<invoke name="tool_call"> <parameter name="reasoning">Quantify the correlations among Founded, Stage (ordinal) and log Amount across all five monthly tables.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql":"WITH u AS (SELECT Founded::VARCHAR AS f, Amount AS a, Stage AS s FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT Founded::VARCHAR, Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT Founded::VARCHAR, Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT Founded::VARCHAR, Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT Founded, Amount, Stage FROM raw.\"Indian Startups _ Funding Investors Data May 2022\"), c AS (SELECT TRY_CAST(f AS DOUBLE) AS founded, LN(TRY_CAST(REPLACE(REPLACE(a,'$',''),',','') AS DOUBLE)) AS lnamt, CASE lower(s) WHEN 'pre-seed' THEN 1 WHEN 'seed' THEN 2 WHEN 'pre-series a' THEN 3 WHEN 'series a' THEN 4 WHEN 'series b' THEN 5 WHEN 'series c' THEN 6 WHEN 'series d' THEN 7 WHEN 'series e' THEN 8 WHEN 'series f' THEN 9 END AS stage_rank FROM u) SELECT COUNT(*) AS n, corr(stage_rank, lnamt) AS stage_vs_lnamount, corr(founded, lnamt) AS founded_vs_lnamount, corr(founded, stage_rank) AS founded_vs_stage, COUNT(lnamt) AS n_amt, COUNT(stage_rank) AS n_stage FROM c WHERE founded BETWEEN 1900 AND 2022","purpose":"Correlation among stage rank, founding year and log funding amount"}</parameter> </invoke> _end