Suggested Prerequisites:
Basic familiarity with R and Cleaning Data in R - Part 1
Overview:
This course continues the workflow involved in cleaning messy data in R, including the following tasks:
- Dealing with missing data
- Cleaning factor levels
- Changing (converting) data types
- Recoding data values
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
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Location
Zoom link will be sent to participants
Registration Form