Data Science

Literate Statistical Programming

Question 1
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 2
Marks : +2 | -2
Pass Ratio : 100%
Point out the correct statement.
An article is stream of code and text
Analysis code is divided in to code chunks only
Literate programs are tangled to produce human readable documents
None of the mentioned
Explanation:
Analysis code is divided in to code chunks and text.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
Literate program code is live-automatic “regression test” when building a document.
True
False
Explanation:
Data and results are automatically updated to reflect external changes.
Question 4
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 5
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 6
Marks : +2 | -2
Pass Ratio : 100%
What is one way in which the knitr system differs from Sweave?
knitr allows for the use of markdown instead of LaTeX
knitr is written in python instead of R
knitr lacks features like caching of code chunks
none of the mentioned
Explanation:
knitr is an engine for dynamic report generation with R.
Question 7
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.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
What does it mean to weave a literate statistical program?
Convert a program from S to python
Convert the program into a human readable document
Convert a program to decompress it
All of the mentioned
Explanation:
Literate Statistical Programming can be done with knitr.
Question 9
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 10
Marks : +2 | -2
Pass Ratio : 100%
knitr supports only one documentation language.
True
False
Explanation:
knitr supports various documentation languages.