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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is numerical data? Give an example.
💡 Hint: Think about data that can be counted.
Question 2
Easy
What is data acquisition?
💡 Hint: It involves gathering information from various sources.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Which type of data consists of categories like color or gender?
💡 Hint: Think about data that doesn’t involve counting.
Question 2
Data processing is unnecessary for interpreting data.
💡 Hint: Consider what happens if data is raw.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Consider a situation in which only categorical data is collected in a survey about technology preference. What are potential challenges in interpretation?
💡 Hint: Reflect on how numeric ratings give more depth.
Question 2
Predict what would happen if an AI model used unprocessed data directly without passing through data cleaning and transformation; provide reasoning.
💡 Hint: Think about how errors impact overall results.
Challenge and get performance evaluation