Processing method of sample data in television program assessment surveying process

Abstract

The invention relates to a processing method of sample data in the television program assessment surveying process. The processing method is characterized in that sample selection conditions are described by adopting languages in a DSL (Digital Subscriber Line) field, condition sequences are converted into composite predicate expression trees through a resolver, expression trees and raw data are loaded into an actuator for limiting operation, and finally corresponding relational data subsets are output. Compared with the prior art, the processing method can be used for realizing the function of selecting samples according to arbitrary multiple conditions and has the advantages of relatively good completeness, expansibility, portability and the like.

Description

technical field [0001] The invention relates to a data processing method, in particular to a processing method for TV program evaluation survey sample data. Background technique [0002] In the investigation of TV program evaluation, reasonable and accurate sample selection and management of the overall sample group is the basis and premise of completing scientific research, and it is also the fundamental guarantee for the realization of effective research data. [0003] TV program evaluation and research sample screening and management technology is a technology that can realize multi-condition and multi-definition sample screening; the combination of manual label addition and software automatic screening; the technical application of multi-level management of samples to achieve convenient, fast and efficient sample extraction. . In recent years, with the development of precise management requirements for stratified samples in various research work, the application field o...

AI Technical Summary

Problems solved by technology

Manually extract samples by manually sorting and numbering the samples to form a sample sampling frame, and then draw samples according to certain rules and proportions. This method is time-consuming and labor-intensive. There are certain difficulties in the proportion of the sample, and it is difficult to track the sample change, adjustment and replacement in a timely manner, which is likely to cause errors and omissions; computer-aided extraction, usually using EXCEL spreadsheet software to set formulas and screening conditions to filter and manage samples, Assist in the completion of the sampling work, generally provide a fixed number of conditions to filter, and when the value of the condition changes or the condition changes, the program design of the data screening needs to be re-designed. , to filter out samples with various attributes and attribute values ​​intersecting, and also consider the changes of attributes. The extraction of multiple definitions of each element of the sample makes it impossible to track, filter, and push the sample, so as to achieve effective management

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