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Last edited Nov 16, 2021

Created on Nov 16, 2021

This interactive visualization combines a world map of suicide counts with a linked time-series histogram. Circles on a natural Earth projection encode suicide numbers by area, colored by category, with tooltips revealing country-specific details. A brushable histogram below filters the map by year, updating the displayed bubbles. The visualization uses React, D3 v5 modules like `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, and `brushX`, rendering to SVG. Data comes from a CSV of suicide rates merged with city coordinates.

AI-generated description

Dataset:

I use this dataset to extract the latitude, longitude, and country A world map showing cities with a population greater than 50,000then align it with my dataset about Suicide Rates.

Jupyter notebook

In this version. I created a Jupyter notebook file to GitHub that solved my issue when there was no file including latitude, longitude, and country.Jupyter notebook_GitHub.

Iterated work

The project is in GitHub

MIT Licensed

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