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

CoRR(2023)

引用 0|浏览16
暂无评分
摘要
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.
更多
查看译文
关键词
time series data,interaction,dynamic queries
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要