A world map showing cities with a population greater than 50,000

Fork of Suicide Rates 11/17/2021

This dashboard visualizes global suicide rates with a natural Earth projection map where circles represent suicide counts per country, colored by a categorical scale. A linked time-series histogram below the map allows brushing to filter the map by year range. The visualization uses d3.geoNaturalEarth1 and d3.geoPath for the map, d3.scaleSqrt for circle sizing, and d3.brushX for interactive filtering. Tooltips via Tippy.js display country, GDP, suicide count, and population. Data comes from a CSV of suicide rates merged with world city coordinates.

90% match

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.

89% match

Suicide Rates 11/17/2021

This interactive visualization maps global suicide rates using a bubble map, where circle size encodes the number of suicides per country and color distinguishes categories. A linked time-series histogram below allows brushing to filter the map by year. The project uses React, D3 v5 (including `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, and `brushX`), and Tippy.js tooltips. Data comes from a CSV of suicide rates merged with city coordinates, rendered as SVG over a world atlas TopoJSON.

89% match

Fork of Fork of Fork of Suicide Rates 11/17/2021

This interactive dashboard combines a world bubble map with a time-series histogram to explore suicide rates. The map uses `d3.geoNaturalEarth1` and `geoPath` to render landmasses, with circle sizes scaled via `d3.scaleSqrt` to suicide counts, and Tippy tooltips to reveal country, GDP, and population details. A linked `d3.brushX` histogram filters the map’s data by year, while separate small multiples and a sex-based histogram supplement the view. Data is loaded from CSV files via `d3.csv` and world topology from TopoJSON.

88% match

Worldwide Suicide Map with Two Menu and Tooltips

This interactive world map visualizes suicide data from the World Health Organization, plotting circles at each country's coordinates. Users can select a specific year or view the most recent available data through dropdown menus, and a second menu highlights a chosen country in red. The visualization uses d3.geoPath with a d3.geoNaturalEarth1 projection to render land masses and graticules, while d3.scaleSqrt scales circle radii. Tooltips display the country name, year, and suicide count. The React application loads CSV suicide statistics and TopoJSON world atlas boundaries.

Ss-janibekova

Fork of Suicide Rates

A choropleth bubble map overlaid on a natural Earth projection displays global suicide counts by location, with circle size proportional to the number of suicides. A linked time-series histogram below shows monthly totals, and brushing a time range filters the map’s circles in real time. The visualization uses React, d3.geoPath for map rendering, d3.scaleSqrt for bubble sizing, and d3.brushX for interactive time filtering. Data combines World Cities coordinates with a Suicide Rates dataset processed through a Jupyter notebook.

Ddasari234

Worldwide Suicide Map Multi-views

This interactive visualization combines a world bubble map and a horizontal bar chart to explore global suicide rates from 1979 to 2016. Users select a year and country via dropdown menus, which highlights the chosen country on the map while the bar chart updates to show the top 15 countries with the highest suicide numbers for that year. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` for geographic projections, with circles sized via `d3.scaleSqrt`. The bar chart is rendered with React and `d3.scaleBand`, both featuring tooltips for detailed data. The visualization sources suicide data from a CSV and country boundaries from the World Atlas TopoJSON.

CChen Ding

Worldwide Suicide Map with Two Menu and Tooltips

This interactive world map visualizes global suicide rates from 1979 to 2016 using data from the World Health Organization. Two dropdown menus allow users to select a specific year and highlight a particular country, with circles sized by suicide count via d3.scaleSqrt and colored distinctly for the highlighted nation. The visualization uses d3.geoNaturalEarth1 and d3.geoPath for the map projection and rendering, while React manages the interface state and d3-tip provides tooltips displaying country, year, and suicide number on hover.

CChen Ding