1. What does “preparing data for exploration” actually mean?

  • It involves cleaning messy datasets by fixing errors and removing duplicates.
  • Missing values are handled so they don’t affect the analysis.
  • Data is organized into a structured format (tables, rows, columns).
  • Preprocessing makes data reliable for visualization and machine learning.

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