mostly-adequate-guide VS cheatsheets

This project might serve as inspiration: https://github.com/MostlyAdequate/mostly-adequate-guide

i like reading this book directly from github with dark mode, also the subheading don't work in the gitbook website and gitbook is abandoned, here's the github link: https://github.com/MostlyAdequate/mostly-adequate-guide/blob/master/SUMMARY.md

It’s been a while since I focused on FP, but I recall finding this useful quite often and gleaning the concepts from it relatively easily.

https://github.com/MostlyAdequate/mostly-adequate-guide

I found a lot of articles like the OP, and ultimately they left me confused about the benefits in the beginning. I found it more useful to avoid one off articles and dig into larger pieces of work where the author put in much more care.

On the book front, there are two that I am fond of which have a focus on JavaScript and FP, Professor Frisby’s Mostly Adaquate Guide, and Functional Light JavaScript. They are nice practical books that help you lean into JS’s strength as an FP language while writing real code.

So, this is going to be an uphill battle for you. I suggest you actually learn Haskell first, and then you'll be able to apply its lessons to TypeScript.

Its tricky because these are patterns that are familiar in Haskell but are not really taught in other settings.

Additionally, to really learn these, you need to experiment with them. Use them. etc. That's pretty hard to do if the learning resources are mostly in haskell and you don't really understand it.

Alternatively, this might help: https://github.com/MostlyAdequate/mostly-adequate-guide

Also alternatively, what I would do is just go slowly through the fp-ts code. Look at it a piece at a time and slowly grow your understanding.

This may also help https://www.amazon.com/Domain-Modeling-Made-Functional-Domai...

If you're an R user, stringr + its cheatsheet gets you very close to remembering what to do without needing to look further!

For more information on how to use ggplot2 and create charts consult the ggplot2 official page or the ggplot2 cheat graphic.

I'd suggest you have a look at cheatsheets (or download them from GitHub) if you want to get to know your way around a package or set if functions, it saves you a lot of time.

You could use geom_hline and geom_vline, geom_abline, or geom_segment for this. (The ggplot cheat sheet is very useful for answering these kinds of questions, BTW.)

I can't say for sure because I don't know what your ultimate aim is for your visualization. Check out the cheat sheet for ggplot2 here.

Finally just do your analysis. You should also should give a try and see the cheat sheet for data importing on the tidyverse package.

That said, when I’m trying to come up with an interesting way to visualize data, I find the ggplot cheat sheet very helpful: https://github.com/rstudio/cheatsheets/raw/main/data-visualization-2.1.pdf

Here's a cheat sheet: https://github.com/rstudio/cheatsheets/blob/main/strings.pdf

The cheat sheet of the stringr package should give you good overview of string manipulation/ regex in R.

I would very highly recommend that rather than trying to get started by translating an existing graph, you check out some documentation about ggplot first. If nothing else, the ggplot cheat sheet from RStudio should help explain what the component parts of the code are, and that might help you figure out what you actually want to do.