mapProjection

100%

✓ Published0🌍 Public

Last edited Feb 2, 2018

Created on Feb 2, 2018

This visualization uses a choropleth map of French regions to show the weekly incidence of influenza-like illness during 2014, as recorded in the GrippeFrance2014.csv dataset. Regions are colored on a sequential scale based on the number of reported cases per 100,000 inhabitants, with darker shades indicating higher counts. Hovering over a region displays its name and the weekly values in a tooltip. The map projection is implemented with D3 v4, and the color encoding is derived from the region-specific data across the 52 weeks of the year.

AI-generated description

Built with blockbuilder.org

forked from <a href='http://bl.ocks.org/aurelient/'>aurelient</a>'s block: <a href='http://bl.ocks.org/aurelient/28e33c4fc0e1944df0ea72fe554b490c'></a>

forked from <a href='http://bl.ocks.org/aurelient/'>aurelient</a>'s block: <a href='http://bl.ocks.org/aurelient/5bb9210591eb86882612a2002faab698'></a>

mit Licensed

Similar vizzes

Loading thumbnail…

Grippe

This visualization maps the weekly incidence of influenza across French regions in 2014 using a choropleth. Hovering over a region displays its name and the number of cases for that week, while a date slider or brush allows users to move through the year. The map encodes intensity through color, making it easy to see the seasonal spike in flu cases during the winter months and the geographic variation across regions. The data is sourced from a CSV file with one row per region and columns for each week, plus a yearly total. The visualization is built with D3 v4 and uses a color scale to represent case counts, with a tooltip for detail on hover.

Aadurivault

89% match

Loading thumbnail…

DataViz-tp4

This choropleth map of French metropolitan regions visualizes the weekly incidence of influenza-like illness across 52 weeks of 2014, using a green sequential color scale where darker shades indicate higher case counts. The visualization is driven by a slider that lets users scrub through epidemiological weeks, updating both the map fills and a text label showing the current week. Built with D3 v4, the code merges CSV data from the GrippeFrance2014 dataset with GeoJSON region boundaries, then uses `d3.geoConicConformal` for projection and `d3.geoPath` to render the shapes. A hover tooltip displays the region name and its corresponding value for the selected week.

BBkilian971

88% match

Loading thumbnail…

geo-map

This visualization maps the weekly incidence of influenza-like illnesses across 22 French regions in 2014, using a choropleth overlaid on a geographic map of metropolitan France. The data, from the GrippeFrance2014.csv file, records weekly case counts from January through December, with a cumulative yearly total per region. The map is rendered as an SVG using D3 v4, with region boundaries drawn as paths. Color intensity on each region encodes the value for the selected week, and a date slider or control allows viewers to step through the 52 weeks, revealing the temporal spread and intensity of flu activity across the country.

Aanouar009

88% match

Loading thumbnail…

FranceGrippe2014

An interactive choropleth map of French regions shows weekly influenza case counts for 2014, with a slider allowing users to step through the year’s 52 weeks. A color scale from light to dark green encodes case numbers per region, while a tooltip reveals the exact value on hover. The visualization uses D3 v4’s `d3.geoConicConformal` projection, `d3.geoPath`, and `d3.scaleQuantize`, loading regional boundaries from `regions.json` and case data from `GrippeFrance2014.csv`. A second red-to-white scale colors region borders.

AAlsaxian

88% match

Loading thumbnail…

Grippe en France 2014

This visualization shows the spread of influenza across French regions for the year 2014, using a choropleth map where each region's color intensity corresponds to the weekly reported case count. A slider at the top allows the user to step through each week of the year, updating the map’s fill colors and displaying the specific week’s date. The map is rendered using D3.js (v3) with a conic conformal projection, and the color scale is defined by `d3.scale.quantize()`. The code loads geographic and CSV data asynchronously via the `queue()` and `defer` methods.

MMohamedZaki

87% match

Loading thumbnail…

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.

NNpfn

86% match

Loading thumbnail…

Gist 768c27ad0050241b5e9d1d8b4b1149ca

A choropleth map of French regions displays the weekly incidence of influenza cases from 2003 to 2015. A slider lets users scrub through the time series, updating region colors from a linear scale spanning green to dark red. The map is rendered with D3’s `d3.geo.conicConformal` projection and `d3.geo.path`, while the slider’s `input` event triggers redrawing of the paths. Data comes from CSV files with weekly counts per region, loaded asynchronously via `d3.queue`, and a tooltip shows the exact value on hover.

MMaximeGehin

86% match

Loading thumbnail…

tp_grippe

This visualization shows weekly influenza case counts across French regions during 2014, using a choropleth map colored by intensity and a slider to animate through the 52 weeks of the year. The map is rendered with `d3.geoPath` and a `d3.geoConicConformal` projection, with a quantize color scale applied to the weekly values. Mouseover tooltips display each region’s name and case count for the selected week. The data comes from a CSV file, and the region geometries are loaded from a GeoJSON file.

TTanguideCrevoisier

86% match