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Deep-dive data profiling for a specific table. Use when the user asks to profile a table, wants statistics about a dataset, asks about data quality, or needs to understand a table's structure and content. Requires a table name.
npx skill4agent add astronomer/agents profiling-tablesSELECT COLUMN_NAME, DATA_TYPE, COMMENT
FROM <database>.INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_SCHEMA = '<schema>' AND TABLE_NAME = '<table>'
ORDER BY ORDINAL_POSITIONrun_sqlSELECT
COUNT(*) as total_rows,
COUNT(*) / 1000000.0 as millions_of_rows
FROM <table>SELECT
MIN(column_name) as min_val,
MAX(column_name) as max_val,
AVG(column_name) as avg_val,
STDDEV(column_name) as std_dev,
PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY column_name) as median,
SUM(CASE WHEN column_name IS NULL THEN 1 ELSE 0 END) as null_count,
COUNT(DISTINCT column_name) as distinct_count
FROM <table>SELECT
MIN(LEN(column_name)) as min_length,
MAX(LEN(column_name)) as max_length,
AVG(LEN(column_name)) as avg_length,
SUM(CASE WHEN column_name IS NULL OR column_name = '' THEN 1 ELSE 0 END) as empty_count,
COUNT(DISTINCT column_name) as distinct_count
FROM <table>SELECT
MIN(column_name) as earliest,
MAX(column_name) as latest,
DATEDIFF('day', MIN(column_name), MAX(column_name)) as date_range_days,
SUM(CASE WHEN column_name IS NULL THEN 1 ELSE 0 END) as null_count
FROM <table>SELECT
column_name,
COUNT(*) as frequency,
ROUND(COUNT(*) * 100.0 / SUM(COUNT(*)) OVER(), 2) as percentage
FROM <table>
GROUP BY column_name
ORDER BY frequency DESC
LIMIT 20SELECT *
FROM <table>
LIMIT 10| Column | Type | Nulls% | Distinct | Description |
|---|---|---|---|---|
| ... | ... | ... | ... | ... |