BUILT-IN MATHEMATICA SYMBOL

DistributionChart

DistributionChart[{data₁, data₂, ...}]
makes a distribution chart with a distribution symbol for each .

DistributionChart[{..., w_i[data_i, ...], ..., w_j[data_j, ...], ...}]
makes a distribution chart with symbol features defined by the symbolic wrappers .

DistributionChart[{{data₁, data₂, ...}, ...}]
makes a distribution chart from multiple groups of datasets .

Details and Options Details and Options

DistributionChart draws a representation of the distribution of values in each .
Data elements for DistributionChart can be given in the following forms:
data_i a pure dataset

w_i[data_i,...] data with wrapper

form_i->m_i data with metadata
Each should be a list of real numbers . Elements that are not real numbers are taken to be missing and are excluded. If is not a list of real numbers, it is taken to be missing data and will typically result in a gap in the box-and-whisker chart.
Datasets for DistributionChart can be given in the following forms:

	{data₁,data₂,...}	list of elements with or without wrappers
	w[{data₁,data₂,...},...]	wrapper applied to a grouped dataset
	w[{{data₁,data₁,...},...},...]	wrapper applied to all grouped datasets

Possible symbolic wrappers are the same as for BarChart and include Style, Labeled, Legended, etc.
DistributionChart has the same options as Graphics, with the following additions and changes:

AspectRatio	1/GoldenRatio	overall ratio of width to height
Axes	True	whether to draw axes
BarOrigin	Bottom	origin placement for shapes
BarSpacing	Automatic	fractional spacing between shapes
ChartBaseStyle	Automatic	overall style for shapes
ChartElementFunction	Automatic	how to generate raw graphics for shapes
ChartLabels	None	labels for data elements and datasets
ChartLayout	Automatic	overall layout to use
ChartLegends	None	legends for data elements and datasets
ChartStyle	Automatic	style for shapes
LabelingFunction	Automatic	how to label shapes
LegendAppearance	Automatic	overall appearance of legends
Method	Automatic	what methods to use
PerformanceGoal	$PerformanceGoal	aspects of performance to try to optimize
ScalingFunctions	None	how to scale individual coordinates

Possible settings for ChartLayout include and .
The arguments supplied to ChartElementFunction are the box region , the data vector , and metadata from each level in a nested list of datasets.
A list of built-in settings for ChartElementFunction can be obtained from .
With ScalingFunctions->s, the data coordinate is scaled using s.
Style and other specifications from options and other constructs in DistributionChart are effectively applied in the order ChartStyle, Style and other wrappers, and ChartElementFunction, with later specifications overriding earlier ones.