The Analysis of Coronavirus (COVID-19) New Confirmed Cases Comparison Between Top 10 Countries and Taiwan
Since the novel coronavirus (COVID-19 ) had spread all over the whole world, I want to find out how the new confirmed cases changed in the top 10 confirmed cases countries and my country, Taiwan. I use multiple linear regression to predict and fit between 11 countries, including China, Italy, Spain, Germany, Iran, the United States, France, South Korea, Switzerland, United Kindom, and Taiwan. Then I compare the trends of these countries and try to explain the differences and why the result comes out. The dataset I used collected confirmed, deaths, and recovered data from 179 countries from January 22, 2020, to March 18, 2020.
The weekly updated version is on Kaggle: Analysis of Coronavirus (COVID-19) in Top 15
| File | Description |
|---|---|
| covid_19_data.csv | The dataset in csv format collected from 01.22.2020 to 03.18.2020 |
| COVID_19.R | The codes of data analysis in R file |
| report_covid19.pdf | The main report for normal audience |
| report_covid19_tech_detail | The technical detail report for data scientists |
| images folder | All the images generated |
Micky Lee