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Statistical Visualization

View statistical data patterns and trends

MuPAD Graphical Primitives

plot::Bars2d2D bar chart
plot::Bars3d3D bar chart of matrix data
plot::BoxplotStatistical box plots
plot::DensityDensity plot
plot::Histogram2dHistogram plots of data
plot::Piechart2d2D pie charts
plot::Piechart3d3D pie charts
plot::QQplotStatistical quantile-quantile plots
plot::SurfaceSTLImport of STL graphics files

MuPAD Graphical Attributes

AreaArea of a histogram plot
AveragedMode for computing quantile lines in box plots
CellsClasses of histogram plots
DataThe (statistical) data to plot
GroundBase value
SizeSize of a point list
CellsClosed, ClassesClosedInterpretation of the classes in histogram plots
DensityData, DensityFunctionDensity values for a density plot
Heights, MovesHeights of pieces in pie charts

Examples and How To

Create Scatter and List Plots

Scatter plots can help you identify the relationship between two data samples.

Create Bar Charts, Histograms, and Pie Charts

Bar charts, histograms, and pie charts help you compare different data samples, categorize data, and see the distribution of data values across a sample.

Create Box Plots

Box plots reduce data samples to a number of descriptive parameters.

Create Quantile-Quantile Plots

Quantile-quantile plots help you determine whether two samples come from the same distribution family.

Concepts

The Full Picture: Graphical Trees

Graphical trees form the structure of a MuPAD® plot.

Primitives

In this section, we give a brief survey of the graphical primitives, grouping constructs, transformation routines etc.

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