This package provides per-day data on COVID-19 cases in France.
The data is an average over all of the sources provided by opencovid19-fr. (README in English available here.)
# install.packages("devtools")
devtools::install_github("Covid19R/covid19france")library(covid19france)Get the full dataset:
(france <- refresh_covid19france())
#> Downloading raw data from https://raw.githubusercontent.com/opencovid19-fr/data/master/dist/chiffres-cles.csv.
#> # A tibble: 23,508 x 7
#> date location location_type location_standa… location_standa… data_type
#> <date> <chr> <chr> <chr> <chr> <chr>
#> 1 2020-04-05 Ain county DEP-01 department confirmed
#> 2 2020-04-05 Ain county DEP-01 department dead
#> 3 2020-04-05 Ain county DEP-01 department icu
#> 4 2020-04-05 Ain county DEP-01 department hospital…
#> 5 2020-04-05 Ain county DEP-01 department recovered
#> 6 2020-04-05 Ain county DEP-01 department discover…
#> 7 2020-04-05 Aisne county DEP-02 department confirmed
#> 8 2020-04-05 Aisne county DEP-02 department dead
#> 9 2020-04-05 Aisne county DEP-02 department icu
#> 10 2020-04-05 Aisne county DEP-02 department hospital…
#> # … with 23,498 more rows, and 1 more variable: value <int>To switch to a wider format, you can use tidyr:
france %>%
tidyr::pivot_wider(
names_from = "data_type"
) %>%
dplyr::select(
1, 6:ncol(.), everything()
)
#> # A tibble: 3,918 x 11
#> date confirmed dead icu hospitalized recovered discovered location
#> <date> <int> <int> <int> <int> <int> <int> <chr>
#> 1 2020-04-05 NA 24 30 112 86 NA Ain
#> 2 2020-04-05 NA 100 39 221 182 NA Aisne
#> 3 2020-04-05 NA 8 16 45 59 NA Allier
#> 4 2020-04-05 NA 3 7 31 44 NA Alpes-d…
#> 5 2020-04-05 NA 43 78 219 171 NA Alpes-M…
#> 6 2020-04-05 NA 26 15 93 131 NA Ardèche
#> 7 2020-04-05 NA 4 18 73 23 NA Ardennes
#> 8 2020-04-05 NA 1 5 18 10 NA Ariège
#> 9 2020-04-05 NA 34 23 148 27 NA Aube
#> 10 2020-04-05 NA 27 18 95 63 NA Aude
#> # … with 3,908 more rows, and 3 more variables: location_type <chr>,
#> # location_standardized <chr>, location_standardized_type <chr>For more info on the dataset:
get_info_covid19france()
#> # A tibble: 1 x 10
#> data_set_name package_name function_to_get… data_details data_url license_url
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 covid19france covid19fran… refresh_covid19… Open Source… https:/… https://gi…
#> # … with 4 more variables: data_types <chr>, location_types <chr>,
#> # spatial_extent <chr>, has_geospatial_info <lgl>Please submit issues and pull requests with any package improvements!
Please note that the ‘covid19france’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.