Skip to main content
SimilarExport ZIP
100%

Migrant Deaths Linked Views with Fast Brushing

✓ Published105🌍 Public
CCurran Kelleher
Last edited Oct 9, 2025
Created on Oct 16, 2019

This interactive visualization combines a world map with a time-series histogram to explore migrant deaths and missing persons. Brushing on the histogram filters the map’s circles in real time, showing incidents within the selected date range. The map uses a natural Earth projection via d3.geoNaturalEarth1, while the histogram bins monthly totals with d3.histogram and handles brushing through d3.brushX. React’s useMemo optimizes rendering, and data comes from the Missing Migrants Project CSV, loaded with d3.csv.

AI-generated description

A world map showing cities with population greater than 50,000. City data from Simplemaps: World Cities Database.

Country boundaries from World Atlas TopoJSON, polished for visual style, including graticules.

This iteration is optimized for performance using React's useMemo hook.

MIT Licensed

Similar vizzes

Loading thumbnail…

Migrant Deaths Linked Views with Fast Brushing

This visualization combines a world map with a time-series histogram to explore migrant deaths reported between 2014 and 2019. The map displays circles sized by the total dead and missing, while the histogram sums the same metric by month. Brushing on the histogram filters the map’s circles to show only data within the selected date range. The visualization uses React for state management and rendering, alongside D3 APIs such as `geoNaturalEarth1` for projection, `geoPath` for map geometry, `scaleSqrt` for circle sizing, `bin` for histogram creation, and `brushX` for the interactive linking between views. Data comes from the Missing Migrants Project.

AAbdul Salam Almadani
96% match
Loading thumbnail…

Migrant Deaths Linked Views with Fast Brushing

This visualization combines a world map of migrant deaths with a brushed time-series histogram to explore the data through linked views. The map displays circles sized by the total dead and missing, while the histogram shows monthly totals; brushing a time range filters the map’s circles dynamically. The implementation uses React with `useMemo` for performance, D3 v5 APIs including `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `brushX`, and `bin` histogram, and renders to SVG. Data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

ZZhiheng Zhang
96% match
Loading thumbnail…

Migrant Deaths Linked Views with Fast Brushing

This visualization combines a world map of migrant deaths with a linked brushable time-series histogram. The map uses a Natural Earth projection with circles sized by the total number of dead or missing migrants, while the histogram aggregates monthly totals. Brushing the histogram filters the map in real time via React state. The code employs d3.geoNaturalEarth1, d3.geoPath, d3.scaleSqrt, d3.brushX, and d3.bin, with data from the Missing Migrants Project and country boundaries from World Atlas TopoJSON, all rendered as SVG.

Nnadia-el
96% match
Loading thumbnail…

Migrant Deaths Linked Views with Fast Brushing

This interactive visualization combines a bubble map and a date histogram to explore migrant deaths worldwide. The map displays circles sized by the total dead and missing count, while the histogram shows the same data binned by reported date. Users brush along the histogram’s time axis to filter the map’s circles in real time, using a `brushX` interaction that updates React state. Built with React and D3 v5, it uses `geoNaturalEarth1` projection, `geoPath`, and `scaleSqrt` for sizing, with data from the Missing Migrants Project.

TTatyana Milanova
96% match
Loading thumbnail…

Migrant Deaths Linked Views with Fast Brushing

This interactive visualization combines a natural Earth projection world map with a time-series histogram to explore migrant deaths in 2019. The map displays bubbles sized by the total dead and missing, while the histogram aggregates the same data by month. A brush on the histogram filters the map in real-time, highlighting events within the selected date range. Built with React and D3 v5, the code uses `geoNaturalEarth1`, `geoPath`, `geoGraticule`, `scaleSqrt`, and `brushX` for the brushing interaction. Data comes from the Missing Migrants Project, and the map utilizes the World Atlas TopoJSON for country boundaries.

ZZG
96% match
Loading thumbnail…

Fork of Migrant Deaths Linked Views with Fast Brushing

This interactive visualization combines a world map and time-series histogram to explore migrant deaths and disappearances. The map displays circles sized by total dead and missing using a square-root scale, while the histogram shows monthly totals. Brushing the histogram filters the map’s circles in real time via React state and d3.brushX. The map uses d3.geoNaturalEarth1, d3.geoPath, and graticules from the World Atlas TopoJSON, with data from the Missing Migrants Project. React’s useMemo optimizes rendering of both static geographic features and dynamic data updates.

Hhenry c
95% match
Loading thumbnail…

Migrant Deaths Linked Views with Fast Brushing

This visualization combines a world bubble map and a time-series histogram to explore migrant deaths, with linked views enabling fast brushing. The map plots circles scaled by death counts per location using a natural Earth projection via `d3.geoPath`, while the histogram aggregates monthly totals using `d3.histogram` and a brush from `d3.brushX` filters the map in real time. React’s `useMemo` optimizes rendering, and data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

MMatthew Brammall
95% match
Loading thumbnail…

Migrant Deaths Linked Views with Brushing

This visualization links a world map of migrant deaths with a time-series histogram, using brushing to filter data across both views. The map displays circles sized by the total dead and missing, while the histogram shows monthly totals, with brush selection updating the map's highlighted points. Built with React and D3 v5, it uses d3.geoNaturalEarth1 and d3.geoPath for the map, d3.scaleSqrt for circle sizing, and d3.brushX for interactive filtering. Data comes from the Missing Migrants Project, with country boundaries from World Atlas TopoJSON.

NNikhil
95% match