refactor(topics): 멀티 에이전트용 지식 재편 — _Common(공통 기본기) + Domain_* 구조

에이전트 8종(대화형/프로그래머 C·S/디자이너/설계자/기획자/QA/PD/PM)에게 [공통 기본 능력 + 롤별 Specialty] 2층으로 지식을 주입하기 위한 재분류. 문서 내용·포맷은 무수정, 폴더 이동만 (6,372개 문서 수 보존 확인). - Topic_Programming → Domain_Programming (내부 구조 보존) - Topic_Graphic → Domain_Design - Topic_Business → Domain_Product - Topic_General → Domain_General - _Common 신설: Math(구 Topic_Math_Specialty), Reasoning(구 General/From_Thinking & Reasoning), Reasoning_Creativity(구 General/From_창의성), Communication(Poetic_Blog_Writing + From_writing) - 타 도메인의 From_* 폴더는 유지 (출처 표기일 뿐, 이미 도메인에 맞게 분류된 문서) - 빈 폴더 정리 (memory/procedures) - 에이전트→폴더 매핑은 workspace의 .astra/agent-knowledge-map.json (9개 에이전트) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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+---
+id: sql-avg
+title: "SQL Avg"
+category: "Database"
+status: "draft"
+verification_status: "conceptual"
+canonical_id: ""
+aliases: ["SQL AVG() Function", "AVG function", "SQL 평균"]
+duplicate_of: ""
+source_trust_level: "B"
+confidence_score: 0.9
+created_at: 2026-07-04
+updated_at: 2026-07-04
+review_reason: ""
+merge_history: []
+tags: ["sql", "database", "w3schools", "avg", "aggregate"]
+raw_sources: ["https://www.w3schools.com/sql/sql_avg.asp"]
+applied_in: []
+github_commit: ""
+---
+
+# [[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):
+```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).