[scatter-matrix-interactive] Interactive Scatter Plot Matrix (SPLOM)

[MarkusNeusinger]

An interactive scatter plot matrix (SPLOM) for exploring relationships between multiple variables. Supports brushing, linking, zooming and selection across all subplot pairs.

[claude]

✅ Spec ID: scatter-matrix-interactive

Rationale: This is the interactive variant of the existing scatter-matrix spec, explicitly requiring brushing, linking, zooming, and cross-selection features that the base spec does not mandate.

Add label approved to begin generation.

[github-actions]

✅ Specification Ready: scatter-matrix-interactive

PR: #3605

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specification.md

scatter-matrix-interactive: Interactive Scatter Plot Matrix (SPLOM)

Description

An interactive scatter plot matrix (SPLOM) for exploring relationships between multiple variables with full interactivity. Users can brush to select points in one subplot and see corresponding points highlighted across all other subplots, enabling discovery of patterns that span multiple dimensions. Supports zooming, panning, and linked selection across the entire matrix, making it a powerful tool for multivariate exploratory data analysis.

Applications

• Interactive exploration of multivariate datasets where analysts brush regions to identify clusters and correlations across multiple variable pairs simultaneously
• Feature engineering in machine learning workflows where data scientists interactively select subgroups to understand their distribution across all features
• Quality control analysis where engineers select outlier regions in one measurement and instantly see how those points behave across all other measurements

Data

• variables (list of numeric columns) - Multiple continuous variables to compare pairwise
• Variables: 3-5 recommended for usability (grid grows quadratically)
• Size: 50-500 points recommended for responsive interactions
• Example: Iris dataset, mtcars, or similar multivariate numeric data

Notes

• Brushing/selection in any subplot must highlight corresponding points in all other subplots
• Support for box selection or lasso selection across scatter plots
• Diagonal cells should show univariate distributions (histograms or KDE) that update or highlight based on selection
• Include zoom and pan functionality for detailed inspection
• Unselected points should be visually de-emphasized (reduced opacity or gray)
• Provide a clear way to reset/clear selection
• Use consistent color encoding across all subplots
• Libraries without native linked selection (matplotlib, seaborn, plotnine) may need alternative approaches or should note limitations
• Interactive libraries (Plotly, Bokeh, Altair) should leverage their built-in linked brushing capabilities

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

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🤖 spec-create workflow

[github-actions]

🚀 Specification Merged!

Specification: scatter-matrix-interactive
PR: #3605 (merged)

The specification is now in main and synced to PostgreSQL.

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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.

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🤖 spec-create workflow