BUILT-IN MATHEMATICA SYMBOL

SectorChart

makes a sector chart with sector angles proportional to

and radii

.

SectorChart

makes a sector chart with sector features defined by the symbolic wrappers

.

SectorChart

makes a sector chart from multiple datasets

.

MORE INFORMATION

Data elements for SectorChart can be given in the following forms:

	{x_i,y_i}	pure sector angle and radius
	w_i[{x_i,y_i},...]	a sector with size and wrapper
	form_i->m_i	a sector form with metadata

Data not given in these forms is ignored in forming the sector chart.

Datasets for SectorChart can be given in the following forms:

	{e₁,e₂,...}	list of elements with or without wrappers
	w[{e₁,e₂,...},...]	wrapper applied to a whole dataset
	w[{data₁,data₁,...},...]	wrapper applied to all datasets

The following wrappers can be used for chart elements:

	Annotation[e,label]	provide an annotation
	Button[e,action]	define an action to execute when the element is clicked
	EventHandler[e,...]	define a general event handler for the element
	Hyperlink[e,uri]	make the element act as a hyperlink
	Labeled[e,...]	display the element with labeling
	Legended[e,...]	include features of the element in a chart legend
	Mouseover[e,over]	make the element show a mouseover form
	PopupWindow[e,cont]	attach a popup window to the element
	StatusArea[e,label]	display in the status area when the element is moused over
	Style[e,opts]	show the element using the specified styles
	Tooltip[e,label]	attach an arbitrary tooltip to the element

In SectorChart, Labeled and Placed allow the following positions:

	"RadialOuter","RadialCenter","RadialInner"	positions within sectors
	"RadialOutside","RadialInside","RadialEdge"	positions outside sectors
	"RadialCallout"	positions with callout lines
	{{s,s_r},{l_x,l_y}}	scaled position in the label at scaled polar position in the sector

SectorChart has the same options as Graphics with the following additions and changes:

ChartBaseStyle	Automatic	overall style for sectors
ChartElementFunction	Automatic	how to generate raw graphics for sectors
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 sectors
ColorFunction	Automatic	how to color sectors
ColorFunctionScaling	True	whether to normalize arguments to ColorFunction
LabelingFunction	Automatic	how to label sectors
LegendAppearance	Automatic	overall appearance of legends
PerformanceGoal	$PerformanceGoal	aspects of performance to try to optimize
PlotRange	Automatic	range of values to include
PolarAxes	False	whether to draw polar axes
PolarAxesOrigin	Automatic	where to draw polar axes
PolarGridLines	None	polar gridlines to draw
PolarTicks	Automatic	polar axes ticks
SectorOrigin	Automatic	initial angle and radius of sectors
SectorSpacing	Automatic	spacing between sectors

Possible settings for ChartLayout include and .

The arguments supplied to ChartElementFunction are the sector region , the values , and the metadata from each level in a nested list of datasets.

A list of built-in settings for ChartElementFunction can be obtained from .

The arguments supplied to ColorFunction are and r, where is the angle of sector and r the radius.

Style and other specifications from options and other constructs in SectorChart are effectively applied in the order ChartStyle, ColorFunction, Style and other wrappers, and ChartElementFunction, with later specifications overriding earlier ones.

EXAMPLES

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Basic Examples (5)

A sector chart with the second component representing the radial size:

An annular sector chart:

Multiple datasets:

Use categorical labels:

Categorical legends:

Set the style for sectors:

Use procedural sectors:

A sector chart with the second component representing the radial size:

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An annular sector chart:

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Multiple datasets:

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Use categorical labels:

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Categorical legends:

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Set the style for sectors:

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Use procedural sectors:

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Scope (26)

Items in a dataset are grouped together:

Datasets do not need to have the same number of items:

Nonreal data is taken to be missing and typically is ignored in the pie chart:

Use different layouts to display multiple datasets:

Control the direction of sectors:

Control the starting angle of sectors:

Control the starting radius of sectors:

Adjust the spacing between sectors and groups of sectors:

Use wrappers on individual data, datasets, or collections of datasets:

Wrappers can be nested:

Override the default tooltips:

Use any object in the tooltip:

Use PopupWindow to provide additional dropdown information:

Button can be used to trigger any action:

Use an explicit list of styles for the sectors:

Use any gradient or indexed color schemes from ColorData:

Use color schemes designed for charting:

ChartBaseStyle can be used to set an initial style for all chart elements:

Style can be used to override styles:

Use built-in programmatically generated sectors:

For detailed settings, use Palettes ► ChartElementSchemes:

Use Labeled to add a label to a sector:

Use symbolic positions for label placement:

Provide categorical labels for the columns of data:

For rows of data:

For both:

Use Placed to control the positioning of labels, using the same positions as for Labeled:

Provide value labels for sectors by using LabelingFunction:

