Gist 1fcd593c1b3d65bb50e14a326908de40

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.

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.

94% match

Gist d205e945f728984c4e063818ac5cff30

A choropleth map of France displays weekly influenza case counts across regions from 2003 to 2014, with a slider to navigate through time and a color scale indicating intensity. Regions lacking data appear gray, and hovering highlights a region in red with a tooltip showing its name and value. The visualization uses D3 v3 with `d3.geo.conicConformal` and `d3.geo.path` to render GeoJSON boundaries, while a quantized color scale maps the CSV data values.

94% match

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

Gist 557a7c0474a7c20c0723b9ab166c105b

A choropleth map of French regions shows the cumulative reported influenza cases for November 2014, using a five-color quantize scale from green to dark green on a light gray base. The map is rendered with d3.v3’s geo path and a conic conformal projection, loading region boundaries from a GeoJSON file and joining them with CSV data. Hovering over a region displays a tooltip with its name and total case count for that period.

NNaram22

Gist 768c27ad0050241b5e9d1d8b4b1149ca

A choropleth map of French regions displays the weekly incidence of influenza cases from 2003 to 2015. A slider lets users scrub through the time series, updating region colors from a linear scale spanning green to dark red. The map is rendered with D3’s `d3.geo.conicConformal` projection and `d3.geo.path`, while the slider’s `input` event triggers redrawing of the paths. Data comes from CSV files with weekly counts per region, loaded asynchronously via `d3.queue`, and a tooltip shows the exact value on hover.

MMaximeGehin

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.