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Answer Posted / Raghavendra Mohan
R provides several ways to handle missing data (NA) in a dataset. NA values are treated as missing, and R has functions like `is.na()` to check if a value is missing, `sum()`, `mean()`, etc., that automatically ignore missing values when calculating results. Additionally, you can use various imputation techniques to fill missing values using mean, median, or more sophisticated methods.
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