I need to graph a flipped histogram (i.e. count on x-axis, values on y) but with the count ascending to the left rather than the right

So the mirror image of this

iris %>%
  group_by(Sepal.Length) %>%
    summarise(count = n()) -> histBar

ggplot(data = histBar,
       mapping = aes(x = Sepal.Length,
                     y = count)) +
       geom_bar(stat = "identity") +
       coord_flip()

Any help much appreciated

If you reverse the axis sense the bars will still start at zero but now the zero is on the other side of the plot.
Other changes I have made are:

• summarise has an argument .by, group_by is no longer needed;
• whenever you have both x and y coordinates, geom_col does what geom_bar does but with no need for stat = "identity";
• I have added a breaks argument since counts are integers, therefore, discrete.

suppressPackageStartupMessages(library(tidyverse))

iris %>%
  summarise(count = n(), .by = Sepal.Length) -> histBar

ggplot(data = histBar,
       mapping = aes(x = Sepal.Length, y = count)) +
  geom_col() +
  coord_flip() +
  scale_y_reverse(breaks = 0:12)

^{Created on 2024-09-07 with reprex v2.1.0}

Off-topic?

A plot going down just for fun.

iris %>%
  summarise(count = n(), .by = Sepal.Length) %>%
  ggplot(aes(x = Sepal.Length, y = count)) +
  geom_col() +
  scale_y_reverse(breaks = 0:12)

^{Created on 2024-09-07 with reprex v2.1.0}

And before the OP edit, the plot was a histogram.

ggplot(iris, mapping = aes(y = Sepal.Length)) +
  geom_histogram(bins = 30) +
  scale_x_reverse(breaks = 0:12)

^{Created on 2024-09-07 with reprex v2.1.0}