Imagine you're working with a large data set in R and need to perform operations on a data frame that's not memory-efficient. How would you handle this situation?
- Use data.table package for memory-efficient operations
- Split the data frame into smaller subsets for processing
- Remove unnecessary columns from the data frame
- All of the above
All of the mentioned strategies can be used to handle a large data frame that is not memory-efficient. Using the data.table package, splitting the data frame, and removing unnecessary columns are effective ways to optimize memory usage and improve processing efficiency.
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