Visualising and analysing data on Covid-19 pandemic outbreak in Nigeria

Abstract

The novel corona-virus (COVID-19) that was first reported at the closing stages of 2019 has dwindled almost every aspect of life beyond reasonable doubt. This paper focuses on the incidence of the virus in the 37 states in Nigeria. The first confirmed cases were Lagos State, which was established on the 27th day of February 2020, and was the earliest case to be reported in Nigeria since the start of the outburst in China in January 2020. Using chart method, the authors will analyse the daily and increasing
prevalence of COVID-19 in the 37 states. This Paper displayed and analysed the data on covid-19 pandemic outbreak in Nigeria, by using jupyter notebook which is a programming tool for visualizing, analysing and comparing the rate of affected persons in various states in Nigeria. Presently a lot of visualization and analysis has been carried out by various researchers in order to ascertain the actual number of the affected persons. For the cause of this Paper, the authors used two data analytical tools
such as R and Python (computer programming) to analyse this data and make prediction using data reports from Nigeria centre for disease and control (NCDC). The result displayed an intriguing report of the virus trajectory in Nigerian state, which also gives the three tiers of government measures in tackling the virus to avoid further spread