4.7 - Key Terms
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Practice Questions
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What is raw data?
💡 Hint: Think about what information might look like before it's analyzed.
Why is data cleaning important?
💡 Hint: Consider what happens if we analyze flawed data.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does raw data refer to?
💡 Hint: Reflect on the quality of data being used.
Is data cleaning necessary for reliable analytics?
💡 Hint: Ask yourself what clean data enables you to achieve.
1 more question available
Challenge Problems
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Explain a real-world scenario where poor data cleaning might lead to significant consequences. What could have been done differently?
💡 Hint: Think about industries where accuracy is paramount.
Create a visual representation of a dataset and identify the trends or patterns that emerge. How would you interpret these findings?
💡 Hint: Consider how visuals can simplify complex datasets.
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