Practice Data Cleaning (4.3.2.1) - Acquiring Data, Processing, and Interpreting Data

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9 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does data cleaning aim to achieve?
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Think about the importance of correct data.
Question 2.
Give one example of a simple error found in data.
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Consider mistakes we commonly make when writing.
3Question 3.
What is data cleaning?
- A process of storing data
- A process of correcting or removing inaccuracies
- A process of collecting data
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Think about the purpose of cleaning.
4Question 4.
True or False: Handling missing values can be done by removing entries altogether.
- True
- False
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Consider different strategies for incomplete data.
Question 5.
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.
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Consider how you would decide these values logically.
Question 6.
Analyze how maintaining duplicate entries in customer data might impact a business's marketing strategy.
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Think about how businesses track customer relationships.

5 more questions in this section. Enroll free to practise them all.