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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary use of the Pandas library?
💡 Hint: Think about how we structure large sets of data.
Question 2
Easy
What does NumPy provide for data scientists?
💡 Hint: Consider what kind of data we often handle.
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 library is primarily used for data manipulation in Python?
- NumPy
- Pandas
- Scikit-learn
💡 Hint: Consider which library focuses on data structures.
Question 2
True or False: Seaborn is a library used for data cleaning.
- True
- False
💡 Hint: Think about the functionality of different libraries.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a dataset with missing values, how can you handle this using Pandas?
💡 Hint: Look into common functions within the Pandas library.
Question 2
Describe how you might visualize a comparative analysis of sales data over three years using Matplotlib and Seaborn.
💡 Hint: Consider the types of graphs that best represent trends in data.
Challenge and get performance evaluation