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      Question

      Which data analytics technique is suitable for handling

      missing data points in a dataset?
      A Imputation Correct Answer Incorrect Answer
      B Sampling Correct Answer Incorrect Answer
      C Outlier detection Correct Answer Incorrect Answer
      D Data transformation Correct Answer Incorrect Answer
      E None of these Correct Answer Incorrect Answer

      Solution

      When dealing with missing data, data scientists can use two primary methods to solve the error:  imputation or the removal of data. The imputation method develops reasonable guesses for missing data. It's most useful when the percentage of missing data is low.

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