Day 72 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.

Reading and Learning Data Visualization Theoretically/Critically:

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

p. 189-201 Distributions

Three Takeaways

  • Distribution visuals include box plots, violin plots, histograms, density plots, heat maps, surface plots, etc. p 195
  • In box plot, the range in between the upper and lower quartiles is called the interquartile range.  The outer lines are the lower and upper fence,s defined by subtracting and adding 11/2 times the interquartile range from the lower and upper quartiles, respectively. p 196
  • Change bin sizes in histograms to you can see “variability over the range of values, but not so small that the histogram is too noisy to interpret” p. 197
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