Missing Migrants (part 5) : Multiple Views cleanup

Missing Migrants multiple views

This visualization presents data on missing migrants through two coordinated views. A world map uses circles scaled by the square root of the count of dead and missing individuals, projecting geographic coordinates with `d3.geoNaturalEarth1` and `d3.geoPath`. A time-series histogram below displays the monthly sum of deaths, binned using `d3.histogram` with `d3.timeMonths` thresholds, using `d3.scaleTime` and `d3.scaleLinear` for axes. The data comes from the Missing Migrants Project, and the React-based build relies on `d3.json` and `topojson` features.

Wwindwaver

Missing Migrants - Multiple Views

This interactive visualization combines two coordinated views of missing migrant incidents. A world map uses a natural Earth projection with graticules to display incident locations, with circle sizes scaled by the square root of deaths and missing persons. Below, a time-series histogram bins reported dates into monthly intervals, summing the total dead and missing per month. The map is rendered using d3.geoPath and d3.geoNaturalEarth1, while the histogram leverages d3.bin, d3.scaleTime, and d3.scaleLinear. Data comes from the Missing Migrants Project CSV, loaded with d3.csv, with geographic boundaries from world-atlas TopoJSON.

PPeter Krevenets

Missing Migrants Multiple Views

This visualization combines a world map and a time-series bar chart to explore data on missing migrants. The map uses d3.geoNaturalEarth1 and d3.geoPath to render landmasses, with circle sizes scaled by the square root of the total dead and missing count. The histogram below aggregates monthly totals using d3.bin and d3.sum, with axes from custom React components. Both views share the same dataset, loaded via d3.csv from a subset of the Missing Migrants Project.

RRMartins11

Missing Migrants with Multiple Views

This interactive visualization presents data on missing migrants through two linked views. A world map displays the geographic distribution of deaths and disappearances using proportional circles, with bubble size scaled according to the total count per location. Below, a time-based histogram aggregates the same data by month, showing the cumulative number of missing migrants over time. Both views use D3 v5 with React, employing `geoNaturalEarth1` projection for the map, `scaleSqrt` for circle sizing, and `histogram` binning for the temporal view. The data comes from CSV files loaded via `d3.csv`, with the map drawing from World Atlas TopoJSON.

Ppnlinyz

34. Missing Migrants Multiple Views

This visualization combines a world map with a time-series bar chart to display data on missing migrants. The map uses a natural Earth projection with sized circles to show total deaths and missing persons by location, while the histogram aggregates the same metric by reported date. Built with React and D3 v5, the example employs `geoNaturalEarth1` for projection, `scaleSqrt` for circle sizing, and `bin` with `timeMonths` thresholds for the histogram. Data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

PPrashish Paudel

Missing Migrants Multiple Views

This interactive visualization presents missing migrant incidents on a world map with proportional bubbles, alongside a time-series histogram of monthly deaths. The React-based interface renders geographic data using `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule`, with bubble sizes scaled via `d3.scaleSqrt`. The histogram bins reported dates by month using `d3.histogram` and `d3.timeMonths`. Both views display data from a CSV of Missing Migrants Project records, loaded with `d3.csv` and overlaid on a World Atlas TopoJSON basemap.

Jjwlam83

Analyzing Missing Migrants Part V - Multiple Views Cleanup

This interactive visualization combines a geographic bubble map with a time-series histogram to analyze missing migrant incidents. The map projects data points using d3.geoNaturalEarth1 and d3.geoPath, with circle sizes scaled by total dead and missing via d3.scaleSqrt. The histogram bins reported dates into monthly intervals using d3.bin and d3.timeMonths, summing fatalities per bin. Both views share the same dataset from the Missing Migrants Project, rendered as SVG within a React framework using d3.v6 and TopoJSON world atlas boundaries.

WWolfgang

Missing Migrants: Multiple Views

This visualization displays global migrant mortality events using two coordinated views: a natural Earth projection bubble map and a time-series histogram. The map positions each event as a semi-transparent circle scaled by the square root of the total dead and missing, while the histogram aggregates monthly totals. Both views use React and D3 v5, with `d3.geoNaturalEarth1` and `d3.geoPath` for map rendering and `d3.histogram` for binning. Data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

RRiccardo De Lucia