DATA VISUALIZATION BE A VISUAL NINJA APRIL 7, 2015
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1 DATA VISUALIZATION
2 DATA VISUALIZATION BE A VISUAL NINJA APRIL 7, 2015
3 Hello there!
4 What is graphical excellence? Hello there!
5 how can I make my data visually Excellent? Hello there!
6 let s talk
7 What this talk is not about
8
9
10
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12 What this talk is about useful aim here! ugly pretty crap
13 0 Start 1 Substance 2 Style 3 Steps 4 summary
14 0 Start
15 Why is Visualization Important?
16
17 If information is presented orally, people remember about 10%... That number goes up by 65% if you add a picture.
18 If information is presented orally, people remember about 10%... That number goes up by 65% if you add a picture.
19
20 Image from fineartamerica.com
21 Image from wikipedia
22 Small frequency range The Human Eye Huge luminance range
23 Image from where else? Wikipedia!
24 Image from Mazur
25 Image from Mazur
26
27 Why is Visualization Important in science?
28 Oculata certitudine
29
30 Why Visual abstraction?
31 What I am really try to do is bring birth to clarity It's all visual. It's hard to explain. -Feynman
32
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34 Storytelling
35 Data does not speak for itself
36 You speak for your data
37 When we make a visualization from our data, we are telling a story, and a good story helps us gain insights. -Steven Bedrick
38 Ethics
39 With great power comes great responsibility -Uncle Ben, Spiderman
40 Name Pie A 39.0% Other 21.2% B 19.5% C 9.8% D 7.4% E 3.1%
41 Name Pie A 39.0% Other 21.2% B 19.5% C 9.8% D 7.4% E 3.1%
42 Name A Other B C D E 21.2 Percent of Pie
43 Name A 7.4 B C 9.8 D E 19.5 Other Percent of Pie
44
45 1 Substance
46 describe your data
47 how do we describe it... meaningfully, clearly, succinctly, properly?
48
49
50 tomaytoe tomahto PANTONE 1795 C Solanum lycopersicum tdtomato 554ex 581em $64
51
52 Data means many things
53 Data flow
54
55
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57 Data Definitions
58 Quantitative Qualitative
59 Quantitative Qualitative
60 Ratio Interval Ordinal Nominal
61 Ratio Values Interval Ordinal Nominal
62 Ordinal Values Ordinal Categorical Nominal Relational
63 so what?
64 Implied Graphical Content Values
65 Implied Graphical Content Ordinal Categorical Relational
66 2 Style
67 does this visual make me look fat?
68 how do we make it... easier to understand, cleaner, safer, smarter, meaningful beautiful?
69 Visual Encoding
70 FEATURES Patterns Objects Pre-attentive Working Memory
71
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73 Visual Encoding = Maximizing Pre-Attentive Processing
74 Visual Encoding: Pattern
75 Visual Encoding: values
76 Visual Encoding: Color
77
78 Photo: Andrew Bain
79
80 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
81
82
83 Color: Form & Function qualitative Rule of thumb Luminescence: depth Slightly quantitative Image from the most excellent exck.com
84 Using Color Image from the most excellent exck.com
85 Nominal Colin Ware
86 ordinal Colin Ware
87 ordinal / Sequential
88 Divergent
89 sequential Zeilis et al 2009
90 Check contrast & Color in grayscale
91 RESOURCES
92 Image from Colin Ware
93 Image from Colin Ware
94 Image from Colin Ware
95 Image from Baingio Pinna, Gavin J. Brelstaff
96 Perception of Visual cues
97
98 Application of Visual Cues
99
100 *
101 Visual Families: Major Types x y
102 Visual Graphing: Coordinate Systems
103 Visual Graphing: Fundamentals
104 chicken chicken Visual Graphing: chicken Annotation Figure 1. chicken
105 Visual Clutter: Do Not Do Å
106 Real World, Please!
107 The good
108 Multivariate, multisource
109 Width Size of Army Line Location Latitude/Longitude Color Movement Location labels, dates, Numbers Temperature
110 Thiers Histoire du Consulat et de l'empire Fezensac Souvenirs militaires Ségur La Campagne de Russie, Mémoires d'un Aide de Camp de L'Empereur Napoléon I Chambray Histoire de l'expedition de Russie Jacob Revue d'histoire de la Pharmacie
111 The bad
112 The bad
113 The ugly.
114
115 3 Steps
116 how do I do this?
117 how do we make a... descriptive, unique, interesting, engaging data graphic?
118 Gather the Data Organize the Data Steps Write a Story/annotate Select a visualization Apply encodings Experiment & Iterate
119 Gather the data
120 Nathan s Hot Dog Eating Contest
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126
127 organize the data
128 =1*MID(A1,MATCH(TRUE,ISNUMBER(1*MID(A1,ROW($1:$9),1)),0),COUNT(1*MID(A1,ROW($1:$9),1)))
129 Write a spec
130 Did the creation of the International Federation of Competitive Eating affect Nathan s Hot Dog Eating Competition?
131 annotate
132 Did the creation of the International Federation of Competitive Eating affect Nathan s Hot Dog Eating Competition?
133 single event: date Did the creation of the International Federation of Competitive Eating affect Nathan s Hot Dog Eating Competition?
134 Did the creation of the International Federation of Competitive Eating affect Nathan s Hot Dog Eating Competition? established in 1997
135 Did the creation of the International Federation of Competitive Eating affect Nathan s Hot Dog Eating Competition? changed in 2000
136 Did the creation of the International Federation of Competitive Eating affect Nathan s Hot Dog Eating Competition? observe change
137 baseline observations Did the creation of the International Federation of Competitive Eating affect Nathan s Hot Dog Eating Competition?
138 specifically: Number of Hot Dogs & Buns Eaten per year Did the creation of the International Federation of Competitive Eating affect Nathan s Hot Dog Eating Competition?
139 select a visualization
140
141 IFOCE [year] HDB Nathan s History (year)
142
143 thank you the end
144
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153
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155 Did the creation of the International Federation of Competitive Eating affect Nathan s Hot Dog Eating Competition?
156 Does International Federation of Competitive Eating AFFILIATION Affect Nathan s Hot Dog Eating Competition?
157
158
159
160
161 Here s a Tip!
162
163 4 Summary
164 What this is not 0 start Why visualizations Storytelling
165 Values Ordinal category Relationship 1 Substance Implied graphical content Multivariate Multisource
166 Visual Encoding 2 Style Visual Graphics: Fundamentals Visual Clutter: Danger, Danger!
167 Gather the Data Organize the Data 3 Steps Write a Spec/annotate Select a visualization Apply encodings Experiment & Iterate
168 0 Start 1 Substance 2 Style 3 Steps 4 summary
169 What is graphical excellence? Hello there!
170 Everything should be made as simple as possible, but not simpler. Albert Einstein
171 how can I make my Data visually Excellent? Hello there!
172 Just as writers read to sculpt their skill, visualizers look Look around you. You are looking at opportunity. Jessica Hagy
173 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 Practice Practice Practice Practice Practice Practice Practice Practice Practice Practice Practice Practice Practice Practice Practice Don t practice until you get it right... Practice until you can t get it wrong. - Your mother
174
175 ES/CONJ_610/
176 HOW TO MAKE A POSTER THAT DOESN T SUCK APRIL 10, 12 PM UHS 8 TH FLOOR
177
178
179 Thank You
180
181 Image attributions available On request
182 questions?
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