I am trying to add 2 new columns to my users_df about ages and sex. I want it to respect the following proportions:
Male: 51%
Female: 49%
and...
15 to 24 years old: 13%
25 to 44 years old: 39%
45 to 64 years old: 30%
65 and more: 18%
All I can find is how to impute missing values or create the column with
np.random.randint
Ages can be random as long as they respect the ranges from above.
Thanks in advance!
