Visual Analytics: Need, Process, Scope, Tools & Techniques and Challenges

Authors

  • Shankar R Dept. of Computer Science, Chikkanna Government Arts College, Tirupur, Bharathiar university, Coimbatore, Tamilnadu, India
  • Duraisamy S Dept. of Computer Science, Chikkanna Government Arts College, Tirupur, Bharathiar university, Coimbatore, Tamilnadu, India

DOI:

https://doi.org/10.26438/ijcse/v6i10.153158

Keywords:

visual analytics, information visualization, data analysis, user interaction

Abstract

Visual analytics employs interactive visualizations to integrate users’ knowledge and inference capability into numerical/algorithmic data analysis processes. It is an active research field that has applications in many sectors, such as security, finance, and business.. This paper aims at providing an overview of visual analytics, need, scope, tools and techniques and the most important technical research challenges in the field

References

[1] K. Parimala, G. Rajkumar, A. Ruba, S.Vijayalakshmi,” Challenges and Opportunities with Big Data” International Journal of Scientific Research in Computer Sciences and Engineering, Vol.5, Issue.5, pp.16-20, October (2017)

[2] Shilpa M Patil, Dr. H S Guruprasad,” A Study on Visual Analytics” International Journal of Computer Science and Information Technology Research, Vol. 3, Issue 1, pp: (303-308), Month: January - March 2015.

[3] Yuzuru Tanaka, Jonas Sjobergh, Keisuke Takahashi,” A Need for Exploratory Visual Analytics in Big Data Research and for Open Science, 2016.20th international Conference information Visualization (IV), ISSN: 2375-0138, DOI: 10.1109/IV.2016.42

[4] Keim D A, Kohlhammer J, Ellis G, Mansmann F. Mastering the Information Age: Solving Problems with Visual Analytics. Florian Mansmann, 2010.

[5] https://www.proschoolonline.com/blog/visual-analytics-need-model-tools-applications-2/[4]

[6] http://www.vismaster.eu/faq/the-visual-analytics-process/[5]

[7] Daniel A. Keim, Florian Mansmann, J ̈orn Schneidewind, Jim Thomas, and Hartmut Ziegler” Visual Analytics: Scope and Challenges”,First Publ in: Lecture notes in Computer Science No: 4404(2008), pp 76-79[6]

[8] https://searchbusinessanalytics.techtarget.com/definition/big-data-analytics.

[9] http://infinitylimited.co.uk/visual-analytics-key-attributes-scope-and-advantages/

[10] https://www.softwareadvice.com/bi/visual-analytics-tools-comparison/

[11] https://x.smu.edu.sg/node/68.

[12] http://www.visual-analytics.eu/faq/

[13] Boyd, D. and Crawford, K.,Critical Questions for Big Data, Information, Communication & Society, May 2012.

[14] Keim, D.A., Kohlhammer, J., Pohl, M., Santucci, G., Solving Problems with Visual Analytics, Procedia Computer Science, 2011.

[15] Czerwinski,M., DeLine, R., Drucker, S., Fisher, D.,Interactions with Big Data Analytics, 2012.

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Published

2025-11-17
CITATION
DOI: 10.26438/ijcse/v6i10.153158
Published: 2025-11-17

How to Cite

[1]
R. Shankar and S. Duraisamy, “Visual Analytics: Need, Process, Scope, Tools & Techniques and Challenges”, Int. J. Comp. Sci. Eng., vol. 6, no. 10, pp. 153–158, Nov. 2025.

Issue

Section

Research Article