unnest_wider( data, col, names_sep = NULL, simplify = TRUE, names_repair = "check_unique", ptype = list(), transform = list() )

unnest_wider( data, col, names_sep = NULL, simplify = TRUE, names_repair = "check_unique", ptype = list(), transform = list() )

unnest_wider( data, col, names_sep = NULL, simplify = TRUE, names_repair = "check_unique", ptype = list(), transform = list() )

unnest_longer( data, col, values_to = NULL, indices_to = NULL, indices_include = NULL, names_repair = "check_unique", simplify = TRUE, ptype = list(), transform = list() )

unnest_longer( data, col, values_to = NULL, indices_to = NULL, indices_include = NULL, names_repair = "check_unique", simplify = TRUE, ptype = list(), transform = list() )

unnest_longer( data, col, values_to = NULL, indices_to = NULL, indices_include = NULL, names_repair = "check_unique", simplify = TRUE, ptype = list(), transform = list() )

unnest_wider( data, col, names_sep = NULL, simplify = TRUE, names_repair = "check_unique", ptype = list(), transform = list() )

unnest_wider( data, col, names_sep = NULL, simplify = TRUE, names_repair = "check_unique", ptype = list(), transform = list() )

hoist( .data, .col, ..., .remove = TRUE, .simplify = TRUE, .ptype = list(), .transform = list() )

"%>%" shortcut Ctrl + Shift + M

API filter example at 15:38. https://youtu.be/W71YZyyRPgk?t=938

Tibbles: https://blog.rstudio.com/2016/03/24/tibble-1-0-0/#:~:text=There%20are%20two%20main%20differences,to%20work%20with%20large%20data.

What do you do with your API key? "WHERE DO I PUT IT?!?" https://youtu.be/ecT42O6I_WI?t=338

Also, suggests to get a JSON formatter browser extension. e.g.: "JSON Formatter" from the Chrome Web Store Here's a good one: https://chrome.google.com/webstore/detail/json-viewer/gbmdgpbipfallnflgajpaliibnhdgobh/

Define variables, such as colors (e.g. $primary: #337ab7) in Sass (styles.scss) then compile to css for web.

R library "bootstraplib" built on foundation of "sass".

Use "run_with_themer()" to get a live preview GUI for customizing bootstrap theme.

Also, use "shinyOptions(plot.autocolors=TRUE)" at top of app to get plot outputs that respect Dark Mode.

Gen3 Data Commons overview/explained.

GDC purpose/summary: https://youtu.be/LY5SkHJplxc?t=118

API endpoint filters are given as % encoded JSON: https://youtu.be/VT-chUoq-oo?t=221

Fields reference for endpoint:files: https://api.gdc.cancer.gov/files/_mapping

Fields reference for endpoint:genes: https://api.gdc.cancer.gov/genes/_mapping