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Which of the following is a common technique for handling missing numerical data

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Question: Which of the following is a common technique for handling missing numerical data?

Options:

  1. One-hot encoding
  2. Mean imputation
  3. Label encoding
  4. Feature scaling

Correct Answer: Mean imputation

Solution: 

Mean imputation is a common technique where missing values are replaced with the mean of the available data.

Which of the following is a common technique for handling missing numerical data

Practice Questions

Q1
Which of the following is a common technique for handling missing numerical data?
  1. One-hot encoding
  2. Mean imputation
  3. Label encoding
  4. Feature scaling

Questions & Step-by-Step Solutions

Which of the following is a common technique for handling missing numerical data?
  • Step 1: Understand that sometimes in data, some numbers are missing.
  • Step 2: Know that we can fill in these missing numbers to make our data complete.
  • Step 3: One way to fill in the missing numbers is to use the average (mean) of the numbers that we do have.
  • Step 4: Calculate the mean by adding up all the available numbers and dividing by how many numbers there are.
  • Step 5: Replace the missing numbers with this calculated mean.
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