This list needs to be recast around this philosophy: "Tutorials focused on feats of skills instead of on specific packages." - [ ] Might do a basic "most popular functions" tutorial that shows examples of all the functions in [RWDIR](https://utdata.github.io/rwdir/functions.html). - [ ] group_by/summarize/arrange. ([this might come in handy](https://www.andrewheiss.com/blog/2024/04/04/group_by-summarize-ungroup-animations/?ck_subscriber_id=1027461881#adding-new-columns-with-mutate)) - [ ] Using `count()` and `tabyl()` - [ ] count with filter. df |> summarize(new_col = sum(col == "value")) - Include how to turn a tabyl into a regular tibble - Maybe count and tabyl are separate? Or at least separate pages in the same folder? - Can look at [rwdir count](https://utdata.github.io/rwdir/count.html) for ideas. - [ ] Pivoting - [ ] Advanced `select()` - [ ] Using `across()` and `filter_at()` - [ ] parsing strings - [ ] Bind & Join - [ ] iterations with `map()`. Like importing multiple files. Can start with CHJ examples and whatever we do for NICAR25 - [ ] Using `slice()` and related - [ ] Converting data types - [ ] ggplot? How much of this? - [ ] DT (datatable), data.table and gt - [ ] filtering techniques `%in%` or negate with `%ni%`. Include `pull()` - [ ] read/write even using rio package - [ ] using execution options in Quarto - [ ] Tips on making Quarto websites? This could be The Way. - [ ] another `map()` idea: Run `count()` on every column in a tibble?. See [tutorial](https://jennybc.github.io/purrr-tutorial/) and this [post](https://rebeccabarter.com/blog/2019-08-19_purrr) - [ ] Using an API. Perhaps [rwars](https://github.com/Ironholds/rwars) that connects with [SWAPI](https://pipedream.com/apps/swapi) at https://swapi.dev/. Would using http2 be better today? - [ ] Scraping?
This list needs to be recast around this philosophy: "Tutorials focused on feats of skills instead of on specific packages."
count()andtabyl()select()across()andfilter_at()map(). Like importing multiple files. Can start with CHJ examples and whatever we do for NICAR25slice()and related%in%or negate with%ni%. Includepull()map()idea: Runcount()on every column in a tibble?. See tutorial and this post