Upload full tabular_datasets real data root

.gitattributes

@@ -19468,3 +19468,45 @@ SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_200132/stag
 SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_200132/staged/tvae/model_input_manifest.json filter=lfs diff=lfs merge=lfs -text
 SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_200132/tvae-n11-15215-20260520_204109.csv filter=lfs diff=lfs merge=lfs -text
 SynthData0523/hyper_parameter_tuning/n11/tvae/runs/tvae-n11-20260520_200132/tvae_metadata.json filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c10/c10-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c10/c10-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c12/c12-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c12/c12-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c13/c13-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c13/c13-test.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c13/c13-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c13/c13-val.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c14/c14-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c14/c14-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c15/c15-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c15/c15-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c18/c18-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c18/c18-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c19/c19-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c19/c19-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c21/c21-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c21/c21-test.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c21/c21-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/c21/c21-val.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/m11/m11-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/m11/m11-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/m12/m12-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/m12/m12-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/m2/m2-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/m2/m2-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n13/n13-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n13/n13-test.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n13/n13-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n13/n13-val.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n16/n16-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n16/n16-test.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n16/n16-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n16/n16-val.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n18/n18-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n18/n18-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n19/n19-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n19/n19-test.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n19/n19-train.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n19/n19-val.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n5/n5-main.csv filter=lfs diff=lfs merge=lfs -text
+raw_data/tabular_datasets/n5/n5-train.csv filter=lfs diff=lfs merge=lfs -text

raw_data/tabular_datasets/Readme.md

@@ -0,0 +1,75 @@
+# Tabular Datasets Directory Overview
+
+This directory stores tabular source datasets and split files used by SyntheticNips, and serves as an input source for downstream SynEvolve pipelines.
+
+## 1. Directory Layout
+
+Each dataset is stored in its own folder.
+
+Dataset folder naming pattern:
+
+- `c\d+`
+- `m\d+`
+- `n\d+`
+
+Examples: `c2`, `m1`, `n18`.
+
+Inside each dataset folder, the expected files are:
+
+- `<dataset_id>-main.csv`
+- `<dataset_id>-train.csv`
+- `<dataset_id>-val.csv`
+- `<dataset_id>-test.csv`
+
+Example (`c2`):
+
+- `c2/c2-main.csv`
+- `c2/c2-train.csv`
+- `c2/c2-val.csv`
+- `c2/c2-test.csv`
+
+## 2. Supporting Metadata Files
+
+This directory also contains supporting files for auditing, registry tracking, and manual review:
+
+- `dataset_audit_table.csv`
+- `normalized_registry.csv`
+- `manual_review_queue.csv`
+- `rename_and_split_actions_log.csv`
+- `file_actions_log.csv`
+- `one_csv_summary.md`
+- `tree-tabular-datasets.txt`
+
+## 3. Relation to Artifacts
+
+`original/tabular_datasets` is the source-data area and should not be used for generated JSON artifacts.
+
+Standard data-core artifacts are written to:
+
+- `artifacts/data_core/tabular/<dataset_id>/`
+
+Required artifact files per dataset:
+
+- `<dataset_id>-dataset_profile.json`
+- `<dataset_id>-column_validation_report.json`
+- `<dataset_id>-split_manifest.json`
+
+Global run outputs:
+
+- `artifacts/data_core/tabular/data_core_actions_log.csv`
+- `artifacts/data_core/tabular/run_summary.json`
+
+## 4. Usage Notes
+
+- Do not manually edit `*-main.csv`, `*-train.csv`, `*-val.csv`, or `*-test.csv` unless explicitly intended.
+- To generate/rebuild standard artifacts, run:
+  - `build_tabular_data_core_artifacts.py` (from the repository root)
+- By default, existing artifacts are not overwritten.
+- Use `--overwrite` only when a full rebuild is required.
+- Failures in one dataset should be logged and should not stop batch processing for other datasets.
+
+## 5. Maintenance Conventions
+
+- Ensure folder name and filename prefixes match the same `dataset_id`.
+- Record bulk renaming/splitting operations in action logs.
+- Put manual follow-up items into `manual_review_queue.csv` when needed.

raw_data/tabular_datasets/artifacts/data_core/tabular/c10/c10-column_validation_report.json

@@ -0,0 +1,145 @@
+{
+  "version": "0.1.0",
+  "dataset_id": "c10",
+  "generated_at": "2026-02-24T18:09:10+00:00",
+  "checks_summary": {
+    "total_columns": 11,
+    "pass_count": 4,
+    "warning_count": 11,
+    "error_count": 0
+  },
+  "column_findings": [
+    {
+      "column_name": "1",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "1",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "1",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "13",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 13,
+        "unique_ratio": 6.5e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "2",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 4,
+        "unique_ratio": 1e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "4",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 13,
+        "unique_ratio": 6.5e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "2",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 4,
+        "unique_ratio": 1e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "3",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 13,
+        "unique_ratio": 6.5e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "1",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 13,
+        "unique_ratio": 1.6e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "12",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 13,
+        "unique_ratio": 6.5e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "0",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
+        "unique_count": 10,
+        "unique_ratio": 5e-05
+      },
+      "suggested_action": "treat_as_categorical"
+    }
+  ]
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c10/c10-dataset_profile.json

@@ -0,0 +1,236 @@
+{
+  "version": "0.1.0",
+  "dataset_id": "c10",
+  "generated_at": "2026-02-24T18:09:10+00:00",
+  "source_files": {
+    "main": "original/tabular_datasets/c10/c10-main.csv",
+    "train": "original/tabular_datasets/c10/c10-train.csv",
+    "val": "original/tabular_datasets/c10/c10-val.csv",
+    "test": "original/tabular_datasets/c10/c10-test.csv"
+  },
+  "row_counts": {
+    "main": 1025009,
+    "train": 820007,
+    "val": 102500,
+    "test": 102502
+  },
+  "column_count": 11,
+  "columns": [
+    "1",
+    "1",
+    "1",
+    "13",
+    "2",
+    "4",
+    "2",
+    "3",
+    "1",
+    "12",
+    "0"
+  ],
+  "column_profiles": {
+    "1": {
+      "raw_dtype": "string",
+      "inferred_type": "numerical",
+      "missing_count": 0,
+      "missing_ratio": 0.0,
+      "unique_count": 13,
+      "unique_ratio": 1.6e-05,
+      "sample_values": [
+        "3",
+        "12",
+        "2",
+        "1",
+        "9"
+      ],
+      "warnings": [
+        "numeric_low_cardinality_codelike"
+      ],
+      "min": 1.0,
+      "max": 13.0,
+      "mean": 3.62419,
+      "std": 2.868911,
+      "quantiles": {
+        "0.25": 2.0,
+        "0.5": 3.0,
+        "0.75": 4.0
+      }
+    },
+    "13": {
+      "raw_dtype": "string",
+      "inferred_type": "numerical",
+      "missing_count": 0,
+      "missing_ratio": 0.0,
+      "unique_count": 13,
+      "unique_ratio": 6.5e-05,
+      "sample_values": [
+        "2",
+        "6",
+        "13",
+        "7",
+        "5"
+      ],
+      "warnings": [
+        "numeric_low_cardinality_codelike"
+      ],
+      "min": 1.0,
+      "max": 13.0,
+      "mean": 7.01219,
+      "std": 3.746536,
+      "quantiles": {
+        "0.25": 4.0,
+        "0.5": 7.0,
+        "0.75": 10.0
+      }
+    },
+    "2": {
+      "raw_dtype": "string",
+      "inferred_type": "numerical",
+      "missing_count": 0,
+      "missing_ratio": 0.0,
+      "unique_count": 4,
+      "unique_ratio": 1e-05,
+      "sample_values": [
+        "3",
+        "4",
+        "1",
+        "2"
+      ],
+      "warnings": [
+        "numeric_low_cardinality_codelike"
+      ],
+      "min": 1.0,
+      "max": 4.0,
+      "mean": 2.49976,
+      "std": 1.118056,
+      "quantiles": {
+        "0.25": 1.0,
+        "0.5": 3.0,
+        "0.75": 3.0
+      }
+    },
+    "4": {
+      "raw_dtype": "string",
+      "inferred_type": "numerical",
+      "missing_count": 0,
+      "missing_ratio": 0.0,
+      "unique_count": 13,
+      "unique_ratio": 6.5e-05,
+      "sample_values": [
+        "11",
+        "4",
+        "13",
+        "2",
+        "3"
+      ],
+      "warnings": [
+        "numeric_low_cardinality_codelike"
+      ],
+      "min": 1.0,
+      "max": 13.0,
+      "mean": 6.992725,
+      "std": 3.74374,
+      "quantiles": {
+        "0.25": 4.0,
+        "0.5": 7.0,
+        "0.75": 10.0
+      }
+    },
+    "3": {
+      "raw_dtype": "string",
+      "inferred_type": "numerical",
+      "missing_count": 0,
+      "missing_ratio": 0.0,
+      "unique_count": 13,
+      "unique_ratio": 6.5e-05,
+      "sample_values": [
+        "5",
+        "2",
+        "1",
+        "11",
+        "12"
+      ],
+      "warnings": [
+        "numeric_low_cardinality_codelike"
+      ],
+      "min": 1.0,
+      "max": 13.0,
+      "mean": 7.00097,
+      "std": 3.745161,
+      "quantiles": {
+        "0.25": 4.0,
+        "0.5": 7.0,
+        "0.75": 10.0
+      }
+    },
+    "12": {
+      "raw_dtype": "string",
+      "inferred_type": "numerical",
+      "missing_count": 0,
+      "missing_ratio": 0.0,
+      "unique_count": 13,
+      "unique_ratio": 6.5e-05,
+      "sample_values": [
+        "5",
+        "9",
+        "6",
+        "7",
+        "10"
+      ],
+      "warnings": [
+        "numeric_low_cardinality_codelike"
+      ],
+      "min": 1.0,
+      "max": 13.0,
+      "mean": 6.98698,
+      "std": 3.738965,
+      "quantiles": {
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+        "0.5": 7.0,
+        "0.75": 10.0
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+    },
+    "0": {
+      "raw_dtype": "string",
+      "inferred_type": "numerical",
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+      "missing_ratio": 0.0,
+      "unique_count": 10,
+      "unique_ratio": 5e-05,
+      "sample_values": [
+        "1",
+        "0",
+        "2",
+        "3",
+        "5"
+      ],
+      "warnings": [
+        "numeric_low_cardinality_codelike"
+      ],
+      "min": 0.0,
+      "max": 9.0,
+      "mean": 0.615665,
+      "std": 0.770793,
+      "quantiles": {
+        "0.25": 0.0,
+        "0.5": 0.0,
+        "0.75": 1.0
+      }
+    }
+  },
+  "summary": {
+    "n_rows": 1025009,
+    "n_cols": 11,
+    "type_counts": {
+      "numerical": 11
+    },
+    "profile_sample_rows": 200000
+  },
+  "candidates": {
+    "target_candidates": [],
+    "id_like_candidates": [],
+    "constant_columns": [],
+    "high_cardinality_columns": []
+  },
+  "warnings": []
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c10/c10-split_manifest.json

@@ -0,0 +1,58 @@
+{
+  "version": "0.1.0",
+  "manifest_id": "c10-20260224190917",
+  "dataset_id": "c10",
+  "generated_at": "2026-02-24T18:09:10+00:00",
+  "seed": {
+    "status": "unknown",
+    "value": null,
+    "diagnostics": "No split seed metadata available in source CSV files."
+  },
+  "split_scheme": {
+    "train_ratio": 0.8,
+    "val_ratio": 0.099999,
+    "test_ratio": 0.100001,
+    "shuffle": "unknown"
+  },
+  "source_main_file": "original/tabular_datasets/c10/c10-main.csv",
+  "split_files": {
+    "train": "original/tabular_datasets/c10/c10-train.csv",
+    "val": "original/tabular_datasets/c10/c10-val.csv",
+    "test": "original/tabular_datasets/c10/c10-test.csv"
+  },
+  "row_counts": {
+    "main": 1025009,
+    "train": 820007,
+    "val": 102500,
+    "test": 102502
+  },
+  "row_conservation_check": true,
+  "file_stats": {
+    "main": {
+      "size_bytes": 25152027
+    },
+    "train": {
+      "size_bytes": 20120910
+    },
+    "val": {
+      "size_bytes": 2515861
+    },
+    "test": {
+      "size_bytes": 2515306
+    }
+  },
+  "query_protocol_placeholders": {
+    "outer_split": "TODO",
+    "inner_query_generation": "TODO",
+    "visible_split": "train+val",
+    "holdout_split": "test",
+    "holdout_slices": "TODO",
+    "seed": "TODO",
+    "status": "placeholder"
+  },
+  "warnings": [],
+  "diagnostics": {
+    "split_errors": {},
+    "all_required_splits_present": true
+  }
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c11/c11-column_validation_report.json

@@ -0,0 +1,12 @@
+{
+  "version": "0.1.0",
+  "dataset_id": "c11",
+  "generated_at": "2026-02-24T18:09:17+00:00",
+  "checks_summary": {
+    "total_columns": 43,
+    "pass_count": 43,
+    "warning_count": 0,
+    "error_count": 0
+  },
+  "column_findings": []
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c11/c11-dataset_profile.json

@@ -0,0 +1,204 @@
+{
+  "version": "0.1.0",
+  "dataset_id": "c11",
+  "generated_at": "2026-02-24T18:09:17+00:00",
+  "source_files": {
+    "main": "original/tabular_datasets/c11/c11-main.csv",
+    "train": "original/tabular_datasets/c11/c11-train.csv",
+    "val": "original/tabular_datasets/c11/c11-val.csv",
+    "test": "original/tabular_datasets/c11/c11-test.csv"
+  },
+  "row_counts": {
+    "main": 67556,
+    "train": 54044,
+    "val": 6755,
+    "test": 6757
+  },
+  "column_count": 43,
+  "columns": [
+    "b",
+    "b",
+    "b",
+    "b",
+    "b",
+    "b",
+    "b",
+    "b",
+    "b",
+    "b",
+    "b",
+    "b",
+    "x",
+    "o",
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raw_data/tabular_datasets/artifacts/data_core/tabular/c11/c11-split_manifest.json

@@ -0,0 +1,58 @@
+{
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+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c12/c12-column_validation_report.json

@@ -0,0 +1,12 @@
+{
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+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c12/c12-split_manifest.json

@@ -0,0 +1,58 @@
+{
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+  }
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c13/c13-column_validation_report.json

@@ -0,0 +1,613 @@
+{
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+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c13/c13-dataset_profile.json

@@ -0,0 +1,1973 @@
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raw_data/tabular_datasets/artifacts/data_core/tabular/c13/c13-split_manifest.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c14/c14-column_validation_report.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c14/c14-dataset_profile.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c14/c14-split_manifest.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c15/c15-column_validation_report.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c15/c15-dataset_profile.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c15/c15-split_manifest.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c16/c16-column_validation_report.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c16/c16-dataset_profile.json

