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To contribute to this semi-automation, it is useful to have metrics that characterize different important aspects of the visualization techniques, such as data representation visibility. Besides, scatterplots are a widely used technique to visualize scalar datasets. In this context, this work presents a metric that evaluates data representation visibility considering glyph visibility in scatterplots. We defined a metric that estimates the proportion of glyphs that will be visible regardless of the drawing order, and it depends on the number of items in the dataset, the size of the window, and the size of the glyphs that will represent the data. To define and approximate the metric, we experimented with several random datasets for which both dimensions followed a normal distribution. This metric constitutes an alternative to characterize scatterplots and collaborates in the semi-automation of the user\u2019s decisions along the visualization process.<\/jats:p>","DOI":"10.1177\/1473871616638892","type":"journal-article","created":{"date-parts":[[2016,3,28]],"date-time":"2016-03-28T21:33:25Z","timestamp":1459200805000},"page":"113-125","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["Prediction of data visibility in two-dimensional scatterplots"],"prefix":"10.1177","volume":"16","author":[{"given":"Dana K","family":"Urribarri","sequence":"first","affiliation":[{"name":"VyGLab, Department of Computer Science & Engineering, Universidad Nacional del Sur, Bah\u00eda Blanca, Argentina"},{"name":"Institute in Computer Science & Engineering (ICIC), Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas (CONICET), Universidad Nacional del Sur, Bah\u00eda Blanca, Argentina"}]},{"given":"Silvia M","family":"Castro","sequence":"additional","affiliation":[{"name":"VyGLab, Department of Computer Science & Engineering, Universidad Nacional del Sur, Bah\u00eda Blanca, Argentina"}]}],"member":"179","published-online":{"date-parts":[[2016,7,25]]},"reference":[{"key":"bibr1-1473871616638892","volume-title":"The visual display of quantitative information","author":"Tufte ER","year":"2001","edition":"2"},{"key":"bibr2-1473871616638892","doi-asserted-by":"publisher","DOI":"10.1145\/275519.275523"},{"key":"bibr3-1473871616638892","doi-asserted-by":"publisher","DOI":"10.1145\/1842993.1843002"},{"key":"bibr4-1473871616638892","doi-asserted-by":"publisher","DOI":"10.1109\/38.7749"},{"key":"bibr5-1473871616638892","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1973.10482434"},{"key":"bibr6-1473871616638892","first-page":"514","volume-title":"Proceedings of the 1988 IEEE international conference on systems, man, and cybernetics","author":"Pickett RM"},{"key":"bibr7-1473871616638892","unstructured":"Borgo R, Kehrer J, Chung DHS, Glyph-based visualization: foundations, design guidelines, techniques and applications. 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ScagExplorer: exploring scatterplots by their scagnostics. In: Proceedings of the 2014 IEEE pacific visualization symposium (PACIFICVIS \u201914), 2014, pp. 73\u201380. Washington, DC: IEEE Computer Society, http:\/\/dx.doi.org\/10.1109\/PacificVis.2014.42","DOI":"10.1109\/PacificVis.2014.42"},{"key":"bibr20-1473871616638892","unstructured":"Escarza S, Larrea ML, Urribarri DK, Integrating semantics into the visualization process. In: Hagen H (ed.) Scientific visualization: interactions, features, metaphors, vol. 2 of Dagstuhl Follow-Ups. 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