GitHub / ameudes / Uncovering-Development-Patterns-in-141-Countries-Using-PCA

This repository presents an exploratory analysis using Principal Component Analysis (PCA) on a dataset of 18 quantitative indicators for 141 countries. The project aims to reduce dimensionality while extracting meaningful patterns to characterize countries based on development level, economic structure, and living conditions.

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PURL: pkg:github/ameudes/Uncovering-Development-Patterns-in-141-Countries-Using-PCA

Topics: correlation-matrix, country-indicators, dimensionality-reduction, factor-analysis, multivariate-statistics, pca, principal-component-analysis, quantitative-data

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