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666 Resources
Video
Integrating React.js and Shiny
React.js is a thriving JavaScript library that eases encapsulating and sharing sophisticated component libraries. The React.js ecosystem is filled with components for doing everything from...
Video
Introducing mlflow
We introduce the R API for MLflow, which is an open source platform for managing the machine learning lifecycle. We demonstrate each component of the platform–Tracking, Projects, and...
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Introducing the gt package
With the gt package, anyone can make great-looking display tables. Though the package is still early in development, you can do some really great things with it right now!
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Introductory statistics with R: Easing the transition to software for beginner students
In this talk, we will present our approach to incorporating R and RStudio into a 10-week introductory statistics course for non-majors Cal Poly. Our primary contribution will be to...
Video
It depends: A dialog about dependencies
Software dependencies can often be a double-edged sword. On one hand, they let you take advantage of others' work, giving your software marvelous new features and reducing bugs.
Video
Lazy evaluation
The "tidy eval" framework is implemented in the rlang package and is rolling out in packages across the Tidyverse and beyond. There is a lively conversation these days, as people come to terms with...
Video
Learning and using the Tidyverse for historical research
My talk will discuss how R, the Tidyverse, and the community around R helped me to learn to code and create my first R package. My positive experiences with the resources for learning R and...
Video
Learning from eight years of data science mistakes
Over the past eight years of doing data science, I’ve made plenty of mistakes, and I’d love to share them with you -- including what I’ve learned and what I’d do differently with some hindsight.
Video
New language features in RStudio
RStudio 1.2 dramatically improves support for many languages frequently used alongside R in data science projects, including SQL, D3, Stan, and Python. In this talk, you'll learn how to use RStudio...