Data Preparation

Prepare raw data for visualization. This module fires after ingestion and before chart selection. It does not analyze or visualize; it makes data ready for those steps.

When to Use

• Raw data has nulls, duplicates, or inconsistent types
• Data needs aggregation, pivoting, or reshaping for the target visual
• The brief specifies quality concerns
• You are unsure whether the data is visualization-ready

When to Skip

• Data is already clean, typed, and shaped for the target visuals
• The dataset is small and you can verify quality by inspection
• The brief says "data is analysis-ready"