This study compares Principal Component Analysis and Factor Analysis on Indonesian provincial socioeconomic data (2021–2024). Parallel Analysis is used as the primary retention criterion. The findings highlight differences between variance-based and latent-factor approaches in explaining regional development patterns.

Proba primers exercicis

The Shiny Application and Reproducible Pitch Project is a Course Project for Developing Data Products course offered by Johns Hopkins University Data Science on Coursera. This project has two parts. First, creating a Shiny application and deploy it on Rstudio's servers. Second preparing a reproducible pitch presentation using Rstudio Presenter.

Survey Sebaran Kerja 2025

This document presents a multivariate analysis of the Gallstone dataset using Principal Component Analysis (PCA) and Factor Analysis (FA).