Replace missing values with a fixed value
Given a basetable that has a predictive variable "total_donations", indicate the total amount of donations made by each donor in the population. If a value is missing for this predictive variable, it means that this is a new donor that did not make any donations yet. In this case, logical reasoning can be used to know by which value we should replace missing values.
Cet exercice fait partie du cours
Intermediate Predictive Analytics in Python
Instructions
- Assign the replacement value for missing values to
replacement. - Replace missing values in the column
total_donationsby this replacement.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Missing values replacement
replacement = ____
# Replace missing values by the appropriate value
basetable["total_donations"] = ____["____"].____(____)