论文标题
COVID-19疫苗接种进度的视觉探索性数据分析尼日利亚
Visual Exploratory Data Analysis of the Covid-19 Vaccination Progress in Nigeria
论文作者
论文摘要
2020年的冠状病毒爆发摧毁了包括尼日利亚在内的世界经济，甚至导致了严重的衰退。慢慢地，该国再次建立了后退，疫苗正在帮助减少Covid-19的传播。自从Covid-19疫苗来到尼日利亚以来；截至2022年5月31日，已有18,728,188人已完全接种疫苗。这是尼日利亚人口的10％，估计为20670万[1]。本文使用R Studio IDE中的R-Tidyverse软件包进行数据清洁和分析，对尼日利亚的Covid-19疫苗接种进度进行了视觉探索数据分析，以及用于可视化的Tableau。我们的数据集来自负责疫苗的尼日利亚国家初级保健发展局（NPHCDA）。该研究所使用的数据包含在2021年3月5日至2022年5月31日之间记录的COVID-19疫苗分布的状态分解。本文旨在展示这些数据分析工具和技术如何有助于通过视觉上的概述和构成数据与数据相关的构成数据，从而可以在原始数据中找到原始数据中的见解。此外，我们的发现通过通过国家分布来展示尼日利亚和州的COVID-19疫苗接种趋势，从而为COVID-19的研究贡献了不断增长的文献。
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.
