I need to identify the categorical columns and count their distinct values. From the dataset card, I can see the CLASSIFIERS section lists the categorical columns with approximate distinct counts, but I should verify these with actual queries to provide precise numbers. Let me write a single SQL query to get exact distinct counts for all categorical columns in the raw table: ```json { "action": "tool_call", "reasoning": "I'll query the raw table to get exact distinct counts for all categorical columns in one query. The card lists these categorical columns: job_title, company_name, industry, education_required, employment_type, experience_level, company_size, remote_ratio, and salary_currency. I'll use COUNT(DISTINCT col) for each.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(DISTINCT job_title) as job_title_distinct, COUNT(DISTINCT company_name) as company_name_distinct, COUNT(DISTINCT industry) as industry_distinct, COUNT(DISTINCT education_required) as education_required_distinct, COUNT(DISTINCT employment_type) as employment_type_distinct, COUNT(DISTINCT experience_level) as experience_level_distinct, COUNT(DISTINCT company_size) as company_size_distinct, COUNT(DISTINCT remote_ratio) as remote_ratio_distinct, COUNT(DISTINCT salary_currency) as salary_currency_distinct FROM raw.ai_job_dataset", "purpose": "Count exact distinct values for all categorical columns in the dataset", "source": "raw" } } ```