Practice Pandas (Data Manipulation) - 4.2 | Python for Data Science | Data Science Basic
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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 of a DataFrame like a table in a spreadsheet.

Question 2

Easy

How do you create a DataFrame from a dictionary?

💡 Hint: Remember the syntax for creating a DataFrame.

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 a DataFrame?

  • A 2D array without labels
  • A 2D labeled data structure
  • A function in Python

💡 Hint: Think about what a table represents.

Question 2

True or False: DataFrames can be created from lists only.

  • True
  • False

💡 Hint: Remember the different types of inputs you can use to create DataFrames.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a DataFrame containing student names and scores. How would you filter this DataFrame to display names of students with scores above 75?

💡 Hint: Use a conditional check to filter data.

Question 2

Create a DataFrame from a list of dictionaries containing employee names and salaries. Then calculate the average salary.

💡 Hint: Remember how to convert a list of dictionaries into a DataFrame.

Challenge and get performance evaluation