%0 Journal Article
%A CHEN Hongqian1
%A 2
%A CHENG Zhongjuan1
%A 2
%A YANG Qianyu1
%A 2
%A LI Hui3
%T Parallel Coordinate Improvement Method for Category Data Analysis
%D 2019
%R 10.3778/j.issn.1002-8331.1801-0191
%J Computer Engineering and Applications
%P 175-181
%V 55
%N 8
%X Aiming at the problem of the overlap between the category data and the traditional parallel coordinate system, a parallel coordinate method of category statistics and data accumulated offset mapping is proposed. The method first counts the frequency of each category data in the multidimensional data, uses the histogram to show the distribution of the detection results and the number of records, and combines the histogram with the parallel coordinates to propose improved parallel coordinates. And then it proposes a data accumulation formula offset algorithm, the data mapped at one point is evenly distributed in a certain area on the coordinate axis, and the range of the area is determined according to the number of data records. Finally, a visual analysis system is designed and implemented, filtering of the data set, cross analysis, analysis of inter-category data and analysis of inter-dimensional data can be accomplished by improving parallel coordinates. It comparatively analyzes every two dimensions by the linkage view and chord diagram, and shows the number of records of each dimension in the data set through the word cloud. The experimental results of case datasets show that the proposed method can simultaneously display the contrasts, sorts, and the analysis of the selected datasets in different dimensions in parallel coordinates, and can visually display the association between the categories of data types.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1801-0191