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Progressive Horizon Graphs: Improving Small Multiples Visualization of Time Series

Charles Perin 1, 2 Frédéric Vernier 3 Jean-Daniel Fekete 2
2 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France, LRI - Laboratoire de Recherche en Informatique, Université Paris-Saclay
3 AMI - Architectures et Modèles pour l'Interaction
LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur : 247329
Abstract : Many approaches have been proposed for the visualization of time series. The reduced line charts (small multiples for time series) and the more recent horizon graphs are two of these visualization techniques with benefits for visualizing multiple time series that we propose to unify, using a variant of the pan and zoom interaction on the y axis. We compare in a user study reduced line charts, horizon graphs, and our own contribution--progressive horizon graphs-- for different tasks and numbers of concurrent time series using datasets with small variations. While recent work has compared horizon graphs with others visualization techniques and has made some recommendations on their usability, the real advantages of this technique are not clear. The results of our controlled user study show that progressive horizon graphs overcome these two visualization techniques when the number of charts increases.
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https://hal.inria.fr/hal-00734497
Contributor : Charles Perin <>
Submitted on : Saturday, September 22, 2012 - 1:48:40 PM
Last modification on : Wednesday, June 24, 2020 - 2:30:10 PM

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  • HAL Id : hal-00734497, version 1

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Charles Perin, Frédéric Vernier, Jean-Daniel Fekete. Progressive Horizon Graphs: Improving Small Multiples Visualization of Time Series. IEEE Conference on Information Visualization (INFOVIS), IEEE, Oct 2012, Seattle, Washington, USA, United States. ⟨hal-00734497⟩

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