9.9 - Summary
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Practice Questions
Test your understanding with targeted questions
What does Pandas primarily help with?
💡 Hint: Think of the main functions provided by the library.
What library would you use for numerical operations?
💡 Hint: Remember Numpy focuses on numeric data processing.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What type of analysis shows what has happened in the past?
💡 Hint: Think about what you would look at to review past performance.
True or False: Matplotlib is used for numerical computing.
💡 Hint: Recall the primary functions of each library we talked about.
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Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
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