The survey results showed visual analytics to be significantly more effective than non-visual analytics for discovering insights from huge statistics.
Authors
Mokhtar Hussein Al-Sarori, Department of Copmute Science, University of Saba Region, Yemen.
Sachin S. Pund, Department of Industrial Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharashtra, India.
Bondili Bhavya Charitha, Department of Gitam School of Business, Gitam University.
Ashish Kaushal, Assistant Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India.
Purva Mange, Department of Symbiosis School of Planning Architecture and Design, Symbiosis International University.
Sudhir Kumar Chaturvedi, Department of School of Engineering, UPES, Dehradun, India.
Summary
Visual analytics is an effective method for exploring and discovering significant patterns and tendencies in massive datasets. Combining powerful visible elements together with charts, maps, and graphs with conventional analytics equipment, visual analytics allows humans to understand complicated datasets fast and as it should be, and even discover non-obvious relationships and trends.
This study investigated the effectiveness of visual analytics for coming across insights from massive information. A survey was carried out with 80 individuals to determine their perceptions at the effectiveness of visual analytics for discovery of insights from huge statistics.
The survey results showed visual analytics to be significantly more effective than non-visual analytics for discovering insights from huge statistics. The findings suggest that visual analytics need to be in addition explored and used to pick out and leverage insights from huge records.
Published in: 2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)
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