Storytelling with Data - Approach | Skills
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The document discusses the importance of storytelling in data visualization, highlighting how narratives can effectively convey information through structured accounts of events. It emphasizes the combination of art, craft, and science in learning to create impactful data-stories, encouraging the use of aesthetics and emotional engagement. Key techniques include starting with simple datasets, expanding chart vocabulary, and understanding visual perception to enhance storytelling capabilities.
Storytelling with Data - Approach | Skills
- 2. War Stories & Killer Charts
- 3. Joshua Bell
- 6. Rhetoric Logos — Ethos — Pathos
- 10. What is a story or a narrative?
- 11. narrative | ˈnærətiv noun: Any account of connected events, presented in a sequence of written words or spoken words or (moving) pictures.
- 14. Events that happen in time Linear Order
- 15. Named people who have to face decisions Personal Decision
- 16. A disruption of a state of equilibrium Change in Context
- 17. A foregrounding of human experience Elevation - Human Emotion
- 23. One human life, closely observed, is everyone’s life. In the particular is the universal. — Roger Ebert
- 25. Think Stories, Not Charts
- 28. Explanatory Growth of the Dual Ecosystem
- 32. Exploratory Where do I live?
- 37. The Joy of Stats Hans Rosling
- 47. How can we create data-stories?
- 50. 80% perspiration, 10% great idea, 10% output. — Simon Rogers
- 54. We’re bad at the why questions, which are often much more interesting. — Amanda Cox
- 56. Bad Aesthetics
- 57. Good Aesthetics
- 58. Above all else, do no harm — Tufte
- 62. Overview first, then zoom & filter, details on demand — Ben Schniederman
- 67. There's always room for a story that can transport people to another place. — J.K. Rowling
- 69. More Linear, More Storylike
- 71. All stories are indeed structures, but all the best stories are brittle structures. — Tadhg Kelly
- 75. Ensure the interactivity has Affordance. To afford means "to give a clue" — Dan Norman
- 76. How to learn the skills to craft data- stories?
- 77. Art - Craft - Science
- 78. craft | krɑːft noun: An activity involving skill in making or doing things by hand
- 79. How do you learn a craft?
- 80. Novice — Expert
- 82. Do Repetitions
- 84. Focus on Mastery
- 85. It took me a lifetime — Pablo Picasso
- 86. So, how do you start?
- 89. Learning Styles
- 91. We don’t see things as they are, we see them as we are. — Anais Nin
- 94. Start with Charting Simple Datasets
- 100. Visualisation is the transformation of the symbolic into geometric — McCormick et al. 1987
- 102. Encode with Shapes and Colour
- 103. Position them out
- 104. Learn the Grammar
- 105. Play with Colour
- 108. Learning to See
- 109. The universe is made of stories, not of atoms. — Muriel Rukeyser
- 110. Nature
- 111. Architecture
- 112. Abstract Art
- 113. Sketch ideas
- 117. Move to Layering
- 122. Tools
- 126. Data is just a clue to the end truth — Josh Smith
- 127. See the world through a data lens
- 128. Aesthetics is deeply associated with emotions and feelings — Giorgio Lupi
- 130. The data is just part of the story. — Jonathan Harris
- 132. Closing the Gap