With the advances in science and technology, a rapid growth of multidimensional (multivariate) datasets is observed in different fields. Projection and visualization of such data to a lower dimensional space without losing the data structure is a challenging task. We propose an interactive visual analytics tool that is applied for the combined analysis of multidimensional numerical and categorical data. The tool helps the analyst not only to find the clusters of similar objects but also to identify the important features specific to these clusters. The efficacy of the various functionalities of the tool is examined analyzing epidemiological data to understand the pathogenesis of obstructive sleep apnea. Our approach helps the user to visually analyze the data and get a better understanding of the data. The tool would be a valuable resource for analysts working on numerical and categorical data.

中文翻译：

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用于多维定量和分类数据分析的交互式可视化分析工具

随着科学技术的进步，在不同领域观察到多维（多元）数据集的快速增长。在不丢失数据结构的情况下将此类数据投影和可视化到较低维空间是一项具有挑战性的任务。我们提出了一种交互式可视化分析工具，适用于多维数值和分类数据的组合分析。该工具不仅可以帮助分析人员找到相似对象的集群，还可以识别这些集群特有的重要特征。通过分析流行病学数据来检查该工具各种功能的功效，以了解阻塞性睡眠呼吸暂停的发病机制。我们的方法可帮助用户直观地分析数据并更好地理解数据。