Principal Component Analysis (PCA)

Introduction to PCA Analysis for Building Development Indicators

How can two health measures, life expectancy and infant mortality, be combined into one fair health score? Using simulated data for 50 countries, this Python tutorial builds the index step by step with principal component analysis, a method that finds the single direction capturing most of the shared information. It comes with an interactive app that runs in your web browser.

Pooled PCA for Building Development Indicators Across Time

How can we tell whether regions are developing over time when the measuring stick itself must stay the same? Using education, health and income data for 153 South American regions in 2013 and 2019, this Python tutorial builds one development index from both years together so that scores can be compared across time. It comes with an interactive app that runs in your web browser.