test

100%

✓ Published0🌍 Public

Last edited Dec 6, 2016

Created on Dec 6, 2016

A choropleth map of French regions displays influenza rates from 2003 to 2015. A slider controls the week, updating the map's color scale and a tooltip showing the region's name and infection value when hovered. The visualization uses D3 v3, loading GeoJSON region boundaries and CSV data asynchronously with the `d3-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/JeremyBesson/'>JeremyBesson</a>'s block: <a href='http://bl.ocks.org/JeremyBesson/8582ee58d33be0f1020dd0185070183d'></a>

forked from <a href='http://bl.ocks.org/JeremyBesson/'>JeremyBesson</a>'s block: <a href='http://bl.ocks.org/JeremyBesson/0f253d3b64d2b3ae6f515bf3da05b4fb'>tp5</a>

mit Licensed

Similar vizzes

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

89% match

Loading thumbnail…

Gist 114b7db11f7173d0ddc4f44d2c0ea687

A choropleth map displays weekly influenza case counts across French regions for 2014, with a slider to navigate through time and a tooltip showing region names and values. The visualization merges CSV data with GeoJSON region boundaries using `d3.csv` and `d3.json`, and renders the map with `d3.geo.conicConformal` and `d3.geo.path`. A quantize color scale encodes case totals, while `queue()` loads the data files asynchronously before processing.

MMarineRu

88% match

Loading thumbnail…

tp5

This interactive choropleth map displays weekly influenza rates across French regions from 2003 to 2014. A slider animates through the weeks, updating region colors based on a quantile scale. The visualization uses `d3.geo.conicConformal` for projection, `d3.geo.path` for rendering, and loads regional data from a GeoJSON file while merging CSV values from GrippeFrance2003-15.csv. Hovering over a region reveals a tooltip with its name and the weekly value.

JJeremyBesson

88% match

Loading thumbnail…

DataVizTP4

This interactive choropleth map visualizes weekly influenza case counts across French administrative regions for the year 2014. A slider lets users scrub through 52 weeks, updating the region colors in real time using a quantized color scale. The visualization loads CSV data and GeoJSON boundaries, projecting the map with `d3.geoConicConformal` and rendering shapes via `d3.geoPath`. Hovering over a region reveals its name and the week’s count through a tooltip, colored according to a five-step green gradient.

KKylaste

86% 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

86% 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

86% 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

86% match

Loading thumbnail…

A map of Influenza in France

A choropleth map of metropolitan France displays regional influenza case counts across 52 weeks in 2014. A slider selects a week, and the map updates color fills using `d3.scaleQuantize` with `d3.geoPath` and a conic conformal projection. Hovering a region shows a tooltip with its name and weekly count. The code loads CSV data and merges it with GeoJSON regions, summing weekly values per region.

CCharlesGaydon

85% match