MCQs Data Visualization in R 24

The Quiz is about MCQs Data Visualization in R Programming Language. There are 20 multiple-choice questions covering different topics related to R Language Programming. Let us start with the MCQs Data Visualization in R Language now.

MCQs Data Visualization in R Languages

Online Multiple Choice Questions about Data Visualization in R Programming Language

1. How can you improve the smoothness of a histogram?

 
 
 
 

2. What information do you need to provide to create a visualization using the Leaflet library?

 
 
 
 

3. Which function is used to specify appropriate names for both axes in a plot?

 
 
 
 

4. What can you add to a plot if you want to emphasize important elements, such as outliers or spikes in your data?

 
 
 
 

5. Which of the following statements about histograms is true?

 
 
 
 

6. A pie chart is the same as a —————– in polar coordinates.

 
 
 
 

7. In a scatter plot, what is the best way to change the color of the points based on a categorical variable?

 
 
 
 

8. The qplot() function has no defaults, giving you more control over the output.

 
 

9. You want to divide a plot into subplots based on a categorical variable called “quarters”. Which function should you add to ggplot() to do this?

 
 
 
 

10. What step must you take before you can add the coord_polar() function to ggplot() to create a pie chart?

 
 
 
 

11. Which R statement creates a chart object based on the data frame “salesdata”, but allows you to vary the aesthetics from one layer to another?

 
 
 
 

12. If you do not specify a theme when creating a plot with ggplot2, which theme does it use by default?

 
 
 
 

13. Which function in ggplot adds a title to the plot?

 
 
 
 

14. Which R packages will this course use to create data visualizations?

 
 
 
 

15. Which functions can you use to change the title of a plot?

 
 
 
 

16. You added text labels to the data points on your plot, but now the plot looks messy because there are so many of them. What should you do?

 
 
 
 

17. Which plot type helps you visualize time series data?

 
 
 
 

18. Which parameter of the qplot() function changes the border color of the bars in a bar chart to blue?

 
 
 
 

19. Which ggplot2 function can create a complete plot given the data, mappings, and geom as parameters?

 
 
 
 

20. Which chart is a type of part of the whole chart?

 
 
 
 

Online MCQs Data Visualization in R Language

  • Which function in ggplot adds a title to the plot?
  • Which function is used to specify appropriate names for both axes in a plot?
  • Which R statement creates a chart object based on the data frame “salesdata”, but allows you to vary the aesthetics from one layer to another?
  • The qplot() function has no defaults, giving you more control over the output.
  • Which R packages will this course use to create data visualizations?
  • Which chart is a type of part of the whole chart?
  • Which ggplot2 function can create a complete plot given the data, mappings, and geom as parameters?
  • Which of the following statements about histograms is true?
  • A pie chart is the same as a —————– in polar coordinates.
  • Which parameter of the qplot() function changes the border color of the bars in a bar chart to blue?
  • How can you improve the smoothness of a histogram?
  • What step must you take before you can add the coord_polar() function to ggplot() to create a pie chart?
  • In a scatter plot, what is the best way to change the color of the points based on a categorical variable?
  • Which plot type helps you visualize time series data?
  • Which functions can you use to change the title of a plot?
  • What can you add to a plot if you want to emphasize important elements, such as outliers or spikes in your data?
  • You want to divide a plot into subplots based on a categorical variable called “quarters”. Which function should you add to ggplot() to do this?
  • What information do you need to provide to create a visualization using the Leaflet library?
  • You added text labels to the data points on your plot, but now the plot looks messy because there are so many of them. What should you do?
  • If you do not specify a theme when creating a plot with ggplot2, which theme does it use by default?

statistics and data analysis

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