Suggested Prerequisites:
Basic familiarity with R and Cleaning Data in R - Part 2
Overview:
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 mrsmith@rice.edu if you have questions about the Data@Rice workshop series.
For more information about Python and 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