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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is imputation?
💡 Hint: Think about how you would replace blank spots in data.
Question 2
Easy
List two common problems associated with data.
💡 Hint: Recall the issues we discussed with data quality.
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 is the effect of missing values on a dataset?
- They improve accuracy
- They can lead to bias
- They have no impact
💡 Hint: Consider how missing information can affect conclusions.
Question 2
Can normalization change how a dataset is interpreted?
- True
- False
💡 Hint: Think about how adjustments in numbers might change your understanding.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are given a dataset with 500 entries, and 100 of them have missing values. Describe how you would approach cleaning this dataset.
💡 Hint: Think about how significant those missing entries are to your analysis.
Question 2
If a data analysis revealed that outliers were consistently skewing the results, what steps would you take to identify and deal with them?
💡 Hint: Consider the implications of outliers on your analysis results.
Challenge and get performance evaluation