```json { "scores": [ { "id": "cnv_3b04f28e8328422d", "score": 72, "tier": "regular", "rationale": "Clear dataset overview and row definition. Foundational but expected for first-time viewers." }, { "id": "cnv_9eb35d5aae574354", "score": 68, "tier": "regular", "rationale": "Useful column taxonomy with concrete counts. Boilerplate structure; low surprise value." }, { "id": "cnv_0b0bc0f28c2048ba", "score": 65, "tier": "regular", "rationale": "Complete column reference with types and ranges. Essential reference but low actionability." }, { "id": "cnv_363d57286c5f4b96", "score": 58, "tier": "not_useful", "rationale": "Sample rows shown but answer is vague, lacks specific row data, mostly descriptive." }, { "id": "cnv_46c1e6a3f480451f", "score": 62, "tier": "regular", "rationale": "Confirms 891 rows, 16 columns, no time period. Factual but minimal analytical value." }, { "id": "cnv_0c3d5f324997452c", "score": 78, "tier": "regular", "rationale": "Precise missing-value percentages (77% Cabin, 20% Age, 0.22% Embarked). Actionable for imputation decisions." }, { "id": "cnv_562eee6e764b4ca5", "score": 55, "tier": "not_useful", "rationale": "Confirms no duplicates via PassengerId uniqueness. Expected finding, low signal." }, { "id": "cnv_c236ac30a8114127", "score": 70, "tier": "regular", "rationale": "Cardinality counts for all categorical columns with table. Useful reference; limited surprise." }, { "id": "cnv_0756e8fdd7bb40d0", "score": 82, "tier": "great", "rationale": "Identifies 15 zero fares, age outliers, extreme fare skew, and Parch anomalies. Concrete, actionable data-quality issues." }, { "id": "cnv_e38f65d910a84c55", "score": 75, "tier": "regular", "rationale": "Frequency distributions for Sex, Pclass, Survived with percentages. Clear but expected patterns." }, { "id": "cnv_0f14fd070c3442d8", "score": 76, "tier": "regular", "rationale": "Full numeric summaries (min, max, mean, median, SD) for Age, Fare, SibSp, Parch. Comprehensive reference." }, { "id": "cnv_64b82f4a508b4180", "score": 80, "tier": "great", "rationale": "Identifies Fare↔Pclass (-0.549), Age↔Pclass (-0.369), Pclass↔Survived (-0.338) correlations. Concrete, interpretable relationships." }, { "id": "cnv_05c466ddfe2947e9", "score": 72, "tier": "regular", "rationale": "Justifies Fare as key metric, shows highest/lowest records. Useful but somewhat obvious choice." }, { "id": "cnv_123444c67eb94497", "score": 85, "tier": "great", "rationale": "Reveals 74.2% female vs 18.9% male survival—stark disparity grounded in 'women and children first' protocol. Highly actionable." }, { "id": "cnv_7e1cd4355bb94557", "score": 68, "tier": "regular", "rationale": "Geographic distribution across 3 ports (Southampton 72%, Cherbourg 19%, Queenstown 9%). Contextual but limited analytical depth." }, { "id": "cnv_567a3c31a0ea473e", "score": 79, "tier": "great", "rationale": "Identifies Pclass and Gender×Class as natural segments with survival rates (63% vs 24% by class). Directly actionable for stratified analysis." }, { "id": "cnv_ca654244e57a4d24", "score": 88, "tier": "great", "rationale": "Counterintuitive finding: large third-class families negated female survival advantage. Surprising, specific, evidence-backed, drives investigation." }, { "id": "cnv_8b1ef8ec96f34830", "score": 74, "tier": "regular", "rationale": "Three analytical questions about socioeconomic-survival links. Well-framed but generic; doesn't answer them." } ] } ```