{
    "action": "tool_call",
    "reasoning": "I've already seen the distribution for 'Chip type (primary)' in step-2. Now I need to get distributions for the other main categorical columns. From step-0, the key categorical dimensions are: Status, Certainty, Single cluster?, Country, Owner, Sector, GPU Supplier (primary), Builds Upon, and Superseded by. I'll query all of these in one SQL statement to get their top values and frequencies efficiently.",
    "tool": "query_sql",
    "sql": "WITH status_dist AS (SELECT 'Status' as category, Status as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY Status ORDER BY frequency DESC LIMIT 10), certainty_dist AS (SELECT 'Certainty' as category, Certainty as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY Certainty ORDER BY frequency DESC LIMIT 10), cluster_dist AS (SELECT 'Single cluster?' as category, CAST(\"Single cluster?\" AS VARCHAR) as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY \"Single cluster?\" ORDER BY frequency DESC LIMIT 10), country_dist AS (SELECT 'Country' as category, Country as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY Country ORDER BY frequency DESC LIMIT 10), owner_dist AS (SELECT 'Owner' as category, Owner as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY Owner ORDER BY frequency DESC LIMIT 10), sector_dist AS (SELECT 'Sector' as category, Sector as value, COUNT(*) as frequency FROM raw.ai_supercomputers GROUP BY Sector ORDER BY frequency DESC LIMIT 10), gpu_supplier_dist 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) SELECT category, value, frequency, ROUND(100.0 * frequency / 482, 1) as percentage FROM (SELECT * FROM status_dist UNION ALL SELECT * FROM certainty_dist UNION ALL SELECT * FROM cluster_dist UNION ALL SELECT * FROM country_dist UNION ALL SELECT * FROM owner_dist UNION ALL SELECT * FROM sector_dist UNION ALL SELECT * FROM gpu_supplier_dist) ORDER BY category, frequency DESC",
    "purpose": "Get the top 10 most common values and their frequencies for all main categorical columns (Status, Certainty, Single cluster?, Country, Owner, Sector, GPU Supplier) to complement the Chip type distribution already obtained",
    "source": "raw"
}