The outbreak of the coronavirus disease in Nigeria and all over the world in 2019/2020 caused havoc on the world's economy and put a strain on global healthcare facilities and personnel. It also threw up many opportunities to improve processes using artificial intelligence techniques like big data analytics and business intelligence. The need to speedily make decisions that could have far-reaching effects is prompting the boom in data analytics which is achieved via exploratory data analysis (EDA) to see trends, patterns, and relationships in the data. Today, big data analytics is revolutionizing processes and helping improve productivity and decision-making capabilities in all aspects of life. The large amount of heterogeneous and, in most cases, opaque data now available has made it possible for researchers and businesses of all sizes to effectively deploy data analytics to gain action-oriented insights into various problems in real time. In this paper, we deployed Microsoft Excel and Python to perform EDA of the covid-19 pandemic data in Nigeria and presented our results via visualizations and a dashboard using Tableau. The dataset is from the Nigeria Centre for Disease Control (NCDC) recorded between February 28th, 2020, and July 19th, 2022. This paper aims to follow the data and visually show the trends over the past 2 years and also show the powerful capabilities of these data analytics tools and techniques. Furthermore, our findings contribute to the current literature on Covid-19 research by showcasing how the virus has progressed in Nigeria over time and the insights thus far.

翻译：2019/2020年，新冠病毒疾病在尼日利亚及全球范围内的爆发对世界经济造成严重破坏，并给全球医疗设施和人员带来巨大压力。同时，这也催生了大量利用人工智能技术（如大数据分析和商业智能）改进流程的机遇。快速做出可能具有深远影响的决策的需求，推动了通过探索性数据分析（EDA）来发现数据中的趋势、模式和关系的繁荣。如今，大数据分析正在革新流程，并帮助提升生活各领域生产力和决策能力。目前可获取的大量异质性且通常不透明的数据，使研究人员和各类规模的企业能够有效部署数据分析，以实时获取针对各种问题的行动导向见解。本文利用Microsoft Excel和Python对尼日利亚新冠疫情数据进行探索性分析，并通过Tableau可视化及仪表板展示结果。数据集来自尼日利亚疾病控制中心（NCDC），记录时间为2020年2月28日至2022年7月19日。本文旨在追踪数据并直观呈现过去两年的趋势，同时展示这些数据分析工具与技术的强大能力。此外，我们的研究结果通过展示病毒在尼日利亚的传播历程及现有洞察，为当前新冠疫情研究文献做出了贡献。