Data Cleaning | Automated hands-on| CloudxLab

Select all the approaches which can be used for dealing with missing values while cleaning the data

Drop the rows which contain missing values
Drop the entire column which has missing values
Replace missing values with the interquartile range
Replace missing values with the standard deviation
Replace missing values with the median

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