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Summer Shorts: Data Storytelling

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Don't just provide data. Provide insightful, impactful data through data visualization with Information Builders.

See the pre-recorded webcast online at: http://www.informationbuilders.com/webevents/online/24373

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Summer Shorts: Data Storytelling

  1. 1. Data Storytelling 1 Porter Thorndike Technical Director
  2. 2. The importance of Titles 2 • Nicholas Porter of House Thorndike, first of his name, • the Rainmaker, • Thorndeesi of the Green Mountains of Vermont, • Summa Cum Laude in Fear of Talking to Women, • Pre-Sales Technical Director of North America, • unanimously voted best hair at Information Builders, • Gold Medalist from the 2004 Olympic Games in Athens in the Men’s Rhythmic Gymnastics Ribbon Stick competition and • mother of Advanced Visualizations
  3. 3. Data Storytelling 3
  4. 4. Storytelling 4 I was vacationing with my family in York Beach, Maine over the July 4th Holiday. My daughter was playing with a friend of hers and I snuck up behind them with a cold bucket of ocean water. I asked them if they were hot and when they looked at me I dumped the bucket of water on them. • Your own experiences • Narration
  5. 5. Storytelling 5 I was vacationing with my family in York Beach, Maine over the July 4th Holiday. My daughter was playing with a friend of hers and I snuck up behind them with a cold bucket of ocean water. I asked them if they were hot and when they looked at me I dumped the bucket of water on them. • Your own experiences • Narration • Imagery
  6. 6. Storytelling 6 • Your own experiences • Narration • Data • Visualization
  7. 7. Full Screen Capture Page
  8. 8. Full Screen Capture Page Charles Minard – Sankey Diagram of Napoleon's campaign to Moscow
  9. 9. Full Screen Capture Page John Snow – Map of Cholera outbreak in London
  10. 10. Full Screen Capture Page Census Data
  11. 11. Full Screen Capture Page
  12. 12. Full Screen Capture Page Citibike Data
  13. 13. Full Screen Capture Page
  14. 14. Full Screen Capture Page Final Four Data
  15. 15. Full Screen Capture Page
  16. 16. Full Screen Capture Page http://annkemery.com/four-storytelling-strategies/?es_p=1372510
  17. 17. Best practice vs Advanced Viz? 17 http://www.computerworld.com/article/3048315/data-analytics/the-inevitability-of-data-visualization-criticism.html#tk.twt_ctw?es_p=1566893&utm_content=buffer24bbb&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
  18. 18. Poll Question #1 18 How do you prefer to communicate your story? 1.Visual best practice 2.Exotic Data Visualization
  19. 19. Data Storytelling 19 http://fivethirtyeight.com/features/what-the-hells-gotten-into-daniel-murphy/ • Current Events/Journalism • Visualization • Narration
  20. 20. StephenFew Is there a better metric? Why is this important? Is that good? “Design must become an innovative, highly creative, cross- disciplinary tool responsive to the true needs of men. It must be more research-oriented, and we must stop defiling the earth itself with poorly-designed objects and structures.”
  21. 21. Full Screen Capture Page http://www.davidmccandless.com/
  22. 22. Full Screen Capture Page http://www.davidmccandless.com/
  23. 23. StephenFew What Is the Best Response to Bad Practices? https://www.perceptualedge.com/blog/?p=2154 During the last two days, I spent a great deal of time corresponding with my friend Alberto Cairo after he informed me that he was hosting a public lecture by David McCandless at the University of Miami. Alberto and I are both critical of McCandless’ infographics. I am more passionate in my criticism, however, perhaps because I frequently and directly encounter the ill effects of McCandless’ influence. More than anyone else working in data visualization today, McCandless has influenced people to design data visualizations in ways that are eye-catching but difficult to read and often inaccurate. Also more than anyone else, when my readers and students talk about the challenges that they face in the workplace because their bosses and clients expect eye-candy rather than useful information effectively displayed, they identify McCandless as the source of this problem.
  24. 24. What Skills are required to be a data storyteller?  Curiosity/Hypothesis  Data  Find/Access  Wrangle  Discover  Analytical  Communication  Visualization  Narration  Conclusion?  Design 24
  25. 25. What technologies are used? R is used in every step of the data journalism process: for cleaning and processing data, for exploratory graphing and statistical analysis, for models deploying in real time as and to create publishable data visualizations. We write R code to underpin several of our popular interactives, as well, like the Facebook Primary and our historical Elo ratings of NBA and NFL teams. Heck, we’ve even styled a custom ggplot2 theme. We even use R code on long-term investigative projects. -Andrew Flowers 25 http://flowingdata.com/2016/07/12/r-in-the-data-journalism-workflow-at-fivethirtyeight/
  26. 26. Nate Silver 26
  27. 27. Full Screen Capture Page http://fivethirtyeight.com/
  28. 28. Full Screen Capture Page http://fivethirtyeight.com/features/are-juiced-balls-the-new-steroids/
  29. 29. Kat Downs-Mulder 29
  30. 30. Full Screen Capture Page http://postgraphics.tumblr.com/
  31. 31. Full Screen Capture Page https://www.washingtonpost.com/graphics/politics/obama-party/
  32. 32. Full Screen Capture Page http://flowingdata.com/
  33. 33. Full Screen Capture Page http://datausa.io/
  34. 34. Alberto Cairo 34
  35. 35. Giorgia Lupi 35 http://giorgialupi.com/work/
  36. 36. Giorgia Lupi 36 http://giorgialupi.com/work/#/famous-writers-sleep-habit-and-productivity//
  37. 37. Dr. Randal Olsen 37 http://www.randalolson.com/blog/
  38. 38. Porter Thorndike 38 https://www.linkedin.com/in/porter-thorndike-748bba89?trk=nav_responsive_tab_profile
  39. 39. Porter Thorndike 39 https://twitter.com/PorterThorndike
  40. 40. Poll Question #2 40 Who is the greatest data storytelling Rockstar? 1.Nate Silver 2.Nathan Yau 3.John Snow 4.Charles Minard 5.Kat Downs-Mulder 6.Other
  41. 41. Data Storytelling 41 How can I do it?
  42. 42. Full Screen Capture Page Data Storytelling in WebFOCUS
  43. 43. How can we help? 43
  44. 44. How can we help? 44
  45. 45. Analyze
  46. 46. Discover
  47. 47. It’s likean Investigation
  48. 48. Answerthe What
  49. 49. Answerthe why
  50. 50. Present–Tellthe Story
  51. 51. The Future 51 Natural Language Generation
  52. 52. What arethe components?
  53. 53. Don’t be intimidated!

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