Details

Autor(en) / Beteiligte

• Feng, Tinghao
• Hu, Yueqi
• Yang, Jing
• Polk, Tom
• Zhao, Ye
• Liu, Shixia
• Yang, Zhaocong

Titel

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

Ist Teil von

• 2023 IEEE Visualization and Visual Analytics (VIS), 2023, p.201-205

Ort / Verlag

IEEE

Erscheinungsjahr

2023

Quelle

IEEE Xplore

Beschreibungen/Notizen

• 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. TimePool has been evaluated through example scenarios, a formal user study, and interviews with domain experts.