Visual data analysis follows a sequence of steps derived from perceptual faculties that emanate from the human vision system. Firstly, pre-attentive phenomena determine a map of potential interesting objectives. Then, attentive selection concentrates on one element of a vocabulary of visual perceptions. Lastly, perceptions in working memory combine to long-term domain knowledge to support cognition. Following this process, we present a model that joins vision theory and visual data analysis aiming at settling a comprehension of why graphical presentations expand the human intellect, making us smarter.
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