Day 52 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:

Knight Journalism Course for the Americas:  Data Visualization and Infographics with D3! 

Alberto Cairo Lecture Part 3 Functional Visualization to End


  • If you need to read every single number – the chart is useless
  • Pie charts are not good for comparing changes – > only really good for simple share of total
    • Slope charts the solution
  • It’s difficult to estimate differences in area graphics -> they minimize differences.  People can’t really tell a bubble is 5x as large, for example.
    • Area graphics are more good for general patterns
      •  e.g. general geographic pattern on a map
  • Encode the same dataset in multiple ways -> e.g. bubble graph + table
  • Don’t try to cram too much data into a single chart.  In many cases, a “small multiple” (some call stacked matrix) display is the best solution

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