tp5

100%

✓ Published0🌍 Public

Last edited Dec 6, 2016

Created on Dec 1, 2016

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.

AI-generated description

Built with blockbuilder.org

forked from <a href='http://bl.ocks.org/aurelient/'>aurelient</a>'s block: <a href='http://bl.ocks.org/aurelient/28e33c4fc0e1944df0ea72fe554b490c'></a>

forked from <a href='http://bl.ocks.org/JeremyBesson/'>JeremyBesson</a>'s block: <a href='http://bl.ocks.org/JeremyBesson/8582ee58d33be0f1020dd0185070183d'></a>

mit Licensed

Similar vizzes

Loading thumbnail…

tp5

This interactive map of French regions displays influenza rates over time, with a slider that lets users step through weekly data from 2003 to 2014. The choropleth colors each region according to the current week’s value, using a quantile color scale. Tooltips reveal the region name and exact rate on hover. The code uses D3 v3’s `d3.geo.conicConformal` projection and `d3.geo.path` for rendering, while the data comes from CSV files of regional flu surveillance statistics.

GGregory-Howard

95% match

Loading thumbnail…

tp5

A choropleth map of French regions animates weekly influenza case counts from 2003 to 2014, with a slider to scrub through time. The map uses a D3 conic conformal projection and a quantile color scale applied to region polygons derived from a GeoJSON file. The data comes from a CSV file loaded with d3.csv, and the visualization updates region fills and tooltips via a d3 slider input.

GGregory-Howard

94% 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

93% match

Loading thumbnail…

TP5

A choropleth map of French regions displays weekly influenza case counts from 2003 to 2015, with a slider to scrub through time and a tooltip showing the region name and value on hover. The visualization loads GeoJSON and CSV data asynchronously using `queue().defer`, projects the map with `d3.geo.conicConformal`, draws regions via `d3.geo.path`, and colors each region using a quantile scale applied to the weekly count.

MMarineRu

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

91% match

Loading thumbnail…

TP4 suite 3

An animated choropleth map of France displays weekly influenza case counts across regions from 2003 to 2015. A time slider lets users scrub through the weeks, updating each region’s fill color using a threshold color scale. The visualization uses D3 v3 with `d3.geo.conicConformal` for projection, `d3.geo.path` for rendering GeoJSON regions, and `queue()` for loading CSV and GeoJSON data. Hovering over a region reveals its name and current value via a tooltip.

LLaippe

91% match

Loading thumbnail…

TP4 suite 2

This interactive choropleth maps weekly influenza case counts across French regions from 2003 to 2015. A slider animates through the 100 weeks, updating the fill color of each region based on a threshold color scale. The visualization uses `d3.geo.path()` with a conic conformal projection to render the GeoJSON regions. Tooltips reveal regional names and values on hover. Data comes from CSV files containing weekly case numbers per region, merged with the GeoJSON geometry within the `processData` function.

LLaippe

91% match

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

91% match