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DataViz Project - Third Visualization - Mental Illness Choropleth Map

✓ Published2🌍 Public
FFelipe Mejías
Last edited Nov 1, 2020
Created on Oct 20, 2020

This choropleth map visualizes the percentage of each country’s population affected by mental illness in 2017, highlighting geographical disparities and enabling comparisons across regions. Built with React and D3 v5, it uses `geoNaturalEarth1` and `geoPath` to render country boundaries and graticules, while a `scaleSequential` with `interpolatePuBu` encodes data values as color intensity. Country codes are mapped to numeric identifiers via CSV data, and missing values appear in black. The map is interactive through SVG tooltips showing country names.

AI-generated description

This visualization was constructed using the D3 & React.

The idea behind this visualization is to analyze how the percentage of the world population that suffers from a mental illness has varied over the years. In this case, a Choropleth map allows me to better analyze the change in the percentage of the world population over the years, and allows me to answer questions such as:

Questions I wanted to answer with this visualization

  • How has the percentage of mental diseases in each country changed over time?
  • Has there been a decrease in people with mental illnesses, or rather an increase?

The data used in this visualization can be found here:

MIT Licensed

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