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Challenges and Pitfalls of Data Visualization

Challenges and Pitfalls of Data Visualization

"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.

Daan Bakboord

June 07, 2018
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  1. nlOUG Tech Experience 2018 Challenges and Pitfalls of Data Visualization

    7 June 2018 - 14:00 - 14:45 / De Rijtuigenloods, Amersfoort
  2. Agenda • Introduction • Mind • Perception • Psychology •

    Thinking • Dashboard Design Challenges and Pitfalls of Data Visualization
  3. 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
  4. “Gestalt” Psychology Overall picture before perception of components Figure /

    Ground Law of Grouping Whole is more than Sum of Parts
  5. 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
  6. 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
  7. Data Ink Ratio • Minimize the Data Ink Ratio as

    much as possible • Increase the Data Ink Ratio if necessary to tell the story
  8. 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