Analyzing Missing Migrants Part V - Multiple Views Cleanup

Analyzing Missing Migrants. Part IV Multiple Views

This visualization combines a bubble map and a date histogram to analyze missing migrant statistics. The map uses a square-root scale to size circles by the total dead and missing at each location, projected using D3's `geoNaturalEarth1` and rendered with `geoPath`. The histogram bins reports by month using D3's `bin` and `timeMonths` APIs, summing deaths with `sum`. Both views are created with React components and rendered as SVG, pulling data from a CSV file.

OOleg Zhernovoy

Missing Migrants Multiple Views

This visualization combines a bubble map and a date histogram to explore missing migrant incidents worldwide. The map projects data points using d3.geoNaturalEarth1 and d3.geoPath, with circle radii scaled by d3.scaleSqrt based on the total number of dead and missing. The histogram aggregates incidents by month using d3.bin and d3.timeMonths, summing fatalities per bin. Both views render as SVG within a React framework, pulling data from the Missing Migrants Project CSV and world-atlas TopoJSON.

Rrstrauss127

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

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

Analyzing Missing Migrants (Multiple Views)

This interactive visualization combines a world map and a time-series histogram to analyze migrant deaths and disappearances. The map uses a natural Earth projection to plot circles scaled by the total dead and missing, while the histogram aggregates these counts by reported month. Built with React and D3 v5, it employs `d3.geoNaturalEarth1` and `d3.geoPath` for map rendering, `d3.histogram` and `d3.timeMonths` for temporal binning, and `d3.scaleSqrt` for proportional circle sizing. Data comes from a CSV of missing migrants, with country boundaries from World Atlas TopoJSON.

WWaseem Medhat

Missing Migrants Multiple Views & Cleanup

This visualization combines a bubble map and a time-series histogram to show the global distribution and monthly trends of missing migrants. The map uses d3.geoNaturalEarth1 and d3.geoPath to render world landmasses, with circle sizes scaled by the square root of the “Total Dead and Missing” count per location. The histogram bins reported dates by month using d3.bin and timeMonths, summing fatalities per bin, with axes drawn via d3.scaleTime and d3.scaleLinear. Both views render as SVG within a React app, pulling data from a CSV of Missing Migrants Global Figures.

JJoe Hutchins

Analyzing Missing Migrants. Part V Multiple Views. Cleanup

This example presents a dual-view dashboard of missing migrant statistics. A natural Earth projection bubble map displays the spatial distribution of total dead and missing individuals, with circle sizes scaled using d3.scaleSqrt. Below, a d3.bin-based date histogram aggregates monthly totals, rendered as SVG rectangles. Both views use React components and d3.geoPath for map rendering, sourced from CSV data and a TopoJSON world atlas.

OOleg Zhernovoy

Multiple View Missing Migrant

This visualization combines a bubble map and a date histogram to explore missing migrant incidents. The map uses a d3-geo naturalEarth1 projection with graticules and country borders, sizing circles by total dead and missing via d3.scaleSqrt. The histogram bins reported dates by month using d3.histogram and sums fatalities per bin. Both views render as SVG in React, with data from the Missing Migrants CSV and world atlas TopoJSON.

AAnthony Ynami