Obtenha os dados de mobilidade da Apple | R-bloggers

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cupom com desconto - o melhor site de cupom de desconto cupomcomdesconto.com.br
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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
##                                                              
## 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 , x2020_01_17 , x2020_01_18 ,
###   x2020_01_19 , x2020_01_20 , x2020_01_21 , x2020_01_22 , x2020_01_23 ,
###   x2020_01_24 , x2020_01_25 , x2020_01_26 , x2020_01_27 , x2020_01_28 ,
###   x2020_01_29 , x2020_01_30 , x2020_01_31 , x2020_02_01 , x2020_02_02 ,
###   x2020_02_03 , x2020_02_04 , x2020_02_05 , x2020_02_06 , x2020_02_07 ,
###   x2020_02_08 , x2020_02_09 , x2020_02_10 , x2020_02_11 , x2020_02_12 ,
###   x2020_02_13 , x2020_02_14 , x2020_02_15 , x2020_02_16 , x2020_02_17 ,
###   x2020_02_18 , x2020_02_19 , x2020_02_20 , x2020_02_21 , x2020_02_22 ,
###   x2020_02_23 , x2020_02_24 , x2020_02_25 , x2020_02_26 , x2020_02_27 ,
###   x2020_02_28 , x2020_02_29 , x2020_03_01 , x2020_03_02 , x2020_03_03 ,
###   x2020_03_04 , x2020_03_05 , x2020_03_06 , x2020_03_07 , x2020_03_08 ,
###   x2020_03_09 , x2020_03_10 , x2020_03_11 , x2020_03_12 , x2020_03_13 ,
###   x2020_03_14 , x2020_03_15 , x2020_03_16 , x2020_03_17 , x2020_03_18 ,
###   x2020_03_19 , x2020_03_20 , x2020_03_21 , x2020_03_22 , x2020_03_23 ,
###   x2020_03_24 , x2020_03_25 , x2020_03_26 , x2020_03_27 , x2020_03_28 ,
###   x2020_03_29 , x2020_03_30 , x2020_03_31 , x2020_04_01 , x2020_04_02 ,
###   x2020_04_03 , x2020_04_04 , x2020_04_05 , x2020_04_06 , x2020_04_07 ,
###   x2020_04_08 , x2020_04_09 , x2020_04_10 , x2020_04_11 , x2020_04_12 ,
###   x2020_04_13 , x2020_04_14 , x2020_04_15 , x2020_04_16 , x2020_04_17 ,
###   x2020_04_18 , x2020_04_19 , x2020_04_20 , x2020_04_21 , x2020_04_22 ,
###   x2020_04_23 , x2020_04_24 , …
##



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