19.6 - Data Validation and Cleaning
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Practice Questions
Test your understanding with targeted questions
What is imputation?
💡 Hint: Think about how you would replace blank spots in data.
List two common problems associated with data.
💡 Hint: Recall the issues we discussed with data quality.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the effect of missing values on a dataset?
💡 Hint: Consider how missing information can affect conclusions.
Can normalization change how a dataset is interpreted?
💡 Hint: Think about how adjustments in numbers might change your understanding.
1 more question available
Challenge Problems
Push your limits with advanced challenges
You are given a dataset with 500 entries, and 100 of them have missing values. Describe how you would approach cleaning this dataset.
💡 Hint: Think about how significant those missing entries are to your analysis.
If a data analysis revealed that outliers were consistently skewing the results, what steps would you take to identify and deal with them?
💡 Hint: Consider the implications of outliers on your analysis results.
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