mPR“`r
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library(readr)
library(ggplot2)
library(ggfortify)
library(dplyr)
data <- read_csv(“mpg.csv”)
Create visualization
ggplot(data, aes(x = displ,
y = hwy,
fill = class)) +
geom_boxplot() +
labs(x = “Displacement”,
y = “Highway Mileage”,
title = “Highway Mileage vs. Displacement”)
“The provided R code uses theggplot2andggfortify` packages to create a boxplot visualizing the relationship between highway mileage and displacement for different classes of vehicles.
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The data set is read using the read_csv() function, assuming that it is a comma-separated value (CSV) file named “mpg.csv.”
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The ggplot() function is used to initialize the ggplot2 plot, specifying the data frame and the aesthetic mappings for the x and y axes (displ and hwy, respectively) as well as the fill color (class).
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The geom_boxplot() function is used to create a boxplot with boxes representing the interquartile range (IQR), a middle line at the median, and whiskers extending to the most extreme data points within 1.5 times the IQR.
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The labs() function is used to set the labels for the x and y axes, as well as the plot’s title.
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