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How can we make better graphs? An initiative to increase the graphical expertise and productivity of quantitative scientists

机译:我们如何制作更好的图表? 提高定量科学家的图形专业知识和生产力的举措

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摘要

Graphics are at the core of exploring and understanding data, communicating results and conclusions, and supporting decision-making. Increasing our graphical expertise can significantly strengthen our impact as professional statisticians and quantitative scientists. In this article, we present a concerted effort to improve the way we create graphics at Novartis. We provide our vision and guiding principles, before describing seven work packages in more detail. The actions, principles, and experiences laid out in this paper are applicable generally, also beyond drug development, which is our field of work. The purpose of this article is to share our experiences and help foster the use of good graphs in pharmaceutical statistics and beyond. A Graphics Principles "Cheat Sheet" is available online at https://graphicsprinciples.github.io/. .
机译:图形是探索和理解数据,传达结果和结论以及支持决策的核心。 增加我们的图形专业知识可以大大加强我们作为专业统计学家和量化科学家的影响。 在本文中,我们提出了一个共同努力,以改善我们在诺华创建图形的方式。 我们提供了我们的愿景和指导原则,然后更详细地描述了七个工作包。 本文中规定的行动,原则和经验通常适用于毒品开发,这是我们的工作领域。 本文的目的是分享我们的经验,并帮助培养在制药统计数据中使用良好的图形。 图形原则“备忘单”可在https://graphicsprinciples.github.io/上线提供。 。

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