In this assignment, our task is to explore the NOAA Storm Database (the events in the database start in year 1950 and end in November 2011) and provide data analysis that answers two questions related to severe weather events: Across the United States, which types of events are most harmful with respect to population health? Across the United States, which types of events have the greatest economic consequences? I use R and the tidyverse suite of tools (specifically dplyr and ggplot) to process, transform, and analyze this data. As a result of my analysis, I can conclude that tornadoes are the most harmful with respect to population health, assessed using fatality and injury data. In comparison, floods are the event that have the greatest economic consequences as assessed by property and crop damage.

Visualizing microbiome data is a key component of data exploration, communication, and collaboration. Read about how to get it down in RStudio using the phyloseq and ggplot2 packages.

Decontam is an excellent and easy to implement way to identify the frequency and prevalence of contaminants and filter contaminant sequences prior to downstream analysis.