Fähigkeiten datacommons-client
📊
datacommons-client
Niedriges Risiko ⚙️
Externe Befehle🌐
Netzwerkzugriff🔑
Umgebungsvariablen
Data Commons에서 공개 통계 데이터 조회
Auch verfügbar von: davila7
Data Commons에서 인구통계, 경제, 건강, 환경 지표를 포함한 글로벌 통계 데이터에 접근하세요. Python 클라이언트 메서드를 사용하여 인구 수, GDP, 실업률 및 지리적 관계를 조회할 수 있습니다.
Unterstützt: Claude Codex Code(CC)
1
Die Skill-ZIP herunterladen
2
In Claude hochladen
Gehe zu Einstellungen → Fähigkeiten → Skills → Skill hochladen
3
Einschalten und loslegen
Teste es
Verwendung von "datacommons-client". 프랑스와 독일의 인구 조회
Erwartetes Ergebnis:
- 프랑스: 67,848,156명 (2023)
- 독일: 84,358,845명 (2023)
- 데이터 소스: World Bank
Verwendung von "datacommons-client". 2018년부터 2023년까지 미국 실업률 추이 표시
Erwartetes Ergebnis:
- 2018년: 3.9%
- 2019년: 3.7%
- 2020년: 8.1%
- 2021년: 5.4%
- 2022년: 3.6%
- 2023년: 3.6%
Sicherheitsaudit
Niedriges Risikov4 • 1/17/2026
This skill is a documentation wrapper for the Data Commons Python client library. All static findings are FALSE POSITIVES: the scanner misinterprets markdown code block delimiters as shell commands, API call examples as network threats, and legitimate documentation patterns as credential exposure. The skill enables read-only access to public statistical data with no code execution capabilities beyond package installation documentation.
6
Gescannte Dateien
2,822
Analysierte Zeilen
3
befunde
4
Gesamtzahl Audits
Risikofaktoren
⚙️ Externe Befehle (200)
references/getting_started.md:9-15 references/getting_started.md:15-23 references/getting_started.md:23-56 references/getting_started.md:56-62 references/getting_started.md:62-87 references/getting_started.md:87-93 references/getting_started.md:93-118 references/getting_started.md:118-124 references/getting_started.md:124-170 references/getting_started.md:170-176 references/getting_started.md:176-212 references/getting_started.md:212-218 references/getting_started.md:218-241 references/getting_started.md:241-247 references/getting_started.md:247-292 references/getting_started.md:292-298 references/getting_started.md:298-358 references/getting_started.md:358-363 references/getting_started.md:363-367 references/getting_started.md:367-370 references/getting_started.md:370-373 references/getting_started.md:373-376 references/getting_started.md:376-379 references/getting_started.md:379-382 references/getting_started.md:382-386 references/getting_started.md:386-390 references/getting_started.md:390-410 references/getting_started.md:410-416 references/node.md:21 references/node.md:22 references/node.md:22 references/node.md:22 references/node.md:22 references/node.md:23 references/node.md:24 references/node.md:27 references/node.md:28 references/node.md:29 references/node.md:32-48 references/node.md:48-55 references/node.md:55-56 references/node.md:56-59 references/node.md:59-71 references/node.md:71-78 references/node.md:78-79 references/node.md:79-80 references/node.md:80-81 references/node.md:81-84 references/node.md:84-91 references/node.md:91-98 references/node.md:98-100 references/node.md:100-107 references/node.md:107-108 references/node.md:108-111 references/node.md:111-117 references/node.md:117-127 references/node.md:127-132 