MCQs Maps and Data Visualization in R 27

Put your R programming skills to the test with our MCQs Maps and Data Visualization in R Language quiz! This set of 20 multiple-choice questions covers essential topics like creating maps, plotting data, and mastering visualization techniques in R. Ideal for data scientists, analysts, and R enthusiasts, this quiz will help you sharpen your skills and deepen your understanding of data visualization. Take the quiz “MCQs Maps and Data Visualization in R Language now and level up your R programming expertise!

MCQs Maps and Data Visualization in R Language

Online MCQs Maps and Data Visualization in R Language with Answers

1. Using the ggplot() method, which geometry function do you need to use to create a scatter plot?

 
 
 
 

2. Which of these statements about qplot() is NOT correct?

 
 
 

3. How do you add titles and labels to figures you create with plot()?

 
 
 

4. The R command df %>% leaflet() %>% addTiles() is equivalent to what?

 
 
 
 
 

5. The lattice system, like the base plotting system, returns a trellis plot object

 
 

6. The lattice system is ideal for creating conditioning plots where you examine the same kind of plot under many different conditions.

 
 

7. Which two methods can be used to create scatter plots?

 
 
 
 

8. By default, what is the first argument in the plot() function?

 
 
 
 
 

9. Using themes, you can change the colors and styles of the borders, backgrounds, lines, and text on a plot. What should you do if you want to completely remove one of these elements from the theme?

 
 
 
 

10. Load the `airquality’ dataset from the datasets package in R
library(datasets)
data(airquality)

I am interested in examining how the relationship between ozone and wind speed varies across each month. What would be the appropriate code to visualize that using ggplot2?

 
 
 
 

11. What is a histogram?

 
 
 
 

12. Lattice plots are constructed with a single function call to a core lattice function (e.g. xyplot)

 
 

13. The geom argument takes a string for a value.

 
 

14. Which statement best describes facets?

 
 
 
 

15. In a Leaflet map, which two statements describe the difference between the addCircles() and addCircleMarkers() functions?

 
 
 
 

16. Which function should you use if you want to add markers to display a specific location on a map that you draw?

 
 
 
 

17. If I want to add popup icons to my leaflet map in R, I should use?

 
 
 
 

18. Which package can you use for extra themes and color scales for ggplot2?

 
 
 
 

19. What is a leaflet?

 
 
 
 

20. Which package should be used to create a scatter plot?

 
 
 
 

Online MCQs Maps and Data Visualization in R Language

  • Using themes, you can change the colors and styles of the borders, backgrounds, lines, and text on a plot. What should you do if you want to completely remove one of these elements from the theme?
  • In a Leaflet map, which two statements describe the difference between the addCircles() and addCircleMarkers() functions?
  • Which package should be used to create a scatter plot?
  • Using the ggplot() method, which geometry function do you need to use to create a scatter plot?
  • Which statement best describes facets?
  • Which package can you use for extra themes and color scales for ggplot2?
  • Which function should you use if you want to add markers to display a specific location on a map that you draw?
  • Which two methods can be used to create scatter plots?
  • What is a leaflet?
  • The R command df %>% leaflet() %>% addTiles() is equivalent to what?
  • If I want to add popup icons to my leaflet map in R, I should use?
  • What is a histogram?
  • How do you add titles and labels to figures you create with plot()?
  • By default, what is the first argument in the plot() function?
  • Which of these statements about qplot() is NOT correct?
  • Load the `airquality’ dataset from the datasets package in R
    library(datasets)
    data(airquality)
    I am interested in examining how the relationship between ozone and wind speed varies across each month. What would be the appropriate code to visualize that using ggplot2?
  • The geom argument takes a string for a value.
  • Lattice plots are constructed with a single function call to a core lattice function (e.g. xyplot)
  • The lattice system is ideal for creating conditioning plots where you examine the same kind of plot under many different conditions.
  • The lattice system, like the base plotting system, returns a trellis plot object

MS Excel Quiz Questions

MCQs R Basics Quiz 26

The post is about the “MCQs R Basics Quiz” which will help you check your ability to execute some basic or R Language, RStudio, Jupyter Notebook, and Google Colab. This quiz will help the learner to understand some basic concepts related to R Programming Language. This quiz may also improve your computational understanding, and it will also help you to learn and practice the MCQs R Basics Quiz now.

