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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data cleaning?
💡 Hint: Think about what you would do if you found errors in your report.
Question 2
Easy
Name one tool used for data visualization.
💡 Hint: Remember, we discussed popular tools in class.
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 first step in Data Exploration?
💡 Hint: Think about what we discussed as the foundational process.
Question 2
True or False: Data visualization has no impact on pattern recognition.
💡 Hint: Recall how visuals can sometimes make complex data clearer.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
If you were given a dataset where food waste fluctuated based on weather changes, explain how you would conduct Data Exploration and what specific visualizations you would create.
💡 Hint: Recall the visualizations we discussed in class.
Question 2
Discuss how you would apply Data Cleaning principles to a dataset containing customer reviews with numerous typos and spams. What steps would you take?
💡 Hint: Consider the various cleaning techniques we previously learned.
Challenge and get performance evaluation