Question

Which one of the following statements about unique value filtering is true?

1) Unique value filtering removes duplicate values from a dataset.
2) Unique value filtering is only applicable to numerical data.
3) Unique value filtering is a method used in machine learning algorithms.
4) Unique value filtering is not a common data preprocessing technique.

Answer 1

The correct statement is that unique value filtering removes duplicate values from a dataset, and it's a common data preprocessing technique applicable to various types of data.

Step-by-step explanation:

The question is about unique value filtering, which refers to a data preprocessing technique commonly used in various disciplines, including data analysis, machine learning, and database management. In response to the student's question, the correct statement is: Unique value filtering removes duplicate values from a dataset. This process is important to ensure the quality and integrity of the data. Unique value filtering is not limited to numerical data, as it can be applied to categorical data as well (such as strings or dates) and it is indeed a common preprocessing step in data analysis, ensuring that the results are not skewed by duplicates.