rstudio::conf 2019 summary

Welcome to rstudio::conf 2019

Similar to last year, I was not able to attend rstudio::conf 2019.

Fortunately, so much of the conference is shared on Twitter and media outlets that I still felt included. Here are some things that I liked and learned from, despite the Austin-Tilburg distance.

All presentations are streamed

One great thing about rstudio::conf is that all presentations are streamed and later posted on the RStudio website.

Of what I’ve already reviewed, I really liked Jenny Bryan’s presentation on lazy evaluation, Max Kuhn’s presentation on parsnip, and teaching data science with puzzles by Irene Steves. Also, the gt package is a serious power tool! And I was already a gganimate fanboy, as you know from here and here.

Pass the dots = mindblown. #rstats #RStudioConf #timesaver #elegantcode pic.twitter.com/bV1gCDVZS5
— Jennifer Chunn (@jchunn206) January 18, 2019

One of the insights shared in Jenny Bryan’s talk that can be a life-saver

I think I’m going to watch all talks over the coming weekends!

Slides & Extra Materials

There’s an official rstudio-conf repository on Github hosting many materials in an orderly fashion.

Karl Broman made his own awesome GitHub repository with links to the videos, the slides, and all kinds of extra resources.

Karl’s handy github repo of rstudio::conf

All takeaways in a handy #rstudioconf Shiny app

Garrick Aden-Buie made a fabulous Shiny app that allows you to review all #rstudioconf tweets during and since the conference. It even includes some random statistics about the tweets, and a page with all the shared media.

Some random takeaways

Via this tweet about this rstudio::conf presentation

Data scientists can fail by:
❌not saying no enough
❌not providing anything more than a cursory analysis
❌assuming PM knows enough to ask question in the right way and not collaborating with them
❌caring more about using fancy method than solving business problems#rstudioconf
— Emily Robinson (@robinson_es) January 18, 2019

Some words of wisdom by Emily Robinson (whom we know from here)

Recently heard about #tidytuesday from @drob Keynote at #RStudioConf and want to know how to get started?

Check out the GitHub repo for all the details!

New data drops every Monday morning!https://t.co/8NaXR93uIX
— Tom Mock (@thomas_mock) January 18, 2019

You should consider joining #tidytuesday!

Extra: Online RStudio Webinars

Did you know that RStudio also posts all the webinars they host? There really are some hidden pearls among them. For instance, this presentation by Nathan Stephens on rendering rmarkdown to powerpoint will save me tons of work, and those new to broom will also be astonished by this webinar by Alex Hayes.