Reproducibility Package for Multidimensional Assessment of CO₂ Emission Drivers and Temporal Dynamics Using World Bank Indicators and Machine Learning Approaches

This reproducibility package contains the analysis code, preprocessing scripts, indicator metadata, processed analytical data, and computational notebooks used in the study. The package includes procedures for data preprocessing, Principal Component Analysis (PCA), country clustering, predictive modeling using Random Forest and ElasticNet, SHAP-based feature importance analysis, and Hidden Markov Model (HMM) analysis of CO₂ emission dynamics. The original World Development Indicators (WDI) data are publicly available from the World Bank.