covid19Tracker

The goal of covid19Tracker is to facilitate exploration of Coronavirus disease (COVID-19) dataset. The dataset is provided by JHU CSSE COVID-19 Data and is updated everyday.

The dataset includes new cases, cumulative cases, new deaths and cumulative deaths for each day. It also contains geographical coordinates(Lat,Long) for each country.

This package provides functions to:

• View full dataset in a tidy format
• Plot total cases in a selected period of time on the world map
• Plot daily cases of a specific country in a selected period of time

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("PlasterPate/covid19Tracker")

Examples

Getting data

library(covid19Tracker)
dataset <- fetchData()
head(dataset)
#> # A tibble: 6 x 8
#> # Groups:   Region [1]
#>   Region      Date       CumConfirmed Confirmed CumDeath Death   Lat  Long
#>   <chr>       <date>            <dbl>     <dbl>    <dbl> <dbl> <dbl> <dbl>
#> 1 Afghanistan 2020-01-22            0         0        0     0  33.9  67.7
#> 2 Afghanistan 2020-01-23            0         0        0     0  33.9  67.7
#> 3 Afghanistan 2020-01-24            0         0        0     0  33.9  67.7
#> 4 Afghanistan 2020-01-25            0         0        0     0  33.9  67.7
#> 5 Afghanistan 2020-01-26            0         0        0     0  33.9  67.7
#> 6 Afghanistan 2020-01-27            0         0        0     0  33.9  67.7

Visualizing data

plotWorldMap(dateRange = c("2020-09-01", "2020-10-30"), type = "Confirmed")

plotCountryTimeline(dateRange = c("2020-01-01", "2020-12-29"), country = "Iran")