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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does CSV stand for?
💡 Hint: Think about how data values are separated within the file.
Question 2
Easy
What library do we use to read CSV files in Python?
💡 Hint: It's a widely used library for data manipulation.
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 method is used to read a CSV file in Pandas?
- pd.open_csv()
- pd.read_csv()
- pd.load_csv()
💡 Hint: Think about the function naming.
Question 2
True or False: The df.info() method displays the indexes and memory usage of a DataFrame.
- True
- False
💡 Hint: This includes more than just column names.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a CSV file named 'data.csv', write the Python code to read it and display its structure and first 10 rows.
💡 Hint: Make sure to import the Pandas library and specify the correct file name.
Question 2
You have a CSV file with several columns. How can you identify which columns may need additional data cleaning based on the output of df.info()?
💡 Hint: Non-null counts are key to assessing the health of your dataset.
Challenge and get performance evaluation