Revenue analytics and unit economics Identifying the most popular book in the catalogue

96. Identifying the most popular book in the catalogue

Joins, filters and grouping are a foundation of data analysis. When we applied them to users and purchases we are able to get insights like revenues per country/per age group etc.

Of course we shouldn’t stop there. When looking at users and books we can get a lot of content insights – trends in categories, popular/not popular books etc.

Let’s find what’s the most popular book in the Bindle’s library. In other words – let’s find a book name which is being read by the most amount of users.

⚠ Since we need to count users per book it could happen...

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-- Type in your query here. You might want to start by listing all records: SELECT * FROM books_users
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