Fork of Multiple Views with Brushing

Fork of Multiple Views with Brushing

This visualization combines a bubble map and a date histogram to explore missing migrant incidents worldwide. A brushed time range in the histogram filters the circles displayed on the map, which use d3.geoNaturalEarth1 and d3.geoPath for geographic projection. Data comes from the Missing Migrants Project CSV. The React app uses d3.scaleSqrt for bubble sizing, d3.bin for histogram binning, and d3.brushX for interactive selection.

AAga Domanska

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

Fork of Multiple Views with Brushing

This interactive visualization shows missing migrants worldwide, with a bubble map displaying locations scaled by death count and a date histogram showing monthly totals. Users brush the histogram’s time axis to filter the map, updating circles dynamically. Built with React and D3 v5, it uses `d3.geoNaturalEarth1` and `d3.geoPath` for map projection, `d3.bin` and `d3.brushX` for the histogram and brushing, and SVG for rendering. Data comes from the Missing Migrants Project CSV, with country boundaries from World Atlas TopoJSON.

PPrakash Khunti

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

Fork of Multiple Views with Brushing

This interactive visualization combines a world map of missing migrant incidents with a brushable time-series histogram. The map displays circles sized by the total dead and missing, while the histogram allows users to brush over time ranges to filter the map data. Built with React and D3 v5, it uses `geoNaturalEarth1` projections, `geoPath` for map rendering, `brushX` for temporal selection, and `scaleSqrt` for circle sizing. Data comes from the Missing Migrants Project dataset.

SShan Gao

Fork of Multiple Views with Brushing

This visualization combines a bubble map of missing migrant incidents with a linked date histogram. Users can brush a time range in the histogram, which filters the map's circles based on `Reported Date`. The map uses `d3.geoNaturalEarth1` projection with `d3.geoPath` for country boundaries and graticules, while circle size is scaled with `d3.scaleSqrt` based on the 'Total Dead and Missing' field. The histogram bins data with `d3.histogram` and uses `d3.brushX` for interactive selection. Data comes from the Missing Migrants Project CSV.

YYedrup

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

Fork of Multiple Views with Brushing - Jan

This interactive visualization combines a world bubble map and a time-series histogram, both rendered as SVG using React and D3 v5. It displays data on dead and missing migrants from the Missing Migrants Global 2019 subset, with the map using the `geoNaturalEarth1` projection and `geoPath` to render land and graticules. Users can brush the histogram to filter the cities shown on the map, with circle sizes scaled by the square-root of casualties. The histogram bins by month via `histogram`, and the brush extent controls data filtering through a React state update.

Jj9magayanes