data_to_viz VS ggplot

Here's a wonderful example: https://www.data-to-viz.com/

For plotting data, from Data to Viz is a great resource if you're comfortable (or willing to learn) using R or Python for data visualization. Even if you don't want to learn those, it's a great place to go for inspiration. https://www.data-to-viz.com/

Use data-to-viz https://www.data-to-viz.com/ for you data visualization needs. My guess is you’re looking for an UpSet plot.

also, the link I sent you has some code snippets for different kind or representations - https://www.data-to-viz.com/

If you want some suggestions for chart types, https://datavizcatalogue.com/search.html or https://www.data-to-viz.com/ might be helpful. You seem to need two types; a part-of-a-whole chart and a comparison chart. Some of your data is categorical, some is numerical. Those constraints should be sufficient to narrow down your choices.

https://r-graph-gallery.com/ https://www.data-to-viz.com/

Seaborn is based on matplotlib and quite modern. Coming from R and used to ggplot (which is also available in python) I really like it.

If you're familiar with R, there's always ggplot.

I'd agree in that it's a well-specified language for defining graphics; it's not very good with rendering performance. There are packages which try to achieve similar goals in Python as well (ggplot / ggpy) and packages like Seaborn. Though, like you, I use R for lots of EDA. Hard to beat data.table and R graphics for speed and expressiveness. I prefer base graphics though; ggplot2 tends to render too slowly for any data sets I work with.