I need to identify columns with missing values and calculate the percentage of missing data for each. Let me query the column metadata to get null counts and then calculate percentages. ```json { "action": "tool_call", "reasoning": "I'll query the analytics.column_overview metadata table which contains null_count for each column. I can then calculate the percentage of missing values by comparing null_count to the total row count (9,551 rows as stated in the dataset card).", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, null_count, ROUND((null_count * 100.0 / 9551), 2) AS missing_percentage FROM analytics.column_overview WHERE null_count > 0 ORDER BY null_count DESC", "purpose": "Identify all columns with missing values and calculate the percentage of missing data in each column", "source": "raw" } } ```