Practice Handling Missing And Incorrect Data (6.4) - Data Exploration

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9 questions

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6 sample questions

Question 1.
What is a missing value?
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Think about data surveys.
Question 2.
What is an outlier?
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Consider scores in a test.
3Question 3.
What is the definition of missing values?
- Data that is complete
- Data that is absent or incomplete
- Data that is accurate
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Consider what happens when data isn't fully recorded.
4Question 4.
True or False: An outlier is always a bad data point.
- True
- False
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Think about the valuable information outliers might reveal.
Question 5.
Given a dataset with 100 entries where 10 have missing values, describe an effective strategy to handle the missing values considering the distribution of your data.
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Check how the missing values affect the analysis.
Question 6.
You find an outlier in your dataset that drastically alters the mean but not the median. Discuss how you should proceed and what factors to consider.
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Think critically about context and cause.

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