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Data Science Tool Box Introduction to Data Science & R Programming part 1

Introduction to Data Science & R Programming

1. What is Data Science?

2. Which of the following is NOT a typical step in the Data Science process?

3. What type of Data Science question asks 'What happened?'

4. What is the primary purpose of experimental design in Data Science?

5. What is R primarily used for?

6. What is a vector in R?

7. Which function is used to create a vector in R?

8. What is a matrix in R?

9. What makes lists different from vectors in R?

10. What are factors used for in R?

11. What is a data frame in R?

12. Which operator is used for equality comparison in R?

13. What does the & operator do in R logical statements?

14. What is the correct syntax for an if-else statement in R?

15. How do you define a function in R?

16. What is the syntax for a for loop in R?

17. When does a while loop stop executing in R?

18. What type of Data Science question involves making inferences about a population from a sample?

19. What characterizes structured data?

20. Which of the following is an example of unstructured data?

21. Which operator is commonly used for assignment in R?

22. What does the length() function return in R?

23. What does the str() function do in R?

24. How do you access the first element of a vector named 'x' in R?

25. What function tells you the data type of an object in R?

26. What is the goal of predictive Data Science questions?

27. What is the purpose of a control group in experimental design?

28. What does the names() function do in R?

29. Which function returns the dimensions of a matrix in R?

30. What does the is.na() function check for in R?

31. What does the rep() function do in R?

32. Which function creates a sequence of numbers in R?

33. What does the paste() function do in R?

34. Which function sorts elements in R?

35. What does the unique() function return in R?

36. What does the which() function do in R?

37. What is the purpose of the apply() function in R?

38. Which function provides a summary of an R object?

39. What does the head() function show in R?

40. What does the tail() function display in R?

41. Which function calculates the average in R?

42. What does the median() function calculate in R?

43. Which function calculates variance in R?

44. What does the sd() function calculate in R?

45. What does the range() function return in R?

46. Which function finds the maximum value in R?

47. What does the min() function return in R?

48. Which function calculates the total sum in R?

49. What does the quantile() function calculate in R?

50. What does the table() function create in R?

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