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Data Aggregation and Grouping

Lesson 4: Data Aggregation and Grouping

Data aggregation and grouping help summarize large datasets into meaningful insights. Instead of analyzing individual student records, we calculate overall patterns using averages and comparisons.

Data Aggregation

  • Summarizes data using measures like mean or count.
  • Converts raw numbers into understandable insights.

Grouping

  • Organizes data into categories for comparison.
  • Helps analyze performance across different student groups.

Why It Matters

  • Simplifies large datasets.
  • Makes comparisons easier.
  • Reveals patterns influencing exam performance.

In this project, aggregation and grouping help identify how factors like attendance and study hours impact student results .