Clustering Student Profiles Using PASEC 2019 Data
Dimensionality reduction and unsupervised clustering (DBSCAN + PCA) applied to education data from 14 African countries, revealing student profiles across performance, SES, and school context.
Dimensionality reduction and unsupervised clustering (DBSCAN + PCA) applied to education data from 14 African countries, revealing student profiles across performance, SES, and school context.
Interactive dashboard of perceived major problems across African countries (Afrobarometer R9).
Interactive visualization of government revenue composition and trends using UNU-WIDER data.