{
    "action": "tool_call",
    "reasoning": "Query frequency distributions for the main categorical columns to identify the most common values in each dimension",
    "tool": "query_sql",
    "purpose": "Get frequency distributions for main categorical columns",
    "sql": "WITH chip_type_freq AS (SELECT 'Chip type (primary)' as category, \"Chip type (primary)\" as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY \"Chip type (primary)\" ORDER BY frequency DESC LIMIT 10), gpu_supplier_freq AS (SELECT 'GPU Supplier (primary)' as category, \"GPU Supplier (primary)\" as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY \"GPU Supplier (primary)\" ORDER BY frequency DESC LIMIT 10), country_freq AS (SELECT 'Country' as category, Country as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY Country ORDER BY frequency DESC LIMIT 10), sector_freq AS (SELECT 'Sector' as category, Sector as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY Sector ORDER BY frequency DESC LIMIT 10), certainty_freq AS (SELECT 'Certainty' as category, Certainty as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY Certainty ORDER BY frequency DESC LIMIT 10) SELECT * FROM chip_type_freq UNION ALL SELECT * FROM gpu_supplier_freq UNION ALL SELECT * FROM country_freq UNION ALL SELECT * FROM sector_freq UNION ALL SELECT * FROM certainty_freq ORDER BY category, frequency DESC"
}