Gist 5fd28a5383eb7254b2ac93e71b7d357d

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.

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 8451fca4f10e880b32066b08ca934d3b

This choropleth map of French regions visualizes the total number of reported influenza cases for November 2014, coloring each region on a green scale from light to dark based on case counts. The visualization uses d3.geo.conicConformal projection and d3.geo.path to render the GeoJSON map, while a d3.scale.quantize maps data values to colors. Hovering over a region displays its name and case count via a tooltip. The data aggregates weekly flu statistics from the GrippeFrance2014.csv file specifically for the month of November.

Gist bfc4fc4700e3d19007fa079cdb68d18a

A choropleth map of France shows the incidence of influenza across 22 regions for a five-week period in late 2014, with darker green fills marking higher case counts. The visualization merges weekly case data from a CSV file with regional boundaries from a GeoJSON file, using a conic conformal projection to render the map. Color values are assigned via `d3.scale.quantize()`, and interactive tooltips display the region name and summed case total on mouseover. The code relies on D3.js v3 for geospatial paths, data loading, and event handling.

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.

Gist 557a7c0474a7c20c0723b9ab166c105b

A choropleth map of French regions shows the cumulative reported influenza cases for November 2014, using a five-color quantize scale from green to dark green on a light gray base. The map is rendered with d3.v3’s geo path and a conic conformal projection, loading region boundaries from a GeoJSON file and joining them with CSV data. Hovering over a region displays a tooltip with its name and total case count for that period.

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

Gist 54a166aa937d8a64735d56db883dcc33

This example shows weekly influenza rates across French regions in 2014 on a choropleth map. A slider lets viewers scrub through the 52 weeks, updating the map’s color encoding and a displayed date label. The visualization loads region boundaries from `regions.geojson` and health data from `GrippeFrance2014.csv` using `queue()` and `d3.csv`. It projects the map with `d3.geo.conicConformal`, draws paths via `d3.geo.path`, and applies a `d3.scale.quantize` color scale based on the global minimum and maximum case counts.