High-dimensional Data Visualization Of Multiple Visual Variable Effectiveness Research

With the development of computer science and cloud computing,data become more and more complex,including many high-dimensional data.Effective visualization processing of high-dimensional data is an important method to reduce users' cognitive load and improve data transmission efficiency.The visualization processing method is mainly visual coding of data.As the medium of visual presentation,visual variables are of great significance for information transmission.Because more visual variables for use in pairs,and at present most of the studies are only focused on the visual variables independent variable vision,is not conducive to improve the efficiency of visual encoding,therefore,this article focuses on independent variables of high-dimensional data visualization and systematic study of multiple variables,combing visual relationship between variables and characteristics of high-dimensional data representation,combined with the user's cognitive characteristics,effectiveness of visual perception experiment to explore the multiple visual variable income law case according to the experiment and design.The characteristics of static and dynamic attributes of high-dimensional data and the cognitive characteristics of users are combined to deeply analyze the static and dynamic visual variables.At the same time,a new classification scheme of visual variables is proposed according to the visual characteristics of high-dimensional data.Secondly,based on the cognitive characteristic of the visual interface and the cognitive load theory foundation,analysis of multiple cognitive features and the effect of visual perception,visual variables from multiple visual variables "lenovo-separation" to explore the characteristic difference between variables with level a variety of combinations of visual perception characteristics,and under to enrich the theory of bedding,put forward the concept of multiple visual variable sequence of visual perception,at the same time studying multiple visual variable coding strategy based on this concept.Visual variables are not only used in visual presentation.The analysis of interactive visual variable coding in this paper expands the application field of visual variables.This study uses JavaScript to build an experimental system,and the experiment is carried out on the interface of this system.SPSS and excel were used to analyze the experimental data,and finally some Suggestions on the validity of visual coding were obtained.Finally,the case of population migration based on spatiotemporal data is selected as the design object,and the law obtained from the experiment is combined with the design practice.