Samantha is a Virginia native with a background in social psychology and statistics. She’s passionate about making data literacy more accessible for everyone, regardless of their means or background. When she’s not using R to analyze hip hop, she’s rewriting nasty math equations in Latex, organizing R-Ladies meetups, or getting her hands dirty in her vegetable garden. She lives with her partner, Nathan, and two big, stinky dogs.
April 6, 2022
Join us online April 27-29th for three days of all things Shiny.
May 25, 2021
On June 16th, we’ll be teaming up with eoda and Covestro to discuss—in German—how they put their data science into production by developing a unified infrastructure.
April 26, 2021
We recently teamed up with Extendo and ixpantia to learn how they use RStudio to help streamline their digital analytics offerings for more credible and durable marketing insights.
March 16, 2021
We’re excited to announce that all rstudio::global(2021) X-Session recordings are now available for you to watch. Catch the Pharma ones below.
March 15, 2021
We’re excited to announce that all rstudio::global(2021) X-Session recordings are now available for you to watch. Catch the Shiny sessions below.
January 11, 2021
To kick off the momentum of rstudio::global, some of our sponsors are hosting industry and professionally focused sessions the days leading up to our 24-hour marathon on January 21st.
November 10, 2020
One of our Full Service Partners, Appsilon, recently held an internal competition to help test an open source R package they developed called shiny.semantic. To make the competition a little more interesting, Appsilon reached out and asked if we would judge the submissions on their technical and creative merit. Here’s a sneak peek of the apps we got to review, and a summary of the winners.
September 10, 2020
In this post, we answer questions raised by participants and attendees during our recent Debunking R & Python Myths webinar. Our bottom line was to use the tools that let you be most productive in the shortest amount of time.
August 26, 2020
For data science to be credible, agile and durable, we need to embrace the differences between R vs. Python.
August 3, 2020
Data science teams using Qubole now have the ability to use RStudio Server Pro seamlessly within the Qubole platform to access and analyze large datasets.
![[R]eady for Production: a Joint Event with RStudio and EODA](/blog/r-eady-for-production-a-joint-event-with-rstudio-and-eoda/eoda_hu5b81162ed4f2d99d406bbdfdc58b6ded_792890_1000x0_resize_box_2.png)