### 2.1 Integration Assessment The dataset consists of one self-contained table, **Iris** (150 rows), so no joins are detected and none are needed. This is structural, consistent with the 100% referential integrity score. Because Iris holds all observations in a single table, its value grows by linking it to external reference data, such as botanical taxonomy or other flower measurement collections, rather than by changing its internal design. ### 2.2 Recommended Actions - **Link to a species reference dataset.** Adding taxonomic or habitat attributes to the species labels in Iris would let analysts go beyond measurements and explain why species differ. - **Benchmark against other plant measurement collections.** Comparing Iris against larger external datasets would test whether its patterns hold beyond 150 rows. - **Add a stable record identifier.** A unique key per observation would make future joins to external sources reliable and traceable. - **Plan schema evolution deliberately.** If new fields such as collection site or date are added, document them so the table can grow into a multi-table model without disrupting existing analysis.