Gist d205e945f728984c4e063818ac5cff30

Gist 0d581df68207a968eebf2c08d00c6ef9

A choropleth map of France displays the weekly incidence of influenza-like illnesses across regions for 2014, with color intensity indicating case counts. The visualization uses the `d3.geo.conicConformal()` projection and `d3.geo.path()` to render regional boundaries from the `france.json` GeoJSON file. Data from `GrippeFrance2014.csv` is intended to drive a quantized color scale, though the merging code is incomplete in the provided snippet.

95% match

Gist 5ff3b42a72d8341bd7fab315c946fd26

A choropleth map of France displays the total influenza cases per region for 2014, computed by summing weekly values from the GrippeFrance2014.csv dataset. Each region is colored using a quantized color scale from `d3.scale.quantize`, with gray for missing data. The visualization uses `d3.geo.conicConformal` projection and `d3.geo.path` to render the country’s GeoJSON boundaries. Hovering over a region turns it red and reveals its name via a tooltip, implemented with `d3.csv` and `d3.json` loading.

Gist 95be29fb7fdeb0cae9833f205f3325ba

A choropleth map of France visualizes the cumulative 2014 influenza case counts (somme2014) for each region, with a color scale ranging from light green to dark green. The map is rendered using D3.js version 3, employing the `d3.geo.path` and `d3.geo.conicConformal` projection to draw the geographic regions from a GeoJSON file. Regional data from a CSV is joined with the map features, and hover interactions display the region name via a tooltip while highlighting the region in red.

Gist 960f7a5e5dc4379bb2921d2e8b252bb5

This example visualizes influenza rates across French regions from 2003 to 2014, using a choropleth map that updates with a slider to show weekly data over time. The map uses `d3.geo.conicConformal` projection and `d3.geo.path` to render the regions, with region colors determined by a `d3.scale.quantize` color scale applied to the flu case counts from the CSV data. A tooltip displays the region name and value on mouse hover, and a legend indicates the color scale for the data range.

Gist 1fcd593c1b3d65bb50e14a326908de40

A choropleth map of France displays cumulative influenza cases per region for 2014. Regions are colored on a quantized green scale based on their annual totals, with a slider to filter weekly data. Built with D3 v3, it loads region boundaries and health data asynchronously via a queue, projects them with a conic conformal projection, and renders interactive paths with hover tooltips.

Gist baa4df6da9fa4834e074874f5bf4dbb4

A choropleth map of France shows aggregated influenza cases per region for a one-week period in November 2014, with a green sequential color scale ranging from light to dark based on case counts. Built with D3 v4, the visualization merges weekly CSV data with a GeoJSON map of French regions. It uses `d3.geoConicConformal` for projection and `d3.geoPath` to render region boundaries, while a tooltip displays region names and exact case totals on mouseover.

CChaf1A

93% match

Gist 4f4141677ee48d1b9c4fcaaab824ccbf

This map visualizes the cumulative 2014 influenza case counts for each French administrative region. A choropleth uses a quantized color scale to show the sum across all monitored weeks, with a slider to interactively explore individual weekly data. The visualization merges CSV data with GeoJSON boundaries, rendering them using D3’s `d3.geo.path` with a conic conformal projection. Hovering a region highlights it, turns it red, and displays its name and total in a tooltip.

93% match