2.1.1 - What is Data Wrangling?
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Practice Questions
Test your understanding with targeted questions
Define data wrangling in your own words.
💡 Hint: Think about how raw data needs to be prepared for further analysis.
What is imputation?
💡 Hint: Consider methods like using averages or other statistical means.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is data wrangling?
💡 Hint: Focus on what 'wrangling' implies about the data process.
Which of the following is NOT a step in data wrangling?
💡 Hint: Think about the primary goal of data wrangling.
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Challenge Problems
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You are provided a dataset containing various fields with missing values scattered throughout. Describe a systematic approach to address these missing values while ensuring minimal data loss.
💡 Hint: Consider the implications of each method on your dataset size and analysis.
You’ve received customer feedback data where some entries are duplicated, and others have inconsistent formatting (e.g., dates). Create a plan on how you would clean this data for a reliable analysis.
💡 Hint: Consistency is key; uniform data formats can save time during analysis.
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