Data at Work

Companion site for the book. And more.

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Copyright © 2016 Wisevis

  • The Book ▼
    • 00 Introduction
    • 01 The building blocks of data visualization
    • 02 Visual Perception
    • 03 Beyond Visual Perception
    • 04 Data Preparation
    • 05 Data Visualization
    • 06 Data Discovery, Analysis, and Communication
    • 07 How to Choose a Chart
    • 08 A Sense of Order
    • 09 Parts of a Whole: Composition Charts
    • 10 Scattered Data
    • 11 Change Over Time
    • 12 Relationships
    • Chapter 13: Profiling
    • 14 Designing for Effectiveness
    • 15 Color: Beyond Aesthetics
    • 16 Conclusion
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Chapter 13: Profiling

chapter13
The horizon chart.

Perhaps in a few years’ time, immersive technologies will turn current chart types into the silent movies of data visualization. While we wait for the future to arrive, it’s worth thinking of ways to add more data and extend the lifespan of the chart types we have today. If you think about it, many of the ideas discussed in the book will have that side effect.

One way of adding more detail to a chart is by creating profiles. Profiling is the representation of entities by creating an array of similar charts in which there are two readings: a reading of each individual profile and a comparison reading with other profiles. The integration and interdependence of these charts should lead us to consider them as a whole—as a single chart rather than as separate charts.

Corrections & Suggestions

None so far.

Files

  • (XLSM) Workbook for Chapter 13

Additional Resources

  • National Snow & Ice Data Center: Interactive Sea Ice Graph.
  • Birtifier: Revisiting Bertin’s Matrices.

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