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Uploaded byAmit Kapoor
Crafting Visual Stories with Data
Crafting Visual Stories with Data is a document that discusses how to craft effective data stories. It begins by showing examples of using visualization techniques like proximity, alignment, repetition, and contrast to find patterns in data. It then discusses how stories are more impactful than just presenting raw data because they allow for emotion and empathy. The document outlines different types of visualizations like exhibition, exploration, and explanatory and provides examples of each. It also discusses how stories work by transferring imagery from the storyteller to the listener. The main sections cover how to see patterns in data, show the data visually, tell the story, and engage the audience. It emphasizes establishing focus, integrating text and graphics, using narrative structure and point of view to
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Similar to Crafting Visual Stories with Data
Crafting Visual Stories with Data
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- 2. How many 5’scan you find? 142536789251364789245369178 419356728495126783149356728 245369178145672893145672938 495126783149356728423698517 359164782145672938451672938 465132978423698517459163782 145762938451672938359164782 431567298459163782431567298
- 3. Proximity 142 5 3678925 136478924 5 369178 4193 5 672849 5 1267831493 5 6728 24 5 36917814 5 67289314 5 672938 49 5 1267831493 5 6728423698 5 17 3 5 916478214 5 6729384 5 1672938 46 5 132978423698 5 174 5 9163782 14 5 7629384 5 16729383 5 9164782 431 5 672984 5 9163782431 5 67298
- 4. Alignment 555 142367892136478924369178 555 419367284912678314936728 555243691781467289314672938 555 491267831493672842369817 555 391647821467293841672938 555 461329784236981749163782 555 147629384167293839164782 555 431672984916378243167298
- 5. Repetition 123456789 123456789 123456789 123456789123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789 123456789
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- 7.
- 8. One Frame Counts Source:The Cutting Edge
- 9. War Stories &Killer Charts
- 10. Quote I think peoplehave begun to forget how powerful human stories are, exchanging their sense of empathy for a fetishistic fascination with data, networks, patterns, and total information... Really, the data is just part of the story. The human stuff is the main stuff, and the data should enrich it. - Jonathan Harris
- 11.
- 12. Emotion & Empathy Iam blind
- 13. Emotion & Empathy Itis spring & I am blind
- 14.
- 15.
- 16. Joshua Bell Source: Aristotleand Joshua Bell on Persuasion
- 17.
- 18.
- 19.
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- 21.
- 22. Data & Stories Thefocus of stories is on individual people rather than averages, on motives rather than movements, on point of view rather than the view from nowhere, context rather than raw data. Moreover, stories are open-ended and metaphorical rather than determinate and literal.
- 23. Body Mass Index(BMI) BMI = mass (kg) [ height (m) ]2h m
- 24. Living on theedge 5’ 1 6’ 5 5’ 7 5’ 5 5’ 3 6’ 3 6’ 1 5’ 11 5’ 9 6’ 7 Obese Over Normal Under 18 25 30 mass (in kg) height (in ft)
- 25. The Story Mindset Inlistening 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
- 26. Stories are emotional Storiesare Stories are memorable impactful | | | Why Stories?
- 27.
- 28. People tell stories Words Pictures tellstories tell stories | | | Synthesis -Visualise-Story Comics tell stories| Movies tell stories|
- 29.
- 30. ˌvɪʒʊəlaɪˈzeɪʃən (noun) Derived fromthe Latin verb videre, "to look, to see" The act or instance to form a mental image or picture (without an object) Visualization The act or instance to make visible or visual (with an object)
- 31.
- 32.
- 33.
- 34. Transfer of Imagery Source:The Visitor - Learning the Djembe
- 35.
- 36. Cognitive Flow Start Frame it asa Journey Finish
- 37. /ˈnærətiv / (noun) Anarrative (or story) is any account of connected events, presented to a reader or listener in a sequence of written or spoken words, or in a sequence of (moving) pictures. Derived from the Latin verb narrare, "to tell" Narrative
- 38. A man walksinto a store...
- 39.
- 40.
- 41.
- 42.
- 43. “I can takeany empty space and call it a bare stage. A man walks across this empty space whilst someone else is watching him, and this is all that is needed for an act of theatre to be engaged. “ - Peter Brook, The Empty Space Simplicity
- 44. Content How to craftData-Stories?
- 45. Data Art forvisual expression, delight (and impact) e.g. Infographics Exhibition | Expression
- 46.
- 47. Data Tool forengagement, exploration and discovery Exploration | Interactive
- 48.
- 49. Data Stories fortelling a specific and (linear) visual narrative Explanatory | Narrative
- 50. Source: Hans Rosling| Joy of Stats Explanatory
- 51. Word Writer Note Frame Musician Film Maker | | | BasicElement Data Artist|Datum
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- 53.
- 54.
- 55. See the Data Showthe Visual Tell the Story Engage the Audience Datum Data-Stories
- 56. See the Data Pattern DeviationOutlier Trend Data Abstraction
- 57. Anscombe’s Quartet x1 y1x2 y2 x3 y3 x4 y4 10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58 8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76 13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71 9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84 11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47 14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04 6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25 4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50 12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56 7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91
- 58. Anscombe’s Quartet x(mean) =9 y(mean) = 7.5 x(var) = 11 y(var) = 4.12 y = 3.00 + 0.500 x
- 59.
- 60. Building Ability toSee Hypothesis-driven Approach a.k.a Educated guesses based on experience, knowledge & intuition
- 61. See the Data Pattern DeviationOutlier Trend Data Abstraction
- 62.
- 63.
- 64. Visual Perception Iconic Pre-attentive <1s Fast Temporary Unconscious In-device Working Attentive <1-3sMedium Temporary Conscious RAM Long-term Attentive Long Permanent Deliberate SSD
- 65.
- 66. How big isthe 2nd circle?
- 67. Source: WTF Visualizations AvoidChart Junk
- 68. Representation Matters Source: SouthChina Post
- 70. Single Frame Dominates Source:Walmart & Target Store Expansion
- 71. Establish & Focus Source:OECD Better Life Consistent Visual Framework
- 72. Establish & Focus Source:OECD Better Life
- 73. See the Data Pattern DeviationOutlier Trend Data Abstraction
- 74.
- 75. Tell the Story Ordering& Structure Messaging (Verbal & Text) Point of View Relatability TRF JQL VWX DFR RGT DEF ZEF LXR
- 76. Integrate Text &Graphics
- 77. Stories through Annotation Source:Napolean’s Campaign
- 78. Linear Narrative Source: PitchInteractive
- 79. Source: Hans Rosling| Joy of Stats Power of Verbal Messaging
- 80.
- 81. See the Data Pattern DeviationOutlier Trend Data Abstraction
- 82.
- 83. Tell the Story Ordering& Structure Messaging (Verbal & Text) Point of View Relatability TRF JQL VWX DFR RGT DEF ZEF LXR
- 84. Engage the Audience TRFJQL VWX DFR RGT DEF ZEF LXR Emotion Takeaway Interactivity
- 85. Source: Working CapitalProfiler Build your own story
- 86.
- 87.
- 88. “I think thetrick with knowledge is to “acquire it, and forget all except the perfume” — because it is noisy and sometimes drowns out one’s own “brain voices”. The perfume part is important because it will help find the knowledge again to help get to the destinations the inner urges pick. ” — Alan Kay’s advice to Bret Victor Create your own Path
- 89. Amit Kapoor @amitkaps Partner, narrativeVIZConsulting amit@narrativeviz.com