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+      "raw_dtype": "string",
+      "inferred_type": "id_like",
+      "missing_count": 0,
+      "missing_ratio": 0.0,
+      "unique_count": 6896,
+      "unique_ratio": 1.0,
+      "sample_values": [
+        "\\/wiki\\/Batman_(Bruce_Wayne)",
+        "\\/wiki\\/Superman_(Clark_Kent)",
+        "\\/wiki\\/Green_Lantern_(Hal_Jordan)",
+        "\\/wiki\\/James_Gordon_(New_Earth)",
+        "\\/wiki\\/Richard_Grayson_(New_Earth)"
+      ],
+      "warnings": [
+        "high_cardinality_idlike"
+      ],
+      "top_values": [
+        {
+          "value": "\\/wiki\\/Batman_(Bruce_Wayne)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Superman_(Clark_Kent)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Green_Lantern_(Hal_Jordan)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/James_Gordon_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Richard_Grayson_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Wonder_Woman_(Diana_Prince)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Aquaman_(Arthur_Curry)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Timothy_Drake_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Dinah_Laurel_Lance_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Flash_(Barry_Allen)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/GenderTest",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Alan_Scott_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Barbara_Gordon_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Jason_Garrick_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Lois_Lane_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Alfred_Pennyworth_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Carter_Hall_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Kyle_Rayner_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Raymond_Palmer_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        },
+        {
+          "value": "\\/wiki\\/Alexander_Luthor_(New_Earth)",
+          "count": 1,
+          "ratio": 0.000145
+        }
+      ]
+    },
+    "ID": {
+      "raw_dtype": "string",
+      "inferred_type": "categorical",
+      "missing_count": 2013,
+      "missing_ratio": 0.291908,
+      "unique_count": 3,
+      "unique_ratio": 0.000614,
+      "sample_values": [
+        "Secret Identity",
+        "Public Identity",
+        "Identity Unknown"
+      ],
+      "warnings": [],
+      "top_values": [
+        {
+          "value": "Public Identity",
+          "count": 2466,
+          "ratio": 0.505017
+        },
+        {
+          "value": "Secret Identity",
+          "count": 2408,
+          "ratio": 0.493139
+        },
+        {
+          "value": "Identity Unknown",
+          "count": 9,
+          "ratio": 0.001843
+        }
+      ]
+    },
+    "ALIGN": {
+      "raw_dtype": "string",
+      "inferred_type": "categorical",
+      "missing_count": 601,
+      "missing_ratio": 0.087152,
+      "unique_count": 4,
+      "unique_ratio": 0.000635,
+      "sample_values": [
+        "Good Characters",
+        "Bad Characters",
+        "Neutral Characters",
+        "Reformed Criminals"
+      ],
+      "warnings": [],
+      "top_values": [
+        {
+          "value": "Bad Characters",
+          "count": 2895,
+          "ratio": 0.459889
+        },
+        {
+          "value": "Good Characters",
+          "count": 2832,
+          "ratio": 0.449881
+        },
+        {
+          "value": "Neutral Characters",
+          "count": 565,
+          "ratio": 0.089754
+        },
+        {
+          "value": "Reformed Criminals",
+          "count": 3,
+          "ratio": 0.000477
+        }
+      ]
+    },
+    "EYE": {
+      "raw_dtype": "string",
+      "inferred_type": "categorical",
+      "missing_count": 3628,
+      "missing_ratio": 0.526102,
+      "unique_count": 17,
+      "unique_ratio": 0.005202,
+      "sample_values": [
+        "Blue Eyes",
+        "Brown Eyes",
+        "Green Eyes",
+        "Purple Eyes",
+        "Black Eyes"
+      ],
+      "warnings": [],
+      "top_values": [
+        {
+          "value": "Blue Eyes",
+          "count": 1102,
+          "ratio": 0.337209
+        },
+        {
+          "value": "Brown Eyes",
+          "count": 879,
+          "ratio": 0.268972
+        },
+        {
+          "value": "Black Eyes",
+          "count": 412,
+          "ratio": 0.126071
+        },
+        {
+          "value": "Green Eyes",
+          "count": 291,
+          "ratio": 0.089045
+        },
+        {
+          "value": "Red Eyes",
+          "count": 208,
+          "ratio": 0.063647
+        },
+        {
+          "value": "White Eyes",
+          "count": 116,
+          "ratio": 0.035496
+        },
+        {
+          "value": "Yellow Eyes",
+          "count": 86,
+          "ratio": 0.026316
+        },
+        {
+          "value": "Photocellular Eyes",
+          "count": 48,
+          "ratio": 0.014688
+        },
+        {
+          "value": "Grey Eyes",
+          "count": 40,
+          "ratio": 0.01224
+        },
+        {
+          "value": "Hazel Eyes",
+          "count": 23,
+          "ratio": 0.007038
+        },
+        {
+          "value": "Purple Eyes",
+          "count": 14,
+          "ratio": 0.004284
+        },
+        {
+          "value": "Violet Eyes",
+          "count": 12,
+          "ratio": 0.003672
+        },
+        {
+          "value": "Orange Eyes",
+          "count": 10,
+          "ratio": 0.00306
+        },
+        {
+          "value": "Gold Eyes",
+          "count": 9,
+          "ratio": 0.002754
+        },
+        {
+          "value": "Auburn Hair",
+          "count": 7,
+          "ratio": 0.002142
+        },
+        {
+          "value": "Pink Eyes",
+          "count": 6,
+          "ratio": 0.001836
+        },
+        {
+          "value": "Amber Eyes",
+          "count": 5,
+          "ratio": 0.00153
+        }
+      ]
+    },
+    "HAIR": {
+      "raw_dtype": "string",
+      "inferred_type": "categorical",
+      "missing_count": 2274,
+      "missing_ratio": 0.329756,
+      "unique_count": 17,
+      "unique_ratio": 0.003678,
+      "sample_values": [
+        "Black Hair",
+        "Brown Hair",
+        "White Hair",
+        "Blond Hair",
+        "Red Hair"
+      ],
+      "warnings": [],
+      "top_values": [
+        {
+          "value": "Black Hair",
+          "count": 1574,
+          "ratio": 0.340545
+        },
+        {
+          "value": "Brown Hair",
+          "count": 1148,
+          "ratio": 0.248377
+        },
+        {
+          "value": "Blond Hair",
+          "count": 744,
+          "ratio": 0.160969
+        },
+        {
+          "value": "Red Hair",
+          "count": 461,
+          "ratio": 0.09974
+        },
+        {
+          "value": "White Hair",
+          "count": 346,
+          "ratio": 0.074859
+        },
+        {
+          "value": "Grey Hair",
+          "count": 157,
+          "ratio": 0.033968
+        },
+        {
+          "value": "Green Hair",
+          "count": 42,
+          "ratio": 0.009087
+        },
+        {
+          "value": "Blue Hair",
+          "count": 41,
+          "ratio": 0.008871
+        },
+        {
+          "value": "Purple Hair",
+          "count": 32,
+          "ratio": 0.006923
+        },
+        {
+          "value": "Strawberry Blond Hair",
+          "count": 28,
+          "ratio": 0.006058
+        },
+        {
+          "value": "Orange Hair",
+          "count": 21,
+          "ratio": 0.004543
+        },
+        {
+          "value": "Pink Hair",
+          "count": 11,
+          "ratio": 0.00238
+        },
+        {
+          "value": "Gold Hair",
+          "count": 5,
+          "ratio": 0.001082
+        },
+        {
+          "value": "Violet Hair",
+          "count": 4,
+          "ratio": 0.000865
+        },
+        {
+          "value": "Silver Hair",
+          "count": 3,
+          "ratio": 0.000649
+        },
+        {
+          "value": "Reddish Brown Hair",
+          "count": 3,
+          "ratio": 0.000649
+        },
+        {
+          "value": "Platinum Blond Hair",
+          "count": 2,
+          "ratio": 0.000433
+        }
+      ]
+    },
+    "SEX": {
+      "raw_dtype": "string",
+      "inferred_type": "categorical",
+      "missing_count": 125,
+      "missing_ratio": 0.018126,
+      "unique_count": 4,
+      "unique_ratio": 0.000591,
+      "sample_values": [
+        "Male Characters",
+        "Female Characters",
+        "Genderless Characters",
+        "Transgender Characters"
+      ],
+      "warnings": [],
+      "top_values": [
+        {
+          "value": "Male Characters",
+          "count": 4783,
+          "ratio": 0.706395
+        },
+        {
+          "value": "Female Characters",
+          "count": 1967,
+          "ratio": 0.290504
+        },
+        {
+          "value": "Genderless Characters",
+          "count": 20,
+          "ratio": 0.002954
+        },
+        {
+          "value": "Transgender Characters",
+          "count": 1,
+          "ratio": 0.000148
+        }
+      ]
+    },
+    "GSM": {
+      "raw_dtype": "string",
+      "inferred_type": "categorical",
+      "missing_count": 6832,
+      "missing_ratio": 0.990719,
+      "unique_count": 2,
+      "unique_ratio": 0.03125,
+      "sample_values": [
+        "Bisexual Characters",
+        "Homosexual Characters"
+      ],
+      "warnings": [
+        "mostly_missing"
+      ],
+      "top_values": [
+        {
+          "value": "Homosexual Characters",
+          "count": 54,
+          "ratio": 0.84375
+        },
+        {
+          "value": "Bisexual Characters",
+          "count": 10,
+          "ratio": 0.15625
+        }
+      ]
+    },
+    "ALIVE": {
+      "raw_dtype": "string",
+      "inferred_type": "categorical",
+      "missing_count": 3,
+      "missing_ratio": 0.000435,
+      "unique_count": 2,
+      "unique_ratio": 0.00029,
+      "sample_values": [
+        "Living Characters",
+        "Deceased Characters"
+      ],
+      "warnings": [],
+      "top_values": [
+        {
+          "value": "Living Characters",
+          "count": 5200,
+          "ratio": 0.754389
+        },
+        {
+          "value": "Deceased Characters",
+          "count": 1693,
+          "ratio": 0.245611
+        }
+      ]
+    },
+    "APPEARANCES": {
+      "raw_dtype": "string",
+      "inferred_type": "numerical",
+      "missing_count": 355,
+      "missing_ratio": 0.051479,
+      "unique_count": 282,
+      "unique_ratio": 0.043113,
+      "sample_values": [
+        "3093",
+        "2496",
+        "1565",
+        "1316",
+        "1237"
+      ],
+      "warnings": [],
+      "min": 1.0,
+      "max": 3093.0,
+      "mean": 23.625134,
+      "std": 87.371829,
+      "quantiles": {
+        "0.25": 2.0,
+        "0.5": 6.0,
+        "0.75": 15.0
+      }
+    },
+    "FIRST APPEARANCE": {
+      "raw_dtype": "string",
+      "inferred_type": "categorical",
+      "missing_count": 69,
+      "missing_ratio": 0.010006,
+      "unique_count": 774,
+      "unique_ratio": 0.113373,
+      "sample_values": [
+        "1939, May",
+        "1986, October",
+        "1959, October",
+        "1987, February",
+        "1940, April"
+      ],
+      "warnings": [],
+      "top_values": [
+        {
+          "value": "2010, December",
+          "count": 78,
+          "ratio": 0.011425
+        },
+        {
+          "value": "2006, June",
+          "count": 48,
+          "ratio": 0.007031
+        },
+        {
+          "value": "1989, January",
+          "count": 45,
+          "ratio": 0.006591
+        },
+        {
+          "value": "2009, October",
+          "count": 44,
+          "ratio": 0.006445
+        },
+        {
+          "value": "1988, March",
+          "count": 40,
+          "ratio": 0.005859
+        },
+        {
+          "value": "2007, August",
+          "count": 39,
+          "ratio": 0.005713
+        },
+        {
+          "value": "2009, August",
+          "count": 37,
+          "ratio": 0.00542
+        },
+        {
+          "value": "1996, September",
+          "count": 36,
+          "ratio": 0.005273
+        },
+        {
+          "value": "2006, September",
+          "count": 36,
+          "ratio": 0.005273
+        },
+        {
+          "value": "2006, October",
+          "count": 34,
+          "ratio": 0.00498
+        },
+        {
+          "value": "1983, August",
+          "count": 32,
+          "ratio": 0.004687
+        },
+        {
+          "value": "1994, March",
+          "count": 31,
+          "ratio": 0.004541
+        },
+        {
+          "value": "1993, August",
+          "count": 31,
+          "ratio": 0.004541
+        },
+        {
+          "value": "2006, May",
+          "count": 31,
+          "ratio": 0.004541
+        },
+        {
+          "value": "1997, August",
+          "count": 30,
+          "ratio": 0.004394
+        },
+        {
+          "value": "1987, February",
+          "count": 29,
+          "ratio": 0.004248
+        },
+        {
+          "value": "2005, November",
+          "count": 29,
+          "ratio": 0.004248
+        },
+        {
+          "value": "2006, November",
+          "count": 29,
+          "ratio": 0.004248
+        },
+        {
+          "value": "1993",
+          "count": 28,
+          "ratio": 0.004101
+        },
+        {
+          "value": "2006, January",
+          "count": 28,
+          "ratio": 0.004101
+        }
+      ]
+    },
+    "YEAR": {
+      "raw_dtype": "string",
+      "inferred_type": "numerical",
+      "missing_count": 69,
+      "missing_ratio": 0.010006,
+      "unique_count": 79,
+      "unique_ratio": 0.011572,
+      "sample_values": [
+        "1939",
+        "1986",
+        "1959",
+        "1987",
+        "1940"
+      ],
+      "warnings": [],
+      "min": 1935.0,
+      "max": 2013.0,
+      "mean": 1989.766662,
+      "std": 16.822962,
+      "quantiles": {
+        "0.25": 1983.0,
+        "0.5": 1992.0,
+        "0.75": 2003.0
+      }
+    }
+  },
+  "summary": {
+    "n_rows": 6896,
+    "n_cols": 13,
+    "type_counts": {
+      "numerical": 3,
+      "id_like": 2,
+      "categorical": 8
+    },
+    "profile_sample_rows": 6896
+  },
+  "candidates": {
+    "target_candidates": [
+      "EYE",
+      "YEAR"
+    ],
+    "id_like_candidates": [
+      "name",
+      "urlslug"
+    ],
+    "constant_columns": [],
+    "high_cardinality_columns": [
+      "name",
+      "page_id",
+      "urlslug"
+    ]
+  },
+  "warnings": []
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c16/c16-split_manifest.json

@@ -0,0 +1,58 @@
+{
+  "version": "0.1.0",
+  "manifest_id": "c16-20260224191056",
+  "dataset_id": "c16",
+  "generated_at": "2026-02-24T18:10:56+00:00",
+  "seed": {
+    "status": "unknown",
+    "value": null,
+    "diagnostics": "No split seed metadata available in source CSV files."
+  },
+  "split_scheme": {
+    "train_ratio": 0.799884,
+    "val_ratio": 0.099913,
+    "test_ratio": 0.100203,
+    "shuffle": "unknown"
+  },
+  "source_main_file": "original/tabular_datasets/c16/c16-main.csv",
+  "split_files": {
+    "train": "original/tabular_datasets/c16/c16-train.csv",
+    "val": "original/tabular_datasets/c16/c16-val.csv",
+    "test": "original/tabular_datasets/c16/c16-test.csv"
+  },
+  "row_counts": {
+    "main": 6896,
+    "train": 5516,
+    "val": 689,
+    "test": 691
+  },
+  "row_conservation_check": true,
+  "file_stats": {
+    "main": {
+      "size_bytes": 1105600
+    },
+    "train": {
+      "size_bytes": 889767
+    },
+    "val": {
+      "size_bytes": 111085
+    },
+    "test": {
+      "size_bytes": 111822
+    }
+  },
+  "query_protocol_placeholders": {
+    "outer_split": "TODO",
+    "inner_query_generation": "TODO",
+    "visible_split": "train+val",
+    "holdout_split": "test",
+    "holdout_slices": "TODO",
+    "seed": "TODO",
+    "status": "placeholder"
+  },
+  "warnings": [],
+  "diagnostics": {
+    "split_errors": {},
+    "all_required_splits_present": true
+  }
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c16/query-C16/final_queries.sql

