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Data processing method for multi-level pull-down question types in online questionnaire survey system

A data processing and data technology, applied in the field of data processing of multi-level drop-down questions, can solve the problems of slow data processing and analysis, unsatisfactory results, slow reading, etc.

Pending Publication Date: 2021-01-01
长沙冉星信息科技有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] This traditional storage method needs to combine all classifications from the database into a tree structure every time. The deeper the hierarchy, the slower the reading. Moreover, when performing statistical analysis of each level of data, when the amount of answer sheet data is large , the speed of data processing and analysis is slow and the effect is not ideal

Method used

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  • Data processing method for multi-level pull-down question types in online questionnaire survey system
  • Data processing method for multi-level pull-down question types in online questionnaire survey system
  • Data processing method for multi-level pull-down question types in online questionnaire survey system

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Embodiment 1

[0034] A data processing method for a multi-level drop-down question type in an online questionnaire survey system includes the following steps:

[0035] S1: Questionnaire data input - the questionnaire publisher enters all multi-level drop-down question data sources;

[0036] S2: Questionnaire data processing - process the S1 data as a string, use the replace() function to replace, and then use the string connection operation to combine them and convert them into byte streams and write them to the storage device;

[0037] S3: Read the format data stored in the step S2, convert it into a user interface, and use it as a questionnaire method to perform multi-level drop-down selection;

[0038] S4: Answer sheet data input - several fillers fill in several copies of the questionnaire obtained in S3, and enter the answer sheet data of the equivalent number of fillers;

[0039] S5: Questionnaire data processing - process the data in S4 according to the steps of S2, perform string p...

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Abstract

The invention provides a data processing method for multistage pull-down question types in an online questionnaire survey system. The data processing method comprises the following steps: S1, inputting questionnaire data; S2, processing questionnaire data; S3, reading format data stored in the step S2, converting the format data into a user interface, taking the user interface as a questionnaire mode, and performing multi-level pull-down selection; S4, inputting answer sheet data; S5, processing questionnaire data; S6, reading all answer sheet data in S5, grouping the data by using group, grouping the data according to multi-level pull-down answers, and counting the frequency of each answer; S7, splitting the multi-level pull-down answers by using spit, carrying frequency, and converting the multi-level pull-down answers into a list array; and S8, outputting. According to the scheme, storage is simpler, the query is quicker, and the performance of the scheme can be better manifested along with the increase of the number of data sources, the increase of answer sheets and the increase of hierarchies.

Description

technical field [0001] The invention belongs to the technical field of data table processing, and in particular relates to a data processing method for multi-level drop-down questions in an online questionnaire survey system. Background technique [0002] Multi-level drop-down questions are a commonly used question type in online questionnaire surveys. Questionnaire fillers can choose the items they need to fill in hierarchically from the data sources set by the questionnaire publisher, such as: plants—vegetables—cucumbers, Animals—birds—hawks, animals—fish—crucian carp can theoretically support N levels, and there is no limit to the number of settings. [0003] In the online questionnaire system, this data mainly appears in two places: in the questionnaire setting and in the answer sheet answer. The data source of the questionnaire is very "complete", but not repeated, and the answer in the answer sheet is "many", and there are repetitions. [0004] In mainstream program ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/18
CPCG06F40/18Y02D10/00
Inventor 李文轩
Owner 长沙冉星信息科技有限公司
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