Research On Visual Management Of University Educational Affairs Based On Big Data

The advent of the information age and the rapid development of big data and artificial intelligence technology have reversed people's perception of data science.From a computer science perspective,data is the smallest element that makes up the architecture.With the gradual popularization of information technology,people have entered the era of information explosion.Massive data is a double-edged sword.It is not only the original driving force for the rapid development of computer science,but also the original evil that causes information to expand and cover up the true data relationship.In the face of massive data,it can be said that it is difficult for manpower to tap the key,but computers can help us to acquire knowledge.Especially with the popularity of big data technology and distributed computing,dealing with massive data has become a reality.For the education industry,since the implementation of paperless office and expanded enrollment,the domestic education industry information data began to grow on a geometric basis.In the face of huge information data,policy makers are eager to acquire key knowledge.Based on the ability to process data in the era of big data,mining key information is no longer a critical issue.There is a new need for the intuitive presentation of key knowledge.Human senses are the subjects that receive the information most quickly,directly,and efficiently.Compared with observing complicated charts,people tend to see images at a glance,which is understood by visual autonomy to be visually driven.This poses a challenge to the traditional information presentation.How to present the key knowledge in the data intuitively and efficiently becomes a new appeal.Therefore,a data visualization technology that efficiently and intuitively presents information is gradually taking shape.This paper will propose a new multi-source data visualization technology based on previous research,and fully analyze the data from a multi-dimensional perspective.And verify the actual multivariate data,and build a data visualization system to fully discover the inherent knowledge of the data.