Fork of AIDS distribution Choropleth

100%

Fork of AIDS distribution Choropleth

✓ Published0🌍 Public

Last edited Apr 6, 2021

Created on Apr 6, 2021

Forked from AIDS distribution Choropleth

This choropleth displays the distribution of HIV/AIDS prevalence among adults aged 15–49 for the year 2017, using a sequential yellow-orange-red color scale to encode infection rates across countries. The map renders with the Natural Earth projection through `d3.geoNaturalEarth1` and `d3.geoPath`, including graticules and interior boundaries. Data comes from an IHME CSV file, joined to country shapes via ISO codes. Missing values appear in gray, while React manages the component state and SVG rendering.

AI-generated description

Scatter Plot with time series data. All date and time data needs to follow (ISO 8601) time and date formatting for proper plotting. [https://en.wikipedia.org/wiki/ISO_8601].

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes HIV/AIDS prevalence among adults aged 15–49 for the year 2017, using a sequential yellow-orange-red color scale to encode infection rates across countries. Built with React and D3 v5, it renders an SVG using `geoNaturalEarth1` projection and `geoPath` for country polygons, graticules, and interior boundaries. Country codes are matched via a CSV lookup to join data from the IHME dataset, with missing countries shown in gray. Data loads asynchronously through custom hooks, and the map updates based on the selected year.

Hhongshuyan99@outlook.com

96% match

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

This choropleth map displays the global prevalence of HIV/AIDS among adults aged 15-49 in 2017, using a yellow-orange-red sequential color scale to indicate the percentage of the population infected. Countries lacking data appear in gray. The visualization leverages D3's `geoNaturalEarth1` projection, `geoPath`, and `geoGraticule` for rendering, with country boundaries sourced from the world-atlas TopoJSON. React manages the interface, while the data originates from an IHME CSV file, mapping each country via its numeric code.

AAliaksandr

95% 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

95% match

Loading thumbnail…

Fork of Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15-49 in 2017, with countries shaded from light yellow to dark red based on infection rates. The visualization uses React to render SVG paths, with d3.geoNaturalEarth1 for map projection, d3.geoPath for drawing country boundaries and graticules, and d3.scaleSequential with an interpolateYlOrRd color scale. Country codes are matched against World Atlas TopoJSON features, and missing data appears in gray. Data comes from the IHME HIV prevalence dataset.

Aandychai07

95% match

Loading thumbnail…

Fork of HIV/AIDS Choropleth Map

A choropleth map of global HIV/AIDS prevalence among adults aged 15–49 in 2017. Country colors encode prevalence using a sequential yellow-orange-red scale, with missing data shown in gray. Built with React and D3 v5, the map uses `geoNaturalEarth1` and `geoPath` for the projection, while country boundaries and graticules come from World Atlas TopoJSON. HIV prevalence data originates from the IHME dataset on GitHub, joined to country codes via the ISO-3166 CSV.

MMatthew Talty Colvard

95% 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

95% 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

95% 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. 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.

Vvigneswaran009

95% match