This repo is an R package implemented to get covid19 data from Jhon Hopkins university’s CSSEGISandData repository and draw some plots about the covid-19 pandemic.
You can install the development version from GitHub with:
options(warn=-1)
# install.packages("devtools")
devtools::install_github("alibalapour/CovidPlot19")
#> Skipping install of 'CovidPlot19' from a github remote, the SHA1 (c9ec7fd3) has not changed since last install.
#> Use `force = TRUE` to force installationThis is a basic example which shows you how to solve a common problem:
df <- suppressWarnings(suppressMessages(CovidPlot19::getData()))
head(df, 20)
#> # A tibble: 20 x 6
#> # Groups: Country [2]
#> Country Date Cases Deaths DailyCases DailyDeaths
#> <chr> <date> <dbl> <dbl> <dbl> <dbl>
#> 1 " Azerbaijan" 2020-02-28 1 0 0 0
#> 2 "Afghanistan" 2020-02-24 1 0 0 0
#> 3 "Afghanistan" 2020-02-25 1 0 0 0
#> 4 "Afghanistan" 2020-02-26 1 0 0 0
#> 5 "Afghanistan" 2020-02-27 1 0 0 0
#> 6 "Afghanistan" 2020-02-28 1 0 0 0
#> 7 "Afghanistan" 2020-02-29 1 0 0 0
#> 8 "Afghanistan" 2020-03-01 1 0 0 0
#> 9 "Afghanistan" 2020-03-02 1 0 0 0
#> 10 "Afghanistan" 2020-03-03 2 0 1 0
#> 11 "Afghanistan" 2020-03-04 4 0 2 0
#> 12 "Afghanistan" 2020-03-05 4 0 0 0
#> 13 "Afghanistan" 2020-03-06 4 0 0 0
#> 14 "Afghanistan" 2020-03-07 4 0 0 0
#> 15 "Afghanistan" 2020-03-08 5 0 1 0
#> 16 "Afghanistan" 2020-03-09 7 0 2 0
#> 17 "Afghanistan" 2020-03-10 8 0 1 0
#> 18 "Afghanistan" 2020-03-11 11 0 3 0
#> 19 "Afghanistan" 2020-03-12 12 0 1 0
#> 20 "Afghanistan" 2020-03-13 13 0 1 0CovidPlot19::plotOnWorldMap(date = '2020-05-03', type = 'Cases')
CovidPlot19::plotTimeSeries(startDate = '2020-06-10',
endDate = '2021-07-10',
country = 'Germany',
type = 'Cases',
static = T
)