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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What method in Pandas is used to check for missing values?
💡 Hint: Think about how to identify nulls in a DataFrame.
Question 2
Easy
How do you fill missing values with zero in a DataFrame?
💡 Hint: Consider the method used to replace nulls.
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 method would you use to check for missing data in Pandas?
- isna()
- isnull()
- nullcheck()
💡 Hint: Consider what the terminology might suggest about its function.
Question 2
True or False: The method dropna() will keep rows that contain null values.
- True
- False
💡 Hint: Think about the action this function performs.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Suppose you have a dataset with 100 rows, and 40 of them have missing values. Discuss the implications if you choose to drop these rows versus filling them.
💡 Hint: Think about how critical each piece of data is for your final analysis.
Question 2
Given the list of operations and the initial dataset, outline a sequence of steps for cleaning data that has missing entries in various columns using both filling and dropping methods.
💡 Hint: Consider the balance between maintaining data and ensuring quality.
Challenge and get performance evaluation