[violin-grouped-swarm] Grouped Violin Plot with Swarm Overlay

[MarkusNeusinger]

Multiple grouped violin plots with swarm overlay showing individual data points. Combines distribution visualization with raw data for comparing multiple categories or groups.

[claude]

✅ Spec ID: violin-grouped-swarm

Rationale: This is a valid new specification distinct from violin-swarm (single category) and violin-split (binary comparison). The grouped variant adds a second categorical dimension via hue/color grouping, enabling comparison of distributions across multiple categories AND multiple groups simultaneously with raw data overlay.

Add label approved to begin generation.

[github-actions]

✅ Specification Ready: violin-grouped-swarm

PR: #3530

---

specification.md

violin-grouped-swarm: Grouped Violin Plot with Swarm Overlay

Description

A grouped violin plot with individual data points overlaid as swarm points, showing distributions across two categorical dimensions simultaneously. Multiple violin plots are arranged by category on the x-axis and grouped by a secondary variable using color/hue, with swarm points revealing the underlying raw data. This visualization combines distribution shape visualization with complete data transparency, ideal for comparing how distributions differ across multiple factors.

Applications

• Comparing drug efficacy distributions across multiple dosage levels and treatment groups
• Analyzing performance metrics across departments and employee seniority levels
• Visualizing experimental results across conditions and time points in research studies
• Comparing customer satisfaction scores across product categories and regions

Data

• category (categorical) - Primary grouping variable for x-axis positioning
• group (categorical) - Secondary grouping variable for hue/color differentiation
• value (numeric) - Continuous variable values shown on the value axis
• Size: 20-150 observations per category-group combination, 2-4 categories, 2-4 groups
• Example: Response times across 3 task types and 2 expertise levels with 40 observations each

Notes

• Use distinct colors for each group with a clear legend
• Apply transparency to violins (alpha 0.4-0.6) so swarm points remain visible
• Size swarm points appropriately (smaller than single-category version due to space constraints)
• Ensure adequate spacing between grouped violins to prevent overlap
• Swarm points should match the hue of their corresponding violin
• Consider dodging swarm points to align with their respective violin position

---

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

---

🤖 spec-create workflow

[github-actions]

🚀 Specification Merged!

Specification: violin-grouped-swarm
PR: #3530 (merged)

The specification is now in main and synced to PostgreSQL.

---

Next: Add generate:{library} labels to start generating implementations.

Available libraries: matplotlib, seaborn, plotly, bokeh, altair, plotnine, pygal, highcharts, letsplot

Or use workflow dispatch for bulk operations.

---

🤖 spec-create workflow