New data science method makes charts easier to read at a glance

Science Daily  October 18, 2018
A team of researchers in the US (Columbia University, Tufts University) has developed a new method — “Pixel Approximate Entropy” — that measures the complexity of a data visualization and assigns a “visual complexity score”. The system automatically simplifies or summarizes charts that would be hard to read on their own. They modified a low dimensional entropy measure to operate on line charts, and then conducted a series of user studies that demonstrated the measure could predict how well users perceived charts… read more. TECHNICAL ARTILCE 

Figure showing an example of one of the user studies, in which users had to classify charts based on their shape. Credit: Gabriel Ryan, Wu Lab/Columbia Engineering

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