3 Repos
Awesome GitHub RepositoriesChoropleth Maps
Maps that shade geographic areas based on a numeric metric to enable visual comparison across regions.
Distinct from Metric Value Comparisons: No candidate covers choropleth maps; closest candidates focus on metric comparisons or categorical charts without geographic context.
Explore 3 awesome GitHub repositories matching data & databases · Choropleth Maps. Refine with filters or upvote what's useful.
Awesome Choropleth Maps GitHub Repositories
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- python-visualization/folium
python-visualization/folium
7,372Auf GitHub ansehenFolium is a Python library that builds interactive Leaflet.js maps directly from Python data structures, enabling geographic data visualization in Jupyter notebooks or as standalone HTML pages. It creates maps centered on given coordinates with configurable zoom, tiles, and dimensions, and supports embedding those maps inside web routes for serving in browsers. The library provides a comprehensive set of tools for data-driven map creation, including choropleth maps that bind tabular data to geographic geometries, colormap application to markers and polygons, and GeoJSON data overlay and visua
Binds tabular data to geographic geometries and colors regions based on values.
Pythondata-sciencedata-visualizationjavascript - evidence-dev/evidence
evidence-dev/evidence
5,919Auf GitHub ansehenDisplays a choropleth map that shades geographic areas based on a numeric metric, enabling visual comparison across regions.
JavaScriptanalyticsbusiness-intelligencedashboard - markmarkoh/datamaps
markmarkoh/datamaps
3,800Auf GitHub ansehenDatamaps is a library for generating interactive, data-driven geographic visualizations within web applications. It utilizes scalable vector graphics to render maps, allowing for precise styling and responsive resizing across different screen sizes. The library provides a declarative configuration pattern that binds custom datasets to geographic regions. This enables the creation of choropleth maps, where regions are color-coded based on statistical values, and point-based overlays that represent individual data points as interactive bubbles. Beyond basic rendering, the toolset includes capa
Generates color-coded choropleth maps to visualize statistical distributions across geographic regions.
JavaScript
