Reference material for data quality, transformation, analysis, visualization, governance, and responsible reporting.
Useful data analysis begins with a decision or question, not a tool or chart. The work should preserve provenance, make transformations reproducible, communicate uncertainty, and protect the people and information represented in the data.
| Reference | Use it for |
|---|---|
| Data Analysis Quick Reference | Data quality, cleaning, statistics, visualization, dashboards, and governance |
| Data Analysis Glossary | Short definitions for common analytical terms |
| Data Analysis Resources | Standards and primary references |
1Decision or question → data source and quality → documented transformation
2→ appropriate analysis → clear visual and limitations → governed sharing and review
Correlation can identify a relationship; it does not establish causation. A polished dashboard can be misleading if its source, denominator, time period, population, and limitations are unclear.