Yusufadepoju/Nigeria-Covid-19

# Project Overview Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus, and it has affected major parts of the world. Nigeria, a West-African country, has also been affected by the COVID-19 pandemic after recording its first case on 27th February 2020. Nigeria is a country with 37 states - Federal Capital Territory included- and a fast-growing economic environment with about 200 million citizens. COVID-19 has affected several country activities as the country steadily progressed from its first case to shutting down major airports, state-wide lockdown, curfews and reviving its economy. # Steps/Approaches ## Data Collection/Gathering - Import data: GDP, External Budgets files etc. of datasets are imported and read to data frame with the aid of pandas library - Web Scrapping: This is to extracts data from website page. This includes text and tables ## Data Inspection - This is the exploration of basic information about the data e.g size, shape, head, tail, info, description etc. ## Data cleaning and preparation Some of our imported data contains unwanted data or formats. Data cleaning methodology is employed to clean the data, getting it ready for future analysis. ## Analysis Some analysis are performed on the datasets to reveal some useful insights, some of the analysis includes; - Top 10 states in terms of Confirmed Covid cases by Laboratory test - Top 10 states in terms of Discharged Covid cases. - Total daily confirmed, recovered and death cases in Nigeria. - Daily infection rate, maximum infection rate - Top 10 Death cases etc.