Analysis and Predictions of the Impact of COVID-19 The world is battling with an invisible and fatal enemy, trying to understand how to live with the danger presented by a virus. It has been named COVID-19, belonging to a family of coronavirus to be the seventh known to affect humans.The novel coronavirus outbreak originated in Wuhan, China and has been declared as a ‘pandemic’ by the World Health Organization (WHO).
Our project presents:
- Forecasts of COVID-19 cases by country
- Analysis of patient medical data
- Impact of Twitter
Data: Dataset can be downloaded here: Novel Coronavirus 2019 Time Series Data on Cases: https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases Patient Medical Data for Novel Coronavirus COVID-19: https://datarepository.wolframcloud.com/resources/Patient-Medical-Data-for-Novel-Coronavirus-COVID-19 Twitter Data: using tritteR and rtweet libraries
URL Website: https://mohammed-shaikh.shinyapps.io/Covid/
URL Screencast: https://youtu.be/DhgDT_I-Ogg
URL Process notebook: https://shivanihegde.github.io/Data-Science-with-R-2020/Process%20notebook/notebook_final.html