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Learning the Craft of Data Visualisation

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Data visualisation is a cross disciplinary activity that requires us to operate at the intersection of a visual designer, data scientist and storyteller. It is both a science and an art.

So how does one realistically learn these multitude of skills needed to get good at the craft of data visualisation. In this slide deck, I discuss ideas about the possible path that a beginner could adopt to learn this craft through sustained practice.

Published in: Data & Analytics
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Learning the Craft of Data Visualisation

  1. 1. Learning the Craft of Data Visualisation Amit Kapoor @amitkaps
  2. 2. Art - Craft - Science
  3. 3. craft | krɑːft noun: An activity involving skill in making or doing things by hand
  4. 4. How do you learn a craft?
  5. 5. Novice — Expert
  6. 6. Start with Basics
  7. 7. Do Repetitions
  8. 8. Conduct Deliberate Practice
  9. 9. Focus on Mastery
  10. 10. It took me a lifetime — Pablo Picasso
  11. 11. So, how do you start?
  12. 12. Learning Styles
  13. 13. We don’t see things as they are, we see them as we are. — Anais Nin
  14. 14. Understand your own strength
  15. 15. Learning Data Visualisation
  16. 16. Start with Charting Simple Datasets
  17. 17. Learn Basic Charts
  18. 18. Design Basic Charts
  19. 19. Expand your Chart Vocabulary
  20. 20. Visualisation is the transformation of the symbolic into geometric — McCormick et al. 1987
  21. 21. Think Geometric, Not Charts
  22. 22. Encode with Shapes and Colour
  23. 23. Position them out
  24. 24. Learn the Grammar
  25. 25. Play with Colour
  26. 26. Understand Visual Perception
  27. 27. Develop an Aesthetics Sense
  28. 28. Learning to See
  29. 29. Nature
  30. 30. Architecture
  31. 31. Abstract Art
  32. 32. Sketch ideas
  33. 33. Visualise Wide Datasets
  34. 34. Visualise Large Datasets
  35. 35. Visualise Spatial Datasets
  36. 36. Move to Layering
  37. 37. Multi-layered Static Visualisation
  38. 38. Narrative Visualisation
  39. 39. Dashboard Visualisation
  40. 40. Interactive Visualisation
  41. 41. Tools
  42. 42. Data is just a clue to the end truth — Josh Smith
  43. 43. See the world through a data lens
  44. 44. Aesthetics is deeply associated with emotions and feelings — Giorgio Lupi
  45. 45. Create beautiful aesthetics
  46. 46. The data is just part of the story. — Jonathan Harris
  47. 47. Tell stories that connect
  48. 48. Closing the Gap
  49. 49. Crafting Visual Stories with Data amitkaps.com
  50. 50. Amit Kapoor @amitkaps

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