When a data set is normalised or augmented the original column names are
stored as metadata. This helps us determine how a particular item was created.
In future this will be useful for documentation.
Usage
extract_dependencies(data, col, original = TRUE)
Arguments
- data
the dataframe
- col
the column as a symbol
- original
map the names to the original column names from the data. If
this is false the function returns a list of current normalised column names.
Value
a named list of dependencies and original column names for a given
column