Which of the following are common techniques for handling missing data in a dataset?
1. Remove the entire column of data.
2. Remove the row of data with missing values.
3. Insert a value close to the mean or mode of the variable with missing data.
4. Leave the missing data as it is.
5. Insert a random value.