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

refresh_covid19mobility_apple_city()

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_city() head(mob)
#> # A tibble: 6 x 10 #> date location location_type location_code location_code_t… data_type #> <date> <chr> <chr> <chr> <chr> <chr> #> 1 2020-01-13 Aachen city DE AAH un_locode driving_… #> 2 2020-01-14 Aachen city DE AAH un_locode driving_… #> 3 2020-01-15 Aachen city DE AAH un_locode driving_… #> 4 2020-01-16 Aachen city DE AAH un_locode driving_… #> 5 2020-01-17 Aachen city DE AAH un_locode driving_… #> 6 2020-01-18 Aachen city DE AAH un_locode driving_… #> # … with 4 more variables: value <dbl>, alternative_name <chr>, #> # sub_region <chr>, country <chr>
# }