Grippe en France With Slider

Grippe en France With Slider modified

A choropleth map of French regions visualizes the total reported influenza cases across five weeks in late 2014 (November 2–30). A range slider updates the map, and hovering over a region triggers a tooltip showing the region’s name and its summed case value. The visualization uses the d3.v3 library with the `d3.geo` path projection and a quantize color scale to encode the values. Data comes from the provided `grippe.csv` and region geometries from `regions.json`.

95% match

Slider grippe en France Modified

A choropleth map of French regions visualizes weekly influenza case counts from a CSV file, with region colors encoded via a quantized color scale. A slider control updates the displayed week, while hovering reveals the region name and aggregated case value in a tooltip. The visualization uses d3.v3 for map projection, SVG path rendering, and data binding, with JSON geographic data providing region boundaries. The code also calculates global minimum and maximum values from the dataset to define the color domain.

93% match

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.

90% match

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

Grippe en France

This map of mainland France displays weekly regional influenza case counts for 2014, with each region’s color encoding the five-week total centered on late November. Users hover over a region to see its name and aggregated value in a tooltip. The visualization uses D3 v3 with a conicConformal projection and `d3.geo.path` to draw the GeoJSON regions, while a quantize scale maps the summed data from the `grippe.csv` file to a sequential color ramp. Missing regions render in gray.

Grippe France 2014

A choropleth map of France displays the annual sum of flu-related medical visits in 2014 across 22 metropolitan regions, using color to indicate case totals. The visualization merges CSV data with GeoJSON regional boundaries, encodes the aggregated year sum into region fill colors, and displays the exact value as text on mouseover. It is built with d3.v4, using `d3.geoConicConformal` with a centered projection, `d3.geoPath` for rendering the map, `d3.scaleLinear` for color mapping (from red to blue over a 0–4500 range), and `d3.mouse` to position the hovered label.

BBaptisteL54

Grippe France 2014

A choropleth map of French regions shows the total number of reported flu cases in 2014, with a linear red-to-blue color scale encoding case counts from zero to 3,000. The visualization uses D3 v4 with `d3.geoConicConformal` for projection and `d3.geoPath` to render region boundaries. Data from a CSV is merged with geographic features from a GeoJSON file, and hovering over a region displays its total via appended SVG text.

BBaptisteL54