SQL QuestSQL Interview Questions › Aggregation & Grouping

Genre Box Office Report

MediumFreeQuerying BasicsAggregation & GroupingNULL HandlingConditional Logic

Build a genre-level box office report for all genres. Show: genre, total_films, films_with_revenue (count where revenue is not NULL), total_revenue (treat NULL as 0 using COALESCE, rounded to 1 dec), and avg_revenue_known_films (average of non-NULL revenues only, 1 dec). Sort by total_revenue descending.

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Schema

movies

idtitleyeargenreratingvotesrevenue_millionsruntimedirector
1Guardians of the Galaxy2014Action8.1757074333.13121James Gunn
2Prometheus2012Adventure7485820126.46124Ridley Scott
3Split2016Horror7.3157606138.12117M. Night Shyamalan

Expected output: All genres with correct NULL-aware revenue totals

Hint

COALESCE(revenue_millions, 0) converts NULLs to 0 for SUM. AVG(revenue_millions) naturally skips NULLs for the known-films average

Concepts

SELECT GROUP BY Aggregation NULL Handling ORDER BY CASE HAVING

Practise the topic: SQL practice questions · GROUP BY exercises · NULL handling practice · CASE WHEN practice

In these company practice sets

Snowflake · Spotify

A SQL Quest challenge matched to patterns reported for these companies — not a question any of them has published.

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