Dynamic chart construction method for diversified index analysis

Abstract

The invention discloses a dynamic chart construction method for diversified index analysis, is applied to the technical field of visual chart editing, and aims at solving the problem that a traditional chart construction method is not suitable for multivariate data analysis, and the method comprises the steps that diversified index attribute analysis is performed according to characteristics of metadata to form source data; meanwhile, a thematic data standard is introduced to integrate data information so as to form a data chart source presented by each theme service chart, and related technical means are utilized to edit and dynamically construct a visual chart for styles, codes, interactions and the like of an interface; meanwhile, the dynamic retrieval technology is used for retrieval of source data, data information is visually presented in the established charts, and finally various configured charts are combined and loaded according to different service requirements and businesses to finally form a data visual display set based on the service.

Description

technical field [0001] The invention belongs to the technical field of visual chart editing, in particular to a chart construction technology. Background technique [0002] With the wide application of computers and the development of network technology, people's statistics on data have gradually evolved from the previous paper statistics to the use of computer visualization charts for input, storage and display. Computer charts can intuitively display the relevant attributes of data statistics. Through the configurable dynamic construction technology, the data visualization effect can be presented conveniently, and the same data information can also be analyzed and displayed in multiple dimensions. The graphic structure that plays a key role in knowledge mining and intuitive perception of information is a good way to combine objects. A "visualization" means for the intuitive image of attribute data. [0003] Traditional chart construction methods: [0004] 1) The construc...

AI Technical Summary

Problems solved by technology

[0004] 1) The built chart display method is single, and the data correlation is not strong enough to present the data information well

[0005] 2) The data displayed in the chart is partial, and the data indicators cannot be displayed in a timely and comprehensive manner

[0006] 3) For metadata with a large amount of data and complex logic, the configured chart is not intuitive enough

[0007] 4) The whole data import and data integration are more complicated, and the usability is not strong

[0008] 5) Once the chart is constructed, it is difficult to maintain and adjust later, and the maintainability is poor

[0009] 6) It is not possible to flexibly build similar charts, and it is not convenient to construct diversified charts with the same metadata, and the portability is very weak

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