Pulls in the CSV of the Apple Mobility Data, filters to subregions, and reshapes it

refresh_covid19mobility_apple_subregion()

Value

Returns a tibble that meets the Covid19R Project tidy data standard

References

https://www.apple.com/covid19/mobility

Examples

# \donttest{ mob <- refresh_covid19mobility_apple_subregion() head(mob)
#> # A tibble: 6 x 9 #> date location location_type location_code location_code_t… data_type #> <date> <chr> <chr> <chr> <chr> <chr> #> 1 2020-01-13 Abruzzo… state IT-65 iso_3166_2 driving_… #> 2 2020-01-14 Abruzzo… state IT-65 iso_3166_2 driving_… #> 3 2020-01-15 Abruzzo… state IT-65 iso_3166_2 driving_… #> 4 2020-01-16 Abruzzo… state IT-65 iso_3166_2 driving_… #> 5 2020-01-17 Abruzzo… state IT-65 iso_3166_2 driving_… #> 6 2020-01-18 Abruzzo… state IT-65 iso_3166_2 driving_… #> # … with 3 more variables: value <dbl>, alternative_name <chr>, country <chr>
# }