The following data has been loaded into R Studio.

str(actors)
## 'data.frame': 10 obs. of 2 variables:
## $ Actor : Factor w/ 10 levels "Adam Sandler",..: 6 5 9 2 7 3 1 4 8 10
## $ X2019Income: num 89.4 76.4 66 65 58 57 57 43.5 41 35

Which code would produce a boxplot of X2019Income?

Question

The following data has been loaded into R Studio.

str(actors)
## 'data.frame':    10 obs. of  2 variables:
##  $ Actor      : Factor w/ 10 levels "Adam Sandler",..: 6 5 9 2 7 3 1 4 8 10
##  $ X2019Income: num  89.4 76.4 66 65 58 57 57 43.5 41 35

Which code would produce a boxplot of X2019Income?

BlackTom AI · Accepted Answer

The question asks which R code would produce a boxplot of the X2019Income variable from the actors data frame. 
First, recall that to plot a numeric variable with a boxplot using ggplot2, you typically specify the data frame in ggplot(), map the numeric variable to the y aesthetic (or x, depending on orientation), and add geom_boxplot(). In a standard vertical boxplot using ggplot2, you commonly do ggplot(data, aes(y = numeric_variable)) + geom_boxplot().

Option 1:
library(tidyverse)

ggplot(actors,aes(X2019Income)) + geom_boxplot()

- Here, ggplot is given the aesthetics as aes(X2019Income) without naming the axis (neither x nor y). In the typical syntax, you would either map a variable to x or to y using aes(x = ...) or aes(y = ...). However, ggplot2 is flexible, and providing a single numeric mapping like aes(X2019Income) is interpreted as mapping to the x aesthetic by default when placed inside aes(), which results in a horizontal boxplot. Nonetheless, since the goal is a boxplot of X2019Income, this often still yields a boxplot, albeit with orientation that might be sideways. The addition of geom_boxplot() is correct. Overall, this option is the closest to the correct approach and is commonly used in practice when the variable is mapped directly.

Option 2:
library(tidyverse)
ggplot(actors$X2019Income) + geom_boxplot()

- Here, ggplot is being called with a vector (the X2019Income column) instead of a data frame. ggplot requires a data frame (or tibble) as its first argument; passing a numeric vector breaks the expected structure and will not produce a boxplot, or it will produce an error. This is incorrect usage for ggplot2.

Option 3:
library(tidyverse)

ggplot(actors,aes(x=X2019Income),boxplot)

- This option attempts to map X2019Income to the x-axis, which is fine, but the syntax includes a stray argument boxplot that does not belong to ggplot2’s API (there is no boxplot parameter for ggplot()). Additionally, while mapping to x is acceptable, the intended layer to draw the boxplot (geom_boxplot()) is missing. Therefore, this will either fail due to the invalid argument or fail to draw the desired boxplot.

Option 4:
library(tidyverse)

ggplot(actors,aes(x=X2019Income)) + geom_boxplot

- This option correctly constructs a ggplot object with the aesthetic mapping for x, but it omits the parentheses after geom_boxplot. geom_boxplot is a function and must be called with parentheses to add the layer (i.e., + geom_boxplot()), not referenced as a bare function. Because of this, the command will not execute as intended and will fail to produce the boxplot.

In summary, Option 2 is invalid due to supplying a vector instead of a data frame. Option 3 is invalid due to an extraneous argument and missing geom_boxplot() layer. Option 4 is close but syntactically incorrect because the geom_boxplot layer is not invoked as a function. Option 1, while slightly unconventional in its aes() mapping (without specifying x or y), is the only one that follows the standard approach of adding geom_boxplot() to a ggplot object for a boxplot of the X2019Income variable, and is the one most likely to produce the desired boxplot in practice.

The following data has been loaded into R Studio. str(actors) ## 'data.frame': 10 obs. of 2 variables: ## $ Actor : Factor w/ 10 levels "Adam Sandler",..: 6 5 9 2 7 3 1 4 8 10 ## $ X2019Income: num 89.4 76.4 66 65 58 57 57 43.5 41 35 Which code would produce a boxplot of X2019Income?单项选择题

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