```json { "scores": [ { "id": "cnv_b76296a6433446aa", "score": 92, "tier": "great", "rationale": "Establishes dataset scope, row definition, and key columns with concrete examples. Essential orientation." }, { "id": "cnv_d3a1d2a2dfa64f75", "score": 88, "tier": "great", "rationale": "Complete column inventory with types and meanings. Flags data-quality issues (non-breaking spaces, format inconsistency) upfront." }, { "id": "cnv_0b1c5501e0d7496a", "score": 85, "tier": "great", "rationale": "Precise row/column counts, date range (2015–2020), and parsing success rate. Actionable baseline." }, { "id": "cnv_1383509ac3954eb7", "score": 72, "tier": "regular", "rationale": "Useful schema classification but lacks evidence queries and result tables. Partially speculative." }, { "id": "cnv_478b2f894ec44341", "score": 68, "tier": "regular", "rationale": "Representative sample with typical patterns shown. Helpful but mostly descriptive; low surprise value." }, { "id": "cnv_e2645e1b26de40ca", "score": 90, "tier": "great", "rationale": "Identifies hidden missing data (966 blanks in Amount, 31.7%). Critical for analysis planning." }, { "id": "cnv_1e48c5d5621749f8", "score": 75, "tier": "regular", "rationale": "Confirms no exact/near duplicates and explains legitimate repeats. Reassuring but expected finding." }, { "id": "cnv_ff333d2394874661", "score": 78, "tier": "regular", "rationale": "Cardinality counts per column. Useful for modeling but straightforward; no surprises." }, { "id": "cnv_b0c3fa52d1ad4148", "score": 65, "tier": "regular", "rationale": "Partial results due to SQL errors. Provides median/quartiles for Amount but incomplete; limits utility." }, { "id": "cnv_43ac9bef69c2475b", "score": 94, "tier": "great", "rationale": "Comprehensive data-quality audit: 32% missing amounts, format inconsistencies, encoding artifacts. Actionable cleanup roadmap." }, { "id": "cnv_daf024c3482b4ce6", "score": 86, "tier": "great", "rationale": "Top values for key dimensions (cities, verticals, rounds). Flags Bangalore/Bengaluru spelling split. Concrete and actionable." }, { "id": "cnv_1088544decb64694", "score": 48, "tier": "not_useful", "rationale": "Partial results, failed follow-ups, unvalidated MI scores. Too incomplete to trust or act on." }, { "id": "cnv_25b696b8651748aa", "score": 89, "tier": "great", "rationale": "Identifies Amount as key metric, shows extremes (Rapido $3.9B, Flipkart $2.5B). Concrete and decision-relevant." }, { "id": "cnv_cb9d918b5d4e4ad3", "score": 87, "tier": "great", "rationale": "Clear trend: deal count shrinks 2015–2020, median ticket size rises. Actionable insight with year-by-year breakdown." }, { "id": "cnv_735549f05c0040d1", "score": 84, "tier": "great", "rationale": "Metric–category breakdown (Amount by Vertical). Consumer Internet dominates; eCommerce variants identified. Specific and useful." }, { "id": "cnv_0e271d7d2818488d", "score": 82, "tier": "great", "rationale": "Three segmentation axes (round type, city, year) with deal counts. Private Equity and Seed dominate. Clear structure." }, { "id": "cnv_4e6f960c9f914649", "score": 85, "tier": "great", "rationale": "Geographic concentration mapped (Bengaluru 27.6%, Mumbai 18.6%). Flags spelling variants needing cleanup." }, { "id": "cnv_ed132d34aa234e3b", "score": 91, "tier": "great", "rationale": "Counterintuitive finding: Rapido $3.9B Series B exceeds Flipkart/Paytm rounds. Flags potential data error; high surprise value." }, { "id": "cnv_8d3de572d17841b0", "score": 79, "tier": "regular", "rationale": "Proposes three analytical questions with partial evidence. Useful framing but some questions lack full support." } ] } ```