r4ds VS pandoc

https://r4ds.hadley.nz is free and very good

R for Data Science teaches you the tidyverse packages, which makes data wrangling so much easier!

One of the best free resources is the R4DS book by Hadley Wickham. You should make sure you start with the in progress second edition. https://r4ds.hadley.nz/

The first edition of R4DS is quite old now. Check out the soon to be released second edition: https://r4ds.hadley.nz/

R for Data Science (2nd Ed), the updated guide from Hadley Wickham

The big skills gap you have is in practical data exploration and transformation, which will be a large part of any data-centric role. As much as people may have distaste for it, there is no avoiding data manipulation as critical foundational enabler of all inferential and predictive modeling work. SQL is the lingua franca here and well worth picking up the basics (joins, window functions, handling dates and times, etc.), plus learning how to implement similar transformations in R and Python. With appropriately transformed data, you then need to be able to visualize it effectively using tools like Tableau or ggplot2 in R. I would not necessarily seek courses or certificates in it but expect to be evaluated on them in technical interview screenings, so self-study accordingly. R for Data Science by Hadley Wickham is a great free resource for these topics for R.

I just looked and there is now a second edition! https://r4ds.hadley.nz/

My main authoring tool is then Emacs Markdown Mode (https://jblevins.org/projects/markdown-mode/). For data entry, it comes with some bells and whistles similar to org-mode, like C-c C-l for inserting links etc.

I seldom export my notes for external usage, but if it is the case, I use lowdown (https://kristaps.bsd.lv/lowdown/) which also comes with some nice output targets (among the more unusual are Groff and Terminal). Of cource pandoc (https://pandoc.org/) does a very good job here, too.

This is one of those things that the ever-amazing pandoc (https://pandoc.org/) does very well, on top of supporting virtually every other document format.

Folks feel the same way about Markdown versus LaTeX: why use something significantly more complicated where a looser, human-readable grammar works better?

For any other situations, I use https://pandoc.org/, or, generate a Word doc scriptomatically.

pandoc toolchain pour builder une version confortable/imprimable en phase de travail (ePub, pdf, docx, html)

Congrats on the launch, I guess, but there are so many free options that I can't think of a situation where paying $0.25 per document would be justified...? Just to name a few:

Back in the days, I used to use XSL-FO [0] and it was okay. It was not very precise but it rarely if ever broke, and was perfectly integrated with an XML/XSLT solution. Yeah, this was a long time ago.

Last month I used html-to-pdfmake [1] and it's also not very precise and more fragile, but very efficient and fast.

Yet another approach would be to pro grammatically generate .rtf files (for example) and use Pandoc [2] to produce PDFs (I have not tried this in production but don't see why it wouldn't work).

[0] https://en.wikipedia.org/wiki/XSL_Formatting_Objects

[1] https://www.npmjs.com/package/html-to-pdfmake

[2] https://pandoc.org/

Others have mentioned static site generators. I like Hakyll [1] because it can tightly integrate with Pandoc [2] and allows you to develop custom solutions if your needs ever grow.

[1]: https://jaspervdj.be/hakyll/

[2]: https://pandoc.org/

Have you compared it with a conversion by pandoc (https://pandoc.org/)?

I have used it to kickstart a blogging project that I wish to come back to soon. The Lua inter-op for custom readers, writers and filters is great but I wish there was more editor integration and even perhaps an official IDE/editor with built-in debugging features (probably something already do-able with Emacs but I haven't checked). The only blocker for my project is no support for "ChunkedDoc" for Lua filters [1] which forces me to write more code and a complicated Makefile.

[1]: https://github.com/jgm/pandoc/issues/9061