Visualization for Interval Data Article Swipe
Muzi Zhang
,
Dennis K. J. Lin
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.6084/m9.figshare.19617396
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.6084/m9.figshare.19617396
Interval data are widely used in many fields, notably in economics, industry, and health areas. Analogous to the scatterplot for single-value data, the rectangle plot and cross plot are the conventional visualization methods for the relationship between two variables in interval forms. These methods do not provide much information to assess complicated relationships, however. In this article, we propose two visualization methods: Segment and Dandelion plots. They offer much more information than the existing visualization methods and allow us to have a much better understanding of the relationship between two variables in interval forms. A general guide for reading these plots is provided. Relevant theoretical support is developed. Both empirical and real data examples are provided to demonstrate the advantages of the proposed visualization methods. Supplementary materials for this article are available online.
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https://doi.org/10.6084/m9.figshare.19617396Digital Object Identifier
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Visualization for Interval DataWork title
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datasetOpenAlex work type
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2022Year of publication
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2022-01-01Full publication date if available
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Muzi Zhang, Dennis K. J. LinList of authors in order
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https://doi.org/10.6084/m9.figshare.19617396Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.6084/m9.figshare.19617396Direct OA link when available
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Visualization, Interval (graph theory), Computer science, Data visualization, Data mining, Mathematics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
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