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4 cards from this section. Quick, good the night before a test.
What command do you use to check the first five rows of a DataFrame?
Think about how to preview data.
How can you check how many null values exist in a DataFrame?
Look for functions that deal with null values.
What is the purpose of the pd.read_csv() function?
Recall how data input operations work in Pandas.
True or False: A DataFrame can only contain data of a single type.
Consider the structure of a DataFrame.
You have a DataFrame with student scores, some of which are missing. Describe how you would systematically approach cleaning this dataset.
Think about how filling or dropping impacts your dataset.
Data contains both categorical and numerical columns. How would you summarize categorical data to get insightful values?
Consider how grouping and counting can show you valuable trends.
6 more questions in this section. Enroll free to practise them all.
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