Day 89 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):

Going through Front-End WebDev

Reading and Learning Data Visualization Theoretically/Critically:

Reading Nathan Yau’s book Visualize This

127-157 Continuous Data and Visualizing Proportions

Three Takeaways:

  • Too many values for pie/donut charts are not good, but showing them in a series with limited values (<3) can be effective p 150
  • Protovis functions similar to D3 as it was a precursor, helps to think of D3 has creating a whole piece first in some ways, and then attaching each characteristic, eg margin, data, etc. p 156
  • Treemaps came from trying to figure out what was happening in a hard drive -> good for straight-up proportions but best when using hierarchal data p 157
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