披露,不要隐:转变数据可视化以提高透明度
Tracey L Weissgerber1,2, Stacey J Winham3, Ethan P Heinzen3
1Division of Nephrology and Hypertension (T.L.W., O.G.V., V.D.G., N.M.M.), Mayo Clinic, Rochester, MN.
Circulation
|October 29, 2019
概括
尽管许多期刊不鼓励使用条形图,但近一半的研究仍在使用条形图. 这本指南提供了更好的数据可视化技术,
科学领域:
- 医学可视化
- 科学交流
- 数据呈现方式
背景情况:
- 由于可视化问题,期刊越来越多地推不使用条形图.
- 现有政策对有效的数据显示替代方案提供了有限的指导.
- 在科学文献中仍然存在低于最佳的数据可视化实践.
研究的目的:
- 在外周血管疾病杂志上系统审查数据可视化实践.
- 对连续数据的条形图的使用率进行评估.
- 为选择和创建有效的数据图形提供指导.
主要方法:
- 在顶级的外周血管疾病期刊中的数据的系统审查.
- 分析用于呈现连续数据的图形类型.
- 识别常见的数据可视化问题.
主要成果:
- 47.7%的论文使用条形图来呈现连续的数据.
- 评估了低于最佳的数据可视化方法的普遍性.
- 除了使用条形图之外,还发现了一些常见的问题.
结论:
- 需要改善科学出版物中的数据可视化指导.
- 应推广有效的替代条形图,如点图,盒子图和小提琴图.
- 作者需要资源和策略来创造更具信息性和准确的科学数据.
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