Swammerdam Institute for Life Sciences, Section of Molecular Cytology, van Leeuwenhoek Centre for Advanced Microscopy, University of Amsterdam, NL-1090 GE Amsterdam, The Netherlands.
Mol Biol Cell. 2021 Mar 15;32(6):470-474. doi: 10.1091/mbc.E20-09-0583. Epub 2021 Jan 21.
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 are 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 , 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 raincloud plots and estimation statistics. The free, open source webtool can be accessed at: https://huygens.science.uva.nl/SuperPlotsOfData/.
图表是使数据对人类具有可理解性和可消化性的图形工具。但是，通过仅绘制统计摘要来简化数据与结果的透明沟通相冲突。因此，通常鼓励绘制所有数据，这可以通过使用点图来实现离散条件。然而，点图往往无法传达数据是来自不同的技术还是生物学重复。超级图由 Lord 和同事提出（Lord，2020），以改善实验设计和结果的沟通。为了简化离散条件的数据的绘制作为超级图，生成了 SuperPlotsOfData 网络应用程序。该工具提供了对最先进的数据可视化的简单和开放访问。此外，它还结合了数据可视化和分析的最新创新，包括雨云图和估计统计。免费的开源网络工具可在以下网址访问：https://huygens.science.uva.nl/SuperPlotsOfData/。
