Data Science

Literate Statistical Programming

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Which of the following tool documentation language is supported by knitr?
RMarkdown
LaTeX
HTML
None of the mentioned
Explanation:
knitr is available on CRAN.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Which of the following is required to implement a literate programming system?
A programming language like Perl
A programming language like Java
A programming language like R
All of the mentioned
Explanation:
R is a language and environment for statistical computing and graphics.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
Which of the following should be set on chunk by chunk basis to store results of computation?
cache=TRUE
cache=FALSE
caching=TRUE
none of the mentioned
Explanation:
After the first run. The results are loaded from cache.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
Which of the following is useful way to put text, code, data, output all in one document?
Literate statistical programming
Object oriented programming
Descriptive programming
All of the mentioned
Explanation:
Object-oriented programming is a programming language model organized around objects rather than “actions” and data rather than logic.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Some chunks have to be re-computed every time you re-knit the file.
True
False
Explanation:
All chunks have to be re-computed every time you re-knit the file.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Which of the following is a goal of literate statistical programming?
Combine explanatory text and data analysis code in a single document
Ensure that data analysis documents are always exported in JPEG format
Require those data analysis summaries are always written in R
None of the mentioned
Explanation:
Literate Statistical Practice is a programming methodology.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
knitr supports only one documentation language.
True
False
Explanation:
knitr supports various documentation languages.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
What is the role of processing code in the research pipeline?
Transforms the analytical results into figures and tables
Transforms the analytic data into measured data
Transforms the measured data into analytic data
All of the mentioned
Explanation:
Data science workflow is a non-linear, iterative process.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
Which of the following package by Yihui is built in to RStudio environment?
rpy2
knitr
ggplot2
none of the mentioned
Explanation:
It can be exported to pdf and html.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Which of the following way is required to make work reproducible?
keep track of things
Save output
Save data in proprietary formats
None of the mentioned
Explanation:
Save data in NON proprietary formats to make work reproducible.