Open AccessA Study of Real World Data Visualization of COVID-19 dataset using Python
Author(s) -
Kamlendu Pandey,
Ronak Panchal
Publication year - 2020
Publication title -
international journal of management and humanities
Language(s) - English
Resource type - Journals
ISSN - 2394-0913
DOI - 10.35940/ijmh.h0834.044820
Subject(s) - python (programming language) , covid-19 , computer science , visualization , data science , pandemic , data visualization , data archive , real world data , world wide web , data mining , information retrieval , programming language , infectious disease (medical specialty) , medicine , disease , pathology , virology , biology , outbreak
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.