test

test

This visualization maps weekly influenza case counts across French regions for 2014. A choropleth of the country uses color to encode the health data, with hover interactions revealing region names via a tooltip. The data is loaded from a CSV and joined to GeoJSON from `regions.json`, then drawn as SVG paths using `d3.geoPath` with a `geoConicConformal` projection, all within D3 v4.

TTanguideCrevoisier

92% 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.

88% match

Tp4

A choropleth map of French regions shows the cumulative total of influenza cases reported during 2014, with each region colored on a white-to-green scale based on its annual sum. The visualization combines a conic conformal projection with `d3.geoPath` to render regional boundaries from a GeoJSON file, while `d3.csv` loads weekly case counts from a CSV. A linear color scale (`d3.scaleLinear`) maps the maximum annual total to the darkest green, and region polygons are colored by matching names between the CSV and GeoJSON properties.

CChmits

88% 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.

Gist 596274e96e08f79d5a6d5a6b1c37b944

This visualization displays the incidence of influenza across French regions during the 2014 season, with a choropleth map coloring each region based on its total annual case count. The map is rendered using `d3.geoConicConformal` projection and `d3.geoPath` to draw France’s departmental boundaries. Data from a CSV file is joined to a GeoJSON of regional shapes, and the final fill color reflects each region’s summed value. The code also includes a US states GeoJSON, though its use is not demonstrated in the visible implementation.

CChmits

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 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.

Gist df3049cee654f94fee785b0655c7554f

This visualization shows the spread of influenza across French regions from 2003 to 2015, with a choropleth map colored by weekly case counts. A slider lets viewers scrub through time, updating the map and a label showing the current week. The code uses `d3.geo.conicConformal` for the map projection, a `d3.scale.quantize` color scale, and `queue()` to load both `regions.geojson` and the CSV dataset. Hovering over a region triggers a tooltip, and a legend displays the color-to-value ranges.