This analysis explores the NOAA Storm Database (1950–2011) to identify which severe weather events have the greatest impact on public health and economic losses across the United States. Using R and reproducible methods, the report shows how fatalities, injuries, property damage, and crop damage vary by event type. Results highlight that tornadoes are the most harmful to population health, while floods, hurricanes, and droughts dominate in terms of economic consequences.

TESTS

In this project, we aim to develop a multiple linear regression model to predict the number of active physicians in 1990 (Y) using explanatory variables from the CDI2 dataset. The analysis aims to explore the relationship between the response variable and predictors such as population demographics, socioeconomic factors, and geographic regions to identify significant predictors.