  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.
