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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a CSV file used for?
💡 Hint: Think about how data is organized in a table.
Question 2
Easy
What command is used to read a CSV file in Pandas?
💡 Hint: Remember the library we are using.
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 library do we use to read CSV files in Python?
- NumPy
- Matplotlib
- Pandas
💡 Hint: Consider which library we've focused on today.
Question 2
The head() method displays how many rows by default?
- True
- False
💡 Hint: Think about the default settings of common functions.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a CSV file with hundreds of entries. Write a code snippet to find the average of a certain column in the data.
💡 Hint: Remember to replace 'column_name' with the actual name of the column you're interested in.
Question 2
Consider a scenario where you need to display the top 10 rows of a large dataset while also handling any potential missing values. Write a Python script to achieve this.
💡 Hint: How do we manage missing values while reading?
Challenge and get performance evaluation