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:
Reading Nathan Yau’s book Data Points – Visualization that Means Something
p. 260-290 Things to Consider and Wrapping Up
- “Sometimes, when you work with a dataset for awhile, it’s easy to forget that others aren’t as familiar with it as you are. When you know all the intimate details, it’s hard to step back and remember what it was when you first opened up a file or database- just a bunch of numbers. However, that’s where a lot of people are when they look at visualization, so bring them up to speed.” p 259
- “The best way to learn where people are is to show your work to those who don’t know your data. You get an immediate sense of understanding from first impressions” p 259
- Don’t avoid more advanced visualization techniques if they can’t be understood from first glance – just be sure to be able to tell your story p 261