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Data Visualization Overview - Maple Help
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Graphical Data Analysis

Data Visualizations

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 .


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