This report analyzes the U.S. National Oceanic and Atmospheric Administration (NOAA) Storm Events Database to identify which event types are most harmful to population health and which have the greatest economic consequences across the United States. We start from the raw CSV repdata_data_StormData.csv (no external pre-processing). We compute health impacts (fatalities, injuries) and standardized economic losses (property + crop). We show all R code (echo = TRUE) and cache heavy steps for speed. Our results typically show that a small number of event types account for a large share of adverse outcomes: tornadoes dominate injuries and fatalities, while floods, hurricanes/typhoons, and storm surges account for the largest economic losses. These findings can help public officials prioritize preparedness and mitigation resources.

This report analyzes the U.S. National Oceanic and Atmospheric Administration (NOAA) Storm Events Database to identify which event types are most harmful to population health and which have the greatest economic consequences. We begin from the raw CSV repdata_data_StormData.csv (place this file in the same folder as this .Rmd). We compute health impacts (fatalities, injuries) and standardized economic losses (property + crop), showing all R code and caching heavy steps for speed. Results typically show tornadoes dominating health impacts, while floods, hurricanes/typhoons, and storm surges dominate economic losses.

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