<invoke name="tool_call"> <parameter name="reasoning">Numeric columns are Founded and Amount (VARCHAR, needs parsing). Compute stats across all five monthly tables in one query.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql":"WITH allr AS (SELECT 'Jan' AS m, TRY_CAST(\"Founded\" AS BIGINT) AS f, \"Amount\" AS a FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'Feb', TRY_CAST(\"Founded\" AS BIGINT), \"Amount\" FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'Mar', TRY_CAST(\"Founded\" AS BIGINT), \"Amount\" FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'Apr', TRY_CAST(\"Founded\" AS BIGINT), \"Amount\" FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', TRY_CAST(\"Founded\" AS BIGINT), \"Amount\" FROM raw.\"Indian Startups _ Funding Investors Data May 2022\"), p AS (SELECT m, f, TRY_CAST(REPLACE(REPLACE(a,'$',''),',','') AS DOUBLE) AS amt, a FROM allr) SELECT 'Founded' AS metric, COUNT(*) AS total_rows, COUNT(f) AS n_valid, MIN(f) AS min_v, MAX(f) AS max_v, ROUND(AVG(f),1) AS mean_v, MEDIAN(f) AS median_v, ROUND(STDDEV(f),1) AS stddev_v, QUANTILE_CONT(f,0.25) AS p25, QUANTILE_CONT(f,0.75) AS p75 FROM p UNION ALL SELECT 'Amount_USD', COUNT(*), COUNT(amt), MIN(amt), MAX(amt), ROUND(AVG(amt),0), MEDIAN(amt), ROUND(STDDEV(amt),0), QUANTILE_CONT(amt,0.25), QUANTILE_CONT(amt,0.75) FROM p","purpose":"Distribution stats for Founded and parsed Amount across all monthly tables","source":"raw"}</parameter> </invoke>