mutiaholanrewaju/Nigeria-COVID-19-Data-Analysis-Using-Python

A capstone project for data science micro degree at Ustacky # Nigeria-COVID-19-Data-Analysis-Using-Python A project for the Ustacky's Data Scientist Microdegree # 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. In this project, data science & analytics skills were employed to collect data, explore the data, perform analysis, create visualizations, and generate insights. # Data Collection The data source is divided into different parts, and you will combine the data to perform analysis and provide insights. 1. The Nigeria Centre for Diseases Control (NCDC) monitors the country’s COVID-19 situation, and releases data on metrics across all the 37 states in the country. From NCDC COVID-19 official website, the data was obtained by performing a web extraction or web scraping. 2. The Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) publishes daily data on confirmed, death and recovered cases across different countries. The daily data for Nigeria was accessed from their repository and related insights were derived. Steps on how to do this will be provided in the starter code. 3. Nigeria Community Vulnerability Index data The vulnerability index was computed by considering several factors such as socio-economic status, population density, housing type, transportation, epidemiological, health system etc, these factors are known as themes. Each theme was broken into subthemes, and data was gathered from them to compute th …