Analyses
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Exploratory and Descriptive Data Visualization and
Analysis
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Dynamic
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
Plots.
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Plots
support brushing and labeling, and are dynamically
linked.
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Smoothers
and Contours can be added to several plots.
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Descriptive
Statistics including Means, Standard Deviations,
Variances, Ranges, Quartiles, Medians, Correlations,
Covariances, Distances, Frequency Tables
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SpreadPlots
(groups of dynamically interacting plot-windows)
have been specially designed for several different
kinds of data.
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Univariate Analysis
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Multivariate
Analysis
Multiple
Regression - Multivariate Multiple Regression
Analysis. The spreadplot consists of a biplot, spinplot,
histogram and scatterplot-matrix.
Principal
Component Analysis of correlations or covariances.
The model visualization is a spreadplot composed of
a biplot, spin-plot, scree-plot and scatterplot-matrix.
Multidimensional
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.
Correspondence
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.
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