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4 cards from this section. Quick, good the night before a test.
What is data cleaning?
Think of how you would make a room tidy.
Why is data transformation necessary?
Consider the formats you encounter daily.
What is the purpose of data cleaning?
Think about why data needs to be neat and tidy.
True or False: Data transformation only means changing data types.
Think about a broader concept.
Given a dataset with multiple entries containing NULL values, devise a plan to clean the data effectively and justify your choices.
Consider the implications of each method on your results.
Describe how you would integrate data from two different sources (e.g., sales records and customer feedback) while ensuring data accuracy.
Think about data consistency and potential conflicts when combining.
4 more questions in this section. Enroll free to practise them all.
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