Data completeness, consistency and integrity: data dictionaries, data types and naming conventions

What this note covers

1. Completeness, consistency and integrity defined
2. Analysing a sample dataset for problems
3. Data dictionaries
4. Data types and conversions
5. Naming conventions and structures
6. Refining data in algorithms and evaluating data quality

6 sections · 10 key terms & formulas · 6 common mistakes