Intelligent data analysis method and system

Abstract

The invention discloses an intelligent data analysis method which comprises the following steps: setting database configuration information, and establishing a data interface according to the databaseconfiguration information; acquiring original data through a data interface; performing modeling processing on the original data to generate a standard data table; newly establishing a visual programcomponent, and performing data analysis on the standard data table through the visual program component to generate a data chart; carrying out layout processing on the data chart to generate a display chart; and publishing presentation charts. Correspondingly, the invention further discloses an intelligent data analysis system. By adopting the method, the data analysis process is simplified, thedata analysis speed is increased, and the analysis result is published in real time.

Description

technical field [0001] The present invention relates to data analysis technology, in particular to an intelligent data analysis method and system Background technique [0002] With the advent of the era of big data, the effective analysis and utilization of data has become an important content of efficient information construction. With the gradual deepening of application information in colleges and universities and the deepening of management refinement, the massive data makes it impossible for college users to view one by one. Teachers and students in colleges and universities have an increasingly strong demand for effective data analysis tools. [0003] Existing data analysis tools are generally implemented based on the entire industry, and have many and complex functions. In fact, the users are basically professional data analysts. Since most domestic enterprises and colleges and universities have not set up special data analysis positions, the learning cost for users...

AI Technical Summary

Problems solved by technology

[0003] Existing data analysis tools are generally based on the implementation of the entire industry, with many functions and complex functions. In fact, the users are basically professional data analysts

Since most domestic enterprises and universities have not set up special data analysis positions, users have high learning costs and complex operations that are difficult to learn

Moreover, for college users, the large and complete functions of the existing technology account for a very low proportion of the actual use functions.

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