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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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INTI International University
2021
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| Online Access: | http://eprints.intimal.edu.my/1526/ http://eprints.intimal.edu.my/1526/1/vol.2021_003.pdf |
| _version_ | 1848766762068213760 |
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| 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 |
| building | INTI Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T11:56:17Z |
| format | Article |
| id | intimal-1526 |
| institution | INTI International University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:56:17Z |
| publishDate | 2021 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-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 |
| 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 |
| title | 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_short | Data Analysis of Covid-19 Pandemic in Malaysia and Singapore |
| title_sort | data analysis of covid-19 pandemic in malaysia and singapore |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.intimal.edu.my/1526/ http://eprints.intimal.edu.my/1526/ http://eprints.intimal.edu.my/1526/1/vol.2021_003.pdf |