Burmeister, JanBernard, JürgenKohlhammer, JörnVrotsou, Katerina and Bernard, Jürgen2021-06-122021-06-122021978-3-03868-150-2https://doi.org/10.2312/eurova.20211098https://diglib.eg.org:443/handle/10.2312/eurova20211098While there is a wide variety of visualizations and dashboards to help understand the data of the Covid-19 pandemic, hardly any of these support important analytical tasks, especially of temporal attributes. In this paper, we introduce a general concept for the analysis of temporal and multimodal data and the system LFPeers that applies this concept to the analysis of countries in a Covid-19 dataset. Our concept divides the analysis in two phases: a search phase to find the most similar objects to a target object before a time point t0, and an exploration phase to analyze this subset of objects after t0. LFPeers targets epidemiologists and the public who want to learn from the Covid-19 pandemic and distinguish successful and ineffective measures.10.2312/eurova.2021109849-53