A Study of Real World Data Visualization of COVID-19 dataset using Python
Kamlendu Pandey1, Ronak Panchal2
1Kamlendu Pandey*, MScICT Programme, Veer Narmad South Gujarat University, Surat, India.
2Ronak Panchal, Computer Science department, Vidyabharti Trust College of BCA, Surat, India.
Manuscript received on April 11, 2020. | Revised Manuscript Received on April 15, 2020. | Manuscript published on April 15, 2020. | PP: 104-107 | Volume-4 Issue-8, April 2020. | Retrieval Number: H0834044820//2020©BEIESP | DOI: 10.35940/ijmh.H0834.044820
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The importance of data science and machine learning is evident in all the domains where any kind of data is generated. The multi aspect analysis and visualizations help the society to come up with useful solutions and formulate policies. This paper takes the live data of current pandemic of Corona Virus and presents multi-faceted views of the data as to help the authorities and Governments to take appropriate decisions to takle this unprecedented problem. Python and its libraries along with Google Colab platform is used to get the results. The best possible techniques and combinations of modules/libraries are used to present the information related to COVID-19.
Keywords: Data Visualization, Corona virus (COVID-19), Python, Data Science.