When dealing with large data objects, global variables in R can lead to ______ if not managed properly.
- Memory inefficiency
- Increased computational time
- Difficulty in data processing
- All of the above
When dealing with large data objects, global variables in R can lead to memory inefficiency if not managed properly. Global variables persist throughout the program's execution and occupy memory even when they are no longer needed. This can result in excessive memory usage, especially if multiple large data objects are stored as global variables. Proper management, such as removing or resetting global variables when no longer needed, is crucial to avoid memory-related issues.
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