Skip to main content
SimilarExport ZIP
100%

TP_4

✓ Published0🌍 Public
HHakkahi
Last edited Dec 7, 2017
Created on Nov 30, 2017

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.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

Loading thumbnail…

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
96% match
Loading thumbnail…

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
95% match
Loading thumbnail…

TP4

The visualization is a choropleth map of France showing the cumulative number of influenza cases per region for November 2014. A geographic projection renders each French region as a colored path, with a five-color quantized scale mapping the summed weekly values. The map, built with D3 v3, uses `d3.geo.conicConformal` for projection and `d3.geo.path` for drawing, while a mouseover tooltip displays the region name and its computed total. Data comes from the CSV file `GrippeFrance2014.csv`, with values merged into the GeoJSON features.

CChmits
94% match
Loading thumbnail…

TP4

A choropleth map of France displays regional influenza consultation data for 2014, with each region colored on a green sequential scale according to weekly or monthly case counts. The visualization uses D3 v4 with `d3.geoConicConformal`, `d3.geoPath`, and `d3.scaleQuantize` to render SVG paths from the `regionsFrance.json` GeoJSON file, while a CSV file provides the data. Hovering over a region reveals a tooltip with its value.

EElisaDnr
94% match
Loading thumbnail…

[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
93% match
Loading thumbnail…

TP4

A choropleth map of France displays the cumulative seasonal count of influenza cases for each region in 2014, colored from white to green on a linear scale. The visualization loads regional data from a CSV file and geographic boundaries from a GeoJSON file, then merges them. It uses `d3.geoConicConformal` and `d3.geoPath` to draw the regions, while a D3 linear scale with an HCL interpolation maps the summed yearly values to the color range. Hovering over a region reveals its name via a tooltip.

AAlxClt
93% match
Loading thumbnail…

TP4

This choropleth map displays the cumulative number of influenza cases across French regions for the weeks of November 2014. Each region is colored on a five-step green scale, with darker shades indicating higher totals, and hover tooltips reveal exact values. The visualization merges CSV data with geographic boundaries using D3’s `d3.geo.path` with a conic conformal projection, while `d3.scale.quantize` maps data values to the color range. The code also demonstrates layering multiple GeoJSON loads and integrating mouse events for interactive detail.

CChmits
93% match
Loading thumbnail…

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
93% match