@@ -0,0 +1,814 @@
+-- Q001
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters';
+-- Q002
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters';
+-- Q003
+SELECT COUNT(*) FROM data WHERE "SEX" IS NULL;
+-- Q004
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Genderless Characters';
+-- Q005
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Male Characters' THEN 1 ELSE 0 END) AS FLOAT) / NULLIF(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END), 0) FROM data;
+-- Q006
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Good Characters';
+-- Q007
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters';
+-- Q008
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Neutral Characters';
+-- Q009
+SELECT CAST(SUM(CASE WHEN "ALIGN" = 'Good Characters' THEN 1 ELSE 0 END) AS FLOAT) / NULLIF(SUM(CASE WHEN "ALIGN" = 'Bad Characters' THEN 1 ELSE 0 END), 0) FROM data;
+-- Q010
+SELECT COUNT(*) FROM data WHERE "ID" = 'Secret Identity';
+-- Q011
+SELECT COUNT(*) FROM data WHERE "ID" = 'Public Identity';
+-- Q012
+SELECT COUNT(*) FROM data WHERE "ID" = 'Identity Unknown';
+-- Q013
+SELECT COUNT(*) FROM data WHERE "ALIVE" = 'Living Characters';
+-- Q014
+SELECT COUNT(*) FROM data WHERE "ALIVE" = 'Deceased Characters';
+-- Q015
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data;
+-- Q016
+SELECT COUNT(*) FROM data WHERE "GSM" IS NOT NULL;
+-- Q017
+SELECT COUNT(*) FROM data WHERE "GSM" = 'Homosexual Characters';
+-- Q018
+SELECT COUNT(*) FROM data WHERE "GSM" = 'Bisexual Characters';
+-- Q019
+SELECT "EYE", COUNT(*) FROM data WHERE "EYE" IS NOT NULL GROUP BY "EYE" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q020
+SELECT "HAIR", COUNT(*) FROM data WHERE "HAIR" IS NOT NULL GROUP BY "HAIR" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q021
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "ALIGN" = 'Good Characters';
+-- Q022
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "ALIGN" = 'Bad Characters';
+-- Q023
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "ALIGN" = 'Good Characters';
+-- Q024
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "ALIGN" = 'Bad Characters';
+-- Q025
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ALIGN" = 'Good Characters';
+-- Q026
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters';
+-- Q027
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "ID" = 'Secret Identity';
+-- Q028
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "ID" = 'Secret Identity';
+-- Q029
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "ID" = 'Public Identity';
+-- Q030
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "ID" = 'Public Identity';
+-- Q031
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" = 'Male Characters';
+-- Q032
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" = 'Female Characters';
+-- Q033
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ALIGN" = 'Good Characters';
+-- Q034
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters';
+-- Q035
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ALIGN" = 'Neutral Characters';
+-- Q036
+SELECT "ALIGN", COUNT(*) FROM data WHERE "ALIVE" = 'Deceased Characters' AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" ORDER BY "ALIGN";
+-- Q037
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ID" = 'Secret Identity';
+-- Q038
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ID" = 'Public Identity';
+-- Q039
+SELECT "ALIGN", COUNT(*) FROM data WHERE "GSM" IS NOT NULL AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" ORDER BY "ALIGN";
+-- Q040
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "GSM" IS NOT NULL;
+-- Q041
+SELECT COUNT(*) FROM data WHERE "YEAR" < 1950;
+-- Q042
+SELECT COUNT(*) FROM data WHERE "YEAR" BETWEEN 1950 AND 1959;
+-- Q043
+SELECT COUNT(*) FROM data WHERE "YEAR" BETWEEN 1960 AND 1969;
+-- Q044
+SELECT COUNT(*) FROM data WHERE "YEAR" BETWEEN 1970 AND 1979;
+-- Q045
+SELECT COUNT(*) FROM data WHERE "YEAR" BETWEEN 1980 AND 1989;
+-- Q046
+SELECT COUNT(*) FROM data WHERE "YEAR" BETWEEN 1990 AND 1999;
+-- Q047
+SELECT COUNT(*) FROM data WHERE "YEAR" >= 2000;
+-- Q048
+SELECT AVG("YEAR") FROM data WHERE "SEX" = 'Male Characters';
+-- Q049
+SELECT AVG("YEAR") FROM data WHERE "SEX" = 'Female Characters';
+-- Q050
+SELECT AVG("YEAR") FROM data WHERE "GSM" IS NOT NULL;
+-- Q051
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "YEAR" < 1960;
+-- Q052
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "YEAR" >= 1990;
+-- Q053
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Male Characters' THEN 1 ELSE 0 END) AS FLOAT) / NULLIF(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END), 0) FROM data WHERE "YEAR" BETWEEN 1940 AND 1949;
+-- Q054
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Male Characters' THEN 1 ELSE 0 END) AS FLOAT) / NULLIF(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END), 0) FROM data WHERE "YEAR" >= 2000;
+-- Q055
+SELECT "ALIGN", AVG("YEAR") FROM data WHERE "ALIGN" IS NOT NULL AND "YEAR" IS NOT NULL GROUP BY "ALIGN" ORDER BY "ALIGN";
+-- Q056
+SELECT MIN("YEAR") FROM data WHERE "GSM" IS NOT NULL;
+-- Q057
+SELECT MIN("YEAR") FROM data WHERE "SEX" = 'Female Characters';
+-- Q058
+SELECT MIN("YEAR") FROM data WHERE "ALIGN" = 'Bad Characters';
+-- Q059
+SELECT COUNT(*) FROM data WHERE "YEAR" IS NULL;
+-- Q060
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" > 100 AND "YEAR" IS NULL;
+-- Q061
+SELECT SUM("APPEARANCES") FROM data;
+-- Q062
+SELECT AVG("APPEARANCES") FROM data;
+-- Q063
+SELECT "APPEARANCES" FROM data ORDER BY "APPEARANCES" LIMIT 1 OFFSET (SELECT COUNT(*)/2 FROM data);
+-- Q064
+SELECT MAX("APPEARANCES") FROM data;
+-- Q065
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 1;
+-- Q066
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" BETWEEN 2 AND 10;
+-- Q067
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" > 100;
+-- Q068
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" > 1000;
+-- Q069
+SELECT SUM("APPEARANCES") / CAST((SELECT SUM("APPEARANCES") FROM data) AS FLOAT) FROM data WHERE "page_id" IN (SELECT "page_id" FROM data ORDER BY "APPEARANCES" DESC LIMIT 100);
+-- Q070
+SELECT AVG("APPEARANCES") FROM data WHERE "APPEARANCES" > 0;
+-- Q071
+SELECT AVG("APPEARANCES") FROM data WHERE "SEX" = 'Male Characters';
+-- Q072
+SELECT AVG("APPEARANCES") FROM data WHERE "SEX" = 'Female Characters';
+-- Q073
+SELECT MAX("APPEARANCES") FROM data WHERE "SEX" = 'Female Characters';
+-- Q074
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "APPEARANCES" > 100;
+-- Q075
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "APPEARANCES" > 100;
+-- Q076
+SELECT AVG("APPEARANCES") FROM data WHERE "ALIGN" = 'Good Characters';
+-- Q077
+SELECT AVG("APPEARANCES") FROM data WHERE "ALIGN" = 'Bad Characters';
+-- Q078
+SELECT MAX("APPEARANCES") FROM data WHERE "ALIGN" = 'Bad Characters';
+-- Q079
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters' AND "APPEARANCES" > 500;
+-- Q080
+SELECT "ALIVE", AVG("APPEARANCES") FROM data WHERE "ALIVE" IS NOT NULL AND "APPEARANCES" IS NOT NULL GROUP BY "ALIVE" ORDER BY "ALIVE";
+-- Q081
+SELECT AVG("APPEARANCES") FROM data WHERE "GSM" IS NOT NULL;
+-- Q082
+SELECT "EYE", COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters' AND "EYE" IS NOT NULL GROUP BY "EYE" ORDER BY COUNT(*) DESC LIMIT 3;
+-- Q083
+SELECT "EYE", COUNT(*) FROM data WHERE "ALIGN" = 'Good Characters' AND "EYE" IS NOT NULL GROUP BY "EYE" ORDER BY COUNT(*) DESC LIMIT 3;
+-- Q084
+SELECT COUNT(*) FROM data WHERE "EYE" = 'Red Eyes';
+-- Q085
+SELECT CAST(SUM(CASE WHEN "ALIGN" = 'Bad Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "EYE" = 'Red Eyes';
+-- Q086
+SELECT "HAIR", COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "HAIR" IS NOT NULL GROUP BY "HAIR" ORDER BY COUNT(*) DESC LIMIT 3;
+-- Q087
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "HAIR" = 'Blond Hair';
+-- Q088
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "HAIR" = 'Blond Hair';
+-- Q089
+SELECT COUNT(*) FROM data WHERE "HAIR" IS NULL;
+-- Q090
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Male Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "HAIR" IS NULL;
+-- Q091
+SELECT CAST(SUM(CASE WHEN "ALIGN" = 'Bad Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "HAIR" IS NULL;
+-- Q092
+SELECT COUNT(*) FROM data WHERE "HAIR" = 'Green Hair';
+-- Q093
+SELECT COUNT(*) FROM data WHERE "EYE" = 'Photocellular Eyes';
+-- Q094
+SELECT "ALIGN", COUNT(*) FROM data WHERE "EYE" = 'Photocellular Eyes' AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" ORDER BY "ALIGN";
+-- Q095
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "HAIR" IS NULL;
+-- Q096
+SELECT "ID", AVG("APPEARANCES") FROM data WHERE "ID" IS NOT NULL AND "APPEARANCES" IS NOT NULL GROUP BY "ID" ORDER BY "ID";
+-- Q097
+SELECT "ID", COUNT(*) FROM data WHERE "ALIGN" = 'Good Characters' AND "ID" IS NOT NULL GROUP BY "ID" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q098
+SELECT "ID", COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters' AND "ID" IS NOT NULL GROUP BY "ID" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q099
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" > 1000 AND "ID" = 'Public Identity';
+-- Q100
+SELECT CAST(SUM(CASE WHEN "ID" = 'Secret Identity' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" = 'Female Characters';
+-- Q101
+SELECT COUNT(*) FROM data WHERE "ALIVE" = 'Deceased Characters' AND "SEX" = 'Female Characters';
+-- Q102
+SELECT COUNT(*) FROM data WHERE "ALIVE" = 'Deceased Characters' AND "SEX" = 'Male Characters';
+-- Q103
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "ALIGN" = 'Good Characters';
+-- Q104
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "ALIGN" = 'Good Characters';
+-- Q105
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "ALIGN" = 'Bad Characters';
+-- Q106
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "ALIGN" = 'Bad Characters';
+-- Q107
+SELECT COUNT(*) FROM data WHERE "ALIVE" = 'Deceased Characters' AND "YEAR" BETWEEN 1990 AND 1999;
+-- Q108
+SELECT COUNT(*) FROM data WHERE "ALIVE" = 'Deceased Characters' AND "YEAR" BETWEEN 1940 AND 1949;
+-- Q109
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "APPEARANCES" < 10;
+-- Q110
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "APPEARANCES" > 500;
+-- Q111
+SELECT COUNT(*) FROM data WHERE "GSM" IS NOT NULL AND "ALIVE" = 'Deceased Characters';
+-- Q112
+SELECT AVG("APPEARANCES") FROM data WHERE "ALIGN" = 'Good Characters' AND "ALIVE" = 'Deceased Characters';
+-- Q113
+SELECT AVG("APPEARANCES") FROM data WHERE "ALIGN" = 'Bad Characters' AND "ALIVE" = 'Deceased Characters';
+-- Q114
+SELECT COUNT(*) / 10.0 FROM data WHERE "SEX" = 'Male Characters' AND "YEAR" BETWEEN 1980 AND 1989;
+-- Q115
+SELECT COUNT(*) / 10.0 FROM data WHERE "SEX" = 'Female Characters' AND "YEAR" BETWEEN 1980 AND 1989;
+-- Q116
+SELECT ("YEAR" / 10) * 10 AS Decade, COUNT(*) FROM data WHERE "SEX" = 'Female Characters' GROUP BY Decade ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q117
+SELECT ("YEAR" / 10) * 10 AS Decade, COUNT(*) FROM data WHERE "SEX" = 'Male Characters' GROUP BY Decade ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q118
+SELECT ("YEAR" / 10) * 10 AS Decade, COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters' GROUP BY Decade ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q119
+SELECT COUNT(*) FROM data WHERE "YEAR" = 1939;
+-- Q120
+SELECT COUNT(*) FROM data WHERE "YEAR" = 2013;
+-- Q121
+SELECT COUNT(*) FROM data WHERE "ID" = 'Secret Identity' AND "YEAR" < 1960;
+-- Q122
+SELECT COUNT(*) FROM data WHERE "ID" = 'Public Identity' AND "YEAR" < 1960;
+-- Q123
+SELECT COUNT(*) FROM data WHERE "ID" = 'Secret Identity' AND "YEAR" >= 2000;
+-- Q124
+SELECT COUNT(*) FROM data WHERE "ID" = 'Public Identity' AND "YEAR" >= 2000;
+-- Q125
+SELECT AVG("YEAR") FROM data WHERE "ID" = 'Secret Identity';
+-- Q126
+SELECT AVG("YEAR") FROM data WHERE "ID" = 'Public Identity';
+-- Q127
+SELECT COUNT(*) FROM data WHERE "EYE" = 'Blue Eyes' AND "YEAR" BETWEEN 1940 AND 1949;
+-- Q128
+SELECT COUNT(*) FROM data WHERE "EYE" = 'Brown Eyes' AND "YEAR" BETWEEN 1940 AND 1949;
+-- Q129
+SELECT COUNT(*) FROM data WHERE "HAIR" = 'Black Hair' AND "YEAR" >= 2000;
+-- Q130
+SELECT MIN("YEAR") FROM data WHERE "GSM" = 'Bisexual Characters';
+-- Q131
+SELECT MIN("YEAR") FROM data WHERE "GSM" = 'Homosexual Characters';
+-- Q132
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "APPEARANCES" > 50 AND "YEAR" < 1970;
+-- Q133
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "APPEARANCES" > 50 AND "YEAR" < 1970;
+-- Q134
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Neutral Characters' AND "APPEARANCES" > 100;
+-- Q135
+SELECT AVG("APPEARANCES") FROM data WHERE "SEX" = 'Female Characters' AND "ALIGN" = 'Bad Characters';
+-- Q136
+SELECT AVG("APPEARANCES") FROM data WHERE "SEX" = 'Male Characters' AND "ALIGN" = 'Bad Characters';
+-- Q137
+SELECT CAST(SUM(CASE WHEN "ID" = 'Public Identity' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "ALIGN" = 'Bad Characters';
+-- Q138
+SELECT CAST(SUM(CASE WHEN "ID" = 'Public Identity' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "ALIGN" = 'Bad Characters';
+-- Q139
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Genderless Characters' AND "APPEARANCES" > 10;
+-- Q140
+SELECT "HAIR", COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "ALIGN" = 'Good Characters' AND "HAIR" IS NOT NULL GROUP BY "HAIR" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q141
+SELECT "HAIR", COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "ALIGN" = 'Bad Characters' AND "HAIR" IS NOT NULL GROUP BY "HAIR" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q142
+SELECT COUNT(*) FROM data WHERE "HAIR" = 'White Hair' AND "ALIGN" = 'Bad Characters';
+-- Q143
+SELECT COUNT(*) FROM data WHERE "HAIR" = 'White Hair' AND "ALIGN" = 'Good Characters';
+-- Q144
+SELECT AVG("APPEARANCES") FROM data WHERE "EYE" = 'Purple Eyes';
+-- Q145
+SELECT COUNT(*) FROM data WHERE "HAIR" IS NULL AND "ALIGN" = 'Good Characters';
+-- Q146
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 0;
+-- Q147
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 2;
+-- Q148
+SELECT AVG("APPEARANCES" * "APPEARANCES") - AVG("APPEARANCES") * AVG("APPEARANCES") FROM data WHERE "APPEARANCES" IS NOT NULL;
+-- Q149
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" BETWEEN 500 AND 1000;
+-- Q150
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" BETWEEN 100 AND 500;
+-- Q151
+SELECT SUM("APPEARANCES") FROM data WHERE "SEX" = 'Female Characters';
+-- Q152
+SELECT SUM("APPEARANCES") FROM data WHERE "SEX" = 'Male Characters';
+-- Q153
+SELECT CAST(SUM(CASE WHEN "ALIGN" = 'Good Characters' THEN "APPEARANCES" ELSE 0 END) AS FLOAT) / SUM("APPEARANCES") FROM data;
+-- Q154
+SELECT CAST(SUM(CASE WHEN "ALIGN" = 'Bad Characters' THEN "APPEARANCES" ELSE 0 END) AS FLOAT) / SUM("APPEARANCES") FROM data;
+-- Q155
+SELECT CAST(SUM(CASE WHEN "ID" = 'Secret Identity' THEN "APPEARANCES" ELSE 0 END) AS FLOAT) / SUM("APPEARANCES") FROM data;
+-- Q156
+SELECT SUM("APPEARANCES") FROM data WHERE "GSM" IS NOT NULL;
+-- Q157
+SELECT SUM("APPEARANCES") FROM data WHERE "ALIVE" = 'Deceased Characters';
+-- Q158
+SELECT SUM("APPEARANCES") FROM data WHERE "YEAR" < 1960;
+-- Q159
+SELECT SUM("APPEARANCES") FROM data WHERE "YEAR" >= 1990;
+-- Q160
+SELECT SUM("APPEARANCES") FROM data WHERE "HAIR" = 'Blond Hair';
+-- Q161
+SELECT SUM("APPEARANCES") FROM data WHERE "HAIR" = 'Red Hair';
+-- Q162
+SELECT SUM("APPEARANCES") FROM data WHERE "EYE" = 'Green Eyes';
+-- Q163
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "APPEARANCES" < 5;
+-- Q164
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "APPEARANCES" < 5;
+-- Q165
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters' AND "APPEARANCES" < 5;
+-- Q166
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Good Characters' AND "APPEARANCES" < 5;
+-- Q167
+SELECT COUNT(*) FROM data WHERE "ID" = 'Secret Identity' AND "APPEARANCES" < 5;
+-- Q168
+SELECT COUNT(*) FROM data WHERE "ID" = 'Public Identity' AND "APPEARANCES" < 5;
+-- Q169
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Living Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" BETWEEN 1980 AND 1989;
+-- Q170
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Living Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" BETWEEN 1940 AND 1949;
+-- Q171
+SELECT "SEX", CAST(SUM(CASE WHEN "ALIVE" = 'Living Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" BETWEEN 1990 AND 1999 AND "SEX" IS NOT NULL GROUP BY "SEX" ORDER BY "SEX";
+-- Q172
+SELECT "EYE", COUNT(*) FROM data WHERE "YEAR" >= 2000 AND "EYE" IS NOT NULL GROUP BY "EYE" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q173
+SELECT "HAIR", COUNT(*) FROM data WHERE "YEAR" >= 2000 AND "HAIR" IS NOT NULL GROUP BY "HAIR" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q174
+SELECT AVG(LENGTH("name")) FROM data WHERE "SEX" = 'Male Characters';
+-- Q175
+SELECT AVG(LENGTH("name")) FROM data WHERE "SEX" = 'Female Characters';
+-- Q176
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND ("name" LIKE '%Girl%' OR "name" LIKE '%Woman%');
+-- Q177
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND ("name" LIKE '%Boy%' OR "name" LIKE '%Man%');
+-- Q178
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters' AND "name" LIKE '%Doctor%';
+-- Q179
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Good Characters' AND "name" LIKE '%Doctor%';
+-- Q180
+SELECT COUNT(*) FROM data WHERE "ID" = 'Identity Unknown';
+-- Q181
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters';
+-- Q182
+SELECT COUNT(*) FROM data WHERE "GSM" IS NOT NULL AND "ALIGN" = 'Bad Characters';
+-- Q183
+SELECT COUNT(*) FROM data WHERE "YEAR" = 1986;
+-- Q184
+SELECT COUNT(*) FROM data WHERE "YEAR" = 2011;
+-- Q185
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" > 1000 AND "YEAR" < 1980;
+-- Q186
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" > 1000 AND "YEAR" >= 2000;
+-- Q187
+SELECT AVG("APPEARANCES") FROM data WHERE "YEAR" BETWEEN 1940 AND 1949;
+-- Q188
+SELECT AVG("APPEARANCES") FROM data WHERE "YEAR" BETWEEN 1990 AND 1999;
+-- Q189
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "EYE" = 'Red Eyes';
+-- Q190
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "EYE" = 'Blue Eyes';
+-- Q191
+SELECT COUNT(*) FROM data WHERE "HAIR" IS NULL AND "SEX" = 'Female Characters';
+-- Q192
+SELECT COUNT(*) FROM data WHERE "HAIR" IS NULL AND "SEX" = 'Male Characters';
+-- Q193
+SELECT "HAIR", COUNT(*) FROM data WHERE "EYE" = 'Blue Eyes' AND "HAIR" IS NOT NULL GROUP BY "HAIR" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q194
+SELECT "HAIR", COUNT(*) FROM data WHERE "EYE" = 'Brown Eyes' AND "HAIR" IS NOT NULL GROUP BY "HAIR" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q195
+SELECT COUNT(*) FROM data WHERE "EYE" = 'White Eyes' AND "HAIR" IS NULL;
+-- Q196
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "HAIR" = 'Pink Hair';
+-- Q197
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "HAIR" = 'Pink Hair';
+-- Q198
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters' AND "HAIR" = 'Green Hair';
+-- Q199
+SELECT COUNT(*) FROM data WHERE "ID" = 'Identity Unknown';
+-- Q200
+SELECT CAST(SUM(CASE WHEN "ALIGN" = 'Neutral Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ID" = 'Secret Identity';
+-- Q201
+SELECT COUNT(*) FROM data WHERE "YEAR" < 1938;
+-- Q202
+SELECT COUNT(*) FROM data WHERE "YEAR" BETWEEN 1950 AND 1955;
+-- Q203
+SELECT "SEX", CAST(SUM(CASE WHEN "ALIGN" = 'Neutral Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" IS NOT NULL GROUP BY "SEX" ORDER BY "SEX";
+-- Q204
+SELECT COUNT(*) FROM data WHERE "EYE" = 'Hazel Eyes';
+-- Q205
+SELECT COUNT(*) FROM data WHERE "EYE" = 'Grey Eyes';
+-- Q206
+SELECT AVG("APPEARANCES") FROM data WHERE "HAIR" = 'Grey Hair';
+-- Q207
+SELECT AVG("APPEARANCES") FROM data WHERE "HAIR" = 'White Hair';
+-- Q208
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END) AS FLOAT) / NULLIF(COUNT(*), 0) FROM data WHERE "HAIR" = 'Grey Hair';
+-- Q209
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Male Characters' THEN 1 ELSE 0 END) AS FLOAT) / NULLIF(COUNT(*), 0) FROM data WHERE "HAIR" = 'Grey Hair';
+-- Q210
+SELECT COUNT(*) FROM data WHERE "ID" = 'Secret Identity' AND "ALIVE" = 'Deceased Characters';
+-- Q211
+SELECT "ID", COUNT(*) FROM data WHERE "GSM" IS NOT NULL AND "ID" IS NOT NULL GROUP BY "ID" ORDER BY "ID";
+-- Q212
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 3;
+-- Q213
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 12;
+-- Q214
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 6;
+-- Q215
+SELECT TRIM(SUBSTR("FIRST APPEARANCE", INSTR("FIRST APPEARANCE", ",") + 1)) AS appearance_month, COUNT(*) FROM data WHERE "FIRST APPEARANCE" IS NOT NULL AND INSTR("FIRST APPEARANCE", ",") > 0 GROUP BY appearance_month ORDER BY COUNT(*) DESC, appearance_month ASC LIMIT 1;
+-- Q216
+SELECT TRIM(SUBSTR("FIRST APPEARANCE", INSTR("FIRST APPEARANCE", ",") + 1)) AS appearance_month, COUNT(*) FROM data WHERE "FIRST APPEARANCE" IS NOT NULL AND INSTR("FIRST APPEARANCE", ",") > 0 GROUP BY appearance_month ORDER BY COUNT(*) ASC, appearance_month ASC LIMIT 1;
+-- Q217
+SELECT AVG(LENGTH("urlslug")) FROM data WHERE "SEX" = 'Female Characters';
+-- Q218
+SELECT COUNT(*) FROM data WHERE "urlslug" LIKE '%Earth-Two%';
+-- Q219
+SELECT COUNT(*) FROM data WHERE "urlslug" LIKE '%New_Earth%';
+-- Q220
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters' AND "urlslug" LIKE '%Earth-Two%';
+-- Q221
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "urlslug" LIKE '%Earth-Two%';
+-- Q222
+SELECT COUNT(*) FROM data WHERE "ALIGN" IS NULL;
+-- Q223
+SELECT COUNT(*) FROM data WHERE "SEX" IS NULL;
+-- Q224
+SELECT COUNT(*) FROM data WHERE "EYE" IS NULL;
+-- Q225
+SELECT COUNT(*) FROM data WHERE "HAIR" IS NULL;
+-- Q226
+SELECT CAST(SUM(CASE WHEN "EYE" IS NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "APPEARANCES" < 5;
+-- Q227
+SELECT CAST(SUM(CASE WHEN "HAIR" IS NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "APPEARANCES" < 5;
+-- Q228
+SELECT CAST(SUM(CASE WHEN "ID" IS NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters';
+-- Q229
+SELECT CAST(SUM(CASE WHEN "EYE" IS NULL OR "HAIR" IS NULL OR "SEX" IS NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "APPEARANCES" > 500;
+-- Q230
+SELECT CAST(SUM(CASE WHEN "EYE" IS NULL OR "HAIR" IS NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "GSM" IS NOT NULL;
+-- Q231
