4.8 - Handling Missing Data
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Practice Questions
Test your understanding with targeted questions
What method in Pandas is used to check for missing values?
💡 Hint: Think about how to identify nulls in a DataFrame.
How do you fill missing values with zero in a DataFrame?
💡 Hint: Consider the method used to replace nulls.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What method would you use to check for missing data in Pandas?
💡 Hint: Consider what the terminology might suggest about its function.
True or False: The method dropna() will keep rows that contain null values.
💡 Hint: Think about the action this function performs.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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