timekeep | Defensive timeseries analysis in python | Data Visualization library

I am working with the R programming language.

I generated the following random data set in R and made a plot of these points:

I made the following 25 network graphs (all of these graphs are copies for simplicity - in reality, they will all be different):

I am working with the R programming language. I made the following 3 Dimensional Plot using the "plotly" library:

I'm trying to build a doughnut chart with rounded edges only on one side. My problem is that I have both sided rounded and not just on the one side. Also can't figure out how to do more foreground arcs not just one.

Over here (Directly Adding Titles and Labels to Visnetwork), I learned how to directly add titles to graphs made using the "visIgraph()" function:

In d3, we may change the order of elements in a selection, for example by using raise.

Yet, when we rebind the data and use join, this order is discarded.

This does not happen when we use "the old way" of binding data, using enter and merge.

See following fiddle where you can click a circle (for example the blue one) to bring it to front. When you click "redraw", the circles go back to their original z-ordering when using join, but not when using enter and merge.

Can I achive that the circles keep their z-ordering and still use join?

Is there a way to put text along a density line, or for that matter, any path, in ggplot2? By that, I mean either once as a label, in this style of xkcd: 1835, 1950 (middle panel), 1392, or 2234 (middle panel). Alternatively, is there a way to have the line be repeating text, such as this xkcd #930 ? My apologies for all the xkcd, I'm not sure what these styles are called, and it's the only place I can think of that I've seen this before to differentiate areas in this way.

Note: I'm not talking about the hand-drawn xkcd style, nor putting flat labels at the top

I know I can place a straight/flat piece of text, such as via annotate or geom_text, but I'm curious about bending such text so it appears to be along the curve of the data.

I'm also curious if there is a name for this style of text-along-line?

Example ggplot2 graph using annotate(...):

Above example graph modified with curved text in Inkscape:

Edit: Here's the data for the first two trial runs in March and April, as requested:

I do realize this has already been addressed here (e.g., matplotlib loop make subplot for each category, Add a subplot within a figure using a for loop and python/matplotlib). Nevertheless, I hope this question was different.

I have customized plot function pretty-print-confusion-matrix stackoverflow & github. Which generates below plot

I want to add the above-customized plot in for loop to one single plot as subplots.

I would like to generate a hexagonal lattice heat-map in which each cell represents a group. Likewise, each cell would be a hexagon with a unique color (fill, set by a column color in the data-frame) value, and a saturation (alpha) value corresponding to continuous decimal values from a chemical concentration dateset.

I would like to use a standardized data format which would allow me to quickly construct figures based on standardized datasets containing 25 groups.

For example, a datasheet would look like this: