Statistical profiling of bibliographic metadata with marcxmlr
A catalogue as a statistical population | Dataset and limits of inference | 1. Coverage: how often does a record have topical subject access? | 2. Indexing intensity: how many topical subject fields per record? | 3. Authority identifiers: use field instances, not subfield rows | 4. A more revealing association: subject subdivisions and $0 | Check an important confounding factor: subject vocabulary | 5. Return from a statistical pattern to original MARC fields | 6. Reuse a MARC-aware query to select complete records | 7. From a sample to a catalogue-scale study | Conclusions
Rendered frommarcxmlr-workflow.Rmdusingknitr::rmarkdown