Agree on stack overflow. And part of learning how to program is trying to structure logic into thoughtful questions.

With R specifically I’d recommend looking into the tidyverse library for R. Or at least understand the libraries your work environment will be specifying to make sure you’re on the same page.

Not sure how to take this. Out of all people who handle my data at this point - Apple seems to be towards the top. Not the top - but above many who handle my data and above google specifically.

Can you elaborate on this? If you have a moment.

As others have mentioned - I would second. A good website. Let them come to you. Give your solutions to common problems. Create a github. Provide repeatable examples on your GitHub and encourage contact for custom solutions.

This won’t be a multi million dollar business. At best you’ll give yourself some work to get your name out. Companies don’t talk to each other - but maybe your niche is different. This is really the only path I can see without attaching yourself to a larger entity.

Docker containers in programming are reusable environments. Basically instead of manually setting up an operating system environment from scratch - you give your program this extra layer where you specify each and every thing that will be on the environment.

If your program was always tested on windows 10 instead of windows 9 - you basically have a way to guarantee it always has windows 10. If your program always used x version of Linux a boom, guaranteed. It adds some complexity but reduces and removes randomness from the concept of deploying applications you’ve created.