaction • Requires that you know your audience
• Data Types • 5 Second Rule
Position Color
More important
Size
Shape
Less important
Q&A
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