Stacked Bar Chart

Processing

Generates a stacked bar chart visualization showing the composition of categories (values) within each primary group (labels), segmented by a stacking category (groups). The quantitative data is aggregated according to the selected aggregation method. The original input data is passed through as output, allowing the data flow to continue after visualization.

Inputs

labels

The primary categorical data (X-axis labels) used to define the groups being compared.

values

The quantitative data points that will be aggregated (summed or counted) to determine the height of the bars (Y-axis values).

groups

The categorical data used to stack the bars and assign colors, showing the internal composition of each primary group.

Inputs Types

You can check the list of supported types here: Available Type Hints.

Outputs

labels

The input labels data is passed through unchanged.

values

The input values data is passed through unchanged.

groups

The input groups data is passed through unchanged.

Outputs Types

You can check the list of supported types here: Available Type Hints.

Options

The Stacked Bar Chart brick contains some changeable options:

Labels field

Defines the field name used for labels (X-axis encoding) when processing complex data structures like DataFrames or DataRecords.

Values field

Defines the field name used for the quantitative values (Y-axis encoding) when processing complex data structures.

Groups field

Defines the field name used for the grouping and color encoding (stacking) when processing complex data structures.

Data aggregation

Specifies the aggregation method applied to the values field (e.g., sum or count) to determine the bar heights.