数据质量常见问题

本文探讨了数据质量检查的几个关键指标:一致性、完整性、准确性、范围和唯一性,通过实例展示了如何评估这些指标,并指出数据质量问题的潜在影响。
Data QualityIssueSample Data Problem
StandardAre data elements consistently defined and understood?Gender code =M,F,U in one system and Gender code = 0, 1, 2 in another system
CompleteIs all necessary data present?20% of customers’ last name is blank, 50% of zip-codes are 99999
AccurateDoes the data accurately represent reality or a verifiable source?A supplier is listed as ‘Active’ but went out of business six years ago
ValidDo data values fall within acceptable rangesSalary values should be between 60,000 – 12,000
UniqueData appears several timesBoth John Ryan and Jack Ryan appear in the system – are they the same person?

 

DQS…

转载于:https://www.cnblogs.com/aot/archive/2011/11/23/2260426.html

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