6.4 - Summary Statistics with Pandas
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Practice Questions
Test your understanding with targeted questions
What does the df.shape attribute return?
💡 Hint: Think about how many rows and columns are in your DataFrame.
What information does df.info() provide?
💡 Hint: Consider what details are needed to understand the data structure.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does the method value_counts() do in a Pandas DataFrame?
💡 Hint: Think about how you can summarize categorical data.
True or False: The describe() method works only with numeric data types.
💡 Hint: Consider what types of data you usually summarize with this method.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Given a DataFrame with mixed data types, write a Python function using Pandas to return the shape, info, and describe methods for the data.
💡 Hint: Consider what initial analyses you would need for a thorough overview.
Imagine a scenario where a column in your DataFrame has excessive missing values. Propose a strategy to handle this before conducting any analysis.
💡 Hint: Assess the impact of missing data on analysis quality.
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