Data Science Questions and Answers – Literate Statistical Programming – 2

This set of Data Science Multiple Choice Questions & Answers (MCQs) focuses on “Literate Statistical Programming – 2”.

1. Original idea comes of Literate Statistical Practice from _______________
a) Don Knuth
b) Don Cutting
c) Douglas Cutting
d) All of the mentioned
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2. Point out the correct statement.
a) An article is stream of code and text
b) Analysis code is divided in to code chunks only
c) Literate programs are tangled to produce human readable documents
d) None of the mentioned
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3. Which of the following is required for literate programming?
a) documentation language
b) mapper language
c) reducer language
d) all of the mentioned
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4. Which of the following is required to implement a literate programming system?
a) A programming language like Perl
b) A programming language like Java
c) A programming language like R
d) All of the mentioned
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5. Which of the following way is required to make work reproducible?
a) keep track of things
b) Save output
c) Save data in proprietary formats
d) None of the mentioned
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6. Which of the following disadvantage does literate programming have?
a) Slow processing of documents
b) Code is not automatic
c) No logical order
d) All of the mentioned
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7. knitr supports only one documentation language.
a) True
b) False
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8. Which of the following tool documentation language is supported by knitr?
a) RMarkdown
b) LaTeX
c) HTML
d) None of the mentioned
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9. Which of the following package by Yihui is built in to RStudio environment?
a) rpy2
b) knitr
c) ggplot2
d) none of the mentioned
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10. Literate program code is live-automatic “regression test” when building a document.
a) True
b) False
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