Reproducible Research Using R An Open Educational Resource

Install and load R packages from CRAN

Explain what the tidyverse is and why it is commonly used

Use the pipe operator (|>) to build readable data workflows

Select, filter, arrange, and rename variables in a data frame

Create new variables using mutate()

Apply conditional logic with if_else() and case_when()

Summarize grouped data using group_by() and summarize()

Combine multiple tidyverse verbs into a single reproducible pipeline