+SELECT period, "ALIGN", alignment_count FROM (SELECT '1960s' AS period, "ALIGN", COUNT(*) AS alignment_count FROM data WHERE "YEAR" BETWEEN 1960 AND 1969 AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" UNION ALL SELECT '1990s' AS period, "ALIGN", COUNT(*) AS alignment_count FROM data WHERE "YEAR" BETWEEN 1990 AND 1999 AND "ALIGN" IS NOT NULL GROUP BY "ALIGN") ORDER BY period, alignment_count DESC, "ALIGN" ASC;
+-- Q232
+SELECT "ALIGN", COUNT(*) FROM data WHERE "YEAR" BETWEEN 1970 AND 1979 AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" ORDER BY "ALIGN";
+-- Q233
+SELECT AVG(LENGTH("name")) FROM data;
+-- Q234
+SELECT CAST(SUM(CASE WHEN "name" LIKE '%(%)%' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data;
+-- Q235
+SELECT CAST(SUM(CASE WHEN "name" LIKE '%(%)%' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ALIGN" = 'Good Characters';
+-- Q236
+SELECT CAST(SUM(CASE WHEN "name" LIKE '%(%)%' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters';
+-- Q237
+SELECT AVG("APPEARANCES") FROM data WHERE "name" LIKE '%(%)%';
+-- Q238
+SELECT AVG("APPEARANCES") FROM data WHERE "name" NOT LIKE '%(%)%';
+-- Q239
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Neutral Characters' AND "ALIVE" = 'Deceased Characters';
+-- Q240
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Neutral Characters' AND "ALIVE" = 'Living Characters';
+-- Q241
+SELECT COUNT(*) FROM data WHERE "HAIR" = 'Orange Hair';
+-- Q242
+SELECT COUNT(*) FROM data WHERE "HAIR" = 'Purple Hair';
+-- Q243
+SELECT COUNT(*) FROM data WHERE "EYE" = 'Yellow Eyes';
+-- Q244
+SELECT COUNT(*) FROM data WHERE "EYE" = 'Gold Eyes';
+-- Q245
+SELECT "SEX", CAST(SUM(CASE WHEN "EYE" = 'Green Eyes' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" IS NOT NULL GROUP BY "SEX" ORDER BY "SEX";
+-- Q246
+SELECT "SEX", CAST(SUM(CASE WHEN "EYE" = 'Brown Eyes' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "SEX" IS NOT NULL GROUP BY "SEX" ORDER BY "SEX";
+-- Q247
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters';
+-- Q248
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters';
+-- Q249
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Transgender Characters';
+-- Q250
+SELECT COUNT(*) FROM data WHERE "GSM" = 'Bisexual Characters';
+-- Q251
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 10;
+-- Q252
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 50;
+-- Q253
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "YEAR" = 1956;
+-- Q254
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "YEAR" = 1956;
+-- Q255
+SELECT CAST(SUM(CASE WHEN "ALIGN" = 'Bad Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ALIVE" = 'Living Characters';
+-- Q256
+SELECT CAST(SUM(CASE WHEN "ALIGN" = 'Good Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "ALIVE" = 'Deceased Characters';
+-- Q257
+SELECT "ALIGN", COUNT(*) FROM data WHERE "ID" = 'Public Identity' AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q258
+SELECT "ALIGN", COUNT(*) FROM data WHERE "ID" = 'Secret Identity' AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q259
+SELECT "ID", COUNT(*) FROM data WHERE "ALIGN" = 'Neutral Characters' AND "ID" IS NOT NULL GROUP BY "ID" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q260
+SELECT AVG("APPEARANCES") FROM data WHERE "YEAR" = 2010;
+-- Q261
+SELECT AVG("APPEARANCES") FROM data WHERE "YEAR" = 1940;
+-- Q262
+SELECT (SELECT "APPEARANCES" FROM data WHERE "SEX" = 'Female Characters' ORDER BY "APPEARANCES" LIMIT 1 OFFSET (SELECT COUNT(*)/2 FROM data WHERE "SEX" = 'Female Characters')) - (SELECT "APPEARANCES" FROM data WHERE "SEX" = 'Male Characters' ORDER BY "APPEARANCES" LIMIT 1 OFFSET (SELECT COUNT(*)/2 FROM data WHERE "SEX" = 'Male Characters'));
+-- Q263
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Good Characters' AND "EYE" = 'Black Eyes';
+-- Q264
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Bad Characters' AND "EYE" = 'Black Eyes';
+-- Q265
+SELECT AVG("APPEARANCES") FROM data WHERE "HAIR" = 'Green Hair';
+-- Q266
+SELECT AVG("APPEARANCES") FROM data WHERE "EYE" = 'Blue Eyes';
+-- Q267
+SELECT COUNT(*) FROM data WHERE "GSM" IS NOT NULL AND "YEAR" < 1970;
+-- Q268
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "ID" = 'Public Identity' AND "ALIGN" = 'Bad Characters';
+-- Q269
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "ID" = 'Public Identity' AND "ALIGN" = 'Bad Characters';
+-- Q270
+SELECT COUNT(*) FROM data WHERE "ID" NOT IN ('Secret Identity', 'Public Identity', 'Identity Unknown');
+-- Q271
+SELECT "SEX", AVG("YEAR") FROM data WHERE "ALIGN" = 'Bad Characters' AND "SEX" IS NOT NULL AND "YEAR" IS NOT NULL GROUP BY "SEX" ORDER BY "SEX";
+-- Q272
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Male Characters' THEN 1 ELSE 0 END) AS FLOAT) / NULLIF(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END), 0) FROM data WHERE "APPEARANCES" > 1000;
+-- Q273
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Male Characters' THEN 1 ELSE 0 END) AS FLOAT) / NULLIF(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END), 0) FROM data WHERE "APPEARANCES" < 10;
+-- Q274
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 1 AND "ALIGN" = 'Bad Characters';
+-- Q275
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 1 AND "ALIGN" = 'Good Characters';
+-- Q276
+SELECT "YEAR", COUNT(*) FROM data WHERE "ALIVE" = 'Deceased Characters' AND "YEAR" IS NOT NULL GROUP BY "YEAR" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q277
+SELECT "YEAR", COUNT(*) FROM data WHERE "ALIVE" = 'Living Characters' AND "YEAR" IS NOT NULL GROUP BY "YEAR" ORDER BY COUNT(*) DESC LIMIT 1;
+-- Q278
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "EYE" = 'Blue Eyes';
+-- Q279
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "EYE" = 'Red Eyes';
+-- Q280
+SELECT CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / NULLIF(COUNT(*), 0) FROM data WHERE "HAIR" = 'White Hair';
+-- Q281
+SELECT COUNT(*) FROM data WHERE "name" LIKE '%Batman%';
+-- Q282
+SELECT COUNT(*) FROM data WHERE "name" LIKE '%Superman%';
+-- Q283
+SELECT "ID", AVG("YEAR") FROM data WHERE "SEX" = 'Female Characters' AND "ID" IS NOT NULL AND "YEAR" IS NOT NULL GROUP BY "ID" ORDER BY "ID";
+-- Q284
+SELECT SUM("APPEARANCES") FROM data WHERE "GSM" = 'Bisexual Characters';
+-- Q285
+SELECT SUM("APPEARANCES") FROM data WHERE "GSM" = 'Homosexual Characters';
+-- Q286
+SELECT "SEX", AVG("APPEARANCES" * "APPEARANCES") - AVG("APPEARANCES") * AVG("APPEARANCES") FROM data WHERE "SEX" IS NOT NULL AND "APPEARANCES" IS NOT NULL GROUP BY "SEX" ORDER BY "SEX";
+-- Q287
+SELECT "YEAR", AVG("APPEARANCES") FROM data WHERE "YEAR" IN (1939, 1989) AND "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL GROUP BY "YEAR" ORDER BY "YEAR";
+-- Q288
+SELECT COUNT(*) FROM data WHERE "HAIR" = 'Strawberry Blond Hair';
+-- Q289
+SELECT COUNT(*) FROM data WHERE "EYE" = 'Auburn Hair';
+-- Q290
+SELECT CAST(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "EYE" = 'Auburn Hair';
+-- Q291
+SELECT COUNT(*) FROM data WHERE "ALIGN" = 'Reformed Criminals';
+-- Q292
+SELECT COUNT(*) FROM data WHERE "FIRST APPEARANCE" LIKE '%Holiday%';
+-- Q293
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 3093;
+-- Q294
+SELECT COUNT(*) FROM data WHERE "APPEARANCES" = 2496;
+-- Q295
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Male Characters' AND "name" LIKE 'John %';
+-- Q296
+SELECT COUNT(*) FROM data WHERE "SEX" = 'Female Characters' AND "name" LIKE 'Mary %';
+-- Q297
+SELECT COUNT(*) FROM data WHERE "ID" = 'Secret Identity' AND "ALIGN" = 'Good Characters' AND "ALIVE" = 'Deceased Characters';
+-- Q298
+SELECT COUNT(*) FROM data WHERE "ID" = 'Public Identity' AND "ALIGN" = 'Bad Characters' AND "ALIVE" = 'Living Characters';
+-- Q299
+SELECT COUNT(*) FROM data WHERE "GSM" IS NOT NULL AND "urlslug" LIKE '%Earth-Two%';
+-- Q300
+SELECT COUNT(*) FROM data;
+-- Q301
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q302
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q303
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Neutral Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q304
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Male Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q305
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Female Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q306
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ID" = 'Secret Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q307
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ID" = 'Public Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q308
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIVE" = 'Living Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q309
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIVE" = 'Deceased Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q310
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "GSM" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q311
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "GSM" = 'Homosexual Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q312
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "GSM" = 'Bisexual Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q313
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "EYE" = 'Blue Eyes' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q314
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "EYE" = 'Brown Eyes' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q315
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "EYE" = 'Red Eyes' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q316
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "HAIR" = 'Black Hair' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q317
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "HAIR" = 'Blond Hair' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q318
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "HAIR" = 'Green Hair' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q319
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q320
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "SEX" = 'Male Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q321
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ALIGN" = 'Good Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q322
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ALIGN" = 'Bad Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q323
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q324
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ID" = 'Secret Identity' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q325
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ID" = 'Public Identity' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q326
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "GSM" IS NOT NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q327
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "GSM" = 'Homosexual Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q328
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "EYE" IS NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q329
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "HAIR" IS NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q330
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ID" IS NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q331
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "EYE" = 'Red Eyes' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q332
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "HAIR" = 'Blond Hair' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q333
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, "ALIGN", COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" IS NOT NULL GROUP BY era_bucket, "ALIGN" ORDER BY MIN("YEAR"), "ALIGN";
+-- Q334
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, "SEX", COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" IS NOT NULL GROUP BY era_bucket, "SEX" ORDER BY MIN("YEAR"), "SEX";
+-- Q335
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, "ID", COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ID" IS NOT NULL GROUP BY era_bucket, "ID" ORDER BY MIN("YEAR"), "ID";
+-- Q336
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, "ALIVE", COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIVE" IS NOT NULL GROUP BY era_bucket, "ALIVE" ORDER BY MIN("YEAR"), "ALIVE";
+-- Q337
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, "GSM", COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "GSM" IS NOT NULL GROUP BY era_bucket, "GSM" ORDER BY MIN("YEAR"), "GSM";
+-- Q338
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q339
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "SEX" = 'Female Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q340
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Male Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q341
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Female Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q342
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ID" = 'Secret Identity' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q343
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ID" = 'Public Identity' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q344
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ALIGN" = 'Good Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ID" = 'Public Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q345
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ALIGN" = 'Bad Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ID" = 'Secret Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q346
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "GSM" IS NOT NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Female Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q347
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "GSM" IS NOT NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Male Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q348
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "EYE" = 'Red Eyes' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q349
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "EYE" = 'Blue Eyes' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q350
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "HAIR" = 'Blond Hair' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Female Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q351
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "HAIR" = 'Black Hair' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q352
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "EYE" IS NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q353
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "HAIR" IS NULL THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q354
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ID" = 'Secret Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q355
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, CAST(SUM(CASE WHEN "ALIVE" = 'Deceased Characters' THEN 1 ELSE 0 END) AS FLOAT) / COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ID" = 'Public Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q356
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q357
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q358
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "SEX" = 'Female Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q359
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "SEX" = 'Male Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q360
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "ID" = 'Public Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q361
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "ID" = 'Secret Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q362
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "ALIVE" = 'Living Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q363
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "ALIVE" = 'Deceased Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q364
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "GSM" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q365
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "EYE" = 'Red Eyes' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q366
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "EYE" = 'Blue Eyes' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q367
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "HAIR" = 'Green Hair' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q368
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "HAIR" = 'Blond Hair' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q369
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "HAIR" IS NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q370
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, AVG("APPEARANCES") FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" IS NOT NULL AND "EYE" IS NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q371
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" > 100 GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q372
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" > 500 GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q373
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" > 100 AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q374
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" > 100 AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q375
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" > 100 AND "SEX" = 'Female Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q376
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" > 100 AND "SEX" = 'Male Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q377
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" > 100 AND "ID" = 'Public Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q378
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" > 100 AND "ID" = 'Secret Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q379
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" > 500 AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q380
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "APPEARANCES" > 500 AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q381
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Female Characters' AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q382
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Female Characters' AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q383
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Male Characters' AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q384
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Male Characters' AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q385
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ID" = 'Public Identity' AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q386
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ID" = 'Secret Identity' AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q387
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Female Characters' AND "ID" = 'Public Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q388
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Male Characters' AND "ID" = 'Secret Identity' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q389
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Good Characters' AND "ALIVE" = 'Deceased Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q390
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "ALIGN" = 'Bad Characters' AND "ALIVE" = 'Deceased Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q391
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Female Characters' AND "ID" = 'Public Identity' AND "ALIGN" = 'Bad Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q392
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Male Characters' AND "ID" = 'Secret Identity' AND "ALIGN" = 'Good Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q393
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Female Characters' AND "ALIGN" = 'Good Characters' AND "ALIVE" = 'Deceased Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q394
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Male Characters' AND "ALIGN" = 'Bad Characters' AND "ALIVE" = 'Living Characters' GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q395
+SELECT CASE WHEN "YEAR" < 1950 THEN 'pre-1950' WHEN "YEAR" BETWEEN 1950 AND 1959 THEN '1950s' WHEN "YEAR" BETWEEN 1960 AND 1969 THEN '1960s' WHEN "YEAR" BETWEEN 1970 AND 1979 THEN '1970s' WHEN "YEAR" BETWEEN 1980 AND 1989 THEN '1980s' WHEN "YEAR" BETWEEN 1990 AND 1999 THEN '1990s' ELSE '2000s+' END AS era_bucket, COUNT(*) FROM data WHERE "YEAR" IS NOT NULL AND "SEX" = 'Female Characters' AND "GSM" IS NOT NULL GROUP BY era_bucket ORDER BY MIN("YEAR");
+-- Q396
+SELECT "ALIGN", COUNT(*) FROM data WHERE "YEAR" < 1950 AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" ORDER BY "ALIGN";
+-- Q397
+SELECT "ALIGN", COUNT(*) FROM data WHERE "YEAR" BETWEEN 1980 AND 1989 AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" ORDER BY "ALIGN";
+-- Q398
+SELECT "ALIGN", COUNT(*) FROM data WHERE "YEAR" >= 2000 AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" ORDER BY "ALIGN";
+-- Q399
+SELECT "SEX", COUNT(*) FROM data WHERE "YEAR" < 1950 AND "SEX" IS NOT NULL GROUP BY "SEX" ORDER BY "SEX";
+-- Q400
+SELECT "SEX", COUNT(*) FROM data WHERE "YEAR" >= 2000 AND "SEX" IS NOT NULL GROUP BY "SEX" ORDER BY "SEX";
+-- Q401
+SELECT "ID", COUNT(*) FROM data WHERE "YEAR" < 1950 AND "ID" IS NOT NULL GROUP BY "ID" ORDER BY "ID";
+-- Q402
+SELECT "ID", COUNT(*) FROM data WHERE "YEAR" >= 2000 AND "ID" IS NOT NULL GROUP BY "ID" ORDER BY "ID";
+-- Q403
+SELECT "ALIVE", COUNT(*) FROM data WHERE "YEAR" < 1950 AND "ALIVE" IS NOT NULL GROUP BY "ALIVE" ORDER BY "ALIVE";
+-- Q404
+SELECT "ALIVE", COUNT(*) FROM data WHERE "YEAR" >= 2000 AND "ALIVE" IS NOT NULL GROUP BY "ALIVE" ORDER BY "ALIVE";
+-- Q405
+SELECT "EYE", COUNT(*) FROM data WHERE "YEAR" >= 2000 AND "ALIGN" = 'Bad Characters' AND "EYE" IS NOT NULL GROUP BY "EYE" ORDER BY COUNT(*) DESC LIMIT 3;
+-- Q406
+SELECT "HAIR", COUNT(*) FROM data WHERE "YEAR" >= 2000 AND "ALIGN" = 'Good Characters' AND "HAIR" IS NOT NULL GROUP BY "HAIR" ORDER BY COUNT(*) DESC LIMIT 3;
+-- Q407
+SELECT "ALIGN", COUNT(*) FROM data WHERE "YEAR" BETWEEN 1990 AND 1999 AND "SEX" = 'Female Characters' AND "ALIGN" IS NOT NULL GROUP BY "ALIGN" ORDER BY "ALIGN";

