View source: R/date_format_guess.R
date_format_guess | R Documentation |
In a column containing multiple date formats (e.g., MM/DD/YYYY, "YYYY/MM/DD, etc.) identifies probable format of each date. Provision of a grouping column improves inference. Any formats that cannot be determined are flagged as "FORMAT UNCERTAIN" for human double-checking. This is useful for quickly sorting the bulk of ambiguous dates into clear categories for later conditional wrangling.
date_format_guess(
data = NULL,
date_col = NULL,
groups = TRUE,
group_col = NULL,
return = "dataframe",
quiet = FALSE
)
data |
(dataframe) object containing at least one column of ambiguous dates |
date_col |
(character) name of column containing ambiguous dates |
groups |
(logical) whether groups exist in the dataframe / should be used (defaults to TRUE) |
group_col |
(character) name of column containing grouping variable |
return |
(character) either "dataframe" or "vector" depending on whether the user wants the date format "guesses" returned as a new column on the dataframe or a vector |
quiet |
(logical) whether certain optional messages should be displayed (defaults to FALSE) |
(dataframe or character) object containing date format guesses
# Create dataframe of example ambiguous dates & grouping variable
my_df <- data.frame('data_enterer' = c('person A', 'person B',
'person B', 'person B',
'person C', 'person D',
'person E', 'person F',
'person G'),
'bad_dates' = c('2022.13.08', '2021/2/02',
'2021/2/03', '2021/2/04',
'1899/1/15', '10-31-1901',
'26/11/1901', '08.11.2004',
'6/10/02'))
# Now we can invoke the function!
date_format_guess(data = my_df, date_col = "bad_dates",
group_col = "data_enterer", return = "dataframe")
# If preferred, do it without groups and return a vector
date_format_guess(data = my_df, date_col = "bad_dates",
groups = FALSE, return = "vector")
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