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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the df.shape attribute return?
💡 Hint: Think about how many rows and columns are in your DataFrame.
Question 2
Easy
What information does df.info() provide?
💡 Hint: Consider what details are needed to understand the data structure.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does the method value_counts() do in a Pandas DataFrame?
- Counts the total number of rows
- Counts unique values in a specified column
- Returns the data types of columns
💡 Hint: Think about how you can summarize categorical data.
Question 2
True or False: The describe() method works only with numeric data types.
- True
- False
💡 Hint: Consider what types of data you usually summarize with this method.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation