Visual Exploratory Data Analysis of the Covid-19 Vaccination Progress in Nigeria
Ugochukwu Orji, Chikodili Ugwuishiwu, Mathew Okoronkwo, Caroline, Asogwa, Nnaemeka Ogbene

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,…
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Taxonomy
TopicsCOVID-19 epidemiological studies