raw_data/tabular_datasets/artifacts/data_core/tabular/c16/query-C16/profile_benchmark_query_preprocess.pdf

@@ -0,0 +1,3 @@
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+oid sha256:d956ceaa3b150305e80595cdc1436c2edf7e45d85589271428c3367df75f4227
+size 48624

raw_data/tabular_datasets/artifacts/data_core/tabular/c16/query-C16/query_audit_log.csv

@@ -0,0 +1,408 @@
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+Q001,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q001
+Q002,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q002
+Q003,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q003
+Q004,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q004
+Q005,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q005
+Q006,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q006
+Q007,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q007
+Q008,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q008
+Q009,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q009
+Q010,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q010
+Q011,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q011
+Q012,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q012
+Q013,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q013
+Q014,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q014
+Q015,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q015
+Q016,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q016
+Q017,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q017
+Q018,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q018
+Q019,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q019
+Q020,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q020
+Q021,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q021
+Q022,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q022
+Q023,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q023
+Q024,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q024
+Q025,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q025
+Q026,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q026
+Q027,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q027
+Q028,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q028
+Q029,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q029
+Q030,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q030
+Q031,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q031
+Q032,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q032
+Q033,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q033
+Q034,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q034
+Q035,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q035
+Q036,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q036
+Q037,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q037
+Q038,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q038
+Q039,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q039
+Q040,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q040
+Q041,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q041
+Q042,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q042
+Q043,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q043
+Q044,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q044
+Q045,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q045
+Q046,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q046
+Q047,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q047
+Q048,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q048
+Q049,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q049
+Q050,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q050
+Q051,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q051
+Q052,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q052
+Q053,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q053
+Q054,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q054
+Q055,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q055
+Q056,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q056
+Q057,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q057
+Q058,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q058
+Q059,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q059
+Q060,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q060
+Q061,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q061
+Q062,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q062
+Q063,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q063
+Q064,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q064
+Q065,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q065
+Q066,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q066
+Q067,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q067
+Q068,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q068
+Q069,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q069
+Q070,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q070
+Q071,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q071
+Q072,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q072
+Q073,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q073
+Q074,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q074
+Q075,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q075
+Q076,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q076
+Q077,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q077
+Q078,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q078
+Q079,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q079
+Q080,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q080
+Q081,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q081
+Q082,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q082
+Q083,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q083
+Q084,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q084
+Q085,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q085
+Q086,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q086
+Q087,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q087
+Q088,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q088
+Q089,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q089
+Q090,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q090
+Q091,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q091
+Q092,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q092
+Q093,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q093
+Q094,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q094
+Q095,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q095
+Q096,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q096
+Q097,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q097
+Q098,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q098
+Q099,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q099
+Q100,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q100
+Q101,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q101
+Q102,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q102
+Q103,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q103
+Q104,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q104
+Q105,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q105
+Q106,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q106
+Q107,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q107
+Q108,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q108
+Q109,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q109
+Q110,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q110
+Q111,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q111
+Q112,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q112
+Q113,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q113
+Q114,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q114
+Q115,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q115
+Q116,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q116
+Q117,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q117
+Q118,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q118
+Q119,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q119
+Q120,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q120
+Q121,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q121
+Q122,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q122
+Q123,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q123
+Q124,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q124
+Q125,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q125
+Q126,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q126
+Q127,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q127
+Q128,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q128
+Q129,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q129
+Q130,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q130
+Q131,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q131
+Q132,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q132
+Q133,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q133
+Q134,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q134
+Q135,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q135
+Q136,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q136
+Q137,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q137
+Q138,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q138
+Q139,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q139
+Q140,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q140
+Q141,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q141
+Q142,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q142
+Q143,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q143
+Q144,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q144
+Q145,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q145
+Q146,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q146
+Q147,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q147
+Q148,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q148
+Q149,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q149
+Q150,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q150
+Q151,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q151
+Q152,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q152
+Q153,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q153
+Q154,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q154
+Q155,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q155
+Q156,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q156
+Q157,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q157
+Q158,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q158
+Q159,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q159
+Q160,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q160
+Q161,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q161
+Q162,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q162
+Q163,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q163
+Q164,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q164
+Q165,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q165
+Q166,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q166
+Q167,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q167
+Q168,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q168
+Q169,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q169
+Q170,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q170
+Q171,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q171
+Q172,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q172
+Q173,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q173
+Q174,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q174
+Q175,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q175
+Q176,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q176
+Q177,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q177
+Q178,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q178
+Q179,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q179
+Q180,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q180
+Q181,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q181
+Q182,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q182
+Q183,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q183
+Q184,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q184
+Q185,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q185
+Q186,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q186
+Q187,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q187
+Q188,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q188
+Q189,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q189
+Q190,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q190
+Q191,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q191
+Q192,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q192
+Q193,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q193
+Q194,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q194
+Q195,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q195
+Q196,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q196
+Q197,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q197
+Q198,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q198
+Q199,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q199
+Q200,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q200
+Q201,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q201
+Q202,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q202
+Q203,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q203
+Q204,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q204
+Q205,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q205
+Q206,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q206
+Q207,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q207
+Q208,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q208
+Q209,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q209
+Q210,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q210
+Q211,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q211
+Q212,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q212
+Q213,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q213
+Q214,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q214
+Q215,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q215
+Q216,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q216
+Q217,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q217
+Q218,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q218
+Q219,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q219
+Q220,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q220
+Q221,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q221
+Q222,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q222
+Q223,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q223
+Q224,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q224
+Q225,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q225
+Q226,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q226
+Q227,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q227
+Q228,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q228
+Q229,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q229
+Q230,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q230
+Q231,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q231
+Q232,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q232
+Q233,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q233
+Q234,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q234
+Q235,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q235
+Q236,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q236
+Q237,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q237
+Q238,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q238
+Q239,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q239
+Q240,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q240
+Q241,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q241
+Q242,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q242
+Q243,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q243
+Q244,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q244
+Q245,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q245
+Q246,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q246
+Q247,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q247
+Q248,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q248
+Q249,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q249
+Q250,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q250
+Q251,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q251
+Q252,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q252
+Q253,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q253
+Q254,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q254
+Q255,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q255
+Q256,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q256
+Q257,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q257
+Q258,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q258
+Q259,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q259
+Q260,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q260
+Q261,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q261
+Q262,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q262
+Q263,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q263
+Q264,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q264
+Q265,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q265
+Q266,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q266
+Q267,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q267
+Q268,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q268
+Q269,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q269
+Q270,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q270
+Q271,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q271
+Q272,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q272
+Q273,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q273
+Q274,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q274
+Q275,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q275
+Q276,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q276
+Q277,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q277
+Q278,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q278
+Q279,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q279
+Q280,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q280
+Q281,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q281
+Q282,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q282
+Q283,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q283
+Q284,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q284
+Q285,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q285
+Q286,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q286
+Q287,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q287
+Q288,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q288
+Q289,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q289
+Q290,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q290
+Q291,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q291
+Q292,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q292
+Q293,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q293
+Q294,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q294
+Q295,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q295
+Q296,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q296
+Q297,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q297
+Q298,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q298
+Q299,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q299
+Q300,KEEP WITH EDIT,"Corrected category names, removed unsupported categories, or adjusted hair missingness.",Q300
+Q301,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q301
+Q302,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q302
+Q303,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q303
+Q304,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q304
+Q305,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q305
+Q306,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q306
+Q307,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q307
+Q308,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q308
+Q309,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q309
+Q310,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q310
+Q311,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q311
+Q312,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q312
+Q313,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q313
+Q314,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q314
+Q315,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q315
+Q316,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q316
+Q317,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q317
+Q318,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q318
+Q319,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q319
+Q320,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q320
+Q321,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q321
+Q322,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q322
+Q323,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q323
+Q324,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q324
+Q325,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q325
+Q326,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q326
+Q327,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q327
+Q328,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q328
+Q329,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q329
+Q330,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q330
+Q331,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q331
+Q332,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q332
+Q333,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q333
+Q334,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q334
+Q335,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q335
+Q336,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q336
+Q337,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q337
+Q338,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q338
+Q339,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q339
+Q340,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q340
+Q341,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q341
+Q342,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q342
+Q343,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q343
+Q344,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q344
+Q345,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q345
+Q346,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q346
+Q347,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q347
+Q348,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q348
+Q349,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q349
+Q350,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q350
+Q351,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q351
+Q352,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q352
+Q353,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q353
+Q354,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q354
+Q355,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q355
+Q356,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q356
+Q357,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q357
+Q358,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q358
+Q359,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q359
+Q360,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q360
+Q361,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q361
+Q362,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q362
+Q363,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q363
+Q364,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q364
+Q365,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q365
+Q366,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q366
+Q367,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q367
+Q368,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q368
+Q369,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q369
+Q370,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q370
+Q371,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q371
+Q372,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q372
+Q373,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q373
+Q374,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q374
+Q375,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q375
+Q376,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q376
+Q377,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q377
+Q378,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q378
+Q379,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q379
+Q380,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q380
+Q381,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q381
+Q382,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q382
+Q383,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q383
+Q384,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q384
+Q385,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q385
+Q386,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q386
+Q387,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q387
+Q388,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q388
+Q389,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q389
+Q390,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q390
+Q391,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q391
+Q392,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q392
+Q393,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q393
+Q394,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q394
+Q395,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q395
+Q396,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q396
+Q397,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q397
+Q398,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q398
+Q399,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q399
+Q400,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q400
+Q401,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q401
+Q402,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q402
+Q403,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q403
+Q404,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q404
+Q405,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q405
+Q406,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q406
+Q407,ADDED,"Added to strengthen temporal, conditional, and cross-interaction coverage across era buckets.",Q407

