While the CRAN version of the package is updated once every month or two, the Github (Dev) version is updating on a daily bases. The following options allow you to keep the data updated with the ones available on the Dev version:
update_dataset functionThe update_dataset function enables to keep the installed version updated with the data available on Github. The function compared between the dataset on the installed version and the ones on the Dev version:
library(coronavirus)
update_dataset()If no new data is available on the Dev version, the function will return the following message:
No updates are availableOnce new data is available, the function will prompt the following question that enables the user to select whether to install the updates from the dev version:
Updates are available on the coronavirus Dev version, do you want to update? n/YIn order to make the new data available, you will have to restart your R session.
Note: As frequent changes may occur on the raw data structure (such as new fields, retroactive updates in the data, etc.), the Dev version dataset may change accordingly.
Alternatively, you can read and load the data directly from the package repository, using the csv version:
library(readr)
coronavirus_df <- read_csv("https://raw.githubusercontent.com/RamiKrispin/coronavirus/master/csv/coronavirus.csv")## Parsed with column specification:
## cols(
## date = col_date(format = ""),
## province = col_character(),
## country = col_character(),
## lat = col_double(),
## long = col_double(),
## type = col_character(),
## cases = col_double()
## )head(coronavirus_df)## # A tibble: 6 x 7
## date province country lat long type cases
## <date> <chr> <chr> <dbl> <dbl> <chr> <dbl>
## 1 2020-01-22 <NA> Afghanistan 33.9 67.7 confirmed 0
## 2 2020-01-22 <NA> Albania 41.2 20.2 confirmed 0
## 3 2020-01-22 <NA> Algeria 28.0 1.66 confirmed 0
## 4 2020-01-22 <NA> Andorra 42.5 1.52 confirmed 0
## 5 2020-01-22 <NA> Angola -11.2 17.9 confirmed 0
## 6 2020-01-22 <NA> Antigua and Barbuda 17.1 -61.8 confirmed 0