Overview

A Stacked Bar Chart displays data using horizontal bars stacked by series. It helps visualize the total value of each category along with the individual contribution of each sub-category, making it ideal for composition analysis when vertical space is limited or when horizontal labels are more readable.

When to Use

• To analyze both total values and component contributions.
• To show part-to-whole relationships across categories.
• When your category labels are long or need more space.
• To emphasize horizontal comparisons.

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Data Structure

Stacked Bar Charts support two standard data structures:

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Method 1: Wide Table Format (Multiple Measures)

Each sub-category (e.g., Type A, Type B...) is a separate column, and each row represents one bar (e.g., Q1, Q2...).

Component Configuration:

• Y-Axis: Category
• Measures: Type A, Type B, Type C, Type D

Example Data:

Category	Type A	Type B	Type C	Type D
Q1	30	70	20	65
Q2	40	30	20	10
Q3	60	60	30	10
Q4	25	35	85	15

Chart Example:

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Method 2: Long Table Format (Dimension + Measure)

Each row includes a category–type pair and a numeric value. This normalized format is common in real-world datasets.

Component Configuration:

• Y-Axis: Category
• Legend: Type
• Measure: Sales

Example Data:

Category	Type	Sales
Q1	Type A	40
Q1	Type B	55
Q1	Type C	25
Q2	Type A	50
Q2	Type B	30
Q2	Type C	15
Q3	Type A	30
Q3	Type B	40
Q3	Type C	70
Q4	Type A	35
Q4	Type B	45
Q4	Type C	30

Chart Example:

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Notes

• The total length of each bar represents the overall value.
• Colors differentiate sub-categories within each bar.
• You can enable data labels and adjust label position (left, right, inside).
• Works well for categorical comparisons, especially when category names are long.
• Supports additional options such as filters, colors, tooltips, and time axis.