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Data Aggregation and Grouping

Lesson 4: Data Aggregation and Grouping

Data aggregation summarizes large datasets using totals or averages, while grouping organizes data into meaningful categories.

In this project, aggregation and grouping are used to calculate monthly revenue, identify top product lines, analyze quarterly performance, and find high-value customers.

  • Summarizing Large Data: Converts thousands of rows into readable insights.
  • Category-Level Analysis: Enables comparison across products, time periods, and customers.
  • Insight Extraction: Helps identify patterns and high-performing segments.

This step transforms raw data into meaningful summaries.