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4 cards from this section. Quick, good the night before a test.
What command would you use to find missing values in a dataset?
Look for a command that checks for null entries.
How can you remove duplicate rows from a DataFrame?
Think about a method that deals with repeated entries.
What is the purpose of filling missing values in a dataset?
Consider why we would need to fill gaps.
Duplicates in a dataset can lead to:
Think about how repeated entries might change statistical outcomes.
You have a dataset of 1000 students with 15% missing grades. What steps would you take to clean this dataset before analysis?
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?
Check how you can convert data types in Pandas.
5 more questions in this section. Enroll free to practise them all.
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