Online MCQs R Basics Quiz with Answers
Please go to MCQs R Basics Quiz 26 to view the test

Online MCQs R Basics Quiz with Answers

  • Which of the following most accurately describes R?
  • Which of the following correctly describes the relationship between RStudio and R?
  • Which of these is the easiest way to save R code that you write for future use?
  • After you finish the trial period, R will cost hundreds of dollars to use, depending on the license you purchase.
  • You need to carefully learn and understand all the details about how R works before you start coding.
  • Are cheat sheets trustworthy guides for how to use R and RStudio?
  • What does this line of code do in R? a <- 2+2
  • Will R return a value of true or false if you evaluate this expression? “apple”==”appla”
  • What will happen if you try to run this line of code in R? 10variable1 <- c(5, 19, 10, “apple”)
  • In R, create the following object: test_vector <- c(“dog”, “fish”, “pig”, “parrot”). After you create the object, what do you get if you then run test_vector[4]?
  • What value will this return?
    subtract_and_divide <- function(x, y){
    x – y
    x / y
    }
    subtract_and_divide(4, 8)
  • What happens if you run this code? data.frame(alpha,beta)
  • What part of the data frame “states” does this code call? states[15,2]
  • Say you have a data frame named “inventory” with 3 rows and two columns, created like this:
    home <- c(“computer”, “calculator”, “scanner”)
    office <- c(“paper”, “pens”, “pencils”)
    inventory <- data.frame(home, office)
    What would happen if you ran this code? inventory$annex <- c(“printer”, “stapler”)
  • How many working directories can you have set simultaneously in an R session?
  • Is it easier to import rectangular or non-rectangular data into R?
  • You want to access the “Date” column of a data frame called sales_data so you can operate on it. What is the correct way to refer to this column?
  • What does the class() function do in R?
  • Why is it helpful to be able to use functions like rnorm, rpois, rbinom, and runif?
  • What is the easiest way to export a figure you create in RStudio?

MCQs Deep Learning Quiz

R Language Shiny App Quiz 25

The post contains a list of R Language Shiny App Quiz Questions with Answers. There are 20 multiple-choice question about shiny app and dashboard. Let us start with the R Language Shiny App Quiz now.

R Language Shiny App Quiz with answers
Please go to R Language Shiny App Quiz 25 to view the test

R Language Shiny App Quiz with Answers

  • What is the maximum number of bins for sliderInput()?
  • What is the purpose of the shinyApp() function?
  • What software is most typically used to write and run a Shiny App?
  • Which objects must be created in a Shiny app to create a Shiny application with input and output?
  • Which of these most closely reflects the basic purpose of Shiny?
  • What is the role of the fluidPage() function in a Shiny application?
  • What is the first argument in any input function in Shiny, e.g., sliderInput(), selectInput(), numericInput()?
  • Say you use a function like sliderInput to have the user input some information into a Shiny application. You assign the inputId to “my_input”. How do you call that input in the server function?
  • What is the purpose of plotOutput()?
  • What is the purpose of the renderPlot() function?
  • Which of these are appropriate ways to run a Shiny app?
  • Which of the following are necessary for creating a functioning shiny app?
  • What are the main differences between creating a Shiny Gadget and creating a regular Shiny App?
  • If you want to share flexdashboard with someone, which of these are available options?
  • Suppose, you are writing a Shiny app and want users to be able to move a slider to select a single value between 1 and 5. The slider will start at 3. You want the value selected on the slider to be assigned to the input slot “slider_value.” Which of these is the correct code?
  • Suppose, you are writing a Shiny app and want to create a dropdown menu that allows users to select from a set of options, which you are going to use to filter results in a Shiny app. You want users to be able to select from the values, “Company A”, “Company B”, and “Company C”. You want to assign this to the “company” input slot. Which is the correct code?
  • Suppose, you are writing a Shiny app and want a user to be able to input text into a textbox, assigning the input to an input slot named “user_name”. You want the textbox to be automatically populated with the character string “Your name here”, which the user can overwrite. Which is the correct code?
  • Suppose, you are writing a Shiny app and want to display a table for a data frame or tibble in the user interface of your Shiny app. The only lines you have written in your code so far are:
    my_dat<-read_csv(“my_dat.csv”)
    ui<-fluidPage(tableOutput(“table1”))
    server<-function(input,output){ }
    Which of the following lines of code could you put inside the brackets of the server function to create a table of the data frame?
  • Which of the following statements will install shiny?
  • All of the styled elements are handled through the server.R.

SPSS and Data Analysis