
【計】 statistical collection routine; statistics collector
Statistical collection programs, known as "統計收集程式" in Chinese, refer to systematic software tools or methodologies designed to gather, process, and analyze quantitative data across various fields. These programs are foundational in transforming raw data into actionable insights, adhering to technical standards such asGB/T 32905-2016 for cryptographic application security (National Standard of China) andISO/IEC 25012 for data quality management (International Organization for Standardization).
From an implementation perspective, these programs typically integrate modules fordata extraction (e.g., APIs, sensors),storage optimization (using databases like MySQL or Hadoop), andanalytical processing (via platforms like Python's Pandas or R語言). For example, the U.S. National Institute of Standards and Technology (NIST) emphasizes their role in ensuring data integrity through frameworks likeSP 800-160 for systems security engineering.
In regulated industries, compliance with policies like China'sCybersecurity Law (Article 37) and the EU'sGeneral Data Protection Regulation (GDPR) is critical. Academic research further validates their utility, as seen in studies published in theJournal of Statistical Software, which highlight applications in machine learning and IoT systems.
“統計收集程式”是指根據研究目的,運用科學方法系統收集、整理數據的過程,是統計工作的基礎環節。以下是具體解析:
統計收集程式是統計工作的第一階段,強調有組織、有計劃地獲取原始數據。其核心作用是為後續的數據分析提供可靠基礎,直接影響研究結果的準确性和有效性。
明确目的與範圍
根據研究需求确定數據收集的目标對象、指标和時間範圍,例如人口普查需明确區域和人口特征。
選擇收集方法
實施數據采集
采用抽樣調查或全面普查等方式,确保數據代表性和時效性。
數據整理與校驗
對原始數據進行分類、彙總,并通過邏輯檢查排除異常值,提升數據質量。
通過以上程式,統計收集能夠為分析提供結構化數據支持,是連接實際問題與統計結論的橋梁。
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