# Documentation

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# Statistical Visualization

View statistical data patterns and trends

 `plot::Bars2d` 2D bar chart `plot::Bars3d` 3D bar chart of matrix data `plot::Boxplot` Statistical box plots `plot::Density` Density plot `plot::Histogram2d` Histogram plots of data `plot::Piechart2d` 2D pie charts `plot::Piechart3d` 3D pie charts `plot::QQplot` Statistical quantile-quantile plots `plot::SurfaceSTL` Import of STL graphics files

 `Area` Area of a histogram plot `Averaged` Mode for computing quantile lines in box plots `Cells` Classes of histogram plots `Data` The (statistical) data to plot `Ground` Base value `Size` Size of a point list `CellsClosed, ClassesClosed` Interpretation of the classes in histogram plots `DensityData, DensityFunction` Density values for a density plot `Heights, Moves` Heights 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.