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4 cards from this section. Quick, good the night before a test.
What does the df.head() function do?
Think about its purpose in exploring the dataset.
What information does df.shape provide?
Remember, it's a tuple.
What does df.tail() do?
Think about what you want to see from the bottom of the dataset.
Does df.describe() provide categorical data information?
Focus on the type of analysis `describe` performs.
You have a DataFrame with 5000 rows and 7 columns. After performing df.info(), one column shows 'object' data type while the others are 'int64'. What does this tell you?
Consider why data types matter in analysis.
If df.describe() shows a high standard deviation for a column, what might that imply about the data?
Think about what standard deviation reveals about data distribution.
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