Data Manipulation with dplyr MCQ question and answer with solution | R Programming MCQs

A. gather() makes "long" data wider

B. tidyr is a reframing of reshape designed to accompany the tidy data framework

C. there are two fundamental verbs of data tidying

D. tidyr and dplyr packages do not make use of the pipe operator

A. Don't plot more than two variables at at time

B. Make judicious use of color in your scatterplots

C. Show box plots (univariate summaries)

D. Show causality, mechanism, explanation

A. parallel

B. statistics

C. distributed

D. symmetry

A. 0.9772499

B. 1.9772499

C. 0.6772499

D. 2.6772499

A. xyplot

B. dotplot

C. barchart

D. bwplot

A. ggmissplot

B. printplot

C. print.ggplot

D. ggfluctuation

A. aes_position

B. aes_group_order

C. aes_linetype_size_shape

D. ggorder

A. [1] 0.01874617 -0.18425254 -1.37133055 -0.59916772 0.29454513
[6] 0.38979430 -1.20807618 -0.36367602 -1.62667268 -0.25647839

B. [1] 22.20356 21.51156 19.52353 21.97489 21.48278 20.17869 18.09011
[8] 19.60970 21.85104 20.96596

C. Min. 1st Qu. Median Mean 3rd Qu. Max.
18.09 19.75 21.22 20.74 21.77 22.20

D. Error

A. Rprof() is used to turn off the profiler

B. At each line of the output, the profiler writes out the function call stack

C. The summaryprof() function tabulates the R profiler output

D. The Rprofiler() function starts the profiler in R

A. lm.time()

B. lm.date()

C. lm.fit()

D. lm.interval()