Data analytics and visualization using Tableau utilitarian for COVID-19 (Coronavirus)

Nikhat Akhtar; NaziaTabassum; Asif Perwej; Yusuf Perwej

doi:10.30574/gjeta.2020.3.2.0029

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Data analytics and visualization using Tableau utilitarian for COVID-19 (Coronavirus)

Nikhat Akhtar ^{1, *}, Nazia Tabassum ², Asif Perwej ³ and Yusuf Perwej ⁴

1 Department of Computer Science & Engineering, Babu Banarasi Das University, Lucknow, India.

2 Centre for Nanoscience and Nanotechnology, Jamia Millia Islamia University, Delhi, India.

3 School of Management Studies, Sangam University, Bhilwara, Rajasthan, India.

4 Department of Computer Science & Engineering, India.

Research Article

Global Journal of Engineering and Technology Advances, 2020, 03(02), 028-050.

Article DOI: 10.30574/gjeta.2020.3.2.0029

DOI url: https://doi.org/10.30574/gjeta.2020.3.2.0029

Publication history

Received on 17 May 2020; revised on 22 May 2020; accepted on 24 May 2020

Abstract

In 2020 the world has generating 52 times the amount of data as in 2010, and 76 times the number of information sources. Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. Unfortunately in the midst of a global pandemic, when people throughout the world are looking for reliable, trustworthy information about COVID-19(Coronavirus). In this scenario tableau play the vital role, because Tableau is an extremely powerful tool for visualizing massive sets of data very easily. It has an easy to use drag and drop interface. You can build beautiful visualizations easily and in a short amount of time. Tableau supports a wide array of data sources. COVID-19(Coronavirus) analytics with Tableau, you will create dashboards that help you identify the story within our data, and we will better understand the impact of COVID-19 (Coronavirus). In this paper comprehensive review about Tableau. The Tableau are the tools which deals with the big data analytics also it generates the output in visualization technique i.e., more understandable and presentable. Its features include data blending, real-time reporting and collaboration of data. In the end, this paper gives the clear picture of growing COVID-19(Coronavirus) data and the tools which can help more effectively, accurately and efficiently.

Keywords

COVID-19 (Coronavirus); Data Analytics; Tableau; Visualization; Dashboards; Visual Analytics

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How to cite this article

Nikhat Akhtar, NaziaTabassum, Asif Perwej and Yusuf Perwej. Data analytics and visualization using Tableau utilitarian for COVID-19 (Coronavirus). Global Journal of Engineering and Technology Advances, 2020, 3(2), 028-050. Article DOI: https://doi.org/10.30574/gjeta.2020.3.2.0029

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