Data dive 2 complete.

This project focuses on applying dimension reduction techniques—Principal Component Analysis (PCA) and Multidimensional Scaling (MDS)—to a dataset related to primary education, obtained from UNICEF. The aim is to understand patterns in the data while reducing its dimensional complexity for efficient analysis.

Q3 levenes test scatterplot

Q3 levenes test

Learning how to use R markdown, sync with GitHub (push/pull/commit), and publish the knitted Rmd html file for sharing.