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Analysis of the accuracy of U.S. presidential election polls (2008–2024) based on prediction error data. Compares ideal vs. practical polling methodology, presents three contrasting visualizations of the same dataset to illustrate framing effects, and identifies selection/measurement biases with recommendations to improve accuracy.
Web scraping (BeautifulSoup) et traitement (pandas) de données de sondages électoraux pour 10 élections (Philippines, Pologne). Nettoyage, restructuration large-long, attribution de l'orientation politique des candidats, détection d'outliers (score Z) et tableau de bord interactif Streamlit pour visualiser l'évolution des prédictions.