Practice Data Manipulation (9.5) - Data Analysis using Python

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9 questions

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3 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.
How do you select a single column called 'Age'?
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Think about how to retrieve an element in a structure.
Question 2.
What syntax do you use to filter rows with Age exceeding 30?
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Remember, conditions are set between square brackets.
3Question 3.
Which method is used to filter DataFrame in Pandas?
- df.query()
- df.filter()
- df[df['column'] > value]
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Think about how to specify rows based on conditions.
4Question 4.
True or False: You can select multiple columns using single brackets.
- True
- False
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Remember the distinction between single and double brackets.
Question 5.
Design a function to select students who scored above the average mark and sort them by age.
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Combine calculating the mean with filtering in one go, remember function design.
Question 6.
Using a DataFrame, create a new DataFrame containing only rows where 'Name' starts with 'A.'
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String operations will help you in filtering by conditions.

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