Data Validation and Cleaning
Students learn techniques to validate data for accuracy and consistency, and methods for cleaning 'dirty' data.
Key Questions
- Explain the importance of data validation in maintaining data integrity.
- Construct a set of rules to validate specific data inputs.
- Analyze the impact of 'dirty' data on analytical outcomes.
ACARA Content Descriptions
Suggested Methodologies
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