Data Visualization with R | Week 3

Course link : https://www.coursera.org/learn/data-visualization-r

These are answers for Data Visualization with R Week 3

Practice Quiz – 1

1. Which two components of a dashboard happen on the back end?

Interact

Visualize

Serve

Analyze

2. Which is the preferred method for creating a Shiny app?

One file for all server and UI code.

Both methods work the same so one is not preferred over the other.

Separate code into server.R and ui.R files.

3. True or False: You must include the shinyApp() function in the code for all Shiny apps.

True

False

4. Which function creates an empty layout?

mainPanel()

sidebarLayout()

shinyUI()

fluidPage()


These are answers for Data Visualization with R Week 3

Graded Quiz – 1

1. True or False: A Shiny app consists of two parts, the server that the user interacts with and the UI that powers the app.

True

False

2. Which two components of a dashboard happen on the front end?

Serve

Interact

Analyze

Visualize

3. Complete the sentence: You use the Layout functions to organize ____________________ containing user interface elements in the application.

Layouts

Panels

Inputs

Outputs

4. When defining the server logic for a Shiny app, you define a function that includes which of the following parameters?

input, response

input, output

input, renderPlot

input, plotOutput


These are answers for Data Visualization with R Week 3

Practice Quiz – 2

1. If you have the command plotOutput(“plot_histogram”) in the UI-side code in your Shiny application, what is the name of the variable that you assign the plot to in the server-side code?

plot_histogram

output$plot_histogram

output(plot_histogram)

input$plot_histogram

2. Can you publish a Shiny app to your shinyapps.io account from RStudio?

See also  Data Science Using R ‘Value Added’ (Assignment 3)

Yes, you can do this using the built-in capabilities of RStudio.

No, you cannot publish a Shiny app to shinyapps.io from RStudio.

Yes, but only if you install the rsconnect package first.

Yes, but only if you install the shiny package first.

3. What is the process to convert an R Markdown file to an HTML, PDF, or Microsoft Word document?

Append

Join

Knit

Weave


These are answers for Data Visualization with R Week 3

Graded Quiz – 2

1. In a Shiny application, where do you add input widgets?

A panel.

A tabset panel.

A layout.

A title panel.

2. Which deployment method should you select for your Shiny app if you do not want to run your own server?

Shiny Server

shinyapps.io

RStudio Connect

None of these options

3. What are the two main differences between an R Markdown document and a Shiny dashboard?

A dashboard is reusable, while an R Markdown file can only be generated once.

A dashboard can be interactive, while an R Markdown document is static.

A dashboard always reflects current data, while an R Markdown document produces a snapshot of the data at the time the report is generated.

A dashboard can contain text, images, plots, and other information, while an R Markdown document contains only easy-to-write plain text.



These are answers for Data Visualization with R Week 3

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