Plots and charts are graphical tools that make data intelligible and digestible by humans. But the oversimplification of data by only plotting the statistical summaries conflicts with the transparent communication of results. Therefore, plotting of all data is generally encouraged and this can be achieved by using a dotplot for discrete conditions. Dotplots, however, often fail to communicate whether the data are from different technical or biological replicates. The superplot has been proposed by Lord and colleagues (Lord et al., 2020) to improve the communication of experimental design and results. To simplify the plotting of data from discrete conditions as a superplot, the SuperPlotsOfData web app was generated. The tool offers easy and open access to state-of-the-art data visualization. In addition, it incorporates recent innovations in data visualization and analysis, including raindcloud plots and estimation statistics. The free, open-source webtool can be accessed at: https://huygens.science.uva.nl/SuperPlotsOfData/

绘图和图表是图形工具，可让人类理解和消化数据。但是，仅通过绘制统计摘要来过度简化数据与结果的透明交流相冲突。因此，通常鼓励绘制所有数据，这可以通过对离散条件使用点图来实现。然而，点图通常无法传达数据是否来自不同的技术或生物学复制品。Lord 及其同事 (Lord et al., 2020) 提出了超级图，以改善实验设计和结果的交流。为了简化将离散条件中的数据绘制为超级图，生成了 SuperPlotsOfData Web 应用程序。该工具提供了对最先进数据可视化的轻松开放访问。此外，它结合了数据可视化和分析方面的最新创新，包括雨云图和估计统计。可以通过以下网址访问免费的开源网络工具：https://huygens.science.uva.nl/SuperPlotsOfData/