How to plot a one column data frame with ggplot?

Question

I have a data frame like this:

 __________
|   | sums |
|---+------|
| a | 122  |
|---+------|
| b | 23   |
|---+------|
| c | 321  |
|__________|

*Notice "a","b" and "c" are row names.

I would like to see a plot like this:

                    ___
300 -|             |   |
200 -|  ___        |   |
100 -| |   |  ___  |   |
  0 -|_|___|_|___|_|___|______
         a     b     c

How can I accomplish that?

Answer 1

Add the rownames as a column in the data frame and then plot. Here's an example with the built-in mtcars data frame:

library(tibble)
library(ggplot2)

ggplot(rownames_to_column(mtcars[1:3,], var="Model"), 
       aes(x=Model, y=mpg)) +
  geom_bar(stat="identity") +
  theme(axis.text.x=element_text(angle=-90, vjust=0.5, hjust=0))

Answer 2

Just try this:

df
   sums
a  122
b   23
c  321

library(ggplot2)
ggplot(df, aes(x=rownames(df), sums)) + geom_bar(stat='identity')