Analyzing Missing Migrants (Multiple Views)

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

Analyzing Missing Migrants Part IV - Multiple Views (Getting it to Work)

This interactive visualization presents two coordinated views of missing migrant incidents: a world map with proportional circles showing total dead and missing, and a chronological histogram of monthly totals. The map uses d3.geoPath for the Natural Earth projection with graticules, while the histogram applies d3.bin with timeMonths thresholds. React components manage both views within a single SVG. Data comes from the Missing Migrants Project CSV, loaded via d3.csv, with the world atlas from TopoJSON.

WWolfgang

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

Missing Migrants Multiple Views

This visualization displays recorded incidents of missing migrants, combining a world map with a time-series histogram to reveal both geographic and temporal patterns. Proportional circles on the map represent the total number of dead and missing per location, while the histogram aggregates these totals by month. Built with React and D3 v5, the map uses `geoNaturalEarth1` and `geoPath` to render land and graticules, and the histogram uses `histogram` and `timeMonths` for binning. Data comes from the Missing Migrants Project subset CSV.

CChris Briggs

Analyzing missing migrants data by Multiple Views

This interactive visualization explores the Missing Migrants dataset, combining a geographic bubble map with a temporal bar chart. The map uses a natural Earth projection and scales point radii by the square root of the reported death count. The histogram aggregates the same metric by month, enabling comparisons across time. Both views are rendered as SVG using React, with D3 v5 utilities like `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, and `histogram` handling projection, scaling, and binning. World boundaries come from the world-atlas TopoJSON package.

Bblackbottt

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

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

Multiple Views

This interactive visualization combines a world map and a time-series histogram to display missing migrant incidents. The top view uses a natural Earth projection with proportional circles sized by the square root of the reported deaths, while the bottom histogram aggregates the same data by month. Built with React and D3 v7, the example employs d3.geoPath for map rendering, d3.bin for histogram binning, and d3.scaleSqrt for circle sizing. Data comes from a CSV of global missing migrants.

KKai Stewart