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united-nations

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This repositiory contains the data and scripts used and produced for my disseration analysis chapter. It contain the discourses of Brazil authorities at the opening of the United Nations Assembly (1985-2024). It also contains initial written scripts in R using some NLP techniques, such as word clouds, inverse frequency, word frequency etc.

  • Updated Apr 13, 2025
  • R

Longitudinal analysis of UN Sustainable Development Goals across 180 countries (2000–2023) | EDA, COVID-19 impact analysis, and Lasso regression modelling (R²=0.9966) to track global progress and forecast 2030 outcomes using Python & Scikit-learn.

  • Updated Mar 7, 2026
  • Jupyter Notebook

CW-RIS is a child-centered wind risk analysis app that overlays real-time ECMWF ERA5 wind forecast data with child population exposure (e.g., from WorldPop), school density, and hospital accessibility to compute and visualize risk zones. This Streamlit app enables faster, data-driven decisions for humanitarian response and preparedness.

  • Updated Jun 21, 2025
  • Python

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