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  lOMoAR cPSD| 23136115
VIETNAM NATIONAL UNIVERSITY - HO CHI MINH CITY  INTERNATIONAL UNIVERSITY  DATA SCIENCE AND DATA  VISUALIZATION  PROJECT PROPOSAL 
Topic: The impact of COVID-19 on world  population density  Team member 
1.Đỗ Minh Quân ITITIU20282 
2.Nguyễn Bá Phúc ITITIU20278 
3.Trịnh Tiến Đạt ITDSIU20109 
4.Phan Thế Thiện ITDSIU20084 
5.Lê Minh Phượng ITITIU20281      lOMoAR cPSD| 23136115 TABLEOFCONTENT  I. Introduction 
II. Data pulling procedures  A. About  B. Data file  C. Procedures  D. Tool Used  III. Project timeline 
IV. Visualizing Prototype Sketch  V. Preferences  I. Introduction:  1.Summary: 
- In recent times, the global landscape has witnessed an 
unprecedented challenge that has not only posed a 
significant threat to public health but has also reshaped 
the way we perceive and interact with our world. The 
COVID-19 pandemic, caused by the novel coronavirus,      lOMoAR cPSD| 23136115
has had far-reaching implications, transcending borders, 
societies, and economies. As we navigate through these 
complex times, understanding the pandemic's impact on 
various facets of our lives becomes imperative. 
- In this project, we embark on a journey to explore one 
such facet: the impact of COVID-19 on world population 
density. Leveraging data from reputable sources and 
other related data repositories, we aim to unveil the 
profound changes that have occurred in population  density patterns globally.  2.Purpose: 
- The purpose of this project is to provide a 
comprehensive analysis of how the COVID-19 pandemic 
has influenced population density on a global scale. 
Population density is a critical parameter that not only 
reflects the distribution of people across regions but also 
has far-reaching implications for public health, urban 
planning, and resource allocation.      lOMoAR cPSD| 23136115
- By delving into this aspect, we seek to uncover the 
intricate relationships between the pandemic's 
progression, containment measures, migration trends, 
and shifts in population distribution. This analysis will 
offer valuable insights into the adaptive responses of 
societies, governments, and individuals to the  pandemic's challenges.  3.Goal: 
- Our primary goal is to produce a data-driven report that 
elucidates the evolving dynamics of world population 
density in the wake of the COVID-19 pandemic. We aim 
to achieve the following specific objectives: 
- Gather data from reliable sources and supplementary 
data repositories, and conduct a thorough analysis of 
population density trends pre- and post-pandemic. 
- Explore how population density patterns have shifted at 
regional, national, and global levels and identify regions 
that have experienced the most significant changes.      lOMoAR cPSD| 23136115
- Investigate the correlation between population density 
changes and key COVID-19 parameters such as 
infection rates, vaccination coverage, and public health  policies. 
- Provide actionable insights for policymakers, urban 
planners, and public health officials based on our 
findings to better prepare for future challenges and  optimize resource allocation. 
Through this project, we aim to contribute to the growing body of 
knowledge surrounding the impact of the COVID-19 pandemic 
and enable evidence-based decision-making in the domains of 
public health and urban planning. Our commitment to rigorous 
data analysis and visualization will serve as a valuable resource 
for stakeholders and researchers grappling with the 
consequences of this global crisis. 
II. Data pulling procedures:  ❖ About:      lOMoAR cPSD| 23136115
➢ Based on data taken from the ourworldindata website and 
other related data websites, we have extracted statistical 
indicators to serve our statistical report.  ❖ Data-file: 
➢ We will use the XLSX (Excel) format file to create the  statistical table. 
➢ We will take actual data from 100 different countries during 
the period from 2020 to 2023 (We will divide it into the period 
before and after the vaccine was introduced worldwide) in our 
research. And we have a total of 4 different data types  including:  ■  Country  ■  Coronavirus Cases  ■  Deaths  ■  Recovered  ❖ Procedures: 
➢ We will get clean data and related data from websites, 
besides, we also get data from surveys to start our research  purposes. 
➢ We will then bring the collected data into the system and 
then concretize the data into different types of statistics on our      lOMoAR cPSD| 23136115
research website by using HTML, CSS and D3.js to support  statistical graphing. 
➢ Finally, we will put it into a test run and ask volunteers to test 
the features as well as provide feedback to update more 
features as well as fix errors (if any) of the website.  ❖ Tool used: 
➢ Github/Github Gist for import and project control 
➢ Visual Studio Code for HTML and CSS website building 
➢ Figma for build website UI/UX prototype  ➢ Vercel to deploy our web 
➢ RStudio for data processing III.Project Timeline 
- We planned to divide the project into 6 stages, 
each corresponding to a different week, activity, and  project manager.  Stage  Activity  Week    The communication connection  between members  Planning  1 Building the planning    Topic research      lOMoAR cPSD| 23136115
Determine the goal and purpose of  the research  Building the proposal  Data  Collect the dataset  2  collecting  Research for references and  documentation  Determine the proper analysis  technique for the project  Group discussion(1 hour)  Data  Remove some unnecessary  3  processing  attributes 
Calculate values that affected the  accuracy and precision of the  findings  Fill in missing data  Clean the data  Group discussion(1 hour)  Conceptual  Design UI/UX  Design  Determine data requirements  5-8  Sketch the ER diagrams      lOMoAR cPSD| 23136115 Sketch the activity diagrams  Finalize the design  Group discussion(1 hour each  week) 
Design Web Design the web layout  Coding the web functions and  charts  Finalize the web coding  Group discussion(1 hour each  week)  8-13  Presentation Final report  Presentation slides  14 
IV. Visualizing Prototype Sketch      lOMoAR cPSD| 23136115     V. Preferences 
[1] Data up to March 7, 2021 from      lOMoAR cPSD| 23136115
https://covidtracking.com/data/download 
[2] Data in VietNam Coronavirus cases from 
https://www.worldometers.info/coronavirus/cou  ntry/viet-nam/  [3] Data overview from  https://covid19.who.int/data 
[4] Coronavirus case for every countries from 
https://ourworldindata.org/coronavirus