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optimizing missing migrant brushing

✓ Published0🌍 Public
GGuitong Li
Last edited Feb 13, 2022
Created on Feb 11, 2022

This visualization combines a world map and a bar chart to explore missing migrant incidents. The map uses `d3.geoNaturalEarth1` projection and `d3.geoPath` to render country boundaries, with circle radii scaled by `d3.scaleSqrt` to show death counts. Below, a brushable time-series bar chart using `d3.brushX` filters the map by date range through React state. Data comes from the Missing Migrants Project CSV, loaded via `d3.csv`. The React components manage scales, axes, and brushing interactions.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017. It also demonstrates customization of D3 axes.

See also the first bar chart visualization that this one builds on: Making a Bar Chart.

MIT Licensed

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