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 sector chart:

The data may include units:

The time stamps in TimeSeries, EventSeries, and TemporalData are ignored:

The values in associations are taken as the values of the sectors:

Use the keys as labels:

Use the keys as legends:

Associations can be nested:

The weights in WeightedData are ignored:

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:

Get tabular data:

Compare the average weight and price of each group of cars:

Plot the values for all the components in TimeSeries or EventSeries:

Plot the values for a set of components of a TimeSeries or EventSeries:

Plot values from multiple sets of components:

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 drilldown information:

Button can be used to trigger any action:

Use an explicit list of styles for the sectors:

PlotStyle 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 a theme with dark background and profile 3D sectors:

Use a monochrome theme:

Use Labeled to add a label to a sector:

Use symbolic positions for label placement:

Provide value labels for sectors by using LabelingFunction:

By default, Axes are not drawn:

Use AxesTrue to turn on axes:

Turn each axis on individually:

No axes labels are drawn by default:

Place a label on the axis:

Specify axes labels:

The position of the axes is determined automatically:

Specify an explicit origin for the axes:

Change the style for the axes:

Specify the style of each axis:

Use different styles for the ticks and the axes:

Get a list of built-in settings for ChartElementFunction:

For detailed settings, use Palettes ▶ ChartElementSchemes:

Use ChartElementData to specify the same chart element rendering function as above:

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

Give a list of ChartElementFunction:

Built-in element functions may have options; use Palettes ▶ ChartElementSchemes to set them:

Color by sector angle:

Use ColorFunctionScaling->False to get unscaled angular values:

ColorFunction overrides styles in PlotStyle:

Use ColorFunction to combine different style effects:

Use ColorFunctionScaling->False to get unscaled height values:

Color by area:

Use named sizes, such as Tiny, Small, Medium and Large:

Specify the width of the plot:

Specify the height of the plot:

Allow the width and height to be up to a certain size:

Specify the width and height for a graphic, padding with space if necessary:

Setting AspectRatioFull will fill the available space:

Use maximum sizes for the width and height:

Use ImageSizeFull to fill the available space in an object:

Specify the image size as a fraction of the available space:

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:

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

Control the formatting of labels:

Generate a sector chart with interactive highlighting:

Emphasize performance by disabling interactive behaviors:

Typically less memory is required for noninteractive charts:

Charts with a moderate number of sectors automatically have tooltips and mouseover effects:

Turn off all the interactive elements:

Interactive elements provided as part of the input are disabled:

Allow provided interactive elements and disable automatic ones:

By default, labels are placed radially centered:

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:

Use the third argument to Placed to control formatting:

By default, labels are associated with rows of data:

Associate labels with rows or datasets:

Label both rows and columns:

Use Placed to affect placements:

Place multiple labels:

PlotLayout is grouped by default in concentric rings:

Use stacked sectors:

The stacked layout can display many datasets:

Add categorical legend entries for the columns of data:

For rows of data:

Use Legended to add additional legend entries:

Use Legended 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 PlotStyle to style sectors:

Style each column of data:

Style each row of data:

Style base, rows and columns of data:

PlotStyle combines with Style:

Style may override settings for PlotStyle:

"Elements" or "Groups" may override "Base" settings:

Use ColorFunction to combine different style effects:

Use a theme with plateau sectors in a bright color scheme:

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: