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TimePool: Visually Answer "Which and When" Questions On Univariate Time Series

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arxiv 2308.00682 v1 pith:5W6OTUWV submitted 2023-08-01 cs.HC cs.IR

Tinghao Feng , Yueqi Hu , Jing Yang , Tom Polk , Ye Zhao , Shixia Liu , Zhaocong Yang This is my paper
classification cs.HCcs.IR
keywords whentimeexpectancylifeseriescountriesquestionsthey
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When exploring time series datasets, analysts often pose "which and when" questions. For example, with world life expectancy data over one hundred years, they may inquire about the top 10 countries in life expectancy and the time period when they achieved this status, or which countries have had longer life expectancy than Ireland and when. This paper proposes TimePool, a new visualization prototype, to address this need for univariate time series analysis. It allows users to construct interactive "which and when" queries and visually explore the results for insights.

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