I need to identify the main categorical columns and find their most common values with frequencies. From the evidence, I can see step-13 already shows columns with null counts, but I need to focus on categorical columns with meaningful distinct values (not mostly null, not identifiers). Let me query the most common values for key categorical columns across the main tables: ```json { "action": "tool_call", "reasoning": "I have evidence showing which columns are categorical and their null counts. Now I need to get the actual most common values and their frequencies for the main categorical columns. I'll focus on columns that are categorical, have reasonable cardinality, and aren't mostly null - like status fields, types, providers, models, etc.", "tool": "query_sql", "args": { "sql": "SELECT 'batches.status' as column_name, status as value, COUNT(*) as frequency FROM raw.batches WHERE status IS NOT NULL GROUP BY status ORDER BY frequency DESC LIMIT 5 UNION ALL SELECT 'batches.nettle_version', nettle_version, COUNT(*) FROM raw.batches WHERE nettle_version IS NOT NULL GROUP BY nettle_version ORDER BY COUNT(*) DESC LIMIT 5 UNION ALL SELECT 'llm_calls.provider', provider, COUNT(*) FROM raw.llm_calls WHERE provider IS NOT NULL GROUP BY provider ORDER BY COUNT(*) DESC LIMIT 5 UNION ALL SELECT 'llm_calls.model', model, COUNT(*) FROM raw.llm_calls WHERE model IS NOT NULL GROUP BY model ORDER BY COUNT(*) DESC LIMIT 5 UNION ALL SELECT 'llm_calls.status', status, COUNT(*) FROM raw.llm_calls WHERE status IS NOT NULL GROUP BY status ORDER BY COUNT(*) DESC LIMIT 5 UNION ALL SELECT 'llm_calls.purpose', purpose, COUNT(*) FROM raw.llm_calls WHERE purpose IS NOT NULL GROUP BY purpose ORDER BY COUNT(*) DESC LIMIT 5", "purpose": "Get most common values and frequencies for main categorical columns across key tables" } } ```