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, dropping, and arranging variables
- Keeping, dropping, and filtering rows
- Dealing with missing data
- Grouping by a variable
- Summarizing
- Creating new variables
Instructions for installing R and RStudio
Contact information:
Please contact mrsmith@rice.edu if you have questions about the Data@Rice workshop series.
Date/Time
-
Location
Fondren B43 (Collaboration Space)
Registration Form