Exploratory and Descriptive Data Visualization and
Exploratory Graphics include Spinplots, Scatterplots,
Scatterplot Matrices, Histograms, Boxplots, Parallel
Coordinate Plots, Mosaic Plots, Quantile Plots,
Normal Probability Plots, Quantile-Quantile Plots,
Diamond Plots, Dotplots, Biplots, and Guided Tour
support brushing and labeling, and are dynamically
and Contours can be added to several plots.
Statistics including Means, Standard Deviations,
Variances, Ranges, Quartiles, Medians, Correlations,
Covariances, Distances, Frequency Tables
(groups of dynamically interacting plot-windows)
have been specially designed for several different
kinds of data.
Regression - Multivariate Multiple Regression
Analysis. The spreadplot consists of a biplot, spinplot,
histogram and scatterplot-matrix.
Component Analysis of correlations or covariances.
The model visualization is a spreadplot composed of
a biplot, spin-plot, scree-plot and scatterplot-matrix.
Scaling of one or more symmetric or asymmetric
matrices. The model visualization is a spreadplot
composed of a scatterplot, spin-plot, scree-plot and
scatterplot-matrix. The spreadplot supports graphical
re-estimation of model parameters.
Analysis of two-way contingency tables. The model
visualization is a spreadplot composed of a biplot,
spinplot, residuals plot and scree-plot. The spreadplot
supports graphical re-estimation of model parameters.