PHPMem v2.0.1

Version
1.6.45
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17 days 2 hours 26 minutes 55 seconds

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512MB
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12,72MB (2.48%)
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499,28MB

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14 060
Total (since start)
40 994
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0
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760
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195 017
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0
llm:9dc16facab4b9eac35def73316a2786ed00058afb4a3a907a11fd0788083f62e
TTL 6 days 44 minutes 14 seconds Size 2,42KB Export
Edit
{
    "action": "tool_call",
    "reasoning": "My previous reply cited figures from steps I can't see in the current evidence, so I'm re-running a single query to ground the missing-value counts (NULL or blank) per column and per month.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH u AS (SELECT 'Jan' AS m, \"Company Name\" AS cn, CAST(Founded AS VARCHAR) AS f, Location AS l, Sector AS s, \"What it does\" AS w, Founders AS fo, Investor AS i, Amount AS a, 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)='' THEN 1 ELSE 0 END) AS company_name_missing, SUM(CASE WHEN f IS NULL OR TRIM(f)='' THEN 1 ELSE 0 END) AS founded_missing, SUM(CASE WHEN l IS NULL OR TRIM(l)='' THEN 1 ELSE 0 END) AS location_missing, SUM(CASE WHEN s IS NULL OR TRIM(s)='' THEN 1 ELSE 0 END) AS sector_missing, SUM(CASE WHEN w IS NULL OR TRIM(w)='' THEN 1 ELSE 0 END) AS what_it_does_missing, SUM(CASE WHEN fo IS NULL OR TRIM(fo)='' THEN 1 ELSE 0 END) AS founders_missing, SUM(CASE WHEN i IS NULL OR TRIM(i)='' THEN 1 ELSE 0 END) AS investor_missing, SUM(CASE WHEN a IS NULL OR TRIM(a)='' THEN 1 ELSE 0 END) AS amount_missing, SUM(CASE WHEN st IS NULL OR TRIM(st)='' THEN 1 ELSE 0 END) AS stage_missing FROM u GROUP BY ROLLUP(m) ORDER BY CASE COALESCE(m,'ALL') WHEN 'Jan' THEN 1 WHEN 'Feb' THEN 2 WHEN 'Mar' THEN 3 WHEN 'Apr' THEN 4 WHEN 'May' THEN 5 ELSE 6 END",
        "purpose": "Count NULL/blank values in every business column, per month and overall"
    }
}