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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What command would you use to get a summary of a DataFrame's structure?
💡 Hint: Think about the function that gives you structural insights.
Question 2
Easy
How can you get the list of columns in your DataFrame?
💡 Hint: Look for the attribute associated with DataFrame that reveals its labels.
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 function provides summary information about a DataFrame's structure?
- df.info()
- df.describe()
- df.head()
💡 Hint: It's a basic function for understanding data layout.
Question 2
True or False: df.describe() can only be used with categorical data.
- True
- False
💡 Hint: Remember what numerical summary statistics apply to.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a DataFrame with hundreds of rows and columns, outline how you would proceed to explore and clean the data before analysis.
💡 Hint: Remember to consider every step in terms of shaping your dataset for modeling.
Question 2
You're given a DataFrame where df.describe() shows a non-significant standard deviation for an age column. What steps should you take next?
💡 Hint: Think about what a low variance might indicate in terms of data quality.
Challenge and get performance evaluation