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FUNDAMENTALS OF
DATA VISUALIZATION
Hello there!
Hello there!
What is graphical
excellence?
Hello there!
how can I make my
data visually
Excellent?
let’s talk…
What this talkis not about…
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
aim here!
prettyugly
useful
crap
What this talkis about…
0 | Start
1 | Substance
2 | Style
3 | Steps
4 | summary
0 | Start
Why is Visualization
Important?
Rw 2014 data visulization
“If information is presented orally,
people rememberabout10%...That
number goes up by 65% if you add a
picture.”
“If information is presented orally,
people rememberabout10%...That
number goes up by 65% if you add a
picture.”
Oculata certitudine
Rw 2014 data visulization
Why Visual abstraction?
“WhatI am really
try to do is bring
birth to clarity…
It's all visual. It's
hard to explain.”
-Feynman
867-5309
865-5309
Storytelling
Data does not speak for itself…
You speak for your data
“When we makea visualization from
our data, we are telling a story, anda
goodstoryhelpsusgaininsights.”
-Steven Bedrick
Ethics
“With great power
comes great
responsibility…”
-Uncle Ben, Spiderman
Name Pie
A 39.0%
Other 21.2%
B 19.5%
C 9.8%
D 7.4%
E 3.1%
Name Pie
A 39.0%
Other 21.2%
B 19.5%
C 9.8%
D 7.4%
E 3.1%
39
21.2
19.5
9.8
7.4
3.1
A
Other
B
C
D
E
Name
Percent of Pie
Name
39
19.5
9.8
7.4
3.1
21.2
A
B
C
D
E
Other
Percent of Pie
Rw 2014 data visulization
1 | Substance
describe your data
how do we describe it. . .
meaningfully,
clearly,
succinctly,
properly?
Rw 2014 data visulization
Rw 2014 data visulization
tomaytoe
tomahto
Solanum
lycopersicum
PANTONE
1795 C
tdTomato
554ex 581em
$64
Rw 2014 data visulization
Data means manythings…
Data flow
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Data Definitions
Quantitative | Qualitative
Quantitative | Qualitative
|
Ratio Interval Ordinal Nominal
Ratio Interval Ordinal NominalValues
Ordinal NominalValues
Ordinal
Categorical
Relational
so what?
Values
Implied Graphical Content
Implied Graphical Content
Ordinal
Categorical
Relational
2 | Style
does this visual make me look fat?
how do we make it. . .
easier to understand,
cleaner, safer,
smarter, meaningful
beautiful?
Visual Encoding
FEATURES Patterns Objects
Pre-attentive Working Memory
867-5309
Rw 2014 data visulization
Visual Encoding= Maximizing
Pre-Attentive Processing
Visual Encoding:
Pattern
Visual Encoding:
values
Visual Encoding:
Color
Rw 2014 data visulization
Photo: Andrew Bain
Rw 2014 data visulization
Don’t Do This!
 Avoid loud, garish colors…dark text on light
background or vice versa is best.
 Avoid text colors that fade into background,
i.e. blue and black
 Avoid color-blind combinations:
– Red and green
– Blue and yellow
Check contrast & Color in grayscale
RESOURCES
http://www.vischeck.com/
http://www.etre.com/tools/colourblindsimulator/
http://www.color-blindness.com
Perception of
Visual cues
|
Application of
Visual Cues
Rw 2014 data visulization
*
Visual Families:
Major Types
B
x
y
Visual Graphing:
Coordinate Systems
Visual Graphing:
Fundamentals
Visual Graphing:
Annotation
chicken
chicken
chicken
Figure 1. chicken
Visual Clutter:
Do Not Do

Å
S( - i k
Real World, Please!
The good…
Multivariate, multisource
Width Size of Army Line Location Latitude/Longitude Color Movement
Location labels, dates, Numbers Temperature
Thiers Histoire du Consulat et de l'Empire
Ségur La Campagne de Russie, Mémoires d'un Aide de Camp de L'Empereur Napoléon I
Fezensac Souvenirs militaires
Chambray Histoire de l'expedition de Russie Jacob Revue d'Histoire de la Pharmacie
The bad…
The bad…
The ugly.
Rw 2014 data visulization
3 | Steps
how do I do this?
how do we make a. . .
descriptive, unique,
interesting, engaging
data graphic?
Steps
Gather the Data
Organize the Data
Write a Story/annotate
Select a visualization
Apply encodings
Experiment & Iterate
Gather the data
Nathan’s Hot Dog Eating Contest
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
organize the data
=1*MID(A1,MATCH(TRUE,ISNUMBER(1*MID(A1,ROW($1:$9),1)),0),COUNT(1*MID(A1,ROW($1:$9),1)))
Write a spec
Did the creation of the
InternationalFederation
of CompetitiveEating
affect Nathan’sHot Dog
Eating Competition?
annotate
Did the creation of the
InternationalFederation
of CompetitiveEating
affect Nathan’sHot Dog
Eating Competition?
Did the creationof the
InternationalFederation
of CompetitiveEating
affect Nathan’sHot Dog
Eating Competition?
single event: date
Did the creation of the
InternationalFederation
of CompetitiveEating
affect Nathan’sHot Dog
Eating Competition?
established in
1997
Did the creation of the
InternationalFederation
of CompetitiveEating
affect Nathan’sHot Dog
Eating Competition?
changed in 2000
Did the creation of the
InternationalFederation
of CompetitiveEating
affect Nathan’sHot Dog
Eating Competition?
observe change
Did the creation of the
InternationalFederation
of CompetitiveEating
affect Nathan’sHot Dog
Eating Competition?
baseline observations
Did the creation of the
InternationalFederation
of CompetitiveEating
affect Nathan’sHot Dog
Eating Competition?
specifically: Number of
Hot Dogs & Buns Eaten
per year
select a visualization
Rw 2014 data visulization
Nathan’sHistory (year)
HDB
IFOCE
[year]
Rw 2014 data visulization
thank you
the end
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Did the creation of the
InternationalFederation
of CompetitiveEating
affect Nathan’sHot Dog
Eating Competition?
Does International
Federation of Competitive
Eating AFFILIATIONAffect
Nathan’sHot Dog Eating
Competition?
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Rw 2014 data visulization
Here’s a Tip!
Rw 2014 data visulization
4| Summary
0 | start
Storytelling
Whyvisualizations
Whatthisis not
1 | Substance
Multivariate
Multisource
Implied
graphical
content
Values|
Ordinal
category
Relationship
2 | Style
VisualEncoding
VisualGraphics:
Fundamentals
VisualClutter:
Danger,Danger!
3 | Steps
GathertheData
OrganizetheData
Writea Spec/annotate
Selecta visualization
Applyencodings
Experiment&Iterate
0 | Start
1 | Substance
2 | Style
3 | Steps
4 | summary
Hello there!
What is graphical
excellence?
“Everything should be made
as simple as possible,
but not simpler.”
Albert Einstein
Hello there!
how can I make my
Data visually
Excellent?
“Just as writers read to sculpt
their skill, visualizers look…
Look around you. You are
looking at opportunity.”
Jessica Hagy
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
- Yourmother
Don’t practice until
you get it right...
Practice until you
can’t get it wrong.
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Practice
Rw 2014 data visulization
Thank You
Wirzj@ohsU.edu
http://libguides.ohsu.edu/wirz
Image attributionsavailable
On request
HOW TO MAKE A POSTER
THAT DOESN’T SUCK
APRIL 17, 12 PM
questions?

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Rw 2014 data visulization