This blog is Year’s Blog Post 1 which contains the information of COVID-19 in Turkey.
The data source I use is a package called coronavirusKrispin and Byrnes (2020), which is made by Rami Krispin. The specific content of this package is a dataset of COVID-19 in the tidy format, and it is derived from coronavirus repository which created by the Johns Hopkins University Center for Systems Science and Engineering.
That data set is tableau data, including 7 columns and 172,700 rows. The variable names are date, province, country, lat, long, type and cases, covering a total of 178 countries. Among them, the three conditions of type, namely “confirmed”, “death” and “recover”, can make people clearly understand the spread and severity of that COVID-19 epidemic.
For the Table 1, I use DT package Xie, Cheng, and Tan (2020) so we can know the number of patients confirmed every day in Turkey from January 22 to August 28. Moreover, this is an interactive table, which means that all users can input relevant information in the box above to find the information they want. Also, they can click the arrow under each variable to arrange the variables again.
Figure 1: Daily Situation in Turkey
Xie, Yihui, Joe Cheng, and Xianying Tan. 2020. DT: A Wrapper of the Javascript Library ’Datatables’. https://CRAN.R-project.org/package=DT.