Plotting multiple recorded values in R - r

Question

I have a csv file that looks like this:
Specialty, Recording 1, Recording 2, Recording 3
A, 100%, 200%, 300%
B, 50%, -75%, 150%
C, 60%, 100%, -25%
I would like to plot them on a graph so that it looks like this:
I believe I can do so with this:
ggplot(data2, aes(x=Recording 1, y=Specialty)) + geom_point()
How do I add Recording 2 and 3 to the same graph?

Answer 1

If that is example what the data looks like, I recreated it here for my answer.
Example data
structure(list(Specialty = structure(1:3, .Label = c("A", "B",
"C"), class = "factor"), Recording.1 = structure(1:3, .Label = c("100%",
"50%", "60%"), class = "factor"), Recording.2 = structure(c(3L,
1L, 2L), .Label = c("-75%", "100%", "200%"), class = "factor"),
Recording.3 = structure(3:1, .Label = c("-25%", "150%", "300%"
), class = "factor")), class = "data.frame", row.names = c(NA,
-3L))
First, since the data has %'s you will need to remove that. ggplot needs numeric values to plot. NOTE: since you columns titles have spaces in them they need to be in
df$`Recording 1` <- as.numeric(sub("%", "", df$`Recording 1`))
df$`Recording 2` <- as.numeric(sub("%", "", df$`Recording 2`))
df$`Recording 3` <- as.numeric(sub("%", "", df$`Recording 3`))
library(ggplot2)
library(reshape2)
You can then use reshape2 so you can plot everyone together.
df <- melt(df, id.vars='Specialty')
After that, you should be good to go to make the plot
ggplot(df, aes(x=value, y=Specialty, fill=variable, color=variable)) + geom_point(stat='identity') + scale_x_continuous(name = "whatever (%)", limit = c(-100, 300))
or to add percent in the x-axis
library(scales)
ggplot(df, aes(x=value, y=Specialty, fill=variable, color=variable)) + geom_point(stat='identity') + scale_x_continuous(labels = percent_format(scale = 1), name = "whatever (%)", limit = c(-100, 300))
Here is the output
With percents in x-axis

Answer 2

I've made you an example data set. I've assumed you don't have the "%" in the dataset and the fields are numeric. We add the "%" to the x-axis label using the scales package. Point here is to first make your data long with pivot_longer.
library(dplyr)
library(tidyr)
library(ggplot2)
library(scales)
df <- data.frame(Specialty = c("A", "B", "C"),
Recording_1 = c(100, 50, 60),
Recording_2 = c(200, -75, 100),
Recording_3 = c(300, 150, -25))
df %>%
pivot_longer(cols = !Specialty, names_to = "Recording",
values_to = "Value") %>%
ggplot(aes(x = Value, y = Specialty)) +
geom_point(aes(shape = Recording, color = Recording), size = 3)+
scale_y_discrete(limits = rev)+ #reverses A,B,C order
scale_x_continuous(labels = percent_format(scale = 1)) +
theme_classic()
Here is what the output looks like.