Data Visualization Design: Strategies for Optimizing Information Delivery and Decision Support
Year: 2025
Type: article
Abstract: This paper explores the fundamental concepts, methods, and principles of data visualization design. It provides a detailed analysis of key steps, such as data preprocessing, graphic design, interaction design, and multidimensional data visualization. The paper discusses how scientific design can enhance the readability and comprehensibility of data. Furthermore, it examines the role of data visualization as a crucial tool for information delivery and decision support in modern society, highlighting the importance of design principles such as simplicity, clarity, and consistency in improving data presentation. Finally, the paper looks ahead to the future development trends of data visualization design, particularly the application of augmented reality, virtual reality, and artificial intelligence technologies, which are expected to greatly advance the intelligence, personalization, and interactivity of data visualization.
Author: Yingquan Wang
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410779334