The tutorial you need to maximize your use of R's lists (CC276)

[@djangoworldwide7925]

Love your content ever since you came back. Ladt version of you was great for ggplot and viz foundations in general, where now its mostly the engineering part of DS. Its great, thank you for publishing advanced content here. BR

[@Riffomonas]

thanks!

[@niceday2015]

Thanks a lot Really a genius!

[@Riffomonas]

my pleasure - thanks!

[@alex146]

I think a list is a vector of links so it is an atomic vector, sort of

[@Riffomonas]

lol, that's one way of thinking of it 🤓

[@eric13hill]

Remember to load your functions...Because you asked. :)

[@Riffomonas]

finally someone reminds me! 😂

[@spacelem]

I don't suppose you'd be up for some benchmarking between tidyverse and data.table? I've found data.table is more terse and performant, but there have been a few places where it couldn't do what tidyverse could (I did a lot of searching to no avail).

[@RamGlez]

I have also found data.table to have better performance when handling operations on large data sets over tidy verse. If I find something I don’t know how to do using data.table I'll usually go to chat gpt and get the solution.

[@Riffomonas]

Tune in for Thursday and Monday's episodes :) Teaser... df is far more performant than dt or tibbles. I think tibbles are far easier to use. Tradeoffs!