Choose geographic visual encodings that match the data and comparison task.
Editorial note checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
The guide covers choropleths, heatmaps, data-driven layers and performance considerations. It helps distinguish a numeric comparison from a density or location display.
Teams visualizing a dataset on a Mapbox map.
Area size, normalization and color scales can mislead. Large client-side datasets can also impair interaction and expose data the viewer should not receive.
Unknown; inspect source requirements and supporting scripts.
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code. Catalog ingestion never executes skill instructions or install scripts.
npx skills add https://github.com/mapbox/mapbox-agent-skills/tree/f71cd72b8d8937b06db440538bd65559eb792c49/skills/mapbox-data-visualization-patterns --skill mapbox-data-visualization-patternsReview pinned skill folder ↗ · CLI documentation ↗
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
85/100 · Metadata coverage 100% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
Identify the measure and geographic unit, choose an appropriate encoding and minimize the delivered dataset.
Compare known values, nulls and outliers, inspect the legend and keyboard alternatives and measure interaction on representative mobile hardware.
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