```json { "action": "final", "content": "## Column Classification\n\nBased on the metadata inspection, the 171 venture funding deals contain these column types:\n\n### Identifiers (1 column)\n- **Company** — unique company names receiving funding (127 distinct values across 171 deals, indicating some companies received multiple rounds)\n\n### Categorical Dimensions (2 columns)\n- **Industry** — 58 distinct industry categories (e.g., Accounting, Water)\n- **Lead investors** — 126 distinct investor names or combinations\n\n### Numeric Metrics (2 columns)\n- **Amount** — funding amount raised (stored as VARCHAR with dollar formatting like \"$1,000,000,000\", 65 distinct values ranging $1B to $6.5B)\n- **Valuation** — company valuation (stored as VARCHAR, 30 distinct values, some entries are \"na\")\n\n### Dates/Times (1 column)\n- **Date reported** — when the deal was announced (stored as VARCHAR in M/D/YY format, 112 distinct dates spanning 1/1/23 to 9/7/23)\n\n### Metadata/System Columns (4 columns)\n- **_ingestion_timestamp** — data load timestamp\n- **_batch_id** — ingestion batch identifier\n- **_source_file** — source CSV file path\n- **_source_system** — ingestion system (\"api\")\n\n**Note on data types:** The Amount, Valuation, and Date reported columns are stored as text (VARCHAR) rather than their natural types (DECIMAL/DATE). Any analysis requiring numeric operations on Amount/Valuation or temporal operations on Date reported will need to cast these columns after stripping formatting characters." } ```