Effective Visualization Techniques for Multi-dimensional Data: A Comparative Analysis

Sivanagaraju Gadiparthi

Abstract: Successful visualization of complex multidimensional data is probably required to obtain meaningful insights and decision-making that can be applied in different disciplines. The review presents and contrasts some of the most prominent techniques related to data visualization: scatter plots, parallel coordinates, heat maps, and treemaps. About their effectiveness, the paper reviews their usefulness in enabling user comprehension and engagement. We quantify how these techniques facilitate understanding and interaction with multidimensional data sets that were qualitatively evaluated through a systematic analysis of existing literature, user studies, and expert feedback. This analysis finds that there are indeed significant differences in effectiveness, with the most crucial factors being visual design, the intrinsic complexity of the data, and the user interface. This review contrasts the strengths and weaknesses of each technique and makes recommendations for practical application such that the reader while making a choice of suitable visualization tools for specific needs, is guided. In essence, this paper serves to lay down a good reference for both novices and experts working in the domain of data visualization, which, hopefully, would lead to better practices and further research into effective data presentation.

Keywords: Data Visualization, Multi-dimensional Data, User Engagement, Visualization Effectiveness

How to Cite?: Sivanagaraju Gadiparthi, "Effective Visualization Techniques for Multi-dimensional Data: A Comparative Analysis", Volume 13 Issue 5, May 2024, International Journal of Science and Research (IJSR), Pages: 152-156, https://www.ijsr.net/getabstract.php?paperid=SR24501104057, DOI: https://dx.doi.org/10.21275/SR24501104057