Qualizon Graphs: Space-Efficient Time-Series Visualization with Qualitative Abstractions

Abstract

In several application fields, the joint visualization of quantitative data and qualitative abstractions can help analysts make sense of complex time series data by associating precise numeric values with corresponding domain-specific interpretations, such as good, bad, high, low, normal. At the same time, the need to analyze large multivariate datasets often calls for keeping visualizations as compact as possible. In this paper, we introduce Qualizon Graphs, a compact visualization that combines quantitative data and qualitative abstractions. It is based on the well known Horizon Graphs, but instead of a predefined number of equally sized bands, it uses as many bands as qualitative categories with corresponding different widths. In this way, Qualizon Graphs increase the data density of visualized quantitative values and inherently integrate qualitative abstractions. The results of a comparative evaluation against an existing composite visualization show that Qualizon Graphs enable higher accuracy for quantitative tasks at the cost of a longer completion time for qualitative tasks.

 

Publication

P. Federico, S. Hoffmann, A. Rind, W. Aigner, S. Miksch. Qualizon Graphs: Space-Efficient Time-Series Visualization with Qualitative Abstractions. In Proceedings of the Working Conference on Advanced Visual Interfaces - AVI 2014 (DOI:10.1145/2598153.2598172)

 

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Evaluation prototype (26.2 MB)

AttachmentSize
Evaluation Tasks3.68 KB
Evaluation Results39.3 KB