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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does data cleaning aim to achieve?
💡 Hint: Think about the importance of correct data.
Question 2
Easy
Give one example of a simple error found in data.
💡 Hint: Consider mistakes we commonly make when writing.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is data cleaning?
💡 Hint: Think about the purpose of cleaning.
Question 2
True or False: Handling missing values can be done by removing entries altogether.
💡 Hint: Consider different strategies for incomplete data.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset with the following entries: (Raj, 14, M, 92), (Rita, NULL, F, 85), (Amit, 15, M, NULL), identify the actions required to clean this data.
💡 Hint: Consider how you would decide these values logically.
Question 2
Analyze how maintaining duplicate entries in customer data might impact a business's marketing strategy.
💡 Hint: Think about how businesses track customer relationships.
Challenge and get performance evaluation