references/node.md:132-138 references/node.md:138-143 references/node.md:143-149 references/node.md:149-154 references/node.md:154-160 references/node.md:160-165 references/node.md:165-172 references/node.md:172-176 references/node.md:176-181 references/node.md:181 references/node.md:181 references/node.md:181-187 references/node.md:187-188 references/node.md:188-192 references/node.md:192-207 references/node.md:207-213 references/node.md:213-220 references/node.md:220-224 references/node.md:224-233 references/node.md:233-237 references/node.md:237-243 references/node.md:243-247 references/observation.md:17 references/observation.md:18 references/observation.md:18 references/observation.md:19 references/observation.md:23 references/observation.md:24 references/observation.md:25 references/observation.md:26 references/observation.md:27 references/observation.md:37-62 references/observation.md:62-72 references/observation.md:72-77 references/observation.md:77-81 references/observation.md:81-88 references/observation.md:88-89 references/observation.md:89-90 references/observation.md:90-91 references/observation.md:91-92 references/observation.md:92-95 references/observation.md:95-103 references/observation.md:103-108 references/observation.md:108-109 references/observation.md:109-110 references/observation.md:110-111 references/observation.md:111-117 references/observation.md:117-118 references/observation.md:118-124 references/observation.md:124-128 references/observation.md:128-129 references/observation.md:129-135 references/observation.md:135-139 references/observation.md:139-140 references/observation.md:140-146 references/observation.md:146-151 references/observation.md:151-158 references/observation.md:158-163 references/observation.md:163-165 references/observation.md:165-168 references/observation.md:168-178 references/observation.md:178-185 references/resolve.md:22 references/resolve.md:23 references/resolve.md:26-36 references/resolve.md:36-43 references/resolve.md:43-44 references/resolve.md:44-46 references/resolve.md:46-49 references/resolve.md:49-64 references/resolve.md:64-71 references/resolve.md:71-74 references/resolve.md:74-79 references/resolve.md:79-86 references/resolve.md:86-87 references/resolve.md:87-92 references/resolve.md:92-99 references/resolve.md:99-103 references/resolve.md:103 references/resolve.md:103-106 references/resolve.md:106-108 references/resolve.md:108-109 references/resolve.md:109-110 references/resolve.md:110-113 references/resolve.md:113-126 references/resolve.md:126-133 references/resolve.md:133-151 references/resolve.md:151-155 references/resolve.md:155-156 references/resolve.md:156-169 references/resolve.md:169-174 references/resolve.md:174-189 references/resolve.md:189-194 references/resolve.md:194-208 references/resolve.md:208-213 references/resolve.md:213-227 references/resolve.md:227-233 references/resolve.md:233-241 references/resolve.md:241-242 references/resolve.md:242-244 references/resolve.md:244-245 references/resolve.md:245-246 SKILL.md:19-21 SKILL.md:21-24 SKILL.md:24-26 SKILL.md:26-34 SKILL.md:34-44 SKILL.md:44-69 SKILL.md:69-73 SKILL.md:73-83 SKILL.md:83-99 