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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 the data is organized in such files.
Question 2
Easy
What function do you use to read a CSV file in Pandas?
💡 Hint: Remember to include the filename in quotes.
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 command is used to read a CSV file in Pandas?
- pd.load_csv()
- pd.read_csv()
- pd.import_csv()
💡 Hint: Think about the function name that starts with 'read'.
Question 2
The df.head() function returns:
- The last five rows of data.
- The first five rows of data.
- The number of rows in DataFrame.
💡 Hint: Consider which part of the data you want to review quickly.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a CSV file named grades.csv with 500 student records. Write a sequence of commands to read the file, check for missing values, and summarize data distributions.
💡 Hint: Focus on using commands to read, inspect, and summarize your DataFrame.
Question 2
Imagine you're analyzing a large CSV dataset. After importing it, illustrate with Python commands how to explore the first 10 rows and determine the dataset’s structure.
💡 Hint: Ensure you adjust the head method to retrieve more rows for inspection.
Challenge and get performance evaluation