RegionalFlu

Gist 960f7a5e5dc4379bb2921d2e8b252bb5

This example visualizes influenza rates across French regions from 2003 to 2014, using a choropleth map that updates with a slider to show weekly data over time. The map uses `d3.geo.conicConformal` projection and `d3.geo.path` to render the regions, with region colors determined by a `d3.scale.quantize` color scale applied to the flu case counts from the CSV data. A tooltip displays the region name and value on mouse hover, and a legend indicates the color scale for the data range.

90% 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.

89% match

Gist e98de21095e9f9f84be064c579fab3cf

This interactive choropleth map displays weekly influenza rates across French regions from 2003 to 2015. A slider lets the user step through each epidemiological week, recoloring the map using a quantized color scale based on the global minimum and maximum incidence values. The visualization uses d3.v3, specifically the d3.geo.conicConformal projection and d3.geo.path to render the regions from a GeoJSON file, while CSV data is joined to region names. Hovering a region highlights it by reducing opacity and shows a tooltip with details. The color legend displays the numeric range for each color bin.

NNaram22

89% match

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

Gist ee039347749f9d1984f2a1447ac322fd

A choropleth map of French regions colors each region by its total reported flu cases during 2014, using a quantized color scale from light to dark green. Hovering a region displays its name in a tooltip. The visualization merges weekly incidence data from a CSV file with regional boundaries from a GeoJSON file using D3.js v3, rendering the map with `d3.geo.conicConformal` and `d3.geo.path`.

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.

Gist 4f4141677ee48d1b9c4fcaaab824ccbf

This map visualizes the cumulative 2014 influenza case counts for each French administrative region. A choropleth uses a quantized color scale to show the sum across all monitored weeks, with a slider to interactively explore individual weekly data. The visualization merges CSV data with GeoJSON boundaries, rendering them using D3’s `d3.geo.path` with a conic conformal projection. Hovering a region highlights it, turns it red, and displays its name and total in a tooltip.

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.