A New Approach for Visual Analytics Applying to Multivariate Data of Student Intakes in the University

Human always has the ability to view things and phenomena, but to understand about it that depends on the ability to perceive as well as combine with existing experiences and knowledge which is available in every human to understand it. This research studies the human vision organs, infographics capture characteristics of the human eye, human vision awareness progress, and human visual viewing - thinking mechanisms to design visual analytics system of multivariate data (mdVAS), model of viewing - thinking visually analyzing, and visual graphs for discovering knowledge from multivariate data (mD). This mdVAS will support to upgrade human vision awareness progress that includes stages such as viewing - perceiving - cognizing - analyzing - understanding - remembering (vpcaurHs). This progress, especially the analysis stage plays a key that opens the door for human to understand the profound significance of things. Humans who want to understand the profound insights of things must bring out questions, at that time the mdVAS will enhance knowledge for humans to answer questions that humans themselves brought out. This approach will help humans, especially leaders, who have a profound insight into mD. This research illustrates experiments on educational data to manage the student intakes to help leadership on policy and decision making.