Visualization of France's spreading of sickness 2

100%

Visualization of France's spreading of sickness 2

✓ Published0🌍 Public

Last edited Dec 8, 2016

Created on Dec 1, 2016

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.

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/Alexdef74307/'>Alexdef74307</a>'s block: <a href='http://bl.ocks.org/Alexdef74307/e38285b509fd27433704863c3b6bb8a9'>Visualization of France's spreading of sickness</a>

forked from <a href='http://bl.ocks.org/Alexdef74307/'>Alexdef74307</a>'s block: <a href='http://bl.ocks.org/Alexdef74307/778ba08b3b0a933a0aea388a81669af1'>Visualization of France's spreading of sickness</a>

forked from <a href='http://bl.ocks.org/Alexdef74307/'>Alexdef74307</a>'s block: <a href='http://bl.ocks.org/Alexdef74307/9590ac0ec9bd7aa7f5a5e1ff72ae6f6f'>Visualization of France's spreading of sickness</a>

mit Licensed

Similar vizzes

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

92% 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

92% 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

91% 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

85% match

Loading thumbnail…

geographic

A choropleth map of France animates through 52 weeks of 2014, showing the incidence of flu cases by region. A slider lets the user scrub through time, and hovering over a region reveals its name. The visualization uses D3 v4 to load a GeoJSON of French regions and a CSV of weekly case counts, with `d3.geoConicConformal` and `d3.geoPath` drawing the map and a quantized color scale encoding case numbers.

AAubret

84% 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

84% match

Loading thumbnail…

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

84% 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

84% match