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EEnzoTheBrown
Last edited Dec 10, 2017
Created on Dec 2, 2017

A choropleth map of French administrative regions displays influenza case counts across 52 weeks of 2014, with an interactive slider that lets viewers select a week. The visualization uses D3 v4’s `d3.geoConicConformal` projection and `d3.geoPath` to render GeoJSON region boundaries, while a `d3.scaleQuantize` color scale encodes the total flu cases per region. Data comes from the CSV file `GrippeFrance2014.csv` and is merged with region shapes in `regions.json`. The slider triggers a map update that recalculates each region’s fill color based on weekly totals.

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This example shows a choropleth map of French regions colored by influenza case counts for a selected week, with a slider to switch between 52 weeks of data. The visualization relies on D3 v4 to load GeoJSON region boundaries and CSV health data, then uses `d3.geoConicConformal` for the projection and `d3.scaleQuantize` for the color scale. A hover tooltip reveals region names, while the slider input triggers updates to the displayed week. The underlying data comes from external GitHub-hosted files for regions and 2014 flu surveillance.

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