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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the read_csv()
function do in Pandas?
π‘ Hint: Think about how you read a file on your computer.
Question 2
Easy
What is a Series in Pandas?
π‘ Hint: Consider it as a single column in a table.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of Pandas?
π‘ Hint: Think about what essential tasks are needed before machine learning.
Question 2
True or False: A DataFrame is a one-dimensional labeled array.
π‘ Hint: Consider the difference between columns and rows.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset of weather conditions, write code to load it into a DataFrame, filter for rainy days, and calculate the average temperature on those days.
π‘ Hint: Remember to apply filtering logic to your DataFrame.
Question 2
How would you handle a dataset where 20% of the entries are missing? Write a strategy for cleaning the data.
π‘ Hint: Think about the implications of your cleaning methods on the dataset's integrity.
Challenge and get performance evaluation