Learning the Craft of Data Visualisation

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Mar. 04, 2016

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Learning the Craft of
Data Visualisation
Amit Kapoor
@amitkaps

Art - Craft - Science

craft | krɑːft
noun: An activity involving skill in
making or doing things by hand

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Learning the Craft of Data Visualisation

Mar. 04, 2016

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Data & Analytics

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.

Crafting Visual Stories with Data

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.

Data & Analytics

License: CC Attribution License

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Learning the Craft of Data Visualisation

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