4. Why is data preparation so important before analysis?

  • Raw data is often incomplete or inconsistent.
  • Errors in unprepared data can lead to wrong conclusions.
  • Clean, structured data helps models and visualizations work correctly.
  • Data preparation saves time in later stages of analysis.

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