Skip to main content
SimilarExport ZIP
100%

Fork of Multiple Views with Brushing

✓ Published0🌍 Public
Rramdev2021
Last edited Feb 10, 2022
Created on Feb 10, 2022

This visualization combines a bubble map and a date histogram to explore global migration incidents. A d3.geoNaturalEarth1 projection displays the world map with circles sized by the total dead and missing, while a brushing interaction on the time-series chart filters the map’s data. The histogram bins incidents by month using d3.bin, with a brushX selection updating the map’s displayed circles. Built with React and d3.v5, it renders SVG elements and uses data from the Missing Migrants Project and World Atlas TopoJSON.

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 with Brushing

This interactive visualization combines a bubble map with a time-series histogram to explore migration incidents. The map displays circles sized by the total dead and missing at each location, while the histogram below aggregates these counts by month. Users can brush over the histogram to filter the map to a specific time range. Built with React and D3 v5, it uses `geoNaturalEarth1` for map projection, `brushX` for interactive selection, and loads data from a CSV of missing migrants alongside World Atlas TopoJSON boundaries.

Ssagar limbu
96% match
Loading thumbnail…

Fork of Multiple Views with Brushing

This interactive visualization combines a world map and a time-series histogram to explore migration incidents. A bubble map plots reported locations, with circle area scaled by the square root of the total dead and missing count. Below, a date histogram shows the same metric aggregated by month. Users can brush a time range on the histogram, which filters the map's displayed circles based on the selected date range. The map uses `d3.geoNaturalEarth1` projections, `d3.geoPath`, and `d3.geoGraticule` to render sphere, graticules, and land features from World Atlas TopoJSON. React manages state and rendering, while D3 v5 handles scales, binning (`d3.histogram`), time formatting, and the brushing interaction (`d3.brushX`). Data comes from the Missing Migrants Project subset.

Mmuwu16
96% match
Loading thumbnail…

Fork of Multiple Views with Brushing

This visualization combines a world map and a time-series histogram to explore migration incidents. Brushing on the histogram filters the map’s bubbles, which scale by total dead and missing per location. The map uses d3.geoNaturalEarth1 and d3.geoPath for projections, while the histogram is built with d3.bin and d3.brushX. React manages state, and data comes from the Missing Migrants Project and World Atlas TopoJSON.

Cchar0496
96% match
Loading thumbnail…

Fork of Multiple Views with Brushing

This visualization combines a bubble map and a date histogram to explore global missing migrant incidents, with brushing on the histogram filtering the map’s displayed circles. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries and graticules, while circle sizes encode the total dead and missing via `d3.scaleSqrt`. The histogram bins data by month using `d3.bin` and `d3.timeMonths`, with `d3.brushX` enabling interactive time-range selection. The React app (v16.9) manages brush state, filtering the map data accordingly. Data comes from a CSV of missing migrants, with country shapes from World Atlas TopoJSON.

RRay Yang
95% match
Loading thumbnail…

Fork of Multiple Views with Brushing

This example combines a bubble map and a date histogram to visualize global migrant deaths and disappearances. The map uses d3.geoNaturalEarth1 projection to plot circles sized with d3.scaleSqrt for each incident’s total dead and missing, while the histogram aggregates the same metric by reported date. A d3.brushX selection on the histogram filters the map’s circles to show only incidents within the brushed date range. The visualization is built with React and renders SVG elements, using data from the Missing Migrants Project and world atlas TopoJSON.

Zzongkenchai
95% match
Loading thumbnail…

Fork of Multiple Views with Brushing

This visualization combines a bubble map and a date histogram to explore missing migrants incidents worldwide. The map uses a natural Earth projection with country boundaries and graticules, where circle size encodes the total dead and missing per location. A linked time-series histogram below displays monthly death tolls, and users can brush across the timeline to filter the map to incidents within that date range. The example uses React with d3-scale, d3-geo, d3-brush, and TopoJSON for world atlas data.

Hhenry c
95% match
Loading thumbnail…

Fork of Multiple Views with Brushing

This visualization combines a bubble map and a date histogram to explore global migrant deaths and disappearances. The map projects cities using a natural Earth projection with `d3.geoNaturalEarth1` and `d3.geoPath`, while circle size encodes the total dead and missing. The histogram, built with `d3.bin` and `d3.scaleTime`, aggregates counts by month. A `d3.brushX` selection on the histogram filters the map’s circles in real time. Data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON. Rendering uses React and SVG.

RRoberto
95% match
Loading thumbnail…

Fork of Multiple Views with Brushing

This visualization combines a world map with a time-series histogram to explore migration incidents. The map displays circles sized by the square root of the total dead and missing, while the histogram shows the monthly sum of deaths. Users can brush along the time axis to filter the map, dynamically updating the displayed data. Built with React and D3, it uses `d3.geoNaturalEarth1` and `d3.geoPath` for the map, `d3.scaleSqrt` for sizing, and `d3.brushX` for interactive filtering.

Jj9magayanes
94% match