```json { "action": "tool_call", "reasoning": "The question asks for distribution statistics (min, max, mean, median, spread) for numeric columns. Looking at the dataset card, the numeric columns are 'Amount' and 'Valuation' in the raw.Largest US Venture Funding Deals Of 2023 table. However, both are typed as VARCHAR (text), likely containing currency formatting. I need to write a single SQL query that cleans these columns (removes '$' and commas) and computes all requested statistics in one pass. I'll use DuckDB's MEDIAN() function and calculate spread as standard deviation.", "tool": "query_sql", "args": { "sql": "SELECT COUNT(*) as total_rows, COUNT(\"Amount\") as amount_non_null, COUNT(\"Valuation\") as valuation_non_null, MIN(CAST(REPLACE(REPLACE(\"Amount\", '$', ''), ',', '') AS DECIMAL)) as amount_min, MAX(CAST(REPLACE(REPLACE(\"Amount\", '$', ''), ',', '') AS DECIMAL)) as amount_max, AVG(CAST(REPLACE(REPLACE(\"Amount\", '$', ''), ',', '') AS DECIMAL)) as amount_mean, MEDIAN(CAST(REPLACE(REPLACE(\"Amount\", '$', ''), ',', '') AS DECIMAL)) as amount_median, STDDEV(CAST(REPLACE(REPLACE(\"Amount\", '$', ''), ',', '') AS DECIMAL)) as amount_stddev, MIN(CAST(REPLACE(REPLACE(\"Valuation\", '$', ''), ',', '') AS DECIMAL)) as valuation_min, MAX(CAST(REPLACE(REPLACE(\"Valuation\", '$', ''), ',', '') AS DECIMAL)) as valuation_max, AVG(CAST(REPLACE(REPLACE(\"Valuation\", '$', ''), ',', '') AS DECIMAL)) as valuation_mean, MEDIAN(CAST(REPLACE(REPLACE(\"Valuation\", '$', ''), ',', '') AS DECIMAL)) as valuation_median, STDDEV(CAST(REPLACE(REPLACE(\"Valuation\", '$', ''), ',', '') AS DECIMAL)) as valuation_stddev FROM raw.\"Largest US Venture Funding Deals Of 2023\"", "purpose": "Compute distribution statistics (min, max, mean, median, standard deviation) for the two numeric columns Amount and Valuation, cleaning currency formatting first", "source": "raw" } } ```