Practice Pandas (Data Manipulation) - 4.2 | Python for Data Science | Data Science Basic
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Pandas (Data Manipulation)

4.2 - Pandas (Data Manipulation)

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Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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