Skip to main content
SimilarExport ZIP
100%

Fork of Missing Migrants on a Map

✓ Published0🌍 Public
Wweny1109
Last edited Aug 6, 2023
Created on Aug 6, 2023

This visualization combines a bubble map and a date histogram to explore the Missing Migrants dataset. A world map uses scaled circles to show the total dead and missing for each event, with circle sizes determined by a square-root scale. The lower chart displays monthly totals of dead and missing over time. The project uses React with D3 v5 for data processing and rendering, including `d3.geoNaturalEarth1` for map projections, `d3.geoPath` for drawing geographic features, and `d3.csv` to load the data.

AI-generated description

A world map of the Missing Migrants Dataset.

Each point in the plot represents a single event.

Country boundaries from World Atlas TopoJSON.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Missing Migrants on a Map

This visualization combines a world map with a date histogram to show the geographic distribution and temporal trends of missing migrants. The map uses a bubble chart with circle size scaled by the total number of dead and missing, projected using `d3.geoNaturalEarth1` and rendered with `d3.geoPath`. The histogram bins reported dates by month and aggregates deaths using `d3.bin` and `d3.sum`. Data comes from a CSV of Missing Migrants incidents, with map boundaries from the world-atlas TopoJSON. Both components use React with D3 v7 for scales and SVG rendering.

LLove Wessman
96% match
Loading thumbnail…

Fork of Missing Migrants on a Map

This visualization combines a bubble map and a date histogram to show the geographic distribution and timing of missing migrant events. Each circle on the map represents an event, with its radius scaled by the total number of dead and missing, projected using `d3.geoNaturalEarth1` and drawn with `d3.geoPath`. Below, the histogram aggregates monthly totals from the same dataset. The code uses React for component structure, D3 v5 for scales and geographic rendering, and loads data from a CSV of the Missing Migrants Dataset alongside TopoJSON world atlas boundaries.

AAnkit-Ian-53787
96% match
Loading thumbnail…

Fork of Missing migrants on a Map

This visualization combines a bubble map and a date histogram to show missing migrants globally. The map uses d3.geoNaturalEarth1 projection with d3.geoPath to render world land masses, while circles sized by d3.scaleSqrt represent the total dead and missing per location. The histogram below uses d3.bin and d3.timeMonths to aggregate the same metric by reported date, with axes rendered by custom React components. Data comes from the Missing Migrants Project CSV, loaded via d3.csv, and the world atlas TopoJSON is processed with topojson.feature and topojson.mesh.

Bbsolomon103
95% match
Loading thumbnail…

Fork of Missing Migrants of a map

This visualization combines a bubble map with a time-series histogram to display missing migrant incidents. Migrant deaths and disappearances are plotted as semi-transparent circles on a natural Earth projection using `d3.geoNaturalEarth1` and `d3.geoPath`, with circle size scaled via `d3.scaleSqrt` by total casualties. Below the map, a date histogram aggregates the same data by month, using `d3.bin`, `d3.scaleTime`, and `d3.scaleLinear` to show temporal patterns. The map and chart both render as SVG elements within a React component, pulling data from a Missing Migrants CSV subset and world atlas TopoJSON.

Ssophievanderhorst
94% match
Loading thumbnail…

Fork of Missing Migrants Multiple Views

This visualization combines a bubble map and a date histogram to show missing migrant incidents. The map uses a natural Earth projection with graticules to display circles scaled by the total dead and missing, while the histogram aggregates deaths by month. Both views use React and D3 v5, with the map relying on `geoNaturalEarth1`, `geoPath`, and `scaleSqrt`, and the histogram using `bin` and `scaleTime`. Data comes from a CSV of migrant incidents, with country boundaries from World Atlas TopoJSON.

Cchar0496
94% match
Loading thumbnail…

Fork of Missing Migrants Multiple Views

This visualization presents a fork of the Missing Migrants project, displaying the global distribution and monthly totals of dead and missing migrants. It combines a bubble map with proportional circles positioned using geographic coordinates and a time-series histogram that aggregates reported incidents by month. The implementation uses React alongside D3 v5, employing `geoNaturalEarth1` and `geoPath` for map rendering, `scaleSqrt` for bubble sizing, and `bin()` with `timeMonths` for histogram data grouping. Data is loaded from a CSV of migrant incidents and rendered as SVG.

Aanniedekock1m
94% match
Loading thumbnail…

Fork of Missing Migrants on a Map

This interactive visualization combines a world map and a time-series bar chart to display the global distribution and monthly totals of missing migrants. The map uses D3’s `geoNaturalEarth1` projection with `geoPath` and `geoGraticule` to render landmasses and graticules, while circles sized by square-root scale represent the count of dead and missing per incident. A synchronized date histogram below, built with D3’s `bin` and `timeMonths`, aggregates the same data over time. The chart is rendered as an SVG using React, with data from a CSV of the Missing Migrants Global dataset.

CCodeDuckie99
94% match
Loading thumbnail…

Fork of Missing Migrants Multiple Views

This visualization combines a bubble map and a date histogram to show the total number of dead and missing migrants over time. The map uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries and graticules, with circle sizes scaled by `d3.scaleSqrt` based on migrant counts. The histogram bins reported dates by month using `d3.bin` and `d3.timeMonths`, summing deaths per bin. Both views are built with React components and render to SVG, using data from a CSV subset of the Missing Migrants Global dataset.

FFangfei Zhang
93% match