Mode and constant imputation
Filling in missing values with mean, median, constant and mode is highly suitable when you have to deal with a relatively small amount of missing values. In the previous exercise, you imputed using the mean and median methods. In this exercise, you'll fill in the most frequent values in the column and also perform another imputation by filling in a constant value.
As before, the diabetes DataFrame and the function SimpleImputer()have been loaded for you.
This exercise is part of the course
Dealing with Missing Data in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Make a copy of diabetes
diabetes_mode = diabetes.copy(deep=True)
# Create mode imputer object
mode_imputer = SimpleImputer(___=___)
# Impute using most frequent value in the DataFrame mode_imputer
diabetes_mode.iloc[:, :] = mode_imputer.___(___)