Fork of Missing Migrants Multiple Views

100%

Fork of Missing Migrants Multiple Views

✓ Published0🌍 Public

Last edited Mar 11, 2022

Created on Mar 11, 2022

Forked from Missing Migrants Multiple Views

This visualization combines a natural Earth projection map with a time-series histogram to display migrant deaths and disappearances. D3.geoPath renders world landmasses and graticules, while scaled circles using d3.scaleSqrt represent casualty counts by location. The accompanying d3.histogram bins reported dates into monthly intervals, with bar heights reflecting aggregated totals. Both views share React-managed data from a Missing Migrants CSV, updating simultaneously through a single interactive SVG.

AI-generated description

A world map showing cities with population greater than 50,000. City data from Simplemaps: World Cities Database.

Country boundaries from World Atlas TopoJSON, polished for visual style, including graticules.

Inspired by earlier work from 2018: bl.ocks.org: Migrant Deaths over Time.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Missing Migrants Multiple Views

This interactive visualization combines a world map and a time-series histogram to explore migrant deaths and disappearances. The map uses a natural Earth projection with graticules, rendering circles scaled by the square root of the total dead and missing, filtered by a brush selection on the histogram below. The histogram bins reported dates by month, summing fatalities per bin, and uses d3.brushX to update the map. Data comes from a CSV of the Missing Migrants Project, with country boundaries from World Atlas TopoJSON, all built with React and d3.v5.

AAnthony Zornig

94% match

Loading thumbnail…

Fork of Missing Migrants Multiple Views

This interactive visualization presents the Missing Migrants dataset through two coordinated views: a world map with proportional circles indicating total dead and missing, and a time-series histogram aggregating monthly totals. The map uses a projected sphere with graticules and country boundaries from the World Atlas TopoJSON, with circle sizes scaled by square root. The histogram bins reported dates into monthly intervals using d3.histogram and d3.scaleTime. Both views are rendered as SVG within React, using d3.scaleSqrt, d3.geoNaturalEarth1, and d3.geoPath. Data comes from a hosted CSV file of global migrant incidents.

KKunkgg

94% match

Loading thumbnail…

Fork of Missing Migrants Multiple Views

This visualization displays global migrant deaths across two linked views: a natural Earth projection world map with scaled bubbles for total dead and missing, and a time-series bar chart aggregating monthly totals. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries and graticules, while bubble radii are computed via `d3.scaleSqrt`. The histogram applies `d3.bin` with monthly thresholds and sums values using `d3.sum`. Built with React and D3 v5, data comes from the Missing Migrants Project CSV.

RRoberto

93% match

Loading thumbnail…

Fork of Missing Migrants Multiple Views

This interactive visualization shows reported deaths and disappearances of migrants across global locations and over time. It combines a world map with proportional bubbles representing incident magnitudes alongside a monthly histogram displaying cumulative fatality counts. The map uses a natural Earth projection rendered via d3.geoPath, while bubbles size with d3.scaleSqrt based on total dead and missing. The histogram bins reported dates by month using d3.histogram. Both views are built as React components with SVG, drawing from the Missing Migrants Project dataset and world-atlas TopoJSON for geographic boundaries.

Eevers-codeshop-ai

93% match

Loading thumbnail…

Fork of Missing Migrants Multiple Views

This visualization presents a dual-panel view of missing migrant data. A world map uses semi-transparent circles to show the geographical distribution of total deaths and missing persons, with circle size scaled by the square root of the count. Below, a date histogram aggregates the same data over time, using monthly bins. The map is rendered with `geoNaturalEarth1`, `geoPath`, and `geoGraticule` from D3. The histogram leverages `scaleTime`, `scaleLinear`, `bin`, and `timeMonths` to compute the bar chart. Both views are composed in a React component, reading data from a CSV file containing reported incidents.

Mmikekslv

93% match

Loading thumbnail…

Fork of Missing Migrants Multiple Views

This interactive visualization combines a world map with a time-series histogram to explore missing migrant incidents. Bubble symbols sized by total dead and missing are projected onto a natural Earth projection using d3.geoPath, while a d3.histogram bins reported dates by month and sums the corresponding death tolls. React manages the component hierarchy, and both views use SVG rendering with d3 scales for encoding. Data comes from a CSV of global missing migrant reports.

Aankolaver

93% 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

93% 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

93% match