README.md
In etc5523-2020/r-package-assessment-Lulu-Pi: Launch the shiny app of COVID-19 in China
COVID19CHN
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.
Installation
You can install the development version of COVID19CHN from
GitHub with:
# install.packages("devtools")
devtools::install_github("etc5523-2020/r-package-assessment-Lulu-Pi")
Example
This is a basic example which shows you what the package includes:
The dataset of COVID-19 daily cases in each province in China
#> # 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
The COVID-19 cases per month from January in China
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
COVID19 daily cases trend in some provinces or states China
etc5523-2020/r-package-assessment-Lulu-Pi documentation built on Jan. 1, 2021, 1:11 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
COVID19CHN
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.
Installation
You can install the development version of COVID19CHN from GitHub with:
# install.packages("devtools")
devtools::install_github("etc5523-2020/r-package-assessment-Lulu-Pi")
Example
This is a basic example which shows you what the package includes:
The dataset of COVID-19 daily cases in each province in China
#> # 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
The COVID-19 cases per month from January in China
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 0COVID19 daily cases trend in some provinces or states China
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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