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数据缺失现象不仅干扰调查精度,也影响数据分析者后续工作的有效开展。由于种种原因,在针对规模以下服务业企业开展抽样调查时,数据缺失现象屡有发生。因此,为使规模以下服务业抽样调查取得更理想的结果,本文通过总结福州地区规模以下服务业调查实际操作经验,尝试对缺失数据进行有效补救,分析这些数据补救方法的适用性,进而判断在对规模以下服务业缺失数据进行补救时,需要结合实际回访企业中搜集到的各调查样本单位的具体情况与不同插补法的特点进行有效插补才能取得较好结果。
Data loss not only interfere with the accuracy of the survey, but also affect the follow-up work of data analysts to carry out effectively. Due to various reasons, data loss often occurs when conducting sample surveys on service enterprises below the designated size. Therefore, in order to get a better result for sample survey of service industry below the scale, this paper tries to find out the applicability of these data remediation methods by summing up the practical experience of service industry surveys in the following scale of Fuzhou area, In order to remedy the missing data below the scale in the service industry, we need to make effective interpolation based on the actual situation of each survey sample collected by enterprises and the characteristics of different interpolation methods to get better results.