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 to get null_count for all columns in the dataset, then calculate the percentage of missing values based on the total row count (105 rows as stated in the card).", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, null_count, ROUND((null_count * 100.0 / 105), 2) AS missing_percentage 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", "source": "raw" } } ```