raw_data/tabular_datasets/artifacts/data_core/tabular/c16/query-C16/revised_structure_catalog.csv

@@ -0,0 +1,9 @@
+structure_id,title,level,explanation,columns_involved,evidence_status,why_it_matters
+S1,Gender Demographic Imbalance,CORE,"Male characters vastly outnumber female and other gender categories. The dataset shows a roughly 2.4:1 ratio of male to female characters, with genderless and transgender characters being extremely rare.",['SEX'],strong,Synthetic models must preserve gender imbalance to reflect historical comic publishing realities rather than artificially normalizing gender parity.
+S2,Pareto Distribution of Appearances,CORE,"The number of appearances per character follows a heavy‑tailed distribution, with a handful of heroes appearing in thousands of issues while most characters appear only a few times.",['APPEARANCES'],strong,Preserving the long‑tail popularity skew tests whether a synthetic generator can reproduce extreme numerical variance without smoothing away outliers.
+S3,Moral Alignment and Mortality,CORE,"Alignment (good/bad/neutral) interacts with survival: villains have the highest mortality rates, while neutral characters exhibit the lowest. Gender also influences mortality.","['ALIGN', 'ALIVE', 'SEX']",moderate,Captures narrative tropes where antagonists and marginalized groups are more likely to be killed. Synthetic data should reflect these conditional survival patterns.
+S4,Temporal Stratification of Diversity,SUPPORTING,Character introductions are clustered by era. Female and LGBTQ+ characters appear disproportionately after the 1970s. There is a post‑1950s publishing lull followed by rapid expansion after 1980.,"['YEAR', 'SEX', 'GSM']",moderate,Tests whether synthetic data preserves historical introduction timelines rather than distributing diverse characters uniformly across decades.
+S5,Phenotypic Clustering,SUPPORTING,"Physical traits such as eye and hair colour correlate with alignment and gender. Unnatural colours (red eyes, green hair) are more common among villains; blond hair and blue eyes dominate among classic heroes.","['EYE', 'HAIR', 'ALIGN', 'SEX']",moderate,Ensures synthetic data captures multivariate correlations between physical descriptors and narrative roles rather than randomizing traits.
+S6,Dual Identity Dynamics,SUPPORTING,"Secret identities are more common among heroes, whereas villains and modern heroes are increasingly public. Identity status also varies by decade.","['ID', 'ALIGN', 'YEAR', 'SEX']",moderate,Preserves the narrative logic of alter egos and their evolution over time.
+S7,Sparsity of Gender/Sexual Minorities,SUPPORTING,GSM (homosexual/bisexual) tags occur in less than 1% of records and are concentrated in recent decades.,"['GSM', 'YEAR']",strong,Evaluates whether synthetic data can retain extremely rare minority signals without over‑ or under‑representing them.
+SURFACE,Surface Formatting & Rare Strings,SURFACE,"Patterns tied to names, URL slugs, and specific string motifs (e.g., parenthetical alter‑ego formatting or specific appearance counts) are not core semantics but still need limited testing to detect over‑memorization.","['name', 'urlslug', 'page_id', 'FIRST APPEARANCE']",weak,Helps detect whether synthetic data copies exact strings or spurious formatting from the real data.

raw_data/tabular_datasets/artifacts/data_core/tabular/c17/c17-column_validation_report.json

@@ -0,0 +1,49 @@
+{
+  "version": "0.1.0",
+  "dataset_id": "c17",
+  "generated_at": "2026-02-24T18:10:56+00:00",
+  "checks_summary": {
+    "total_columns": 12,
+    "pass_count": 9,
+    "warning_count": 3,
+    "error_count": 0
+  },
+  "column_findings": [
+    {
+      "column_name": "show_id",
+      "inferred_type": "id_like",
+      "code": "HIGH_CARDINALITY_IDLIKE",
+      "severity": "warn",
+      "message": "Column has very high cardinality and may be an identifier.",
+      "evidence": {
+        "unique_ratio": 1.0,
+        "unique_count": 8807
+      },
+      "suggested_action": "exclude_from_query_generation"
+    },
+    {
+      "column_name": "title",
+      "inferred_type": "id_like",
+      "code": "HIGH_CARDINALITY_IDLIKE",
+      "severity": "warn",
+      "message": "Column has very high cardinality and may be an identifier.",
+      "evidence": {
+        "unique_ratio": 0.999886,
+        "unique_count": 8806
+      },
+      "suggested_action": "exclude_from_query_generation"
+    },
+    {
+      "column_name": "description",
+      "inferred_type": "id_like",
+      "code": "HIGH_CARDINALITY_IDLIKE",
+      "severity": "warn",
+      "message": "Column has very high cardinality and may be an identifier.",
+      "evidence": {
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+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c17/c17-dataset_profile.json

@@ -0,0 +1,1286 @@
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raw_data/tabular_datasets/artifacts/data_core/tabular/c17/c17-split_manifest.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c18/c18-column_validation_report.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c18/c18-dataset_profile.json

