Fork of Migrant Deaths Linked Views with Fast Brushing

Fork of Migrant Deaths Linked Views with Fast Brushing

This interactive visualization links a world map of migrant deaths with a time-series histogram. The map uses a natural Earth projection and circles sized by the total dead and missing, while brushing the histogram filters the map's data. Built with React and D3 v5, it uses `geoNaturalEarth1`, `scaleSqrt`, `bin`, and `brushX` for linked brushing. The underlying data comes from the Missing Migrants Project, and the map includes land, graticule, and interior boundaries from the World Atlas TopoJSON.

AAnthony Zornig

Fork of Migrant Deaths Linked Views with Fast Brushing origin

This interactive visualization links a world map of migrant deaths with a time-series histogram, enabling users to brush over time to filter the map by date range. The map uses a natural Earth projection with proportional circle sizes based on total dead and missing, while the histogram aggregates monthly totals. Built with React and D3 v5, it employs `geoNaturalEarth1`, `geoPath`, `brushX`, and `scaleSqrt` for rendering and interaction. Data comes from the Missing Migrants Project CSV and World Atlas TopoJSON.

AAbdullah Al Munem

Fork of Migrant Deaths Linked Views with Fast Brushing

This visualization combines a world map of migrant deaths with a linked time-series histogram. The map shows circles sized by the total dead and missing, while the histogram displays monthly totals. Users can brush over the histogram to filter the map’s circles to the selected date range. Built with React and D3 v5, the visualization uses `geoNaturalEarth1` and `geoPath` for the map, `scaleSqrt` for circle sizing, and `brushX` for interactive filtering. Data comes from the Missing Migrants Project, and the code leverages `useMemo` for performance optimization.

Llfting96

Fork of Migrant Deaths Linked Views with Fast Brushing

Llfting96

Fork of Migrant Deaths Linked Views with Fast Brushing

This visualization combines a world map with a linked time-series histogram to explore migrant deaths and missing persons. The map displays circles sized by the total dead and missing per location, while the histogram shows monthly totals, with a brushable selection filtering the map in real time. Built with React and D3 v5, it uses `geoNaturalEarth1` and `geoPath` for map rendering and `brushX` for interactive filtering. Data comes from the Missing Migrants Global dataset, with country boundaries from World Atlas TopoJSON.

PPiotr Paszek

Fork of Migrant Deaths Linked Views with Fast Brushing

This interactive visualization links a world map of migrant deaths with a brushable time-series histogram, enabling filtering by date range. The map uses d3.geoNaturalEarth1 projection, d3.geoPath, and TopoJSON world atlas data, with bubble sizes scaled by total dead and missing via d3.scaleSqrt. The histogram aggregates monthly totals using d3.bin and d3.sum, while React’s useMemo and a d3.brushX selection provide fast linked brushing. Data comes from a CSV of Missing Migrants Global records.

KKamal Bahadur Rana

Fork of Migrant Deaths Linked Views with Fast Brushing

This interactive visualization combines a world map and a time-series histogram to explore migrant deaths. The map displays circles sized by the number of dead and missing migrants, while the histogram shows monthly totals. Users can brush over the histogram to filter the map’s circles dynamically. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` for geographic rendering, while the histogram employs `d3.brushX` and `d3.bin` for aggregation. React’s `useMemo` optimizes rendering performance. Data comes from the Missing Migrants Project CSV.

Bbigstonecompany

Fork of Migrant Deaths Linked Views with Fast Brushing

This visualization combines a world map of migrant deaths with a time-series histogram, enabling linked brushing to filter events by date. The map uses a natural Earth projection with scaled circles, while the histogram aggregates monthly death tolls. Built with React and D3 v5, it employs `d3.geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `brushX`, and reusable components. Data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

Ggzm17