replace dataset with year, month and day in separate columns

[avallecam]

to avoid having an output that does not recover the dates, we can try to upload a dataset with year, month and day in separate columns

we can use this code to create it

library(dplyr)
library(rio)

rio::import("https://raw.githubusercontent.com/epiverse-trace/tutorials-early/main/episodes/data/ebola_cases.csv") %>% 
  dplyr::mutate(
    year = lubridate::year(date),
    month = lubridate::month(date),
    day = lubridate::day(date)
  ) %>% 
  dplyr::select(
    year:day, confirm
  ) %>% 
  dplyr::as_tibble()
#> # A tibble: 120 × 4
#>     year month   day confirm
#>    <dbl> <dbl> <int>   <int>
#>  1  2014     5    18       1
#>  2  2014     5    20       2
#>  3  2014     5    21       4
#>  4  2014     5    22       6
#>  5  2014     5    23       1
#>  6  2014     5    24       2
#>  7  2014     5    26      10
#>  8  2014     5    27       8
#>  9  2014     5    28       2
#> 10  2014     5    29      12
#> # ℹ 110 more rows

^{Created on 2024-06-14 with reprex v2.1.0}

Originally posted by @avallecam in #70 (comment)