As dirty data often results in poor and incorrect output which can have damaging effects, it is very important to do data cleaning to have correct and relevant information.

  • Cleaned data highly increases the accuracy of a model and gives good predictions.
  • It results in increased speed and efficiency of an application.
  • Data cleaning helps a user to identify any high-risk issues and helps them to fix them.
  • It maintains data consistency and helps in removing duplicates.
  • Data cleaning can also increase the data quality.
BY Best Interview Question ON 02 Nov 2022

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