I need to identify the categorical columns and count their distinct values. From the dataset card, the CLASSIFIERS section lists the categorical columns: - Assoc (~225 distinct) - Grip (~4 distinct) - Playing hand (~4 distinct) - Playing style (~4 distinct) - Activity (~3 distinct) - Gender (~2 distinct) However, I should compute the exact distinct counts rather than rely on the approximate values in the card. I'll write a single SQL query to get precise counts for all categorical columns. ```json { "action": "tool_call", "reasoning": "Need to count distinct values for all categorical columns in one query. The card lists 6 categorical columns: Assoc, Gender, Activity, Playing hand, Playing style, and Grip. I'll use COUNT(DISTINCT col) for each in a single SELECT to get exact counts efficiently.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(DISTINCT Assoc) as assoc_distinct, COUNT(DISTINCT Gender) as gender_distinct, COUNT(DISTINCT Activity) as activity_distinct, COUNT(DISTINCT \"Playing hand\") as playing_hand_distinct, COUNT(DISTINCT \"Playing style\") as playing_style_distinct, COUNT(DISTINCT Grip) as grip_distinct FROM raw.ittf_player_info", "purpose": "Count distinct values for all categorical columns in the dataset", "source": "raw" } } ```