Gist cf47ed32426b88863d607d9d0dccb77d

Gist 1046e6003c6e5198ef4647da9b64c3b7

This example displays a static map of French regions, rendered using a conic conformal projection centered on France. The visualization uses D3 v4’s `d3.geoConicConformal`, `d3.geoPath`, and `d3.json` to load and draw geographic data from an external regions JSON file. The SVG canvas is 700 by 580 pixels, with all region boundaries shown as simple paths. No interactivity or additional styling is applied; the map is presented in its raw, unadorned form.

MMilowB

86% match

France

This map of France uses a conic conformal projection to display the country’s administrative regions. The visualization renders each geographic feature as a separate SVG path, with the projection centered on the country’s coordinates. Built with D3 v4, the code relies on `d3.geoConicConformal()` and `d3.geoPath()` to transform GeoJSON data into the final map. The geographic data is loaded from a local file named “France.json,” and the resulting paths are drawn without additional styling or interactivity.

MMathReynaud

82% match

Gist 496f20b47774ec679ab5dd48beff9d7e

This example maps French regional data from a CSV file onto a geographic outline of France. It uses a conic conformal projection and a quantized color scale to shade each region according to a numeric value. The visualization loads GeoJSON topology for the region boundaries and joins it with the CSV data, filling regions with a five-step green color ramp, while regions without data appear gray. The code relies on D3 v4’s `d3.geoConformal`, `d3.geoPath`, `d3.scaleQuantize`, and CSV/JSON loading functions.

EElisaDnr

82% match

fresh block

This example displays a map of a French region, likely a department or territory, as a set of gray polygon outlines. It uses D3.js v4 to load a GeoJSON file named "regions.json" and render its features onto an SVG canvas. The code relies on the `d3.geoAlbersUsa()` projection and `d3.geoPath()` to convert the geographic coordinates into SVG paths, which are then appended to the visualization.

fresh block

This example displays a map of a French region, likely a department or territory, as a set of gray polygon outlines. It uses D3.js v4 to load a GeoJSON file named "regions.json" and render its features onto an SVG canvas. The code relies on the `d3.geoAlbersUsa()` projection and `d3.geoPath()` to convert the geographic coordinates into SVG paths, which are then appended to the visualization.

fresh block

This example displays a map of a French region, likely a department or territory, as a set of gray polygon outlines. It uses D3.js v4 to load a GeoJSON file named "regions.json" and render its features onto an SVG canvas. The code relies on the `d3.geoAlbersUsa()` projection and `d3.geoPath()` to convert the geographic coordinates into SVG paths, which are then appended to the visualization.

fresh block

This example displays a map of a French region, likely a department or territory, as a set of gray polygon outlines. It uses D3.js v4 to load a GeoJSON file named "regions.json" and render its features onto an SVG canvas. The code relies on the `d3.geoAlbersUsa()` projection and `d3.geoPath()` to convert the geographic coordinates into SVG paths, which are then appended to the visualization.