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Skau D.,UNC Charlotte | Kosara R.,UNC Charlotte | Kosara R.,Tableau Research
Computer Graphics Forum | Year: 2016

Pie and donut charts have been a hotly debated topic in the visualization community for some time now. Even though pie charts have been around for over 200 years, our understanding of the perceptual factors used to read data in them is still limited. Data is encoded in pie and donut charts in three ways: arc length, center angle, and segment area. For our first study, we designed variations of pie charts to test the importance of individual encodings for reading accuracy. In our second study, we varied the inner radius of a donut chart from a filled pie to a thin outline to test the impact of removing the central angle. Both studies point to angle being the least important visual cue for both charts, and the donut chart being as accurate as the traditional pie chart. © 2016 The Author(s) Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. Source


Kosara R.,Tableau Research
IEEE Computer Graphics and Applications | Year: 2016

Data visualization research focuses on data exploration and analysis, yet the vast majority of visualizations people see were created for a different purpose: presentation. Whether we are talking about charts showing data to help make a presenter's point, data visuals created to accompany a news story, or the ubiquitous infographics, many more people consume charts than make them. Traditional visualization techniques treat presentation as an afterthought, but are there techniques uniquely suited to data presentation but not necessarily ideal for exploration and analysis? This article focuses on presentation-oriented techniques, considering their usefulness for presentation first and any other purposes as secondary. © 1981-2012 IEEE. Source


Froese M.-E.,University of Victoria | Tory M.,Tableau Research
IEEE Computer Graphics and Applications | Year: 2016

A variety of visualization guidelines, principles, and techniques are available to help create a visualization-based dashboard, but few publications discuss the experience of designing dashboards in the real world. This article discuss the lessons learned from designing applications for small start-up companies and institutions. From their experience as visualization practitioners, the authors confirm the need for tailored and customizable approaches, emphasize the need for a quicker way to create functional prototypes, point out frequent misconceptions on the scope of a functional prototype, discuss how performance can affect prototyping, and discuss the resistance of industrial partners to involve their customers in requirements gathering. © 1981-2012 IEEE. Source


Skau D.,Visually Inc. | Harrison L.,Tufts University | Kosara R.,Tableau Research
Computer Graphics Forum | Year: 2015

(Figure Presented). As data visualization becomes further intertwined with the field of graphic design and information graphics, small graphical alterations are made to many common chart formats. Despite the growing prevalence of these embellishments, their effects on communication of the charts' data is unknown. From an overview of the design space, we have outlined some of the common embellishments that are made to bar charts. We have studied the effects of these chart embellishments on the communication of the charts' data through a series of user studies on Amazon's Mechanical Turk platform. The results of these studies lead to a better understanding of how each chart type is perceived, and help provide guiding principles for the graphic design of charts. © 2015 The Author(s) Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. Source


Haroz S.,Northwestern University | Kosara R.,Tableau Research | Franconeri S.L.,Northwestern University
Conference on Human Factors in Computing Systems - Proceedings | Year: 2015

Although the infographic and design communities have used simple pictographic representations for decades, it is still un-clear whether they can make visualizations more effective. Using simple charts, we tested how pictographic representa-tions impact (1) memory for information just viewed, as well as under the load of additional information, (2) speed of find-ing information, and (3) engagement and preference in seek-ing out these visualizations. We find that superfluous images can distract. But we find no user costs - And some intriguing benefits - When pictographs are used to represent the data. © Copyright 2015 ACM. Source

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