data-exploration
Data Exploration Skill
Systematic methodology for profiling datasets, assessing data quality, discovering patterns, and understanding schemas.
Data Profiling Methodology
Phase 1: Structural Understanding
Before analyzing any data, understand its structure:
Table-level questions:
- How many rows and columns?
- What is the grain (one row per what)?
- What is the primary key? Is it unique?
- When was the data last updated?
- How far back does the data go?
Column classification: Categorize each column as one of:
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