Skip to main content
SimilarExport ZIP
100%

Migrant Deaths Linked Views with Brushing

✓ Published0🌍 Public
SSophia Murage
Last edited Apr 10, 2020
Created on Apr 10, 2020

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.

AI-generated description

The final installment from the online course Datavis 2020.

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 Brushing

This example uses linked views to explore migrant deaths. A world map displays circles scaled by the total dead and missing, sized with a square root scale. A time-series histogram below shows monthly death counts, with a brushing tool to select a date range. Brushing filters the map to show only data within that period. The visualization is built with React and D3, using `d3.geoPath` for the map, `d3.scaleTime`, `d3.histogram`, and `d3.brushX` for brushing. Data comes from the Missing Migrants Project, and the map uses Natural Earth land outlines and graticules.

XXiaoleiGuo
96% 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
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
Loading thumbnail…

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
96% match
Loading thumbnail…

Migrant Deaths Linked Views with Brushing

This visualization presents migrant deaths and missing persons with two linked views: a world map with scaled circles for total deaths and a brushing-enabled time histogram. Users brush over the monthly histogram to filter the map’s circles to show only incidents within that date range. The map uses `geoNaturalEarth1` projection with `geoPath` and `geoGraticule`, while the histogram aggregates data with `d3.histogram` and `brushX`. Circle radii are set with `scaleSqrt`, and React’s `useMemo` optimizes rendering. Data comes from a CSV of reported incidents.

SSarahKiyani
96% match
Loading thumbnail…

Migrant Deaths Linked Views with 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 number of dead and missing, using d3.geoNaturalEarth1 and d3.geoPath for geographic rendering. Users brush across the histogram’s time axis to filter the map, linked through React state. The histogram uses d3.bin, scaleTime, and brushX. Data comes from a CSV of Missing Migrants Global events, with country boundaries from World Atlas TopoJSON.

Nnkohdatavis
96% match
Loading thumbnail…

Migrant Deaths Linked Views with Brushing

The visualization depicts migrant deaths and missing persons through a world map of proportional circles, paired with a time-series histogram of monthly totals. Brushing a date range in the histogram filters the map circles to show only incidents within that period, using linked views. The map uses `d3.geoPath` with a Natural Earth projection for landmasses and graticules, while the histogram employs `d3.scaleTime`, `d3.brushX`, and `d3.bin`. Data comes from the Missing Migrants Project, with React’s `useMemo` optimizing performance.

PPabloEscargot
96% match