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Storytelling with Data - Approach | Skills

  1. Storytelling with data Amit Kapoor @amitkaps
  2. War Stories & Killer Charts
  3. Joshua Bell
  4. Rhetoric Logos — Ethos — Pathos
  5. Humans are pattern-seeking story-telling animals.
  6. analysis Synthesis numbers Visuals argument Story
  7. What is a story or a narrative?
  8. narrative | ˈnærətiv noun: Any account of connected events, presented in a sequence of written words or spoken words or (moving) pictures.
  9. Events that happen in time Linear Order
  10. Named people who have to face decisions Personal Decision
  11. A disruption of a state of equilibrium Change in Context
  12. A foregrounding of human experience Elevation - Human Emotion
  13. One human life, closely observed, is everyone’s life. In the particular is the universal. — Roger Ebert
  14. Storytelling Visualisation
  15. Think Stories, Not Charts
  16. Explanatory Growth of the Dual Ecosystem
  17. Exploratory Where do I live?
  18. The Joy of Stats Hans Rosling
  19. How can we create data-stories?
  20. 80% perspiration, 10% great idea, 10% output. — Simon Rogers
  21. We’re bad at the why questions, which are often much more interesting. — Amanda Cox
  22. Bad Aesthetics
  23. Good Aesthetics
  24. Above all else, do no harm — Tufte
  25. Overview first, then zoom & filter, details on demand — Ben Schniederman
  26. Types of Transitions
  27. Meaningful Annotation
  28. Powerful Narration
  29. There's always room for a story that can transport people to another place. — J.K. Rowling
  30. More Linear, More Storylike
  31. Guide the audience
  32. All stories are indeed structures, but all the best stories are brittle structures. — Tadhg Kelly
  33. Linear Navigation
  34. Staging & Animation
  35. Ensure the interactivity has Affordance. To afford means "to give a clue" — Dan Norman
  36. How to learn the skills to craft data- stories?
  37. Art - Craft - Science
  38. craft | krɑːft noun: An activity involving skill in making or doing things by hand
  39. How do you learn a craft?
  40. Novice — Expert
  41. Start with Basics
  42. Do Repetitions
  43. Conduct Deliberate Practice
  44. Focus on Mastery
  45. It took me a lifetime — Pablo Picasso
  46. So, how do you start?
  47. Learning Styles
  48. We don’t see things as they are, we see them as we are. — Anais Nin
  49. Understand your own strength
  50. Learning Data Visualisation & Storytelling
  51. Start with Charting Simple Datasets
  52. Learn Basic Charts
  53. Design Basic Charts
  54. Expand your Chart Vocabulary
  55. Visualisation is the transformation of the symbolic into geometric — McCormick et al. 1987
  56. Think Geometric, Not Charts
  57. Encode with Shapes and Colour
  58. Position them out
  59. Learn the Grammar
  60. Play with Colour
  61. Understand Visual Perception
  62. Develop an Aesthetics Sense
  63. Learning to See
  64. The universe is made of stories, not of atoms. — Muriel Rukeyser
  65. Nature
  66. Architecture
  67. Abstract Art
  68. Sketch ideas
  69. Visualise Wide Datasets
  70. Visualise Large Datasets
  71. Visualise Spatial Datasets
  72. Move to Layering
  73. Multi-layered Static Visualisation
  74. Narrative Visualisation
  75. Dashboard Visualisation
  76. Interactive Visualisation
  77. Tools
  78. Data is just a clue to the end truth — Josh Smith
  79. See the world through a data lens
  80. Aesthetics is deeply associated with emotions and feelings — Giorgio Lupi
  81. Create beautiful aesthetics
  82. The data is just part of the story. — Jonathan Harris
  83. Tell stories that connect
  84. Closing the Gap
  85. @amitkaps