Developing Data Products and Working with NumPy

This quiz contains multiple-choice problems and answers on Shiny, Slidify, Google Vis and NumPy.

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Which of the following projects is used for calling R products from web?

OpenCPU

OpenDisk

OpenMem

All of the above

Which of the following statements will install Shiny?

install.packages(“shiny”)

install.library(“shiny”)

install.lib(“shiny”)

All of the above

Which of the following can be done using Shiny?

Tabbed main panels

Editable data tables

Dynamic UI

All of the above

Which of the following functions can interrupt executions and can be called continuously?

browser()

browse()

search()

All of the above

runApp() will run Shiny and open the browser window. True or false?

True

False

Which of the following functions is for the single checkbox widget?

checkboxInput

dateInput

singleboxInput

All of the above

How many components are involved in Shiny?

None of the above

All of the styled elements are handled through server.R. True or false?

True

False

Which of the following is the R interface to Google Charts?

googleVis

googleChart

googleDataVis

All of the above

Which of the following creates a Google Gadget based on a Google Visualization Object?

createGadget

createGoogleGadget

newGoogleGadget

All of the above

Which of the following reads a data.frame and creates text output referring to the Google Visualization API?

gvisAnnotatedLine

gvisTimeLine

gvisAnnotatedTimeLine

None of the above

Which of the following is used for creating interacting tables?

gvisGeoChart

gvisTable

gvisLineChart

All of the above

gvisAnnotatedTimeLine returns lists of classes “gvis” and “list”. True or false?

True

False

The web browser's actual chart of gvisBarChart is rendered using __ or VML.

JPEG

SVG

PDF

All of the above

Which of the following is used for creating tree maps?

gvisGeoChart

gvisTable

gvisTreeMap

All of the above

Quiz/Test Summary

Title: Developing Data Products and Working with NumPy

Questions: 15

Contributed by:

Ivan Tue, Apr 05, 2022 08:17 AM UTC

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