Data Cleaning and Preprocessing
Students learn techniques for cleaning and preprocessing raw data to ensure its quality and suitability for analysis.
Key Questions
- Explain the common types of data inconsistencies and errors.
- Analyze the impact of dirty data on analytical results.
- Construct a plan for cleaning a given messy dataset.
Common Core State Standards
Suggested Methodologies
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