Practice Why Process Data? (4.3.1) - Acquiring Data, Processing, and Interpreting Data

Practice: Why Process Data?

Lesson 4.3.1Acquiring Data, Processing, and Interpreting Data

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9 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is data cleaning?
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Think about the first step in preparing data for analysis.
Question 2.
Name a common technique used in data transformation.
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Consider how we can standardize numerical ranges.
3Question 3.
What is the primary purpose of data processing?
- To gather data
- To clean and structure data
- To visualize data
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Think about what happens after you collect data.
4Question 4.
True or False: Data integration involves combining data from several sources.
- True
- False
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Consider how different departments might share data.
Question 5.
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.
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Consider the importance of accuracy for future analysis.
Question 6.
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.
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Think about balancing the dataset while ensuring it remains representative.

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