Skip to main content
SimilarExport ZIP
100%

Migrant Deaths Linked Views with Brushing

✓ Published0🌍 Public
SSam
Last edited Apr 26, 2020
Created on Apr 26, 2020

This interactive visualization combines a world map of migrant deaths with a linked time-series histogram. Users brush over the date histogram to filter the map’s bubble marks, which encode the total dead and missing per location. The map uses `d3.geoNaturalEarth1` with `d3.geoPath` for land, graticules, and interiors, while the histogram uses `d3.brushX` and `d3.bin`. React hooks like `useMemo` manage scales and filtered data, with data sourced from a CSV of missing migrants.

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 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
97% 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 world bubble map with a time-series histogram to explore migrant deaths and disappearances. Users can brush a time range in the histogram to filter which incidents appear on the map, linking the two views. The map uses a natural Earth projection via `d3.geoPath`, with circle radii scaled by the square root of the death count. The histogram aggregates monthly totals using `d3.bin`, and brushing is implemented with `d3.brushX`. Data comes from the Missing Migrants Project CSV, rendered with React and SVG.

HHwl98
96% match
Loading thumbnail…

Migrant Deaths Linked Views with Brushing

This visualization combines a bubble map and a linked time-series histogram to explore migrant deaths worldwide. Users brush the histogram to filter which incidents appear on the map, with the map rendering circles sized by the total dead and missing count for each location. The histogram aggregates data into monthly bins using `d3.bin` and `timeMonths`, while the map uses `geoNaturalEarth1` and `geoPath` to draw country boundaries and graticules. Data comes from a CSV of Missing Migrants incidents, with geographic coordinates projected onto the SVG via React components.

Rramkalahasthy
96% match
Loading thumbnail…

Migrant Deaths Linked Views with Brushing

This visualization combines a bubble map and a linked time-series histogram to explore migrant deaths worldwide. Users brush the histogram to filter which incidents appear on the map, with the map rendering circles sized by the total dead and missing count for each location. The histogram aggregates data into monthly bins using `d3.bin` and `timeMonths`, while the map uses `geoNaturalEarth1` and `geoPath` to draw country boundaries and graticules. Data comes from a CSV of Missing Migrants incidents, with geographic coordinates projected onto the SVG via React components.

Rramkalahasthy
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

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

This interactive visualization combines a bubble map and a brushing-linked date histogram to explore migrant deaths recorded in 2019. The map uses a natural Earth projection with `d3.geoPath` to render country boundaries and graticules, while circle size encodes the total dead and missing per location. The histogram aggregates deaths by month using `d3.bin` and `d3.timeMonths`. Users can brush over the time axis with `d3.brushX`, filtering the map’s circles to show only incidents within the selected date range. Data comes from a CSV of the Missing Migrants Project, rendered as SVG with React’s `useMemo` for performance.

NNikhil
96% match