Thinking Outside the Box: Developing Dynamic Data Visualizations for Psychology with Shiny
Thinking Outside the Box: Developing Dynamic Data Visualizations for Psychology with Shiny
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DOI：
10.3389/fpsyg.2015.01782
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发表时间：
2015-12-01
影响因子：
3.8
通讯作者：
Merdian, Hannah L.
中科院分区：
文献类型：
--
作者：
Ellis, David A.;Merdian, Hannah L.
对人类感知的研究帮助心理学家通过将数字转换为图形插图来有效地传达数据丰富的故事，而数据可视化仍然是心理学发现、理解并向他人展示结果的强大手段。然而，尽管计算能力、万维网和更加复杂的数据集呈指数级增长，心理学家却常常将自己局限于静态可视化。虽然这些通常已经足够，但它们在专业心理学中的应用仍然有限。这是令人惊讶的，因为现在可以基于简单或复杂的心理数据集构建动态表示。以前，HTML、CSS 或 Java 的知识是必不可少的，但在这里，我们使用在 R 统计平台下运行的简单 Web 应用程序框架来开发几个交互式可视化：Shiny。 Shiny 可以帮助研究人员快速生成交互式数据可视化，以补充和支持当前和未来的出版物。这对研究人员、更广泛的学术界、学生、从业者和感兴趣的公众有明显的好处。
The study of human perception has helped psychologists effectively communicate data rich stories by converting numbers into graphical illustrations and data visualization remains a powerful means for psychology to discover, understand, and present results to others. However, despite an exponential rise in computing power, the World Wide Web, and ever more complex data sets, psychologists often limit themselves to static visualizations. While these are often adequate, their application across professional psychology remains limited. This is surprising as it is now possible to build dynamic representations based around simple or complex psychological data sets. Previously, knowledge of HTML, CSS, or Java was essential, but here we develop several interactive visualizations using a simple web application framework that runs under the R statistical platform: Shiny. Shiny can help researchers quickly produce interactive data visualizations that will supplement and support current and future publications. This has clear benefits for researchers, the wider academic community, students, practitioners, and interested members of the public.