A collection of various visualizations methods 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 the combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). The visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables, the Shepard density plot as well as the Bland-Altman plot are presented here. With regards to classified high-dimensional data several visualizations are presented, e.g. the heat map and silhouette plot. For a classification of countries, a map of the world or Germany can be visualized. More detailed explanations can be found in the book of Thrun, M.C.:"Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018)
Version 1.1.4 (CRAN, 2018-10-21) o DualAxisLineChart enables to visualize to lines in one plot overlaying them using ploty (e.g. two time series with two ranges of values) o Bugfix: PDEscatter now removes non-numeric values with na.rm=TRUE before xlim and ylim are defined o ProductRatioPlot: The plot is useful in the case where there are many instances of very small values, but a small number of very large ones o CrossTablePlot: Presents a heatmap with values and a cross table of given Data matrix of two features and a bin width or percentualized values o Update: plot3D function and documentation improved.
Version 1.1.3 (GitHub, 2018-07-07) o Improvement: MD-plot layout changes and plotting paramater added o InspectCorrelation now visualizes the density and calcluates the spearman correlation index as a shortcut to PDEscatter o Minor bugifx: MD-plot now uses ggExtra::rotateTextX() for better xaxis alignment of text
Version 1.1.2 (GitHub, 2018-07-02) o Bugfix: InspectDistances methods argument now passed on to parallelDist::parDist
Version 1.1.1 (CRAN 2018-06-30) o Improved visualization of MD-plot
Version 1.1.0 (GitHub) o Vignette generated o Bugfix: authors stated in Description regarding functions which were used in other dbt packages instead of this package.
Version 1.0.9 (GitHub) o ClassViolinPlot build on top of stat_pde_density for Data with Clustering o Bugfix in stat_pde_density for special case of one value o parallelDist integrated for faster distance computations
Version 1.0.8 (GitHub) o Bugfix in stat_pde_density for special case of one value o Minor bugfix in PDEscatter
Version 1.0.7 (GitHub) o MD-plot: stat_pde_density added in order to integrate concept with ggplot2
Version 1.0.1-1.0.6 (GitHub) o ClassBoxPlot function added for Data with Clustering o ClassPDEplot function added for Data with Clustering o ClassPDEplotMaxLikeli function added for Data with Clustering o Minor bugfix in InspectVariable function o Bugfix in internpiechart
Version 1.0.0 (CRAN, 2018-05-06) o Complete package generated