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I have a dataframe (dat) with two columns 1) Month and 2) Value. I would like to highlight that the x-axis is not continuous in my boxplot by interrupting the x-axis with two angled lines on the x-axis that are empty between the angled lines.

Example Data and Boxplot

I'm interested in adding grouping labels above my ggplot bar charts. This feature exists for data visualizations such as phylogenetic trees (in ggtree), but I haven't found a way to do it in ggplot.

I've tried toying around with geom_text, and geom_label, but I haven't had success yet. Perhaps there's another package that enables this functionality? I've attached some example code that should be fully reproducible. I'd like the rating variable to go over the bars of the continents listed (spanning multiple continents).

Any help is greatly appreciated! Thank you!

P.S. pardon all the comments - I was writing a teaching tutorial.

I'm trying to add some interactivity to my plotly charts using crosstalk (specifically using filter_checkbox and filter_select) and I've run into a bit of snag. I produce my plots firstly through ggplot then I convert it to plotly using ggplot function.

While I can generate the chart fine (and there's plenty of interactivity on the markdown), I have a couple of problems. Firstly, when I wish to filter (either via filter_select or filter_checkbox), the 'recent' data disappears from the chart entirely, and cannot be recovered without refreshing the html. A similar thing happens with the actual data I'm filtering; I cannot revert the chart to its original state without refreshing the page.

Does anyone know why this might be? Copy of my code + data is below.

Below is a snippet of my data (data=historic):

Here is my reprodicible sample and code:

I am a relative novice to R & ggplot. I am trying to plot an interaction. When I plot the interaction using SPSS - the regression lines go from the y-axis all the way to the opposite edge of the plot:

However, when I use ggplot, the regression lines only go as far as the first and last data point which makes the graph look strange

Is there any way to remedy this and make my ggplot look more like the SPSS plot?

Here is the code I am using

Goal: to run this Auto Labelling Notebook on AWS SageMaker Jupyter Labs.

Kernels tried: conda_pytorch_p36, conda_python3, conda_amazonei_mxnet_p27.

I installed Jupyter notebook and labs on and EC2 instance and for some reason I get the following error:

ImportError: cannot import name 'filefind' from 'traitlets.utils' (/usr/lib/python3/dist-packages/traitlets/utils/init.py)

Jupyter opens fine in the browser but I can't seem to be able to work in an python notebook.

I am trying to plot a lollipop chart with 5 groups and repeated elements in those groups. If all elements have different names it works as expected:

Intended behavior:

The problem is that I want to plot only 5 algorithms in different groups, and when I actually name them from Algorithm 1-5 this happens with the plot:

Unexpected behavior:

This is my snippet that produces the correct behavior of the lollipop chart (except for the wrong labels):

I've built this new ggplot2 geom layer I'm calling geom_triangles (see https://github.com/ctesta01/ggtriangles/) that plots isosceles triangles given aesthetics including x, y, z where z is the height of the triangle and the base of the isosceles triangle has midpoint (x,y) on the graph.

What I want is for the geom_triangles() layer to automatically provide legend components for the height and width of the triangles, but I am not sure how to do that.

I understand based on this reference that I may need to adjust the draw_key argument in the ggproto StatTriangles object, but I'm not sure how I would do that and can't seem to find examples online of how to do it. I've been looking at the source code in ggplot2 for the draw_key functions, but I'm not sure how I would introduce multiple legend components (one for each of height and width) in a single draw_key argument in the StatTriangles ggproto.