I have a dataset that has 13 columns and 2000 rows. One of the columns has 184 NaN values. On checking the box plot, there are no outliers, and the data of a column is uniformly distributed. My understanding says median and mode is not the correct approach for imputing as data is not skewed, and there are no outliers.
What is the best approach to impute the missing values?
