القائمة
Sub-skill of data-exploration: Key Columns (+5).
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| name | data-exploration-key-columns |
| description | Sub-skill of data-exploration: Key Columns (+5). |
| version | 1.0.0 |
| category | data-analytics |
| type | reference |
| scripts_exempt | true |
| Column | Type | Description | Example Values | Notes |
|---|---|---|---|---|
| user_id | STRING | Unique user identifier | "usr_abc123" | FK to users.id |
| event_type | STRING | Type of event | "click", "view", "purchase" | 15 distinct values |
| revenue | DECIMAL | Transaction revenue in USD | 29.99, 149.00 | Null for non-purchase events |
| created_at | TIMESTAMP | When the event occurred | 2024-01-15 14:23:01 | Partitioned on this column |
users on user_idproducts on product_idevent_details (1:many on event_id)
## Schema Exploration Queries
When connected to a data warehouse, use these patterns to discover schema:
```sql
-- List all tables in a schema (PostgreSQL)
SELECT table_name, table_type
FROM information_schema.tables
WHERE table_schema = 'public'
ORDER BY table_name;
-- Column details (PostgreSQL)
SELECT column_name, data_type, is_nullable, column_default
FROM information_schema.columns
WHERE table_name = 'my_table'
ORDER BY ordinal_position;
-- Table sizes (PostgreSQL)
SELECT relname, pg_size_pretty(pg_total_relation_size(relid))
FROM pg_catalog.pg_statio_user_tables
ORDER BY pg_total_relation_size(relid) DESC;
-- Row counts for all tables (general pattern)
-- Run per-table: SELECT COUNT(*) FROM table_name
When exploring an unfamiliar data environment: