Wand Handan, Iversen Jenny, Law Matthew, Maher Lisa
The Kirby Institute, University of New South Wales, Sydney, Australia.
PLoS One. 2014 Jan 13;9(1):e85047. doi: 10.1371/journal.pone.0085047. eCollection 2014.
Graphical representation of data is one of the most easily comprehended forms of explanation. The current study describes a simple visualization tool which may allow greater understanding of medical and epidemiological data.
We propose a simple use of an existing tool for visualization of data, known as a ''quilt plot'' (also defined as "heat maps"), that provides an alternative to presenting large volumes of data as frequency tables [corrected]. Data from the Australian Needle and Syringe Program survey are used to illustrate "quilt plots".
Visualization of large volumes of data using "quilt plots" enhances interpretation of medical and epidemiological data. Such intuitive presentations are particularly useful for the rapid assessment of problems in the data which cannot be readily identified by manual review. We recommend that, where possible, "quilt plots" be used along with traditional quantitative assessments of the data as an explanatory data analysis tool.
数据的图形化表示是最易于理解的解释形式之一。本研究描述了一种简单的可视化工具,它可能有助于更好地理解医学和流行病学数据。
我们建议简单使用一种现有的数据可视化工具,即“拼布图”(也定义为“热图”),它为将大量数据呈现为频率表提供了一种替代方法[已修正]。来自澳大利亚针头和注射器项目调查的数据用于说明“拼布图”。
使用“拼布图”对大量数据进行可视化可增强对医学和流行病学数据的解读。这种直观的呈现方式对于快速评估数据中通过人工审查不易发现的问题特别有用。我们建议,在可能的情况下,将“拼布图”与对数据的传统定量评估一起用作解释性数据分析工具。