The 2018 New York R Conference was the biggest and best yet. This is both in terms of the crowd size and content. The speakers included some of the R community’s best such as Hadley Wickham, David Robinson, Jennifer Hill, Max Kuhn, Andreas Mueller (ok, a little Python), Evelina Gabasova, Sean Taylor and Jeff Ryan. I am proud to say we were almost at gender parity for both attendees and speakers which is amazing for a tech conference. Brooke Watson even excitedly noted that we had a line for the women’s room.
Excited to announce that i am waiting in a LINE for the WOMEN’s restroom at a tech conference! Thanks @RLadiesNYC, @RLadiesGlobal, and @nyhackr for the opportunity, wouldn’t be here without your support
— Brooke Watson (@brookLYNevery1) April 21, 2018
Some highlights that stuck out to me are:
Emily Robinson Shows There is More to the Tidyverse than Hadley
Emily Robinson, otherwise known as ERob, gave an excellent talk showing how the Tidyverse is so much more than just Hadley and that there are many people inspired by him to contribute in the Tidy way.
Sean Taylor Forecasted the Future with Prophet
Sean Taylor, former New Yorker and unrepentant Eagles fan, demonstrate his powerful R and Python, package Prophet, for forecasting time series data. Facebook open sourced his work so we could all benefit.
OG Data Mafia Founder Drew Conway Popped In
David Smith Playing Minecraft Through R
Evelina Gabasova Used Social Network Analysis to Break Down Star Wars
Evelina Gabasova wowed the audience with her fun talk and detailed analysis of character interaction in Star Wars.
Dusty Turner Represented West Point
Hadley Wickham Delved into the Nitty Gritty of R
Hadley Wickham showed us how to get into the internals of R and figure out how to examine objects from a memory perspective.
Jennifer Hill Demonstrated Awesome Machine Learning Techniques for Causal Inference
Following her sold-out meetup appearance in March, Jennifer continued to push the boundaries of causal inference.
I Made the Authors of Caret and scitkit-learn Show That R and Python Can Get Along
While both Andreas and Max gave great individual talks, I made them pose for this peace-making photo.
David Robinson Got the Upper Hand in a Sibling Twitter Duel
Given only about 30 minutes notice, David put together an entire slideshow on how to livetweet and how to compete with your sibling.
In the End Emily Robinson Beat Her Brother For Best Tweeting
Silent Auction of Data Paintings
Thomas Levine made paintings of famous datasets that we auctioned off with the proceeds supporting the R Foundation and the Free Software Foundation. The Robinson family very graciously chipped in and bought the painting of the Pizza Poll data for me! I’m still floored by this and in love with the painting.
Ice Cream Sandwiches
In addition to bagels and eggs sandwiches from Murray’s Bagels, Israeli food from Hummus and Pita Company, avocado toast and coffee from Bluestone Lane Coffee and pizza from Fiore’s, we also had ice creams sandwiches from World’s Best Cookie Dough.
All the Material
To catch up on all the presentations check out Mara Averick’s excellent notes:
Rest of #rstatsnyc Day 1 (before my little ❤ couldn’t take it) feat. @jaredlander @chendaniely @seanjtaylor @noamross @brookLYNevery1 @dtdusty @DogmaticPrior @wesmckinn #rstats 🗽 pic.twitter.com/pTOXTPTO5b
— Mara Averick (@dataandme) April 23, 2018
Or check out all of Brooke’s drawings, collated by Dan Chen.
— Dⓐniel Chen (@chendaniely) April 23, 2018
Videos and Upcoming Events
The videos will be posted at rstats.nyc in a few weeks for all to enjoy.
There are a number of other events coming up including:
- May 9: Tidy by Nature: Down with OPP (other people’s pipes)
- May 17-18: Caret Master Class with Max Kuhn
- June 21: While not officially announced yet, the June meetup features Rob Hyndman
- June 25-27: Forecasting Master Class with Rob Hyndman
- August 6-8: Stan and Bayes Master Class with Jonah Gabry
We are already beginning plans for next year’s conference and are working on bringing it to DC as well! Stay tuned for all that and more.