[bar-stacked-percent] bar-stacked-percent: 100% Stacked Bar Chart

[MarkusNeusinger]

Plot Request

Stacked bars normalized to 100% showing proportions.

Use Cases

• Market share over time
• Survey response breakdowns
• Composition analysis

Expected Features

• Bars sum to 100%
• Percentage labels optional
• Clear legend for components

[claude]

✅ Spec ID: bar-stacked-percent

Rationale: This is distinct from the existing bar-stacked spec which shows absolute values. The 100% normalized variant (-percent) is a standard visualization type for composition and proportion analysis where bars sum to 100%.

[github-actions]

✅ Specification Ready: bar-stacked-percent

PR: #2018

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specification.md

bar-stacked-percent: 100% Stacked Bar Chart

Description

A 100% stacked bar chart displays multiple data series as proportional segments within each bar, where every bar is normalized to sum to 100%. This visualization emphasizes composition and relative proportions rather than absolute values, making it ideal for comparing how different components contribute to a whole across categories. It reveals patterns in distribution and share that might be obscured when absolute values vary significantly between categories.

Applications

• Tracking market share evolution over time where each bar represents a time period and segments show competitor proportions
• Analyzing survey response distributions where each question's responses are shown as percentage breakdowns
• Comparing budget or resource allocation across departments where each bar shows proportional spending by category

Data

• category (categorical) - Labels for each bar on the x-axis (e.g., years, regions, departments)
• component (categorical) - The different series being compared (creates the proportional segments)
• value (numeric) - Raw values that will be normalized to percentages within each category
• Size: 3-12 categories with 2-6 components recommended for clear interpretation
• Example: Market share by quarter, survey responses by question, energy mix by country

Notes

• Use distinct, harmonious colors for each component with a clear legend
• Consider adding percentage labels within segments when space permits
• Order components consistently across all bars for easier visual tracking
• Ensure the legend clearly identifies each component
• This variant is preferred over regular stacked bars when comparing proportions matters more than absolute values

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Next: Add approved label to merge this specification to main.

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