Chen, YangYang, JingZhao, YeAnna Puig Puig and Tobias Isenberg2017-06-122017-06-122017978-3-03868-044-4https://doi.org/10.2312/eurp.20171167https://diglib.eg.org:443/handle/10.2312/eurp20171167We present a lens-based approach to explore animated data visualizations that involve time-series. The core of the approach lies in a novel combination of Lagrangian and Eulerian lenses, which allows us to leverage their complementary advantages to analyze data elements in complex spatial-temporal space. Film art techniques are employed to advance the way shifting the elements across different time and spaces. We illustrate the approach using animated bubble charts.CCS ConceptsHumancentered computing>Information visualizationUser interface design10.2312/eurp.2017116753-55