Gist fdde3703c17e99c86fa4ab3f02a96302

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.

94% match

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.

93% match

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.

93% 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 5fd28a5383eb7254b2ac93e71b7d357d

This choropleth map visualizes the weekly incidence of influenza-like illness across French regions for 2014, using a green color scale to encode the cumulative case totals for November. A slider allows users to scrub through the 55 weeks of data, updating a displayed date label. The visualization merges CSV data with GeoJSON region boundaries, rendering the regions as SVG paths using `d3.geoPath` with a conic conformal projection. Color mapping is handled by `d3.scaleQuantize`, and a tooltip displays region names and values on mouseover.

NNpfn

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 b15a0719d472a2a011176c8a2677efb8

A choropleth map of metropolitan France shows cumulative influenza cases per region for November 2014, using a five-step green color scale applied to regional polygons. The visualization loads CSV data with weekly case counts per region and a GeoJSON file of French regions, merging them by regional name to calculate the November total. Built with D3 v3, it uses `d3.csv`, `d3.json`, `d3.geo.path` with a conic conformal projection, and `d3.scale.quantize` for color mapping, with hover tooltips displaying region names.

OOrhanYaz

Gist e98de21095e9f9f84be064c579fab3cf

This interactive choropleth map displays weekly influenza rates across French regions from 2003 to 2015. A slider lets the user step through each epidemiological week, recoloring the map using a quantized color scale based on the global minimum and maximum incidence values. The visualization uses d3.v3, specifically the d3.geo.conicConformal projection and d3.geo.path to render the regions from a GeoJSON file, while CSV data is joined to region names. Hovering a region highlights it by reducing opacity and shows a tooltip with details. The color legend displays the numeric range for each color bin.