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Queries Quality and Percentage – LeetCode SQL Problem 1211

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In this video, we solve a popular LeetCode SQL problem that challenges you to calculate the query quality and the poor query percentage based on specific definitions using SQL aggregate functions and grouping logic.
📌 What You’ll Learn:
How to calculate average using SQL
Using conditional aggregation for custom metrics
Rounding results and formatting output
Grouping and filtering data like a pro!
💡 Problem Summary: Given a table Queries with columns like query_name, rating, and position, you'll learn how to compute:
The average ratio of rating to position for each query_name (aka query quality)
The percentage of poor queries (ratings less than 3)
🧠 Difficulty: Medium
🎯 Topic Covered: Aggregation, CASE WHEN, GROUP BY, ROUND
📊 Whether you're preparing for SQL interviews or just brushing up your skills, this problem is a must-solve!
⏱️ Timestamps: 00:00 - Introduction
00:30 - Problem Explanation
02:00 - SQL Strategy Breakdown
04:00 - Code Walkthrough
06:00 - Final Output & Optimization
💬 Got questions? Drop them in the comments — I reply to every single one!
👍 Don’t forget to Like, Share, and Subscribe for more SQL + Data Science tutorials!
#SQL #LeetCode #DataAnalytics #PoorQueries #InterviewPrep #GeekyCodes #LeetCodeSQL #DataScience
📌 What You’ll Learn:
How to calculate average using SQL
Using conditional aggregation for custom metrics
Rounding results and formatting output
Grouping and filtering data like a pro!
💡 Problem Summary: Given a table Queries with columns like query_name, rating, and position, you'll learn how to compute:
The average ratio of rating to position for each query_name (aka query quality)
The percentage of poor queries (ratings less than 3)
🧠 Difficulty: Medium
🎯 Topic Covered: Aggregation, CASE WHEN, GROUP BY, ROUND
📊 Whether you're preparing for SQL interviews or just brushing up your skills, this problem is a must-solve!
⏱️ Timestamps: 00:00 - Introduction
00:30 - Problem Explanation
02:00 - SQL Strategy Breakdown
04:00 - Code Walkthrough
06:00 - Final Output & Optimization
💬 Got questions? Drop them in the comments — I reply to every single one!
👍 Don’t forget to Like, Share, and Subscribe for more SQL + Data Science tutorials!
#SQL #LeetCode #DataAnalytics #PoorQueries #InterviewPrep #GeekyCodes #LeetCodeSQL #DataScience