Statistical graphics, and data visualization, play an essential but under-utilized, role for data analysis in animal science, and also to visually illustrate the concepts, ideas, or outputs of research and in curricula. The recent rise in web technologies and ubiquitous availability of web browsers enables easier sharing of interactive and dynamic graphics. Interactivity and dynamic feedback enhance human–computer interaction and data exploration. Web applications such as decision support systems coupled with multimedia tools synergize with interactive and dynamic graphics. However, the importance of graphics for effectively communicating data, understanding data uncertainty, and the state of the field of interactive and dynamic graphics is underappreciated in animal science. To address this gap, we describe the current state of graphical methodology and technology that might be more broadly adopted. This includes an explanation of a conceptual framework for effective graphics construction. The ideas and technology are illustrated using publicly available animal datasets. We foresee that many new types of big and complex data being generated in precision livestock farming create exciting opportunities for applying interactive and dynamic graphics to improve data analysis and make data-supported decisions.

中文翻译：

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ASAS-NANP 研讨会：数据丰富的动物科学时代交互式和动态图形的前景1

统计图形和数据可视化在动物科学中的数据分析中发挥着重要但未得到充分利用的作用，并且还可以直观地说明研究和课程中的概念、想法或成果。最近网络技术的兴起和网络浏览器的普及使得交互式和动态图形的共享变得更加容易。交互性和动态反馈增强了人机交互和数据探索。诸如决策支持系统之类的网络应用程序与多媒体工具相结合，与交互式和动态图形相结合。然而，图形对于有效传达数据、理解数据不确定性以及交互式和动态图形领域的现状的重要性在动物科学中并未得到充分认识。为了解决这一差距，我们描述了可能被更广泛采用的图形方法和技术的当前状态。这包括对有效图形构建的概念框架的解释。这些想法和技术是使用公开的动物数据集来说明的。我们预见，精准畜牧业中产生的许多新型大而复杂的数据为应用交互式和动态图形来改进数据分析和做出数据支持的决策创造了令人兴奋的机会。