Exercise

# Calculate an event target

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You are organising a charity event and want to predict which donors are most likely to attend this event. You organized a similar event in the past, so you can use that information to construct a predictive model. Given is a list `population`

with unique donor ids for this basetable and a list `attend_event`

with donors in the population that attended this past event.
In this exercise you will construct a basetable with two columns: the `donor_id`

and the `target`

, which is 1 if the donor attended the event and 0 otherwise.

Instructions

**100 XP**

- Construct a pandas dataframe basetable that has one row for each donor in
`population`

and one column`donor_id`

with the donor's ID. - Add the target as a column to the basetable. The target is 1 if the donor attended the event and 0 otherwise.
- Calculate and print the target incidence, i.e. the number of times the target is 1 divided by the number of rows in the basetable.