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id, title, category, status, verification_status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, created_at, updated_at, review_reason, merge_history, tags, raw_sources, applied_in, github_commit
id title category status verification_status canonical_id aliases duplicate_of source_trust_level confidence_score created_at updated_at review_reason merge_history tags raw_sources applied_in github_commit
sql-avg SQL Avg Database draft conceptual
SQL AVG() Function
AVG function
SQL 평균
B 0.9 2026-07-04 2026-07-04
sql
database
w3schools
avg
aggregate
https://www.w3schools.com/sql/sql_avg.asp

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]
  • SyntaxSELECT 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 baselineWHERE 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)

📚 출처 (Sources)

📝 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).