A SOFTWARE FOR VISUALIZATION OF MULTIVARIATE DATA USING CONSTELLATION GRAPHS

Graph representation makes it possible to intuitively grasp complex data structures and detailed features, and to easily interpret data features that cannot be grasped by numerical values alone. In this paper, we focused on the constellation graph and the expanded constellation graph that applies to...

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Bibliographic Details
Published inBulletin of the Computational Statistics of Japan Vol. 34; no. 2; pp. 99 - 111
Main Authors Fujiwara, Mika, Kajinishi, Shoji, Kurihara, Koji
Format Journal Article
LanguageJapanese
Published Japanese Society of Computational Statistics 2021
Subjects
Cluster
Expanded constellation graph
shiny
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Summary:Graph representation makes it possible to intuitively grasp complex data structures and detailed features, and to easily interpret data features that cannot be grasped by numerical values alone. In this paper, we focused on the constellation graph and the expanded constellation graph that applies to the constellation graph. The constellation graph can grasp the mean value and the degree of variation at a glance, and the expanded constellation graph can easily grasp the characteristics of variables in each individual. In order to build an environment where constellation graphs can be easily executed on a web basis, we developed software using an R shiny package, and introduced how to use it with application examples. By using shiny, it is possible to develop interactive web applications. So, we were able to build an environment in which constellation graphs can be flexibly used for various data while performing interactive operations.
ISSN:0914-8930
2189-9789
DOI:10.20551/jscswabun.34.2_99