I need to identify the categorical columns and count their distinct values. From the dataset card, I can see the CLASSIFIERS section lists categorical columns with approximate distinct counts, but I should get precise counts for all categorical columns. Let me write a single SQL query to count distinct values for all categorical (VARCHAR) columns in the table: ```json { "action": "tool_call", "reasoning": "The dataset card shows several categorical columns (VARCHAR type): event, medal, country, medalist, event_type, gender, era, plus some metadata columns. I'll write one query with COUNT(DISTINCT ...) for each categorical column to get precise distinct value counts in a single execution.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(DISTINCT event) as event_distinct, COUNT(DISTINCT medal) as medal_distinct, COUNT(DISTINCT country) as country_distinct, COUNT(DISTINCT medalist) as medalist_distinct, COUNT(DISTINCT event_type) as event_type_distinct, COUNT(DISTINCT gender) as gender_distinct, COUNT(DISTINCT era) as era_distinct, COUNT(DISTINCT _batch_id) as batch_id_distinct, COUNT(DISTINCT _source_file) as source_file_distinct, COUNT(DISTINCT _source_system) as source_system_distinct FROM raw.olympic_table_tennis_medals_1988_2024", "purpose": "Count distinct values for all categorical (VARCHAR) columns to answer the question about cardinality of each categorical column", "source": "raw" } } ```