Categorize with aggregates
The finance department has raised concerns about missing film revenue data. To prioritize cleanup, they need a year-by-year summary that separates films with reported gross revenue from those without. This analysis will help them focus their resources on the years with the biggest data issues.
This exercise is part of the course
Intermediate SQL with AI
Exercise instructions
- Write a prompt that selects the release year, counts films with missing gross values, counts films with non-missing gross values, groups by release year, and orders the results chronologically by release year.
- Name the new categories as
films_with_grossandfilms_without_gross.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
SELECT release_year
FROM films;