This analysis investigates the impact of severe weather events in the U.S. using the NOAA Storm Data dataset. The study identifies the event types (`EVTYPE`) most harmful to population health by measuring combined fatalities and injuries, with tornadoes and excessive heat ranking highest. Economic consequences were also evaluated by calculating property and crop damages, adjusted using exponent codes (`PROPDMGEXP`, `CROPDMGEXP`) to reflect true financial loss. Hurricanes, floods, and tornadoes were found to cause the greatest economic damage.

Second homework for the course "Applied Data Analysis in Business with R", covering hypotheses testing.

El paquete `tidyverse` es una colección de herramientas en R diseñadas para facilitar la manipulación, transformación y visualización de datos

HW 2 : Hypotheses testing - Pürzelmayer