[choropleth-basic] Choropleth Map with Regional Coloring

[MarkusNeusinger]

A choropleth map where geographic regions (countries, states, or counties) are colored based on a data variable. Includes legend and proper projection.

[claude]

✅ Spec ID: choropleth-basic

Rationale: This is the foundational choropleth map type with regional coloring based on data values - no existing choropleth/geo specs in the repo.

Add label approved to begin generation.

[github-actions]

✅ Specification Ready: choropleth-basic

PR: #3076

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specification.md

choropleth-basic: Choropleth Map with Regional Coloring

Description

A choropleth map visualizes data by shading geographic regions (countries, states, or counties) according to a measured variable. This technique is ideal for showing regional patterns and spatial distributions, making it easy to identify areas with high or low values at a glance. The color intensity represents the data magnitude, creating an intuitive way to understand geographic variation.

Applications

• Displaying population density or demographic statistics across countries or states
• Visualizing election results or voting patterns by region
• Showing economic indicators like GDP per capita or unemployment rates by geographic area
• Mapping disease prevalence or health outcomes across administrative regions

Data

• region_id (string) - Geographic identifier (country ISO code, state FIPS code, or region name)
• value (numeric) - The data variable to visualize (e.g., population, rate, percentage)
• Size: 10-200 regions (works best with moderate number of distinct areas)
• Example: Country-level data like population by country, or US state-level statistics

Notes

• Include a color legend showing the value range and corresponding colors
• Use an appropriate map projection (e.g., Robinson for world maps, Albers Equal Area for US)
• Consider using a sequential color palette for continuous data or diverging palette for data with a meaningful center point
• Ensure region boundaries are clearly visible but not overwhelming
• Handle missing data gracefully (show as gray or hatched pattern)

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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: choropleth-basic
PR: #3076 (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