
【计】 statistical collection routine; statistics collector
Statistical collection programs, known as "统计收集程序" 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语言). 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.
“统计收集程序”是指根据研究目的,运用科学方法系统收集、整理数据的过程,是统计工作的基础环节。以下是具体解析:
统计收集程序是统计工作的第一阶段,强调有组织、有计划地获取原始数据。其核心作用是为后续的数据分析提供可靠基础,直接影响研究结果的准确性和有效性。
明确目的与范围
根据研究需求确定数据收集的目标对象、指标和时间范围,例如人口普查需明确区域和人口特征。
选择收集方法
实施数据采集
采用抽样调查或全面普查等方式,确保数据代表性和时效性。
数据整理与校验
对原始数据进行分类、汇总,并通过逻辑检查排除异常值,提升数据质量。
通过以上程序,统计收集能够为分析提供结构化数据支持,是连接实际问题与统计结论的桥梁。
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