Visualized analysis method based on industry data

Abstract

The invention discloses a visualized analysis method based on industry data. The visualized analysis method includes capturing the industry data on the internet, performing integrated analysis on the industry data and industry internal organization data, performing internet data arrangement, and by the aid of the R-language analysis technology and front-end display charts, displaying the data in terms of different dimensionalities according to industry requirements. Compared with the prior art, the visualized analysis method based on the industry data has the advantages of capabilities of classifying the data effectively, filtering useless data and expressing forms clearly and high analysis speed, and the problem about data match due to the fact that in spite of desiring to know dynamic market change, improve service quality, increase goal achievement rate and the like, existing enterprises in many industries cannot display and analyze the internet data through visualized interfaces and cannot combine the internet data with own industry internal organization data is solved.

Description

technical field [0001] The invention relates to the technical field of computer network data, in particular to a visual analysis method based on industry data. Background technique [0002] Today is the era of data explosion. The data on the Internet will bring a lot of useful information to enterprises and merchants. However, in the face of all kinds of data, they will face the following problems: [0003] 1) There are various types of data and different data structures; [0004] 2) There are too many useless data, which leads to cumbersome data analysis; [0005] 3) The statistical table display is single; the results of the analysis data cannot be clearly displayed; [0006] 4) Data interactivity is poor; information cannot be clearly expressed; [0007] 5) The analysis speed is slow and the data cannot be parsed efficiently. [0008] Enterprises in many industries are now facing: in order to achieve goals such as understanding market dynamics, improving service quali...

AI Technical Summary

Problems solved by technology

[0003] 1) There are various types of data and different data structures;

[0004] 2) There are too many useless data, which leads to cumbersome data analysis;

[0005] 3) The statistical table display is single; the results of the analysis data cannot be clearly displayed;

[0006] 4) Data interactivity is poor; information cannot be clearly expressed;

[0007] 5) The analysis speed is slow and the data cannot be parsed efficiently

[0008] Enterprises in many industries are now facing: in order to achieve goals such as understanding market dynamics, improving service quality, and increasing target achievement rates, they cannot display, analyze, and combine data matching with their own industry internal organizational data through a visual interface.

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