I would parrot what's already been said, and encourage you to start new threads in meta on FAQ guides you think we are missing, and what you are thinking. I've been thinking about this stuff for a while and would be happy to contribute.
And if you or anyone else wrote this up on your personal blog and/or recorded video, we'd be happy to highlight it here.
Even if these are just more focused versions of existing guides/FAQs, it could be of value as a perfect link to give people at the right time, (and another thing for Google to deliver given the appropriate search).
In terms of reprex content we are lacking, I see the following:
On data for a reprex
I agree that it's probably time to coalase notes in
- Prepping and importing time series data (for noobs) and
- Best Practices: how to prepare your own data for use in a `reprex` if you can’t, or don’t know how to reproduce a problem with a built-in dataset?
into a single, easy to digest wiki-faq.
I feel good content to add would be:
- A short video (<4min) of best practices on this.
- A list, very organized set of copy-paste examples of options (the value of
str, how to usedput,readr::read_csv/read.csvwith file and with text,tibble::tribble,wrapr::draw_frame,datapasta::tribble_paste, file-system linking to a CSV file or other file.). - A longer video walking through these examples, geared toward those new to coding.
Common reprex errors
It seems there are a small set of common errors people run into when doing reprex. It might be nice to have a wiki to deposit those error and start creating FAQ solutions? E.g. "you don't actually load the reprex package in your reprex..." and "file system file loading".
Shiny reprex stuff
Barret, Mine and others are working on improving this, but if you have suggestions, that would be awesome! The big issues being around shiny-debugging, shiny-reprex, debugging shiny deployment issues, and using rstudio.cloud for your shiny-reprex.
@Andrea, would you like me to close this thread start any of these under your username?