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A multidimensional data visualization method based on parallel coordinates and enhanced ring

机译:基于平行坐标和增强环的多维数据可视化方法

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When Analyzing multidimensional, quantitative data set, statistics of value distribution in each dimension, and comparison of two or more dimensions are common tasks in many domains, such as students' scores, college admissions and stocks. In this paper, we present a multidimensional data visualization method based on parallel coordinates and enhanced ring (PCER). The interactive scheme allows users to do a preliminary statistics on data to get an overview of data's distribution. Users can change the display proportion of one single dimension or all dimensions according to the preliminary statistical results and relative statistical requirement. The enhanced ring will show the distribution of the clutter area in parallel coordinates according to statistical results to help users getting more detailed information about data distribution and relationships among data. Data are filtered by the interaction between parallel coordinates and enhanced ring according to user's statistical requirement to reduce the size of dataset and optimize the visualization effect. The experiment on students' scores shows that PCER is efficient in presenting and quantizing the distribution of students' scores.
机译:在分析多维定量数据集,各个维度上的价值分布的统计信息以及两个或多个维度的比较时,这是许多领域的常见任务,例如学生的成绩,大学录取和股票。在本文中,我们提出了一种基于平行坐标和增强环(PCER)的多维数据可视化方法。交互式方案允许用户对数据进行初步统计,以获取数据分布的概述。用户可以根据初步统计结果和相对统计要求,改变一个或多个维度的显示比例。增强的环将根据统计结果在平行坐标中显示杂波区域的分布,以帮助用户获得有关数据分布和数据之间关系的更详细的信息。根据用户的统计要求,通过平行坐标和增强环之间的相互作用对数据进行过滤,以减小数据集的大小并优化可视化效果。对学生分数进行的实验表明,PCER在呈现和量化学生分数分布方面非常有效。

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