技能 datacommons-client
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存取來自 Data Commons 的全球統計數據，包括人口、經濟、健康和環境指標。使用 Python 客戶端方法查詢人口數據、GDP、失業率和地理關係。
支援: Claude Codex Code(CC)
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下載技能 ZIP
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在 Claude 中上傳
前往 設定 → 功能 → 技能 → 上傳技能
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開啟並開始使用
測試它
正在使用「datacommons-client」。 取得法國和德國的人口
預期結果:
- 法國：67,848,156 人（2023 年）
- 德國：84,358,845 人（2023 年）
- 數據來源：World Bank
正在使用「datacommons-client」。 顯示美國 2018 年至 2023 年的失業率趨勢
預期結果:
- 2018 年：3.9%
- 2019 年：3.7%
- 2020 年：8.1%
- 2021 年：5.4%
- 2022 年：3.6%
- 2023 年：3.6%
安全審計
低風險v4 • 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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⚙️ 外部命令 (200)
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🌐 網路存取 (46)
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審計者: claude 查看審計歷史 →
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你能建構什麼
比較區域統計數據
查詢並比較多個州或國家的人口、收入和失業率數據。
存取歷史趨勢
檢索經濟指標、衛生統計或環境測量的時間序列數據。
建構數據驅動應用程式
使用 Python 客戶端函式庫方法將公共統計數據整合到應用程式中。
試試這些提示
基本查詢
使用 Data Commons 客戶端獲取加利福尼亞州、德克薩斯州和紐約的最新人口數據。
時間序列
查詢美國從 2010 年到 2023 年的失業率時間序列。
地理層級
獲取加利福尼亞州所有縣 2020 年的家庭收入中位數。
多變量
比較佛羅里達州、喬治亞州和南卡羅來納州的人口、家庭收入中位數和年齡中位數。
最佳實務
- 在查詢前始終將地名解析為 DCID，以處理歧義名稱
- 使用實體表達式高效查詢層級結構（一次查詢某州的所有縣）
- 重複查詢相同實體時快取 DCID 解析結果
避免
- 硬編碼 DCID 而非動態解析名稱
- 對每個實體進行單獨查詢而非批次查詢
- 忽略數據來源層面以確保一致性
常見問題
什麼是 Data Commons？
Data Commons 是一個平台，匯集了來自人口普查局和衛生組織等來源的公共統計數據，整合到統一的知識圖譜中。
我需要 API 金鑰嗎？
是的，對於 datacommons.org 需要 API 金鑰。請至 apikeys.datacommons.org 申請，並透過 DC_API_KEY 環境變數設定。
有哪些數據類型可用？
全球各地點的人口、收入、失業率、衛生統計、環境數據和地理關係。
如何查找統計變量？
使用 fetch_available_statistical_variables() 檢查某實體的數據，或至 datacommons.org/tools/statvar 瀏覽。
可以查詢歷史數據嗎？
可以，將日期參數設為 'all' 以檢索完整的時間序列進行趨勢分析。
什麼是 DCID？
DCID（Data Commons 識別符）是實體的唯一識別碼。使用解析 API 將地名轉換為 DCID。