Skip to main content
SimilarExport ZIP
100%

Missing migrants multiple views with brushing

✓ Published0🌍 Public
KKolezhannochka
Last edited Jan 23, 2022
Created on Jan 22, 2022

The visualization presents global migrant deaths and disappearances through two linked views: a bubble map and a time-series histogram. Brushing a time range on the histogram filters the map’s circles, which are scaled by the square root of the death count. Built with React, it uses D3 v7 APIs including `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `brushX`, and `bin`. Data comes from a CSV of Missing Migrants records, rendered as SVG marks over world atlas topography.

AI-generated description

Smiley face implementation with React.

MIT Licensed

Similar vizzes

Loading thumbnail…

Missing Migrants Multiple Views wtih Brushing

This interactive visualization combines a bubble map and a time-series histogram to explore global migrant deaths. The map uses D3's `geoNaturalEarth1` projection and `geoPath` to render landmasses, with circle size scaled by the square root of the total dead and missing. A brushable date histogram, built with `scaleTime` and `histogram`, allows users to filter the map by date range, dynamically updating the displayed data. Both views are implemented as React components using D3 scales and SVG rendering.

Nnpelliccia
95% match
Loading thumbnail…

Missing Migrants Multiple Views with Brush

This visualization presents global missing migrant incidents through a linked bubble map and time-based histogram. The map uses a natural Earth projection with translucent circles scaled by death counts, while the histogram aggregates monthly totals. A brush on the histogram filters the map’s displayed data in real time, enabling temporal exploration. Built with React and D3 v6, it employs `geoNaturalEarth1`, `scaleSqrt`, `bin`, `brushX`, and TopoJSON world atlas data from the Missing Migrants Project dataset.

RRMartins11
95% match
Loading thumbnail…

Missing Migrants Multiple Views with Brushing

This interactive visualization combines a bubble map and a date histogram to explore global missing migrant incidents. Users brush over the histogram to filter the map, revealing the geographic distribution of deaths and missing persons within a selected time range. The map uses a natural Earth projection with proportional circle sizes for death counts, while the histogram aggregates monthly totals. Built with D3.js v7 and React, it employs `d3.geoNaturalEarth1`, `d3.geoPath`, `d3.bin`, `d3.brushX`, and `d3.scaleSqrt` for data processing and rendering as SVG elements. Data comes from a CSV of Missing Migrants Global incidents.

KKazushige Okuma
94% match
Loading thumbnail…

Missing Migrants Multiple Views with Brushing

This visualization combines a bubble map and a date histogram to explore global missing migrant data from a CSV dataset. Users can brush across the histogram to filter the map by date range, with linked views updating simultaneously. The map uses d3.geoNaturalEarth1 projection and d3.geoPath for country boundaries, while the histogram applies d3.bin with timeMonths thresholds and d3.brushX for selection. React manages state for the brush extent, and d3.scaleSqrt sizes bubbles by the total dead and missing count.

MMichael Bergerson
94% match
Loading thumbnail…

Missing Migrants Multiple Views, with Brushing

This example visualizes missing migrant incidents worldwide with a bubble map and a brushing-linked date histogram. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries and graticules, with circle sizes scaled by `d3.scaleSqrt` to represent the total dead and missing per incident. The histogram, built with `d3.bin` and `d3.scaleTime`, shows monthly totals and supports brushing via `d3.brushX`; when a date range is selected, the map filters its circles to matching incidents. Both views share data from a CSV of global missing migrants, rendered as SVG within React.

LLove Wessman
94% match
Loading thumbnail…

Multiple views with brushing

A choropleth-style bubble map displays global migrant deaths and disappearances, with a coordinated histogram showing the same data over time. Brushing a time range on the histogram filters the map’s circles in real time, highlighting temporal patterns. The visualization uses React for component structure, D3 v5 APIs including `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `brushX`, and `bin`, rendering SVG marks. Data comes from the Missing Migrants Project, with country boundaries sourced from World Atlas TopoJSON.

Ccshm407
94% match
Loading thumbnail…

Migrants Multi View w/ Brushing

This visualization shows a map of missing migrants alongside a time-series histogram, with interactive brushing to filter data across both views. Geographic coordinates are plotted as bubbles on a natural Earth projection using `d3.geoNaturalEarth1` and `d3.geoPath`, sized by the square-root scale of the total dead and missing count. A lower date histogram, built with `d3.bin` and `d3.timeMonths`, uses `d3.brushX` to select a temporal range, which dynamically filters the rendered circles on the map. The React-sourced data comes from a CSV of Missing Migrants Global records rendered as SVG.

AAndres de la Garza
93% match
Loading thumbnail…

Multiple Views with Brushing

This interactive visualization combines a world map and a time series histogram to explore migrant deaths and disappearances. The map displays circles sized by death counts using d3.geoNaturalEarth1 and d3.geoPath, while the histogram aggregates monthly totals with d3.histogram. Brushing on the histogram filters the map’s data through a brushX interaction, updating the circles in real time. The data comes from the Missing Migrants Project CSV, rendered as SVG within a React framework.

Nnkohdatavis
93% match