Data generalization analysis method

The invention discloses a data generalization analysis method, and relates to the technical field of data analysis, and the method comprises the steps: obtaining heterogeneous data, obtaining a corresponding direct conversion score and an indirect conversion score according to the heterogeneous data, selecting a conversion mode for conversion according to the direct conversion score and the indirect conversion score, and obtaining structured data; and deleting duplicated data and screening important data from the structured data to obtain purified data. According to the method, the conversion mode is determined through the indirect conversion score and the direct conversion score to perform conversion analysis of the heterogeneous data, the target granularity is determined according to parameters such as the data reduction rate, repeated data is deleted, and important data is screened, so that the analysis effect and the data processing efficiency are improved. 本发明公开了一种数据泛化解析方法，涉及数据解析技术领域，包括，获取异构数据，根据异构数据得到对应