9.2 - Step 1: Data Exploration
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Practice Questions
Test your understanding with targeted questions
What does the command df.describe() do?
💡 Hint: Think about the summary you can get about numbers.
What is the purpose of examining categorical variables?
💡 Hint: Consider why we investigate different groups in data.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of df.info() in data analysis?
💡 Hint: Think about what foundational insights you get from a dataset.
True or False: Understanding descriptive statistics is important before starting machine learning.
💡 Hint: Consider what helps guide model development.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Suppose your attendance column has missing values. How would you approach imputation? Select a strategy and justify your choice.
💡 Hint: Think about which measure reflects your data's distribution best.
If you find that most students in preparation_course passed, while those who didn’t often failed, how could this information guide your machine learning model?
💡 Hint: Consider how features impact model decisions.
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