Gist 0d581df68207a968eebf2c08d00c6ef9

Gist 5ff3b42a72d8341bd7fab315c946fd26

A choropleth map of France displays the total influenza cases per region for 2014, computed by summing weekly values from the GrippeFrance2014.csv dataset. Each region is colored using a quantized color scale from `d3.scale.quantize`, with gray for missing data. The visualization uses `d3.geo.conicConformal` projection and `d3.geo.path` to render the country’s GeoJSON boundaries. Hovering over a region turns it red and reveals its name via a tooltip, implemented with `d3.csv` and `d3.json` loading.

95% match

Gist d205e945f728984c4e063818ac5cff30

A choropleth map of France displays weekly influenza case counts across regions from 2003 to 2014, with a slider to navigate through time and a color scale indicating intensity. Regions lacking data appear gray, and hovering highlights a region in red with a tooltip showing its name and value. The visualization uses D3 v3 with `d3.geo.conicConformal` and `d3.geo.path` to render GeoJSON boundaries, while a quantized color scale maps the CSV data values.

95% match

Gist 95be29fb7fdeb0cae9833f205f3325ba

A choropleth map of France visualizes the cumulative 2014 influenza case counts (somme2014) for each region, with a color scale ranging from light green to dark green. The map is rendered using D3.js version 3, employing the `d3.geo.path` and `d3.geo.conicConformal` projection to draw the geographic regions from a GeoJSON file. Regional data from a CSV is joined with the map features, and hover interactions display the region name via a tooltip while highlighting the region in red.

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.

NNaram22

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 1fcd593c1b3d65bb50e14a326908de40

A choropleth map of France displays cumulative influenza cases per region for 2014. Regions are colored on a quantized green scale based on their annual totals, with a slider to filter weekly data. Built with D3 v3, it loads region boundaries and health data asynchronously via a queue, projects them with a conic conformal projection, and renders interactive paths with hover tooltips.