Practice Types of Missingness - 2.2.1 | 2. Data Wrangling and Feature Engineering | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does MCAR stand for?

πŸ’‘ Hint: Remember the complete randomness of missing entries.

Question 2

Easy

Can you give an example of MAR?

πŸ’‘ Hint: Think about patterns in missing responses.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What type of missingness is MCAR?

  • Random with bias
  • Completely random
  • Dependent on other data

πŸ’‘ Hint: Think about whether randomness affects outcomes.

Question 2

Is MAR always a major source of bias?

  • True
  • False

πŸ’‘ Hint: Recall how observed data can help understand missingness.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a dataset containing survey responses regarding financial habits. The highest earners tend to skip the income question. Identify the type of missingness and suggest a handling strategy.

πŸ’‘ Hint: Refer back to definitions to identify the missingness.

Question 2

In a dataset describing health outcomes, some individuals do not answer questions about their health while others do, based on their age. Identify the type of missingness and explain the remedy.

πŸ’‘ Hint: Think about how observed data relates to the missing values.

Challenge and get performance evaluation