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Journal articles

A Study on Dual-Scale Data Charts

Petra Isenberg 1, * Anastasia Bezerianos 2 Pierre Dragicevic 1 Jean-Daniel Fekete 1
* Corresponding author
1 AVIZ - Analysis and Visualization
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
2 IN-SITU - Situated interaction
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : We present the results of a user study that compares different ways of representing Dual-Scale data charts. Dual-Scale charts incorporate two different data resolutions into one chart in order to emphasize data in regions of interest or to enable the comparison of data from distant regions. While some design guidelines exist for these types of charts, there is currently little empirical evidence on which to base their design. We fill this gap by discussing the design space of Dual-Scale cartesian-coordinate charts and by experimentally comparing the performance of different chart types with respect to elementary graphical perception tasks such as comparing lengths and distances. Our study suggests that cut-out charts which include collocated full context and focus are the best alternative, and that superimposed charts in which focus and context overlap on top of each other should be avoided.
Mots-clés : Charts graphs dual scale
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Submitted on : Saturday, November 5, 2011 - 2:52:36 PM
Last modification on : Thursday, July 8, 2021 - 3:47:50 AM
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Petra Isenberg, Anastasia Bezerianos, Pierre Dragicevic, Jean-Daniel Fekete. A Study on Dual-Scale Data Charts. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2011, 17 (12), pp.2469-2487. ⟨10.1109/TVCG.2011.238⟩. ⟨inria-00638535⟩



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