Horizontal Barplot in ggplot2

Question

I was working on doing a horizontal dot plot (?) in ggplot2 , and it got me thinking about trying to create a horizontal barplot. However, I am finding some limitations in being able to do this.

Here is my data:

df <- data.frame(Seller=c("Ad","Rt","Ra","Mo","Ao","Do"), 
                Avg_Cost=c(5.30,3.72,2.91,2.64,1.17,1.10), Num=c(6:1))
df
str(df)

Initially, I generated a dot plot using the following code:

require(ggplot2)
ggplot(df, aes(x=Avg_Cost, y=reorder(Seller,Num))) + 
    geom_point(colour="black",fill="lightgreen") + 
    opts(title="Avg Cost") +
    ylab("Region") + xlab("") + ylab("") + xlim(c(0,7)) +
    opts(plot.title = theme_text(face = "bold", size=15)) +
    opts(axis.text.y = theme_text(family = "sans", face = "bold", size = 12)) +
    opts(axis.text.x = theme_text(family = "sans", face = "bold", size = 12))

However, I am now trying to create a horizontal barplot and finding that I am unable to do so. I've tried coord_flip() and that was not helpful either.

ggplot(df, aes(x=Avg_Cost, y=reorder(Seller,Num))) + 
    geom_bar(colour="black",fill="lightgreen") + 
    opts(title="Avg Cost") +
    ylab("Region") + xlab("") + ylab("") + xlim(c(0,7)) +
    opts(plot.title = theme_text(face = "bold", size=15)) +
    opts(axis.text.y = theme_text(family = "sans", face = "bold", size = 12)) +
    opts(axis.text.x = theme_text(family = "sans", face = "bold", size = 12)) 

Can anyone provide some assistance on how to generate a horizontal barplot in ggplot2 ?

Answer 1

ggplot(df, aes(x=reorder(Seller, Num), y=Avg_Cost)) +
  geom_bar(stat='identity') +
  coord_flip()

Without stat='identity' ggplot wants to aggregate your data into counts.

Answer 2

As off ggplot2 version 3.3.0 (March 2020) the direction is deducted from the aesthetic mapping. Hence we can simplify @Justin's and @ungatoverde code to

library(ggplot2)
ggplot(df,
       aes(x = Avg_Cost,
           y = reorder(Seller, Num)
           )
       ) +
  geom_col()

Reference: https://www.tidyverse.org/blog/2020/03/ggplot2-3-3-0/#bi-directional-geoms-and-stats

Answer 3

ggplot(df, aes(x=reorder(Seller, Num), y=Avg_Cost)) +
  geom_col()

This might be an alternative