Question

Which of the following is not a technique to handle missing or corrupted data in a dataset?
Select one or more
O A Drop missing rows or columns
O Replace missing values with mear median/mode
C. Assign a unique category to missing values
O D. Add data from sample dataset

Answer 1

Answer:

no.c

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Answer 2

(C) Assign a unique category to missed data values

Explanation:

• Following are the techniques to handle missing data values.

1. Ignore the tuple.
2. Add value manually.
3. Define a global constant and add it to missing data.
4. Place the mean data at missing places.
5. Place the missing places by the most probable value.

• Following are the techniques to handle corrupted data values.

1. Binning.
2. Regression.
3. Outlier analysis.

So, Assigning a unique category is not any of the techniques used in handling missing or corrupted values.