The goal of COVID19CHN is to help launching the shiny app with datasets and functions, which helps with basic analysis of COVID-19 daily cases of every province in China, including confirmed cases, death cases and recovered cases as of 30 September 2020.
You can install the development version of COVID19CHN from GitHub with:
# install.packages("devtools")
devtools::install_github("etc5523-2020/r-package-assessment-Lulu-Pi")This is a basic example which shows you what the package includes:
#> # A tibble: 8,349 x 8
#> `Province/State` Lat Long Date Confirmed Deaths Recovered Month
#> <chr> <dbl> <dbl> <date> <dbl> <dbl> <dbl> <dbl>
#> 1 Anhui 31.8 117. 2020-01-22 1 0 0 1
#> 2 Anhui 31.8 117. 2020-01-23 8 0 0 1
#> 3 Anhui 31.8 117. 2020-01-24 6 0 0 1
#> 4 Anhui 31.8 117. 2020-01-25 24 0 0 1
#> 5 Anhui 31.8 117. 2020-01-26 21 0 0 1
#> 6 Anhui 31.8 117. 2020-01-27 10 0 0 1
#> 7 Anhui 31.8 117. 2020-01-28 36 0 0 1
#> 8 Anhui 31.8 117. 2020-01-29 46 0 2 1
#> 9 Anhui 31.8 117. 2020-01-30 48 0 0 1
#> 10 Anhui 31.8 117. 2020-01-31 37 0 1 1
#> # ... with 8,339 more rows
|
Month |
Province/State |
Confirmed |
Deaths |
Recovered |
|---|---|---|---|---|
|
1 |
Anhui |
237 |
0 |
3 |
|
1 |
Beijing |
139 |
1 |
5 |
|
1 |
Chongqing |
211 |
0 |
1 |
|
1 |
Fujian |
120 |
0 |
0 |
|
1 |
Gansu |
29 |
0 |
0 |
|
1 |
Guangdong |
436 |
0 |
11 |
|
1 |
Guangxi |
87 |
0 |
2 |
|
1 |
Guizhou |
29 |
0 |
2 |
|
1 |
Hainan |
52 |
1 |
1 |
|
1 |
Hebei |
82 |
1 |
0 |
