Compute the proportion of consistent records in a data frame

Usage

compute_record_consistency(data, id_col, group_cols = NULL, digits = 2)

Arguments

data: A data frame.
id_col: A string specifying the name of the column that uniquely identifies records (e.g., "personnel_id" or "contract_id").
group_cols: A character vector specifying the names of the columns to group by. Default is NULL, which means no grouping.
digits: An integer specifying the number of decimal places to round the result to. Default is 2.

Value

A data frame with the proportion of consistent records in the data frame, optionally by group.

Details

A record is considered consistent if it has a unique identifier and all its associated values are consistent. The function computes the proportion of consistent records in the data frame, optionally grouped by specified columns.

Examples

govhr::compute_record_consistency(
 data = govhr::bra_hrmis_personnel,
 id_col = "personnel_id",
)
#> # A tibble: 1 × 1
#>   record_consistency
#>                <dbl>
#> 1                100