Fork of HIV/AIDS Choropleth Map

100%

Fork of HIV/AIDS Choropleth Map

✓ Published0🌍 Public

Last edited May 15, 2021

Created on May 15, 2021

This choropleth map visualizes the share of the population infected with HIV/AIDS for the year 2017, using a yellow-orange-red sequential color scale. Country boundaries and graticules are rendered as SVG paths via `d3.geoPath` and `geoNaturalEarth1`, with React managing the component structure. Data comes from an IHME CSV, joined to country geometries using ISO numeric codes. The visualization is a fork of a prior example, adapting city population data to HIV prevalence rates.

AI-generated description

A world map showing cities with population greater than 50,000. City data from Simplemaps: World Cities Database.

Country boundaries from World Atlas TopoJSON, polished for visual style, including graticules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes the share of the population infected with HIV/AIDS for the year 2017, using a yellow-orange-red sequential color scale to encode prevalence rates. Countries without data appear in gray. The map is rendered with SVG paths generated by d3.geoPath and the geoNaturalEarth1 projection, with graticules and country boundaries drawn from World Atlas TopoJSON data. The visualization is built in React, fetching CSV data via d3.csv and mapping ISO country codes to numeric identifiers for joining with the geographic features.

Eevers-codeshop-ai

97% match

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes the share of the population infected with HIV/AIDS in 2017, using a yellow-orange-red sequential color scale to encode prevalence values. Countries missing data appear gray. The map is rendered as SVG using React, with D3’s `geoNaturalEarth1` projection, `geoPath` for country boundaries, and `geoGraticule` for the graticules. The data is loaded from a CSV of HIV prevalence estimates via D3’s `csv` function, while country geometries come from the World Atlas TopoJSON.

Oonceup

97% match

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes the share of the population infected with HIV/AIDS for the year 2017, using a yellow-orange-red sequential color scale to show prevalence across countries. The visualization renders a natural Earth projection with graticules and country boundaries via `d3.geoNaturalEarth1` and `d3.geoPath`, with missing data marked in gray. Built with React and D3 v5, it joins country codes from the ISO-3166 dataset to HIV prevalence data from the IHME, displaying the result as an SVG.

SSahar Ejaz

97% match

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes the share of the population infected with HIV/AIDS for the year 2017, using a yellow-orange-red sequential color scale. Countries without data are rendered in gray, and the map includes graticules and interior boundaries for context. The visualization loads country geometries from the World Atlas TopoJSON and HIV prevalence data from a CSV file, joining them via ISO country codes. It uses d3’s `geoNaturalEarth1` projection, `geoPath`, and `geoGraticule`, with React managing the SVG rendering.

Aandychai07

97% match

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes the share of the population infected with HIV/AIDS for the year 2017, using a yellow-orange-red sequential color scale. It renders world countries as SVG paths via d3.geoPath with a natural Earth projection, styling graticules and interiors for reference. The chart is built with React and d3.v5, loading country geometries from World Atlas TopoJSON and HIV prevalence data from the IHME CSV. The code maps alpha-3 codes to numeric country codes to join the datasets, and countries with missing data appear in gray.

YYedrup

97% match

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes the global share of the population infected with HIV/AIDS for the year 2017, using a yellow-orange-red sequential color scale to represent prevalence rates. Countries lacking data are rendered in gray. The visualization is built with React and D3 v5, using `d3.geoNaturalEarth1` and `d3.geoPath` to project and draw country boundaries from the World Atlas TopoJSON, complemented by graticules and sphere paths. Data is sourced from a CSV file detailing HIV prevalence by country.

NNIKHIL MOHAN

96% match

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes the share of the population infected with HIV/AIDS in 2017 across world countries, using a yellow-orange-red sequential color scale to encode prevalence rates. Countries missing data appear gray. The visualization uses React for component structure, D3 v5 for map projection and data loading, and SVG rendering with a Natural Earth projection and graticules. Data comes from an IHME CSV dataset, joined to country geometries from World Atlas TopoJSON via ISO country codes.

Cchar0496

96% match

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

A choropleth map displays the share of the population infected with HIV/AIDS for 2017, using a yellow-to-red sequential color scale. The visualization uses the Natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries, graticules, and a sphere. Data from the IHME is merged with ISO country codes via `d3.csv`. Missing countries appear gray. The map is built with React and D3 v5, rendering as SVG with `scaleSequential` and `interpolateYlOrRd` for color encoding.

KKeyvan Rezaei

96% match