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Going Behind the Call: Uncovering Patterns in 911 Emergencies Using Python and Pandas
In this analysis, we leveraged Python and Pandas to uncover key insights into 911 emergency call patterns. Our findings revealed that medical emergencies (EMS) are the leading cause of calls, with peak call times around 7 AM and 7 PM, likely linked to periods of high activity. Interestingly, January saw the highest volume of emergency calls, while December experienced a drop, perhaps due to holiday festivities. These insights underscore the value of data analysis in understanding and anticipating community needs, helping to better allocate resources and improve emergency response strategies.
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Un test de carte avec R
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MSc - Statistik
Cadenas de Markov
Se analiza una base de pacientes con enfermedades crónicas