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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of data cleaning?
💡 Hint: Think about the importance of accuracy in data.
Question 2
Easy
What do we achieve through data transformation?
💡 Hint: Consider how data needs to be presented for computations.
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 primarily concerned with?
💡 Hint: Think about the state of data before analysis.
Question 2
True or False: Data transformation includes converting categorical variables into numerical ones.
💡 Hint: Review the methods used to prepare data for analysis.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
You have a dataset containing 1000 entries, 10% of which are duplicates. Suggest a method for dealing with duplicates while ensuring the integrity of the original dataset.
💡 Hint: Consider what tools might assist in identifying duplicates.
Question 2
In a data analysis project, you have extensive data on customer purchases but find it overwhelmingly large. Discuss a strategy for data reduction that maintains crucial information.
💡 Hint: Think about how you could describe the essence of your dataset in fewer dimensions.
Challenge and get performance evaluation