```json { "scores": [ { "id": "cnv_9112ea37d3d24ef5", "score": 75, "tier": "regular", "rationale": "Clear dataset overview and row definition. Foundational but lacks specificity on survival rates or key patterns." }, { "id": "cnv_01a4aa89df9c4115", "score": 72, "tier": "regular", "rationale": "Complete column inventory with types and meanings. Essential reference but purely descriptive, no analytical insight." }, { "id": "cnv_dc57441cce2d4a1f", "score": 68, "tier": "regular", "rationale": "Useful schema classification for analysis planning. Solid taxonomy but mechanical—doesn't reveal data patterns." }, { "id": "cnv_944df8582517451c", "score": 65, "tier": "regular", "rationale": "Confirms 891 rows, 16 columns, no time dimension. Factual but expected; clarifies dataset scope without surprise." }, { "id": "cnv_6d39b0500c2b487f", "score": 62, "tier": "regular", "rationale": "Sample rows shown with column descriptions. Helpful for orientation but generic—doesn't highlight anomalies or patterns." }, { "id": "cnv_ca9eddc397b344ca", "score": 82, "tier": "great", "rationale": "Concrete missing-data percentages (Age 19.9%, Cabin 77.1%, Embarked 0.2%). Critical for analysis planning and imputation decisions." }, { "id": "cnv_80896c28ac5f493d", "score": 58, "tier": "not_useful", "rationale": "Confirms no duplicates. Correct but low-signal; expected for passenger manifests. Minimal actionability." }, { "id": "cnv_0519d4bc19cc4cd0", "score": 70, "tier": "regular", "rationale": "Distinct value counts for categoricals (Cabin 147, Ticket 681, Name 891). Useful for cardinality assessment but mechanical." }, { "id": "cnv_26bdbd9288b54dc3", "score": 78, "tier": "regular", "rationale": "Detailed numeric distributions (Age mean 29.7, Fare mean £32.20, right-skewed). Solid foundation for understanding variable ranges and spread." }, { "id": "cnv_197eb2b9b67b437e", "score": 75, "tier": "regular", "rationale": "Frequency tables for categorical columns (Southampton 72%, Cherbourg 19%). Clear but expected patterns; limited surprise." }, { "id": "cnv_73c1bc8556654af1", "score": 85, "tier": "great", "rationale": "Identifies 15 zero-fare anomalies, 687 missing cabins, inconsistent age formats. Concrete quality issues with actionable remediation paths." }, { "id": "cnv_1c575f7f4fd14c7b", "score": 72, "tier": "regular", "rationale": "Correlation matrix (Parch-SibSp 0.415, Fare-Survived 0.257). Useful for feature relationships but weak correlations limit predictive insight." }, { "id": "cnv_f272989413ea46a6", "score": 80, "tier": "great", "rationale": "Identifies Fare as key metric, shows top/bottom records with names and survival outcomes. Concrete examples ground analysis in real passengers." }, { "id": "cnv_6b033cb4168647b8", "score": 88, "tier": "great", "rationale": "Natural segmentation by class with survival rates (1st 63%, 3rd 24.2%). Reveals stratification patterns; directly actionable for stratified analysis." }, { "id": "cnv_d82db98e7d984fc5", "score": 90, "tier": "great", "rationale": "Survival by class with specific percentages and gender breakdown. Concrete, surprising (women 74.2% vs men 18.9%), directly answers core question." }, { "id": "cnv_de5adc2b955b4ab0", "score": 70, "tier": "regular", "rationale": "Geographic distribution across 3 ports (Southampton 72%). Clear but limited—doesn't connect location to survival or other outcomes." }, { "id": "cnv_85d5a8b47b6b46a8", "score": 92, "tier": "great", "rationale": "Counterintuitive finding: 3rd-class children (37.2%) survived less than 1st-class men (36.9%). Challenges assumptions; highly surprising and decision-changing." }, { "id": "cnv_d76be44c357e49f1", "score": 86, "tier": "great", "rationale": "Three high-value research questions with concrete survival rates (women 74.2%, 1st-class 63%, 3rd-class 24.2%). Guides next analytical steps clearly." } ] } ```