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Sunday, October 21, 2018

Measuring Document and Chart Complexity

Measuring Document Complexity, I assume to provide feedback to the authoring and generation of the same?   Can it also provide direct suggestions as to how they should be updated for differing goals?

New Data Science Method Makes Charts Easier to Read at a Glance   By Columbia University 

Medical doctors reading EEGs in emergency rooms, first responders looking at multiple screens showing live data feeds from sensors in a disaster zone, brokers buying and selling financial instruments all need to make informed decisions very quickly. Visualization complexity can complicate decision-making when one is looking at data on a chart. When timing is critical, it is essential that a chart be easy to read and interpret.

To help decision-makers in scenarios like these, computer scientists at Columbia Engineering and Tufts University have developed a new method—"Pixel Approximate Entropy"—that measures the complexity of a data visualization and can be used to develop easier to read visualizations. Eugene Wu, assistant professor of computer science, and Gabriel Ryan, a Ph.D. student at Columbia, will describe their findings in "At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity," to be presented at the IEEE VIS 2018 conference in Berlin, Germany.  .... "

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