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

TL;DR

TimePool is a visualization tool designed to help analysts answer specific "which and when" questions about univariate time series data through interactive queries and visual exploration.

Contribution

It introduces a novel visualization prototype that enables constructing and exploring "which and when" queries on univariate time series datasets.

Findings

Supports interactive exploration of time series data

Helps identify top entities and their time periods

Facilitates comparison of different entities over time

Abstract

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.