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brazilian-data

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End-to-End Python implementation of Muço’s (2025) corruption measurement framework. Combines NLP pipeline (regex extraction, Porter stemming, TF-IDF), PCA-based dimensionality reduction, and fixed-effects OLS to quantify institutional quality from Brazilian audit reports. Includes supervised learning robustness checks and LOO sensitivity analysis.

  • Updated Dec 14, 2025
  • Jupyter Notebook

PT-BR/EN: Pipeline de analytics engineering sobre mineração brasileira / Data engineering pipeline for Brazilian mining data — Python, Polars, dbt, DuckDB, SQL e interactive dashboard.

  • Updated Sep 6, 2026
  • HTML

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