vdmR: Generating Web-Based Visual Data Mining Tools with R | Zendy

Tomokazu Fujino | Zendy

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vdmR: Generating Web-Based Visual Data Mining Tools with R

Author(s) -

Tomokazu Fujino

Publication year - 2017

Publication title -

journal of statistical software

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.636

H-Index - 145

ISSN - 1548-7660

DOI - 10.18637/jss.v082.i06

Subject(s) - scatter plot , r package , graphics , computer science , plot (graphics) , histogram , statistical graphics , parallel coordinates , identification (biology) , data mining , row , computer graphics (images) , visualization , data visualization , artificial intelligence , database , statistics , mathematics , machine learning , computational science , image (mathematics) , botany , biology

The vdmR package generates web-based visual data mining tools by adding interactive functions to ggplot2 graphics. Brushing and linking between multiple plots is one of the main features of this package. Currently, scatter plots, histograms, parallel coordinate plots, and choropleth maps are supported in the vdmR package. In addition, identification on a plot is supported by linking the plot and the data table.

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