daily summary of the Coronavirus (COVID-19) pandemic cases in Italy's provinces

italy_province

Format

A data.frame object

Source

Presidenza del Consiglio dei Ministri - Dipartimento della Protezione Civile website

Details

The dataset contains the daily summary of the Coronavirus pandemic cases in Italy's regions. The data includes the following fields:

- date - date of notification (Date class)

- region_name - region names

- region_code - region code

- province_name - province names

- province_spatial - the spatial province names as in the output of the `ne_states` function from the **rnaturalearth** package

- province_abb - the province abbreviation

- province_code - province code

- lat - latitude point

- long - Longitude point

- new_cases - daily number of positive cases

- total_cases - total number of positive cases (cumulative)

- nuts_code_1 - groups of region - level 1 of Italy statistical regions (Nomenclature of Territorial Units for Statistics), more details available here

- nuts_code_2 - regions, level 2 of Italy statistical regions (Nomenclature of Territorial Units for Statistics), more details available here

- nuts_code_3 - provinces, level 3 of Italy statistical regions (Nomenclature of Territorial Units for Statistics), more details available here

Examples

data(italy_province) head(italy_province)
#> # A tibble: 6 x 14 #> date region_name region_code province_name province_spatial province_abb #> <date> <chr> <chr> <chr> <chr> <chr> #> 1 2020-02-24 Abruzzo 13 L'Aquila L'Aquila "AQ" #> 2 2020-02-24 Abruzzo 13 Teramo Teramo "TE" #> 3 2020-02-24 Abruzzo 13 Pescara Pescara "PE" #> 4 2020-02-24 Abruzzo 13 Chieti Chieti "CH" #> 5 2020-02-24 Abruzzo 13 In fase di d… In fase di defi… "" #> 6 2020-02-24 Basilicata 17 Potenza Potenza "PZ" #> # … with 8 more variables: province_code <chr>, lat <dbl>, long <dbl>, #> # new_cases <dbl>, total_cases <dbl>, nuts_code_1 <chr>, nuts_code_2 <chr>, #> # nuts_code_3 <chr>