Neglected (Yet Foundational) Concepts in the Pedagogy of Data Visualization

I love this post! I spend a ton of time building charts and I've certainly run into each of the topics that the author points out, yet I never even thought of them as problems to be solved. Here's an example from a section on Scalability:

When you analyze and visualize data from nontrivial data sets, it happens surprisingly often that a categorical attribute has too many values to be visualized effectively. How do you deal with that? And of course the same is true for when you have too many data objects. For instance, how do you visualize 100 time series in a line chart?


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