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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What command do you use to check the first five rows of a DataFrame?
💡 Hint: Think about how to preview data.
Question 2
Easy
How can you check how many null values exist in a DataFrame?
💡 Hint: Look for functions that deal with null values.
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 is the purpose of the pd.read_csv() function?
- To write data to a CSV file
- To read data from a CSV file
- To create a DataFrame
💡 Hint: Recall how data input operations work in Pandas.
Question 2
True or False: A DataFrame can only contain data of a single type.
- True
- False
💡 Hint: Consider the structure of a DataFrame.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a DataFrame with student scores, some of which are missing. Describe how you would systematically approach cleaning this dataset.
💡 Hint: Think about how filling or dropping impacts your dataset.
Question 2
Data contains both categorical and numerical columns. How would you summarize categorical data to get insightful values?
💡 Hint: Consider how grouping and counting can show you valuable trends.
Challenge and get performance evaluation