Day 114 0f 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:

Udacity Data Visualization and D3.js

2b Dimple.js lecture:

  • Dimple.js is framework that allows us to work at abstraction level charts rather than lower level visual codings such as shape and visual encoding.
  • Built on top D3 and designed for analysts to easily create charts and exposes native D3 objects as well.
  • D3 should be loaded before Dimple.js library in <head>

Back to Basics Front-End Web Dev on D3 (not doing takeaways since I just need to review and run through this – anything I need to memorize I do with pen and paper so it’ll REALLY sink in)

Reading and Learning Data Visualization Theoretically/Critically:

Reading Nathan Yau’s book Visualize This

311-341 Designing with a Purpose

Three Takeaways:

  • “So the next time you have a dataset in front of you, try not to jump right into design.  That’s the lazy person’s way out, and it always shows in the end.  Take time to get to know your data and learn the context of the numbers” p 328
  • “Your job as a data designer is to communicate what you know to your audience.  They most likely didn’t look at the data, os they might not se the same thing that you see if there’s no explanation of setup.” – giving primers and simple explanations will make a world of difference p 330
  • Don’t neglect use of colors to help give context (somber versus light and evoke emotion.  “choose colors that represent an accurate message” p 337
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