Fork of Multiple Views Cleanup

100%

Fork of Multiple Views Cleanup

✓ Published0🌍 Public

Last edited Dec 24, 2021

Created on Dec 22, 2021

This interactive visualization combines a world map of migration incidents with a time-series histogram. The map uses a natural Earth projection with graticules to display circles scaled by the total dead and missing, while the histogram below shows the same metric aggregated by month. Built with React and D3 v5, it uses `geoNaturalEarth1` and `geoPath` for the map, `scaleSqrt` for circle sizing, and `bin` with `timeMonths` for the histogram. Data comes from the Missing Migrants Global dataset.

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.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Multiple Views Cleanup

This visualization combines a world map with a time-series histogram to display data on migrant deaths and missing persons. The map uses a Natural Earth projection with graticules, country boundaries, and location points sized proportionally to the reported deaths. The histogram below aggregates the same data over time, using `d3.bin` with monthly thresholds. Both views are rendered as SVG within a React application, using D3 v5's `geoPath`, `scaleSqrt`, `scaleTime`, and `scaleLinear` APIs. The underlying dataset is a CSV of global migrant incidents, processed with `d3.csv`.

Kkyuyoshida

94% match

Loading thumbnail…

Fork of Multiple Views Cleanup

This visualization combines a bubble map and a date histogram to show migration incidents worldwide. The map uses a natural Earth projection with graticules and country boundaries from World Atlas TopoJSON, with circle sizes scaled by the square root of the total dead and missing. The histogram below aggregates monthly totals using d3.bin and d3.timeMonths. Both views use d3.scaleSqrt, scaleTime, and scaleLinear, rendered as SVG with React components. Data comes from the Missing Migrants Project CSV, parsed with d3.csv.

YYedrup

93% match

Loading thumbnail…

Fork of Fork of Multiple Views Cleanup

This visualization combines a bubble map with a date histogram to explore migration incidents. The map uses a Natural Earth projection to plot circles scaled by the square root of the total dead and missing, with landmasses and graticules rendered via `d3.geoPath` and `d3.geoGraticule`. The histogram below aggregates the same data by month, using `d3.histogram` and `d3.timeMonths` for binning. Both views are built with React and SVG, drawing from the Missing Migrants dataset.

Bbigstonecompany

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 Multiple Views Cleanup

This interactive visualization combines a bubble map and a date histogram to explore the global distribution of missing migrants. The map uses D3's geoNaturalEarth1 projection and geoPath to render world landmasses, graticules, and circles sized by the square root of the death toll. The histogram uses D3's scaleTime, bin, and timeMonths to aggregate reports by month. Both views are built with React and SVG, drawing from a CSV of missing migrant incidents.

RRoberto

93% match

Loading thumbnail…

Fork of Multiple Views Cleanup

This interactive visualization combines a geographic bubble map with a time-series histogram to explore migrant deaths and disappearances. The map projects city locations using an equal-area projection with graticules, while the histogram aggregates monthly totals using `d3.histogram` and `timeMonths`. Built with React and D3 v5, the visualization uses `geoNaturalEarth1` for the map projection and `scaleSqrt` for bubble sizing, rendering data from the Missing Migrants Project as SVG. The code demonstrates a modular approach with separate axis and mark components for each view.

Eevers-codeshop-ai

92% match

Loading thumbnail…

Fork of Multiple Views Cleanup

This visualization combines a world bubble map with a time-series histogram to explore migrant deaths and disappearances. The map projects city coordinates using `d3.geoNaturalEarth1` and `d3.geoPath`, with circle sizes scaled by `d3.scaleSqrt`. The histogram bins reported dates by month using `d3.histogram` and `d3.timeMonths`, summing deaths per bin. Data comes from the Missing Migrants Project CSV, while country boundaries use TopoJSON from World Atlas. The React components render SVG with D3 scales and axes.

EEdgar Alves

92% match

Loading thumbnail…

Fork of Multiple Views Cleanup

This visualization combines a natural Earth projection bubble map with a time-series bar chart, using React and D3 v5. The map displays missing migrant incidents as semi-transparent circles, with circle size scaled by the square root of the total dead and missing count. The lower histogram bins reported dates by month and sums fatalities per bin. Both views use D3 scales, with `geoNaturalEarth1` and `geoPath` for the map, and `scaleTime` with `histogram` for the date aggregation. The data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

HHoanglinh1201

92% match