Electronic table general-purpose data parsing and leading-in method

Abstract

The invention discloses a method for analyzing and importing general data of an electronic form, which aims to solve the problems of the data analysis and importing of declaration materials such as applications and reports which take the electronic form as a carrier, and realize the universality of analytical and importing logic by abstracting a data analysis and importing model of the electronic form and establishing the data analysis and importing model inside a template file of the electronic form. The method comprises: (1) the data analysis and importing model; (2) a data positioning mode; (3) representation modes of primary and external keys; (4) a judgment rule of effective record of a multi-row table; (5) the processing of an enumeration value; and (6) the safety of the model. The adoption of the method can realize the self-explanation of data of the electronic form, improve the reusability and maintainability of the analytical and importing logic, and reduce workload of repeating coding during the hard coding of the analytical and importing logic.

Description

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AI Technical Summary

Benefits of technology

This technology helps analyze large amounts of tabular data quickly without any extra steps or complicated calculations. It allows for more complex models based on realistic scenarios such as sales transactions. Additionally, this technique improves efficiency when generating analyzes from analyzed data sources. Overall, these technical improvements improve performance and functionality of an algorithm used during simulation testing.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficiency and reliance of creation of documents containing electronform content. Specifically, current methods require manual entry from an administrator who manually enters specifications onto tables stored within their computer systems. However, these existing ways have limitations like requiring significant effort and being prone to user error due to poor documentation quality. Therefore there is a demand for efficient automation tools that allow administrators to efficiently enter large amounts of data without having excessive repetitive tasks.