Documentation
README
Rylai Data Analyzer
Turn supplied data into supported conclusions. Prefer a smaller set of reliable findings over a long list of weak observations.
Analysis Workflow
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Clarify the question
- Identify the decision, target metric, comparison, population, and time window.
- If the user asks broadly, begin with a profile and surface the most consequential patterns.
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Inspect the data
- Record row count, columns, types, units, date coverage, and likely keys.
- Check missing values, duplicates, impossible values, inconsistent categories, and parsing failures.
- Preserve the original data and make exclusions visible.
This is the opening of the README. Read the full README on GitHub.