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Ambiguous circle. Image-maker helps the viewer interpret the shape by providing visual cues (redesigned and redrawn after Adrian Frutiger)..

Ambiguous circle. Image-maker helps the viewer interpret the shape by providing visual cues (redesigned and redrawn after Adrian Frutiger)..

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This article discusses terminology useful toward the creation and discussion of visualizations. It continues and expands on a hands-on tutorial delivered by the author at the VisWeek2012 conference in October 2012 in Seattle, WA. Today, many fields of scientific activity have become increasingly reliant on visuals as means of dissemination, explora...

Contexts in source publication

Context 1
... the practitioner's point of view, the under-defined inside-outside relationship often leads to ambiguity. A circle ( figure 1A) can represent virtually anything. Is it a ball? ...
Context 2
... lines of internal structure defining the area inside the circle transform it into a basketball (figure 1B). If a pattern appears on circle's outside, we learn that the ambiguous area is in fact a hole ( figure 1C). Drawing another circle inside the first one prompts us to see them related; our mind fills the gap for us, and a white area emerges between the circles ( figure 1D). ...
Context 3
... a pattern appears on circle's outside, we learn that the ambiguous area is in fact a hole ( figure 1C). Drawing another circle inside the first one prompts us to see them related; our mind fills the gap for us, and a white area emerges between the circles ( figure 1D). ...

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... Comparison of sub-Bundles in the composite Sequence Bundles visualisation is facilitated by the use of labelling by colour, as well as by plotting each group with a vertical offset relative to one another. The selection of black and saturated light blue colours in Figure 1 complies with the best practices of visual design [13], as it enables users with any kind of colour-blindness to discern each sub-Bundle, thus allowing an even greater range of users to comfortably work with Sequence Bundles. ...
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... Within the data visualization, no more than six to eight distinct colors should be used to encode data items close to each other. The human visual system cannot distinguish more than eight (Kultys, 2013). Colors that are used to measure should be used with intelligence and a colors saturation level should be scaled to the scale of measurement that color is representing. ...
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