Data Visualization Overview - Maple Help
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Graphical Data Analysis 

 

Data Visualizations 

Description 

Available Commands 

Live Data Plots Palette 

Data Visualizations 

3-D Agglomerated plot 

3-D Area chart 

Agglomerated plot 

Area chart 

Bar chart 

Biplot 

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Box plot 

Bubble plot 

Column graph 

Correlogram 

Cumulative sum chart 

Data plot 

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Error plot 

Frequency plot 

Heat map 

Histogram 

Line chart 

Pareto 

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Path of a stochastic process 

Pie chart 

Plot kernel density 

Plot point 

Plot quantile 

Probability plot 

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Profile of likelihood 

Scatter plot 

Scatter plot 3-D 

Scree plot 

Seasonal subseries plot 

Sunflower plot 

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Surface plot of data 

Symmetry plot 

Time series plot 

Tree map 

Tree plot 

Venn diagram 

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Violin plot 

Weibull plot 

 

 

 

 

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Description 

  • The Statistics package supports a variety of tools for visualizing univariate and multivariate data. These include bar charts, line charts, histograms, scatter plots, etc. The following is a list of available commands.
 

  • For some examples, see Data Visualization Examples.
 

Available Commands 

AgglomeratedPlot 

generate agglomerated plots 

AreaChart 

create area charts from data 

BarChart 

create bar charts from data 

Biplot 

generate biplots 

BoxPlot 

create box plots from data 

BubblePlot 

generate bubble plots 

ColumnGraph 

create column graphs from data 

CumulativeSumChart 

generate cumulative sum charts 

dataplot 

plot a dataset 

DensityPlot 

plot the density of a random variable 

ErrorPlot 

generate error plots 

FrequencyPlot 

generate frequency plots 

GridPlot 

generate a grid of plots 

HeatMap 

generate heat maps 

Histogram 

generate histograms 

KernelDensityPlot 

plot the kernel density estimate of a data set 

LineChart 

generate line charts 

NormalPlot 

generate normal plots 

ParetoChart 

generate Pareto chart 

PathPlot 

plot the path of a stochastic process 

PieChart 

generate pie charts 

PointPlot 

generate point plots 

ProbabilityPlot 

generate probability plots 

ProfileLikelihood 

plot a profile of the likelihood function 

ProfileLogLikelihood 

plot a profile of the log likelihood function 

QuantilePlot 

generate quantile-quantile plots 

ScatterPlot 

generate scatter plots 

ScreePlot 

generate scree plots for variance 

SeasonalSubseriesPlot 

plot the seasonal subseries of a time series 

SunflowerPlot 

generate sunflower plots 

SurfacePlot 

generate surface plots 

SymmetryPlot 

generate symmetry plots 

TimeSeriesPlot 

visualize time series data 

TreeMap 

generate tree maps 

TreePlot 

plot binomial/trinomial trees (finance) 

VennDiagram 

generate Venn diagrams 

ViolinPlot 

create violin plots from data 

WeibullPlot 

generate Weibull plots 

  • These commands can be used with tools available in plots and plottools packages to create multi-component plots.
 

Live Data Plots Palette 

  • The Live Data Plots palette makes it easy to create and customize statistical plots, including area charts, histograms, pie charts, and scatter plots. For more details on the Live Data Plots palette, see Live Data Plots.
 

See Also 

Live Data Plots 

plots 

plottools 

Statistics 

Statistics[Commands] 

Statistics[DescriptiveStatistics]