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title

SQL Avg

🎯 한 줄 통찰 (One-line insight)

AVG() returns a numeric column's mean, ignoring NULLs, and doubles as a comparison baseline when nested as a subquery in a WHERE clause. [S1]

🧠 핵심 개념 (Core concepts)

AVG() function — returns the average value of a numeric column; ignores NULL values. [S1]
Syntax — SELECT AVG(column_name) FROM table_name WHERE condition;. [S1]
AVG() with GROUP BY — returns the average per group. [S1]

🧩 추출된 패턴 (Extracted patterns)

AVG() as a subquery baseline — WHERE Price > (SELECT AVG(Price) FROM Products) uses AVG() inside a subquery to compare each row against the overall average — a reusable pattern for "above/below average" filters. [S1]

📖 세부 내용 (Details)

Basic average: SELECT AVG(Price) FROM Products;. [S1]
With WHERE: SELECT AVG(Price) FROM Products WHERE CategoryID = 1;. [S1]
With alias: SELECT AVG(Price) AS [average price] FROM Products;. [S1]
Above-average filter via subquery: SELECT * FROM Products WHERE Price > (SELECT AVG(Price) FROM Products);. [S1]
With GROUP BY: SELECT AVG(Price) AS AveragePrice, CategoryID FROM Products GROUP BY CategoryID;. [S1]

⚖️ 모순 및 업데이트 (Contradictions & updates)

소스에서 모순되는 정보는 발견되지 않음.

🛠️ 적용 사례 (Applied in summary)

현재 발견된 실제 적용 사례가 없습니다 — "평균 이상/이하" 필터링은 실무 리포트에서 흔한 패턴이다. [S1]

💻 코드 패턴 (Code patterns)

Above-average filter using AVG() as subquery (SQL):

SELECT * FROM Products
WHERE Price > (SELECT AVG(Price) FROM Products);

✅ 검증 상태 및 신뢰도

상태: draft
검증 단계: conceptual
출처 신뢰도: B (W3Schools — widely used educational reference, not a primary standards body)
신뢰 점수: 0.90
중복 검사 결과: 신규 생성 (New discovery)

🔗 지식 그래프 (Knowledge Graph)

상위/루트: SQL Tutorial
관련 개념: SQL Aggregate Functions, SQL Group By, SQL Where
참조 맥락: 평균값 계산 및 평균 대비 비교 필터링의 기본 함수.

📚 출처 (Sources)

[S1] W3Schools — SQL AVG() Function — https://www.w3schools.com/sql/sql_avg.asp

📝 변경 이력 (Change history)

2026-07-04: Initial draft synthesized from the W3Schools "SQL AVG() Function" page (Astra wiki-curation, P-Reinforce v3.1 format).

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