Curious how to plot this dotplot using ggplot or plotly library functions. Also label the mpg values on individual dots.
# Dotplot: Grouped Sorted and Colored
# Sort by mpg, group and color by cylinder
x <- mtcars[order(mtcars$mpg),] # sort by mpg
x$cyl <- factor(x$cyl) # it must be a factor
x$color[x$cyl==4] <- "red"
x$color[x$cyl==6] <- "blue"
x$color[x$cyl==8] <- "darkgreen"
dotchart(x$mpg,labels=row.names(x),cex=.7,groups= x$cyl,
main="Gas Milage for Car Models\ngrouped by cylinder",
xlab="Miles Per Gallon", gcolor="black", color=x$color)
With a quick clean up of the rownames to be a column you can do the following.
We used factor()
for the aesthetics for color so that it becomes discrete/
When faceting to acheive this look you need to specify "free_y"
for scale
and space
.
library(tidyverse)
mtcars2 = rownames_to_column(mtcars, "car")
ggplot(mtcars2, aes(x = mpg, y = factor(car), color = factor(cyl))) +
geom_point(shape = 1) +
facet_grid(cyl ~ ., scales = "free_y", space = "free_y") +
theme_bw() +
theme(panel.grid = element_blank(),
panel.grid.major.y = element_line(size=.1, color="grey90"),
legend.position = "none") +
ggtitle("Gas Milage for Car Models\ngrouped by cylinder") +
xlab("Miles Per Gallon") +
ylab("")
ggplot(mtcars2, aes(x = mpg, y = factor(car), color = factor(cyl))) +
geom_point(shape = 1) +
geom_text(aes(label = mpg), colour = "grey40", size = 3, hjust = -0.3) +
facet_grid(cyl ~ ., scales = "free_y", space = "free_y") +
theme_bw() +
theme(panel.grid = element_blank(),
panel.grid.major.y = element_line(size=.1, color="grey90"),
legend.position = "none") +
ggtitle("Gas Milage for Car Models\ngrouped by cylinder") +
xlab("Miles Per Gallon") +
ylab("")
You can probably use geom_label
instead but geom_text
works great here.