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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a DataFrame in Pandas?
💡 Hint: Think about how data is organized.
Question 2
Easy
How do you access a column named 'Age' in a DataFrame?
💡 Hint: Use square brackets to access the column.
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 main purpose of a DataFrame in Pandas?
- To store one-dimensional data
- To analyze data
- To represent two-dimensional labeled data
💡 Hint: Think about the shape of the data.
Question 2
True or False: A DataFrame can only contain numeric data.
- True
- False
💡 Hint: Remember that multiple data types can co-exist in a DataFrame.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a DataFrame for a store inventory with three items (item name, price, quantity in stock). Then filter out items that are out of stock.
💡 Hint: Use the same structure we followed for creating DataFrames.
Question 2
Imagine you have student data with 'Name', 'Score', and 'Pass/Fail' status. Create a DataFrame and calculate the average score of all students who passed.
💡 Hint: Think about how to filter and then perform a calculation.
Challenge and get performance evaluation