<invoke name="tool_call"> <parameter name="reasoning">The earlier draft cited steps I can't see in evidence, so I need to recompute missing-value rates per month and overall, treating NULL, empty strings and '[]' as missing.</parameter> <parameter name="tool">query_sql</parameter> <parameter name="args">{"sql":"WITH u AS (SELECT 'Jan' AS m, \"Company Name\" AS cn, CAST(\"Founded\" AS VARCHAR) AS fd, \"Location\" AS lo, \"Sector\" AS se, \"What it does\" AS wd, \"Founders\" AS fo, \"Investor\" AS inv, \"Amount\" AS am, \"Stage\" AS st FROM raw.\"Indian Startups _ Funding Investors Data January 2022\" UNION ALL SELECT 'Feb', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding Investors Data February 2022\" UNION ALL SELECT 'Mar', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding Investors Data March 2022\" UNION ALL SELECT 'Apr', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding Investors Data April 2022\" UNION ALL SELECT 'May', \"Company Name\", CAST(\"Founded\" AS VARCHAR), \"Location\", \"Sector\", \"What it does\", \"Founders\", \"Investor\", \"Amount\", \"Stage\" FROM raw.\"Indian Startups _ Funding Investors Data May 2022\") SELECT COALESCE(m,'ALL') AS month, COUNT(*) AS total_rows, SUM(CASE WHEN cn IS NULL OR TRIM(cn) IN ('','[]') THEN 1 ELSE 0 END) AS company_name_missing, SUM(CASE WHEN fd IS NULL OR TRIM(fd) IN ('','[]') THEN 1 ELSE 0 END) AS founded_missing, SUM(CASE WHEN lo IS NULL OR TRIM(lo) IN ('','[]') THEN 1 ELSE 0 END) AS location_missing, SUM(CASE WHEN se IS NULL OR TRIM(se) IN ('','[]') THEN 1 ELSE 0 END) AS sector_missing, SUM(CASE WHEN wd IS NULL OR TRIM(wd) IN ('','[]') THEN 1 ELSE 0 END) AS what_it_does_missing, SUM(CASE WHEN fo IS NULL OR TRIM(fo) IN ('','[]') THEN 1 ELSE 0 END) AS founders_missing, SUM(CASE WHEN inv IS NULL OR TRIM(inv) IN ('','[]') THEN 1 ELSE 0 END) AS investor_missing, SUM(CASE WHEN am IS NULL OR TRIM(am) IN ('','[]') THEN 1 ELSE 0 END) AS amount_missing, SUM(CASE WHEN st IS NULL OR TRIM(st) IN ('','[]') THEN 1 ELSE 0 END) AS stage_missing FROM u GROUP BY ROLLUP(m) ORDER BY total_rows DESC","purpose":"Count missing values (NULL, empty, or '[]') per column per month and overall","source":"raw"}</parameter> </invoke>