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Challenges and Pitfalls of Data Visualization

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"A picture says more than a thousand words"". This sounds like a true statement. While it's true that it is easier to tell a story with visuals than with words, it makes a huge difference which visual you are using for which story. What is the real story behind a visual. Using the wrong visual to tell a certain story can reduce the benefit of a visual to zero. In this presentation we will go through the challenges & pitfalls of Data Visualization.

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Challenges and Pitfalls of Data Visualization

  1. 1. nlOUG Tech Experience 2018 Challenges and Pitfalls of Data Visualization 7 June 2018 - 14:00 - 14:45 / De Rijtuigenloods, Amersfoort
  2. 2. Welcome Daan Bakboord http://www.daanbakboord.com https://twitter.com/daanbakboord https://nl.linkedin.com/in/daanbakboord http://blog.daanalytics.nl #obihackers
  3. 3. Agenda • Introduction • Mind • Perception • Psychology • Thinking • Dashboard Design Challenges and Pitfalls of Data Visualization
  4. 4. Initiatives IT IT IT Reliable Information / Insights A BChange / Policy / Strategy Data
  5. 5. A picture says more than a thousand words
  6. 6. Visual Perception
  7. 7. Visual Perception
  8. 8. Visual Perception
  9. 9. Visual Perception - Process Register Observe & Interpret
  10. 10. Visual Perception • Iconic Memory • letters, colors, digits, shapes, etc. • e.g. Computer buffer • Short Term memory • chunks of information FiFo • e.g. Random Access Memorie (RAM) • Long Term memory • recognise people, events, patterns, etc. • e.g. Computer harddisk
  11. 11. “Gestalt” Psychology Overall picture before perception of components Figure / Ground Law of GroupingWhole is more than Sum of Parts
  12. 12. It’s all about Perception
  13. 13. Gestalt Principles of Perception Closure Proximity Similarity Continuation Prägnanz (Good Figure, Simplicity)
  14. 14. Optical Illusion
  15. 15. Optical Illusion
  16. 16. Two System Way of Thinking • System I • Thinking Fast • Intuitive, “Gut” reaction • Jump to Conclusion • “Always On” • System II • Thinking Slow • Reflection • Problem solving • Analysing
  17. 17. Dashboard Design • Present information Logical and Ordered • Signaling should be Clear and Unambiguous • Choose the right Visualization • Don’t give System I the opportunity to go wrong • Optimal balance between System I & System 2 • Focus on the core message
  18. 18. Subconscious Attributes • Color (Intensity) • Shape • Positioning • Motion
  19. 19. Using Color 98675321098739873947612902 16438902451209137828462010 08345601395660087414383020 47294901837900298265150137 98675321098739873947612902 16438902451209137828462010 08345601395660087414383020 47294901837900298265150137 Count the number ‘5’
  20. 20. Color Blind Experience Color Blindness via Color Oracle
  21. 21. Right Wrong Using Color Associations B & W Printing Too much color –where to focus?
  22. 22. Data Ink Ratio Edward Tufte
  23. 23. Data Ink Ratio • Minimize the Data Ink Ratio as much as possible • Increase the Data Ink Ratio if necessary to tell the story
  24. 24. Graphs
  25. 25. Graphs
  26. 26. After a demo by an Account Manager Visuals
  27. 27. Report
  28. 28. Stephen Few http://www.perceptualedge.com/
  29. 29. Stephen Few Bullet GraphSparkLine
  30. 30. JQuery
  31. 31. See the Signals • Our Brains are better suited to process Images • Turn complex data sets into Easy to Digest and Supporting Insights • Identify interesting Patterns and Opportunities and Previously Unknown Trends
  32. 32. Questions?
  33. 33. Thanks!

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