Cleaning Data in R - Part 1 (online)

Suggested Prerequisites:

Basic familiarity with R.


This course introduces the process of cleaning messy data in R, including the following tasks:

  • Renaming variables
  • Cleaning factor levels
  • Keeping and dropping variables
  • Keeping and dropping rows
  • Dealing with missing data

Instructions for installing R and RStudio

Contact information:

Please email if you have questions about the Data@Rice workshop series.

For more information about other data courses at Rice, visit, or contact

Zoom link will be sent to participants
Registration Form

Status message

Sorry… This form is closed to new submissions.