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:

The data may include units:

Specify the units to use:

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 callouts above the sectors:

Use the keys as legends:

Associations can be nested:

The weights in WeightedData are ignored:

The censoring and truncation information in EventData is 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, counted by the "class" and "survived" columns:

Create a chart of how many passengers were in each ticket class:

Show how many passengers survived and how many perished:

Display the number of passengers who survived by ticket class:

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

Plot the values for a component of a TimeSeries or EventSeries:

Plot values from multiple 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 a high-contrast color scheme and bezel sectors:

Use a monochrome theme:

Use Labeled to add a label to a sector:

Use symbolic positions for label placement:

Use Callout to add a label to a sector:

Change the appearance of the callout:

Automatically position callouts:

Provide value labels for sectors by using LabelingFunction:

Generate callouts from the data:

Possible string values for ChartElementFunction:

For detailed settings, use Palettes ▶ ChartElementSchemes:

Use ChartElementData to specify the full chart element rendering function:

Write a custom ChartElementFunction:

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

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

Color by sector angle:

Use ColorFunctionScaling->False to get unscaled height values:

ColorFunction overrides styles in PlotStyle:

Use ColorFunction to combine different style effects:

By default, scaled height values are used:

Set ColorFunctionScaling to False to allow raw values to be passed to the color function:

Use ColorFunctionScaling->False to get unscaled height values:

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:

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:

Positions outside the sector:

Callout positions:

Coordinate-based placement relative to a sector:

Use Callout to place labels automatically:

Control the formatting of labels:

Textual labels are shown at their actual sizes:

Image labels are automatically resized:

Specify a maximum size for textual labels:

Specify a maximum size for image labels:

Show image labels at their natural sizes:

Generate a pie 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:

Use Callout to connect the labels to the sectors:

Use Callout to automatically optimize label locations:

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 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 effectively display many datasets:

Place each set in a separate panel:

Use a row instead of a column:

Use multiple columns or rows:

Prefer full columns or rows:

Add categorical legend entries for the elements of data:

For groups 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:

Specify styles for different groups:

Style each element of data:

Style each group of data:

Style base, elements and groups 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 a high-contrast color scheme and bezel sectors:

Change the chart element function:

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: