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