Raw datasets are often quite messy. Before you can begin to analyze your data, first you must clean and prepare your data. This workshop will teach the fundamentals of using the tidyverse package in R, which include (but aren't limited to): checking for and removing outliers, filtering data, and mutating variables / creating new variables.