Exercise

# Computing conviction

After hearing about the useful advice you provided to the library, the founder of a small ebook selling start-up approaches you for consulting services. As a test of your abilities, she asks you if you are able to compute conviction for the rule *{Potter}* \(\rightarrow\) *{Hunger}*, so she can decide whether to place the books next to each other on the company's website. Fortunately, you still have access to the goodreads-10k data, which is available as `books`

. Additionally, `pandas`

has been imported as `pd`

and `numpy`

as `np`

.

Instructions

**100 XP**

- Compute the support for
*{Potter}*and assign it to`supportP`

. - Compute the support for NOT
*{Hunger}*. - Compute the support for
*{Potter}*and NOT*{Hunger}*. - Complete the expression for the conviction metric in the return statement.