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Understanding Party Realignment
This project examines patterns of voter party affiliation shifts in North Carolina from 2016 to 2024. By analyzing voter registration data across ten diverse counties, the study identifies demographic predictors (e.g., gender, race, age) influencing switches to Republican, Democrat, or Unaffiliated status. The goal is to uncover trends in party realignment, such as generational divides, racial dynamics, and growing dissatisfaction with traditional parties, and to assess their implications for political strategies and voter engagement.
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Group 5 : Stock Market Movement Prediction Using 8-K Filings
Stock Market Movement Prediction Using 8-K Filings
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LEVANTE EF measures
Modello Statistico per la Previsione del Peso Neonatale - Angelo Caramia
Il codice esegue un'analisi statistica e grafica su un dataset contenente informazioni su neonati, includendo variabili come il peso, la gestazione, la lunghezza e altre caratteristiche. L'analisi del dataset esplorare e modella il peso neonatale, utilizzando una serie di test e tecniche di visualizzazione per identificare fattori significativi e outlier allo scopo di fare previsioni quanto più attendibili possibile
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