I need to identify columns with missing values and calculate the percentage missing 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 to get null_count for all columns in the dataset, then calculate the percentage missing based on the total row count (3,574 rows as stated in the card). This will give me a complete picture of missing values across all columns.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, null_count, ROUND(100.0 * null_count / 3574, 2) AS pct_missing FROM analytics.column_overview WHERE null_count > 0 ORDER BY null_count DESC", "purpose": "Find all columns with missing values and calculate the percentage missing for each", "source": "raw" } } ```