Cleaning Data in R - Part 1 (online)

Suggested Prerequisites:

Basic familiarity with R.

Overview:

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 mrsmith@rice.edu if you have questions about the Data@Rice workshop series.

For more information about other data courses at Rice, visit https://library.rice.edu/services/data-workshops, or contact researchdata@rice.edu

Date/Time
-
Location
Zoom link will be sent to participants
Registration Form

Status message


Sorry… This form is closed to new submissions.