CovidYe

CovidYe package is created by Chengzhi Ye, which is followed strictly by the package-instructions. It contains one Shiny App, one data set and three functions. The main purpose of CovidYe package is to provide the basic information about COVID-19 of the countries with most confirmed cases and some functions to create the interactive plots and tables which are contains in the Shiny App.

Installation

The development version can be installed from my GitHub with:

# install.packages("devtools")
devtools::install_github("etc5523-2020/r-package-assessment-Year-97")

Example

A simple presentation of coronavirus data set:

#> # A tibble: 181,335 x 7
#>    date       province country       lat  long type      cases
#>    <date>     <chr>    <chr>       <dbl> <dbl> <chr>     <int>
#>  1 2020-01-22 ""       Afghanistan  33.9  67.7 confirmed     0
#>  2 2020-01-23 ""       Afghanistan  33.9  67.7 confirmed     0
#>  3 2020-01-24 ""       Afghanistan  33.9  67.7 confirmed     0
#>  4 2020-01-25 ""       Afghanistan  33.9  67.7 confirmed     0
#>  5 2020-01-26 ""       Afghanistan  33.9  67.7 confirmed     0
#>  6 2020-01-27 ""       Afghanistan  33.9  67.7 confirmed     0
#>  7 2020-01-28 ""       Afghanistan  33.9  67.7 confirmed     0
#>  8 2020-01-29 ""       Afghanistan  33.9  67.7 confirmed     0
#>  9 2020-01-30 ""       Afghanistan  33.9  67.7 confirmed     0
#> 10 2020-01-31 ""       Afghanistan  33.9  67.7 confirmed     0
#> # ... with 181,325 more rows

The Daily Situation and Cumulative Cases

#> `summarise()` regrouping output by 'type' (override with `.groups` argument)

date	confirmed	death	recovered	totalconfirmed	totalrecovered	totaldeath
2020-01-22	555	17	28	555	28	17
2020-01-23	99	1	2	654	30	18
2020-01-24	287	8	6	941	36	26
2020-01-25	493	16	3	1434	39	42
2020-01-26	684	14	13	2118	52	56
2020-01-27	809	26	9	2927	61	82
2020-01-28	2651	49	46	5578	107	131
2020-01-29	588	2	19	6166	126	133
2020-01-30	2068	38	17	8234	143	171
2020-01-31	1692	42	79	9926	222	213

The overall change trend of COVID-19