Fork of Multiple Views Cleanup

Fork of Multiple Views Cleanup

This interactive visualization combines a bubble map and a date histogram to explore the global distribution of missing migrants. The map uses D3's geoNaturalEarth1 projection and geoPath to render world landmasses, graticules, and circles sized by the square root of the death toll. The histogram uses D3's scaleTime, bin, and timeMonths to aggregate reports by month. Both views are built with React and SVG, drawing from a CSV of missing migrant incidents.

RRoberto

Fork of Multiple Views Cleanup

This example combines a bubble map with a time-series histogram to visualize migrant deaths and disappearances worldwide. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries and graticules, with circle sizes scaled by `d3.scaleSqrt`. A synchronized date histogram below aggregates monthly totals using `d3.histogram` and `d3.timeMonths`. Both views render as SVG within a React component, pulling data from a CSV of missing migrants and world-atlas TopoJSON boundaries.

Hhuizrh

Fork of Multiple Views Cleanup

This example presents a global view of missing migrant incidents, combining a geographic bubble map with a time-based histogram. The map uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render landmasses, graticules, and spheres, with circle radii scaled by the square root of death counts (`d3.scaleSqrt`). The histogram bins incident dates into monthly intervals using `d3.histogram` and `d3.timeMonths`, summing fatalities per bin with `d3.sum`. Both views render as SVG within a React framework, sourcing city data from a CSV and world boundaries from TopoJSON.

Cchar0496

Fork of Multiple Views Cleanup

This visualization combines a world map with a time-series histogram to display data on migrant deaths and missing persons. The map uses a Natural Earth projection with graticules, country boundaries, and location points sized proportionally to the reported deaths. The histogram below aggregates the same data over time, using `d3.bin` with monthly thresholds. Both views are rendered as SVG within a React application, using D3 v5's `geoPath`, `scaleSqrt`, `scaleTime`, and `scaleLinear` APIs. The underlying dataset is a CSV of global migrant incidents, processed with `d3.csv`.

Kkyuyoshida

Fork of Multiple Views Cleanup

This interactive visualization combines a world map of migration incidents with a time-series histogram. The map uses a natural Earth projection with graticules to display circles scaled by the total dead and missing, while the histogram below shows the same metric aggregated by month. Built with React and D3 v5, it uses `geoNaturalEarth1` and `geoPath` for the map, `scaleSqrt` for circle sizing, and `bin` with `timeMonths` for the histogram. Data comes from the Missing Migrants Global dataset.

TToonysg

Fork of Multiple Views Cleanup

This visualization combines a world bubble map with a time-series histogram to explore migrant deaths and disappearances. The map projects city coordinates using `d3.geoNaturalEarth1` and `d3.geoPath`, with circle sizes scaled by `d3.scaleSqrt`. The histogram bins reported dates by month using `d3.histogram` and `d3.timeMonths`, summing deaths per bin. Data comes from the Missing Migrants Project CSV, while country boundaries use TopoJSON from World Atlas. The React components render SVG with D3 scales and axes.

EEdgar Alves

Fork of Multiple Views Cleanup

This visualization combines a bubble map and a date histogram to show migrant deaths and disappearances. The map uses `geoNaturalEarth1` and `geoPath` to render world boundaries with circles scaled by `scaleSqrt`, while the histogram bins reported dates with `d3.histogram` and sums death counts per month. Data comes from the Missing Migrants Project CSV, loaded via `d3.csv`. Both views are rendered as SVG within a React app using `d3.scaleTime` and `d3.scaleLinear`.

Cchar0496

Fork of Multiple Views Cleanup

This example overlays a bubble map with a date histogram to show the geographic distribution and monthly totals of dead and missing migrants. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render land, graticules, and interiors, with circles scaled by `d3.scaleSqrt`. The histogram, created with `d3.histogram` and `d3.timeMonths`, sums values per month. Both views are built with React, rendered as SVG, and styled with a teal color scheme. Data comes from the Missing Migrants Project CSV.

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