TimeElide: Visual Analysis of Non-Contiguous Time Series Slices


We introduce the design and implementation of TimeElide, a visual analysis tool for the novel data abstraction of non-contiguous time series slices, namely time intervals that contain a sequence of time-value pairs but are not adjacent to each other. This abstraction is relevant for analysis tasks where time periods of interest are known in advance or inferred from the data, rather than discovered through open-ended visual exploration. We present a visual encoding design space as an underpinning of TimeElide, and the new sparkbox technique for visualizing fine and coarse grained temporal structures within one view. Datasets from different domains and with varying characteristics guided the development and their analysis provides preliminary evidence of TimeElide's utility.



TimeElide: Visual Analysis of Non-Contiguous Time Series Slices.
IEEE Visualization Conference (VIS), 2021
Michael Oppermann, Luce Liu, and Tamara Munzner