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Read in JSON department files

✓ Published3🌍 Public
NNourAldinAlmubarak
Last edited May 5, 2020
Created on Apr 24, 2020

This visualization shows the enrollment distribution of male and female students across courses and modules within academic departments at Teesside University. Users can filter the view by department using radio buttons for All, CAM, CSIS, or GAV. The data is loaded from three JSON files using `Promise.all` and `d3.json`, then structured into a hierarchy. A sunburst layout, rendered with SVG paths via `d3.partition` and `d3.arc`, displays the data, with clickable segments and animated transitions on filter change using `d3.v5`.

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Read in JSON department files

This visualization shows a hierarchical sunburst chart of module enrollments across Teesside University’s departments, courses, and modules, with male and female student counts as leaf values. A set of radio buttons lets the user filter the view to focus on specific departments (CAM, CSIS, GAV) or show all. The code loads three JSON files via `Promise.all` and `d3.json`—department names, course-to-department mappings, and module enrollments—then builds a hierarchical data structure. It uses `d3.hierarchy` and `d3.partition` to compute the sunburst layout, with `d3.arc` for the arcs, `d3.scaleOrdinal` with `d3.quantize` and `d3.interpolateRainbow` for coloring, and renders as an animated SVG with clickable segments.

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