Migrant Deaths Linked Views with Brushing

Migrant Deaths Linked Views with Brushing

This example shows migrant deaths worldwide with a bubble map and a linked time-series histogram. The map plots circles scaled by deaths per location, while the histogram displays monthly totals, with brushing on the histogram filtering the map's data. The visualization uses React with d3.v5 APIs including `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `brushX`, and CSV data from a data-journalism repository.

Migrant Deaths Linked Views with Brushing

This interactive visualization links a bubble map of migrant deaths with a brushing-enabled histogram. The map plots circles sized by total dead and missing using a square-root scale, while the histogram aggregates monthly totals. Users brush the time axis to filter the map to corresponding dates. The code uses React, D3 v5 APIs like `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `brushX`, and `histogram`, with data from a CSV hosted on GitHub and world boundaries from TopoJSON.

Migrant Deaths Linked Views with Brushing

This interactive visualization uses a world map and a time-series histogram to explore migrant deaths. A linked brushing interface in the date histogram filters the bubble map, which uses `d3.geoNaturalEarth1` and `d3.geoPath` to render circle sizes proportional to deaths. The histogram bins data by month using `d3.histogram` and `brushX`. Data comes from the Missing Migrants Project, with country boundaries from World Atlas TopoJSON. React's `useMemo` optimizes rendering of the SVG marks.

Nnkohdatavis

Migrant Deaths Linked Views with Brushing

This visualization links a geographic bubble map of migrant deaths with a time-series histogram, using brushing to filter data across both views. The map plots circles sized by the "Total Dead and Missing" count, while the histogram aggregates deaths by reported date. Selecting a time range in the histogram filters the map to show only incidents within that period. The implementation uses React with `useMemo` for performance, D3 v5 APIs including `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `scaleTime`, `histogram`, and `brushX`, and renders as an SVG with data from a CSV and world-atlas TopoJSON.

Migrant Deaths Linked Views with Brushing

This visualization displays migrant deaths worldwide, with a bubble map showing the total dead and missing per location alongside a linked time series histogram. Users brush the date histogram to filter the map’s circles, revealing how fatalities vary over time. Built with React and d3.v5, it uses `d3.geoNaturalEarth1` and `d3.geoPath` for the map, `d3.scaleSqrt` for circle sizing, and `d3.brushX` to coordinate the linked views. Data comes from a CSV of migrant death records with country boundaries from World Atlas TopoJSON.

Migrant Deaths Linked Views with Brushing

Linked views with brushing show migrant deaths on a world map and a time-series histogram of monthly totals. Brushing a time range on the histogram filters the map’s bubble markers to show deaths within that period. The map uses d3.geoNaturalEarth1 and d3.geoPath for country boundaries and graticules, while circle size encodes death counts via d3.scaleSqrt. The histogram uses d3.bin, d3.brushX, and React’s useMemo for performance. Data comes from the Missing Migrants Project subset CSV.

SSophia Murage

Migrant Deaths Linked Views with Brushing

A world map displays migrant deaths by city, with circle size proportional to the total dead and missing. A date histogram below shows the temporal distribution of these deaths, and users can brush over a time range to filter the map to only show cities with deaths in that period. The visualization uses React with D3 v5, employing `d3.geoNaturalEarth1` and `d3.geoPath` for the map, `d3.scaleSqrt` for circle sizing, and `d3.brushX` for interactive selection. Data comes from a CSV of migrant deaths, and country boundaries are rendered from the World Atlas TopoJSON.

Kkemee

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