V3_tp4_DataViz_V3

100%

V3_tp4_DataViz_V3

✓ Published0🌍 Public

Last edited Nov 30, 2017

Created on Nov 30, 2017

This visualization is a choropleth map of France showing influenza cases across administrative regions. It displays the spread and intensity of the disease over time, with a slider allowing viewers to step through weekly data. The map uses a five-color sequential scale, from light green to dark green, to represent the number of reported cases. The visualization is built with D3.js v3, using `d3.geo` for map projection and path rendering. It reads geographic data from a GeoJSON file (`region.txt`) and time-series data from CSV files (`GrippeFrance2014.csv`). A `d3.scale.threshold` maps case counts to colors.

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/aurelient/'>aurelient</a>'s block: <a href='http://bl.ocks.org/aurelient/5bb9210591eb86882612a2002faab698'></a>

forked from <a href='http://bl.ocks.org/ibtimoussi/'>ibtimoussi</a>'s block: <a href='http://bl.ocks.org/ibtimoussi/bbda65e96a343e9a362fe8ad76ce899e'></a>

forked from <a href='http://bl.ocks.org/ibtimoussi/'>ibtimoussi</a>'s block: <a href='http://bl.ocks.org/ibtimoussi/7be157c8e0c228653e0ff209e790d1c2'></a>

mit Licensed

Similar vizzes

Loading thumbnail…

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

90% match

Loading thumbnail…

DataViz - TP5

This interactive choropleth map visualizes the spread of influenza (grippe) across French regions over time. Data from a CSV file is joined with geographic regions from a GeoJSON file, and a slider allows users to step through weekly data points, updating the map's fill colors and a tooltip that shows the region name and value for that week. The visualization is built with D3 v3, using `d3.geo.conicConformal()` for the map projection and `d3.json` and `d3.csv` for data loading. A quantized color scale maps the range of reported cases to a blue color gradient.

AAllyaenn

90% match

Loading thumbnail…

DataViz - TP4

A choropleth map of metropolitan France shows the cumulative number of influenza cases per administrative region during November 2014. The visualization uses D3 v3 with a `d3.geo.conicConformal` projection and `d3.geo.path` to render GeoJSON region boundaries. A `d3.scale.quantize` color scale maps aggregated case counts from the CSV data to shades of green and blue, while a custom tooltip displays the region name and total value on hover.

AAllyaenn

89% match

Loading thumbnail…

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

89% match

Loading thumbnail…

[DataViz] TP4 Bonus

This interactive choropleth map shows the weekly incidence of influenza across French administrative regions for 2014. A slider allows the viewer to navigate through the 52 weeks of the dataset, updating the map’s color scale and region values. The visualization uses D3 v4 with `d3.geoConicConformal` for the map projection, `d3.geoPath` for rendering the GeoJSON polygons, and a quantitative color scale from green to dark green. Data is loaded from a CSV file and merged with regional geometry, while a tooltip reveals the exact weekly count on hover.

AAminaSGitHub

89% 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

89% 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

88% match

Loading thumbnail…

Gist baa4df6da9fa4834e074874f5bf4dbb4

A choropleth map of France shows aggregated influenza cases per region for a one-week period in November 2014, with a green sequential color scale ranging from light to dark based on case counts. Built with D3 v4, the visualization merges weekly CSV data with a GeoJSON map of French regions. It uses `d3.geoConicConformal` for projection and `d3.geoPath` to render region boundaries, while a tooltip displays region names and exact case totals on mouseover.

CChaf1A

88% match