Gist b15a0719d472a2a011176c8a2677efb8

Gist 64174c24e41df28d6d2ea7a35a185651

A choropleth map of metropolitan France depicts the total weekly influenza cases for each region during November 2014, aggregated from the CSV data. Regions are colored on a green scale using a d3.scale.quantize, with darker shades indicating higher case counts. The map uses d3.geo.conicConformal projection and d3.geo.path to render GeoJSON features, and hover interactions display region names via a tooltip while dimming the selected path.

OOrhanYaz

96% match

Gist 54ef66cc8b6ee717b9f33d505ce60940

A choropleth map of France shows the total number of influenza cases reported in 2014 for each administrative region. The map uses a green color scale, with darker shades representing higher case totals, and grey for regions without data. The visualization is built with D3 v3, using `d3.geo.conicConformal` for the map projection and `d3.geo.path` to render the GeoJSON boundaries. CSV data is joined to the geographic features, with a quantize scale mapping summed annual case counts to the color range.

OOrhanYaz

94% match

Gist 9da9e4640a7b2a03db534849c5d713b7

A choropleth map of metropolitan France encodes the cumulative influenza case counts for late 2014 across 22 regions, using a five-class green color scale on top of a ConicConformal projection. The code merges CSV data with GeoJSON polygons via the `d3.csv` and `d3.json` calls, then renders the shapes through `d3.geo.path`. Hovering over a region reveals an HTML tooltip with its name and summed value from five weekly columns.

AAurelink

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.

Gist bfc4fc4700e3d19007fa079cdb68d18a

A choropleth map of France shows the incidence of influenza across 22 regions for a five-week period in late 2014, with darker green fills marking higher case counts. The visualization merges weekly case data from a CSV file with regional boundaries from a GeoJSON file, using a conic conformal projection to render the map. Color values are assigned via `d3.scale.quantize()`, and interactive tooltips display the region name and summed case total on mouseover. The code relies on D3.js v3 for geospatial paths, data loading, and event handling.

Gist 8451fca4f10e880b32066b08ca934d3b

This choropleth map of French regions visualizes the total number of reported influenza cases for November 2014, coloring each region on a green scale from light to dark based on case counts. The visualization uses d3.geo.conicConformal projection and d3.geo.path to render the GeoJSON map, while a d3.scale.quantize maps data values to colors. Hovering over a region displays its name and case count via a tooltip. The data aggregates weekly flu statistics from the GrippeFrance2014.csv file specifically for the month of November.

92% match

Gist fdde3703c17e99c86fa4ab3f02a96302

A choropleth map of French administrative regions highlights the 2014 influenza season's November peak, with each region shaded by the summed weekly case counts from that month. Built with D3 v3, it uses a conic conformal projection and a quantized color scale, and merges CSV data with GeoJSON regions. Hovering over a region reveals its name and the computed value via a custom tooltip.