```json { "action": "tool_call", "reasoning": "I have the top 5 job titles from step-0. The card shows several other key classifiers: company_name (~17 distinct), industry (~15 distinct), education_required (~4 distinct), employment_type (~4 distinct), experience_level (~4 distinct), company_size (~3 distinct), remote_ratio (~3 distinct), and salary_currency (~3 distinct). I need to query the most common values for these remaining categorical columns to complete the picture. I'll write one SQL query to get top values and frequencies for all of them.", "tool": "query_sql", "args": { "sql": "WITH company_top AS (SELECT 'company_name' as column_name, company_name as value, COUNT(*) as frequency FROM raw.ai_job_dataset GROUP BY company_name ORDER BY frequency DESC LIMIT 5), industry_top AS (SELECT 'industry' as column_name, industry as value, COUNT(*) as frequency FROM raw.ai_job_dataset GROUP BY industry ORDER BY frequency DESC LIMIT 5), education_top AS (SELECT 'education_required' as column_name, education_required as value, COUNT(*) as frequency FROM raw.ai_job_dataset GROUP BY education_required ORDER BY frequency DESC LIMIT 5), employment_top AS (SELECT 'employment_type' as column_name, employment_type as value, COUNT(*) as frequency FROM raw.ai_job_dataset GROUP BY employment_type ORDER BY frequency DESC LIMIT 5), experience_top AS (SELECT 'experience_level' as column_name, experience_level as value, COUNT(*) as frequency FROM raw.ai_job_dataset GROUP BY experience_level ORDER BY frequency DESC LIMIT 5), size_top AS (SELECT 'company_size' as column_name, company_size as value, COUNT(*) as frequency FROM raw.ai_job_dataset GROUP BY company_size ORDER BY frequency DESC LIMIT 5), remote_top AS (SELECT 'remote_ratio' as column_name, CAST(remote_ratio AS VARCHAR) as value, COUNT(*) as frequency FROM raw.ai_job_dataset GROUP BY remote_ratio ORDER BY frequency DESC LIMIT 5), currency_top AS (SELECT 'salary_currency' as column_name, salary_currency as value, COUNT(*) as frequency FROM raw.ai_job_dataset GROUP BY salary_currency ORDER BY frequency DESC LIMIT 5) SELECT column_name, value, frequency, ROUND(100.0 * frequency / 15000, 2) as percentage FROM (SELECT * FROM company_top UNION ALL SELECT * FROM industry_top UNION ALL SELECT * FROM education_top UNION ALL SELECT * FROM employment_top UNION ALL SELECT * FROM experience_top UNION ALL SELECT * FROM size_top UNION ALL SELECT * FROM remote_top UNION ALL SELECT * FROM currency_top) ORDER BY column_name, frequency DESC", "purpose": "Get top 5 most common values and their frequencies for all main categorical columns (company_name, industry, education_required, employment_type, experience_level, company_size, remote_ratio, salary_currency)", "source": "raw" } } ```