Fork of Migrant Deaths Linked Views with Fast Brushing

Fork of Migrant Deaths Linked Views with Fast Brushing

This interactive visualization combines a world map of migrant deaths with a linked time-series histogram, enabling rapid filtering through brushing. The map uses a natural Earth projection with `d3.geoPath` to render country boundaries and graticules, while circles sized by `d3.scaleSqrt` represent the total dead and missing per location. The histogram aggregates monthly totals using `d3.bin` and `d3.timeMonths`, with a `d3.brushX` selection that instantly filters the map’s displayed data. Built with React hooks and D3 v5, it renders in SVG from a subset of the Missing Migrants Global dataset.

Cchar0496

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 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 shows migrant deaths and missing persons on a world map, with a linked time-series histogram below. Brushing a time range in the histogram filters the map’s bubble radii, which encode total dead and missing counts per location. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries, graticules, and spheres from TopoJSON data, while React’s `useMemo` and `useEffect` manage efficient rendering. The histogram is built with `d3.bin`, `d3.scaleTime`, and `d3.brushX` for interactive filtering.

KKirsten Lund

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 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

Fork of Migrant Deaths Linked Views with Fast Brushing

This interactive visualization links a world map of migrant deaths with a time-series histogram, filtering the map’s bubbles by brushing over dates. Built with React and D3 v5, it uses `geoNaturalEarth1` and `geoPath` for the map, `scaleSqrt` for bubble sizes, and `brushX` to select date ranges. The scatterplot-like map marks cities with circles whose radii reflect total dead and missing, while the histogram bars aggregate monthly totals. Data comes from the Missing Migrants Project subset, with country boundaries from World Atlas TopoJSON, and rendering uses SVG with `useMemo` for performance.

Mmuwu16