Data Cleaning with R

Often one of the most time-consuming aspects of doing research is cleaning your data. This workshop will provide participants with an overview and hands-on practice using data cleaning functions in R, specifically from the Tidyverse set of packages (https://www.tidyverse.org/). Topics will include loading data, subsetting, filtering, creating new columns, merging data, stripping out unwanted characters, reshaping data, and by-group processing. This hands-on workshop is most suited to participants who have some prior familiarity with R.