Skip to main content
SimilarExport ZIP
100%

Migrant Deaths Linked Views with Fast Brushing

✓ Published0🌍 Public
ZZG
Last edited Oct 29, 2020
Created on Oct 29, 2020

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.

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

An interactive world map displays migrant deaths by location with bubble size proportional to total dead and missing. A linked time-series histogram below allows brushing to filter the map to a date range. The visualization uses React with D3 v5, including `geoNaturalEarth1` and `geoPath` for the map, `scaleSqrt` for bubbles, and `brushX` for the brushing interaction. Data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

Mmorjyooo
97% 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
97% 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 Brushing

This interactive visualization shows migrant deaths and missing persons over time and location on a world map. A histogram at the bottom displays the total dead and missing by month, with a brushable time range that dynamically filters the bubbles on the map above. Built with React, it uses D3’s `geoNaturalEarth1` projection, `scaleSqrt` for bubble sizing, and `brushX` for range selection. Data comes from the Missing Migrants Global dataset; country boundaries use the world-atlas TopoJSON.

AAbubakr Khabebulloev
96% match
Loading thumbnail…

Migrant Deaths Linked Views with Fast Brushing

A world map displays migrant deaths by location, with circle size proportional to the total dead and missing. A linked time-series histogram below shows monthly death totals and supports brush selection, filtering the map to show only deaths within the selected date range. The visualization uses React with D3 v5, including `geoNaturalEarth1` and `geoPath` for map rendering, `brushX` for interactive filtering, and `scaleSqrt` for circle sizing. Data comes from a CSV of Missing Migrants records, with country boundaries from World Atlas TopoJSON.

Jjwlam83
96% match
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 Brushing

A world map plots migrant deaths by location, with circle size proportional to the number of dead and missing. A time-series histogram below shows the deaths aggregated by month, and brushing a time range filters the map to only show incidents within that period. Built with React, the visualization uses d3.geoNaturalEarth1 and d3.geoPath for map projections, d3.scaleSqrt for bubble sizing, and d3.brushX for interactive temporal selection. Data comes from the Missing Migrants Project CSV, with country boundaries from the World Atlas TopoJSON.

ZZarak
96% match
Loading thumbnail…

Migrant Deaths Linked Views with Brushing

A world map plots migrant deaths by location, with circle size proportional to the number of dead and missing. A time-series histogram below shows the deaths aggregated by month, and brushing a time range filters the map to only show incidents within that period. Built with React, the visualization uses d3.geoNaturalEarth1 and d3.geoPath for map projections, d3.scaleSqrt for bubble sizing, and d3.brushX for interactive temporal selection. Data comes from the Missing Migrants Project CSV, with country boundaries from the World Atlas TopoJSON.

ZZarak
96% match