This report analyzes the U.S. National Oceanic and Atmospheric
Administration (NOAA) Storm Database (1950–Nov 2011) to identify: (1)
which event types are most harmful to population health, and (2) which
event types have the greatest economic consequences. Starting from the
original compressed CSV file, we load, clean, and transform the data in
a fully reproducible R Markdown workflow. We aggregate fatalities,
injuries, and inflation-agnostic economic damages (property + crop) by
event type. Results show that tornadoes dominate health
impacts (fatalities and injuries combined), while
floods and hurricanes/typhoons account
for the largest economic losses. Findings are visualized in ≤3 figures
as required, with all code shown (echo=TRUE).
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