ggplot2 VS deneb

Pardon me for shooting from the hip here, but IMO if you're using R for something radically different than statistical analysis and data visualization, there might be another tool/language that's more purpose-suited.

> As someone who basically uses R as a nice LISP-y scripting language to orchestrate calling low-level compiled code from other languages

When I read this, I think, would `bash` or something equally portable/universally installed work?

R is a beautiful thing when limited to its core uses (I use it every day ([0]). But in my experience, the more we build away from those core uses, the more brittleness we introduce. I wish the Posit team would focus on the core R experience, resolve some of the hundreds of open issues on its core packages in a timely way, [1,2] and just generally play to R's strengths.

[0] https://github.com/hsflabstanford/vegan-meta

[1] https://github.com/rstudio/rmarkdown/issues

[2] https://github.com/tidyverse/ggplot2/issues

ggplot2

I got the list of five-letter words from the words package in R, created the QWERTY keyboard grid with base R and tibble, and visualized the data with geom_tile in the ggplot2 package.

Thanks, it's an interesting idea! I definitely could implement this with scale_fill_gradientn) in ggplot2.

I used the ggplot2 package in R to create these figures.

This might not be at the top of your list, but science fiction often presents advanced data analysis and visualization technologies. Open source data analysis tools such as Python's Pandas and R's ggplot2 have revolutionized the field, making complex data manipulation and visualization accessible to all. In the science fiction novel The Martian, astronaut Mark Watney uses a variety of data analysis and visualization tools to survive on Mars. He uses Python's Pandas to clean and organize data, and he uses R's ggplot2 to create visualizations of his data. These tools allow him to make sense of the vast amounts of data and help him to make critical decisions about his survival.

Denab (https://deneb-viz.github.io/) Charticulator https://charticulator.com/

The network visuals can be a little haphazard.. the other option would be to craft exactly what you want in something like Deneb: https://deneb-viz.github.io/

Deneb: A custom visual project that uses Vega and Vega-Lite specifications. Provides a user-friendly interface that allows you to build and customize a wide range of visuals.

Deneb it. https://deneb-viz.github.io

Voronoi tesselations would potentially be doable in Power BI - there's a well-maintained module for D3 that can do them if you want to try building a Power BI custom visual from the ground up, and Deneb can do Voronoi tesselations if you use Vega rather than Vega-Lite. Deneb can help if you don't want to go through the hassle of bootstrapping a custom visual from scratch and dont necessarily have the web development skills (but you will still need to learn a higher-level language in Vega, which is a visualisation grammar). Deneb is also certified, so your work gets the benefits of running inside a custom visual (as if you build your own visual and need it to be certified, you have to submit it to AppSource first).

You use Deneb. Have a read here to get started: https://deneb-viz.github.io/

For another code based approach that allows for much more interactivity I would suggest taking a look at Deneb: https://deneb-viz.github.io/

If your use case is simple, I built Deneb as a means for developers to use a good visual grammar system (Vega or Vega-Lite) inside a certified visual that works much like an R or Python visual, with some integration with Power BI interactivity features. This can be a good compromise if you want to build and prototype quickly without the overhead of bootstrapping a full visual, with all the benefits of it being certified (which you don't get unless you submit to AppSource and go through the approval process). The neat thing is that as the Vega packages are ES6 compliant, you can always lift and shift your work to a dedicated custom visual and put all the other stuff around it later on if you'd prefer to go that route.