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+        "SHANTELL'S CHANNEL - https://www.youtube.com/shantellmartin\\nCANDICE - https://www.lovebilly.com\\n\\nfilmed this video in 4k on this -- http://amzn.to/2sTDnRZ\\nwith this lens -- http://amzn.to/2rUJOmD\\nbig drone - http://tinyurl.com/h4ft3oy\\nOTHER GEAR ---  http://amzn.to/2o3GLX5\\nSony CAMERA http://amzn.to/2nOBmnv\\nOLD CAMERA; http://amzn.to/2o2cQBT\\nMAIN LENS; http://amzn.to/2od5gBJ\\nBIG SONY CAMERA; http://amzn.to/2nrdJRO\\nBIG Canon CAMERA; http://tinyurl.com/jn4q4vz\\nBENDY TRIPOD THING; http://tinyurl.com/gw3ylz2\\nYOU NEED THIS FOR THE BENDY TRIPOD; http://tinyurl.com/j8mzzua\\nWIDE LENS; http://tinyurl.com/jkfcm8t\\nMORE EXPENSIVE WIDE LENS; http://tinyurl.com/zrdgtou\\nSMALL CAMERA; http://tinyurl.com/hrrzhor\\nMICROPHONE; http://tinyurl.com/zefm4jy\\nOTHER MICROPHONE; http://tinyurl.com/jxgpj86\\nOLD DRONE (cheaper but still great);http://tinyurl.com/zcfmnmd\\n\\nfollow me; on http://instagram.com/caseyneistat\\non https://www.facebook.com/cneistat\\non https://twitter.com/CaseyNeistat\\n\\namazing intro song by https://soundcloud.com/discoteeth\\n\\nad disclosure.  THIS IS NOT AN AD.  not selling or promoting anything.  but samsung did produce the Shantell Video as a 'GALAXY PROJECT' which is an initiative that enables creators like Shantell and me to make projects we might otherwise not have the opportunity to make.  hope that's clear.  if not ask in the comments and i'll answer any specifics.",
+        "One year after the presidential election, John Oliver discusses what we've learned so far and enlists our catheter cowboy to teach Donald Trump what he hasn't.\\n\\nConnect with Last Week Tonight online...\\n\\nSubscribe to the Last Week Tonight YouTube channel for more almost news as it almost happens: www.youtube.com/user/LastWeekTonight\\n\\nFind Last Week Tonight on Facebook like your mom would: http://Facebook.com/LastWeekTonight\\n\\nFollow us on Twitter for news about jokes and jokes about news: http://Twitter.com/LastWeekTonight\\n\\nVisit our official site for all that other stuff at once: http://www.hbo.com/lastweektonight",
+        "WATCH MY PREVIOUS VIDEO ▶ \\n\\nSUBSCRIBE ► https://www.youtube.com/channel/UC5jkXpfnBhlDjqh0ir5FsIQ?sub_confirmation=1\\n\\nTHANKS FOR WATCHING! LIKE & SUBSCRIBE FOR MORE VIDEOS!\\n-----------------------------------------------------------\\nFIND ME ON: \\nInstagram | http://instagram.com/rudymancuso\\nTwitter | http://twitter.com/rudymancuso\\nFacebook | http://facebook.com/rudymancuso\\n\\nCAST: \\nRudy Mancuso | http://youtube.com/c/rudymancuso\\nLele Pons | http://youtube.com/c/lelepons\\nKing Bach | https://youtube.com/user/BachelorsPadTv\\n\\nVideo Effects: \\nCaleb Natale | https://instagram.com/calebnatale\\n\\nPA:\\nPaulina Gregory\\n\\n\\nShots Studios Channels:\\nAlesso | https://youtube.com/c/alesso\\nAnitta | http://youtube.com/c/anitta\\nAnwar Jibawi | http://youtube.com/c/anwar\\nAwkward Puppets | http://youtube.com/c/awkwardpuppets\\nHannah Stocking | http://youtube.com/c/hannahstocking\\nInanna Sarkis | http://youtube.com/c/inanna\\nLele Pons | http://youtube.com/c/lelepons\\nMaejor | http://youtube.com/c/maejor\\nMike Tyson | http://youtube.com/c/miketyson \\nRudy Mancuso | http://youtube.com/c/rudymancuso\\nShots Studios | http://youtube.com/c/shots\\n\\n#Rudy\\n#RudyMancuso",
+        "Today we find out if Link is a Nickelback amateur or a secret Nickelback devotee. GMM #1218\\nDon't miss an all new Ear Biscuits: https://goo.gl/xeZNQt\\nWatch Part 4: https://youtu.be/MhCdiiB8CQg | Watch Part 2: https://youtu.be/7qiOrNao9fg\\nWatch today's episode from the start: http://bit.ly/GMM1218\\n\\nPick up all of the official GMM merch only at https://mythical.store\\n\\nFollow Rhett & Link: \\nInstagram: https://instagram.com/rhettandlink\\nFacebook: https://facebook.com/rhettandlink\\nTwitter: https://twitter.com/rhettandlink\\nTumblr: https://rhettandlink.tumblr.com\\nSnapchat: @realrhettlink\\nWebsite: https://mythical.co/\\n\\nCheck Out Our Other Mythical Channels:\\nGood Mythical MORE: https://youtube.com/goodmythicalmore\\nRhett & Link: https://youtube.com/rhettandlink\\nThis Is Mythical: https://youtube.com/thisismythical\\nEar Biscuits: https://applepodcasts.com/earbiscuits\\n\\nWant to send us something? https://mythical.co/contact\\nHave you made a Wheel of Mythicality intro video? Submit it here: https://bit.ly/GMMWheelIntro\\n\\nIntro Animation by Digital Twigs: https://www.digitaltwigs.com\\nIntro & Outro Music by Jeff Zeigler & Sarah Schimeneck https://www.jeffzeigler.com\\nWheel of Mythicality theme: https://www.royaltyfreemusiclibrary.com/\\nAll Supplemental Music fromOpus 1 Music: https://opus1.sourceaudio.com/\\nWe use ‘The Mouse’ by Blue Microphones https://www.bluemic.com/mouse/",
+        "I know it's been a while since we did this show, but we're back with what might be the best episode yet!\\nLeave your dares in the comment section! \\n\\nOrder my book how to write good \\nhttp://higatv.com/ryan-higas-how-to-write-good-pre-order-links/\\n\\nJust Launched New Official Store\\nhttps://www.gianthugs.com/collections/ryan\\n\\nHigaTV Channel\\nhttp://www.youtube.com/higatv\\n\\nTwitter\\nhttp://www.twitter.com/therealryanhiga\\n\\nFacebook\\nhttp://www.facebook.com/higatv\\n\\nWebsite\\nhttp://www.higatv.com\\n\\nInstagram\\nhttp://www.instagram.com/notryanhiga\\n\\nSend us mail or whatever you want here!\\nPO Box 232355\\nLas Vegas, NV 89105"
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+          "value": "► Listen LIVE: http://power1051fm.com/\\n► Facebook: https://www.facebook.com/Power1051NY/\\n► Twitter: https://twitter.com/power1051/\\n► Instagram: https://www.instagram.com/power1051/",
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+          "value": "Jukin Media Verified (Original) * For licensing / permission to use: Contact - licensing(at)jukinmediadotcom\\nSubmit your videos here: http://bit.ly/2iFnUya",
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+          "value": "My Twitter: https://twitter.com/prozdkp\\nMy Let's Play channel, Press Buttons n Talk:\\nhttps://www.youtube.com/channel/UCSHsNH4FZXFeSQMJ56AdrBA\\nMy Merch/T-Shirt Store: http://www.theyetee.com/prozd\\nMy Tumblr: http://prozdvoices.tumblr.com/\\nMy Twitch: https://www.twitch.tv/prozd\\nMy Instagram: https://instagram.com/prozd\\nMy Patreon: http://www.patreon.com/prozd\\nUse the link below and the coupon code PROZDSNACKS to get $3 off your first Japan Crate Premium or Original:\\nhttp://japancrate.com/?tap_a=13976-19476b&tap_s=76467-12d24b\\nUse the link below and the coupon code PROZDRAMEN to get $3 off your first Umai Crate:\\nhttp://japancrate.com/umai?tap_a=18655-b8af8b&tap_s=76467-12d24b\\nUse the link below to get a free 14-day trial of Funimation anime streaming:\\nhttps://www.funimation.com/prozd\\nUse the link below and coupon code PROZD10 to get $10 off any Classic Bokksu subscription:\\nhttp://www.bokksu.com?rfsn=498614.9d328&utm_source=refersion&utm_medium=influencers&utm_campaign=498614.9d328\\nUse the link below and the coupon code ProZDCrate to get 10% off any Loot Crate:\\nhttps://lootcrate.com/ProZD",
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+          "value": "thank you for watching this video please like and subscribe~!\\n \\n*  (Big Marvel Youtube) : https://www.youtube.com/channel/UCgI8VzlDGsHCp0-9Een1eKw\\n*  (Big Marvel Instagram) :https://www.instagram.com/lilmarvel0/\\n*  (Big Marvel facebook) : https://www.facebook.com/Big-Marvel-114466695895697/\\n\\ncontact,business → steamercyep@gmail.com",
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+          "value": "Voicenotes Available Now: https://Atlantic.lnk.to/VoicenotesIDExclusive Voicenotes Merchandise Bundles Available Here: http://smarturl.it/VoiceNotesD2CYTFollow Charlie:http://www.charlieputh.com http://www.twitter.com/charlieputh http://www.facebook.com/charlieputh http://www.instagram.com/charlieputhhttps://soundcloud.com/charlieputh",
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+          "value": "I will never be able to say Thank You enough... Thank you for being my family.➡ CLICK HERE -  http://bit.ly/GiveAGatorItsWings➡ SUBSCRIBE TO MY 2ND CHANNEL!: http://bit.ly/2hsXpQd➡ ADD ME ON SNAPCHAT: BM885_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _♡ GRAV3YARD CURL COLLECTION: http://bit.ly/Grav3yardCurl♡ Entire Set - http://bit.ly/Grav3yardCurlSet♡ Gator Hairdryer: http://bit.ly/GatorHairdryer♡ Gator Flat Iron: http://bit.ly/GatorFlatIron♡ Gator Clipless Curler: http://bit.ly/GatorCliplessCurler♡ INSTAGRAM: http://bit.ly/1wdGBwS  ♡ TWITTER: http://twitter.com/grav3yardgirl♡ FACEBOOK: http://bit.ly/2ktztLnyou might enjoy these other videos?EDIBLE JELLO GLASSES: http://bit.ly/EdibleJelloGlasses$500 Designer Mystery Box: http://bit.ly/LuxuryMysteryBox$900 Ebay 90s Mystery Box: http://bit.ly/90sMysteryBoxLucky Bag 2018: http://bit.ly/LuckyBag2018Grav3yardgirlMaking a MINIATURE Happy Meal: http://bit.ly/MiniatureHappyMealWUBBLE BUBBLE BALL: http://bit.ly/WubbleBubbleGrav3yardgirlSNO CONE SLIME DIY: http://bit.ly/SnoConeSlimeFishbowl Slime DIY: http://bit.ly/FishbowlSlime♡ EVERYTIME YOU SUBSCRIBE, A GATOR GETS HIS WINGS! ♡FTC- I am not being paid by any of the mentioned companies or designers to make this video. The views in this video are strictly my own and I am not affiliated with any of these companies.",
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+          "value": "YoungBoy Never Broke Again goes Sneaker Shopping with Complex's Joe La Puma at Stadium Goods in New York City and talks about wearing Air Jordans growing up, never wearing the same outfit twice, and wanting to start his own sneaker brand.NOTE: This episode was shot on February, 22, 2018.Subscribe to Complex on YouTube: https://goo.gl/43ac5wCheck out more of Complex here:http://www.complex.comhttps://twitter.com/Complexhttps://www.facebook.com/complexhttp://instagram.com/complexhttps://plus.google.com/+complex/COMPLEX is a community of creators and curators, armed with the Internet, committed to surfacing and sharing the voices and conversations that define our new America. Our videos exemplify convergence culture, exploring topics that include music, sneakers, style, sports and pop culture through original shows and Complex News segments. Featuring your favorite celebrities, authoritative commentary, and a unique voice, our videos make culture pop.",
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+          "value": "BEST MOM EVER! WANT TO SEE US IN NYC & NJ?!BUY TIX HERE! ➨ http://bit.ly/DobreTour WE POST TUESDAY,THURSDAY, & SUNDAY!TURN OUR POST NOTIFICATIONS ON FOR A SHOUTOUT!SUBSCRIBE TO THE DOBRE VLOG CHANNEL! https://www.youtube.com/channel/UCC3OGYxHwV8pB5yLobw9KdASUBSCRIBE TO THE LUCAS AND MARCUS CHANNEL!https://www.youtube.com/user/TwiNboTzVids Lucas's Social Media  Instagram: https://www.instagram.com/lucas_dobre/Twitter: https://twitter.com/dobrelucasFacebook: https://www.facebook.com/dobrelucas/Snapchat: lucas_dobreMusical.ly: DobreTwins Marcus's Social Media  Instagram: https://www.instagram.com/marcusdobreTwitter: https://twitter.com/dobremarcusFacebook: https://www.facebook.com/marcusdobre/Snapchat: marcusdobre1Musical.ly: DobretwinsFollow the Dobre Brothers: Instagram: https://www.instagram.com/dobrebrothers/BIZ - dobrebrothersmgmt@gmail.com THANKS FOR WATCHING!WE MADE OUR MOM CRY...HER DREAM CAME TRUE!https://www.youtube.com/user/TwiNboTzVids",
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+          "value": "Fortnite, PUBG, Far Cry 5? Which game would you play on this gaming PC setup?Visit SteelSeries.com and use discount code “Unbox15”(letters in discount code ARE case sensitive) to get an Unbox 24hr exclusive of 15% off Arctis Pro + GameDAC: http://steelseries.com/arctisproThe Chair - https://amzn.to/2Km7gC6The Monitor - https://amzn.to/2jWuQdkThe Gaming PC - https://www.xidax.com/(More info on gaming PC specs etc. in this video - https://youtu.be/Pvakr7s7qc0)Is this the ultimate gaming PC setup?_________________________________________WATCH SOME MORE VIDEOS...Get The OnePlus 6 EARLY!https://youtu.be/yCxwmH3psxg?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34Should You Buy The Samsung Galaxy S9?https://youtu.be/SIR67et5tcs?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The True All-Screen Smartphone is Here...https://youtu.be/sYvH7Y16iUM?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The TRUTH About Smartphones in 2018https://youtu.be/1kllbOrLfoo?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34World's Biggest Fortnite Gaming Setup!https://youtu.be/8x7UtZKwfHA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Weirdest Phones In The World...https://youtu.be/o6T9mUq9Vgo?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Coolest Smartphone You'll Never Touch...https://youtu.be/5M3mKgLTn3Q?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34I'm Switching To The Samsung Galaxy S9https://youtu.be/8g-VjqONplA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Most Expensive iPhone I've Ever Seen...https://youtu.be/JUi3psxB3QA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Limited Smartphone You Never Knew Existed...https://youtu.be/SMLgNZYW3XE?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Almost All-Screen Smartphone...https://youtu.be/jAq9RV3k9Qc?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34TOP SECRET SMARTPHONE DELIVERYhttps://youtu.be/BNnFgT_CAEE?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The iPhone X Home Button... Is This Real Life?https://youtu.be/Vz_EE5Ta9ZA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34Fortnite on an INSANE $20,000 Gaming PChttps://youtu.be/Pvakr7s7qc0?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The $200 Smartphone You NEED To Know About...https://youtu.be/uxLOfjaWRvw?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34This New Smartphone Is NOT What It Looks Like...https://youtu.be/r8vFZ0HAaz0?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34Is The Samsung Galaxy S9 Worth The Hype?https://youtu.be/g30Rhk82rmg?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v343 Unique Gadgets You Wouldn't Expect To Existhttps://youtu.be/z5ydE6qQqZU?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Worst Gadget EVER On Unbox Therapy...https://youtu.be/ZOFoPTAqZlQ?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Worst Text You Could Ever Receive...https://youtu.be/HUE9mCN7sek?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Essential Phone Is Back!https://youtu.be/ZxOmJfCEgoc?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34What If You Could Get AirPods For Only $40? https://youtu.be/6N5V_7_n1uI?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34I Bought The Cheapest Smartphone on Amazon...https://youtu.be/YkGAg9WmYBs?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v343 Unique Gadgets You Can Buy Right Nowhttps://youtu.be/Yzsf9SECcEo?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34DON'T Buy The Google Pixel Budshttps://youtu.be/lGkrhR2mfl8?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34How To Turn Any Android Phone Into An iPhone...https://youtu.be/14pYNywLqDs?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34Is The LG V30 The Most Underrated Smartphone?https://youtu.be/YsWIHhKmmvY?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Best Wireless Headphones You Can Buy Right Nowhttps://youtu.be/SXyObZahu-o?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34Unboxing The Samsung Galaxy S9 Clonehttps://youtu.be/1xgbmrsgrq4?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34It Has Double The Battery of iPhone Xhttps://youtu.be/8Np9Kk82-zA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Mind Blowing 33 Million Pixel Display...https://youtu.be/OKAU1Xx59ho?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v345 Cool Gadgets Under $10https://youtu.be/hNrSNrEVpkQ?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34Which Smartphone Do They ACTUALLY Use? --- MKBHD, Austin Evans, Linus + Morehttps://youtu.be/Hi2tjMLVpdQ?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34Unboxing The World's Smallest Phonehttps://youtu.be/SSzyGCjH88o?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34The Most RIDICULOUS MacBook Prohttps://youtu.be/46qTg3swoEo?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34A Message from Apple...https://youtu.be/UiaqBdzCcBA?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v344 Unique iPhone Accessorieshttps://youtu.be/uZgnXJz_9DM?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34DON'T Buy The iPhone Xhttps://youtu.be/2fGXDFiFBhg?list=PL7u4lWXQ3wfI_7PgX0C-VTiwLeu0S4v34FOLLOW ME IN THESE PLACES FOR UPDATESTwitter - http://twitter.com/unboxtherapyFacebook - http://facebook.com/lewis.hilsentegerInstagram - http://instagram.com/unboxtherapyGoogle Plus - http://bit.ly/1auEeak",
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+          "value": "Millie is invited to help out at a Sugar Pine 7 event and she takes it VERY SERIOUSLY. Join FIRST to watch episodes early: http://bit.ly/2uRn6OxAudio from Off Topic Podcast #100http://achievementhunter.roosterteeth.com/episode/off-topic-the-achievement-hunter-podcast-2017-100-geoh5h» Get your RTAA merch: http://bit.ly/2tRKzOf» Subscribe: http://bit.ly/13y3GumAnimated by: Johnathan FloydDirected by: Andrew LhotskyAbout Rooster Teeth Animated Adventures:The animated shenanigans of the Rooster Teeth staff. Audio taken from various Rooster Teeth podcasts.More Rooster Teeth:» Achievement Hunter: http://bit.ly/AHYTChannel » Let's Play: http://bit.ly/1BuRgl1 » Red vs. Blue: http://bit.ly/RvBChannelhttps://www.youtube.com/user/RoosterTeeth",
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+        {
+          "value": "The first round’s over, are you ready for the second? Cobra Kai Season 2 coming 2019.",
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+          "value": "Spotify: http://radi.al/NewLightSpotifyApple: http://radi.al/NewLightAppleAmazon: http://radi.al/NewLightAMZJohn Mayer“New Light”I’m the boy in your other phoneLighting up inside your drawer at home all alonePushin 40 in the friend zoneWe talk and then you walk away every dayOh you don’t think twice bout meAnd maybe you’re right to doubt me butBut if you give me just one nightYou’re gonna see me in a new lightYeah if you give me just one nightTo meet you underneath the moonlightOh I want a take twoI wanna break throughI wanna know the real thing about youSo I can see you in a new lightTake a ride up to MalibuI just wanna sit and look at you, look at youWhat would it matter if your friends knewWho cares what other people say anywayOh we can go far from hereAnd make a new world together babe‘Cause if you give me just one nightYou’re gonna see me in a new lightYeah, if you give me just one nightTo meet you underneath the moonlightOh I want a take twoI wanna break throughI wanna know the real thing about youSo I can see you in a new lightYeah if you give me just one nightYou’re gonna see me in a new lightYeah if you give me just one nightTo meet you underneath the moonlightWhat do I do with all this, what do I do with all thisLove that's runnin through my veins for youWhat do I do with all this, what do I do with all thisLove that's runnin through my veins for youWhat do I do with all this, what do I do with all thisLove that's runnin through my veins for youWhat do I do with all this, what do I do with all this",
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+          "value": "Get 'Back To You,' out now: http://smarturl.it/13ReasonsSoundtrackPreorder 13 Reasons Why Bundles: http://smarturl.it/13RYsoundtrack Subscribe to Selena's 13 Reasons Why Playlist: http://smarturl.it/13ReasonsPlaylistGet exclusive Selena Gomez merch, available at: http://smarturl.it/SelenaStoreSign-up to be the first to hear news from Selena: http://smarturl.it/SelenaGomez.NewsBest of Selena Gomez https://goo.gl/mgJg2sSelena Gomez Audio https://goo.gl/dmJYbdSubscribe for more https://goo.gl/2bTuprIf you or someone you know needs help finding crisis resources, visit: www.13ReasonsWhy.infoIf you are immediately concerned about yourself or a friend, reach out for help. TEXT: 741741www.crisistextline.orgFree, 24/7, confidential. National Suicide Prevention LifelineDIAL: 1-800-273-8255www.suicidepreventionlifeline.orgwww.thetrevorproject.orgProviding crisis and suicide intervention and prevention services for LGBTQ youth.",
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+          "value": "Play Fortnite for FREE here: https://pixly.go2cloud.org/SHcpThanks to Epic Games for sponsoring this video  Order my book how to write good http://higatv.com/ryan-higas-how-to-write-good-pre-order-links/Just Launched New Official Storehttps://www.gianthugs.com/collections/ryanHigaTV Channelhttp://www.youtube.com/higatvTwitterhttp://www.twitter.com/therealryanhigaFacebookhttp://www.facebook.com/higatvWebsitehttp://www.higatv.comInstagramhttp://www.instagram.com/notryanhigaSend us mail or whatever you want here!PO Box 232355Las Vegas, NV 89105",
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+          "value": "Rita Ora 'Girls' ft. Cardi B, Bebe Rexha & Charli XCX is out now: http://atlanti.cr/girls Video by Everyone's Favourite: http://everyonesfavourite.net ----► Follow Rita Orahttp://www.ritaora.comhttp://youtube.com/ritaorahttp://twitter.com/ritaorahttp://facebook.com/ritaorahttp://instagram.com/ritaorahttp://www.ritaora.com/",
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+          "value": "Hello guys, it’s me Hulk Tutorials, hello! HAHA! Today I’m challenging myself and doing a full makeup look using only the color GREEN! …..and I HATE green!!! Let’s see if I can make Kermit the Frog proud!Make sure you subscribe to my channel and hit the notification bell, so you don’t miss any of my new videos → http://bit.ly/SubscribeNikkieTutorials▷ Have you seen my previous video? PATRICKSTARRR TRANSFORMING ME INTO PATRICKSTARRR → https://youtu.be/duXW_wPTw0o••••••••••••••••••••••••••••••••••••••••­­­•••••••••••💎 DISCOUNT CODES 💎MORPHE BRUSHES ⋆ http://morphebrushes.comDiscount Code: NikkieThis discount code does NOT expire. Can be used online + in their Burbank, California store.••••••••••••••••••••••••••••••••••••••••­­­•••••••••••▷ PRODUCTS USED IN THIS VIDEO:BASE ⋆QMS Moiturizing Balance ‣ http://bit.ly/2wsd6iU ( use code NIKKIE to save $$ )Tatcha The Silk Canvas Primer ‣ http://bit.ly/2Fh9eAvNARS Natural Radiant Foundation “Mont Blanc” ‣ http://bit.ly/2KdpbLWCoverFX Power Play Foundation #N10 ‣ http://bit.ly/2Kckh1ANARS Soft Matte Complete Concealer ‣ http://bit.ly/2gh5SmXMaybelline Fit Me Loose Powder #05 ‣ http://bit.ly/2vc5W0OCHEEKS ⋆MAC Next to Nothing Pressed Powder “Medium Dark” ‣ http://bit.ly/2CFutMmRodial Instaglam Deluxe Bronzing Powder #3 ‣ http://bit.ly/2l4rdjHNARS Wanted Cheek Palette ‣ http://bit.ly/2KeGtrkMakeup Addiction Cosmetics “Holy Glow Vol 2” ‣ http://bit.ly/2KSN8btEYES ⋆P. Louise Base ‣ http://bit.ly/2r3Gt5wInglot Matte Eyeshadows ‣ http://bit.ly/2oYRoP0P. Louise Pigment “Icy” ‣ http://bit.ly/2I8xJq0Makeup Addiction Cosmetics “Holy Glow Vol 2” ‣ http://bit.ly/2KSN8btMaybelline Total Temptation Waterproof Mascara ‣ http://bit.ly/2r2hKOLBenefit Cosmetics BADgal BANG! Mascara (lower lashes) ‣ http://bit.ly/2Jrg3lCLilly Lashes “Lush” Lashes ‣ http://bit.ly/2otEUx5 ( use code NIKKIE to save $$ )LIPS ⋆Coloured Raine Matte Lip Paint “Ivy” ‣ http://bit.ly/2ruqK0f ( use code NIKKIE to save $$ )••••••••••••••••••••••••••••••••••••••••­­­•••••••••••▷ LET’S BECOME FRIENDS!!BLOG ‣ http://www.nikkietutorials.comTWITTER ‣ http://www.twitter.com/NikkietutorialsINSTAGRAM ‣ https://instagram.com/nikkietutorials/SNAPCHAT ‣ https://www.snapchat.com/add/nikkietutorialsFACEBOOK ‣ http://www.facebook.com/NikkieTutorials▷ OTHER VIDEOS YOU CAN CHECK OUT…….👑 THE POWER OF MAKEUP ► http://bit.ly/2scYIrE💑 BOYFRIEND DOES MY MAKEUP ► http://bit.ly/2r2K0yM🎀 FULL FACE USING ONLY MY MOM'S MAKEUP CHALLENGE ► http://bit.ly/2BX76Nw🍑 POWER OF MAKEUP: KIM KARDASHIAN WEST ► http://bit.ly/2iz1RhT••••••••••••••••••••••••••••••••••••••••­­­•••••••••••♫ Music By ♫Music by Chillhop: Chillhop Essentials - Fall 2017: https://youtu.be/FsKom00Xk-UListen on Spotify: http://bit.ly/ChillhopSpotifyDisclaimer ‣ This video is NOT sponsored by any of the brands mentioned throughout this video. All thoughts mentioned are my own. Some affiliate links are used. They do not cost you anything, but I make a small percentage from the sale. Honesty is key on my channel, thank you for supporting me!ʕ•ᴥ•ʔ I love you.",
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+          "value": "Stream, Download and Listen to Pray feat. Logic now: http://samsmith.world/LogicPrayID They never knew my struggleRose above the rubbleRather live inside their bubble Than go through the troubleOf having their double double vision correctedThey just neglect it and I’ve been thinking latelyWill the Devil take me?Or will God protect me?I know I ain’t perfectBut you should respect meThey don’t want me happyThey don’t wanna let me live I’m young and I’m foolishI make bad decisionsI block out the newsTurn my back on religionDon’t have no degreeI’m somewhat naïveI have made it this far on my own But lately that shit ain’t been getting me higherI lift up my head and the world is on fireThere’s dread in my heartAnd fear in my bonesI just don’t know what to say Maybe I’ll prayPrayMaybe I’ll prayI have never believed in you, noBut I’m gonna pray I am meI’m a manI’m a sinnerBut understandAren’t we all?So when it comes to passing judgementsI don’t think that you’re the one to make the callHeaven want to cast me out for being me I know theres others like me there to break the fall I know you hater Motherfuckers just can’t relate at  If I’m the first one to the line that’s fineI’ll take it allBut Logic he gon’ let ‘em knowI ain’t perfectBut I’m worth itI’m aliveI deserve itI’ve been praying I ain’t playingI don’t think you hear the words that I’m saying I don’t think you know the weight on my shouldersThat gets heavier as I get olderCalling anybodyCalling anybodyCan you hear me?I pray that you hear meI pray that you hear me Maybe I’ll prayPrayMaybe I’ll prayI’ve never believed in you, noBut I’m gonna Won’t you call me?Can we have a one on one please?Let’s talk about freedomEveryone prays in the endEveryone prays in the endOh, won’t you call me?Can we have a one on one please?Let’s talk about freedomEveryone prays in the endEveryone prays in the end Oh, I’m gonnaPrayI’m gonnaPrayI’m gonnaPrayPray for a glimmer of hopeMaybe I’ll prayPrayMaybe I’ll prayI’ve never believed in you, noBut I’m gonna pray Follow Sam Smith:http://samsmithworld.com http://facebook.com/samsmithworld http://instagram.com/samsmithworld http://twitter.com/samsmithworld Director : Joe ConnorProducer : Colin OfflandItaly Production : Dom MergiaPM : Georgie WinterDOP : Patrick MellorEdit : Ian McLaughlin @ The OutpostGrade : George K @ MPCAgent : Alexa Haywood",
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+          "value": "With a busy schedule, Jocko Willink finds time to get everything done by waking up before everyone else does. Willink, former Navy SEAL and author of Way of the Warrior Kid explains the one habit from service that he can't shake.For the full interview, search for Success! How I Did It on Apple Podcasts or your favorite app. https://itunes.apple.com/us/podcast/success-how-i-did-it/id1205997729?mt=2 Business Insider tells you all you need to know about business, finance, tech, science, retail, and more.Subscribe to our channel and visit us at: http://www.businessinsider.com/BI on Facebook: https://www.facebook.com/businessinsider/BI on Instagram: https://www.instagram.com/businessinsider/BI on Twitter: https://twitter.com/businessinsider--------------------------------------------------Following is a transcript of the video:Richard Feloni: Are there some things from your service that you can't shake? So for example, you still wake up at 4:30 in the morning, to go workout, what was it about your time in the Seals, that you wanted to keep these habits up?Jocko Willink: They're good habits, why would you not wake up at 4:30?Richard Feloni: Well what does this bring to you?Jocko Willink: Waking up early? You just get a jump on the day. The reason I wake up at 4:30 in the morning is because no one else is awake yet, so that gives me the opportunity to do things that I need to get done, kinda selfishly for myself, and the big one in that category is working out. And it doesn't feel good at 4:30 when you get up, but by the time 7 o'clock rolls around, and you've already worked out, and you've already got some work done, and you've got some time to say goodbye to your kids before they go to school? It's infinitely better than sleeping in until 6:45, and you get out of bed, and now you've missed your kids going to school, or whatever. You're not prepared for the day, it's awful.Feloni: So if someone, maybe they don't have time to work out or they just need something that could be like a quick fix, is there something that you recommend?Willink: Oh yeah, workouts don't have to take a long time. Workouts can be very quick. Matter of fact, go do two minutes of burpees, as many burpees as you can, in two minutes, or four minutes, or six minutes, go and sprint, go and do anything very intensely, for a short period of time and you'll get great benefit out of it.Feloni: Something I'm sure you hear a lot is 4:30, like this either just can't fit into my schedule, or if I'm gonna be realistic, I'm probably not gonna wake up at 4:30, what do you tell people who say that?Willink: Yeah, and there's people that work night shifts, and there's people that it's unhealthy for them, they can't fall as-- it's like no, be healthy, get enough sleep, but, first of all, wake up at the same time every day and, if you pick that time and you start waking up at the same time every day, that's very good for you. It doesn't have to be 4:30, it could be 6:30, it could be 7, I don't know what your personal schedule is, but find out a time, pick it, set it, stick to it, and maintain that schedule, and that's gonna end up better for you.I recommend it's earlier. I recommend that you go to bed earlier, 'cause what are you doing at night, most of the time? Most of the time at night, you're not working on anything super productive, you're just winding down and watching stupid YouTube videos, or surfing the internet, reading clickbait stories, right? Don't do that, instead, go to sleep, and then wake up early.Feloni: Could you explain that notion of discipline equals freedom?Willink: If you want more freedom in your life, you have to have more discipline. If you don't have any discipline, you'll end up with absolutely no freedom, you'll end up being a slave to other people that boss you around. There's all kind of problems that can occur, if you don't have discipline in your life. And the more discipline you have, the more freedom you're gonna have.Feloni: So just the discipline of the Seals, will never-- it's impossible to leave?Willink: No, it's possible to leave, there's retired seals all over the place that are undisciplined. They've moved on, and they don't care about that anymore. It's fine, I don't judge other people on what they're doin', like they're probably stoked to sleep in and hang out with their kids, and eat breakfast in bed, that's fine. I don't have anything against that. But for me? I wanna get up and go.",
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+          "value": "A war has been raging for billions of years, killing trillions every single day, while we don’t even notice. This war involves the single deadliest being on our planet: The Bacteriophage.Created with scientific advice and editing by James Gurney.  Kurzgesagt Newsletter: http://eepurl.com/cRUQxzSupport us on Patreon so we can make more videos (and get cool stuff in return): https://www.patreon.com/Kurzgesagt?ty=hKurzgesagt merch:  https://bit.ly/2GeuQxZFacebook: http://bit.ly/1NB6U5OTwitter: http://bit.ly/2DDeT83Instagram: http://bit.ly/2DEN7r3Discord: https://discord.gg/FsstncsThe music of the video here: Soundcloud: https://bit.ly/2IcLhRpBandcamp: https://bit.ly/2IiETnIFacebook: https://bit.ly/2GIoZlHTHANKS A LOT TO OUR LOVELY PATRONS FOR SUPPORTING US:Luca Perfetti, Ramkumar Ranjithkumar, Dan Albert, Bryce, Gregor Gatterer, Benjamin Schrank, Zsuzsanna Goodman, Dale Wahl, Richard, Bruno Mikuö, Josh Villars, Richelle Swinton, WeedyGreen, Turrabo, Nirup Nagabandi, Kevin Kohler, Travis Decaminada, Levi Mauk, Jack McCluskey, Jonathan Lucas, Clemens P¸hringer, Chloe Arvidson, Jason Brady, Germain Wessely, ROBERT MELTON, Rodrigo Acevedo, Kathleen Kintz, Wrekuiem, Michael Hoffman, Nikhil Verma, Darragh Chan, Kinorian, Rohith Rao, Ryan Thomson, Alberto Amigo, Matt Bodsworth, david bibb, Harrison Frede, Joseph Ricks, Taylor Smith, Ilya Tsarev, Mohammad Farzam, Tazia, Sarah Turney, Sammy Binkin, Brian Michalowski, Jiayuan Xu, Thomas Hair, Alexander Simmerl, Sven Rauber, Graham Fenech, Lumi, Stanimir Neroev, Michael Massen-Hane, Arikazei, Aakash Sapre, Sandra Giuliani, Eischen, Edznux, Alex Friele, Alexandru Dimofte, Clayton Ackroyd, Aran J‰ger, Kristiana Sevastjanova, Nadine Gantner, art haschak, Von Schifferdecker, Michael Tabron, Riley Kennedy, JP Michaud, Timo Kohlmeyer, Xavier dupont, Felipe Medeiros, Malte Brendel, Michael Newbon, Hadar Milner, Peppie THelp us caption & translate this video!http://www.youtube.com/timedtext_cs_panel?c=UCsXVk37bltHxD1rDPwtNM8Q&tab=2The Deadliest Being on Planet Earth – The Bacteriophage",
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raw_data/tabular_datasets/artifacts/data_core/tabular/c19/c19-split_manifest.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c2/c2-column_validation_report.json

