Data Analysis of Covid-19 Pandemic in Malaysia and Singapore

Abstract

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.