SKILL.md:99-103 SKILL.md:103-112 SKILL.md:112-129 SKILL.md:129-136 SKILL.md:136-143 SKILL.md:143-146 SKILL.md:146-150 SKILL.md:150-153 SKILL.md:153-159 SKILL.md:159-162 SKILL.md:162-168 SKILL.md:168-175 SKILL.md:175-176 SKILL.md:176-177 SKILL.md:177-178 SKILL.md:178-179 SKILL.md:179-180 SKILL.md:180-183 SKILL.md:183-191 SKILL.md:191-197 SKILL.md:197-214 SKILL.md:214-220 SKILL.md:220-221 SKILL.md:221-226 SKILL.md:226-230 SKILL.md:230-232 SKILL.md:232-233 SKILL.md:233-234 SKILL.md:234-235 SKILL.md:235-248 SKILL.md:248-251 SKILL.md:251-252
🌐 Netzwerkzugriff (46)
references/getting_started.md:44 references/getting_started.md:69 references/getting_started.md:97 references/getting_started.md:149 references/getting_started.md:201 references/getting_started.md:222 references/getting_started.md:233 references/getting_started.md:334 references/getting_started.md:17 references/getting_started.md:414 references/getting_started.md:415 references/getting_started.md:417 references/node.md:16 references/node.md:38 references/node.md:44 references/node.md:194 references/node.md:202 references/node.md:239 references/observation.md:12 references/observation.md:43 references/observation.md:50 references/observation.md:57 references/observation.md:81 references/observation.md:119 references/observation.md:130 references/observation.md:141 references/observation.md:153 references/observation.md:169 references/observation.md:185 references/resolve.md:17 references/resolve.md:32 references/resolve.md:146 references/resolve.md:203 skill-report.json:6 SKILL.md:50 SKILL.md:57 SKILL.md:64 SKILL.md:154 SKILL.md:198 SKILL.md:190 SKILL.md:222 SKILL.md:226 SKILL.md:239 SKILL.md:240 SKILL.md:241 SKILL.md:242
🔑 Umgebungsvariablen (5)
Auditiert von: claude Audit-Verlauf anzeigen →
Qualitätsbewertung
45
Architektur
100
Wartbarkeit
85
Inhalt
21
Community
90
Sicherheit
100
Spezifikationskonformität
Was du bauen kannst
지역별 통계 비교
여러 주 또는 국가의 인구, 소득, 실업 데이터를 조회하고 비교합니다.
과거 추세 데이터 접근
경제 지표, 건강 통계 또는 환경 측정치를 위한 시계열 데이터를 검색합니다.
데이터 기반 애플리케이션 구축
Python 클라이언트 라이브러리 메서드를 사용하여 공개 통계 데이터를 애플리케이션에 통합합니다.
Probiere diese Prompts
기본 조회
Data Commons 클라이언트를 사용하여 캘리포니아, 텍사스, 뉴욕의 최신 인구를 가져옵니다.
시계열 조회
2010년부터 2023년까지 미국의 실업률 시계열을 조회합니다.
지리적 계층 구조
2020년 캘리포니아 모든 카운티의 가구 중위 소득을 가져옵니다.
다중 변수 조회
플로리다, 조지아, 사우스캐롤라이나의 인구, 중위 소득, 중위 연령을 비교합니다.
Bewährte Verfahren
- 모호한 이름을 처리하기 위해 장소 이름을 항상 DCID로 변환한 후 조회하세요
- 엔티티 표현식을 사용하여 계층 구조를 효율적으로 조회하세요(한 번에 주 내 모든 카운티)
- 같은 엔티티를 반복 조회할 때 DCID 변환 결과를 캐싱하세요
Vermeiden
- 이름을 동적으로 변환하는 대신 DCID를 하드코딩
- 각 엔티티에 대해 개별 조회 대신 일괄 조회 사용
- 일관성이 중요할 때 데이터 소스 패시트 무시
Häufig gestellte Fragen
Data Commons란 무엇인가요?
Data Commons는 센서서 및 건강 기관 등의 소스에서 공개된 통계 데이터를 통합 지식 그래프로 집계하는 플랫폼입니다.
API 키가 필요한가요?
datacommons.org에 대해서는 필요합니다. apikeys.datacommons.org에서 요청하고 DC_API_KEY 환경 변수를 통해 설정하세요.
어떤 데이터 유형을 사용할 수 있나요?
전 세계 장소에 대한 인구, 소득, 실업, 건강 통계, 환경 데이터 및 지리적 관계를 제공합니다.
통계 변수를 어떻게 찾나요?
fetch_available_statistical_variables()를 사용하여 엔티티에 존재하는 데이터를 확인하거나 datacommons.org/tools/statvar에서 탐색하세요.
과거 데이터를 조회할 수 있나요?
네, date 매개변수를 'all'로 설정하여 추세 분석을 위한 전체 시계열을 검색할 수 있습니다.
DCID란 무엇인가요?
DCID(Data Commons Identifiers)는 엔티티의 고유 키입니다. Resolve API를 사용하여 장소 이름을 DCID로 변환하세요.