Adding age

Given is an early stage basetable that contains the donor ID and birth date of candidate donors. In this exercise you will learn to add the age of these donors to the basetable. The method to calculate "age" is already implemented for your convenience. Keep in mind the following timeline of the basetable:

Deze oefening maakt deel uit van de cursus

Intermediate Predictive Analytics in Python

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Oefeninstructies

Fill out the reference date.
Add a column "age" to the basetable that is the age of the donor on the reference date. The function calculate_age has been implemented for you. It takes date_of_birth and reference_date as arguments.
Print the mean age of all donors.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# Reference date
reference_date = datetime.date(____, ____, ____)

# Add age to the basetable
basetable["age"] = (pd.Series([calculate_age(____, ____)
                              for date_of_birth in basetable["date_of_birth"]]))

# Calculate mean age
print(round(basetable["____"].____()))

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