Interactive Horizon Graphs: Improving the Compact Visualization of Multiple Time Series

Charles Perin 1, 2 Frédéric Vernier 3 Jean-Daniel Fekete 1, *
* Corresponding author
1 AVIZ - Analysis and Visualization
Inria Saclay - Ile de France
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 multiple time series. Two prominent approaches are reduced line charts (RLC), which display small multiples for time series, and the more recent horizon graphs (HG). We propose to unify RLC and HG using a new technique--interactive horizon graphs (IHG)-- which uses pan and zoom interaction to increase the number of time series that can be analysed in parallel. In a user study we compared RLC, HG, and IHG across several tasks and numbers of time series, focusing on datasets with both large scale and small scale variations. Our results show that IHG outperform the other two techniques in complex comparison and matching tasks where the number of charts is large. In the hardest task IHG have a significantly higher number of good answers (correctness) than HG (+14%) and RLC (+51%) and a lower error magnitude than HG (-64%) and RLC (-86%).
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Charles Perin, Frédéric Vernier, Jean-Daniel Fekete. Interactive Horizon Graphs: Improving the Compact Visualization of Multiple Time Series. Proceedings of the 2013 Annual Conference on Human Factors in Computing Systems (CHI 2013), ACM, Apr 2013, Paris, France. pp.3217-3226, ⟨10.1145/2470654.2466441⟩. ⟨hal-00781390⟩

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