SQL CASE Statements Explained: 4 Practical Examples
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In today's video, we are taking a look at a few different applications of Case Statements within SQL. I showcase 4 different examples and take you step by step through them.
Everything is coded within MSSQL and inside SQL Server Management Studio.
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In this SQL tutorial, I walk through four practical examples of using CASE statements to transform and analyze data. CASE statements in SQL work like if-else logic in other programming languages, but they output results directly into table columns, making them essential for data analysis and reporting.
I start with a simple example using baseball league data, showing how to convert abbreviated league codes (AL/NL) into full names (American League/National League). Then we dive deeper with Sandy Koufax's pitching statistics, where I demonstrate how to classify seasons as "good" or "great" based on multiple criteria like strikeouts, ERA, and wins. Along the way, I reveal a critical lesson: order matters in CASE statements, and I show exactly what happens when you get it wrong.
The third example uses Billy Strings concert data to identify popular states based on aggregate ticket sales, combining CASE statements with SUM functions and GROUP BY clauses. Finally, I demonstrate how to wrap a CASE statement inside a SUM function to count occurrences, turning qualitative classifications into quantitative metrics.
By the end of this video, you'll understand how to build single and multi-condition CASE statements, combine them with aggregate functions, and avoid common pitfalls that can break your queries. Whether you're cleaning data, creating reports, or performing complex analysis, these CASE statement patterns will become essential tools in your SQL toolkit.
TIMESTAMPS
00:00 Introduction to CASE Statements
00:10 Example 1: League Names Setup
01:05 Writing the CASE Statement
02:08 Adding Multiple Conditions
03:17 Testing the Query
04:14 Example 2: Sandy Koufax Good Seasons
05:22 Building Complex Criteria
06:31 Adding Great Seasons
07:55 Order Matters in CASE Statements
09:09 Example 3: Billy Strings Tour Data
10:25 Using Aggregate Functions
11:09 Reviewing Results
11:52 Example 4: Summing CASE Results
13:17 Final Results & Wrap-up
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