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Datavzrd：无需编程和维护即可快速实现表格数据的交互式可视化与通信。

Datavzrd: Rapid programming- and maintenance-free interactive visualization and communication of tabular data.

作者信息

Wiegand Felix, Lähnemann David, Mölder Felix, Uzuner Hamdiye, Prinz Adrian, Schramm Alexander, Köster Johannes

机构信息

Bioinformatics and Computational Oncology, Institute for AI in Medicine (IKIM), University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

German Cancer Consortium (DKTK), Partner Site Essen-Düsseldorf, A Partnership Between DKFZ and University Hospital Essen, Essen, Germany.

出版信息

PLoS One. 2025 Jul 22;20(7):e0323079. doi: 10.1371/journal.pone.0323079. eCollection 2025.

DOI:10.1371/journal.pone.0323079
PMID:40694543
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12282858/
Abstract

Tabular data, often scattered across multiple tables, is the primary output of data analyses in virtually all scientific fields. Exchange and communication of tabular data is therefore a central challenge. We present Datavzrd, a tool for creating portable, visually rich, interactive reports from tabular data in any kind of scientific discipline. Datavzrd unifies the strengths of currently common generic approaches for interactive visualization like R Shiny with the portability, ease of use and sustainability of plain spreadsheets. The generated reports do not require the maintenance of a web server nor the installation of specialized software for viewing and can simply be attached to emails, shared via cloud services, or serve as manuscript supplements. They can be specified without requiring imperative programming, thereby enabling rapid development and offering accessibility for non-computational scientists, unlocking the look and feel of dedicated manually crafted web applications without the maintenance and development burden. Datavzrd reports scale from small tables to thousands or millions of rows and offer the ability to link multiple related tables, allowing to jump between corresponding rows or hierarchically explore growing levels of detail.

摘要

表格数据通常分散在多个表格中，几乎是所有科学领域数据分析的主要输出。因此，表格数据的交换和交流是一个核心挑战。我们展示了Datavzrd，这是一种用于从任何科学学科的表格数据创建便携式、视觉丰富、交互式报告的工具。Datavzrd将当前常见的交互式可视化通用方法（如R Shiny）的优势与普通电子表格的可移植性、易用性和可持续性结合起来。生成的报告不需要维护Web服务器，也不需要安装专门的查看软件，可以简单地附加到电子邮件中，通过云服务共享，或用作稿件补充。它们可以在不需要命令式编程的情况下进行指定，从而实现快速开发，并为非计算科学家提供可访问性，在没有维护和开发负担的情况下解锁专用手工制作的Web应用程序的外观和感觉。Datavzrd报告从小型表格扩展到数千行或数百万行，并提供链接多个相关表格的能力，允许在相应行之间跳转或分层探索不断增加的详细级别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ac/12282858/ad1d4c31c6d1/pone.0323079.g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ac/12282858/ad1d4c31c6d1/pone.0323079.g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4ac/12282858/c80b8c7a9e35/pone.0323079.g007.jpg
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