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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of data cleaning?
💡 Hint: Think about the quality of data.
Question 2
Easy
Name one method of data visualization.
💡 Hint: Think of how you would represent data visually.
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 focus of Data Exploration?
- To clean data
- To acquire data
- To analyze and understand data
💡 Hint: Think about what you do once data is collected.
Question 2
True or False: Visualization is unnecessary if you have already conducted statistical analysis.
- True
- False
💡 Hint: Consider how data insights are conveyed.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a messy dataset with numerous missing values, duplicates, and outliers, outline a step-by-step approach to cleaning this dataset before performing any analysis.
💡 Hint: Think sequentially about data integrity.
Question 2
Develop a small project proposal that includes steps for data exploration on a dataset related to health metrics. Include methods for cleaning, analyzing, and visualizing the data.
💡 Hint: Think about the health metrics’ relevance to your dataset.
Challenge and get performance evaluation