Data Science Literate Statistical Programming 1 Online Exam Quiz
Data Science Literate Statistical Programming 1 GK Quiz. Question and Answers related to Data Science Literate Statistical Programming 1. MCQ (Multiple Choice Questions with answers about Data Science Literate Statistical Programming 1
Which of the following is required to implement a literate programming system?
Options
A : A programming language like Perl
B : A programming language like Java
C : A programming language like R
D : All of the mentioned
Which of the following should be set on chunk by chunk basis to store results of computation?
Options
A : cache=TRUE
B : cache=FALSE
C : caching=TRUE
D : none of the mentioned
Which of the following is a goal of literate statistical programming?
Options
A : Combine explanatory text and data analysis code in a single document
B : Ensure that data analysis documents are always exported in JPEG format
C : Require those data analysis summaries are always written in R
D : None of the mentioned
What does it mean to weave a literate statistical program?
Options
A : Convert a program from S to python
B : Convert the program into a human readable document
C : Convert a program to decompress it
D : All of the mentioned
Which of the following tool can be used for integrating text and code in one document?
Options
A : knitr
B : ggplot2
C : NumPy
D : None of the mentioned
What is one way in which the knitr system differs from Sweave?
Options
A : knitr allows for the use of markdown instead of LaTeX
B : knitr is written in python instead of R
C : knitr lacks features like caching of code chunks
D : none of the mentioned
Which of the following is useful way to put text, code, data, output all in one document?
Options
A : Literate statistical programming
B : Object oriented programming
C : Descriptive programming
D : All of the mentioned
What is the role of processing code in the research pipeline?
Options
A : Transforms the analytical results into figures and tables
B : Transforms the analytic data into measured data
C : Transforms the measured data into analytic data
D : All of the mentioned
Dependencies are checked explicitly in caching caveats.
Options
A : True
B : False
C :
D :
Some chunks have to be re-computed every time you re-knit the file.
Options
A : True
B : False
C :
D :
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