Gist 960f7a5e5dc4379bb2921d2e8b252bb5

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.

94% match

Gist df3049cee654f94fee785b0655c7554f

This visualization shows the spread of influenza across French regions from 2003 to 2015, with a choropleth map colored by weekly case counts. A slider lets viewers scrub through time, updating the map and a label showing the current week. The code uses `d3.geo.conicConformal` for the map projection, a `d3.scale.quantize` color scale, and `queue()` to load both `regions.geojson` and the CSV dataset. Hovering over a region triggers a tooltip, and a legend displays the color-to-value ranges.

NNaram22

92% 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

92% match

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.

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

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 95be29fb7fdeb0cae9833f205f3325ba

A choropleth map of France visualizes the cumulative 2014 influenza case counts (somme2014) for each region, with a color scale ranging from light green to dark green. The map is rendered using D3.js version 3, employing the `d3.geo.path` and `d3.geo.conicConformal` projection to draw the geographic regions from a GeoJSON file. Regional data from a CSV is joined with the map features, and hover interactions display the region name via a tooltip while highlighting the region in red.