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apple <- get_apple_data()
## target: https://covid19-static.cdn-apple.com/covid19-mobility-data/2008HotfixDev38/v3/en-us/applemobilitytrends-2020-05-21.csv
## Parsed with column specification:
## cols(
## .default = col_double(),
## geo_type = col_character(),
## region = col_character(),
## transportation_type = col_character(),
## alternative_name = col_character(),
## `sub-region` = col_character(),
## country = col_character(),
## `2020-05-11` = col_logical(),
## `2020-05-12` = col_logical()
## )
## See spec(...) for full column specifications.
apple
### A tibble: 3,625 x 136
## geo_type region transportation_… alternative_name sub_region country x2020_01_13 x2020_01_14 x2020_01_15
## <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
## 1 country… Alban… driving NA NA NA 100 95.3 101.
## 2 country… Alban… walking NA NA NA 100 101. 98.9
## 3 country… Argen… driving NA NA NA 100 97.1 102.
## 4 country… Argen… walking NA NA NA 100 95.1 101.
## 5 country… Austr… driving AU NA NA 100 103. 104.
## 6 country… Austr… transit AU NA NA 100 102. 101.
## 7 country… Austr… walking AU NA NA 100 101. 102.
## 8 country… Austr… driving Österreich NA NA 100 101. 104.
## 9 country… Austr… walking Österreich NA NA 100 102. 106.
##10 country… Belgi… driving België|Belgique NA NA 100 101. 107.
### … with 3,615 more rows, and 127 more variables: x2020_01_16 <dbl>, x2020_01_17 <dbl>, x2020_01_18 <dbl>,
### x2020_01_19 <dbl>, x2020_01_20 <dbl>, x2020_01_21 <dbl>, x2020_01_22 <dbl>, x2020_01_23 <dbl>,
### x2020_01_24 <dbl>, x2020_01_25 <dbl>, x2020_01_26 <dbl>, x2020_01_27 <dbl>, x2020_01_28 <dbl>,
### x2020_01_29 <dbl>, x2020_01_30 <dbl>, x2020_01_31 <dbl>, x2020_02_01 <dbl>, x2020_02_02 <dbl>,
### x2020_02_03 <dbl>, x2020_02_04 <dbl>, x2020_02_05 <dbl>, x2020_02_06 <dbl>, x2020_02_07 <dbl>,
### x2020_02_08 <dbl>, x2020_02_09 <dbl>, x2020_02_10 <dbl>, x2020_02_11 <dbl>, x2020_02_12 <dbl>,
### x2020_02_13 <dbl>, x2020_02_14 <dbl>, x2020_02_15 <dbl>, x2020_02_16 <dbl>, x2020_02_17 <dbl>,
### x2020_02_18 <dbl>, x2020_02_19 <dbl>, x2020_02_20 <dbl>, x2020_02_21 <dbl>, x2020_02_22 <dbl>,
### x2020_02_23 <dbl>, x2020_02_24 <dbl>, x2020_02_25 <dbl>, x2020_02_26 <dbl>, x2020_02_27 <dbl>,
### x2020_02_28 <dbl>, x2020_02_29 <dbl>, x2020_03_01 <dbl>, x2020_03_02 <dbl>, x2020_03_03 <dbl>,
### x2020_03_04 <dbl>, x2020_03_05 <dbl>, x2020_03_06 <dbl>, x2020_03_07 <dbl>, x2020_03_08 <dbl>,
### x2020_03_09 <dbl>, x2020_03_10 <dbl>, x2020_03_11 <dbl>, x2020_03_12 <dbl>, x2020_03_13 <dbl>,
### x2020_03_14 <dbl>, x2020_03_15 <dbl>, x2020_03_16 <dbl>, x2020_03_17 <dbl>, x2020_03_18 <dbl>,
### x2020_03_19 <dbl>, x2020_03_20 <dbl>, x2020_03_21 <dbl>, x2020_03_22 <dbl>, x2020_03_23 <dbl>,
### x2020_03_24 <dbl>, x2020_03_25 <dbl>, x2020_03_26 <dbl>, x2020_03_27 <dbl>, x2020_03_28 <dbl>,
### x2020_03_29 <dbl>, x2020_03_30 <dbl>, x2020_03_31 <dbl>, x2020_04_01 <dbl>, x2020_04_02 <dbl>,
### x2020_04_03 <dbl>, x2020_04_04 <dbl>, x2020_04_05 <dbl>, x2020_04_06 <dbl>, x2020_04_07 <dbl>,
### x2020_04_08 <dbl>, x2020_04_09 <dbl>, x2020_04_10 <dbl>, x2020_04_11 <dbl>, x2020_04_12 <dbl>,
### x2020_04_13 <dbl>, x2020_04_14 <dbl>, x2020_04_15 <dbl>, x2020_04_16 <dbl>, x2020_04_17 <dbl>,
### x2020_04_18 <dbl>, x2020_04_19 <dbl>, x2020_04_20 <dbl>, x2020_04_21 <dbl>, x2020_04_22 <dbl>,
### x2020_04_23 <dbl>, x2020_04_24 <dbl>, …
##
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