Day 67 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 Review

Module Four Scales Review

  • Rewatched and commented all code to boost understanding.  Finding every time I do so I think more about what the functions do and how to solve problems.

Reading and Learning Data Visualization Theoretically/Critically:

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

p. 135-150 Exploring Data Visually

Three Takeaways

  • Process of exploring data four steps p 136
    • What data do you have?
    • What do you want to know about your data?
    • What visualization methods should you use?
    • What do you see and does it make sense?
  • “Common misconception is that you must understand a graphic in less than 10 seconds.  Relationships and patterns aren’t always straightforward so just because a visualization takes a few minutes to understand doesn’t make it a failed attempt.” p 141
  • Mosaics/news maps can be useful for showing subcategories p. 150

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