check_data_dict_variables {madshapR} | R Documentation |
Assess a data dictionary for potential issues in variables
Description
Generates a data frame report of any non-unique variable names in the 'Variables' element. This report can be used to help assess data structure, presence of fields, coherence across elements, and taxonomy or data dictionary formats.
Usage
check_data_dict_variables(data_dict)
Arguments
data_dict |
A list of data frame(s) representing metadata to be evaluated. |
Details
A data dictionary contains the list of variables in a dataset and metadata
about the variables and can be associated with a dataset. A data dictionary
object is a list of data frame(s) named 'Variables' (required) and
'Categories' (if any). To be usable in any function, the data frame
'Variables' must contain at least the name
column, with all unique and
non-missing entries, and the data frame 'Categories' must contain at least
the variable
and name
columns, with unique combination of
variable
and name
.
Value
A data frame providing non unique variables across a data dictionary.
Examples
{
# use madshapR_DEMO provided by the package
data_dict <- madshapR_DEMO$`data_dict_TOKYO - errors`
check_data_dict_variables(data_dict)
}