An Introduction to Data Visualization Tools and Techniques in Various Domains

  IJCTT-book-cover
 
         
 
© 2023 by IJCTT Journal
Volume-71 Issue-4
Year of Publication : 2023
Authors : Deepmala Srivastava
DOI :  10.14445/22312803/IJCTT-V71I4P116

How to Cite?

Deepmala Srivastava, "An Introduction to Data Visualization Tools and Techniques in Various Domains," International Journal of Computer Trends and Technology, vol. 71, no. 4, pp. 125-130, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I4P116

Abstract
This research paper introduces data visualization tools and techniques in various domains. The importance of data visualization in enhancing the understanding and communication of complex data is discussed, along with the various types of data visualization tools and techniques available. The paper also covers the use of data visualization in business, social sciences, humanities, sports, environmental sciences, and healthcare. The paper concludes with a summary of the key takeaways and the potential impact of data visualization tools and techniques in various domains. The paper aims to provide a comprehensive overview of data visualization tools and techniques and to highlight their importance in various fields for effective data communication and analysis.

Keywords
Data visualization, Patient data analysis, Clinical outcome analysis, Game analysis, Injury analysis, Performance monitoring, Customer segmentation.

Reference

[1] Matthew N. O. Sadiku et al., "Data Visualization," International Journal of Engineering Research and Advanced Technology (IJERAT), vol. 2, no. 12, pp. 11-16, 2016.
[Google Scholar] [Publisher Link]
[2] Zezhong Wang et al., "Cheat Sheets for Data Visualization Techniques," Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-13, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Matthew O. Ward, Georges Grinstein, and Daniel Keim, “Interactive Data Visualization: Foundations, Techniques, and Applications,” CRC Press, 2015.
[Google Scholar]
[4] D.A. Keim, and H.-P. Kriegel, "Visualization Techniques for Mining Large Databases: A Comparison," IEEE Transactions on Knowledge and Data Engineering, vol. 8, no. 6, pp. 923-938, 1996.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Rameshsharma Ramloll et al., "Gaze Data Visualization Tools: Opportunities and Challenges," Proceedings, Eighth International Conference on Information Visualisation, pp. 173-180, 2004.
[Google Scholar] [Publisher Link]
[6] Georgios A Pavlopoulos, Anna-Lynn Wegener, and Reinhard Schneider, "A Survey of Visualization Tools for Biological Network Analysis," Biodata Mining, vol. 1, pp. 1-11, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Bhawana Parbat A.K. Dwivedi, and O. P. Vyas, "Data Visualization Tools for WSNS: A Glimpse," International Journal of Computer Applications, vol. 2 no. 1, pp. 14-20, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Venkateswarlu Pynam, R Roje Spanadna, and Kolli Srikanth, "An Extensive Study of Data Analysis Tools (Rapid Miner, Weka, R Tool, Knime, Orange)," SSRG International Journal of Computer Science and Engineering, vol. 5, no. 9, pp. 4-11, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Li, Qi, and Qi Li, "Overview of Data Visualization," Embodying Data: Chinese Aesthetics, Interactive Visualization and Gaming Technologies, pp. 17-47, 2020.
[CrossRef] [Google Scholar] [PublisherLink]
[10] Nan Cao, and Weiwei Cui, "Overview of Text Visualization Techniques," Introduction to Text Visualization , pp. 11-40, 2016.
[Google Scholar] [Publisher Link]
[11] Katarina Furmanova et al., "Taggle: Combining Overview and Details in Tabular Data Visualizations," Information Visualization, vol. 19, no. 2, pp. 114-136, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Samuel Soma Ajibade, and Anthonia Adediran, "An Overview of Big Data Visualization Techniques in Data Mining," International Journal of Computer Science and Information Technology Research, vol. 4, no. 3, pp. 105-113, 2016.
[Google Scholar] [Publisher Link]
[13] S M Kumar, and Meena Belwal, "Performance Dashboard: Cutting-Edge Business Intelligence and Data Visualization," 2017 International Conference on Smart Technologies for Smart Nation (SmartRechCon), 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[14] A. S. Syed Fiaz et al., "Data Visualization: Enhancing Big Data More Adaptable and Valuable," International Journal of Applied Engineering Research, vol. 11, no. 4, pp. 2801-2804, 2016.
[Google Scholar] [Publisher Link]
[15] Ilene R. Berson, and Michael J. Berso, "Making Sense of Social Studies With Visualization Tools," Social Education, vol. 73, no. 3, pp. 124-126, 2009.
[Google Scholar] [Publisher Link]
[16] Ryan Womack, "Data Visualization and Information Literacy," IASSIST Quarterly, vol. 38, no. 1, pp. 12-17, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Prosser, Jon, and Andrew Loxley, "Introducing Visual Methods," 2008.
[Google Scholar] [Publisher Link]
[18] Elyse Graham, "Introduction: Data Visualisation and the Humanities," English Studies, vol. 98, no. 5, pp. 449-458, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Adam James Bradley et al., "Visualization and the Digital Humanities," IEEE Computer Graphics and Applications, vol. 38, no. 6, pp. 26-38, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[20] C. Perin et al., "State of the Art of Sports Data Visualization,” Computer Graphics Forum, vol. 37, no. 3. 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Rahul C. Basole, and Dietmar Saupe, "Sports Data Visualization [Guest Editors' Introduction],” IEEE Computer Graphics and Applications, vol. 36, no. 5, pp. 24-26, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Selvin Diana, Yulastri Arif, and Esthika Ariany Maisa, "The Relationship of the Role of Supervision Model 4S with the Assessment Element of Patient Prevention of Fall Risk Mediated by the Competence of the Nurse," SSRG International Journal of Nursing and Health Science, vol. 8, no. 2, pp. 33-39, 2022.
[CrossRef] [Publisher Link]
[23] Bujack, Roxana, and Ariane Middel, "State of the Art in Flow Visualization in the Environmental Sciences,” Environmental Earth Sciences, vol. 79, no. 2, p. 65, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Ben Shneiderman, Catherine Plaisant, and Bradford W. Hesse, "Improving Healthcare with Interactive Visualization,” Computer, vol. 46, no. 5, pp. 58-66, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Sameer Shukla "Unlocking the Power of Data: An Introduction to Data Analysis in Healthcare,” International Journal of Computer Sciences and Engineering, vol. 11, no. 3, pp. 1-9, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Mary K Obenshain et al., "Application of Data Mining Techniques to Healthcare Data,” Infection Control & Hospital Epidemiology, vol. 25, no. 8, pp. 690-695, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Wolfgang Müller, and Heidrun Schumann, "Visualization for Modeling and Simulation: Visualization Methods for Time-Dependent Data-An Overview,” Proceedings of the 35th Conference on Winter Simulation: Driving Innovation, pp. 737–745, 2003.
[Google Scholar] [Publisher Link]
[28] Sam Grainger, Feng Mao, and Wouter Buytaert, "Environmental Data Visualisation for Non-Scientific Contexts: Literature Review and Design Framework,” Environmental Modelling & Software, vol. 85, pp. 299-318, 2016.
[CrossRef] [Google Scholar] [Publisher Link]