R Data Visualization Quiz 32

Test your R data visualization skills with this 20-question R Graphics MCQ quiz! This R Data Visualization Quiz is perfect for R learners, statisticians, and data analysts preparing for exams or job interviews. Covers ggplot2, Plotly, animations, choropleths, SF maps, and best practices in R visualization. Assess your expertise now! Let us start with the R Data Visualization Quiz now.

R Data Visualization Quiz R MCQs

Online R Data Visualization Quiz with Answers

1. When would you use transition_layers()?

 
 
 

2. What is the point of mapping the id’s aesthetic when animating a ggplot figure with ggplotly?

 
 
 

3. What will be the output of this R code?

ggplot(data, aes(cty, hwy)) +
geom_point() +
stat_smooth(method = lm)

 
 
 
 

4. How do you export an animation created with ggplotly?

 
 
 

5. Which of these most accurately describes how to fill in the colors for a choropleth made with simple features data?

 
 
 

6. How can you control the speed of a transition between frames in transition_states?

 
 
 

7. Is it better to use a .shp file or .geojson file?

 
 
 

8. What aesthetic do you use to select the variable for painting in a choropleth?

 
 
 
 

9. When you want to use a .geojson or .shp file to draw a simple features map, what should you do with other files that might be associated with those files when you download the data?

 
 
 

10. Which function do you use to create a pie chart in Base R?

 
 
 
 

11. What is the best practice for adding labels to points in a bubbleplot made with simple features data?

 
 
 

12. Which of these is a way to export an interactive plotly figure?

 
 
 

13. What R package do you need to draw Simple Features maps with R in conjunction with ggplot?

 
 
 
 

14. What aesthetic do you set in the ggplot() function that allows ggplotly to animate the figure?

 
 
 

15. What geom is used to draw maps using simple features data?

 
 
 
 

16. What is “easing”?

 
 
 

17. What is the advantage of the usa_sf() data?

 
 
 

18. What is the basic function for adding the plotly interactive interface to a ggplot figure?

 
 
 

19. What is the closest animated equivalent to making a static figure with facet_wrap and a categorical variable?

 
 
 

20. What is the most straightforward way of saving an animation?

 
 
 

Question 1 of 20

R Data Visualization Quiz with Answers

  • Which function do you use to create a pie chart in Base R?
  • What aesthetic do you use to select the variable for painting in a choropleth?
  • What R package do you need to draw Simple Features maps with R in conjunction with ggplot?
  • What geom is used to draw maps using simple features data?
  • Which of these most accurately describes how to fill in the colors for a choropleth made with simple features data?
  • What is the best practice for adding labels to points in a bubbleplot made with simple features data?
  • What is the advantage of the usa_sf() data?
  • What is the closest animated equivalent to making a static figure with facet_wrap and a categorical variable?
  • What is the most straightforward way of saving an animation?
  • What is “easing”?
  • When would you use transition_layers()?
  • How can you control the speed of a transition between frames in transition_states?
  • What is the basic function for adding the plotly interactive interface to a ggplot figure?
  • Which of these is a way to export an interactive plotly figure?
  • What aesthetic do you set in the ggplot() function that allows ggplotly to animate the figure?
  • How do you export an animation created with ggplotly?
  • What is the point of mapping the id’s aesthetic when animating a ggplot figure with ggplotly?
  • What will be the output of this R code? ggplot(data, aes(cty, hwy)) + geom_point() + stat_smooth(method = lm)
  • Is it better to use a .shp file or .geojson file?
  • When you want to use a .geojson or .shp file to draw a simple features map, what should you do with other files that might be associated with those files when you download the data?

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