
VISUALIZING INFORMATION FOR EFFECTIVE DECISION-MAKING: AN EXPLORATION OF INFORMATION VISUALIZATION TECHNIQUES
Vishal Raj Purohit , Department Of Computer Science Master Of Technology Nirma University, India Jayasurya K. , Department Of Computer Science Master Of Technology Nirma University, IndiaAbstract
Information visualization is an effective means of transforming complex data into understandable and actionable insights. With the increasing amount of data being generated in today's digital age, there is a need for efficient and effective techniques to analyze and make sense of this data. This paper presents an exploration of information visualization techniques and their application to decision-making processes. The paper begins by defining information visualization and discussing its benefits. It then explores various information visualization techniques including charts, graphs, heat maps, and network diagrams, and provides examples of their application. The paper also discusses the importance of design principles in information visualization and provides guidelines for creating effective visualizations. Finally, the paper concludes with a discussion of the challenges and future directions of information visualization.
Keywords
Data visualization, , Infographics, Dashboard
References
Card, S., Mackinlay, J., & Shneiderman, B. (Eds.). (1999). Readings in Information Visualization: Using Vision to Think (1st ed.). Morgan Kaufmann.
Few, S. (2012). Information Dashboard Design: Displaying Data for At-a-Glance Monitoring (2nd ed.). O'Reilly Media, Inc.
Heer, J., & Shneiderman, B. (2012). Interactive Dynamics for Visual Analysis. Communications of the ACM, 55(4), 45-54.
Kelleher, C., & Tierney, B. (2018). Data Visualization with R (1st ed.). Springer.
Munzner, T. (2014). Visualization Analysis and Design (1st ed.). CRC Press.
Tufte, E. R. (2001). The Visual Display of Quantitative Information (2nd ed.). Graphics Press.
Ware, C. (2012). Information Visualization: Perception for Design (3rd ed.). Morgan Kaufmann.
Wilkinson, L. (2012). The Grammar of Graphics (2nd ed.). Springer Science & Business Media.
Wong, D. (2010). The Wall Street Journal Guide to Information Graphics: The Dos and Don'ts of Presenting Data, Facts, and Figures (1st ed.). W. W. Norton & Company.
Yau, N. (2011). Visualize This: The FlowingData Guide to Design, Visualization, and Statistics (1st ed.). Wiley.
Article Statistics
Downloads
Copyright License
Copyright (c) 2023 Vishal Raj Purohit, Jayasurya K.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright and Ethics:
- Authors are responsible for obtaining permission to use any copyrighted materials included in their manuscript.
- Authors are also responsible for ensuring that their research was conducted in an ethical manner and in compliance with institutional and national guidelines for the care and use of animals or human subjects.
- By submitting a manuscript to International Journal of Computer Science & Information System (IJCSIS), authors agree to transfer copyright to the journal if the manuscript is accepted for publication.