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

2.2.1 - Types of Missingness

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does MCAR stand for?

💡 Hint: Remember the complete randomness of missing entries.

Question 2 Easy

Can you give an example of MAR?

💡 Hint: Think about patterns in missing responses.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What type of missingness is MCAR?

Random with bias
Completely random
Dependent on other data

💡 Hint: Think about whether randomness affects outcomes.

Question 2

Is MAR always a major source of bias?

True
False

💡 Hint: Recall how observed data can help understand missingness.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

💡 Hint: Refer back to definitions to identify the missingness.

Challenge 2 Hard

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.

💡 Hint: Think about how observed data relates to the missing values.

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