Other packages > Find by keyword >

DataVisualizations  

Visualizations of High-Dimensional Data
View on CRAN: Click here


Download and install DataVisualizations package within the R console
Install from CRAN:
install.packages("DataVisualizations")

Install from Github:
library("remotes")
install_github("cran/DataVisualizations")

Install by package version:
library("remotes")
install_version("DataVisualizations", "1.4.0")



Attach the package and use:
library("DataVisualizations")
Maintained by
Michael Thrun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-30
Latest Update: 2025-01-26
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, . 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) .
How to cite:
Michael Thrun (2018). DataVisualizations: Visualizations of High-Dimensional Data. R package version 1.4.0, https://cran.r-project.org/web/packages/DataVisualizations. Accessed 20 Sep. 2026.
Previous versions and publish date:
0.9.2 (2018-01-30 14:15), 1.0.0 (2018-05-06 17:34), 1.1.1 (2018-06-30 18:09), 1.1.4 (2018-10-22 07:40), 1.1.5 (2019-02-02 14:13), 1.1.6 (2019-03-08 13:43), 1.1.8 (2019-08-20 13:40), 1.1.9 (2019-11-10 16:40), 1.1.10 (2020-02-02 18:10), 1.1.11 (2020-02-13 18:50), 1.1.12 (2020-05-17 09:40), 1.2.0 (2020-08-04 18:34), 1.2.1 (2020-10-28 10:10), 1.2.2 (2021-01-12 18:10), 1.2.3 (2022-05-21 12:50), 1.3.0 (2023-06-06 23:20), 1.3.1 (2023-07-18 21:40), 1.3.2 (2023-10-10 10:10), 1.3.3 (2025-01-26 16:10), 1.3.5 (2025-08-25 01:40), (2026-07-09 08:02)
Other packages that cited DataVisualizations R package
View DataVisualizations citation profile
Other R packages that DataVisualizations depends, imports, suggests or enhances
Complete documentation for DataVisualizations
Functions, R codes and Examples using the DataVisualizations R package
Some associated functions: ABCbarplot . AccountingInformation_PrimeStandard_Q3_2019 . BimodalityAmplitude . ChoroplethPostalCodesAndAGS_Germany . Choroplethmap . ClassBoxPlot . ClassMDplot . ClassPDEplot . ClassPDEplotMaxLikeli . Classplot . CombineCols . Crosstable . DataVisualizations-package . DefaultColorSequence . DensityScatter . DualaxisClassplot . DualaxisLinechart . Fanplot . FundamentalData_Q1_2018 . GoogleMapsCoordinates . Heatmap . HeatmapColors . ITS . InspectBoxplots . InspectCorrelation . InspectDistances . InspectScatterplots . InspectStandardization . InspectVariable . JitterUniqueValues . Lsun3D . MAplot . MDplot . MDplot4multiplevectors . MTY . OptimalNoBins . PDEplot . PDEscatter . ParetoDensityEstimation . ParetoRadius . Piechart . Pixelmatrix . Plot3D . PlotMissingvalues . PlotProductratio . PmatrixColormap . QQplot . ShepardDensityScatter . Sheparddiagram . SignedLog . Silhouetteplot . Slopechart . SmoothedDensitiesXY . StatPDEdensity . Worldmap . categoricalVariable . inPSphere2D . stat_pde_density . world_country_polygons . zplot . 
Some associated R codes: ABCbarplot.R . BimodalityAmplitude.R . Choroplethmap.R . ClassBoxPlot.R . ClassMDplot.R . ClassPDEplot.R . ClassPDEplotMaxLikeli.R . Classplot.R . CombineCols.R . Crosstable.R . DensityScatter.R . DrawWorldWithCls.R . DualaxisClassplot.R . DualaxisLinechart.R . Fanplot.R . GoogleMapsCoordinates.R . Heatmap.R . InspectBoxplots.R . InspectCorrelation.R . InspectDistances.R . InspectScatterplots.R . InspectStandardization.R . InspectVariable.R . JitterUniqueValues.R . MAplot.R . MDplot.R . MDplot4multiplevectors.R . OptimalNoBins.R . PDEplot.R . PDEscatter.R . ParetoDensityEstimation.R . ParetoRadius.R . Piechart.R . Pixelmatrix.R . Plot3D.R . PlotMissingvalues.R . PlotProductratio.R . QQplot.R . RcppExports.R . ShepardDensityScatter.R . Sheparddiagram.R . SignedLog.R . Silhouetteplot.R . Slopechart.R . SmoothedDensitiesXY.R . Worldmap.R . bimodal.R . checkCls.R . checkFeature.R . inPSphere2D.R . internpiechart.R . smooth1D.R . stat_pde_density.R . zplot.R .  Full DataVisualizations package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
MatchThem  
Matching and Weighting Multiply Imputed Datasets
Provides essential tools for the pre-processing techniques of matching and weighting multiply impute ...
Download / Learn more Package Citations See dependency  
relimp  
Relative Contribution of Effects in a Regression Model
Functions to facilitate inference on the relative importance of predictors in a linear or generalize ...
Download / Learn more Package Citations See dependency  
WASP  
Wavelet System Prediction
The wavelet-based variance transformation method is used for system modelling and prediction. It ref ...
Download / Learn more Package Citations See dependency  
migration.indices  
Migration Indices
Calculate various indices, like Crude Migration Rate, different Gini indices or the Coefficient of ...
Download / Learn more Package Citations See dependency  
RWmisc  
Miscellaneous Spatial Functions
Contains convenience functions for working with spatial data across multiple UTM zones, raster-vect ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA