In this episode, I interview Alberto Cairo on Purpose-Driven Data Visualization.
Alberto responds to the following questions during this interview:
Why is data visualization something that we should care about?
What is the process you follow when attempting to understand data visualization?
What is the process you follow when creating a chart?
How do you know when your chart is overly complicated?
What are typical methods to make complicated charts more understandable?
When should annotations be used to explain findings?
There is the famous quote by Feynman- “The first principle is that you must not fool yourself and you are the easiest person to fool.” What are some suggestions you might have for chart developers to help them be honest with themselves?
When talking about data visualization you have also mentioned the importance of the cognitive domain of attention. Can you speak more about this?
For professionals who should be competent in the use of data visualizations, what training, resources, and/or experiences do you suggest to obtain sufficient graphicacy?
What blogs, newsletters, podcasts, websites, etc. do you consume?
Related or not related to data visualization. Aside from your books, how should people find out more about your work?
You can find Alberto Cairo on Twitter @AlbertoCairo
Watch the video recording of our interview here: