Data Manipulation With Dplyr — Part 2 MCQs with Explanations

rename(vars(old_name = new_name)) is the correct answer to “How do you rename a column named old_name to new_name in dplyr”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

Creates a new data frame with only the specified columns is the correct answer to “In dplyr, what is the purpose of the transmute() function”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

mutate(percentage_sales = sales / sum(sales) * 100) is the correct answer to “How do you calculate the percentage of total sales for each category in dplyr”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

Transforms wide data to long format is the correct answer to “What is the purpose of the pivot_longer() function in dplyr”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

filter(variable != value) is the correct answer to “How do you filter rows where a specific variable is not equal to a given value using filter() in dplyr”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

ggorder is the correct answer to “Which of the following is a plot to investigate the order in which observations were recorded”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

ggmissing is the correct answer to “Which of the following creates fluctuation plot”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

seven is the correct answer to “How many functions exist for wrangling the data with dplyr package”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

NULL is the correct answer to “The profiler can be turned off by passing . . . . . . . . to Rprof().”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

trellis.par.set() is the correct answer to “which of the following functions can be used to finely control the appearance of all lattice plots”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

rbinom() is the correct answer to “. . . . . . . . function is used to simulate binary random variables.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

geom_contour is the correct answer to “. . . . . . . . display contours of a 3d surface in 2d.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

+.gg is the correct answer to “. . . . . . . . modify a ggplot or theme object by adding on new components.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

three is the correct answer to “How many functions exist for tidying the data”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

separate() is the correct answer to “. . . . . . . . uses regex groups instead of a splitting pattern or position.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

aes is the correct answer to “. . . . . . . . generate aesthetic mappings that describe how variables in the data.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

Construct the plot on the screen device and then copy it to a PDF file with dev.copy2pdf() is the correct answer to “If I want to save a plot to a PDF file, which of the following is a correct way of doing that”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

SVG is the correct answer to “Which of the following is an example of a vector graphics device in R”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

longer is the correct answer to “You can time . . . . . . . . expressions by wrapping them in curly braces within the call to system.time().”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

bwplot is the correct answer to “. . . . . . . . produces box-and-whisker plots.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

rel is the correct answer to “. . . . . . . . is used for relative sizing of theme elements.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

two is the correct answer to “How many methods exist for normalizing the data”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

rpois is the correct answer to “. . . . . . . . generate random Poisson variates with a given rate.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

Profiling is the correct answer to “. . . . . . . . is a systematic way to examine how much time is spent in different parts of a program.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

Gaussian is the correct answer to “. . . . . . . . is the most common probability distribution to work with.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

panel.superpose is the correct answer to “. . . . . . . . is used to determine what is plotted for each group.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

Show causality, mechanism, explanation is the correct answer to “Which of the following is a principle of analytic graphics”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

parallel is the correct answer to “Parallel processing is done via . . . . . . . . package can make the elapsed time smaller than the user time.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

0.9772499 is the correct answer to “What will be the output of the following R code? > pnorm(2)”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

xyplot is the correct answer to “. . . . . . . . produces bivariate scatterplots or time-series plots.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

print.ggplot is the correct answer to “Which of the following draws plot on current graphics device”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

aes_linetype_size_shape is the correct answer to “Which of the following is a differentiation related aesthetic”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

Min. 1st Qu. Median Mean 3rd Qu. Max. 18.09 19.75 21.22 20.74 21.77 22.20 is the correct answer to “What will be the output of the following R code? > x <- rnorm(10) > summary(x)”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

lm.fit() is the correct answer to “Which of the following function actually fits the linear model”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

aes_string is the correct answer to “. . . . . . . . generate aesthetic mappings from a string.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

stripplot is the correct answer to “. . . . . . . . produces one-dimensional scatterplots.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

autoplot is the correct answer to “. . . . . . . . create a complete ggplot appropriate to a particular data type.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

ggplot2 is the correct answer to “. . . . . . . . grammar makes a clear distinction between your data and what gets displayed on the screen or page.”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

panel.abline() is the correct answer to “Annotation of plots in any plotting system involves adding points, lines, or text to the plot, in addition to customizing axis labels or adding titles. Different plotting systems have different sets of functions for annotating plots in this way. Which of the following functions can be used to annotate the panels in a multi-panel lattice plot”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.

int [1:100] 1 0 0 1 0 0 0 0 1 0 ... is the correct answer to “What will be the output of the following R code? > set.seed(10) > x <- rbinom(100, 1, 0.5) > str(x)”. This question is standard in competitive examination syllabi for Data Manipulation With Dplyr.