Practice - Handling Missing Values
Practice Questions
Test your understanding with targeted questions
What is a missing value?
💡 Hint: Think about what happens when data is not recorded.
What is row-wise deletion?
💡 Hint: Consider how it's different from deleting columns.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What are the two main strategies for handling missing values?
💡 Hint: Think about how we manage incomplete data.
True or False: Mean imputation can distort relationships in data.
💡 Hint: Consider the impact of using the average on diverse datasets.
1 more question available
Challenge Problems
Push your limits with advanced challenges
A dataset has 25% missing values in a crucial numeric column. Discuss whether you would choose deletion or imputation and justify your answer.
💡 Hint: Think about how critical the data is for your analysis.
After conducting K-NN imputation, you observe that the variance of the column has significantly decreased. What might be the reason, and how could this affect your analysis?
💡 Hint: Consider how K-NN works in relation to input data points.
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Reference links
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