Estructura de los datos:
## tibble [121,581 x 8] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
## $ Date_reported : Date[1:121581], format: "2020-01-03" "2020-01-04" ...
## $ Country_code : chr [1:121581] "AF" "AF" "AF" "AF" ...
## $ Country : chr [1:121581] "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ...
## $ WHO_region : chr [1:121581] "EMRO" "EMRO" "EMRO" "EMRO" ...
## $ New_cases : num [1:121581] 0 0 0 0 0 0 0 0 0 0 ...
## $ Cumulative_cases : num [1:121581] 0 0 0 0 0 0 0 0 0 0 ...
## $ New_deaths : num [1:121581] 0 0 0 0 0 0 0 0 0 0 ...
## $ Cumulative_deaths: num [1:121581] 0 0 0 0 0 0 0 0 0 0 ...
## - attr(*, "problems")= tibble [1,026 x 5] (S3: tbl_df/tbl/data.frame)
## ..$ row : int [1:1026] 80029 80029 80030 80030 80031 80031 80032 80032 80033 80033 ...
## ..$ col : chr [1:1026] "Date_reported" NA "Date_reported" NA ...
## ..$ expected: chr [1:1026] "date like " "8 columns" "date like " "8 columns" ...
## ..$ actual : chr [1:1026] "2020-01-03,PS,\"occupied Palestinian territory, including east Jerusalem\",EMRO,0,0,0,0" "1 columns" "2020-01-04,PS,\"occupied Palestinian territory, including east Jerusalem\",EMRO,0,0,0,0" "1 columns" ...
## ..$ file : chr [1:1026] "'COVID19_29Mayo.csv'" "'COVID19_29Mayo.csv'" "'COVID19_29Mayo.csv'" "'COVID19_29Mayo.csv'" ...
## - attr(*, "spec")=
## .. cols(
## .. Date_reported = col_date(format = ""),
## .. Country_code = col_character(),
## .. Country = col_character(),
## .. WHO_region = col_character(),
## .. New_cases = col_double(),
## .. Cumulative_cases = col_double(),
## .. New_deaths = col_double(),
## .. Cumulative_deaths = col_double()
## .. )
