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%
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 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%
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 5
Marks : +2 | -2
Pass Ratio : 100%
Which of the following disadvantage does literate programming have?
Slow processing of documents
Code is not automatic
No logical order
All of the mentioned
Explanation:
Code and text is in one place.
Question 6
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 7
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 8
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 9
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 10
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.