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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data cleaning?
💡 Hint: Think about the first step in preparing data for analysis.
Question 2
Easy
Name a common technique used in data transformation.
💡 Hint: Consider how we can standardize numerical ranges.
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 the primary purpose of data processing?
💡 Hint: Think about what happens after you collect data.
Question 2
True or False: Data integration involves combining data from several sources.
💡 Hint: Consider how different departments might share data.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
A local school has to cleanup data from a student records database that contains several errors and duplicates. Describe the steps they should take for data cleaning and explain the rationale behind each step.
💡 Hint: Consider the importance of accuracy for future analysis.
Question 2
You are provided with a dataset that has numerical data for test scores, but there are missing values marked as 'NULL.' Propose a method to handle these missing values while justifying your choice.
💡 Hint: Think about balancing the dataset while ensuring it remains representative.
Challenge and get performance evaluation