Estadística Descriptiva

This model classifies telecommunications customers at risk of churn to enable more targeted retention interventions.

Dealova 112031128

This report explores the NOAA Storm Database from 1950 to 2011 to identify which types of severe weather events are most harmful to population health and which have the greatest economic consequences. Using R, we process the raw dataset, standardize event types, and convert damage estimates into U.S. dollars. Results show that tornadoes cause the highest number of fatalities and injuries, while floods and hurricanes generate the largest economic losses

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