数据缺失及处理方法探析

Data is missing and fill method in this paper

发生数据的缺失会使得任务分析难度增加,使得结果产生偏差,会使统计工作效率降低,因此必须找到有效的数据填补方法。本文总结了缺失数据产生的原因及数据缺失的类型,分析讨论了针对不同缺失数据类型的处理方法、策略及优缺点,给出了缺失数据填补的使用原则。

The lack of data will make more task analysis, makes the result deviation, will lower the efficiency of statistical work, therefore must find effective data packing method. This paper summarizes the causes of missing data and the type of data missing, missing for different types of data processing were discussed by the method, strategies, and the advantages and disadvantages, missing data fill the use of the principle is presented.