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Graphical Data Analysis
Calling Sequence
Statistics[command](arguments)
command(arguments)
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.
Available Commands
AgglomeratedPlot
generate agglomerated plots
AreaChart
create area charts from data
BarChart
create bar charts from data
BoxPlot
create box plots from data
BubblePlot
generate bubble plots
ColumnGraph
create column graphs from data
CumulativeSumChart
generate cumulative sum charts
DensityPlot
plot the density of a random variable
ErrorPlot
generate error plots
FrequencyPlot
generate frequency plots
Histogram
generate histograms
KernelDensityPlot
plot the kernel density estimate of a data set
LineChart
generate line charts
NormalPlot
generate normal plots
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
SunflowerPlot
generate sunflower plots
SurfacePlot
generate surface plots
SymmetryPlot
generate symmetry plots
These commands can be used with tools available in plots and plottools packages to create multi-component plots.
Examples
Generate bar chart and line chart
Superimpose the two plots and display the result.
Generate a pie chart
Generate a random sample drawn from the non-central Beta distribution. Generate a box plot and a histogram and display them in a single plot.
Use probability plot to compare a sample distribution and the original distribution
See Also
plots, plottools, Statistics, Statistics[Commands], Statistics[DescriptiveStatistics]
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