Crafting Visual Stories with Data

Visual data stories can enable us to move from analysis to synthesis, from numbers to visuals, and from an argument to a story. In this talk I talk about the purpose of data visualisation, the principles of storytelling and how we can combine the two together to craft visual stories with data.

Transcript

1. Crafting Visual Stories with Data Amit Kapoor amitkaps.com
2. War Stories & Killer Charts
3. analysis numbers argument
4. Humans are pattern-seeking story-telling animals.
5. analysis Synthesis numbers Visuals argument Story
7. Visualisation Storytelling Visual Data Stories
8. Visualisation Storytelling Visual Data Stories
9. What is visualisation?
11. How many ways can you visualise this data table?
12. Visualisation is the transformation of the symbolic into geometric. McCormick et al.
18. Learning to See
20. Visualisation is the use of computer- generated, interactive, visual representations of abstract data to amplify cognition. Card, Mackinlay, & Shneiderman
21. How do we use visualisation to amplify cognition?
22. Visualization gives you answers to questions you didn't know you had. Ben Schneiderman
25. Who & What: Distribution1 1 Capabilities Premium
27. How Many: Comparison2 2 Working Capital Profiler
29. Where: Maps3 3 Wind Map
31. When: Timeline4 4 New York Times
33. How: Relationship5 5 Amit Kapoor
35. Why: Deduction & Prediction6 6 Mike Bostock
37. What is the role of visualisation in the analytics process?
39. Refine: Data Validation7 7 Trifacta
40. Explore: Freight Movement8 8 Amit Kapoor
41. Model: Model Interpretation9 9 Fast Forward Labs
42. Insight: Actionable Data 10 10 Data Vis at Uber
43. Vis amplifies cognition Vis answers question Vis accelerates analytics
44. Visualisation Storytelling Visual Data Stories
45. The universe is made of stories, not of atoms. — Muriel Rukeyser
46. What is storytelling?
47. Rhetoric Logos — Ethos — Pathos
50. narrative | ˈ nærətiv noun: Any account of connected events, presented in a sequence of written words or spoken words or (moving) pictures.
51. Events that happen in time Linear Order
52. Named people who have to face decisions Personal Decision
53. A disruption of a state of equilibrium Change in Context
54. A foregrounding of human experience Elevation - Human Emotion
60. One human life, closely observed, is everyone’s life. In the particular is the universal. — Roger Ebert
61. Story Mindset In listening to stories we tend to suspend disbelief in order to be entertained, whereas in evaluating statistics we generally have an opposite inclination to suspend belief in order not to be beguiled. John Allen Paulos
62. Stories are emotional Stories are memorable Stories are impactful
63. Visualisation Storytelling Visual Data Stories
64. Think Stories, Not Charts
70. How can we craft visual- data-stories?
73. 80% perspiration, 10% great idea, 10% output. — Simon Rogers
77. We’re bad at the why questions, which are often much more interesting. — Amanda Cox
79. Bad Aesthetics
80. Good Aesthetics
81. Above all else, do no harm — Tufte
85. Overview first, then zoom & filter, details on demand — Ben Schniederman
86. Types of Transitions
88. Meaningful Annotation
89. Powerful Narration
90. There's always room for a story that can transport people to another place. — J.K. Rowling
92. More Linear, More Storylike
93. Guide the audience
94. All stories are indeed structures, but all the best stories are brittle structures. — Tadhg Kelly
96. Navigation
97. Staging & Animation
98. Ensure the interactivity has Affordance. To afford means "to give a clue" — Dan Norman
99. Visualisation Storytelling Visual Data Stories
102. Data is just a clue to the end truth — Josh Smith
103. See the world through a data lens
104. Aesthetics is deeply associated with emotions and feelings — Giorgio Lupi
105. Create beautiful aesthetics
106. The data is just part of the story. — Jonathan Harris
107. Tell stories that connect
108. Art | Craft | Science
109. Closing the Gap
111. @amitkaps amitkaps.com