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DataVisualizations

Visualizations of High-Dimensional Data

v1.4.0 · Oct 31, 2025 · GPL-3

Description

Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.

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installed size is  6.6Mb
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    doc    3.3Mb
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for GNU extensions in Makefiles

GNU make is a SystemRequirements.
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  6.6Mb
  sub-directories of 1Mb or more:
    doc    3.3Mb
    libs   1.4Mb
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for GNU extensions in Makefiles

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installed size is  6.1Mb
  sub-directories of 1Mb or more:
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NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is  6.6Mb
  sub-directories of 1Mb or more:
    doc    3.3Mb
    libs   1.4Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  6.6Mb
  sub-directories of 1Mb or more:
    doc    3.3Mb
    libs   1.4Mb
NOTE r-oldrel-windows-x86_64

installed package size

installed size is  6.1Mb
  sub-directories of 1Mb or more:
    doc   3.3Mb

Reverse Dependencies (15)

Dependency Network

Dependencies Reverse dependencies Rcpp RcppParallel ggplot2 sp pracma reshape2 AdaptGauss BIDistances FCPS Umatrix opGMMassessment opImputation pguIMP DRquality DatabionicSwarm GeneralizedUmatrix GeneralizedUmatrixGPU PDEnaiveBayes ProjectionBasedClustering ScatterDensity memshare DataVisualizations

Version History

new 1.4.0 Mar 10, 2026
updated 1.4.0 ← 1.3.5 diff Oct 30, 2025
updated 1.3.5 ← 1.3.3 diff Aug 24, 2025
updated 1.3.3 ← 1.3.2 diff Jan 25, 2025
updated 1.3.2 ← 1.3.1 diff Oct 9, 2023
updated 1.3.1 ← 1.3.0 diff Jul 17, 2023
updated 1.3.0 ← 1.2.3 diff Jun 5, 2023
updated 1.2.3 ← 1.2.2 diff May 20, 2022
updated 1.2.2 ← 1.2.1 diff Jan 11, 2021
updated 1.2.1 ← 1.2.0 diff Oct 27, 2020
updated 1.2.0 ← 1.1.12 diff Aug 3, 2020
updated 1.1.12 ← 1.1.11 diff May 16, 2020
updated 1.1.11 ← 1.1.10 diff Feb 12, 2020
updated 1.1.10 ← 1.1.9 diff Feb 1, 2020
updated 1.1.9 ← 1.1.8 diff Nov 9, 2019
updated 1.1.8 ← 1.1.6 diff Aug 19, 2019
updated 1.1.6 ← 1.1.5 diff Mar 7, 2019
updated 1.1.5 ← 1.1.4 diff Feb 1, 2019
updated 1.1.4 ← 1.1.1 diff Oct 21, 2018
updated 1.1.1 ← 1.0.0 diff Jun 29, 2018