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.
To ćwiczenie jest częścią kursu
Intermediate SQL Querying with AI
Instrukcje do ćwiczenia
- 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.
Interaktywne ćwiczenie praktyczne
Spróbuj tego ćwiczenia, uzupełniając ten przykładowy kod.
SELECT release_year
FROM films;