Adetola-T/Nigeria-Covid-Analysis

# Nigeria-COVID-19-Data-Analysis-Using-Python Data Scientist Microdegree Capstone Project Project Title Nigeria COVID-19 Data Analysis using Python 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, you will employ data science & analytics skills to collect data, explore the data, perform analysis, create visualizations, and generate insights. Objectives - Understand data collection process, in this case web scraping, and importing from data sources - Understand the data cleaning and manipulation process. - Develop data wrangling skills & data intuition. - Know how to ask the right questions & find ways to provide answers. - Develop visualization skills through the use of open-source libraries in Python. - Generate insights from analysis. - Report writing -Project Steps Task 1 - Data Collection Here I obtain the required data for the analysis as described in the project instructions, such as web scrap to obtain data from the NCDC website, import data from the John Hopkins repository, and import the provided external data. A - NCDC Website scrap Website - covid19.ncdc.gov.ng B - John Hopkins Data Repository Here you will obtain data from the John Hopkins repository. Your task here involves saving the data from the GitHub repo link to DataFrame for further analysis. Find the links below. Global Daily Confirmed Cases - raw.githubusercontent.com …