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Last edited Dec 13, 2017

Created on Dec 13, 2017

This visualization maps weekly influenza case counts across French regions for 2014. A choropleth of the country uses color to encode the health data, with hover interactions revealing region names via a tooltip. The data is loaded from a CSV and joined to GeoJSON from `regions.json`, then drawn as SVG paths using `d3.geoPath` with a `geoConicConformal` projection, all within D3 v4.

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This example shows the spread of influenza across French regions during 2014 using a choropleth map. It displays the number of reported cases per region at a specific point in time, with a tooltip revealing the region name on hover. The code uses d3.json to load a GeoJSON file, d3.csv for the case data, and d3.geoPath with a d3.geoConicConformal projection to render the SVG paths. Regions are colored using d3.scale, and the monitoring data is joined to the geographic features for the fill.

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