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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does Pandas primarily help with?
💡 Hint: Think of the main functions provided by the library.
Question 2
Easy
What library would you use for numerical operations?
💡 Hint: Remember Numpy focuses on numeric data processing.
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 type of analysis shows what has happened in the past?
- Descriptive
- Predictive
- Diagnostic
💡 Hint: Think about what you would look at to review past performance.
Question 2
True or False: Matplotlib is used for numerical computing.
- True
- False
💡 Hint: Recall the primary functions of each library we talked about.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset of students with their scores in different subjects, you observe many missing values. Explain a systematic approach to clean this dataset in Pandas.
💡 Hint: Think about the implications of each cleaning decision.
Question 2
Create a visualization in Matplotlib that compares student performance across different subjects, but the dataset contains duplicate entries as well. Outline your steps.
💡 Hint: Remember to address data integrity before visualizing.
Challenge and get performance evaluation