Analyses

Exploratory and Descriptive Data Visualization and
Analysis

Dynamic
Exploratory Graphics include Spinplots, Scatterplots,
Scatterplot Matrices, Histograms, Boxplots, Parallel
Coordinate Plots, Mosaic Plots, Quantile Plots,
Normal Probability Plots, QuantileQuantile Plots,
Diamond Plots, Dotplots, Biplots, and Guided Tour
Plots.

Plots
support brushing and labeling, and are dynamically
linked.

Smoothers
and Contours can be added to several plots.

Descriptive
Statistics including Means, Standard Deviations,
Variances, Ranges, Quartiles, Medians, Correlations,
Covariances, Distances, Frequency Tables

SpreadPlots
(groups of dynamically interacting plotwindows)
have been specially designed for several different
kinds of data.

Univariate Analysis

Multivariate
Analysis
Multiple
Regression  Multivariate Multiple Regression
Analysis. The spreadplot consists of a biplot, spinplot,
histogram and scatterplotmatrix.
Principal
Component Analysis of correlations or covariances.
The model visualization is a spreadplot composed of
a biplot, spinplot, screeplot and scatterplotmatrix.
Multidimensional
Scaling of one or more symmetric or asymmetric
matrices. The model visualization is a spreadplot
composed of a scatterplot, spinplot, screeplot and
scatterplotmatrix. The spreadplot supports graphical
reestimation of model parameters.
Correspondence
Analysis of twoway contingency tables. The model
visualization is a spreadplot composed of a biplot,
spinplot, residuals plot and screeplot. The spreadplot
supports graphical reestimation of model parameters.

