10.23 Modify Columns

ds %>%
  select(date, location, pressure_9am)

## # A tibble: 275,410 × 3
##    date       location pressure_9am
##    <date>     <chr>           <dbl>
##  1 2008-12-01 Albury          1008.
##  2 2008-12-02 Albury          1011.
##  3 2008-12-03 Albury          1008.
##  4 2008-12-04 Albury          1018.
##  5 2008-12-05 Albury          1011.
##  6 2008-12-06 Albury          1009.
##  7 2008-12-07 Albury          1010.
##  8 2008-12-08 Albury          1013.
##  9 2008-12-09 Albury          1009.
## 10 2008-12-10 Albury          1007 
## # ℹ 275,400 more rows

ds %>%
  mutate(pressure_9am=round(pressure_9am, 0)) %>%
  select(date, location, pressure_9am)

## # A tibble: 275,410 × 3
##    date       location pressure_9am
##    <date>     <chr>           <dbl>
##  1 2008-12-01 Albury           1008
##  2 2008-12-02 Albury           1011
##  3 2008-12-03 Albury           1008
##  4 2008-12-04 Albury           1018
##  5 2008-12-05 Albury           1011
##  6 2008-12-06 Albury           1009
##  7 2008-12-07 Albury           1010
##  8 2008-12-08 Albury           1013
##  9 2008-12-09 Albury           1009
## 10 2008-12-10 Albury           1007
## # ℹ 275,400 more rows

To convert all character columns to be numeric:

ds %>%
  mutate(across(where(is.character), as.numeric))

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