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Data Analysis of Covid-19 Pandemic in Malaysia and Singapore

COVID-19, an infectious disease that was caused by a newly discovered coronavirus. According to the World Health Organization (WHO), it will affect the human lung and airways hard to be moderated. The COVID-19 virus can spread through saliva drops or be released from the nose when an infected person...

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Main Authors:	Tang, Nelson, Kwong Kin, Chong, Jiet Vun, Baek, Dae Hui, Wong, Jeng Yang, Dini, Handayani
Format:	Article
Language:	English
Published:	INTI International University 2021
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://eprints.intimal.edu.my/1526/1/vol.2021_003.pdf http://eprints.intimal.edu.my/1526/ https://ipublishing.intimal.edu.my/jods.html
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id	my-inti-eprints.1526
record_format	eprints
spelling	my-inti-eprints.15262021-08-26T10:31:43Z http://eprints.intimal.edu.my/1526/ Data Analysis of Covid-19 Pandemic in Malaysia and Singapore Tang, Nelson, Kwong Kin Chong, Jiet Vun Baek, Dae Hui Wong, Jeng Yang Dini, Handayani QA75 Electronic computers. Computer science QA76 Computer software COVID-19, an infectious disease that was caused by a newly discovered coronavirus. According to the World Health Organization (WHO), it will affect the human lung and airways hard to be moderated. The COVID-19 virus can spread through saliva drops or be released from the nose when an infected person coughs or sneezes. By washing hands or rubbing alcohol-based often and avoiding touching the face, one can prevent infection or slow down the spread rate. Currently, there are no specific vaccines or treatments for COVID-19. Some datasets are generated from COVID-19 epidemic in Malaysia and Singapore and the datasets can be used for analysis to improve understanding of the COVID-19. In this project, six datasets are collected and conducted with data selection, data pre-processing, data transformation, and data mining. To conduct visualization and analysis of the datasets, Microsoft Azure Machine Learning Studio is used during the methodology part while Microsoft Excel and R Studio are used to generate five different graphs based on the datasets. The objective of this project is to compare, investigate and analyse the COVID-19 epidemic and find out the impact of Movement Control Order (MCO) in Malaysia and Circuit Breaker (CB) in Singapore to overcome the COVID-19 epidemic in both countries based on the data visualization and analysis in this project. INTI International University 2021-09 Article PeerReviewed text en http://eprints.intimal.edu.my/1526/1/vol.2021_003.pdf Tang, Nelson, Kwong Kin and Chong, Jiet Vun and Baek, Dae Hui and Wong, Jeng Yang and Dini, Handayani (2021) Data Analysis of Covid-19 Pandemic in Malaysia and Singapore. Journal of Data Science, 2021 (03). ISSN 2805-5160 https://ipublishing.intimal.edu.my/jods.html
institution	INTI International University
building	INTI Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	INTI International University
content_source	INTI Institutional Repository
url_provider	http://eprints.intimal.edu.my
language	English
topic	QA75 Electronic computers. Computer science QA76 Computer software
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software Tang, Nelson, Kwong Kin Chong, Jiet Vun Baek, Dae Hui Wong, Jeng Yang Dini, Handayani Data Analysis of Covid-19 Pandemic in Malaysia and Singapore
description	COVID-19, an infectious disease that was caused by a newly discovered coronavirus. According to the World Health Organization (WHO), it will affect the human lung and airways hard to be moderated. The COVID-19 virus can spread through saliva drops or be released from the nose when an infected person coughs or sneezes. By washing hands or rubbing alcohol-based often and avoiding touching the face, one can prevent infection or slow down the spread rate. Currently, there are no specific vaccines or treatments for COVID-19. Some datasets are generated from COVID-19 epidemic in Malaysia and Singapore and the datasets can be used for analysis to improve understanding of the COVID-19. In this project, six datasets are collected and conducted with data selection, data pre-processing, data transformation, and data mining. To conduct visualization and analysis of the datasets, Microsoft Azure Machine Learning Studio is used during the methodology part while Microsoft Excel and R Studio are used to generate five different graphs based on the datasets. The objective of this project is to compare, investigate and analyse the COVID-19 epidemic and find out the impact of Movement Control Order (MCO) in Malaysia and Circuit Breaker (CB) in Singapore to overcome the COVID-19 epidemic in both countries based on the data visualization and analysis in this project.
format	Article
author	Tang, Nelson, Kwong Kin Chong, Jiet Vun Baek, Dae Hui Wong, Jeng Yang Dini, Handayani
author_facet	Tang, Nelson, Kwong Kin Chong, Jiet Vun Baek, Dae Hui Wong, Jeng Yang Dini, Handayani
author_sort	Tang, Nelson, Kwong Kin
title	Data Analysis of Covid-19 Pandemic in Malaysia and Singapore
title_short	Data Analysis of Covid-19 Pandemic in Malaysia and Singapore
title_full	Data Analysis of Covid-19 Pandemic in Malaysia and Singapore
title_fullStr	Data Analysis of Covid-19 Pandemic in Malaysia and Singapore
title_full_unstemmed	Data Analysis of Covid-19 Pandemic in Malaysia and Singapore
title_sort	data analysis of covid-19 pandemic in malaysia and singapore
publisher	INTI International University
publishDate	2021
url	http://eprints.intimal.edu.my/1526/1/vol.2021_003.pdf http://eprints.intimal.edu.my/1526/ https://ipublishing.intimal.edu.my/jods.html
_version_	1709672810665738240
score	13.211869

Data Analysis of Covid-19 Pandemic in Malaysia and Singapore

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