{"version":"1.0","type":"rich","title":"Students_Dataset_Viz","description":"This example demonstrates a principal component analysis (PCA) workflow on the `full_gea.csv` dataset. It loads the CSV with D3’s `csv` method, parses numeric columns, and reduces the data to two dimensions using a custom PCA implementation in `pca.js`, which relies on the `numeric` library’s `eig` function for eigenvector computation. The resulting projected coordinates are logged to the console, with no visual rendering shown. It illustrates importing local ES6 modules alongside D3 v6.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"","width":960,"height":500,"cache_age":3600}