I can see from the evidence that the `table_correlations` table stores correlation matrices in JSON format. Let me extract and analyze the strongest correlations from these matrices. {"action": "tool_call", "reasoning": "The table_correlations table has correlation matrices stored in matrix_json and the column names in columns_json. I need to parse these JSON structures to find the strongest correlations. I'll extract the column pairs and their correlation coefficients, filtering for strong correlations (absolute value > 0.7 typically indicates strong correlation).", "tool": "query_sql", "purpose": "Extract and rank the strongest correlations from the correlation matrices", "args": {"sql": "WITH parsed AS (SELECT dataset_id, tables_catalog_id, columns_json, matrix_json, json_array_length(columns_json) as num_cols FROM raw.table_correlations), correlations AS (SELECT p.dataset_id, p.tables_catalog_id, json_extract_string(p.columns_json, '$[' || i.idx || ']') as col1, json_extract_string(p.columns_json, '$[' || j.idx || ']') as col2, CAST(json_extract_string(p.matrix_json, '$[' || i.idx || '][' || j.idx || ']') AS DOUBLE) as correlation FROM parsed p CROSS JOIN (SELECT unnest(generate_series(0, 54)) as idx) i CROSS JOIN (SELECT unnest(generate_series(0, 54)) as idx) j WHERE i.idx < p.num_cols AND j.idx < p.num_cols AND i.idx < j.idx) SELECT col1, col2, correlation, COUNT(*) as occurrences FROM correlations WHERE correlation IS NOT NULL AND ABS(correlation) >= 0.7 GROUP BY col1, col2, correlation ORDER BY ABS(correlation) DESC, occurrences DESC LIMIT 50", "source": "raw"}}