Day 73 of 180 Days of Data Viz Learning #jfdi

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.

Code Learning:

  • Did code review and comment of previous modules on Knight’s Journalism Data Visualization and D3 course of Module Four on Scales and Axes
  • Reviewed Values, Types, and Operators and chapters (1+2) in Eloquent Javascript
  • *Not writing takeaways for review items for brevity and time

Reading and Learning Data Visualization Theoretically/Critically:

Reading Nathan Yau’s book Data Points – Visualization that Means Something

p. 201-210 Visual Hierarchy and Readability

Three Takeaways

  • “Highlight data with bolder colors than the other visual elements, and lighten or soften other elements so they sit in the background.  Use arrows and lines to direct eyes to the point of interest.  This creates a visual hierarchy that helps readers immediately focus on the vital parts of a data graphic and use the surroundings as context, as opposed to a flat graphic that a reader must visually rummage through” p 203
  • Example application of above is reducing grid lines so they don’t obscure other data points, using colors and shading, and styling axis p 204
  • “Area can also make data seem more tangible or relatable, because physical objects take up space.  A circle or a square uses more space than a dot on a screen or paper.  There’s less abstraction between visual cue and real world.” p 210

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