Interview questions

R-programming interview questions – page 4

150 questions. Tap “Show answer” to check yourself.

  1. What is a motivation behind data visualization in R?

  2. What is meant by hierarchical Clustering in R?

  3. Name various sectors that are using R?

  4. What are R applications of R clustering?

  5. What do you understand by data visualization in R using ggplot2?

  6. What are problems with R clustering?

  7. Why we need data visualization in R?

  8. Explain the type of clustering in R?

  9. What do you understand by scientific data visualization in R?

  10. What are methods for character functions in R?

  11. Explain advantages of density-based clustering in R?

  12. Give a brief introduction to an array in R?

  14. Explain Disadvantages of R data visualization?

  15. What are functions of Random forest in R?

  16. Why is R useful for data science?

  17. Why Reshape R Package?

  18. What is the use of sink(), Library () and search() function?

  19. What is the use of subset() function and sample() function in R ?

  20. How To Create New Variable In R Programming?

  21. How many types of data types are provided by R?

  22. How many types of object are present In R?

  23. Write the full form MANOVA and why is it used?

  24. Why is R important for data science?

  25. Name the functions which help in importing data from other applications in R?

  27. What is the difference between rnorm and runif functions ?

  28. What is the distribution in R?

  29. What makes a valid variable name in R?

  30. Explain how R commands are written?

  31. Explain how to save graphs in R?

  32. What do you mean by data visualization in R?

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