Skip to main content
SimilarExport ZIP
100%

covid en France!

✓ Published0🌍 Public
Yyvesponcon
Last edited Nov 17, 2020
Created on Nov 16, 2020

This choropleth map shows the number of COVID-19 hospitalizations per French department, encoded with a white-to-dark-red color scale. The visualization uses a Mercator projection via `d3.geoPath` and `d3.geoMercator`, with `d3.scalePow` mapping hospitalization counts to fill colors. Hovering reveals the department name and its count through a `<title>` element. The map supports pan and zoom through `d3.zoom`, and data is loaded from a CSV file using `d3.csv`.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

covid en France avec légende!

A choropleth map of France displays cumulative COVID-19 hospitalizations per department, with a white-to-dark-red color scale using a power exponent to emphasize high totals. The visualization uses d3.geoMercator and d3.geoPath to project and draw geographic features from a JSON topology, while d3.scalePow maps the data domain to the color range. Department totals are loaded from a CSV file via d3.csv, and each path includes a title tooltip showing the department name and its value.

Yyvesponcon
94% match
Loading thumbnail…

Visualization of France's spreading of sickness

A choropleth map displays the geographic spread of influenza-like illness across French regions for November 2014, using a five-color quantitative scale. The visualization loads regional illness counts from a CSV file and merges them with geographic boundaries from a GeoJSON file. The map is rendered with D3 v3, using its geo path and conic conformal projection APIs, while color encoding is applied via d3.scale.quantize. Hovering over a region reveals its name and the corresponding November case count in a tooltip.

AAlexdef74307
81% match
Loading thumbnail…

Visualization of France's spreading of sickness

A choropleth map of French regions colors each area by the total number of influenza cases reported in November 2014, with a five-color quantized scale ranging from light green to dark green. The visualization uses D3 v3’s `d3.geo.conicConformal` projection and `d3.geo.path` to render the geographic boundaries from a GeoJSON file, while a CSV dataset provides weekly regional sickness counts. Hovering over a region reveals a tooltip with the region’s name and its November total.

AAlexdef74307
81% match
Loading thumbnail…

Visualization of France's spreading of sickness

This visualization maps the spread of influenza across French regions for 2014 using a choropleth map. It shows the total number of sickness cases per region, aggregated from weekly data, with color intensity representing the November case counts. Built with D3 v3, the code loads geographic boundaries from a GeoJSON file and CSV data, projecting regions with `d3.geo.conicConformal`. A quantized color scale encodes values, and a tooltip displays region names and November totals on mouseover.

AAlexdef74307
80% match
Loading thumbnail…

Grippe France 2014

A choropleth map of France displays the annual sum of flu-related medical visits in 2014 across 22 metropolitan regions, using color to indicate case totals. The visualization merges CSV data with GeoJSON regional boundaries, encodes the aggregated year sum into region fill colors, and displays the exact value as text on mouseover. It is built with d3.v4, using `d3.geoConicConformal` with a centered projection, `d3.geoPath` for rendering the map, `d3.scaleLinear` for color mapping (from red to blue over a 0–4500 range), and `d3.mouse` to position the hovered label.

BBaptisteL54
79% match
Loading thumbnail…

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
79% match
Loading thumbnail…

Visualization of France's spreading of sickness 2

This visualization displays the spread of sickness across French regions on a chloropleth map, with a slider to navigate through different weeks. It shows regional infection values as colored areas, with a tooltip revealing the specific region name and its value on hover. The map is rendered using `d3.geoPath` with a conic conformal projection, while the color scale is dynamically updated using `d3.scale.quantize`. Data is loaded asynchronously from both a GeoJSON file for region boundaries and a CSV file containing weekly sickness counts, processed through the `queue()` API.

AAlexdef74307
79% match
Loading thumbnail…

Carte Grippe France

This choropleth map visualizes the total number of flu cases across French administrative regions for 2014, using a blue-to-red linear color scale to indicate intensity. Hovering over a region reveals its name and total case count via a tooltip. Built with D3 v4, the map uses `d3.geoConicConformal` for the projection and `d3.geoPath` to render region boundaries from a GeoJSON file, while the data comes from a CSV sourced from a gist.

CCtuauden
78% match