Fähigkeiten datacommons-client
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datacommons-client
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Data Commonsから公開統計データを取得する
Auch verfügbar von: davila7
Data Commonsから人口統計、経済、 健康、環境指標を含むグローバル統計データにアクセスします。Pythonクライアントメソッドを使用して、人口、GDP、失業率、地理的関係性をクエリします。
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Teste es
Verwendung von "datacommons-client". Get the population of France and Germany
Erwartetes Ergebnis:
- France: 67,848,156 people (2023)
- Germany: 84,358,845 people (2023)
- Data source: World Bank
Verwendung von "datacommons-client". Show US unemployment trend from 2018 to 2023
Erwartetes Ergebnis:
- 2018: 3.9%
- 2019: 3.7%
- 2020: 8.1%
- 2021: 5.4%
- 2022: 3.6%
- 2023: 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.
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⚙️ Externe Befehle (200)
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🌐 Netzwerkzugriff (46)
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🔑 Umgebungsvariablen (5)
Auditiert von: claude Audit-Verlauf anzeigen →
Qualitätsbewertung
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Architektur
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Wartbarkeit
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Inhalt
21
Community
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Sicherheit
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Was du bauen kannst
地域統計の比較
複数の州や国にわたる人口、収入、失業率のデータをクエリして比較します。
過去の傾向へのアクセス
経済指標、健康統計、環境測定の時系列データを取得します。
データ駆動型アプリケーションの構築
Pythonクライアントライブラリメソッドを使用して公開統計データをアプリケーションに統合します。
Probiere diese Prompts
基本的なクエリ
Get the latest population for California, Texas, and New York using the Data Commons client.
時系列
Query the unemployment rate time series for the United States from 2010 to 2023.
地理的階層
Get median household income for all counties in California for year 2020.
複数変数
Compare population, median income, and median age across Florida, Georgia, and South Carolina.
Bewährte Verfahren
- 曖昧な名前を処理するために、地名を解決してからDCIDをクエリするようにしてください
- エンティティ式を使用して効率的に階層をクエリする（一度に州内の全郡など）
- 同じエンティティを繰り返しクエリする場合はDCID解決をキャッシュする
Vermeiden
- DCIDをハードコードするのではなく、名前を動的に解決する
- 各エンティティに対して個別にクエリするのではなく、バッチクエリを使用する
- 一貫性が重要な場合にデータソースファセットを無視する
Häufig gestellte Fragen
Data Commonsとは？
Data Commonsは、国勢調査局や保健機関などのソースから公開統計データを統合したナレッジグラフプラットフォームです。
APIキーは必要ですか？
datacommons.orgには必要です。apikeys.datacommons.orgでリクエストし、DC_API_KEY環境変数で設定してください。
どのようなデータタイプが利用可能ですか？
人口、収入、失業率、健康統計、環境データ、世界の場所の地理的関係性。
統計変数を 찾는には？
fetch_available_statistical_variables()を使用してエンティティのデータをチェックするか、datacommons.org/tools/statvarで参照してください。
過去のデータをクエリできますか？
はい、dateパラメータを'all'に設定して完全な時系列を取得し、傾向分析を行います。
DCIDとは何ですか？
DCID（Data Commons Identifiers）はエンティティの一意のキーです。Resolve APIを使用して地名からDCIDに変換してください。