Which method can be used to handle missing data in a dataset?
- Data compression
- Data encryption
- Data imputation
- Data transformation
Data imputation is a method used to handle missing data in a dataset. It involves estimating or filling in the missing values using various techniques, such as mean, median, or machine learning algorithms. This ensures that the dataset remains complete for analysis and modeling.
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