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The biggest missed opportunity in data visualization

In technical communication, the main thing is to keep the main thing the main thing. There are multiple ways to ensure this principle. Some of these ways require careful chart fine-tuning. However, there is one tool that is easy to master, fast to apply, and that provides a high return on the investment rate. I refer to chart titles. In this talk, I had two main theses. My first thesis is that most of you suck in communication (and not only data visualization). My second thesis is that you can quickly improve your graphs by merely adding a good title. The importance of good titles is not new to my preaching, but I thought it was an excellent thing to formalize this thesis a bit, and I'm thankful to the NDR organizers for giving me this opportunity. This is the slide stack from my NDR presentation.
See my post https://gorelik.net/2020/07/28/how-to-suck-less-in-data-visualization-and-professional-communication/

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The biggest missed opportunity in data visualization

  1. 1. Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net The biggest missed opportunity in data visualization
  2. 2. Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net The biggest missed opportunity in data communication visualization
  3. 3. Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net The biggest missed opportunity in professional communication data communication visualization
  4. 4. The main thing is to keep the main thing the main thing
  5. 5. Most of you suck.
  6. 6. Most of you suck, but you don’t have to.
  7. 7. Who am I? The biggest missed opportunity in data visualization Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net 2001
  8. 8. The main thing is to keep the main thing the main thing
  9. 9. Is this a good graph?
  10. 10. What’s the main thing here?
  11. 11. What’s the main thing here?
  12. 12. What’s the main thing here?
  13. 13. The biggest missed opportunity in data visualization Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net Why most of you suck? What do you usually do? What should you do?
  14. 14. Why most of you suck?
  15. 15. Becoming a data scientist is easy
  16. 16. Becoming a data engineer is easy
  17. 17. Becoming a data analyst is easy
  18. 18. Becoming a programmer is easy
  19. 19. Becoming a statistician is easy
  20. 20. Becoming a data scientist/programmer/statistician is easy
  21. 21. “Your analyses are fascinating, although I don’t understand 95% of them” My co-worker in an anonymous feedback
  22. 22. If a tree falls in a forest and no one is around to hear it, does it make a sound?
  23. 23. If you work hard and no one is around who understands you, do you actually work?
  24. 24. Communication?
  25. 25. Most of you suck (relatively)
  26. 26. What’s the main thing here?
  27. 27. “Your analyses are fascinating, although I don’t understand 95% of them” My co-worker in an anonymous feedback
  28. 28. “Storytelling isn’t a soft skill; storytelling is fundamental” Geoff Ralston, CEO Y-Combinator
  29. 29. Most of you suck
  30. 30. When running away, I don’t need to outrun the lion, I need to outrun you
  31. 31. Why most of you suck? What do you usually do? What should you do? The biggest missed opportunity in data visualization Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net
  32. 32. What you usually do
  33. 33. The typical workflow
  34. 34. results = do_stuff() visualize(results)
  35. 35. results = do_stuff() visualize_with_diagnostics(results)
  36. 36. results = do_stuff() visualize_with_diagnostics( results, metrics=True )
  37. 37. for normalization in ( 'none', 'minmax', 'to_mean', ... ): for method in ( 'LR', 'SVM', 'RNN', ... ): results = do_stuff( normalization=normalization, method=method ) fig = visualize_with_diagnostics( results, metrics=True, title=f'{normalization} {method}.' ) fig.savefig(f'figs/{normalization}_{method}.png')
  38. 38. Where’s that presentation?
  39. 39. What’s the main thing here?
  40. 40. Why most of you suck? What do you usually do? What should you do? The biggest missed opportunity in data visualization Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net
  41. 41. What should you do?
  42. 42. Reading is easier Thinking is hard
  43. 43. Text
  44. 44. Subvocalization
  45. 45. Short
  46. 46. ‫טקסט‬ ‫نص‬ ⽂本
  47. 47. “What” vs. “So what?”
  48. 48. Data dynamics
  49. 49. Our data is highly seasonal
  50. 50. ECG
  51. 51. No signs of arrhythmia or Q-T prolongation
  52. 52. You’re OK
  53. 53. Prediction performance
  54. 54. Why writing conclusions? • Convince • Discipline • Endanger
  55. 55. Subvocalization
  56. 56. I’ll tell you what to think
  57. 57. Boris Gorelik is the best
  58. 58. Why writing conclusions? • Convince • Discipline • Endanger
  59. 59. Discipline
  60. 60. Does the graph say what I say that it says?
  61. 61. Why writing conclusions? • Convince • Discipline • Endanger
  62. 62. Make claims that future observations might show to be false Karl Popper (not a citation)
  63. 63. Why writing conclusions? • Convince • Discipline • Endanger
  64. 64. It’sFAST
  65. 65. It’sFAST
  66. 66. Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net Why most of you suck? What do you usually do? What should you do?
  67. 67. Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net Why most of you suck? What do you usually do? What should you do?
  68. 68. Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net Why most of you suck? What do you usually do? What should you do?
  69. 69. Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net Why most of you suck? What do you usually do? What should you do?
  70. 70. Boris Gorelik, Ph.D Freelance consultant: data science & visualization | boris@gorelik.net https://gorelik.net

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