Map of nursing schools which are committed to the ideals of the Alliance of Nurses for Healthier Environments

This analysis explores the NOAA Storm Database to identify the types of weather events most harmful to population health and those with the greatest economic consequences across the United States. Covering events from 1950 to 2011, the study focuses on fatalities, injuries, and economic damages. Data processing involved cleaning the raw data, converting damage values, and aggregating impacts by event type. Results indicate that tornadoes have the most significant impact on population health, while floods cause the greatest economic damage. These findings are crucial for government and municipal managers in prioritizing resources for severe weather preparedness and response.

plot uses ggplot2 to display a boxplot of sepal length across different species in the Iris dataset. The boxplot includes notches to show confidence intervals and highlights outliers in red, providing insights into the distribution and variability of sepal length by species.

The {MASS} R Package

### Density Plot of Sepal Length by Species This visualization uses `ggplot2` to create density plots of sepal length for each species in the Iris dataset, highlighting distribution differences across species.

R-Ladies NYC openbrewerydb Demo

Modelling Count Variables with R