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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.