Gist 557a7c0474a7c20c0723b9ab166c105b

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.

96% match

Gist 7a670ce28de4fb296ed54dbff24bed19

A choropleth map of French regions colors each region by the sum of flu cases reported over five weeks in November 2014, using a green sequential scale from gray to dark green. It loads region boundaries from a GeoJSON file and joins them with CSV data containing weekly case counts per region. D3 v3’s `d3.geo.conicConformal` projection and `d3.geo.path` render the map, while a quantize color scale maps values to five color bins. Hovering over a region displays its name and total case count in a tooltip.

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.

94% 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.

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 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.

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.

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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