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.

翻译：摘要：在探索时间序列数据集时，分析人员常提出涉及“哪些与何时”的问题。例如，面对跨越百年的世界预期寿命数据，他们可能询问预期寿命排名前十的国家及其达到该地位的时期，或哪些国家的预期寿命曾超过爱尔兰以及何时。本文提出TimePool——一种新型可视化原型，旨在满足单变量时间序列分析中的这一需求。它允许用户构建交互式的“哪些与何时”查询，并通过可视化方式探索结果以获取洞见。