Fork of HIV/AIDS Choropleth Map

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

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

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

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 color scale to represent prevalence rates. Countries with missing data are rendered in gray. The visualization employs a Natural Earth projection via `geoNaturalEarth1`, with country boundaries and graticules drawn using `geoPath` and `geoGraticule`. Built with React and D3 v5, it loads country shapes from the World Atlas TopoJSON and HIV prevalence data from a CSV file.

EElena Momtcheva

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

Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes the prevalence of HIV/AIDS across countries for the year 2017, using a yellow-to-red sequential color scale to represent infection rates. Countries with missing data appear gray. Built with React, the visualization uses d3.geoPath with a Natural Earth projection to render country boundaries from World Atlas TopoJSON, while graticules and interiors provide geographic context. Data is loaded from an IHME CSV dataset via d3.csv, with ISO country codes matched to geographic features.

Mmengdong

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

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