9.4 - Data Cleaning
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Practice Questions
Test your understanding with targeted questions
What command would you use to find missing values in a dataset?
💡 Hint: Look for a command that checks for null entries.
How can you remove duplicate rows from a DataFrame?
💡 Hint: Think about a method that deals with repeated entries.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of filling missing values in a dataset?
💡 Hint: Consider why we would need to fill gaps.
Duplicates in a dataset can lead to:
💡 Hint: Think about how repeated entries might change statistical outcomes.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You have a dataset of 1000 students with 15% missing grades. What steps would you take to clean this dataset before analysis?
💡 Hint: Consider the implications of keeping or dropping missing data.
Imagine you're analyzing a dataset that includes ages but some are stored as strings, like '20', '25', '30'. How would you convert these to integers for accurate analysis?
💡 Hint: Check how you can convert data types in Pandas.
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