21. Which library in Python is commonly used for data manipulation and analysis in Data Science?
22. What is the term for the process of cleaning and organizing data into a structured format suitable for analysis?
23. In Data Science, what is the primary purpose of data visualization?
24. Which step in the Data Science process involves assessing the quality of collected data?
25. Which of the following is a common technique used to handle imbalanced datasets in classification problems?
26. What type of data analysis focuses on understanding the relationships and patterns within a dataset?
27. Which of the following is NOT a key role in a typical Data Science team?
28. What is the process of converting categorical variables into numerical values for machine learning called?
29. Which of the following is NOT a common data visualization tool or library used in Data Science?
30. In Data Science, what is the term for the process of reducing the dimensionality of a dataset while preserving information?
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