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  3. Intermediate Predictive Analytics in Python

Exercise

Creating a missing value dummy

Given a basetable that has a predictive variable "total_donations" that has the total number of donations a donor ever made. This variable can have missing values, indicating that this donor never made a donation before. This is important information on its own, so it is appropriate to create a variable "no_donations" that indicates whether "total_donations" is missing.

Instructions

100 XP
  • Create a new column "no_donations" in basetable that has value 1 if total_donations is missing and 0 otherwise.
  • Calculate the number of missing values in total_donations and assign it to number_na.
  • Print the percentage of missing values.