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raw_data/tabular_datasets/artifacts/data_core/tabular/c2/c2-dataset_profile.json

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+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c2/c2-split_manifest.json

@@ -0,0 +1,58 @@
+{
+  "version": "0.1.0",
+  "manifest_id": "c2-20260224191102",
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+  "seed": {
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+  "split_files": {
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+    "val": "original/tabular_datasets/c2/c2-val.csv",
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+  "query_protocol_placeholders": {
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+    "inner_query_generation": "TODO",
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+    "holdout_slices": "TODO",
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+    "status": "placeholder"
+  },
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+  "diagnostics": {
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+    "all_required_splits_present": true
+  }
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c20/c20-column_validation_report.json

@@ -0,0 +1,85 @@
+{
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+    {
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+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
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+      "suggested_action": "treat_as_categorical"
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+    {
+      "column_name": "black_piece0_file",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
+      "evidence": {
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+        "unique_ratio": 0.000156
+      },
+      "suggested_action": "treat_as_categorical"
+    },
+    {
+      "column_name": "black_piece0_rank",
+      "inferred_type": "numerical",
+      "code": "NUMERIC_BUT_LOW_CARDINALITY_CODELIKE",
+      "severity": "warn",
+      "message": "Numeric column has low cardinality and may be code-like.",
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+        "unique_ratio": 0.000201
+      },
+      "suggested_action": "treat_as_categorical"
+    }
+  ]
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c20/c20-dataset_profile.json

@@ -0,0 +1,240 @@
+{
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+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c20/c20-split_manifest.json

@@ -0,0 +1,58 @@
+{
+  "version": "0.1.0",
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+  "generated_at": "2026-02-24T18:11:02+00:00",
+  "seed": {
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+  "split_files": {
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+    "val": "original/tabular_datasets/c20/c20-val.csv",
+    "test": "original/tabular_datasets/c20/c20-test.csv"
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+  "row_counts": {
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+    "train": 35855,
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+    "train": {
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+    "val": {
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+  "query_protocol_placeholders": {
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+    "inner_query_generation": "TODO",
+    "visible_split": "train+val",
+    "holdout_split": "test",
+    "holdout_slices": "TODO",
+    "seed": "TODO",
+    "status": "placeholder"
+  },
+  "warnings": [],
+  "diagnostics": {
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+    "all_required_splits_present": true
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+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c21/c21-column_validation_report.json

@@ -0,0 +1,37 @@
+{
+  "version": "0.1.0",
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+      "suggested_action": "treat_as_categorical"
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+  ]
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c21/c21-split_manifest.json

@@ -0,0 +1,58 @@
+{
+  "version": "0.1.0",
+  "manifest_id": "c21-20260224191123",
+  "dataset_id": "c21",
+  "generated_at": "2026-02-24T18:11:02+00:00",
+  "seed": {
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+  "source_main_file": "original/tabular_datasets/c21/c21-main.csv",
+  "split_files": {
+    "train": "original/tabular_datasets/c21/c21-train.csv",
+    "val": "original/tabular_datasets/c21/c21-val.csv",
+    "test": "original/tabular_datasets/c21/c21-test.csv"
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+  "query_protocol_placeholders": {
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+    "inner_query_generation": "TODO",
+    "visible_split": "train+val",
+    "holdout_split": "test",
+    "holdout_slices": "TODO",
+    "seed": "TODO",
+    "status": "placeholder"
+  },
+  "warnings": [],
+  "diagnostics": {
+    "split_errors": {},
+    "all_required_splits_present": true
+  }
+}

raw_data/tabular_datasets/artifacts/data_core/tabular/c3/c3-column_validation_report.json

@@ -0,0 +1,25 @@
+{
+  "version": "0.1.0",
+  "dataset_id": "c3",
+  "generated_at": "2026-02-24T18:11:23+00:00",
+  "checks_summary": {
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+      "code": "HIGH_CARDINALITY_IDLIKE",
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+      "message": "Column has very high cardinality and may be an identifier.",
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+      "suggested_action": "exclude_from_query_generation"
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+}