Suggested Prerequisites:
Basic familiarity with R.
Overview:
This course introduces the process of cleaning messy data in R, including the following tasks:
- Getting an overview of data
- Renaming variables
- Cleaning factor levels
- Keeping and dropping variables (columns)
- Keeping and dropping rows
- Dealing with missing data
- Changing (converting) data types
- Recoding data values
- Cleaning character data (e.g., case and white space inconsistency)
- 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 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
Online via Zoom. The link will be emailed to registrants the week of the workshop.
Registration Form