Covid-19 World Vaccination Progress

  • Lee Chang Xiu (S17219894)

  • Siyi Zhou (S2031274)

  • Sharifah Shakila Sirajudin (S2017968)

  • Tan Wee Kiat (S2033309)

Project Background

Project Motivation

  • Give a general overview of different aspect of vaccination.
  • Indicates the current progress of vaccination and whether the current vaccination scheme needs further improvement.

Project Question

  • What is the vaccination coverage rate of country around the world?
  • What is the vaccination performance of country and type of vaccine used around the world?
  • What is the current performance of an individual country and estimate time for 70% vaccination coverage?

Data Description

Data description-The dataset contains data about the vaccination process of 190 countries over 14 December 2020 - 6 May 2021.

Mainly used variables

  • “vacc”: stand for 'vaccines' used in the country.
  • “ttl_vacc”: stand for 'Total number of vaccination'.
  • “ppl_vacc”: stand for 'Total number of people vaccinated'.
  • “ttl_vacc_per_100”: stand for 'Total vaccinations per hundred'.
  • “ppl_vacc_per_100”: stand for 'Total number of people vaccinated per hundred'.

Dataset- Link

Data Science Process Adoption

Data Acquisition - Get data from Kaggle

Data Pre-processing - Impute NA value

Data Exploration-EDA

chart

Summary of Experience

Project experience

  • We have chosen vaccination data which can be updated weekly and reproducibility.
  • We are able to create plots for visualizing the data to aid understanding.
  • We are able to answer the project questions with data.
  • We have successfully deployed shinyapps.io through data science process.

Reference

  • Shiny Apps - Link
  • Github - Link (Please right click > Open link in new tab)