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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What function can be used to group data in Pandas?
💡 Hint: It's a function starting with 'g'.
Question 2
Easy
What does a pivot table do?
💡 Hint: Think about organizing data in a way to derive insights.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What function would you use in Pandas to group data based on a specific category?
- groupby()
- pivot()
- aggregate()
💡 Hint: It's a function that starts with 'g'.
Question 2
True or False: Pivot tables allow for single-dimensional summarization of datasets.
- True
- False
💡 Hint: Think about how you can view data in more than one way.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset of student marks across multiple subjects, how would you utilize groupby to determine the overall average for each subject categorized by gender?
💡 Hint: Use df.groupby() for first step and aggregate aggregates like mean.
Question 2
Create a pivot table that summarizes student performance categorized by both age brackets and gender. Explain your approach.
💡 Hint: Think how you can categorize age for clarity.
Challenge and get performance evaluation