Data Science

Literate Statistical Programming

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Dependencies are checked explicitly in caching caveats.
True
False
Explanation:
Dependencies are not checked explicitly in caching caveats.
Question 2
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 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 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%
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 6
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 7
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 8
Marks : +2 | -2
Pass Ratio : 100%
knitr supports only one documentation language.
True
False
Explanation:
knitr supports various documentation languages.
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 tool documentation language is supported by knitr?
RMarkdown
LaTeX
HTML
None of the mentioned
Explanation:
knitr is available on CRAN.