```json { "scores": [ { "id": "cnv_b9e6490afc4b4af8", "score": 35, "tier": "not_useful", "rationale": "Malformed response; lists potential questions but provides no actual analysis or concrete findings." }, { "id": "cnv_a9d6b51b03b84c0b", "score": 78, "tier": "great", "rationale": "Concrete table sizes, row/column counts, time span (2013–2024). Essential orientation with evidence. Actionable baseline." }, { "id": "cnv_00aea70debd547be", "score": 72, "tier": "regular", "rationale": "Clear dataset summary and row definition. Useful context but lacks specificity on key metrics or surprising patterns." }, { "id": "cnv_779bf56ac92c4781", "score": 58, "tier": "regular", "rationale": "Partial column classification with caveats. Identifies key candidates but incomplete; useful for schema understanding." }, { "id": "cnv_c55893c8b5f34fa3", "score": 75, "tier": "great", "rationale": "Concrete sample rows with named players, dates, tournaments. Shows exactly what a row represents. High clarity and evidence." }, { "id": "cnv_5a493208ea6947e9", "score": 82, "tier": "great", "rationale": "Precise missing-value percentages (36.59%, 4.38%, 1.85%) with actionable insight: seven columns missing together suggests data source gap." }, { "id": "cnv_12bb4f94d5f64168", "score": 76, "tier": "great", "rationale": "Identifies exact duplicates (2 per table) and near-duplicates (repeated match keys). Concrete counts and data-quality implications." }, { "id": "cnv_1e6233ec503d4b30", "score": 20, "tier": "not_useful", "rationale": "Placeholder with no actual content or findings." }, { "id": "cnv_a476d8f834ba4901", "score": 65, "tier": "regular", "rationale": "Min/max/mean for numeric columns (rank 1–2225, year 2002–2024). Useful but incomplete; lacks median and spread measures." }, { "id": "cnv_08045317639c4528", "score": 62, "tier": "regular", "rationale": "Flags date format inconsistency (non-breaking hyphen) and mixed separators. Actionable data-quality issue but partially supported." }, { "id": "cnv_b736a7c3031044ff", "score": 74, "tier": "great", "rationale": "Top players named with exact frequencies (Djokovic 0.61%, Nadal 0.60%). Rounds and surfaces quantified. Concrete, actionable." }, { "id": "cnv_31daec3def3f4336", "score": 48, "tier": "not_useful", "rationale": "Admits no correlation computed. Infers relationships from null patterns only; lacks statistical rigor and actionability." }, { "id": "cnv_a55dbde8c0b34a18", "score": 42, "tier": "not_useful", "rationale": "Incomplete; no row-level data retrieved. Lists min/max but cannot name players or matches behind them." }, { "id": "cnv_4c9e2e122c5942e6", "score": 20, "tier": "not_useful", "rationale": "Placeholder with no content." }, { "id": "cnv_637e1ae0cf17476c", "score": 20, "tier": "not_useful", "rationale": "Placeholder with no content." }, { "id": "cnv_f5687381a52e4bfb", "score": 81, "tier": "great", "rationale": "Identifies surface as key segmentation with concrete counts (Hard 117k, Clay 107k, Grass 9k, Carpet 2k) and aces by surface (3.38–7.94). Actionable." }, { "id": "cnv_b27dbe7125cf469f", "score": 73, "tier": "great", "rationale": "Counterintuitive finding: clay produces half the aces of hard courts despite similar data completeness. Specific numbers and table. Prompts investigation." }, { "id": "cnv_773bb38283714e75", "score": 79, "tier": "great", "rationale": "Three concrete analytical questions with supporting metrics (aces 3.4–7.9 by surface, SP 73.1–84.1). Specific, actionable, well-grounded." } ] } ```