Visual Exploratory Data Analysis of the Covid-19 Vaccination Progress in Nigeria

TL;DR

This paper uses visual exploratory data analysis with R and Tableau to examine the Covid-19 vaccination progress across Nigerian states, providing insights into distribution trends from March 2021 to May 2022.

Contribution

It demonstrates how data visualization tools can effectively analyze and present Covid-19 vaccination data in Nigeria, highlighting state-level distribution patterns.

Findings

Vaccination coverage is approximately 10% of the population.

Significant variation exists in vaccination rates across states.

Data visualization reduces ambiguity in understanding vaccination trends.

Abstract

The coronavirus outbreak in 2020 devastated the world's economy, including Nigeria, even resulted in a severe recession. Slowly the country is building back again, and the vaccines are helping to reduce the spread of covid-19. Since the covid-19 vaccine came to Nigeria; 18,728,188 people have been fully vaccinated as at May 31st, 2022. This is roughly 10% of the Nigerian population estimated at 206.7 million [1]. This paper presents a visual Exploratory Data Analysis of the covid-19 vaccination progress in Nigeria using the R-tidyverse package in R studio IDE for data cleaning & analysis, and Tableau for the visualizations. Our dataset is from the Nigerian National Primary Health Care Development Agency (NPHCDA) in charge of the vaccines. The data used for this research contain the state-by-state breakdown of Covid-19 vaccine distribution recorded between March 5th, 2021, and May 31st, 2022. This paper aims to show how these data analytics tools and techniques can be useful in finding insights in raw data by presenting the results of the EDA visually thus reducing the ambiguity and possible confusions that is associated with data in tables. Furthermore, our findings contribute to the growing literature on Covid-19 research by showcasing the Covid-19 vaccination trend in Nigeria and the state by state distribution.