Looking at the dataset, I can see from the column inspection that the main categorical columns are: - **Industry** (58 distinct values) - already analyzed - **Lead investors** (126 distinct values) - **Company** (127 distinct values) I've already obtained the Industry breakdown. Let me now get the most common values for Lead investors and Company. ```json { "action": "tool_call", "reasoning": "Need to find the most common lead investors. With 126 distinct values across 171 deals, this will show which investors are most active in large funding rounds.", "tool": "query_sql", "args": { "sql": "SELECT \"Lead investors\", COUNT(*) as deal_count, ROUND(COUNT(*) * 100.0 / 171, 1) as percentage FROM raw.\"Largest US Venture Funding Deals Of 2023\" GROUP BY \"Lead investors\" ORDER BY deal_count DESC LIMIT 15", "purpose": "Find the most frequent lead investors in the dataset", "source": "raw" } } ```