Abstract
The science that emerged with big data is data science, and it is the study of data that creates information and knowledge from data. The products using data science are data, code, visualization results, recommendations, digital services, etc., and they interact with each other and continuously develop. Information visualization means to shape data so that meaning is generated as information by using graphic elements to more effectively convey information to users. Because Jacques Bertin can be used as the most efficient means of expression that can easily convert complex semantic structures such as comparisons between numerical (quantitative) data and relationships between sequences and ratios through the use of graphic elements. He said that it can help you to perceive and understand. Through the case study, it was confirmed that the graphic elements for information visualization are not used as a single element but as a composite element, and in particular, transparency and saturation are used as useful elements to express visual texture.This study focused on the characteristics and graphic elements of data visualization based on data science based on examples before and after improvement of information visualization, but in the future information visualization, on the principles of formative representation for metaphorical expression and metaphorical expression Research is needed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
