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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of a histogram?
💡 Hint: Think about how data is spread out.
Question 2
Easy
How do you create a box plot in Seaborn?
💡 Hint: What parameters are needed for categories?
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 does Seaborn primarily enhance compared to Matplotlib?
- Functionality
- Aesthetics
- Speed
💡 Hint: Think about the visual output of the plots.
Question 2
A box plot displays which of the following?
- True
- False
💡 Hint: Think about the five-number summary.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with employee salaries across different departments, create and interpret box plots to discuss which department has the most variation in salaries.
💡 Hint: Check for the height of the boxes and where the whiskers extend.
Question 2
Analyze a count plot generated for a survey on preferred colors. Discuss the implications of uneven distribution across colors.
💡 Hint: Focus on the tallest bars and their market implications.
Challenge and get performance evaluation