knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%",
  warning = FALSE
)

covid19tunisia

Lifecycle: maturing CRAN status Travis build status

The covid19tunisia package harvests the data made freely available by Mouna Belaid.

Installation

From CRAN:

``` {r install, eval=FALSE} install.packages("covid19tunisia")

the development version:

```r
devtools::install_github("USER_OR_ORG/covid19tunisia")

Data

library(covid19tunisia)

Get the full dataset:

(tunisia <- refresh_covid19tunisia())

To switch to a wider format, you can use tidyr:

tunisia %>% 
  tidyr::pivot_wider(
    names_from = "data_type"
  ) %>% 
  dplyr::select(
    1, 6:ncol(.), everything()
  )

For more info on the dataset:

get_info_covid19tunisia()

Columns

The data follows the covid19R standard for tidy Covid-19 data. The data columns are as follows:

● date - The date in YYYY-MM-DD form.

● location - The name of the government as provided by the data sources.

● location_type - The type of location using the covid19R controlled vocabulary. In this case, it's “state_government”.

● location_code - A standardized location code using a national or international standard. In this case, . See https://www.iso.org/obp/ui/#iso:code:3166:TN for details.

● location_code_type The type of standardized location code being used according to the covid19R controlled vocabulary. Here we use “ISO 3166-2:TN”.

● data_type - the type of data in that given row. Includes cases new : new confirmed Covid-19 cases during on the current date, recovered_new : new number of patients recovered on the current date and deaths_new : new deaths on the current datea.

● value - number of cases of each data type.

Contributing

Please submit issues and pull requests with any package improvements!

Please note that the 'covid19tunisia' project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.



MounaBelaid/covid19tunisia documentation built on Dec. 3, 2020, 2:37 p.m.