README.md

In etc5523-2020/r-package-assessment-Year-97: The Shiny Application and the General Information about COVID-19

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 & Implementation

The development version can be installed from my GitHub with:

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

After installing CovidYe package, you can type launch_app() in the console to run the Covid-19 Shiny App.

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

More Info about CovidYe Package

The complete information and instruction can be seen in my pkgdown website.

Also there is a distill blog which is also designed by me. You can learn more information about my Shiny App and the COVID-19 basic situation in that site. Therefore, you are welcome to have a look.

etc5523-2020/r-package-assessment-Year-97 documentation built on Jan. 1, 2021, 1:11 a.m.