In R, 'na' stands for 'Not Available' and is used to represent missing or undefined data. This special value is crucial in data analysis because it helps identify gaps in datasets, allowing programmers to handle such cases appropriately. By understanding how 'na' works with different data types and operations, one can effectively manage missing values in numeric, character, and logical data types while performing arithmetic and logical operations.
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