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Fork of Fork of KFDA data using Vega-Lite API

✓ Published0🌍 Public
Yyejichun@naver.com
Last edited Sep 16, 2022
Created on Sep 16, 2022

This visualization displays the beta coefficients of statin exposure on various metabolite concentrations across three different covariate adjustment models, with each bar colored by metabolite group. It uses the Vega-Lite API to encode `idx` on the x-axis and `beta1` on the y-axis, with tooltips showing p-values. The data comes from a KFDA study (Korean Food and Drug Administration) and is loaded via `d3.csv`. Clicking a bar redirects to a separate `clicked.html` page that displays the metabolite title, implemented through a URL-encoded `href` link and the `URLSearchParams` API.

AI-generated description

A visualization constructed using the vega-lite-api.

The data shown here comes from the UCI Machine Learning Repository: Auto MPG Data Set, via Gist: Scatter Plot with Menus.

MIT Licensed

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