Day 99 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:
  • Treehouse Back-to-Basics (again, not taking notes for basic review):
  • Knight D3 Intermediate D3 for Data Journalism
    • Module 1 Discussion and Exercise
Reading and Learning Data Visualization Theoretically/Critically:

Reading Nathan Yau’s book Visualize This


220-238 Visualizing Relationships and Spotting Differences

Three Takeaways:

  • General process of creating histograms: load data, filter outliers, set breaks, set layout. p 221
  • Showing small multiples with histograms, eg flipped 90 degrees side by side can be an interesting visual (Rotten Trilogy Finales as example)p 223
  • “Chernoff Faces displays multiple variables at once by positioning parts of the human face, such as ears, hair ,e yes, and nose , based on numbers in  a dataset.  The assumption is that you can read people’s faces easily in real life so you should recognize small differences when they represent data.  That’s a big assumption, but roll with it … useful time to time.”
    p 238

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