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

Box plot

Bubble plot

Column graph

Correlogram

Cumulative sum chart

Data plot

Error plot

Frequency plot

Heat map

Histogram

Line chart

Pareto

Path of a stochastic process

Pie chart

Plot kernel density

Plot point

Plot quantile

Probability plot

Profile of likelihood

Scatter plot

Scatter plot 3-D

Scree plot

Seasonal subseries plot

Sunflower plot

Surface plot of data

Symmetry plot

Time series plot

Tree map

Tree plot

Venn diagram

Violin plot

Weibull plot

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]