Compute the proportion of consistent records and values in a data frame.

Usage

compute_global_consistency(data, id_col, value_cols, digits = 2)

Arguments

data: A data frame.
id_col: A string specifying the name of the column that uniquely identifies records.
value_cols: A character vector specifying the name(s) of columns whose values are to be checked for consistency. Value consistency is computed separately for each column and averaged across columns before being combined with record consistency.
digits: An integer specifying the number of decimal places to round the result to. Default is 2.

Value

A numeric value representing the proportion of consistent records and values in the data frame.

Details

Consistency is defined as the proportion of records and values that are consistent across the dataset. A record is considered consistent if it has a unique identifier and all its associated values are consistent. A value is considered consistent if it does not contradict other values for the same record.

Examples

govhr::compute_global_consistency(
  data = govhr::bra_hrmis_personnel,
  id_col = "personnel_id",
  value_cols = c("birth_date")
)
#> [1] 100