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Persons of Concern StreamGraph by Origin

✓ Published0🌍 Public
Ppgy-iacas
Last edited Mar 13, 2020
Created on Mar 13, 2020

This streamgraph visualizes the number of confirmed COVID-19 cases in China’s provinces and autonomous regions over time, using a wiggle-offset stacked area chart. Data is loaded from a local JSON file, interpolated for daily values, and rendered as SVG paths using the D3.js stack, area, and curveBasis APIs, with labels positioned by the d3-area-label library. The visualization highlights the rise and fall of case counts across regions, with each colored band representing a province’s contribution to the total.

AI-generated description

A StreamGraph visualization of the total number of persons of concern grouped by country of origin.

The total number of persons of concern is the sum of Asylum-seekers, Internally displaced persons, Persons in IDP-like situation, Others of concern, Returned IDPs, Refugees (incl. refugee-like situations), Returnees, Persons in Refugee-like situation, and Stateless Persons. Excludes countries with relatively low counts. Data from UNHCR Population Statistics.

See also this variant that shows the data grouped by destination.

Draws from Labeled Streamgraph and Syrian Refugees by Settlement Type.

Uses d3-area-label to position labels.

Originally published in bl.ocks.org: Persons of Concern StreamGraph by Origin.

MIT Licensed

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