Transcript Slide 1

The Zen
of Visual Analysis
Chris Stolte
Vice President, Engineering & co-founder
Jock Mackinlay
Director, Visual Analysis
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How do people reason about data?
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The Cycle of Visual Analysis
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“Wildlife Strike Database”
http://wildlife-mitigation.tc.faa.gov/public_html/index.html
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Not just
“Aha!”
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advice:
Iterate, explore, and
experiment
…regardless of task
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empower individuals and groups to
effectively analyze and share
data?
How do we
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Support the
“Cycle of Visual Analysis”
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Incremental
Expressive
Unified
Direct
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Supporting the “Cycle of Visual Analysis”:
Incremental
Allow people to easily and incrementally
change the data and
how they are looking at
it
click
click
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advice:
Start
simple…
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Supporting the “Cycle of Visual Analysis”:
Expressive
There is no single view for
all tasks and all data
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Supporting the “Cycle of Visual Analysis”:
Expressive
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Supporting the “Cycle of Visual Analysis”:
Expressive
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advice:
Reverse your thinking
– start with the data
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Supporting the “Cycle of Visual Analysis”:
Unification with the database
Traditional Reporting Tools
versus
Tableau
Traditional Visualization Tools
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Supporting the “Cycle of Visual Analysis”:
Unification with the database
Leverage the revolutionary changes
in database technology
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Supporting the “Cycle of Visual Analysis”:
Direct Interaction
Make the tool disappear.
Allow the user to
directly interact
with the data.
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How is this possible?
VizQL
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Generate Effective
Views of Data
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People should not have to be
graphic designers or
psychologists.
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Generating Effective Views of Data
An effective presentation of data:
•
•
•
•
•
Communicates all of the data
Communicates only the data
Leverages the human perceptual system
Is understandable
Is interpretable
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Generating Effective Views of Data
Communicates all of relevant data
Bad
Bad
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Good
Generating Effective Views of Data
Communicates only the data
Bad
Bad
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Generating Effective Views of Data
Leverages the
human perceptual system
Bad
Good
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Generating Effective Views of Data
Is
understandable
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advice:
Keep your
visuals simple
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Generating Effective Views of Data
Is
interpretable
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advice:
Annotate but
remain focused
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Generating Effective Views of Data
How does Tableau support generating
effective views of data?
– Best practices are built into the product
• Great defaults
• Show Me and Show Me Alternatives
• Small multiples
– Limiting the visual properties to a proven set
– Titling, captioning, and annotation
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Generate Beautiful Results
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Generate Beautiful Results
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Generate Beautiful Results
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Share Interactive Views
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Share Interactive Views
Communicate all the data
Demonstrate your confidence
Allow people to test your conclusions
Let your audience engage directly with the data
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advice:
Empower your audience –
share interactive views
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Share Interactive Views
Aggregated
Underlying
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advice:
Data is a dish
best served raw
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Share Interactive Views
Ad hoc analysis often reveals effective patterns of
analysis.
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advice:
Leave a trail –
model effective analysis
with actions.
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Share Interactive Views
How do I design for interaction?
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Share Interactive Views
Ben Shneiderman’s mantra:
“Overview
first,
zoom & filter,
then details-on-demand.”
Quick filters
Filtering actions
View underlying data
Tooltips
Master-detail
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Share Interactive Views
Jacques Bertin’s permutation matrices:
Programmatic sort
1-click sort
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advice:
know your audience
and design for
their questions
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Share Interactive Views
Task: Finding an object and viewing it “in context”
Wildcard filter
Text lists
Highlighting
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Share Interactive Views
Task:
Finding and
understanding
relationships
Dashboards with
multiple perspectives
Highlighting
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Share Interactive Views
Interaction “resiliency”:
Think about how your views
will change when people
interact
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“Wildlife Strike Database”
http://wildlife-mitigation.tc.faa.gov/public_html/index.html
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Who can Visual Analysis help?
Anybody with
data and
questions
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advice:
Do not limit yourself to
large data or
special projects
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advice:
Seek
outside inspiration
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Summary
Iterate, explore, and experiment regardless of task
Start simple
Reverse your thinking and start with the data
Keep your visuals simple
Annotate but remain focused
Use small multiples
Empower your audience by sharing interactive views
Data is a dish best served raw
Leave a trail – model effective analysis with actions
Know your audience and design for their questions
Don’t limit yourself to large data
Seek outside inspiration
Copyright © 2003-2009 Tableau Software, Incorporated. All rights reserved.