Single data list:

Multiple data lists:

Data lists in a dataset are grouped together:

Datasets do not need to have the same number of data lists:

Nonreal data is taken to be missing and typically yields a gap:

Nonreal entries in data lists are omitted:

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 heights of the bars:

Use the keys as labels:

Use the keys as legends:

Associations can be nested:

Use WeightedData to add weights to data:

Use EventData to add censoring and truncation information:

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

Inner wrappers take precedence over outer wrappers:

Override the default tooltips:

Use PopupWindow to provide additional drilldown information:

Use the other charting functions in a PopupWindow to provide more information:

Button can be used to trigger any action:

Get tabular data:

Generate a distribution chart for flipper lengths:

Create a table with flipper lengths divided into columns by species:.

Compare flipper lengths by species:

Use abbreviated names for extended keys when the elements are unique:

Use smooth histograms to show the distributions of values in the data:

Use symmetrical smooth histograms or violins to show the distributions of values in the data:

Specify a narrower bandwidth for the smooth histogram:

Use a triangular kernel function for smoothing:

Use a bounded kernel function to remove artificial range:

Use binned histograms to show the distributions:

Use approximately 5 bins with "nice" boundary values:

Use bins with width 0.5:

Use density to show the distributions of values in the data:

Specify a narrower bandwidth for the smooth histogram:

Use a triangular kernel function for smoothing:

Add lines to show the where the values are in the data:

Change the data line width:

Change the data line color and thickness:

Add points to show the where the values are in the data:

Change the width of points located in the glyph:

Change the width of points located in the bounding box:

Change the point size:

Add quantile lines to the glyphs:

Specify how many quantiles to add:

Specify which quantiles to add:

Change the quantile style:

Use quantile shading to differentiate quantile regions:

Change the displaying range of the glyph in percentage:

Limit the displaying range of the glyph in absolute values:

Change alignment:

Use an explicit list of styles for the shapes:

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 shapes:

For detailed settings, use Palettes ▶ ChartElementSchemes:

Change the origin of shapes:

Adjust the spacing between individuals and groups of shapes:

Use a theme with dark background and high-contrast styles:

Use a theme with bright colors and grid lines:

Use Labeled to add a label to a shape:

Use symbolic positions for label placement:

Provide categorical labels for data elements:

For the data groups:

For both:

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

Provide value labels for shapes by using LabelingFunction:

Use Placed to control placement and formatting:

Add categorical legend entries for data elements:

For the data groups:

Use Legended to add additional legend entries:

Use Placed to affect the positioning of legends:

By default, DistributionChart uses a fixed height to width ratio for the plot:

Make the height the same as the width with AspectRatio1:

AspectRatioFull adjusts the height and width to tightly fit inside other constructs:

Change bar origin:

DistributionChart automatically selects the spacing between bars:

With groups of data:

Use symbolic spacing:

With groups of data:

Use explicit spacing between shapes:

With groups of data:

Use no bar spacing:

Within groups of data:

Get a list of built-in settings for ChartElementFunction:

For detailed settings, use Palettes ▶ ChartElementSchemes:

Shade the default violin bars according to density:

Use bands to mark decile boundaries:

Write a custom ChartElementFunction:

ChartLayout is grouped by default:

Use overlapped layout:

By default, bars have tooltips with a summary table of the data:

Define a labeling function and place it in the tooltip:

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:

Use bar widths proportional to the square root of the data sizes:

Put bars on fixed positions with varying bar spacing:

Use constant width bars:

Generate a distribution chart with interactive highlighting:

Emphasize performance by disabling interactive behaviors:

Typically, less memory is required for non-interactive charts:

Charts with a moderate number of bars 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:

Use a theme with bright colors and grid lines:

Add a theme with frame and vertical lines:

Change the grid lines style:

Linear scale is used by default:

Use log scale in coordinate:

When logarithm scale is used, non-positive data is dropped automatically: