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. © 2012 Authors.
Design guidelines for correlated quantitative data visualizations / Vladimir, Guchev; Mecella, Massimo; Santucci, Giuseppe. - ELETTRONICO. - (2012), pp. 761-764. (Intervento presentato al convegno 2012 International Working Conference on Advanced Visual Interfaces, AVI 2012 tenutosi a Capri Island, Italy nel 21 May 2012 through 25 May 2012) [10.1145/2254556.2254703].
Design guidelines for correlated quantitative data visualizations
MECELLA, Massimo;SANTUCCI, Giuseppe
2012
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. © 2012 Authors.File | Dimensione | Formato | |
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