Add categorical legend entries for the columns of data:

For rows of data:

Use Legended to add additional legend entries:

Use Placed to affect the positioning of legends:

Options (74)

Use ChartBaseStyle to style all sectors:

ChartBaseStyle combines with ChartStyle:

ChartStyle may override settings for ChartBaseStyle:

ChartBaseStyle combines with Style:

Style may override settings for ChartBaseStyle:

ChartBaseStyle combines with ColorFunction:

ColorFunction may override settings for ChartBaseStyle:

Get a list of built-in settings for ChartElementFunction:

For detailed settings, use Palettes ► ChartElementSchemes:

Use

to specify the same chart element rendering function as above:

Write a custom ChartElementFunction:

Use metadata passed on from the input, in this case charting the data:

By default, labels are placed in the center:

Labeled wrappers in data will place additional labels:

Use Placed to control label placement:

Positions outside the sector:

Callout positions:

Coordinate-based placement relative to a sector:

Place all labels at the first outer corner and vary the coordinates within the label:

Use the third argument to Placed to control formatting:

Use a hyperlink label:

By default, labels are associated with columns of data:

Associate labels with rows or datasets:

Label both rows and columns:

Use Placed to affect placements:

Place multiple labels:

ChartLayout is grouped by default in concentric rings:

Use stacked sectors:

The stacked layout can display many datasets:

Generate a legend based on chart style:

Use Legended to add additional legend entries:

Or to specify individual legend entries:

Generate a legend for datasets:

Unused legend labels are dropped:

Legends can be applied to several dimensions:

Use Placed to control the placement of legends:

Use ChartStyle to style sectors:

Give a list of styles:

Use

colors from ColorData:

Use

colors from ColorData:

Styles are used cyclically:

Style each column of data:

Style each row of data:

Style both rows and columns of data:

With both row and column styles the last style may override earlier ones:

Style overrides settings for ChartStyle:

ColorFunction overrides settings for ChartStyle:

Color by sector angle:

Use ColorFunctionScaling->False to get unscaled angular values:

Color by area:

ColorFunction overrides styles in ChartStyle:

Use ColorFunction to combine different style effects:

Use ColorFunctionScaling->False to get unscaled height values:

Color by area:

Use automatic labeling by values through Tooltip and StatusArea:

Do no labeling:

Use Placed to control label placement:

Symbolic positions outside the sector:

Positions for callout labels:

Coordinate-based placement relative to a bar:

Control the formatting of labels:

Use the given chart labels as arguments to the labeling function:

Generate a sector chart with interactive highlighting:

Emphasize performance by disabling interactive behaviors:

Typically less memory is required for non-interactive charts:

By default, no polar axes are drawn:

Draw angular axes but no radial axes:

Draw both angular and radial axes:

PolarAxes are drawn individually for multiple datasets:

Determine where the angular axes and radial axes intersect automatically:

Specify the angular axes and radial axes to intersect at

:

Place radial axes to the right of the sector chart:

Place radial axes at the left of the sector chart:

Place radial axes at the top of the sector chart:

Place radial axes at the bottom of the sector chart:

Place radial axes at the top right and let angular axes be at radius 5:

Place no ticks:

Determine polar ticks automatically:

Specify angular ticks to be in degrees:

Specify angular ticks to be in radians:

Specify angular ticks to be direction indicators:

Give a list of tick positions for radial axes:

Put grid lines across the polar region:

Draw grid lines at the specified positions:

Specify a grid line style:

Specify the styles for individual grid lines:

Specify overall ticks style, including the tick labels:

Specify ticks style for each axis:

By default, sectors start on the left and add clockwise:

Generate a donut chart for a list of values:

Reverse the direction of the sectors:

Rotate the chart by

:

Use automatically determined spacing between sectors:

Use no spacing:

Use symbolic presets:

Use explicit spacing between sectors:

Use explicit spacing between sectors and groups of sectors:

Applications (7)

Generate a sector graph:

Generate a vector graph:

Generate a circular column graph:

Click on the sectors to hear the name of the country, its GDP per capita, and population:

Create a radar graph of nutritional content:

Visualizing GDP per capita:

Add a fancy Tooltip label for each sector:

Wind direction from WeatherData ranges from 0° to 360°:

Get wind direction data for Willard Airport (CMI) in Champaign, Illinois:

Remove missing data:

Define a chart element function that stores bin width and count data usng Sow:

Create a histogram of the wind directions, and store the bin width and frequencies:

Create a polar histogram of the wind direction frequencies:

Properties & Relations (4)

SectorChart is a generalization of PieChart:

Use SectorChart3D to render sectors in 3D:

Use RectangleChart to render pairs as bars:

Use ListPlot and ListLinePlot to produce line graphs from pairs of numbers:

Neat Examples (3)

This exercises ticks:

This exercises grid lines:

Here is some chart work: