Reflections on rstudio::conf 2019
- Lucia Darrow
- Feb 19, 2019
- 3 min read

At CANA Advisors, we use R daily, for everything from exploratory analysis, to generating publication-quality documents with R Markdown and interactive web apps with Shiny. In January, I made the trek down to Austin, TX to attend the RStudio conference. This was the largest RStudio conference to date, buzzing with nearly 2,000 attendees. Here a few reflections from those two enlightening days.
R in Production: Not only possible, but easy! The first keynote speaker, Joe Cheng, broke down how the RStudio team is working to make R in production effortless for R programmers with little to no experience in web development. New tools like Shiny load test, plot caching, and async are now available to supplement old standbys RStudio Connect and Profvis. Throughout his presentation, Cheng stressed the importance of addressing the cultural and organizational barriers to scaling R. The ability to swiftly take analysis from an exploration in R to production presents a new role for data scientists, one that must be taken mindfully, respecting and relying on the expertise of IT and engineering teammates.
The theme of production carried throughout the conference, with several presentations on the topic. Of note was a presentation from a team at T-Mobile, who shared a familiar story with the audience: presenting a Shiny application to high-level leadership gave credibility to their project, sparked interest, and eventually earned them additional resources to continue their work. From there, their engineering and data science teams worked together to put a Keras model into production, which is now responding to customer requests in real time. This is one of the most robust R models I’ve seen in terms of scale— seeing how they overcame technical and cultural barriers to create a fast, compact app was incredibly valuable.

Defining Data Science In the second keynote talk of the conference, Felienne Herman, shared her joys and challenges in studying how people learn programming languages. Although this may be changing for the next generation, the majority of practicing data scientists do not have a shared memory of what it looks like to learn the tools of our trade. In part, this may be because data science programs didn’t exist until a few years ago, but the issue is even more fundamental. The view that learning how to code is exploratory, done individually with great struggle, is very common, because that is how so many of us learned how to code. What if, as with math or reading, there is worth in structured education for this line of work?

Data science is supposedly the “sexiest job of the 21st century.” Despite all of the hype surrounding this career, amongst the analytics community, there is little consensus on what actually defines a data scientist, apart from a high salary. As operations research (OR) analysts, we see great overlap between our two disciplines. OR can certainly be considered a necessary predecessor of data science. While at the RStudio conference, I was surprised to see how many presenters and conference attendees, from a variety of disciplines, identified as data scientists. To an extent, it feels as if “data scientist” is an attribute that we can append to those that have mastered modern analytics techniques, whether they be biologists, geographers, or operations research analysts. Angela Bassa gave an inspiring talk about growing data science teams and taking advantage of the unique strengths individuals may bring to an organization. A panel discussion with industry leaders also addressed this topic with a conversation about how to manage a diverse set of team members.
Strength in Community
As with most R events, Hadley Wickham opened the conference with a Code of Conduct, reinforcing the importance of inclusivity and diversity. The “Pacman Rule” of always leaving space for a new face to join a conversation was honored throughout the conference. On the final evening, I connected with other RLadies at a social event. I picked up great tips on successful events from folks at different chapters from around the globe to take back to my own chapter. This event continued a theme of openness and inclusivity felt throughout the conference.

PC: JD Long
Interested in learning more? Many of these talks are available online. Check out https://resources.rstudio.com/rstudio-conf-2019 to experience the conference.


Lucia Darrow is an Operations Research Analyst at CANA Advisors. To find more content on our favorite professional events, continue to visit our CANA Connection.
u888 là lựa chọn đáng tin cậy cho người yêu thích cá cược trực tuyến, nổi bật với các trò chơi hấp dẫn như đá gà, thể thao và nổ hũ. Tỷ lệ kèo cao, trả thưởng minh bạch và giao dịch cực kỳ nhanh gọn. Tham gia trải nghiệm và nhận thưởng mỗi ngày tại u888bb com – sân chơi hàng đầu dành cho bạn.
98win là sân chơi chuyên nghiệp dành cho cả người mới và cao thủ cá cược lâu năm. Với hơn 2.500 slot game RTP ≥ 97% từ các nhà cung cấp hàng đầu và jackpot lũy tiến cực khủng, người chơi có thể đổi đời bất cứ lúc nào tại 98swin com.
King88 mang đến hệ thống cá cược trực tuyến chuyên nghiệp, dễ dùng và cực kỳ ổn định. Đăng nhập ngay để chơi tài xỉu, bắn cá, xóc đĩa… và nhận 88K miễn phí. Đặc biệt, King88 còn phát triển nhiều lĩnh vực như king88 dental đang được quan tâm gần đây.
tải go88 và tận hưởng cảm giác như chơi tại sòng bài thật với hàng loạt trò chơi siêu cuốn hút. Giao diện thân thiện, hỗ trợ 24/7 tại go88club4 com và cơ hội đổi đời chỉ với một cú click!
Từ lâu rikvip đã trở thành lựa chọn hàng đầu của cộng đồng yêu thích game đổi thưởng. Mọi thông tin mới nhất đều có tại rikvip1 ch, hỗ trợ người chơi nhanh chóng và tiện lợi bất kể ngày hay đêm.