HIV/AIDS choropleth map

100%

HIV/AIDS choropleth map

✓ Published0🌍 Public

Last edited Apr 12, 2021

Created on Apr 12, 2021

This choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15-49 for the year 2017, with countries shaded on a sequential yellow-to-red color scale based on infection rates. Regions lacking data appear in dark gray. The map uses D3’s `geoNaturalEarth1` projection and `geoPath` to render country boundaries and graticules from World Atlas TopoJSON data. React hooks load the CSV dataset and ISO country codes, while `scaleSequential` with `interpolateYlOrRd` maps prevalence values to fill colors.

AI-generated description

World map loading geometry from World Atlas and city coordinates from csv, with point size based on city population.

MIT Licensed

Similar vizzes

Loading thumbnail…

HIV/AIDS Choropleth Map

This choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15–49 in 2017. Countries are colored on a yellow-to-red sequential scale based on infection rates, with missing data rendered in grey. The visualization uses React to manage state and D3's `geoNaturalEarth1`, `geoPath`, and `geoGraticule` to render the map projection, graticule, and country boundaries from World Atlas TopoJSON data. The color scale is defined with `scaleSequential` and `interpolateYlOrRd`, mapping numeric prevalence values from a CSV file.

SShuyu Zheng

97% match

Loading thumbnail…

HIV/AIDS Choropleth Map

This choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15–49 in 2017, with countries shaded on a yellow-to-red sequential scale based on infection rates. Countries lacking data appear gray. The visualization uses d3.geoPath with a geoNaturalEarth1 projection to render world map features from TopoJSON, while d3.scaleSequential and interpolateYlOrRd map data values to colors. React manages the component state, fetching and joining CSV data with country codes to match each nation’s geographic ID.

KKtuzinowski

97% match

Loading thumbnail…

HIV/AIDS Choropleth Map

A choropleth map shows the global prevalence of HIV/AIDS among adults aged 15-49 for the year 2017, using a yellow-to-red sequential color scale where darker shades indicate higher infection rates. Countries with missing data appear in light gray. The visualization is built with React and D3 v7, using `geoNaturalEarth1` and `geoPath` for map projection, `geoGraticule` for grid lines, and TopoJSON world atlas data. The choropleth applies a `scaleSequential` with `interpolateYlOrRd` to color each country polygon.

KK3zter

97% match

Loading thumbnail…

HIV/AIDS Choropleth Map

This choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15-49 for the year 2017, with each country colored on a yellow-to-red sequential scale based on its infection rate. Countries lacking data are rendered in gray. The map uses a Natural Earth projection with graticule and interior borders, built with React and D3's `geoPath`, `geoNaturalEarth1`, and `geoGraticule` modules. Data is loaded from a CSV file containing IHME prevalence estimates, joined to country codes via ISO-3166 metadata.

JJun Suzuki

97% match

Loading thumbnail…

HIV/AIDS Choropleth Map

A choropleth map visualizes global HIV/AIDS prevalence among adults aged 15-49 in 2017, with countries shaded on a yellow-to-red sequential color scale and missing data highlighted in red. Built with React and D3 v7, it uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries and graticules from TopoJSON world atlas data, while CSV data from IHME is joined to countries via ISO numeric codes. The map employs `d3.scaleSequential` with `interpolateYlOrRd` for color encoding.

JJoe Hutchins

97% match

Loading thumbnail…

HIV/AIDS Choropleth Map

This choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15–49 in 2017, using a yellow-orange-red sequential color scale. The code employs React with D3 v6’s `geoNaturalEarth1` projection and `geoPath` to render SVG country shapes, while `d3.scaleSequential` and `interpolateYlOrRd` map data values to colors. Countries without matching data appear gray, and the map includes graticules and interior borders. Data is sourced from IHME via CSV, with country codes matched using ISO-3166 metadata.

Ssophievanderhorst

97% match

Loading thumbnail…

HIV/AIDS Choropleth Map

A choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15-49 in 2017, with countries colored on a sequential yellow-to-red scale based on infection rates. Missing data renders in gray. Built with React and D3 v6, the map uses `geoNaturalEarth1` and `geoPath` to project world atlas TopoJSON data, while CSV data from the IHME is joined to country codes via a lookup table.

AAmir

97% match

Loading thumbnail…

HIV/AIDS Choropleth Map

This choropleth map shows the global prevalence of HIV/AIDS among adults aged 15–49 in 2017, using a yellow-to-red sequential color scale to indicate infection rates, with missing data rendered in light grey. The visualization loads country geometries from a TopoJSON world atlas and plots them as SVG paths via `d3.geoPath` with an Equal Earth projection. It joins country codes and HIV prevalence data from Our World in Data using React hooks, applying `d3.scaleSequential` and `interpolateYlOrRd` for color encoding.

AAndre J Denais

96% match