Geo_map TP

tp4

This interactive choropleth map displays weekly influenza case counts across French regions for 2014. A slider lets users step through each week, updating region colors through a quantile scale. The visualization uses D3 v3 with `d3.geo.conicConformal` for projection, `d3.geo.path` for rendering GeoJSON regions, and a custom tooltip on mouseover. Data comes from the GrippeFrance2014.csv file containing weekly regional counts.

GGregory-Howard

TP_4_v2

A choropleth map of French administrative regions displays weekly influenza case counts for 2014. A slider updates the displayed week, recoloring each region with a quantized green color scale, and hovering reveals a tooltip with the region name and count. The visualization uses D3 v4 with `d3.geoConicConformal` for projection, `d3.geoPath` for rendering, and loads region boundaries from `france.json` alongside case data from `GrippeFrance2014.csv`.

HHakkahi

TP4.2-grippe-france_FORK

A choropleth map of French regions displays influenza case counts per week from 2003 to 2015, with a slider to step through time and hover tooltips revealing regional names and values. The visualization loads CSV data and a GeoJSON outline, using `d3.geo.conicConformal` for projection, `d3.geo.path` for rendering, and a `d3.scale.quantile` color scale to encode intensity. Regions without data appear gray.

BBrunoDumas

TP_4

A choropleth map of metropolitan France displays weekly influenza case counts by region for 2014, with a slider to navigate through the year. The visualization uses d3.geoConicConformal for map projection and d3.geoPath to render regional boundaries, with fill colors assigned via d3.scaleQuantize. A hover tooltip shows the region name and case value. Data comes from the GrippeFrance2014.csv file, which is merged with the france.json GeoJSON structure.

HHakkahi

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

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

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

[DataViz] TP4 Bonus

A choropleth map of French regions colors each region according to weekly influenza case counts from GrippeFrance2014.csv, with a slider to navigate through the 52 weeks of 2014. The visualization uses d3.geoConicConformal projection and d3.geoPath to render the regions, with fill colors assigned by a d3.scaleQuantize based on each region's yearly sum. A tooltip showing the region name appears on hover via mouseover events.

AAminaSGitHub