Which bins to use is automatically determined:

Specify which categories/bins to use:

Specify how many categories to use:

Sort categories on the chart based on the values:

Sort categories on the chart based on category names:

Show just categories whose counts meet a minimum count threshold of 50:

Show just categories whose counts meet a minimum percentage threshold of 22 percent:

Take categories using the default ordering until a minimum total percentage threshold is obtained:

Take categories using a specific ordering until at least a minimum total percentage of 5 percent threshold is met:

Change labels for specific categories:

Data that belongs to the same datasets across categories is styled the same:

Associations can be nested:

Use keys as legends:

Use different layouts to display multiple datasets:

Use "Overlapped" layout:

Use rows and columns of individual plots to show multiple sets:

Control the origin of bars:

Get tabular data, with information about Titanic passengers, class and sex:

Create a Histogram for class of passengers:

See the counts of passengers grouped by Class and Sex:

Use stacked bars for the display:

Use wrappers on individual data:

Use an explicit style list for each category bin of the data:

Use explicit color types that belong to the same dataset:

Use any gradient or indexed color schemes from ColorData:

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

Use any graphic for pictorial bars:

Use built-in, programmatically generated bars:

For detailed settings, use Palettes ▶ ChartElementSchemes:

Use a monochrome theme:

Provide value labels for bars by using LabelingFunction:

ChartElements may override settings for PlotStyle:

Use Placed within a custom function to control placement and formatting:

Add categorical legend entries for categories:

Use Association based PlotStyle to indicate categories

Add categorical legend entries for datasets:

Use Placed to affect the positioning of legends: