Home > Data Science > Quizzes > Introduction to Data Science: R
Introduction to Data Science: R
Fast practice, instant feedback. Timer auto-submits when time’s up.
Avg score: 0% • Most missed: “option that omits R code and results”
Introduction to Data Science: R
Time left 00:00
25 Questions

1. a special type of vector for categorical data

2. option that does not run a code chunk, but displays the code

3. several vectors having the same length, but possibly having different data types

4. setting the line type of a line

5. the same person (or different people) getting the same results using different data

6. the familiar (x, y) rectangular coordinate system with two perpendicular axes

7. a function that will load an installed package

8. provides the time elapsed

9. (numerical) how big (in one dimension)?

10. used to facet the plot by a single variable

11. a function that returns the classes to which an object belongs to.

12. the radial analog of the cartesian system with points identified by radius p and angle theta

13. (numerical) where in relation to other things?

14. change the scope, or unit of analysis, from individual cases to aggregated groups

15. shows the names (and values) of all the objects that exist in the current workspace

16. Where data sets are often stored; special type of list that is more general than a matrix. A two-dimensional array with columns of vectors of the same length, but of possibly different types.

17. extracts a single component from a list

18. the quality is most commonly set on a linear, logarithmic, or percentage scale

19. rows of the first table that are always returned, regardless of whether there's a match in the second table. NAs inserted into columns where no matched data is found.

20. gives index (location) values of entries that satisfy the condition

21. a calling sequence eliminating spaces

22. the same person (or different people) getting the same results using the same data

23. adds a layer of points to the ggplot, which creates a scatterplot

24. concatenates scalars

25. adds bars to the ggplot, which creates a bar chart

⚡ Recently practiced quizzes in this topic
Live quiz activity
Data Analytics Practice Test Big Data & Analytics NASSCOM Certification Practice Test PySpark Practice Test Questions Basic Data Analytics and Visualization Practice Test (Tableau) Data Science Glossary Data Analysis with Python Data Science Exam #1 Data Analytics and Visualization Practice Test Pega Certified System Architect (PCSA) Study Guide Data Science Basics / Data Scientist Toolbox
 
❤ If you liked Fatskills, consider supporting us by checking out The Life Manuals You Never Got.

🌈  Our mission is to help improve your scores in any subject and exam withonline quizzes, practice tests, study guides, & advice for students. Since 2018.
About | Explore | User Guide | Topics | Subjects | Doubt Solver | Career Aptitude Test | Answers | Free Tools | OSHA Basics Quiz | What Should We Know?
Privacy | Terms |
Without work one finishes nothing. - Ralph Waldo Emerson
© 2026 Fatskills.com

All trademarks, logos and brand names are the property of their respective owners. All company, product and service names used in this website are for identification purposes only. Use of these names, trademarks and brands does not imply endorsement.