### Fit-for-Purpose Verdict **Verdict:** Iris is fit for single-table profiling and column-level inspection. It is not fit for any analysis that needs data from more than one table. **What it supports well** - **Basic profiling:** The 150-row Iris table is fully complete (completeness 100%), so column-level statistics are computed on every record without gaps. - **Column-level inspection:** Each column can be examined on its own, including its distribution and value ranges, without concern about missing data distorting the picture. **What it cannot support, and why** - **Cross-table aggregation:** Iris is the only table (100% largest-table share) and no validated joins exist, so there is nothing to combine it with. Any blended or multi-table metric would be unreliable. - **Relationship-based conclusions:** The 100% referential integrity score is vacuous. No foreign key constraints exist to violate, so the score says nothing about how well Iris connects to other data. Do not cite it as evidence of relational quality. **Top remediation steps** 1. **Treat the referential integrity score as non-informative.** No FK relationships were detected, so the 100% reflects the absence of constraints, not verified integrity. Because the dataset is a single table, this is a structural feature and not a defect to fix. Scope analyses to Iris alone, and revisit joins only if additional tables are brought into the dataset.