TY - JOUR AU - Wilhelm, Adalbert AU - VanderPlas, Susan PY - 2022/11/28 Y2 - 2024/03/29 TI - Visual Narratives of the Covid-19 pandemic JF - Journal of Data Science, Statistics, and Visualisation JA - J DAT SCI STAT VIS VL - 2 IS - 7 SE - Modeling and visualization of covid-19 data DO - 10.52933/jdssv.v2i7.64 UR - https://jdssv.org/index.php/jdssv/article/view/64 SP - 84-113 AB - <div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p>Covid-19 has sparked a worldwide interest in understanding the dynamic evo- lution of a pandemic and tracking the effectiveness of preventive measures and rules. For this reason, numerous media and research groups have produced com- prehensive data visualisations to illustrate the relevant trends and figures. In this paper, we will look at a selection of Covid 19 data visualisations to evaluate and discuss the currently established visualisation tools in terms of their ability to provide a communication channel both within the data science team and between data analysts, domain experts and a general interested audience. Although there is no set catalogue of evaluation criteria for data visualisations, we will try to give an overview of the different core aspects of visualisation evaluation and their competing principles.</p></div></div></div></div> ER -