Gist 7a670ce28de4fb296ed54dbff24bed19

Gist 0562486f752206b124480873ad868676

A choropleth map of France colors each region according to its total reported flu cases across 2014, using a green sequential scale to show geographic variation in incidence. The visualization loads weekly case counts from a CSV file and joins them to regional polygons from a GeoJSON file by matching region names. D3 v4’s `d3.geoConicConformal` projection and `d3.geoPath` render the map, while a `d3.scaleQuantize` maps summed annual values to five color classes. Regions lacking data appear gray.

EElisaDnr

95% match

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 baae6b15cf267f80467294f6cf1ab34b

A choropleth map of France shows the cumulative number of reported flu cases in 2014 for each region. The map uses a green color scale, with darker shades indicating higher totals; regions without data are gray. The visualization merges a CSV file of regional case sums with a GeoJSON of French administrative regions, using `d3.csv` and `d3.json` to load the data. It projects the geographic coordinates with `d3.geo.conicConformal` and renders the regions as SVG paths, coloring each polygon via a quantized color scale.

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 7318a250abd12cc0d3e1181da3f1ecb0

This example shows a choropleth map of France, coloring each administrative region according to the cumulative number of flu cases reported during November 2014. The data is loaded from a CSV file and joined to GeoJSON features by region name. The map uses `d3.geo.conicConformal` projection and `d3.geo.path` to render the regions, with a `d3.scale.quantize` color scale mapping summed weekly values to a green color ramp. Hovering over a region displays its name in a tooltip.

OOrhanYaz

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 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 84ef6eb7d19cde664dfb4f461ddce3d3

A choropleth map of French regions colors each region by the sum of influenza case counts across five dates in late 2014, sourced from the `grippe.csv` file. The map uses `d3.geo.conicConformal` projection and `d3.geo.path` to render the GeoJSON regions, while `d3.scale.quantize` assigns a green color scale. Data values are injected into the GeoJSON features by matching region names, then applied as fill colors.

MMohamedZaki