Migrant Deaths Linked Views with Brushing

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.

97% match

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

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 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 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

Migrant Deaths Linked Views with Brushing

This example presents a linked-view visualization of migrant deaths using a world map and a time-series histogram. A bubble map shows the geographic distribution of fatalities, while a brushed date histogram filters the map to show data within a selected time range. The visualization uses React with `useMemo` for performance optimization, D3 v5 for map projection (`geoNaturalEarth1`), geographic paths (`geoPath`), and scales (`scaleSqrt`, `scaleTime`), as well as `brushX` for interactive brushing. Data is loaded from a CSV dataset, and country boundaries come from World Atlas TopoJSON.

Migrant Deaths Linked Views with Brushing

This visualization combines a world map and a timeline to explore migrant deaths, with brushing linking the two views. The map displays circles sized by the total dead and missing per location using a square-root scale, while the histogram aggregates deaths by month. A brush on the histogram filters the map to show only data within the selected date range. The code uses React, D3 v5 APIs including `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `scaleTime`, `bin`, `brushX`, and TopoJSON for world atlas boundaries.

Ssafdarawan

95% match