Cleaning Data in R - Part 2 (online)

Suggested Prerequisites:

Basic familiarity with R and Cleaning Data in R - Part 1


This course continues the workflow involved in cleaning messy data in R, including the following tasks:

  • Changing data types
  • Fixing character data (e.g., case and white space inconsistency)
  • Recoding
  • Transforming data formats (long-to-wide and wide-to-long)

Instructions for installing R and RStudio

Contact information:

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

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

Zoom link will be sent to participants
Registration Form

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