Alluvial | Stream your data from any source | Stream Processing library

I am new to using the ggalluvial package. I presently am working with a dataset of donations that I would like to represent using an alluvial diagram as a medium. Below is a sample of the dataset that I am working with:

I have experience with making alluvial plots using the ggalluvial package. However, I have run in to an issue where I am trying to create an alluvial plot with two different sources that converge onto 1 variable.

here is example data

I am getting problems with applying ggrepel() in an alluvial plot with different variables on columns. Some observations are so small, I need ggrepel to make them readable.

Because there are three columns, I want to apply different ggrepel() functions to each column: Left (region): Align lables to the left of axis Middle (supplySector): Do nothing (i.e. leave text in axis) Right (demandSector): Align to right of axis.

I've found these issues:

https://cran.r-project.org/web/packages/ggalluvial/vignettes/labels.html

and

How to align and label the stratum in ggalluvial using ggrepel (or otherwise)

Difference is: these examples only have 2 columns, and also columns made of the same variable (but subset of the variable). Previous published fixes are through an ifelse(), selecting a subset within the variable.

ReprEx:

I am trying to use an Alluvial plot (Sankey diagram) to show the change of different categories over two time periods. I was able to create a plot that makes sense to me when all the factor levels are represented in both time periods (pre and post), but with my data the plot looks strange after changing the order of the factors. I also would like to show the same fill colors for the categories from both time periods, but could only change the first time period (pre). When I do the plot, I notice that the colors that I specify are not the ones that I want for each of the factor levels, despite the order of the boxes / stratum is correct.

Any help or advice on how to improve the plot and how I can overcome the problem of ordering the factor levels from both groups when the categories ar not fully represented in both time periods would be so helpful.

Here is the code:

I have a dataframe with three categorical variables:

• classification1 : "1", "2", "3", "4"
• classification2 : "Low", "Med", "High"
• survival: "1" (alive), "2" (dead)

The dataframe is composed of multiples rows, one for each individual. The 20 first rows:

Surprisingly little info out there regarding python and the pyalluvial package. I'm hoping to combine stacked bars and a corresponding alluvial in the same figure.

Using below, I have three unique groups, which is outlined in Group. I want to display the proportion of each Group for each unique Point. I have the data formatted this way as I need three separate stacked bar charts for each Point.

So overall (Ove) highlight the overall proportion taken from all three Points. Group 1 makes up 70%, Group 2 makes up 20%, Group 3 makes up 10%. But the proportion of each group changes at different intervals Points. I'm hoping to show this like a standard stacked bar chart, but add the alluvial over the top.

Background

I was trying the create a Sankey graph like the following figure. Actually, I wanted to get a output where values (10, 20, 30, 40) will be set in the paths (from one node to another node).

How Did I Try?

At first, I tried using the Plotly library of Python. However, somewhere I have seen that it is not possible to set the values in the links or the paths of Sankey graph in Plotly (of Python). Later, I switched to R (for some other reasons also) where more resources are available (I think). However, here, I am also facing the same problem. I have checked many tutorials (e.g., this one), Q&A (e.g., 1, 2, 3) of SO which are in R. Still, I could not to find a tutorial or resources where the values are displayed in the paths!

My Question

How can I display the values on the links/paths of Sankey Graph, in R?

Note: This and this questions of SO seems to be similar. However, I failed to understand the way to incorporate those in my codes.

Example Code (collected from here)

I would very much like to make an illustration like the one in the link:

How to add a label to each stratum to display additional information in a rank-change chart using alluvial in R?

I have trouble doing it in Python as it creates multiple linked figures which I do not want. My script is:

import plotly.graph_objects as go

Background

I am creating a Sankey Diagram in R and I am struggling with labeling the nodes.

As example, I will reuse a dataset with 10 imaginary patients that are screened for COVID-19. At baseline, all patients are negative for COVID-19. After let’s say 1 week, all patients are tested again: now, 3 patients are positive, 6 are negative and 1 has an inconclusive result. Yet another week later, the 3 positive patients remain positive, 1 patient goes from negative to positive, and the others are negative.