{
    "action": "final",
    "content": "## Column Classification for Iris Dataset\n\nBased on the metadata inspection, the 10 columns in the Iris table are classified as follows:\n\n### **Identifiers** (1 column)\n- **Id** (BIGINT) — Unique row identifier ranging from 1 to 150\n\n### **Categorical Dimensions** (1 column)\n- **Species** (VARCHAR) — The iris species classification with 3 distinct values (Iris-setosa, Iris-versicolor, Iris-virginica)\n\n### **Numeric Metrics** (4 columns)\n- **SepalLengthCm** (DOUBLE) — Sepal length measurement, ranging from 4.3 to 7.9 cm\n- **SepalWidthCm** (DOUBLE) — Sepal width measurement, ranging from 2.0 to 4.4 cm\n- **PetalLengthCm** (DOUBLE) — Petal length measurement, ranging from 1.0 to 6.9 cm\n- **PetalWidthCm** (DOUBLE) — Petal width measurement, ranging from 0.1 to 2.5 cm\n\n### **Dates/Times** (1 column)\n- **_ingestion_timestamp** (TIMESTAMP) — When the data was ingested (single value: 2026-08-12 19:38:25.783273)\n\n### **System/Metadata Columns** (3 columns)\nThese are technical columns added during data ingestion:\n- **_batch_id** (VARCHAR) — Ingestion batch identifier\n- **_source_file** (VARCHAR) — Source file path\n- **_source_system** (VARCHAR) — Source system identifier (\"api\")\n\n**Summary**: The core analytical columns are the 4 numeric measurements (sepal/petal dimensions) that can be analyzed across the 3 species categories. All columns have zero nulls, indicating complete data quality."
}