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ITOUG Tech Days 2020 - Challenges and Pitfalls ​ of ​ Data Visualization​

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❗️Challenges and Pitfalls of Data Visualization ⠀

Presented in Rome, during the #ITOUG Tech Days 2020. I shared my vision on storytelling with data and visualizations.

Two short tips:⠀

✅ Keep it Simple Stupid - KISS⠀
✅ Less is More

Published in: Data & Analytics
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ITOUG Tech Days 2020 - Challenges and Pitfalls ​ of ​ Data Visualization​

  1. 1. ITOUG Tech Days January 2020 Milan & Rome Challenges and Pitfalls of Data Visualization
  2. 2. Daan Bakboord https://www.daanbakboord.com/ https://twitter.com/daanbakboord https://nl.linkedin.com/in/daanbakboord https://www.daanalytics.nl/blog #obihackers Challenges and Pitfalls of Data Visualization | January 2020 https://www.pong.nl/
  3. 3. Agenda • Introduction • Mind • Perception • Psychology • Thinking • Dashboard Design Challengesand Pitfallsof Data Visualization
  4. 4. Initiatives IT IT IT Reliable Information/ Insights A BChange/Policy / Strategy Data
  5. 5. https://www.oracle.com/business-analytics/data-visualization/examples.html
  6. 6. A picture says more than a thousand words
  7. 7. What’s your Story?
  8. 8. Visual Perception
  9. 9. Visual Perception
  10. 10. Visual Perception
  11. 11. Visual Perception
  12. 12. Visual Perception - Process Register Observe&Interpret
  13. 13. Visual Perception • Iconic Memory • letters,colors,digits,shapes,etc. • e.g. Computerbuffer • Short Term memory • chunksofinformationFiFo • e.g. RandomAccess Memorie (RAM) • Long Term memory • recognise people, events,patterns,etc. • e.g. Computerharddisk
  14. 14. “Gestalt” Psychology Overall picture beforeperception of components Figure / Ground Law ofGroupingWhole is more than Sum ofParts
  15. 15. It’s all about Perception
  16. 16. Gestalt Principles of Perception Closure Proximity Similarity Continuation Prägnanz (Good Figure, Simplicity)
  17. 17. Optical Illusion
  18. 18. Optical Illusion
  19. 19. Two SystemWay of Thinking • System I • ThinkingFast • Intuitive, “Gut”reaction • Jump toConclusion • “AlwaysOn” • System II • ThinkingSlow • Reflection • Problemsolving • Analysing
  20. 20. Dashboard Design • Present information Logical andOrdered • Signaling should beClear and Unambiguous • Choose the right Visualization • Don’tgive SystemI theopportunitytogo wrong • Optimal balance between System I & System 2 • Focus on the coremessage
  21. 21. Subconscious Attributes • Color (Intensity) • Shape • Positioning • Motion
  22. 22. Using Color 98675321098739873947612902 16438902451209137828462010 08345601395660087414383020 47294901837900298265150137 Count the number ‘5’
  23. 23. Using Color 98675321098739873947612902 16438902451209137828462010 08345601395660087414383020 47294901837900298265150137 98675321098739873947612902 16438902451209137828462010 08345601395660087414383020 47294901837900298265150137 Count the number ‘5’
  24. 24. Color Blind ExperienceColorBlindnessvia Color Oracle
  25. 25. Right Wrong Using Color Associations B & W Printing Toomuch color –where to focus?
  26. 26. Data Ink Ratio Edward Tufte
  27. 27. Data Ink Ratio Edward Tufte
  28. 28. Data Ink Ratio Edward Tufte
  29. 29. Data Ink Ratio • Minimize the Data Ink Ratio as muchas possible • Increase the Data Ink Ratio if necessary to tell the story
  30. 30. Graphs
  31. 31. Graphs
  32. 32. After a demobyan Account Manager Visuals
  33. 33. Report
  34. 34. Stephen Few http://www.perceptualedge.com/
  35. 35. Stephen Few Bullet GraphSparkLine
  36. 36. JQuery
  37. 37. Data VisualizationExtensions(DVD SDK) https://www.oracle.com/business-analytics/data-visualization/extensions.html
  38. 38. How to Choose the Chart Type
  39. 39. See the Signals • OurBrains 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
  40. 40. Advice
  41. 41. Questions?
  42. 42. Thanks!

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