jenks | Cython implementation of jenks breaks | Machine Learning library

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Adding custom labels to ggplot2 is notoriously difficult, and I believe this is by design. All legends are controlled by the arguments placed in aes and scale_*_[continuoues|discrete|manual]. If we don't want to start learning how to grob (likely spending several hours) we can however achieve the desired output by

1. Adding are statistic to the data itself
2. Create a column indicating which is the statistic and which is data points
3. Abuse that we can subset the data directly in our geom_* function to create a specific layer for jitter and non-jittered points, and set the shape in the aestethics of these layers
4. Customize the marks using scale_shape_manual (or scale_shape_discrete).

Using the mtcars dataset as an example (and dplyr for piping) we can obtain something very similar to ggboxplot

Your description sounds like you're wanting to plot a histogram of var. This can be done easily enough in ggplot using geom_histogram. The key here is that ggplot likes to have a data frame, so you just have to specify your variable in a dataframe first, which you can do inside the ggplot() function:

We can use quantile with cut to create a column after grouping by the group columns 'year'

Without a reproducible example of your dataset, it's hard to be sure of the solution to your question, but maybe you can plot your data with ggplot2 after converting it to a sf object and then use geom_sf: