Investigating the COVID-19 pandemic using Power BI

Authors

  • Shantanu Sakhare Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.
  • Anish Mathew Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.
  • Aditya Nimje Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.
  • Nishita Patil Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.
  • Prof. M. B. Gudadhe Department of Computer Engineering, St. Vincent Pallotti College of Engineering & Technology, Nagpur, India.

Keywords:

data analytics, effective, COVID-19 data, resources

Abstract

In this investigation, data presented of COVID-19 occurrences are analyzed and visualized. Power BI being a highly strong tool for very simple visualization of massive data sets, it plays a vital role. Our outcomes are as follows. The COVID-19 deadly virus was initially detected in Wuhan, China. Power BI will be utilized in this study to create the large data analytics that it deals with. Performance in visualization technique, i.e.,more comprehensible and presentable data mixing, real- time monitoring, and data collaboration are among its features. This study essentially paints a clear picture of growing COVID-19 data and resources that can assist in a more effective, reliable, and efficient manner.

References

https://www.researchgate.net/publication/34 8870467_Data_analytics_and_visualization_u sing_Power_BI_and_MS_Excel_for_COVID- 19_Coronavirus

https://www.researchgate.net/publication/35 3178513_A_review_of_GIS_methodologies_t o_analyze_the_dynamics_of_COVID- 19_in_the_second_half_of_2020

https://towardsdatascience.com/powerbi- dashboard-for-socio-economic-impact-of- covid-19-in-south-asia-57e39fd6d1e1

https://blogs.bing.com/search/2020_07/Extra cting-Covid-19-insights-from-Bing-search-data

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Published

18-04-2022

How to Cite

Shantanu Sakhare, Anish Mathew, Aditya Nimje, Nishita Patil, & Prof. M. B. Gudadhe. (2022). Investigating the COVID-19 pandemic using Power BI. International Journal for Research Publication and Seminar, 13(3), 182–188. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/554

Issue

Vol. 13 No. 3 (2022): Volume 13 | Issue 3 | 2022 (NSCIT)

Section

Original Research Article

License

Copyright (c) 2022 International Journal for Research Publication and Seminar

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