I need to identify the main categorical columns and find the most common values for each. From the column inspection, I can see several key categorical dimensions. Let me query the most common values for the main categorical columns. {"action": "tool_call", "reasoning": "I'll query the most common values for the main categorical dimensions: Chip type (primary), GPU Supplier (primary), Country, Sector, Certainty, and Builds Upon. I'll get the top values and their frequencies for each.", "tool": "query_sql", "source": "raw", "purpose": "Get frequency distribution of most common values across main categorical columns", "sql": "SELECT 'Chip type (primary)' as category, \"Chip type (primary)\" as value, COUNT(*) as frequency, ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM raw.ai_supercomputers), 1) as percentage FROM raw.ai_supercomputers GROUP BY \"Chip type (primary)\" ORDER BY frequency DESC LIMIT 10"}