emilynordmann

I'm giving a talk & workshop on our data viz paper at #aps23dc. If you use #rstats for data viz, what's your number 1 reason why you would encourage researchers to adopt it?

And if you don't use R/another programming language for data viz (or quant data analysis in general), what's your number 1 barrier/reason for not doing so?

https://journals.sagepub.com/doi/10.1177/25152459221074654

May 12, 2023 at 4:31pmWeb
Show threadCollin EdwardsMay 12, 2023

@emilynordmann I think the ability to reuse and build off figures from other projects is pretty amazing. And recreating figures when you get new data or change the analyses.

Both of those really benefit from clear documentation in your figure code, and I really appreciate having a library of code snippets for individual plot types that I find fiddly (I use gists).

Show threadRob Aye DaviesMay 12, 2023
@emilynordmann the community examples are so inspiring
Show threadFiona MacNeillMay 13, 2023
@emilynordmann To answer your question. I can think of many reasons. The top one is that R is free. Following on from that R has a world of amazing vizualisation tools, can crunch a lot of data with less RAM (e.g., than say Power BI) and also there is r-ladies and amazing local groups out there. R is how tech should be, useful, open, powerful, and collaborative.
Show threadFiona MacNeillMay 13, 2023
@emilynordmann also your paper is awesome!