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Background

This could be a duplicate question, but I've gone through several posts and haven't found exactly what I'm looking for. I have a nice ggplot I made using geom_col:

enter image description here

It comes from a df that looks like this:

enter image description here

And I made it using this code:

ggplot(data = avg_repeats_per_year, aes(x = year, y = ratio)) +
  geom_col()

You can see that each number in ratio corresponds to a different year from 2009 to 2018 (with one NA year).

The Problem

You can see that each bar corresponds to a year in year, but only 3 years are actually labeled on the x-axis of the plot.

How can I get each bar to have a label for its respective year?

What I've Tried

I've made attempts of this sort:

ggplot(data = avg_repeats_per_year, aes(x = year, y = ratio)) +
  geom_col() + 
  scale_x_discrete(breaks = avg_repeats_per_year$year, labels = avg_repeats_per_year$year)

But nothing shows up. Any thoughts?

logjammin
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1 Answers1

1

It seems to be numeric column, change it to factor or character and it should work

ggplot(data = avg_repeats_per_year, aes(x = factor(year), y = ratio)) +
    geom_col() + 
    scale_x_discrete(labels = avg_repeats_per_year$year) + 
    xlab("year")

-output

enter image description here

data

avg_repeats_per_year <- structure(list(year = c(2009L, 2010L, 2011L, 2012L, 2013L, 2014L, 
2015L, 2016L, 2017L, 2018L, NA), ratio = c(2.28, 2.24, 2.3, 2.45, 
2.32, 2.41, 2.56, 2.52, 2.63, 1.32, 0.56)), class = "data.frame", row.names = c(NA, 
-11L))
akrun
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