Design guidelines for correlated quantitative data visualizations

Authors:
Vladimir Guchev;Massimo Mecella;Giuseppe Santucci
Affiliations:
Università di Roma, Italy;Università di Roma, Italy;Università di Roma, Italy
Venue:
Proceedings of the International Working Conference on Advanced Visual Interfaces
Year:
2012

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Abstract

Various visualization techniques for correlated multiple quantitative data sets, which allow a researcher to explore a character of content, are fairly common tools in the visual analysis. The available methods and techniques for a displaying of different diagram types, are suitable for a partial solution to this kind of a practical problem. This paper represents an overview for some existing tools and techniques, regarding the quantitative data visualization. As a key part of the paper, the design guidelines for a visual construction of correlated quantitative data values, which are mostly applicable for interactive techniques, are presented.