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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