Fork of Suicide Rates 11/17/2021
This bubble map and time-series visualization depicts global suicide rates using data from a curated CSV of suicide statistics and a world cities dataset that provides geographic coordinates. The map, rendered with `d3.geoPath` and a `geoNaturalEarth1` projection, shows each data point as a circle with an area scaled to suicide count via a square-root scale. The interactive histogram below, built with `d3.scaleTime`, `d3.scaleLinear`, and a brush filter, lets users select a date range, dynamically filtering which bubble markers appear on the map. Tooltips, styled with Tippy.js, display additional details like country, GDP, and population for each location.
AI-generated descriptionDataset:
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