Practice Removing Duplicates - 5.5 | Data Cleaning and Preprocessing | Data Science Basic
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5.5 - Removing Duplicates

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a duplicate in a dataset?

💡 Hint: Think about how counting the same person twice affects totals.

Question 2

Easy

What is the function used to remove duplicates in pandas?

💡 Hint: Think about terms that start with 'd' for 'duplicate'.

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 primary reason for removing duplicates in data?

  • To simplify the code
  • To obtain accurate analysis
  • To make data look nicer

💡 Hint: Think about how mistakes in counting can affect results.

Question 2

True or False? The method drop_duplicates() removes duplicates based on specific column values only.

  • True
  • False

💡 Hint: What does the default behavior do?

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You have a customer DataFrame where customers are listed multiple times with the same purchasing behavior. Describe the steps you would take to ensure that your analysis considers each customer only once.

💡 Hint: What are the two main pandas functions you recall?

Question 2

Consider a dataset of test scores. If two students have identical scores listed multiple times, what effect would that have on the average score, and how would you address it?

💡 Hint: Why is it critical to have unique scores for accurate statistics?

Challenge and get performance evaluation