I have data that looks like this:
phase_f share
1: Conceptualization 0.5000000
2: Growth 0.6666667
3: Idea 0.2777778
4: Incubation 0.8333333
and I want to plot that data into a plot that takes a point for for the shares and these dots should be connected by a line.
I tried the following code:
test <- ggplot(aes(y = phase, x = share) +
geom_point() +
geom_line()+
labs(x= "% of answers", y = "")
This gives me the following plot 1:

It works very nicely, but I want the line between the dots to connect adjacent categories, that is, idea to conceptualization to incubation to growth. In the example, I want to erase the connection between Idea and incubation and instead have the line between conceptualization and incubation as manually corrected here:
If I switch x- and y-axis, this works – each category is connected to the adjacent categories (plot 2):

How do I have to adjust my code so that I keep the x- and y-axis as in plot 1 but keep the order of the connections as in plot 2?
Thanks so much in advance for your support.
>Solution :
Try using geom_path instead of geom_line with group = 1.
From the documentation (?geom_line):
geom_path() connects the observations in the order in which they appear in the data. geom_line() connects them in order of the variable on the x axis
library(ggplot2)
df <- read.table(header = T, text = "phase_f share
Conceptualization 0.5000000
Growth 0.6666667
Idea 0.2777778
Incubation 0.8333333")
ggplot(df, aes(y = phase_f, x = share, group = 1)) +
geom_point() +
geom_path() +
labs(x= "% of answers", y = "")

Created on 2022-04-12 by the reprex package (v2.0.1)
