7COM1083 Preparation for Project

Answer 1- Project proposal

Title

Importance of data visualisation in big data analytics

Project Topic

Data visualisation provides us with a clear idea of the information means by ensuring greater clarity with visual context through graphs or maps. As per the ideas of Berdanier, Buswell & Zhao (2018), the information processing paradigm in the human brain is done effectively through graphs and charts rather than large spreadsheets or datasets. Additionally, easier outlining, pattern identification, and trend management can be done through a comprehensive visualisation paradigm. In contemporary times, real-time visualisation aspects have eventually made their path due to multiple advantages (Zuo et al., 2020). For example, faster action, constructive communication, understanding the connection between results and operations, appropriate data interaction, the inclusion of machine learning and other related aspects are some crucial advantages that can be gained with real-time data visualisation.

Overall Aim

The key aim of the study lies in finding future trends in the real-time data visualisation process.

Objective

• To find out the existing standpoint of real-time data visualisation
• To evaluate future trends of real-time data visualisation
• To recommend an effective pathway for faster diffusion of effective future trends

Research Questions

• Where does the real-time data visualisation process stand in the current scenario?
• What future trends might occur in real-time data visualisation?
• How can faster diffusion of effective future trends be ensured?

Answer 2-Reference

Reference

Berdanier, C. G., Buswell, N. T., & Zhao, Z. (2018, June). Data visualization for time-resolved real-time engineering writing processes. In ASEE Annual Conference and Exposition, Conference Proceedings (Vol. 2018). https://pennstate.pure.elsevier.com/en/publications/data-visualization-for-time-resolved-real-time-engineering-writin

b) In-Text Citation  

(Berdanier, Buswell & Zhao, 2018)

Answer 3- Brief Project Plan

Figure 1: Project plan

(Source: Microsoft Project)

Answer 4- Ethical, Legal and Social Issues

Ethical Issues

Ethical transgression regarding intentional or unintentional use of the deceptive technique with the potential to alter audience's understanding may occur in real-time data visualisation (Qin et al., 2020). In order to address this context, maintaining transparency in the core aspect of a data visualisation technique and during the presentation of data can be focused

Legal Issues

In case the dataset used for visualisation or analytics is forged or altered, the results can be significantly different. Once the data alteration aspect is known to individuals, issues regarding lawsuits might occur (Daniel, 2019). In order to address this issue, ensuring data accuracy to an optimum point must be focused on.

Social Issues

Social issues associated with consents about the participants or subjects tend to occur in data visualisation. In order to address the same, consent from all individuals participating in a study must be gained.

References

Berdanier, C. G., Buswell, N. T., & Zhao, Z. (2018, June). Data visualization for time-resolved real-time engineering writing processes. In ASEE Annual Conference and Exposition, Conference Proceedings (Vol. 2018). https://pennstate.pure.elsevier.com/en/publications/data-visualization-for-time-resolved-real-time-engineering-writin

Daniel, B. K. (2019). Big Data and data science: A critical review of issues for educational research. British Journal of Educational Technology, 50(1), 101-113. https://onlinelibrary.wiley.com/doi/pdf/10.1111/bjet.12595

Qin, X., Luo, Y., Tang, N., & Li, G. (2020). Making data visualization more efficient and effective: a survey. The VLDB Journal, 29(1), 93-117. http://dbgroup.cs.tsinghua.edu.cn/ligl/papers/vldbj20-vizsurvey.pdf

Zuo, F., Wang, J., Gao, J., Ozbay, K., Ban, X. J., Shen, Y., ... & Iyer, S. (2020). An interactive data visualization and analytics tool to evaluate mobility and sociability trends during covid-19. arXiv preprint arXiv:2006.14882. https://arxiv.org/pdf/2006.14882

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