Day 170 of 180 Days of Data Viz Learning #jfdi #dataviz

I’m doing some form of data visualization learning for 180 days because I need to #JFDI.

See post explaining how and why I’m doing this.

Reading and Learning Data Visualization Theoretically/Critically:

Edward Tufte Visual Display of Quantitative Information

Chapter 8 Data Density and Small Multiples

Three Takeaways

  • “The way to increase data density other than by enlarging the data matrix is to reduce the area of a graphic.  The Shrink Principle has a wide application: Graphic can be shrunk way down.” p 169
  • “Well designed small multiples are
    • inevitably comparative
    • deftly multivariate
    • shrunken, high-density graphics
    • usually based on a large data matrix
    • drawn almost entirely with data-ink
    • efficient in interpretation
    • often narrative in context, showing shifts in the relationship between variables as the index variable changes (thereby revealing interactive or multiplicative effects). p 175
  • “Small multiples reflect much of the theory of data graphics: For non-data-ink, less is more.  For data-ink, less is a bore” p 175
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