I need to explore this dataset systematically to find surprising patterns. Let me start by examining the actual data format and then look for counterintuitive findings. ```json { "action": "tool_call", "reasoning": "I need to see sample rows to understand the actual format of Amount and Valuation fields, which are VARCHAR. The inspect_columns result shows Amount ranges from $1B to $6.5B and Valuation has 'na' values. I need to see the actual format to parse these correctly.", "tool": "query_sql", "args": { "sql": "SELECT Company, Amount, Valuation, Industry, \"Date reported\" FROM raw.\"Largest US Venture Funding Deals Of 2023\" LIMIT 10", "purpose": "Examine sample rows to understand the format of Amount and Valuation fields" } } ```