ABSTRACT We introduce methods for visualization of data structured along trees, especially hierarchically structured collections of time series. To this end, we identify questions that often emerge when working with hierarchical data and provide an R package to simplify their investigation. Our key contribution is the adaptation of the visualization principles of focus-plus-context and linking to the study of tree-structured data. Our motivating application is to the analysis of bacterial time series, where an evolutionary tree relating bacteria is available a priori. However, we have identified common problem types where, if a tree is not directly available, it can be constructed from data and then studied using our techniques. We perform detailed case studies to describe the alternative use cases, interpretations, and utility of the proposed visualization methods.

中文翻译：

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分层结构数据的交互式可视化

摘要 我们介绍了可视化沿树结构的数据的方法，尤其是时间序列的分层结构集合。为此，我们确定了在处理分层数据时经常出现的问题，并提供了一个 R 包来简化他们的调查。我们的主要贡献是适应了焦点加上下文的可视化原则，并与树结构数据的研究相联系。我们的激励应用是分析细菌时间序列，其中可以先验地获得与细菌相关的进化树。然而，我们已经确定了常见的问题类型，如果一棵树不能直接使用，它可以从数据中构建，然后使用我们的技术进行研究。我们执行详细的案例研究来描述替代用例、解释、